Advanced search
Publication Cover
Acta Oncologica Volume 55, 2016 - Issue 7
Journal homepage
3,529
Views
51
CrossRef citations to date
0
Altmetric
REVIEW

Use of auto-segmentation in the delineation of target volumes and organs at risk in head and neck

Jia Yi LimApplied Radiation Therapy Trinity, Discipline of Radiation Therapy, Trinity College, Dublin, Ireland; ;Department of Radiation Oncology, National Cancer Centre, SingaporeCorrespondence[email protected]
&
Michelle LeechApplied Radiation Therapy Trinity, Discipline of Radiation Therapy, Trinity College, Dublin, Ireland;
Pages 799-806 | Received 08 Nov 2015, Accepted 21 Mar 2016, Published online: 01 Jun 2016

Citations (51)

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 (3)

Camilla Panduro Nielsen, Ebbe Laugaard Lorenzen, Kenneth Jensen, Nis Sarup, Carsten Brink, Bob Smulders, Anne Ivalu Sander Holm, Eva Samsøe, Martin Skovmos Nielsen, Patrik Sibolt, Peter Sandegaard Skyt, Ulrik Vindelev Elstrøm, Jørgen Johansen, Ruta Zukauskaite, Jesper Grau Eriksen, Mohammad Farhadi, Maria Andersen, Christian Maare, Jens Overgaard, Cai Grau, Jeppe Friborg & Christian Rønn Hansen. (2023) Consistency in contouring of organs at risk by artificial intelligence vs oncologists in head and neck cancer patients. Acta Oncologica 62:11, pages 1418-1425.
Read now
Jinhan Zhu, Jun Zhang, Bo Qiu, Yimei Liu, Xiaowei Liu & Lixin Chen. (2019) Comparison of the automatic segmentation of multiple organs at risk in CT images of lung cancer between deep convolutional neural network-based and atlas-based techniques. Acta Oncologica 58:2, pages 257-264.
Read now
J. Castelli, A. Simon, C. Lafond, N. Perichon, B. Rigaud, E. Chajon, B. De Bari, M. Ozsahin, J. Bourhis & R. de Crevoisier. (2018) Adaptive radiotherapy for head and neck cancer. Acta Oncologica 57:10, pages 1284-1292.
Read now

Articles from other publishers (48)

Tanwiwat Jaikuna, Eliana Vasquez Osorio, David Azria, Jenny Chang-Claude, Maria Carmen De Santis, Sara Gutiérrez-Enríquez, Marcel van Herk, Peter Hoskin, Maarten Lambrecht, Zoe Lingard, Petra Seibold, Alejandro Seoane, Elena Sperk, R Paul Symonds, Christopher J. Talbot, Tiziana Rancati, Tim Rattay, Victoria Reyes, Barry S. Rosenstein, Dirk de Ruysscher, Ana Vega, Liv Veldeman, Adam Webb, Catharine M.L. West & Marianne C. Aznar. (2023) Contouring variation affects estimates of normal tissue complication probability for breast fibrosis after radiotherapy. The Breast 72, pages 103578.
Crossref
Jihye Koo, Jimmy Caudell, Kujtim Latifi, Eduardo G. Moros & Vladimir Feygelman. (2023) Essentially unedited deep‐learning‐based OARs are suitable for rigorous oropharyngeal and laryngeal cancer treatment planning. Journal of Applied Clinical Medical Physics.
Crossref
Madalina Costea, Alexandra Zlate, Anne-Agathe Serre, Séverine Racadot, Thomas Baudier, Sylvie Chabaud, Vincent Grégoire, David Sarrut & Marie-Claude Biston. (2023) Evaluation of different algorithms for automatic segmentation of head-and-neck lymph nodes on CT images. Radiotherapy and Oncology 188, pages 109870.
Crossref
Luis A. Maduro Bustos, Abhirup Sarkar, Laura A. Doyle, Kelly Andreou, Jodie Noonan, Diana Nurbagandova, SunJay A. Shah, Omoruyi Credit Irabor & Firas Mourtada. (2023) Feasibility evaluation of novel AI‐based deep‐learning contouring algorithm for radiotherapy. Journal of Applied Clinical Medical Physics 24:11.
