A Multicompartmental Diffusion Model for Improved Assessment of Whole-Body Diffusion-weighted Imaging Data and Evaluation of Prostate Cancer Bone Metastases
| Autor: | Christopher C. Conlin, Christine H. Feng, Leonardino A. Digma, Ana E. Rodríguez-Soto, Joshua M. Kuperman, Rebecca Rakow-Penner, David S. Karow, Nathan S. White, Tyler M. Seibert, Michael E. Hahn, Anders M. Dale |
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| Rok vydání: | 2023 |
| Předmět: |
Male
Urologic Diseases Aging Technical Development Prostate Cancer Prostatic Neoplasms Bone Neoplasms Bayes Theorem Whole-Body MRI Magnetic Resonance Imaging Diffusion Magnetic Resonance Imaging Diffusion-weighted Imaging Oncology Bone Metastases Restriction Spectrum Imaging Humans Biomedical Imaging Radiology Nuclear Medicine and imaging Prospective Studies Diffusion Signal Model Aged Cancer |
| Zdroj: | Radiol Imaging Cancer Radiology. Imaging cancer, vol 5, iss 1 |
| ISSN: | 2638-616X |
| DOI: | 10.1148/rycan.210115 |
| Popis: | 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 to four tissue compartments were fit to DWI data from whole-body scans to determine optimal compartmental diffusion coefficients. Bayesian information criterion (BIC) and model-fitting residuals were calculated to quantify model complexity and goodness of fit. Diffusion coefficients for the optimal model (having lowest BIC) were used to compute compartmental signal-contribution maps. The signal intensity ratio (SIR) of bone lesions to normal-appearing bone was measured on these signal-contribution maps and on conventional DWI scans and compared using paired t tests (α = .05). Two-sample t tests (α = .05) were used to compare compartmental signal fractions between lesions and normal-appearing bone. RESULTS: Lowest BIC was observed from the four-compartment model, with optimal compartmental diffusion coefficients of 0, 1.1 × 10(−3), 2.8 × 10(-3), and >3.0 ×10(-2) mm(2)/sec. Fitting residuals from this model were significantly lower than from conventional apparent diffusion coefficient mapping (P < .001). Bone lesion SIR was significantly higher on signal-contribution maps of model compartments 1 and 2 than on conventional DWI scans (P < .008). The fraction of signal from compartments 2, 3, and 4 was also significantly different between metastatic bone lesions and normal-appearing bone tissue (P ≤ .02). CONCLUSION: The four-compartment model best described whole-body diffusion properties. Compartmental signal contributions from this model can be used to examine prostate cancer bone involvement. Keywords: Whole-Body MRI, Diffusion-weighted Imaging, Restriction Spectrum Imaging, Diffusion Signal Model, Bone Metastases, Prostate Cancer Clinical trial registration no. NCT03440554 Supplemental material is available for this article. © RSNA, 2023 See also commentary by Margolis in this issue. |
| Databáze: | OpenAIRE |
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