Advanced search
Publication Cover
Acta Oncologica Volume 57, 2018 - Issue 8
Journal homepage
3,855
Views
138
CrossRef citations to date
0
Altmetric
Original Articles: Imaging

Influence of inter-observer delineation variability on radiomics stability in different tumor sites

Matea PavicDepartment of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland; Correspondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-3899-6152View further author information
ORCID Icon,
Marta BogowiczDepartment of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland; ORCID Iconhttp://orcid.org/0000-0002-4747-5375View further author information
ORCID Icon,
Xaver WürmsDepartment of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland; View further author information
,
Stefan GlatzDepartment of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland; View further author information
,
Tobias FinazziDepartment of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland; View further author information
,
Oliver RiestererDepartment of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland; View further author information
,
Johannes RoeschDepartment of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland; View further author information
,
Leonie RudofskyDepartment of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland; View further author information
,
Martina FriessDepartment of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland; View further author information
,
Patrick Veit-HaibachDepartment of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland; View further author information
,
Martin HuellnerDepartment of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland; View further author information
,
Isabelle OpitzDepartment of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland; View further author information
,
Walter WederDepartment of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland; View further author information
,
Thomas FrauenfelderInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, SwitzerlandView further author information
,
Matthias GuckenbergerDepartment of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland; View further author information
&
Stephanie Tanadini-LangDepartment of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland; View further author information
 show all
Pages 1070-1074 | Received 16 Oct 2017, Accepted 21 Feb 2018, Published online: 07 Mar 2018

Citations (138)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (4)

Salvatore Alfieri, Rebecca Romanò, Marco Bologna, Giuseppina Calareso, Valentina Corino, Aurora Mirabile, Andrea Ferri, Luca Bellanti, Tito Poli, Alessandra Marcantoni, Enrica Grosso, Achille Tarsitano, Salvatore Battaglia, Fulvia Blengio, Iolanda De Martino, Sara Valerini, Stefania Vecchio, Antonella Richetti, Letizia Deantonio, Francesco Martucci, Alberto Grammatica, Marco Ravanelli, Toni Ibrahim, Damiano Caruso, Laura Deborah Locati, Ester Orlandi, Paolo Bossi, Luca Mainardi & Lisa F. Licitra. (2021) Prognostic role of pre-treatment magnetic resonance imaging (MRI)-based radiomic analysis in effectively cured head and neck squamous cell carcinoma (HNSCC) patients. Acta Oncologica 60:9, pages 1192-1200.
Read now
Yineng Zheng, Liping Chen, Mengqi Liu, Jiahui Wu, Renqiang Yu & Fajin Lv. (2021) Nonenhanced MRI-based radiomics model for preoperative prediction of nonperfused volume ratio for high-intensity focused ultrasound ablation of uterine leiomyomas. International Journal of Hyperthermia 38:1, pages 1349-1358.
Read now
Shuang Wu, Yining Jiao, Yafang Zhang, Xuhua Ren, Ping Li, Qi Yu, Qing Zhang, Qian Wang & Shen Fu. (2019) Imaging-Based Individualized Response Prediction Of Carbon Ion Radiotherapy For Prostate Cancer Patients. Cancer Management and Research 11, pages 9121-9131.
Read now
M. Bogowicz, S. Tanadini-Lang, P. Veit-Haibach, M. Pruschy, S. Bender, A. Sharma, M. Hüllner, G. Studer, S. Stieb, H. Hemmatazad, S. Glatz, M. Guckenberger & O. Riesterer. (2019) Perfusion CT radiomics as potential prognostic biomarker in head and neck squamous cell carcinoma. Acta Oncologica 58:10, pages 1514-1518.
Read now

Articles from other publishers (134)

Jan C. Peeken, Lucas Etzel, Tim Tomov, Stefan Münch, Lars Schüttrumpf, Julius H. Shaktour, Johannes Kiechle, Carolin Knebel, Stephanie K. Schaub, Nina A. Mayr, Henry C. Woodruff, Philippe Lambin, Alexandra S. Gersing, Denise Bernhardt, Matthew J. Nyflot, Bjoern Menze, Stephanie E. Combs & Fernando Navarro. (2024) Development and benchmarking of a Deep Learning-based MRI-guided gross tumor segmentation algorithm for Radiomics analyses in extremity soft tissue sarcomas. Radiotherapy and Oncology, pages 110338.
Crossref
Seyyed Ali Hosseini, Isaac Shiri, Pardis Ghaffarian, Ghasem Hajianfar, Atlas Haddadi Avval, Milad Seyfi, Stijn Servaes, Pedro Rosa-Neto, Habib Zaidi & Mohammad Reza Ay. (2024) The effect of harmonization on the variability of PET radiomic features extracted using various segmentation methods. Annals of Nuclear Medicine.
Crossref
Haitham Al-Mubarak, Octavia Bane, Nicolas Gillingham, Christopher Kyriakakos, Ghadi Abboud, Jordan Cuevas, Janette Gonzalez, Kirolos Meilika, Amir Horowitz, Hsin-Hui Huang, Jorge Daza, Valentin Fauveau, Ketan Badani, Satish E. Viswanath, Bachir Taouli & Sara Lewis. (2024) Characterization of renal masses with MRI-based radiomics: assessment of inter-package and inter-observer reproducibility in a prospective pilot study. Abdominal Radiology.
Crossref
A. D. Smirnova, G. G. Karmazanovsky, E. V. Kondratyev, N.  A. Karelskaya, V. N. Galkin, A.  Yu. Popov, B. N. Gurmikov & D. V. Kalinin. (2024) Radiomics and radiogenomics in intrahepatic cholangiocarcinoma. Research and Practical Medicine Journal 11:1, pages 54-69.
Crossref
Salvatore Gitto, Renato Cuocolo, Vincenzo Giannetta, Julietta Badalyan, Filippo Di Luca, Stefano Fusco, Giulia Zantonelli, Domenico Albano, Carmelo Messina & Luca Maria Sconfienza. (2024) Effects of Interobserver Segmentation Variability and Intensity Discretization on MRI-Based Radiomic Feature Reproducibility of Lipoma and Atypical Lipomatous Tumor. Journal of Imaging Informatics in Medicine.
Crossref
Yumei Jin, Hongkun Yin, Huiling Zhang, Yewu Wang, Shengmei Liu, Ling Yang & Bin Song. (2023) Predicting tumor deposits in rectal cancer: a combined deep learning model using T2-MR imaging and clinical features. Insights into Imaging 14:1.
Crossref
Timo Fuchs, Lena Kaiser, Dominik Müller, Laszlo Papp, Regina Fischer & Johannes Tran-Gia. (2023) Enhancing Interoperability and Harmonisation of Nuclear Medicine Image Data and Associated Clinical Data. Nuklearmedizin - NuclearMedicine 62:06, pages 389-398.