Crossref
E Borderias-Villarroel, A Fredriksson, S Cvilic, D Di Perri, E Longton, J Pierrard, X Geets & E Sterpin. (2023) Dose mimicking based strategies for online adaptive proton therapy of head and neck cancer. Physics in Medicine & Biology 68:10, pages 105002.
Crossref
H. Ahervo, J. Korhonen, S. Lim Wei Ming, F. Guan Yunqing, M. Soini, C. Lian Pei Ling & E. Metsälä. (2023) Artificial intelligence-supported applications in head and neck cancer radiotherapy treatment planning and dose optimisation. Radiography 29:3, pages 496-502.
Crossref
Nolwenn Delaby, Anaïs Barateau, Sophie Chiavassa, Marie-Claude Biston, Philippe Chartier, Eliane Graulières, Lucie Guinement, Sandrine Huger, Thomas Lacornerie, Corinne Millardet-Martin, Alain Sottiaux, Jérôme Caron, David Gensanne, Yoann Pointreau, Alexandre Coutte, Julian Biau, Anne-Agathe Serre, Joel Castelli, Milan Tomsej, Robin Garcia, Catherine Khamphan & Aurélien Badey. (2023) Practical and technical key challenges in head and neck adaptive radiotherapy: The GORTEC point of view. Physica Medica 109, pages 102568.
Crossref
Eddie Gibbons, Matthew Hoffmann, Justin Westhuyzen, Andrew Hodgson, Brendan Chick & Andrew Last. (2022) Clinical evaluation of deep learning and atlas‐based auto‐segmentation for critical organs at risk in radiation therapy. Journal of Medical Radiation Sciences 70:S2, pages 15-25.
Crossref
Xue Li, Jun Huang, Cuiting Wang, Xiaxia Yu, Tianhao Zhao, Chuan Huang & Yi Gao. (2022) Expectation-maximization algorithm leads to domain adaptation for a perineural invasion and nerve extraction task in whole slide digital pathology images. Medical & Biological Engineering & Computing 61:2, pages 457-473.
Crossref
Selvasudha Nandakumar, Shah Alam Khan, Poovi Ganesan, Pushpa Sweety, Arul Prakash Francis, Mahendran Sekar, Rukkumani Rajagopalan & Dhanalekshmi Unnikrishnan Meenakshi. 2022. Deep Learning for Targeted Treatments. Deep Learning for Targeted Treatments 127 169 .
Jihye Koo, Jimmy J. Caudell, Kujtim Latifi, Petr Jordan, Sangyu Shen, Philip M. Adamson, Eduardo G. Moros & Vladimir Feygelman. (2022) Comparative evaluation of a prototype deep learning algorithm for autosegmentation of normal tissues in head and neck radiotherapy. Radiotherapy and Oncology 174, pages 52-58.
Crossref
E. Tryggestad, A. Anand, C. Beltran, J. Brooks, J. Cimmiyotti, N. Grimaldi, T. Hodge, A. Hunzeker, J. J. Lucido, N. N. Laack, R. Momoh, D. J. Moseley, S. H. Patel, A. Ridgway, S. Seetamsetty, S. Shiraishi, L. Undahl & R. L. Foote. (2022) Scalable radiotherapy data curation infrastructure for deep-learning based autosegmentation of organs-at-risk: A case study in head and neck cancer. Frontiers in Oncology 12.
Crossref
Andrea D’Aviero, Alessia Re, Francesco Catucci, Danila Piccari, Claudio Votta, Domenico Piro, Antonio Piras, Carmela Di Dio, Martina Iezzi, Francesco Preziosi, Sebastiano Menna, Flaviovincenzo Quaranta, Althea Boschetti, Marco Marras, Francesco Miccichè, Roberto Gallus, Luca Indovina, Francesco Bussu, Vincenzo Valentini, Davide Cusumano & Gian Carlo Mattiucci. (2022) Clinical Validation of a Deep-Learning Segmentation Software in Head and Neck: An Early Analysis in a Developing Radiation Oncology Center. International Journal of Environmental Research and Public Health 19:15, pages 9057.
