What type of study is this?

This is a Quantitative Study study.

September 17, 2025

Time-Dependent Diffusion MRI in the diagnosis of Prostate Cancer

Key Points

ADC17Hz demonstrated the highest diagnostic ability for identifying prostate cancer in both transitional and peripheral zones.
All OGSE and PGSE parameters were significantly correlated with Gleason scores, indicating their diagnostic relevance.
The analysis involved comparing imaging and pathological features of prostate cancer patients to assess parameter efficacy.
OGSE's advantages over PGSE suggest its potential for enhancing prostate cancer diagnoses, particularly with ADC17Hz.

Abstract

Motivation: TDD MRI could obtain microstructure information of the lesion by using a shorter diffusion time. Goal(s): To investigate the effectiveness of TDD MRI parameters in the diagnosis of prostate cancer and their correlation with Gleason score. Approach: The imaging and pathological features of PCa patients were analyzed. The differences in OGSE and PGSE parameters between PCa and normal tissues, the diagnostic efficacy of each parameter, and their correlation with GS were evaluated. Results: ADC17Hz showed the best diagnostic ability in both TZ and PZ. All parameters of OGSE and PGSE were significantly correlated with GS. Impact: OGSE has more advantages than PGSE in the diagnosis of prostate cancer, with ADC17Hz performing the best. All parameters of OGSE and PGSE were correlated with GS.

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Cite This Study

Zhou et al. (Tue,) studied this question.

synapsesocial.com/papers/68d45b1b31b076d99fa5d49b https://doi.org/https://doi.org/10.58530/2025/0895

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