Evaluation of different mathematical models and different b-value ranges of diffusion-weighted imaging in peripheral zone prostate cancer detection using b-value up to 4500 s/mm2
| Autor: | Basen Li, Liang Wang, Vivek Kumar Sah, Caohui Duan, Xiangde Min, Nabin Chaudhary, Zan Ke, Yuping Chen, Daniel Margolis, Peipei Zhang, Zhaoyan Feng |
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| Rok vydání: | 2017 |
| Předmět: |
Male
Pathology Biopsy lcsh:Medicine Signal-To-Noise Ratio Diagnostic Radiology 030218 nuclear medicine & medical imaging Mathematical and Statistical Techniques 0302 clinical medicine Adenocarcinomas Medicine and Health Sciences Medicine lcsh:Science Aged 80 and over Brain Mapping Multidisciplinary medicine.diagnostic_test Mathematical Models Radiology and Imaging Prostate Cancer Prostate Diseases Prostate Area under the curve Middle Aged Magnetic Resonance Imaging Prostate-specific antigen Oncology Area Under Curve Kurtosis Anatomy Research Article Image-Guided Biopsy medicine.medical_specialty Coefficient of determination Imaging Techniques Brain Morphometry Urology Neuroimaging Surgical and Invasive Medical Procedures Research and Analysis Methods Carcinomas Sensitivity and Specificity 03 medical and health sciences Exocrine Glands Diagnostic Medicine Cancer Detection and Diagnosis Humans Aged Receiver operating characteristic Diffusion Weighted Imaging business.industry lcsh:R Biology and Life Sciences Cancers and Neoplasms Prostatic Neoplasms Correction Magnetic resonance imaging Models Theoretical Prostate-Specific Antigen Genitourinary Tract Tumors ROC Curve Signal-to-noise ratio (imaging) lcsh:Q Prostate Gland business Nuclear medicine 030217 neurology & neurosurgery Neuroscience Diffusion MRI |
| Zdroj: | PLoS ONE PLoS ONE, Vol 12, Iss 2, p e0172127 (2017) |
| ISSN: | 1932-6203 |
| DOI: | 10.1371/journal.pone.0172127 |
| Popis: | Objectives To evaluate the diagnostic performance of different mathematical models and different b-value ranges of diffusion-weighted imaging (DWI) in peripheral zone prostate cancer (PZ PCa) detection. Methods Fifty-six patients with histologically proven PZ PCa who underwent DWI-magnetic resonance imaging (MRI) using 21 b-values (0–4500 s/mm2) were included. The mean signal intensities of the regions of interest (ROIs) placed in benign PZs and cancerous tissues on DWI images were fitted using mono-exponential, bi-exponential, stretched-exponential, and kurtosis models. The b-values were divided into four ranges: 0–1000, 0–2000, 0–3200, and 0–4500 s/mm2, grouped as A, B, C, and D, respectively. ADC, , D*, f, DDC, α, Dapp, and Kapp were estimated for each group. The adjusted coefficient of determination (R2) was calculated to measure goodness-of-fit. Receiver operating characteristic curve analysis was performed to evaluate the diagnostic performance of the parameters. Results All parameters except D* showed significant differences between cancerous tissues and benign PZs in each group. The area under the curve values (AUCs) of ADC were comparable in groups C and D (p = 0.980) and were significantly higher than those in groups A and B (p< 0.05 for all). The AUCs of ADC and Kapp in groups B and C were similar (p = 0.07 and p = 0.954), and were significantly higher than the other parameters (p< 0.001 for all). The AUCs of ADC in group D was slightly higher than Kapp (p = 0.002), and both were significantly higher than the other parameters (p< 0.001 for all). Conclusions ADC derived from conventional mono-exponential high b-value (3200 s/mm2) models is an optimal parameter for PZ PCa detection. |
| Databáze: | OpenAIRE |
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