Crossref
Sebastian Marschner, Manasi Datar, Aurélie Gaasch, Zhoubing Xu, Sasa Grbic, Guillaume Chabin, Bernhard Geiger, Julian Rosenman, Stefanie Corradini, Maximilian Niyazi, Tobias Heimann, Christian Möhler, Fernando Vega, Claus Belka & Christian Thieke. (2022) A deep image-to-image network organ segmentation algorithm for radiation treatment planning: principles and evaluation. Radiation Oncology 17:1.
Crossref
Elena Borderías-Villarroel, Vicki Taasti, Wouter Van Elmpt, S. Teruel-Rivas, X. Geets & E. Sterpin. (2022) Evaluation of the clinical value of automatic online dose restoration for adaptive proton therapy of head and neck cancer. Radiotherapy and Oncology 170, pages 190-197.
Crossref
K. Harrison, H. Pullen, C. Welsh, O. Oktay, J. Alvarez-Valle & R. Jena. (2022) Machine Learning for Auto-Segmentation in Radiotherapy Planning. Clinical Oncology 34:2, pages 74-88.
Crossref
Yimin Li, Shyam Rao, Wen Chen, Soheila F. Azghadi, Ky Nam Bao Nguyen, Angel Moran, Brittni M Usera, Brandon A Dyer, Lu Shang, Quan Chen & Yi Rong. (2022) Evaluating Automatic Segmentation for Swallowing-Related Organs for Head and Neck Cancer. Technology in Cancer Research & Treatment 21, pages 153303382211057.
Crossref
Kenneth C. W. Wong, Edwin P. Hui, Kwok-Wai Lo, Wai Kei Jacky Lam, David Johnson, Lili Li, Qian Tao, Kwan Chee Allen Chan, Ka-Fai To, Ann D. King, Brigette B. Y. Ma & Anthony T. C. Chan. (2021) Nasopharyngeal carcinoma: an evolving paradigm. Nature Reviews Clinical Oncology 18:11, pages 679-695.
Crossref
Xiaokun Liang, Na Li, Zhicheng Zhang, Jing Xiong, Shoujun Zhou & Yaoqin Xie. (2021) Incorporating the hybrid deformable model for improving the performance of abdominal CT segmentation via multi-scale feature fusion network. Medical Image Analysis 73, pages 102156.
Crossref
C. Robert, A. Munoz, D. Moreau, J. Mazurier, G. Sidorski, A. Gasnier, G. Beldjoudi, V. Grégoire, E. Deutsch, P. Meyer & L. Simon. (2021) Clinical implementation of deep-learning based auto-contouring tools–Experience of three French radiotherapy centers. Cancer/Radiothérapie 25:6-7, pages 607-616.
Crossref
Yang Zhong, Yanju Yang, Yingtao Fang, Jiazhou Wang & Weigang Hu. (2021) A Preliminary Experience of Implementing Deep-Learning Based Auto-Segmentation in Head and Neck Cancer: A Study on Real-World Clinical Cases. 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
Wen Chen, Yimin Li, Nimu Yuan, Jinyi Qi, Brandon A. Dyer, Levent Sensoy, Stanley H. Benedict, Lu Shang, Shyam Rao & Yi Rong. (2021) Clinical Enhancement in AI-Based Post-processed Fast-Scan Low-Dose CBCT for Head and Neck Adaptive Radiotherapy. Frontiers in Artificial Intelligence 3.
Crossref
Cuihua Li, Hongyan Liu, Peilin Li, Jia He, Xiufang Tian & Wei Gao. (2021) Applications of artificial intelligence in radiophysics. Journal of Cancer Research and Therapeutics 17:7, pages 1603.
