Advanced Diffusion-weighted Imaging Modeling for Prostate Cancer Characterization: Correlation with Quantitative Histopathologic Tumor Tissue Composition-A Hypothesis-generating Study
| Autor: | Sara Lewis, Stefanie J. Hectors, George K. Haines, Christopher Song, Ashutosh K. Tewari, Bachir Taouli, Ardeshir R. Rastinehad, Sahar Semaan |
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| Rok vydání: | 2017 |
| Předmět: |
Male
Pathology medicine.medical_specialty medicine.medical_treatment 030218 nuclear medicine & medical imaging Correlation 03 medical and health sciences Prostate cancer 0302 clinical medicine Image Interpretation Computer-Assisted medicine Humans Radiology Nuclear Medicine and imaging Aged Neoplasm Staging Retrospective Studies Prostatectomy business.industry Prostatic Neoplasms Middle Aged medicine.disease Tumor tissue Diffusion Magnetic Resonance Imaging 030220 oncology & carcinogenesis Neoplasm staging Radiology Neoplasm Grading Tissue composition business Diffusion MRI |
| Zdroj: | Radiology. 286(3) |
| ISSN: | 1527-1315 |
| Popis: | Purpose To correlate quantitative diffusion-weighted imaging (DWI) parameters derived from conventional monoexponential DWI, stretched exponential DWI, diffusion kurtosis imaging (DKI), and diffusion-tensor imaging (DTI) with quantitative histopathologic tumor tissue composition in prostate cancer in a preliminary hypothesis-generating study. Materials and Methods This retrospective institutional review board-approved study included 24 patients with prostate cancer (mean age, 63 years) who underwent magnetic resonance (MR) imaging, including high-b-value DWI and DTI at 3.0 T, before prostatectomy. The following parameters were calculated in index tumors and nontumoral peripheral zone (PZ): apparent diffusion coefficient (ADC) obtained with monoexponential fit (ADC |
| Databáze: | OpenAIRE |
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