Crossref
Mahip Grewal, Taha Ahmed & Ammar Asrar Javed. (2023) Current state of radiomics in hepatobiliary and pancreatic malignancies. Artificial Intelligence Surgery 3:4, pages 217-32.
Crossref
Lara Cavinato, Michela Carlotta Massi, Martina Sollini, Margarita Kirienko & Francesca Ieva. (2023) Dual adversarial deconfounding autoencoder for joint batch-effects removal from multi-center and multi-scanner radiomics data. Scientific Reports 13:1.
Crossref
Lahanda Purage G. Sherminie, Mohan L. Jayatilake, Badra Hewavithana, Bimali S. Weerakoon & Sahan M. Vijithananda. (2023) Morphometry-based radiomics for predicting therapeutic response in patients with gliomas following radiotherapy. Frontiers in Oncology 13.
Crossref
Burak Kocak, Aytul Hande Yardimci, Mehmet Ali Nazli, Sabahattin Yuzkan, Samet Mutlu, Tevfik Guzelbey, Merve Sam Ozdemir, Meliha Akin, Serap Yucel, Elif Bulut, Osman Nuri Bayrak & Ahmet Arda Okumus. (2023) REliability of consensus-based segMentatIoN in raDiomic feature reproducibility (REMIND): A word of caution. European Journal of Radiology 165, pages 110893.
Crossref
Francesco Verde, Arnaldo Stanzione, Renato Cuocolo, Valeria Romeo, Martina Di Stasi, Lorenzo Ugga, Pier Paolo Mainenti, Maria D’Armiento, Laura Sarno, Maurizio Guida, Arturo Brunetti & Simone Maurea. (2023) Segmentation methods applied to MRI-derived radiomic analysis for the prediction of placenta accreta spectrum in patients with placenta previa. Abdominal Radiology 48:10, pages 3207-3215.
Crossref
Fan Song, Xiao Song, Youdan Feng, Guangda Fan, Yangyang Sun, Peng Zhang, Jinkai Li, Fei Liu & Guanglei Zhang. (2023) Radiomics feature analysis and model research for predicting histopathological subtypes of non‐small cell lung cancer on CT images: A multi‐dataset study. Medical Physics 50:7, pages 4351-4365.
Crossref
Prachi Mehta, Shwetabh Sinha, Sheetal Kashid, Debanjan Chakraborty, Ritesh Mhatre & Vedang Murthy. (2023) Exploring Texture Analysis to Optimize Bladder Preservation in Muscle Invasive Bladder Cancer. Clinical Genitourinary Cancer 21:3, pages e138-e144.
Crossref
Kathryn H. Brown, Jacob Illyuk, Mihaela Ghita, Gerard M. Walls, Conor K. McGarry & Karl T. Butterworth. (2023) Assessment of Variabilities in Lung-Contouring Methods on CBCT Preclinical Radiomics Outputs. Cancers 15:10, pages 2677.
Crossref
Amine Bouhamama, Benjamin Leporq, Khuram Faraz, Jean-Philippe Foy, Maxime Boussageon, Maurice Pérol, Sandra Ortiz-Cuaran, François Ghiringhelli, Pierre Saintigny, Olivier Beuf & Frank Pilleul. (2023) Radiomics combined with transcriptomics to predict response to immunotherapy from patients treated with PD-1/PD-L1 inhibitors for advanced NSCLC. Frontiers in Radiology 3.
Crossref
Gijs A. Bartholomeus, Wouter A. C. van Amsterdam, Annemarie M.den Harder, Martin J. Willemink, Robbert W. van Hamersvelt, Pim A. de Jong & Tim Leiner. (2023) Robustness of pulmonary nodule radiomic features on computed tomography as a function of varying radiation dose levels—a multi-dose in vivo patient study. European Radiology 33:10, pages 7044-7055.
Crossref
Gabriel Adelsmayr, Michael Janisch, Ann-Katrin Kaufmann-Bühler, Magdalena Holter, Emina Talakic, Elmar Janek, Andreas Holzinger, Michael Fuchsjäger & Helmut Schöllnast. (2023) CT texture analysis reliability in pulmonary lesions: the influence of 3D vs. 2D lesion segmentation and volume definition by a Hounsfield-unit threshold. European Radiology 33:5, pages 3064-3071.
Crossref
Shuyi Lyu, Yan Zhang, Meiwu Zhang, Maoqing Jiang, Jianjun Yu, Jiazhen Zhu & Baisong Zhang. (2022) Ultrasound‐based radiomics in the diagnosis of carpal tunnel syndrome: The influence of regions of interest delineation method on mode. Journal of Clinical Ultrasound 51:3, pages 498-506.
Crossref
Sushmita Mitra. (2023) Deep Learning With Radiogenomics Towards Personalized Management of Gliomas. IEEE Reviews in Biomedical Engineering 16, pages 579-593.
Crossref
Philipp Guevorguian, Tricia Chinnery, Pencilla Lang, Anthony Nichols & Sarah A. Mattonen. (2023) External validation of a CT-based radiomics signature in oropharyngeal cancer: Assessing sources of variation. Radiotherapy and Oncology 178, pages 109434.
Crossref
Gianluca Carloni, Cristina Garibaldi, Giulia Marvaso, Stefania Volpe, Mattia Zaffaroni, Matteo Pepa, Lars Johannes Isaksson, Francesca Colombo, Stefano Durante, Giuliana Lo Presti, Sara Raimondi, Lorenzo Spaggiari, Filippo de Marinis, Gaia Piperno, Sabrina Vigorito, Sara Gandini, Marta Cremonesi, Vincenzo Positano & Barbara Alicja Jereczek-Fossa. (2023) Brain metastases from NSCLC treated with stereotactic radiotherapy: prediction mismatch between two different radiomic platforms. Radiotherapy and Oncology 178, pages 109424.
Crossref
J. Lozano-Montoya & A. Jimenez-Pastor. 2023. Basics of Image Processing. Basics of Image Processing 145 166 .
Loïc Duron & Laure S. Fournier. 2023. Multimodality Imaging and Intervention in Oncology. Multimodality Imaging and Intervention in Oncology 573 584 .
Agustina La Greca Saint-Esteven, Laura Motisi, Panagiotis Balermpas & Stephanie Tanadini-Lang. 2023. Head and Neck Tumor Segmentation and Outcome Prediction. Head and Neck Tumor Segmentation and Outcome Prediction 86 93 .
Matteo Ferrante, Lisa Rinaldi, Francesca Botta, Xiaobin Hu, Andreas Dolp, Marta Minotti, Francesca De Piano, Gianluigi Funicelli, Stefania Volpe, Federica Bellerba, Paolo De Marco, Sara Raimondi, Stefania Rizzo, Kuangyu Shi, Marta Cremonesi, Barbara A. Jereczek-Fossa, Lorenzo Spaggiari, Filippo De Marinis, Roberto Orecchia & Daniela Origgi. (2022) Application of nnU-Net for Automatic Segmentation of Lung Lesions on CT Images and Its Implication for Radiomic Models. Journal of Clinical Medicine 11:24, pages 7334.