Crossref
Lixun XianGuangjun Li, Qing Xiao, Zhibin Li, Xiangbin Zhang, Li Chen, Zhenyao Hu & Sen Bai. (2021) Clinically Oriented Target Contour Evaluation Using Geometric and Dosimetric Indices Based on Simple Geometric Transformations. Technology in Cancer Research & Treatment 20, pages 153303382110363.
Crossref
Chiara Dachena, Alessandro Fedeli, Alessandro Fanti, Matteo Bruno Lodi, Giorgio Fumera, Andrea Randazzo & Matteo Pastorino. (2021) Microwave Imaging of the Neck by Means of Artificial Neural Networks for Tumor Detection. IEEE Open Journal of Antennas and Propagation 2, pages 1044-1056.
Crossref
Nalee Kim, Jee Suk Chang, Yong Bae Kim & Jin Sung Kim. (2020) Atlas-based auto-segmentation for postoperative radiotherapy planning in endometrial and cervical cancers. Radiation Oncology 15:1.
Crossref
Charlotte L. Brouwer, Djamal Boukerroui, Jorge Oliveira, Padraig Looney, Roel J.H.M. Steenbakkers, Johannes A. Langendijk, Stefan Both & Mark J. Gooding. (2020) Assessment of manual adjustment performed in clinical practice following deep learning contouring for head and neck organs at risk in radiotherapy. Physics and Imaging in Radiation Oncology 16, pages 54-60.
Crossref
Xiangguo Zhang, Haihui Chen, Wen Chen, Brandon A. Dyer, Quan Chen, Stanley H. Benedict, Shyam Rao & Yi Rong. (2020) Technical note: Atlas‐based Auto‐segmentation of masticatory muscles for head and neck cancer radiotherapy. Journal of Applied Clinical Medical Physics 21:10, pages 233-240.
Crossref
Minsong Cao, Bradley Stiehl, Victoria Y. Yu, Ke Sheng, Amar U. Kishan, Robert K. Chin, Yingli Yang & Dan Ruan. (2020) Analysis of Geometric Performance and Dosimetric Impact of Using Automatic Contour Segmentation for Radiotherapy Planning. Frontiers in Oncology 10.
Crossref
Tomaž Vrtovec, Domen Močnik, Primož Strojan, Franjo Pernuš & Bulat Ibragimov. (2020) Auto‐segmentation of organs at risk for head and neck radiotherapy planning: From atlas‐based to deep learning methods. Medical Physics 47:9.
Crossref
Philip M.P. Poortmans, Silvia Takanen, Gustavo Nader Marta, Icro Meattini & Orit Kaidar-Person. (2020) Winter is over: The use of Artificial Intelligence to individualise radiation therapy for breast cancer. The Breast 49, pages 194-200.
Crossref
Lisanne V. van Dijk, Lisa Van den Bosch, Paul Aljabar, Devis Peressutti, Stefan Both, Roel. J.H.M. Steenbakkers, Johannes A. Langendijk, Mark J. Gooding & Charlotte L. Brouwer. (2020) Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring. Radiotherapy and Oncology 142, pages 115-123.
Crossref
Femke Vaassen, Colien Hazelaar, Ana Vaniqui, Mark Gooding, Brent van der Heyden, Richard Canters & Wouter van Elmpt. (2020) Evaluation of measures for assessing time-saving of automatic organ-at-risk segmentation in radiotherapy. Physics and Imaging in Radiation Oncology 13, pages 1-6.
Crossref
Olaf Wittenstein, Patrick Hiepe, Lars Henrik Sowa, Elias Karsten, Iris Fandrich & Juergen Dunst. (2019) Automatic image segmentation based on synthetic tissue model for delineating organs at risk in spinal metastasis treatment planningAuf einem Gewebemodell basierende automatische Bildsegmentierung zur Konturierung von Risikoorganen in der Behandlungsplanung für spinale Metastasierung. Strahlentherapie und Onkologie 195:12, pages 1094-1103.
Crossref
Bas Schipaanboord, Djamal Boukerroui, Devis Peressutti, Johan van Soest, Tim Lustberg, Andre Dekker, Wouter van Elmpt & Mark J. Gooding. (2019) An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning. IEEE Transactions on Medical Imaging 38:11, pages 2654-2664.
