Finding the Pieces to Treat the Whole: Using Radiomics to Identify Tumor Habitats

医学 无线电技术 栖息地 计算机科学 计算生物学 地理 人工智能 生态学 生物
作者
Hersh Sagreiya
出处
期刊:Radiology [Radiological Society of North America]
卷期号:6 (2)
标识
DOI:10.1148/ryai.230547
摘要

HomeRadiology: Artificial IntelligenceVol. 6, No. 2 PreviousNext CommentaryFinding the Pieces to Treat the Whole: Using Radiomics to Identify Tumor HabitatsHersh Sagreiya Hersh Sagreiya Author AffiliationsFrom the Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104-4283.Address correspondence to the author (email: [email protected]).Hersh Sagreiya Published Online:Feb 28 2024https://doi.org/10.1148/ryai.230547See also the article by Prior et al in this issue.MoreSectionsFull textPDF ToolsAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookXLinked In References1. Marusyk A, Janiszewska M, Polyak K. Intratumor Heterogeneity: The Rosetta Stone of Therapy Resistance. Cancer Cell 2020;37(4):471–484. Crossref, Medline, Google Scholar2. Sala E, Mema E, Himoto Y, et al. Unravelling tumour heterogeneity using next-generation imaging: radiomics, radiogenomics, and habitat imaging. Clin Radiol 2017;72(1):3–10. Crossref, Medline, Google Scholar3. Jha AK, Mithun S, Jaiswar V, et al. Repeatability and reproducibility study of radiomic features on a phantom and human cohort. Sci Rep 2021;11(1):2055. Crossref, Medline, Google Scholar4. Gitto S, Corino VDA, Annovazzi A, et al. 3D vs. 2D MRI radiomics in skeletal Ewing sarcoma: Feature reproducibility and preliminary machine learning analysis on neoadjuvant chemotherapy response prediction. Front Oncol 2022;12:1016123. Crossref, Medline, Google Scholar5. Prior O, Macarro C, Navarro V, et al. Identification of precise 3D CT radiomics for habitat computation by machine learning in cancer. Radiol Artif Intell 2024;6(2):e230118. Link, Google Scholar6. Bernatowicz K, Grussu F, Ligero M, Garcia A, Delgado E, Perez-Lopez R. Robust imaging habitat computation using voxel-wise radiomics features. Sci Rep 2021;11(1):20133. Crossref, Medline, Google Scholar7. Traverso A, Kazmierski M, Welch ML, et al. Sensitivity of radiomic features to inter-observer variability and image pre-processing in Apparent Diffusion Coefficient (ADC) maps of cervix cancer patients. Radiother Oncol 2020;143:88–94. Crossref, Medline, Google Scholar8. Zhang J, Lam SK, Teng X, et al. Radiomic feature repeatability and its impact on prognostic model generalizability: A multi-institutional study on nasopharyngeal carcinoma patients. Radiother Oncol 2023;183:109578. Crossref, Medline, Google Scholar9. Traverso A, Wee L, Dekker A, Gillies R. Repeatability and Reproducibility of Radiomic Features: A Systematic Review. Int J Radiat Oncol Biol Phys 2018;102(4):1143–1158. Crossref, Medline, Google ScholarArticle HistoryReceived: Nov 26 2023Revision requested: Dec 1 2023Revision received: Dec 14 2023Accepted: Dec 18 2023Published online: Feb 28 2024 FiguresReferencesRelatedDetailsAccompanying This ArticleIdentification of Precise 3D CT Radiomics for Habitat Computation by Machine Learning in CancerJan 31 2024Radiology: Artificial IntelligenceRecommended Articles Identification of Precise 3D CT Radiomics for Habitat Computation by Machine Learning in CancerRadiology: Artificial Intelligence2024Volume: 6Issue: 2Validation of A Method to Compensate Multicenter Effects Affecting CT RadiomicsRadiology2019Volume: 291Issue: 1pp. 53-59Imaging Biomarkers to Assess Response to Immune Checkpoint Inhibitors in Solid Tumors to Tailor TherapyRadiology2021Volume: 299Issue: 1pp. 120-121Deep Learning Demonstrates Potential for Lung Cancer Detection in Chest RadiographyRadiology2020Volume: 297Issue: 3pp. 697-698Radiomics: A Path Forward to Predict Immunotherapy Response in Non–Small Cell Lung CancerRadiology: Artificial Intelligence2020Volume: 2Issue: 5See More RSNA Education Exhibits What's New in Pathogenesis, Imaging Findings, Prevention, and Management of Human Papillomavirus (HPV)-Related Malignancies? 2022 UpdateDigital Posters2022Where Is The Primary Tumor? Imaging Approach To Cervical Lymph Node Metastases From An Unknown Primary TumorDigital Posters2021Radiogenomics In Lung Cancer: New Approaches Toward Diagnosis And Treatment In The Precision Medicine EraDigital Posters2021 RSNA Case Collection Small cell lung carcinomaRSNA Case Collection2020Pulmonary HamartomaRSNA Case Collection2021Ewing's sarcomaRSNA Case Collection2020 Vol. 6, No. 2 Metrics Downloaded 130 times Altmetric Score PDF download

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