Crossref
Hayder Alkhafaji & Abdalla Ibrahim. (2022) Effects of Contrast Enhancement Phase on the Reproducibility and Predictivity of CT-Based Renal Lesions Radiomic Features. Applied Sciences 12:24, pages 12599.
Crossref
Lisa Rinaldi, Simone P. De Angelis, Sara Raimondi, Stefania Rizzo, Cristiana Fanciullo, Cristiano Rampinelli, Manuel Mariani, Alessandro Lascialfari, Marta Cremonesi, Roberto Orecchia, Daniela Origgi & Francesca Botta. (2022) Reproducibility of radiomic features in CT images of NSCLC patients: an integrative analysis on the impact of acquisition and reconstruction parameters. European Radiology Experimental 6:1.
Crossref
Gargi Kothari, Beverley Woon, Cameron J. Patrick, James Korte, Leonard Wee, Gerard G. Hanna, Tomas Kron, Nicholas Hardcastle & Shankar Siva. (2022) The impact of inter-observer variation in delineation on robustness of radiomics features in non-small cell lung cancer. Scientific Reports 12:1.
Crossref
Grigory G. Kаrmаzаnovsky, Evgeny V. Kondratyev, Ivan S. Gruzdev, Valeriya S. Tikhonova, Maria Yu. Shantarevich, Kseniia A. Zamyatina, Vladislava I. Stashkiv & Amiran Sh. Revishvili. (2022) Modern Radiation Diagnostics and Intelligent Personalized Technologies in Hepatopancreatology. Annals of the Russian academy of medical sciences 77:4, pages 245-253.
Crossref
M. G. Poirot, M. W. A. Caan, H. G. Ruhe, A. Bjørnerud, I. Groote, L. Reneman & H. A. Marquering. (2022) Robustness of radiomics to variations in segmentation methods in multimodal brain MRI. Scientific Reports 12:1.
Crossref
Arnaldo Stanzione, Renato Cuocolo, Lorenzo Ugga, Francesco Verde, Valeria Romeo, Arturo Brunetti & Simone Maurea. (2022) Oncologic Imaging and Radiomics: A Walkthrough Review of Methodological Challenges. Cancers 14:19, pages 4871.
Crossref
Xin Tang, Jiaojiao Wu, Jiangtao Liang, Changfeng Yuan, Feng Shi & Zhongxiang Ding. (2022) The value of combined PET/MRI, CT and clinical metabolic parameters in differentiating lung adenocarcinoma from squamous cell carcinoma. Frontiers in Oncology 12.
Crossref
Chaya S. Moskowitz, Mattea L. Welch, Michael A. Jacobs, Brenda F. Kurland & Amber L. Simpson. (2022) Radiomic Analysis: Study Design, Statistical Analysis, and Other Bias Mitigation Strategies. Radiology 304:2, pages 265-273.
Crossref
Martina Mori, Lisa Alborghetti, Diego Palumbo, Sara Broggi, Davide Raspanti, Patrizia Rovere Querini, Antonella Del Vecchio, Francesco De Cobelli & Claudio Fiorino. (2022) Atlas-based lung segmentation combined with automatic densitometry characterization in COVID-19 patients: Training, validation and first application in a longitudinal study. Physica Medica 100, pages 142-152.
Crossref
Eelin Tan, Khurshid Merchant, Bhanu Prakash KN, Arvind CS, Joseph J. Zhao, Seyed Ehsan Saffari, Poh Hwa Tan & Phua Hwee Tang. (2022) CT-based morphologic and radiomics features for the classification of MYCN gene amplification status in pediatric neuroblastoma. Child's Nervous System 38:8, pages 1487-1495.
Crossref
Xinzhi Teng, Jiang Zhang, Alex Zwanenburg, Jiachen Sun, Yuhua Huang, Saikit Lam, Yuanpeng Zhang, Bing Li, Ta Zhou, Haonan Xiao, Chenyang Liu, Wen Li, Xinyang Han, Zongrui Ma, Tian Li & Jing Cai. (2022) Building reliable radiomic models using image perturbation. Scientific Reports 12:1.
Crossref
Apurva Singh, Hannah Horng, Leonid Roshkovan, Joanna K. Weeks, Michelle Hershman, Peter Noël, José Marcio Luna, Eric A. Cohen, Lauren Pantalone, Russell T. Shinohara, Joshua M. Bauml, Jeffrey C. Thompson, Charu Aggarwal, Erica L. Carpenter, Sharyn I. Katz & Despina Kontos. (2022) Development of a robust radiomic biomarker of progression-free survival in advanced non-small cell lung cancer patients treated with first-line immunotherapy. Scientific Reports 12:1.
Crossref
Lisa Rinaldi, Federico Pezzotta, Tommaso Santaniello, Paolo De Marco, Linda Bianchini, Daniela Origgi, Marta Cremonesi, Paolo Milani, Manuel Mariani & Francesca Botta. (2022) HeLLePhant: A phantom mimicking non-small cell lung cancer for texture analysis in CT images. Physica Medica 97, pages 13-24.
Crossref
Taeyong Park, Min A Yoon, Young Chul Cho, Su Jung Ham, Yousun Ko, Sehee Kim, Heeryeol Jeong & Jeongjin Lee. (2022) Automated segmentation of the fractured vertebrae on CT and its applicability in a radiomics model to predict fracture malignancy. Scientific Reports 12:1.
Crossref
Jinghao Duan, Qingtao Qiu, Jian Zhu, Dongping Shang, Xue Dou, Tao Sun, Yong Yin & Xiangjuan Meng. (2022) Reproducibility for Hepatocellular Carcinoma CT Radiomic Features: Influence of Delineation Variability Based on 3D-CT, 4D-CT and Multiple-Parameter MR Images. Frontiers in Oncology 12.
Crossref
Paula Bos, Michiel W.M. van den Brekel, Marjaneh Taghavi, Zeno A.R. Gouw, Abrahim Al-Mamgani, Selam Waktola, Hugo J.W.L. Aerts, Regina G.H. Beets-Tan, Jonas A. Castelijns & Bas Jasperse. (2022) Simple delineations cannot substitute full 3d tumor delineations for MR-based radiomics prediction of locoregional control in oropharyngeal cancer. European Journal of Radiology 148, pages 110167.
Crossref
Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Daniel Abler, Joel Castelli, Oscar Acosta, Renaud De Crevoisier, Martin Vallières, Mario Jreige, John O. Prior & Adrien Depeursinge. (2022) Cleaning radiotherapy contours for radiomics studies, is it worth it? A head and neck cancer study. Clinical and Translational Radiation Oncology 33, pages 153-158.
