Assessment of Prostate MR Image and Predictive Value for Benign Prostate Disease among Different DWI Sequences

Sep 30, 2026

Early prostate cancer detection improves patient survival when imaging quality is sufficiently high. This study compared three prostate diffusion-weighted imaging approaches—conventional ss-EPI DWI, high-resolution ZOOMit DWI, and RESOLVE DWI with reduced susceptibility artifacts—to optimize prostate MRI for distinguishing malignant from benign disease. Fifty-one patients underwent 3.0T MRI with multiple sequences, using radiologist scoring and objective agreement metrics, followed by ROC analysis. Results showed ZOOMit produced the best image clarity and the highest AUC for prostate cancer identification.

LanguageEnglish

CategoryHealthcare

FormatPDF

Pages8

Reading Time20 min

AccessFree to download

Abstract

Background

Objective

Methods

Results

Conclusion

Introduction

[1573-4056/25](1573-4056/25 Send Orders for Reprints to reprints@benthamscience.net)[ Send Orders for Reprints to](1573-4056/25 Send Orders for Reprints to reprints@benthamscience.net)[ ](1573-4056/25 Send Orders for Reprints to reprints@benthamscience.net)[reprints@benthamscience.net](1573-4056/25 Send Orders for Reprints to reprints@benthamscience.net) 1 Current Medical Imaging Content list available at: [https://benthamscience.com/journals/cmir](https://benthamscience.com/journals/cmir) RESEARCH ARTICLE Assessment of Prostate MR Image and Predictive Value for Benign Prostate Disease among Different DWI Sequences Hanli Dan1,\#, Lu Yang1,2,\#, Yuchuan Tan1, Yipeng Zhang1, Yong Tan1, Jing Zhang1, Min Li1, Meng Lin1 and Jiuquan Zhang1,* 1Department of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, 400030, China 2Department of Radiology, Key Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, Bioengineering College of Chongqing University, Chongqing, 400030, China Abstract: Background: Early diagnosis of prostate cancer can improve the survival rate of patients on the premise of high-quality images. The prerequisite for early diagnosis is high-quality images. ZOOMit is a method for high-resolution, zoomed FOV imaging, allowing diffusion-weighted images with high contrast and resolution in short acquisition times. RESOLVE DWI is an advanced MRI technique developed to obtain high-resolution diffusionweighted images with reduced susceptibility-related artifacts. Objective: This study aimed to compare the image quality of conventional single-shot Echo-planar Imaging (ss-EPI) Diffusion-weighted Imaging (DWI), zoomed FOV imaging (ZOOMit) DWI, and readout segmentation of long variable echo-trains (RESOLVE) DWI sequences for prostate imaging, and optimize the strategy to obtain high-quality Magnetic Resonance Imaging (MRI) in order to discriminate malignant and benign prostate diseases. Methods: Fifty-one patients were enrolled, including 31 with prostate cancer, 11 with prostate benign disease, and 9 with bladder cancer. Patients underwent MRI scans using T2-weighted (T2W), ss-EPI DWI, ZOOMit DWI, and RESOLVE DWI (b = 0, 50, 1400 s/mm2) sequences using a 3.0T MRI scanner. Subjective scores of image quality were evaluated by two independent radiologists. Differences in the subjective scores and objective parameters among the three sequences were compared. The agreement and consistency between the findings ofthe two raters were evaluated with Kappa or Intra-class Correlation Coefficient (ICC). Receiver Operating Characteristic (ROC) curves were used to distinguish malignant and benign prostate disease. Results: The agreement of subjective scores of 51 patients was high or moderate between the two radiologists (kappa: 0.529–0.880) . ZOOMit displayed the highest clarity and the lowest distortion and artifacts compared to ss-EPI and RESOLVE. The two radiologic technicians obtained moderate or high consistency of objective measurement (ICC: 0.527–0.924). In the ROC analysis, ADCmean and Prostate Imaging Reporting and Data System (PI-RADS) scores for three sequences were comparable in differentiating prostate cancer from benign prostate disease (all p>0.05), in which ZOOMit indicated the highest Area Under the Curve (AUC) (0.930 and 0.790, respectively) . Conclusion: Compared to the other two sequences, ZOOMit can be deemed preferable to improve prostate MRI diffusion imaging as it has exhibited the highest AUC in identifying prostate cancer. Keywords: Prostate, Magnetic resonance imaging, Diffusion-weighted imaging, Value, Intra-class correlation coefficient, Receiver operating characteristic. | Article History | Received: May 12, 2024 | Revised: October 15, 2024 | Accepted: November 06, 2024 | | --- | --- | --- | --- | DOI: 10.2174/011

FAQs

What was the main purpose of this study?

To compare image quality among ss-EPI DWI, ZOOMit DWI, and RESOLVE DWI sequences for prostate imaging, and to optimize MRI strategy to discriminate malignant and benign prostate diseases.

How were the imaging sequences evaluated in the study?

Fifty-one patients underwent 3.0T MRI with T2W and DWI sequences, and two independent radiologists assessed subjective image quality scores. Objective agreement was evaluated using kappa and ICC, and ROC curves were used to assess diagnostic discrimination.

Which DWI sequence performed best for identifying prostate cancer?

ZOOMit showed the highest image clarity with the lowest distortion and artifacts, and it also achieved the highest ROC Area Under the Curve (AUC) in differentiating prostate cancer from benign prostate disease.

Sep 30, 2026

Uploaded by วิน