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Acta Oncologica Volume 58, 2019 - Issue 1
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ORIGINAL ARTICLES: RADIOTHERAPY AND RADIOBIOLOGY

Automatic segmentation of cardiac substructures from noncontrast CT images: accurate enough for dosimetric analysis?

Yangkun LuoDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; ;Department of Radiation Oncology, Sichuan Cancer Hospital, Chengdu, China; View further author information
,
Yujin XuDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; ;Department of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, China; View further author information
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Zhongxing LiaoDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; View further author information
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Daniel GomezDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; View further author information
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Jingqian WangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; View further author information
,
Wei JiangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; View further author information
,
Rongrong ZhouDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; ;Department of Radiation Oncology, Xiangya Hospital, Central South University, Changsha, ChinaView further author information
,
Ryan WilliamsonDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; View further author information
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Laurence E. CourtDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; View further author information
&
Jinzhong YangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Correspondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-9254-4501View further author information
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Pages 81-87 | Received 29 Jan 2018, Accepted 04 Sep 2018, Published online: 11 Oct 2018

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Pierre Loap, Nicolas Tkatchenko, Farid Goudjil, Madison Ribeiro, Brian Baron, Alain Fourquet & Youlia Kirova. (2021) Cardiac substructure exposure in breast radiotherapy: a comparison between intensity modulated proton therapy and volumetric modulated arc therapy. Acta Oncologica 60:8, pages 1038-1044.
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Articles from other publishers (16)

Robert N Finnegan, Alexandra Quinn, Jeremy Booth, Gregg Belous, Nicholas Hardcastle, Maegan Stewart, Brooke Griffiths, Susan Carroll & David I Thwaites. (2024) Cardiac substructure delineation in radiation therapy – A state‐of‐the‐art review . Journal of Medical Imaging and Radiation Oncology.
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Xinru Chen, Raymond P. Mumme, Kelsey L. Corrigan, Yuki Mukai-Sasaki, Efstratios Koutroumpakis, Nicolas L. Palaskas, Callistus M. Nguyen, Yao Zhao, Kai Huang, Cenji Yu, Ting Xu, Aji Daniel, Peter A. Balter, Xiaodong Zhang, Joshua S. Niedzielski, Sanjay S. Shete, Anita Deswal, Laurence E. Court, Zhongxing Liao & Jinzhong Yang. (2024) Deep learning–based automatic segmentation of cardiac substructures for lung cancers. Radiotherapy and Oncology 191, pages 110061.
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Gerard M. Walls, Valentina Giacometti, Aditya Apte, Maria Thor, Conor McCann, Gerard G. Hanna, John O'Connor, Joseph O. Deasy, Alan R. Hounsell, Karl T. Butterworth, Aidan J. Cole, Suneil Jain & Conor K. McGarry. (2022) Validation of an established deep learning auto-segmentation tool for cardiac substructures in 4D radiotherapy planning scans. Physics and Imaging in Radiation Oncology 23, pages 118-126.
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L. B. van den Oever, D. S. Spoor, A. P. G. Crijns, R. Vliegenthart, M. Oudkerk, R. N. J. Veldhuis, G. H. de Bock & P. M. A. van Ooijen. (2022) Automatic Cardiac Structure Contouring for Small Datasets with Cascaded Deep Learning Models. Journal of Medical Systems 46:5.
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Alireza Omidi, Elisabeth Weiss, John S. Wilson & Mihaela Rosu‐Bubulac. (2021) Quantitative assessment of intra‐ and inter‐modality deformable image registration of the heart, left ventricle, and thoracic aorta on longitudinal 4D‐CT and MR images. Journal of Applied Clinical Medical Physics 23:2.
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Pierre-Jean Lartaud, David Hallé, Arnaud Schleef, Riham Dessouky, Anna Sesilia Vlachomitrou, Philippe Douek, Jean-Michel Rouet, Olivier Nempont & Loïc Boussel. (2021) Spectral augmentation for heart chambers segmentation on conventional contrasted and unenhanced CT scans: an in-depth study. International Journal of Computer Assisted Radiology and Surgery 16:10, pages 1699-1709.
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Jae Won Jung, Matthew M. Mille, Bonnie Ky, Walter Kenworthy, Choonik Lee, Yeon Soo Yeom, Aaron Kwag, Walter Bosch, Shannon MacDonald, Oren Cahlon, Justin E. Bekelman & Choonsik Lee. (2021) Application of an automatic segmentation method for evaluating cardiac structure doses received by breast radiotherapy patients. Physics and Imaging in Radiation Oncology 19, pages 138-144.
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P. Loap, A. Beddok, K.I. Cao, F. Goudjil, A. Fourquet, R. Dendale & Y. Kirova. (2021) Clinical practice of breast cancer protontherapy: A single-centre experience from selection to treatment. Cancer/Radiothérapie 25:4, pages 358-365.
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Mark Farrugia, Han Yu, Anurag K Singh & Harish Malhotra. (2021) Autosegmentation of cardiac substructures in respiratory-gated, non-contrasted computed tomography images. World Journal of Clinical Oncology 12:2, pages 95-102.
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Robert Finnegan, Ebbe Laugaard Lorenzen, Jason Dowling, David Thwaites, Geoff Delaney, Carsten Brink & Lois Holloway. (2021) Validation of a new open-source method for automatic delineation and dose assessment of the heart and LADCA in breast radiotherapy with simultaneous uncertainty estimation. Physics in Medicine & Biology 66:3, pages 035014.
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Eliot Nicolas, Nadjoua Khalifa, Cyril Laporte, Sabrina Bouhroum & Youlia Kirova. (2021) Safety Margins for the Delineation of the Left Anterior Descending Artery in Patients Treated for Breast Cancer. International Journal of Radiation Oncology*Biology*Physics 109:1, pages 267-272.
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P. Loap, N. Tkatchenko & Y. Kirova. (2020) Evaluation of a delineation software for cardiac atlas-based autosegmentation: An example of the use of artificial intelligence in modern radiotherapy. Cancer/Radiothérapie 24:8, pages 826-833.
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Jinzhong Yang, Harini Veeraraghavan, Wouter van Elmpt, Andre Dekker, Mark Gooding & Greg Sharp. (2020) CT images with expert manual contours of thoracic cancer for benchmarking auto‐segmentation accuracy. Medical Physics 47:7, pages 3250-3255.
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Rabia Haq, Alexandra Hotca, Aditya Apte, Andreas Rimner, Joseph O. Deasy & Maria Thor. (2020) Cardio-pulmonary substructure segmentation of radiotherapy computed tomography images using convolutional neural networks for clinical outcomes analysis. Physics and Imaging in Radiation Oncology 14, pages 61-66.
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Robert Finnegan, Jason Dowling, Eng-Siew Koh, Simon Tang, James Otton, Geoff Delaney, Vikneswary Batumalai, Carol Luo, Pramukh Atluri, Athiththa Satchithanandha, David Thwaites & Lois Holloway. (2019) Feasibility of multi-atlas cardiac segmentation from thoracic planning CT in a probabilistic framework. Physics in Medicine & Biology 64:8, pages 085006.
Crossref
Rabia Haq, Alexandra Hotca, Aditya Apte, Andreas Rimner, Joseph O. Deasy & Maria Thor. 2019. Artificial Intelligence in Radiation Therapy. Artificial Intelligence in Radiation Therapy 162 169 .

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