Crossref
Shenhao Cheng, Hongyuan Shi, Ming Lu, Chen Wang, Shaofeng Duan, Qing Xu & Haibin Shi. (2022) Radiomics Analysis for Predicting Malignant Potential of Intraductal Papillary Mucinous Neoplasms of the Pancreas: Comparison of CT and MRI. Academic Radiology 29:3, pages 367-375.
Crossref
Xingping Zhang, Yanchun Zhang, Guijuan Zhang, Xingting Qiu, Wenjun Tan, Xiaoxia Yin & Liefa Liao. (2022) Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential. Frontiers in Oncology 12.
Crossref
Sangyun Lee, Yangsean Choi, Min-Kook Seo, Jinhee Jang, Na-Young Shin, Kook-Jin Ahn & Bum-soo Kim. (2022) Magnetic Resonance Imaging-Based Radiomics for the Prediction of Progression-Free Survival in Patients with Nasopharyngeal Carcinoma: A Systematic Review and Meta-Analysis. Cancers 14:3, pages 653.
Crossref
A. Lysenko, Andrei Yaremenko & S. Baranov. (2022) Радиомика - инновационный метод визуализации в медицине. Перспективы применения при заболеваниях челюстно-лицевой области. Обзор литературы.. BULLETIN OF STOMATOLOGY AND MAXILLOFACIAL SURGERY, pages 154-163.
Crossref
Simon A. Keek, Esma Kayan, Avishek Chatterjee, José S. A. Belderbos, Gerben Bootsma, Ben van den Borne, Anne-Marie C. Dingemans, Hester A. Gietema, Harry J. M. Groen, Judith Herder, Cordula Pitz, John Praag, Dirk De Ruysscher, Janna Schoenmaekers, Hans J. M. Smit, Jos Stigt, Marcel Westenend, Haiyan Zeng, Henry C. Woodruff, Philippe Lambin & Lizza Hendriks. (2022) Investigation of the added value of CT-based radiomics in predicting the development of brain metastases in patients with radically treated stage III NSCLC. Therapeutic Advances in Medical Oncology 14, pages 175883592211166.
Crossref
Satoshi Otani, Yuki Himoto, Mizuho Nishio, Koji Fujimoto, Yusaku Moribata, Masahiro Yakami, Yasuhisa Kurata, Junzo Hamanishi, Akihiko Ueda, Sachiko Minamiguchi, Masaki Mandai & Aki Kido. (2022) Radiomic machine learning for pretreatment assessment of prognostic risk factors for endometrial cancer and its effects on radiologists' decisions of deep myometrial invasion. Magnetic Resonance Imaging 85, pages 161-167.
Crossref
Guoqing Liao, Luyu Huang, Shaowei Wu, Peirong Zhang, Daipeng Xie, Lintong Yao, Zhengjie Zhang, Su Yao, Lyu Shanshan, Siyun Wang, Guangyi Wang, Lawrence Wing-Chi Chan & Haiyu Zhou. (2022) Preoperative CT-based peritumoral and tumoral radiomic features prediction for tumor spread through air spaces in clinical stage I lung adenocarcinoma. Lung Cancer 163, pages 87-95.
Crossref
Hiroko Satake, Satoko Ishigaki, Rintaro Ito & Shinji Naganawa. (2021) Radiomics in breast MRI: current progress toward clinical application in the era of artificial intelligence. La radiologia medica 127:1, pages 39-56.
Crossref
Wen Chen, Xuewen Hou, Ying Hu, Gang Huang, Xiaodan Ye & Shengdong Nie. (2021) A deep learning‐ and CT image‐based prognostic model for the prediction of survival in non‐small cell lung cancer. Medical Physics 48:12, pages 7946-7958.
Crossref
Ryder M. Schmidt, Rodrigo Delgadillo, John C. Ford, Kyle R. Padgett, Matthew Studenski, Matthew C. Abramowitz, Benjamin Spieler, Yihang Xu, Fei Yang & Nesrin Dogan. (2021) Assessment of CT to CBCT contour mapping for radiomic feature analysis in prostate cancer. Scientific Reports 11:1.
Crossref
Grigory Karmazanovsky, Ivan Gruzdev, Valeriya Tikhonova, Evgeny Kondratyev & Amiran Revishvili. (2021) Computed tomography-based radiomics approach in pancreatic tumors characterization. La radiologia medica 126:11, pages 1388-1395.
Crossref
Arda Könik, Nityanand Miskin, Yang Guo, Atul B. Shinagare & Lei Qin. (2021) Robustness and performance of radiomic features in diagnosing cystic renal masses. Abdominal Radiology 46:11, pages 5260-5267.
Crossref
Yineng Zheng, Liping Chen, Mengqi Liu, Jiahui Wu, Renqiang Yu & Fajin Lv. (2021) Prediction of Clinical Outcome for High-Intensity Focused Ultrasound Ablation of Uterine Leiomyomas Using Multiparametric MRI Radiomics-Based Machine Leaning Model. Frontiers in Oncology 11.
Crossref
Chiara Romei, Salvatore Claudio Fanni, Federica Volpi, Alessio Milazzo, Caterina Aida D’Amore, Leonardo Colligiani, Emanuele Neri, Annalisa De Liperi, Giulia Maria Stella & Chandra Bortolotto. (2021) New Updates of the Imaging Role in Diagnosis, Staging, and Response Treatment of Malignant Pleural Mesothelioma. Cancers 13:17, pages 4377.
Crossref
Shruti Atul Mali, Abdalla Ibrahim, Henry C. Woodruff, Vincent Andrearczyk, Henning Müller, Sergey Primakov, Zohaib Salahuddin, Avishek Chatterjee & Philippe Lambin. (2021) Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods. Journal of Personalized Medicine 11:9, pages 842.
Crossref
Leehi Joo, Seung Chai Jung, Hyunna Lee, Seo Young Park, Minjae Kim, Ji Eun Park & Keum Mi Choi. (2021) Stability of MRI radiomic features according to various imaging parameters in fast scanned T2-FLAIR for acute ischemic stroke patients. Scientific Reports 11:1.
Crossref
Jeffrey Wong, Michael Baine, Sarah Wisnoskie, Nathan Bennion, Dechun Zheng, Lei Yu, Vipin Dalal, Michael A. Hollingsworth, Chi Lin & Dandan Zheng. (2021) Effects of interobserver and interdisciplinary segmentation variabilities on CT-based radiomics for pancreatic cancer. Scientific Reports 11:1.
Crossref
Salvatore Gitto, Renato Cuocolo, Ilaria Emili, Laura Tofanelli, Vito Chianca, Domenico Albano, Carmelo Messina, Massimo Imbriaco & Luca Maria Sconfienza. (2021) Effects of Interobserver Variability on 2D and 3D CT- and MRI-Based Texture Feature Reproducibility of Cartilaginous Bone Tumors. Journal of Digital Imaging 34:4, pages 820-832.
