A Pilot Study on Patient-specific Computational Forecasting of Prostate Cancer Growth during Active Surveillance Using an Imaging-informed Biomechanistic Model.
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| Title: | A Pilot Study on Patient-specific Computational Forecasting of Prostate Cancer Growth during Active Surveillance Using an Imaging-informed Biomechanistic Model. |
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| Authors: | Lorenzo G; Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy.; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas., Heiselman JS; Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee.; Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, New York., Liss MA; Department of Urology, The University of Texas Health Science Center at San Antonio, San Antonio, Texas., Miga MI; Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee.; Vanderbilt Institute for Surgery and Engineering, Vanderbilt University, Nashville, Tennessee.; Department of Neurological Surgery, Radiology, and Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee., Gomez H; School of Mechanical Engineering, Weldon School of Biomedical Engineering, and Purdue Institute for Cancer Research, Purdue University, West Lafayette, Indiana., Yankeelov TE; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas.; Livestrong Cancer Institutes and Departments of Biomedical Engineering, Diagnostic Medicine, and Oncology, The University of Texas at Austin, Austin, Texas.; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas., Reali A; Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy., Hughes TJR; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas. |
| Source: | Cancer research communications [Cancer Res Commun] 2024 Mar 01; Vol. 4 (3), pp. 617-633. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: American Association for Cancer Research Country of Publication: United States NLM ID: 9918281580506676 Publication Model: Print Cited Medium: Internet ISSN: 2767-9764 (Electronic) Linking ISSN: 27679764 NLM ISO Abbreviation: Cancer Res Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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