Peer-Reviewed Publication
Radiol Imaging Cancer2023;5(1):e210115.January 1, 2023Journal Article

A Multicompartmental Diffusion Model for Improved Assessment of Whole-Body Diffusion-weighted Imaging Data and Evaluation of Prostate Cancer Bone Metastases.

Christopher C Conlin1, Christine H Feng1, Leonardino A Digma1, Ana E Rodríguez-Soto1, Joshua M Kuperman1, Rebecca Rakow-Penner1, David S Karow1, Nathan S White1, Tyler M Seibert1, Michael E Hahn1, Anders M Dale1
1From the Departments of Radiology (C.C.C., A.E.R.S., J.M.K., R.R.P., D.S.K., T.M.S., M.E.H., A.M.D.), Radiation Medicine and Applied Sciences (C.H.F., L.A.D., T.M.S.), and Neurosciences (A.M.D.), UC San Diego School of Medicine, 9452 Medical Center Dr, 4W 503, La Jolla, CA 92037; Human Longevity, Inc, San Diego, Calif (D.S.K.); CorTechs Labs, Inc, San Diego, Calif (N.S.W.); Department of Bioengineering, UC San Diego Jacobs School of Engineering, La Jolla, Calif (T.M.S.); and Halıcıoğlu Data Science Institute, UC San Diego, La Jolla, Calif (A.M.D.).

Abstract

Purpose To develop a multicompartmental signal model for whole-body diffusion-weighted imaging (DWI) and apply it to study the diffusion properties of normal tissue and metastatic prostate cancer bone lesions in vivo. Materials and Methods This prospective study (ClinicalTrials.gov: NCT03440554) included 139 men with prostate cancer (mean age, 70 years ± 9 [SD]). Multicompartmental models with two…

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