Crossref
Kaushik Dutta, Sudipta Roy, Timothy Daniel Whitehead, Jingqin Luo, Abhinav Kumar Jha, Shunqiang Li, James Dennis Quirk & Kooresh Isaac Shoghi. (2021) Deep Learning Segmentation of Triple-Negative Breast Cancer (TNBC) Patient Derived Tumor Xenograft (PDX) and Sensitivity of Radiomic Pipeline to Tumor Probability Boundary. Cancers 13:15, pages 3795.
Crossref
Bingsheng Huang, Junru Tian, Hongyuan Zhang, Zixin Luo, Jing Qin, Chen Huang, Xueping He, Yanji Luo, Yongjin Zhou, Guo Dan, Hanwei Chen, Shi-Ting Feng & Chenglang Yuan. (2021) Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis. IEEE Journal of Biomedical and Health Informatics 25:7, pages 2655-2664.
Crossref
Xiao-Jie Xie, Si-Yun Liu, Jian-You Chen, Yi Zhao, Jie Jiang, Li Wu, Xing-Wen Zhang, Yi Wu, Hui Duan, Bing He, Heng Luo & Dan Han. (2021) Development of unenhanced CT-based imaging signature for BAP1 mutation status prediction in malignant pleural mesothelioma: Consideration of 2D and 3D segmentation. Lung Cancer 157, pages 30-39.
Crossref
L. Berta, F. Rizzetto, C. De Mattia, D. Lizio, M. Felisi, P.E. Colombo, S. Carrazza, S. Gelmini, L. Bianchi, D. Artioli, F. Travaglini, A. Vanzulli & A. Torresin. (2021) Automatic lung segmentation in COVID-19 patients: Impact on quantitative computed tomography analysis. Physica Medica 87, pages 115-122.
Crossref
Jie Fu, Kamal Singhrao, Xinran Zhong, Yu Gao, Sharon X. Qi, Yingli Yang, Dan Ruan & John H. Lewis. (2021) An automatic deep learning-based workflow for glioblastoma survival prediction using pre-operative multimodal MR images: a feasibility study. Advances in Radiation Oncology, pages 100746.
Crossref
Ingrid Masson, Ronrick Da‐ano, François Lucia, Mélanie Doré, Joel Castelli, Camille Goislard de Monsabert, Jean‐François Ramée, Selima Sellami, Dimitris Visvikis, Mathieu Hatt & Ulrike Schick. (2021) Statistical harmonization can improve the development of a multicenter CT‐based radiomic model predictive of nonresponse to induction chemotherapy in laryngeal cancers. Medical Physics 48:7, pages 4099-4109.
Crossref
Sarv Priya, Tanya Aggarwal, Caitlin Ward, Girish Bathla, Mathews Jacob, Alicia Gerke, Eric A. Hoffman & Prashant Nagpal. (2021) Radiomics side experiments and DAFIT approach in identifying pulmonary hypertension using Cardiac MRI derived radiomics based machine learning models. Scientific Reports 11:1.
Crossref
Angela Davey, Marcel van Herk, Corinne Faivre-Finn, Sean Brown & Alan McWilliam. (2021) Optimising use of 4D-CT phase information for radiomics analysis in lung cancer patients treated with stereotactic body radiotherapy. Physics in Medicine & Biology 66:11, pages 115012.
Crossref
Bardia Yousefi, Michael J. LaRiviere, Eric A. Cohen, Thomas H. Buckingham, Stephanie S. Yee, Taylor A. Black, Austin L. Chien, Peter Noël, Wei-Ting Hwang, Sharyn I. Katz, Charu Aggarwal, Jeffrey C. Thompson, Erica L. Carpenter & Despina Kontos. (2021) Combining radiomic phenotypes of non-small cell lung cancer with liquid biopsy data may improve prediction of response to EGFR inhibitors. Scientific Reports 11:1.
Crossref
Hao Chen, Yaoyao He, Cecheng Zhao, Lili Zheng, Ning Pan, Jianfeng Qiu, Zhaoxi Zhang, Xiaohui Niu & Zilong Yuan. (2020) Reproducibility of radiomics features derived from intravoxel incoherent motion diffusion-weighted MRI of cervical cancer. Acta Radiologica 62:5, pages 679-686.
Crossref
Jarey H. Wang, Kareem A. Wahid, Lisanne V. van Dijk, Keyvan Farahani, Reid F. Thompson & Clifton David Fuller. (2021) Radiomic biomarkers of tumor immune biology and immunotherapy response. Clinical and Translational Radiation Oncology 28, pages 97-115.
Crossref
Ji Eun Park, Sungwon Ham, Ho Sung Kim, Seo Young Park, Jihye Yun, Hyunna Lee, Seung Hong Choi & Namkug Kim. (2020) Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma. European Radiology 31:5, pages 3127-3137.
Crossref
Sarah Denzler, Diem Vuong, Marta Bogowicz, Matea Pavic, Thomas Frauenfelder, Sandra Thierstein, Eric Innocents Eboulet, Britta Maurer, Janine Schniering, Hubert Szymon Gabryś, Isabelle Schmitt-Opitz, Miklos Pless, Robert Foerster, Matthias Guckenberger & Stephanie Tanadini-Lang. (2021) Impact of CT convolution kernel on robustness of radiomic features for different lung diseases and tissue types. The British Journal of Radiology 94:1120.
Crossref
A. Ibrahim, S. Primakov, M. Beuque, H.C. Woodruff, I. Halilaj, G. Wu, T. Refaee, R. Granzier, Y. Widaatalla, R. Hustinx, F.M. Mottaghy & P. Lambin. (2021) Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework. Methods 188, pages 20-29.
Crossref
Binsheng Zhao. (2021) Understanding Sources of Variation to Improve the Reproducibility of Radiomics. Frontiers in Oncology 11.
Crossref
Adam C. Riegel. (2021) Applications of Artificial Intelligence in Head and Neck Radiation Therapy. Applied Radiation Oncology, pages 7-12.
Crossref
Lan Wang, Jingwen Tan, Yingqian Ge, Xinwei Tao, Zheng Cui, Zhenyu Fei, Jing Lu, Huan Zhang & Zilai Pan. (2020) Assessment of liver metastases radiomic feature reproducibility with deep-learning-based semi-automatic segmentation software. Acta Radiologica 62:3, pages 291-301.
Crossref
Jose Angelo Udal Perucho, Mandi Wang, Ka Yu Tse, Philip Pun Ching Ip, Steven Wai Kwan Siu, Hextan Yuen Sheung Ngan, Pek-Lan Khong & Elaine Yuen Phin Lee. (2020) Association between MRI histogram features and treatment response in locally advanced cervical cancer treated by chemoradiotherapy. European Radiology 31:3, pages 1727-1735.
Crossref
Marta Ligero, Olivia Jordi-Ollero, Kinga Bernatowicz, Alonso Garcia-Ruiz, Eric Delgado-Muñoz, David Leiva, Richard Mast, Cristina Suarez, Roser Sala-Llonch, Nahum Calvo, Manuel Escobar, Arturo Navarro-Martin, Guillermo Villacampa, Rodrigo Dienstmann & Raquel Perez-Lopez. (2020) Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis. European Radiology 31:3, pages 1460-1470.
