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Cancer Management and Research Volume 11, 2019 - Issue

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Original Research

Radiomic signature: a non-invasive biomarker for discriminating invasive and non-invasive cases of lung adenocarcinoma

Bin Yang1 Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing210002, People’s Republic of China

Lili Guo2 Department of Radiology, The Affiliated Huaian No.1 People’s Hospital of Nanjing Medical University, Huai’an223300, People’s Republic of ChinaCorrespondence[email protected]

Guangming Lu1 Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing210002, People’s Republic of ChinaCorrespondence[email protected]

Wenli Shan2 Department of Radiology, The Affiliated Huaian No.1 People’s Hospital of Nanjing Medical University, Huai’an223300, People’s Republic of China

Lizhen Duan2 Department of Radiology, The Affiliated Huaian No.1 People’s Hospital of Nanjing Medical University, Huai’an223300, People’s Republic of China

Shaofeng Duan3 GE Healthcare China, Shanghai210000, People’s Republic of China

Pages 7825-7834 | Published online: 19 Aug 2019

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Lizhen Duan, Longjiang Zhang, Guangming Lu, Lili Guo, Shaofeng Duan & Changsheng Zhou. (2023) A CT-Based Radiomics Model for Prediction of Prognosis in Patients with Novel Coronavirus Disease (COVID-19) Pneumonia: A Preliminary Study. Diagnostics 13:8, pages 1479.
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Hui Feng, Gaofeng Shi, Qian Xu, Jialiang Ren, Lijia Wang & Xiaojia Cai. (2023) Radiomics-based analysis of CT imaging for the preoperative prediction of invasiveness in pure ground-glass nodule lung adenocarcinomas. Insights into Imaging 14:1.
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Gary Ge & Jie Zhang. (2022) Feature selection methods and predictive models in CT lung cancer radiomics. Journal of Applied Clinical Medical Physics 24:1.
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Feng Li, Yandie Niu, Wei Zhao, Cheng Yan & Yonghua Qi. (2022) Construction and validation of a prognostic model for lung adenocarcinoma based on endoplasmic reticulum stress-related genes. Scientific Reports 12:1.
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Che-Wei Su, Jehn-Chuan Lee, Yi-Fang Chang, Nai-Wen Su, Pei-Hsuan Lee, Kun-Yao Dai, Hung-Chi Tai, Yi-Shing Leu & Yu-Jen Chen. (2021) Delta-volume radiomics of induction chemotherapy to predict outcome of subsequent chemoradiotherapy for locally advanced hypopharyngeal cancer. Tumori Journal 108:5, pages 450-460.
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Yining Jiang, Ziqi Xiong, Wenjing Zhao, Jingyu Zhang, Yan Guo, Guosheng Li & Zhiyong Li. (2022) Computed tomography radiomics-based distinction of invasive adenocarcinoma from minimally invasive adenocarcinoma manifesting as pure ground-glass nodules with bubble-like signs. General Thoracic and Cardiovascular Surgery 70:10, pages 880-890.
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Lea Azour, Jane P. Ko, Thomas O’Donnell, Nihal Patel, Priya Bhattacharji & William H. Moore. (2022) Combined whole-lesion radiomic and iodine analysis for differentiation of pulmonary tumors. Scientific Reports 12:1.
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Fen-hua Zhao, Hong-jie Fan, Kang-fei Shan, Long Zhou, Zhen-zhu Pang, Chun-long Fu, Ze-bin Yang, Mei-kang Wu, Ji-hong Sun, Xiao-ming Yang & Zhao-hui Huang. (2022) Predictive Efficacy of a Radiomics Random Forest Model for Identifying Pathological Subtypes of Lung Adenocarcinoma Presenting as Ground-Glass Nodules. Frontiers in Oncology 12.
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Yun-Ju Wu, Fu-Zong Wu, Shu-Ching Yang, En-Kuei Tang & Chia-Hao Liang. (2022) Radiomics in Early Lung Cancer Diagnosis: From Diagnosis to Clinical Decision Support and Education. Diagnostics 12:5, pages 1064.
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Athanasios K. Anagnostopoulos, Anastasios Gaitanis, Ioannis Gkiozos, Emmanouil I. Athanasiadis, Sofia N. Chatziioannou, Konstantinos N. Syrigos, Dimitris Thanos, Achilles N. Chatziioannou & Nikolaos Papanikolaou. (2022) Radiomics/Radiogenomics in Lung Cancer: Basic Principles and Initial Clinical Results. Cancers 14:7, pages 1657.
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Zongyu Xie, Haitao Sun, Jian Wang, He Xu, Shuhua Li, Cancan Zhao, Yuqing Gao, Xiaolei Wang, Tongtong Zhao, Shaofeng Duan, Chunhong Hu & Weiqun Ao. (2021) A novel CT-based radiomics in the distinction of severity of coronavirus disease 2019 (COVID-19) pneumonia. BMC Infectious Diseases 21:1.
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Lili Shi, Jinli Zhao, Xueqing Peng, Yunpeng Wang, Lei Liu & Meihong Sheng. (2021) CT-based radiomics for differentiating invasive adenocarcinomas from indolent lung adenocarcinomas appearing as ground-glass nodules: A systematic review. European Journal of Radiology 144, pages 109956.
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Mitsuteru Yoshida, Masao Yuasa, Hirohisa Ogawa, Naoki Miyamoto, Yukikiyo Kawakami, Kazuya Kondo & Akira Tangoku. (2021) Can computed tomography differentiate adenocarcinoma in situ from minimally invasive adenocarcinoma?. Thoracic Cancer 12:7, pages 1023-1032.
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Yun-Ju Wu, Yung-Chi Liu, Chien-Yang Liao, En-Kuei Tang & Fu-Zong Wu. (2021) A comparative study to evaluate CT-based semantic and radiomic features in preoperative diagnosis of invasive pulmonary adenocarcinomas manifesting as subsolid nodules. Scientific Reports 11:1.
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Petros Kalendralis, Zhenwei Shi, Alberto Traverso, Ananya Choudhury, Matthijs Sloep, Ivan Zhovannik, Martijn P.A. Starmans, Detlef Grittner, Peter Feltens, Rene Monshouwer, Stefan Klein, Rianne Fijten, Hugo Aerts, Andre Dekker, Johan van Soest & Leonard Wee. (2020) FAIR‐compliant clinical, radiomics and DICOM metadata of RIDER, interobserver, Lung1 and head‐Neck1 TCIA collections. Medical Physics 47:11, pages 5931-5940.
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Mengmeng Yan & Weidong Wang. (2020) Development of a Radiomics Prediction Model for Histological Type Diagnosis in Solitary Pulmonary Nodules: The Combination of CT and FDG PET. Frontiers in Oncology 10.
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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.
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Mengmeng Yan & Weidong Wang. (2020) A Non-invasive Method to Diagnose Lung Adenocarcinoma. Frontiers in Oncology 10.
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Radiomic signature: a non-invasive biomarker for discriminating invasive and non-invasive cases of lung adenocarcinoma

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Radiomic signature: a non-invasive biomarker for discriminating invasive and non-invasive cases of lung adenocarcinoma

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