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Background: To assess the value of tripartite magnetic resonance imaging model based on T2-weighted imaging (T2-WI), diffusion-weighted imaging (DWI) as well as dynamic contrast-enhanced imaging (DCE) for the diagnosis of prostatitis, prostatic hyperplasia and prostate cancer. Materials and Methods: A total of 100 patients with prostatic diseases were selected from our hospital from January 2020 to December 2022. All patients underwent T2-WI, DWI and DCE examination. Results: Among the 100 suspected patients, 40 were diagnosed with prostate cancer, 30 were prostatitis, and 30 were prostate hyperplasia. Apparent diffusion coefficient (ADC) value was reduced in prostate cancer patients compared to the prostatic hyperplasia as well as prostatitis groups (P<0.05). No difference was discovered in ADC value between the prostatic prostatic hyperplasia and prostatitis groups (P>0.05). Moreover, the diagnosis efficacy of the tripartite magnetic resonance imaging model was higher compared to those of prostate imaging reporting and data system version 2 (PI-RADS V2). Conclusion: The tripartite magnetic resonance imaging model based on T2-WI, DWI, as well as DCE has high diagnostic accuracy in prostatic diseases, with high sensitivity and low misdiagnosis rate, which might be valuable in clinical application. [ABSTRACT FROM AUTHOR]

Background: To explore the application of intravoxel incoherent motion (IVIM) parameters based on mono- and bi-exponential models for diagnosing breast cancer (BC). Materials and Methods: 43 patients underwent breast magnetic resonance (MR) scanned before operation and the images were transferred to AW Volume Share 5 post-processing workstation. The mono-exponential and bi-exponential model was used to measure the slow diffusion coefficient (DC) (D), fast DC (D*) and fraction of perfusion (f). And the association between different parameter values and BC grading was analyzed via Spearman's rank correlation coefficient. Results: The D mono value of 13 patients with benign breast diseases was higher than that of 30 patients with BC (4.04 ± 0.23 vs 2.59 ± 0.64,p<0.05) while there was no statistical significance on the value of D* mono, f mono, D bi, D* bi and f bi. Additionally, the parameter differences of D mono, D* mono, D bi and D* bi had statistical significance between the different BC grades. And the grades of BC had a negative correlation with D mono and D bi while were positively related to D* mono and D* bi. It was most closely related to D* bi than D bi. D mono value in ER-positive were higher than that in ER-negative group (3.09±0.37 vs 1.03±0.09, p=.0095). Conclusion: IVIM could be used to diagnose BC, predict histological grading and ER expression and provide valuable imaging for the clinical treatment and prognosis of BC patients. [ABSTRACT FROM AUTHOR]