Crossref
Ameya Kulkarni, Ivan Carrion-Martinez, Kiret Dhindsa, Amer A. Alaref, Radu Rozenberg & Christian B. van der Pol. (2020) Pancreas adenocarcinoma CT texture analysis: comparison of 3D and 2D tumor segmentation techniques. Abdominal Radiology 46:3, pages 1027-1033.
Crossref
Maikel Verduin, Sergey Primakov, Inge Compter, Henry C. Woodruff, Sander M. J. van Kuijk, Bram L. T. Ramaekers, Maarten te Dorsthorst, Elles G. M. Revenich, Mark ter Laan, Sjoert A. H. Pegge, Frederick J. A. Meijer, Jan Beckervordersandforth, Ernst Jan Speel, Benno Kusters, Wendy W. J. de Leng, Monique M. Anten, Martijn P. G. Broen, Linda Ackermans, Olaf E. M. G. Schijns, Onno Teernstra, Koos Hovinga, Marc A. Vooijs, Vivianne C. G. Tjan-Heijnen, Danielle B. P. Eekers, Alida A. Postma, Philippe Lambin & Ann Hoeben. (2021) Prognostic and Predictive Value of Integrated Qualitative and Quantitative Magnetic Resonance Imaging Analysis in Glioblastoma. Cancers 13:4, pages 722.
Crossref
E. Forde, M. Leech, C. Robert, E. Herron & L. Marignol. (2021) Influence of inter-observer delineation variability on radiomic features of the parotid gland. Physica Medica 82, pages 240-248.
Crossref
Paula Bos, Michiel W. M. van den Brekel, Zeno A. R. Gouw, Abrahim Al‐Mamgani, Selam Waktola, Hugo J. W. L. Aerts, Regina G. H. Beets‐Tan, Jonas A. Castelijns & Bas Jasperse. (2020) Clinical variables and magnetic resonance imaging‐based radiomics predict human papillomavirus status of oropharyngeal cancer. Head & Neck 43:2, pages 485-495.
Crossref
Valentina Brancato, Marco Aiello, Luca Basso, Serena Monti, Luigi Palumbo, Giuseppe Di Costanzo, Marco Salvatore, Alfonso Ragozzino & Carlo Cavaliere. (2021) Evaluation of a multiparametric MRI radiomic-based approach for stratification of equivocal PI-RADS 3 and upgraded PI-RADS 4 prostatic lesions. Scientific Reports 11:1.
Crossref
Sungeun Park, Jeong Min Lee, Junghoan Park, Jihyuk Lee, Jae Seok Bae, Jae Hyun Kim & Ijin Joo. (2021) Volumetric CT Texture Analysis of Intrahepatic Mass-Forming Cholangiocarcinoma for the Prediction of Postoperative Outcomes: Fully Automatic Tumor Segmentation Versus Semi-Automatic Segmentation. Korean Journal of Radiology 22.
Crossref
Katharina V. Hoebel, Jay B. PatelAndrew L. BeersKen Chang, Praveer Singh, James M. Brown, Marco C. Pinho, Tracy T. BatchelorElizabeth R. GerstnerBruce R. Rosen & Jayashree Kalpathy-Cramer. (2021) Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of Glioblastoma. Radiology: Artificial Intelligence 3:1, pages e190199.
Crossref
Xiao Tian Li & Raymond Y Huang. (2020) Standardization of imaging methods for machine learning in neuro-oncology. Neuro-Oncology Advances 2:Supplement_4, pages iv49-iv55.
Crossref
Paul Giraud, Philippe Giraud, Eliot Nicolas, Pierre Boisselier, Marc Alfonsi, Michel Rives, Etienne Bardet, Valentin Calugaru, Georges Noel, Enrique Chajon, Pascal Pommier, Magali Morelle, Lionel Perrier, Xavier Liem, Anita Burgun & Jean Emmanuel Bibault. (2020) Interpretable Machine Learning Model for Locoregional Relapse Prediction in Oropharyngeal Cancers. Cancers 13:1, pages 57.
Crossref
Diem Vuong, Stephanie Tanadini-Lang, Ze Wu, Robert Marks, Jan Unkelbach, Sven Hillinger, Eric Innocents Eboulet, Sandra Thierstein, Solange Peters, Miklos Pless, Matthias Guckenberger & Marta Bogowicz. (2020) Radiomics Feature Activation Maps as a New Tool for Signature Interpretability. Frontiers in Oncology 10.
Crossref
Francesco Rizzetto, Francesca Calderoni, Cristina De Mattia, Arianna Defeudis, Valentina Giannini, Simone Mazzetti, Lorenzo Vassallo, Silvia Ghezzi, Andrea Sartore-Bianchi, Silvia Marsoni, Salvatore Siena, Daniele Regge, Alberto Torresin & Angelo Vanzulli. (2020) Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases. European Radiology Experimental 4:1.
Crossref
M. Pavic, M. Bogowicz, J. Kraft, D. Vuong, M. Mayinger, S. G. C. Kroeze, M. Friess, T. Frauenfelder, N. Andratschke, M. Huellner, W. Weder, M. Guckenberger, S. Tanadini-Lang & I. Opitz. (2020) FDG PET versus CT radiomics to predict outcome in malignant pleural mesothelioma patients. EJNMMI Research 10:1.
Crossref
Janita E. van Timmeren, Davide Cester, Stephanie Tanadini-Lang, Hatem Alkadhi & Bettina Baessler. (2020) Radiomics in medical imaging—“how-to” guide and critical reflection. Insights into Imaging 11:1.
Crossref
Christoph Haarburger, Gustav Müller-Franzes, Leon Weninger, Christiane Kuhl, Daniel Truhn & Dorit Merhof. (2020) Radiomics feature reproducibility under inter-rater variability in segmentations of CT images. Scientific Reports 10:1.
Crossref
I.S. Gruzdev, K.A. Zamyatina, V.S. Tikhonova, E.V. Kondratyev, A.V. Glotov, G.G. Karmazanovsky & A. Sh. Revishvili. (2020) Reproducibility of CT texture features of pancreatic neuroendocrine neoplasms. European Journal of Radiology 133, pages 109371.
Crossref
Jiliang Ren, Ying Yuan, Meng Qi & Xiaofeng Tao. (2020) Machine learning–based CT texture analysis to predict HPV status in oropharyngeal squamous cell carcinoma: comparison of 2D and 3D segmentation. European Radiology 30:12, pages 6858-6866.
Crossref
Isabelle Opitz & Katarzyna Furrer. (2020) Preoperative Identification of Benefit from Surgery for Malignant Pleural Mesothelioma. Thoracic Surgery Clinics 30:4, pages 435-449.
