Exploring radiomic and topological features to evaluate treatment response in rectal cancer.
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| Title: | Exploring radiomic and topological features to evaluate treatment response in rectal cancer. |
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| Authors: | Zhang H; Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America.; Medical Artificial Intelligence and Automation Laboratory, The University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America., Liu J; Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America.; Medical Artificial Intelligence and Automation Laboratory, The University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America., Rajamohan N; Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America., Sanford NN; Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America., Khatri G; Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America., Rodriguez AP; Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America., Rajaram S; Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America., Jiang S; Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America.; Medical Artificial Intelligence and Automation Laboratory, The University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America., Timmerman R; Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America., Aguilera T; Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America., Peng H; Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America.; Medical Artificial Intelligence and Automation Laboratory, The University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America. |
| Source: | Physics in medicine and biology [Phys Med Biol] 2025 Oct 22; Vol. 70 (21). Date of Electronic Publication: 2025 Oct 22. |
| Publication Type: | Clinical Trial, Phase II; Journal Article; Multicenter Study; Randomized Controlled Trial |
| Journal Info: | Publisher: IOP Publishing Country of Publication: England NLM ID: 0401220 Publication Model: Electronic Cited Medium: Internet ISSN: 1361-6560 (Electronic) Linking ISSN: 00319155 NLM ISO Abbreviation: Phys Med Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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