Crossref
Luca Boldrini, Jean-Emmanuel Bibault, Carlotta Masciocchi, Yanting Shen & Martin-Immanuel Bittner. (2019) Deep Learning: A Review for the Radiation Oncologist. Frontiers in Oncology 9.
Crossref
Wenhao Chen, Hui Zhang, Wenyi Zhang, Meng Su, Raoying Xie, Kejie Li, Xiaofang Xia & Changlin Zou. (2019) Development of a contouring guide for three different types of optic chiasm: A practical approach. Journal of Medical Imaging and Radiation Oncology 63:5, pages 657-664.
Crossref
Jinhan Zhu, Yimei Liu, Jun Zhang, Yixuan Wang & Lixin Chen. (2019) Preliminary Clinical Study of the Differences Between Interobserver Evaluation and Deep Convolutional Neural Network-Based Segmentation of Multiple Organs at Risk in CT Images of Lung Cancer. Frontiers in Oncology 9.
Crossref
Jolien Heukelom & Clifton David Fuller. (2019) Head and Neck Cancer Adaptive Radiation Therapy (ART): Conceptual Considerations for the Informed Clinician. Seminars in Radiation Oncology 29:3, pages 258-273.
Crossref
Anantharaman Ayyalusamy, Subramani Vellaiyan, Shanmuga Subramanian, Arivarasan Ilamurugu, Shyama Satpathy, Mohammed Nauman, Gowtham Katta & Aneesha Madineni. (2019) Auto-segmentation of head and neck organs at risk in radiotherapy and its dependence on anatomic similarity. Radiation Oncology Journal 37:2, pages 134-142.
Crossref
M. Kosmin, J. Ledsam, B. Romera-Paredes, R. Mendes, S. Moinuddin, D. de Souza, L. Gunn, C. Kelly, C.O. Hughes, A. Karthikesalingam, C. Nutting & R.A. Sharma. (2019) Rapid advances in auto-segmentation of organs at risk and target volumes in head and neck cancer. Radiotherapy and Oncology 135, pages 130-140.
Crossref
Christina Hague, William Beasley, Lynne Dixon, Simona Gaito, Kate Garcez, Andrew Green, Lip W. Lee, Massimo Maranzano, Andrew McPartlin, Hitesh Mistry, Damian Mullan, Andrew J. Sykes, David Thomson, Marcel Van Herk, Catharine M. West & Nick Slevin. (2019) Use of a novel atlas for muscles of mastication to reduce inter observer variability in head and neck radiotherapy contouring. Radiotherapy and Oncology 130, pages 56-61.
Crossref
Ian Boon, Tracy Au Yong & Cheng Boon. (2018) Assessing the Role of Artificial Intelligence (AI) in Clinical Oncology: Utility of Machine Learning in Radiotherapy Target Volume Delineation. Medicines 5:4, pages 131.
Crossref
Wei Zou, Lei Dong & Boon-Keng Kevin Teo. (2018) Current State of Image Guidance in Radiation Oncology: Implications for PTV Margin Expansion and Adaptive Therapy. Seminars in Radiation Oncology 28:3, pages 238-247.
Crossref
Tim Lustberg, Johan van Soest, Mark Gooding, Devis Peressutti, Paul Aljabar, Judith van der Stoep, Wouter van Elmpt & Andre Dekker. (2018) Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer. Radiotherapy and Oncology 126:2, pages 312-317.
Crossref
Zhaofeng Chen, Tianshuang Qiu, Li Huo, Lijuan Yu, Hongcheng Shi, Yanjun Zhang & Hongkai Wang. (2018) Deformable Head Atlas of Chinese Adults Incorporating Inter-Subject Anatomical Variations. IEEE Access 6, pages 51392-51400.
Crossref
Anet Aselmaa, Marcel van Herk, Yu Song, Richard H. M. Goossens & Anne Laprie. (2017) The influence of automation on tumor contouring. Cognition, Technology & Work 19:4, pages 795-808.
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.