Crossref
Isabella Fornacon-Wood, Hitesh Mistry, Christoph J. Ackermann, Fiona Blackhall, Andrew McPartlin, Corinne Faivre-Finn, Gareth J. Price & James P. B. O’Connor. (2020) Reliability and prognostic value of radiomic features are highly dependent on choice of feature extraction platform. European Radiology 30:11, pages 6241-6250.
Crossref
Hongxi Wang, Yi Zhou, Li Li, Wenxiu Hou, Xuelei Ma & Rong Tian. (2020) Current status and quality of radiomics studies in lymphoma: a systematic review. European Radiology 30:11, pages 6228-6240.
Crossref
Stefan Leger, Alex Zwanenburg, Karoline Leger, Fabian Lohaus, Annett Linge, Andreas Schreiber, Goda Kalinauskaite, Inge Tinhofer, Nika Guberina, Maja Guberina, Panagiotis Balermpas, Jens von der Grün, Ute Ganswindt, Claus Belka, Jan C. Peeken, Stephanie E. Combs, Simon Boeke, Daniel Zips, Christian Richter, Mechthild Krause, Michael Baumann, Esther G.C. Troost & Steffen Löck. (2020) Comprehensive Analysis of Tumour Sub-Volumes for Radiomic Risk Modelling in Locally Advanced HNSCC. Cancers 12:10, pages 3047.
Crossref
Yimin Li, Marcus Beck, Tom Päßler, Chen Lili, Wu Hua, Ha Dong Mai, Holger Amthauer, Matthias Biebl, Peter C. Thuss-Patience, Jasmin Berger, Carmen Stromberger, Ingeborg Tinhofer, Jochen Kruppa, Volker Budach, Frank Hofheinz, Qin Lin & Sebastian Zschaeck. (2020) A FDG-PET radiomics signature detects esophageal squamous cell carcinoma patients who do not benefit from chemoradiation. Scientific Reports 10:1.
Crossref
Stephanie Tanadini-Lang, Panagiotis Balermpas, Matthias Guckenberger, Matea Pavic, Oliver Riesterer, Diem Vuong & Marta Bogowicz. (2020) Radiomic biomarkers for head and neck squamous cell carcinoma. Strahlentherapie und Onkologie 196:10, pages 868-878.
Crossref
Diem Vuong, Marta Bogowicz, Sarah Denzler, Carol Oliveira, Robert Foerster, Florian Amstutz, Hubert S. Gabryś, Jan Unkelbach, Sven Hillinger, Sandra Thierstein, Alexandros Xyrafas, Solange Peters, Miklos Pless, Matthias Guckenberger & Stephanie Tanadini‐Lang. (2020) Comparison of robust to standardized CT radiomics models to predict overall survival for non‐small cell lung cancer patients. Medical Physics 47:9, pages 4045-4053.
Crossref
R. W. Y. Granzier, N. M. H. Verbakel, A. Ibrahim, J. E. van Timmeren, T. J. A. van Nijnatten, R. T. H. Leijenaar, M. B. I. Lobbes, M. L. Smidt & H. C. Woodruff. (2020) MRI-based radiomics in breast cancer: feature robustness with respect to inter-observer segmentation variability. Scientific Reports 10:1.
Crossref
Isabella Fornacon-Wood, Corinne Faivre-Finn, James P.B. O’Connor & Gareth J. Price. (2020) Radiomics as a personalized medicine tool in lung cancer: Separating the hope from the hype. Lung Cancer 146, pages 197-208.
Crossref
Parnian Afshar, Arash Mohammadi, Pascal N. Tyrrell, Patrick Cheung, Ahmed Sigiuk, Konstantinos N. Plataniotis, Elsie T. Nguyen & Anastasia Oikonomou. (2020) $$\text {DRTOP}$$: deep learning-based radiomics for the time-to-event outcome prediction in lung cancer. Scientific Reports 10:1.
Crossref
Ashirbani Saha, Samantha Tso, Jessica Rabski, Alireza Sadeghian & Michael D. Cusimano. (2020) Machine learning applications in imaging analysis for patients with pituitary tumors: a review of the current literature and future directions. Pituitary 23:3, pages 273-293.
Crossref
Parnian Afshar, Anastasia Oikonomou, Konstantinos N. Plataniotis & Arash Mohammadi. (2020) MDR-SURV: A Multi-Scale Deep Learning-Based Radiomics for Survival Prediction in Pulmonary Malignancies. MDR-SURV: A Multi-Scale Deep Learning-Based Radiomics for Survival Prediction in Pulmonary Malignancies.
Jie Fu, Xinran Zhong, Ning Li, Ritchell Van Dams, John Lewis, Kyunghyun Sung, Ann C Raldow, Jing Jin & X Sharon Qi. (2020) Deep learning-based radiomic features for improving neoadjuvant chemoradiation response prediction in locally advanced rectal cancer. Physics in Medicine & Biology 65:7, pages 075001.
Crossref
Mohammadhadi Khorrami, Kaustav Bera, Patrick Leo, Pranjal Vaidya, Pradnya Patil, Rajat Thawani, Priya Velu, Prabhakar Rajiah, Mehdi Alilou, Humberto Choi, Michael D. Feldman, Robert C. Gilkeson, Philip Linden, Pingfu Fu, Harvey Pass, Vamsidhar Velcheti & Anant Madabhushi. (2020) Stable and discriminating radiomic predictor of recurrence in early stage non-small cell lung cancer: Multi-site study. Lung Cancer 142, pages 90-97.
Crossref
Marco Caballo, Domenico R. Pangallo, Ritse M. Mann & Ioannis Sechopoulos. (2020) Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence. Computers in Biology and Medicine 118, pages 103629.
Crossref
Takeshi Wada, Hajime Yokota, Takuro Horikoshi, Jay Starkey, Shinya Hattori, Jun Hashiba & Takashi Uno. (2019) Diagnostic performance and inter-operator variability of apparent diffusion coefficient analysis for differentiating pleomorphic adenoma and carcinoma ex pleomorphic adenoma: comparing one-point measurement and whole-tumor measurement including radiomics approach. Japanese Journal of Radiology 38:3, pages 207-214.
Crossref
Angela Davey, Marcel van Herk, Corinne Faivre-Finn, Hitesh Mistry & Alan McWilliam. (2020) Is tumour sphericity an important prognostic factor in patients with lung cancer?. Radiotherapy and Oncology 143, pages 73-80.
Crossref
F. Yang, G. Simpson, L. Young, J. Ford, N. Dogan & L. Wang. (2020) Impact of contouring variability on oncological PET radiomics features in the lung. Scientific Reports 10:1.
Crossref
Ji Eun Park, Philipp Kickingereder & Ho Sung Kim. (2020) Radiomics and Deep Learning from Research to Clinical Workflow: Neuro-Oncologic Imaging. Korean Journal of Radiology 21:10, pages 1126.
Crossref
Kenta Ninomiya & Hidetaka Arimura. (2020) Homological radiomics analysis for prognostic prediction in lung cancer patients. Physica Medica 69, pages 90-100.
Crossref
Rikiya Yamashita, Thomas Perrin, Jayasree Chakraborty, Joanne F. Chou, Natally Horvat, Maura A. Koszalka, Abhishek Midya, Mithat Gonen, Peter Allen, William R. Jarnagin, Amber L. Simpson & Richard K. G. Do. (2019) Radiomic feature reproducibility in contrast-enhanced CT of the pancreas is affected by variabilities in scan parameters and manual segmentation. European Radiology 30:1, pages 195-205.
Crossref
Marta Bogowicz, Diem Vuong, Martin W. Huellner, Matea Pavic, Nicolaus Andratschke, Hubert S. Gabrys, Matthias Guckenberger & Stephanie Tanadini-Lang. (2019) CT radiomics and PET radiomics: ready for clinical implementation?. The Quarterly Journal of Nuclear Medicine and Molecular Imaging 63:4.
Crossref
Xiao Zhang, Liming Zhong, Bin Zhang, Lu Zhang, Haiyan Du, Lijun Lu, Shuixing Zhang, Wei Yang & Qianjin Feng. (2019) The effects of volume of interest delineation on MRI-based radiomics analysis: evaluation with two disease groups. Cancer Imaging 19:1.
Crossref
Khadija Sheikh, Sang Ho Lee, Zhi Cheng, Pranav Lakshminarayanan, Luke Peng, Peijin Han, Todd R. McNutt, Harry Quon & Junghoon Lee. (2019) Predicting acute radiation induced xerostomia in head and neck Cancer using MR and CT Radiomics of parotid and submandibular glands. Radiation Oncology 14:1.
Crossref
Mathias Meyer, James Ronald, Federica Vernuccio, Rendon C. Nelson, Juan Carlos Ramirez-Giraldo, Justin Solomon, Bhavik N. Patel, Ehsan Samei & Daniele Marin. (2019) Reproducibility of CT Radiomic Features within the Same Patient: Influence of Radiation Dose and CT Reconstruction Settings. Radiology 293:3, pages 583-591.
Crossref
Concetta Piazzese, Kieran Foley, Philip Whybra, Chris Hurt, Tom Crosby & Emiliano Spezi. (2019) Discovery of stable and prognostic CT-based radiomic features independent of contrast administration and dimensionality in oesophageal cancer. PLOS ONE 14:11, pages e0225550.
Crossref
Sarah A. Mattonen, Guido A. Davidzon, Jalen Benson, Ann N. C. Leung, Minal Vasanawala, George Horng, Joseph B. Shrager, Sandy Napel & Viswam S. Nair. (2019) Bone Marrow and Tumor Radiomics at 18 F-FDG PET/CT: Impact on Outcome Prediction in Non–Small Cell Lung Cancer . Radiology 293:2, pages 451-459.
Crossref
Jiliang Ren, Ying Yuan, Yiqian Shi & Xiaofeng Tao. (2019) Tumor heterogeneity in oral and oropharyngeal squamous cell carcinoma assessed by texture analysis of CT and conventional MRI: a potential marker of overall survival. Acta Radiologica 60:10, pages 1273-1280.
Crossref
Elena Incerti, Emilia G. Vanoli, Sara Broggi, Calogero Gumina, Paolo Passoni, Najla Slim, Claudio Fiorino, Michele Reni, Paola Mapelli, Mauro Cattaneo, Silvia Zanon, Riccardo Calandrino, Luigi Gianolli, Nadia Di Muzio & Maria Picchio. (2019) Early variation of 18-fluorine-labelled fluorodeoxyglucose PET-derived parameters after chemoradiotherapy as predictors of survival in locally advanced pancreatic carcinoma patients. Nuclear Medicine Communications 40:10, pages 1072-1080.
Crossref
Luca Cozzi, Ciro Franzese, Antonella Fogliata, Davide Franceschini, Pierina Navarria, Stefano Tomatis & Marta Scorsetti. (2019) Predicting survival and local control after radiochemotherapy in locally advanced head and neck cancer by means of computed tomography based radiomicsVorhersage von Überleben und lokaler Kontrolle nach Radiochemotherapie bei lokal fortgeschrittenen Kopf-Hals-Tumoren mittels computertomographiebasierter Radiomics-Technik. Strahlentherapie und Onkologie 195:9, pages 805-818.
Crossref
Burak KocakEmine Sebnem DurmazOzlem Korkmaz KayaEce AtesOzgur Kilickesmez. (2019) Reliability of Single-Slice–Based 2D CT Texture Analysis of Renal Masses: Influence of Intra- and Interobserver Manual Segmentation Variability on Radiomic Feature Reproducibility. American Journal of Roentgenology 213:2, pages 377-383.
Crossref
Sandra Fiset, Mattea L. Welch, Jessica Weiss, Melania Pintilie, Jessica L. Conway, Michael Milosevic, Anthony Fyles, Alberto Traverso, David Jaffray, Ur Metser, Jason Xie & Kathy Han. (2019) Repeatability and reproducibility of MRI-based radiomic features in cervical cancer. Radiotherapy and Oncology 135, pages 107-114.
Crossref
Hans-Jonas Meyer, Gordian Hamerla, Anne Kathrin Höhn & Alexey Surov. (2019) CT Texture Analysis—Correlations With Histopathology Parameters in Head and Neck Squamous Cell Carcinomas. Frontiers in Oncology 9.
Crossref
Jan H. Moltz. (2019) Stability of radiomic features of liver lesions from manual delineation in CT scans. Stability of radiomic features of liver lesions from manual delineation in CT scans.
Alex Zwanenburg, Stefan Leger, Linda Agolli, Karoline Pilz, Esther G. C. Troost, Christian Richter & Steffen Löck. (2019) Assessing robustness of radiomic features by image perturbation. Scientific Reports 9:1.
Crossref
Ji Eun Park, Seo Young Park, Hwa Jung Kim & Ho Sung Kim. (2019) Reproducibility and Generalizability in Radiomics Modeling: Possible Strategies in Radiologic and Statistical Perspectives. Korean Journal of Radiology 20:7, pages 1124.
Crossref
M Biondi, E Vanzi, G De Otto, S F Carbone, V Nardone & F Banci Buonamici. (2018) Effects of CT FOV displacement and acquisition parameters variation on texture analysis features. Physics in Medicine & Biology 63:23, pages 235021.
Crossref
Maria Luisa Belli, Martina Mori, Sara Broggi, Giovanni Mauro Cattaneo, Valentino Bettinardi, Italo Dell'Oca, Federico Fallanca, Paolo Passoni, Emilia Giovanna Vanoli, Riccardo Calandrino, Nadia Di Muzio, Maria Picchio & Claudio Fiorino. (2018) Quantifying the robustness of [ 18 F]FDG-PET/CT radiomic features with respect to tumor delineation in head and neck and pancreatic cancer patients. Physica Medica 49, pages 105-111.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.