Comparison of the quality of prostate images from different diffusion-weighted imaging sequences: Single-shot echo-planar, reduced field-of-view, readout-segmented multi-shot.

IF 1.1 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Journal of Clinical Imaging Science Pub Date : 2025-09-29 eCollection Date: 2025-01-01 DOI:10.25259/JCIS_64_2025
Li Xu, Along Qiao, Fei Li, Xiaoyan Zhang, Rui Wu, Wenya Liu, Bo Jiang, Minghua Sun
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引用次数: 0

Abstract

Objectives: The objectives of the study are to compare the prostate image quality (IQ) obtained with single-shot echo-planar diffusion-weighted imaging (ss-DWI), reduced field-of-view diffusion-weighted imaging (rf-DWI), and readout-segmented multi-shot diffusion-weighted imaging (rs-DWI), along with their diagnostic efficacy for clinically significant prostate cancer (csPCa), to optimize prostate magnetic resonance diffusion-weighted imaging sequences.

Material and methods: We have analyzed prostate images from 72 patients who underwent ss-DWI, rs-DWI, and rf-DWI magnetic resonance imaging (MRI) scans from March 2023 to September 2024. Two radiologists qualitatively evaluated the IQ of three diffusion-weighted imaging (DWI) sequences and corresponding apparent diffusion coefficient (ADC) images as well as Prostate Imaging Reporting and Data System Version 2.1 (PI-RADS v2.1) category of prostate nodules and measured the anterior-posterior diameter and right-left (RL) diameters of the prostate on both types of images and ADC values of prostate nodules. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated. Qualitative and quantitative differences across DWI techniques were statistically compared.

Results: The rf-DWI images demonstrated optimal clarity, minimal distortion/artifacts, and the highest CNR and lowest SNR. The RL diameter of the prostate measured on T2-weighted images was larger than those on ss-DWI images, and the RL diameter measured on ss-DWI images was smaller than those measured on rf-DWI images (P < 0.05). The rf-DWI-based PI-RADS v2.1 categorization and ADC values showed higher diagnostic accuracy for csPCa versus ss-DWI/rs-DWI, with optimal ADC cutoffs of 0.958 × 103 mm2/s (transition zone) and 0.769 × 103 mm2/s (peripheral zone).

Conclusion: Compared to ss-DWI and rs-DWI, the rf-DWI sequence demonstrates optimal IQ and quantitative parameters with the optimum diagnostic performance for csPCa, making it the best choice for prostate scans.

Abstract Image

Abstract Image

Abstract Image

不同弥散加权成像序列前列腺图像质量的比较:单次回波平面、缩小视场、读出分段多次。
目的:比较单次回波平面弥散加权成像(ss-DWI)、缩小视场弥散加权成像(rf-DWI)和读数分段多次弥散加权成像(rs-DWI)所获得的前列腺图像质量(IQ)及其对临床显著性前列腺癌(csPCa)的诊断效果,以优化前列腺磁共振弥散加权成像序列。材料和方法:我们分析了2023年3月至2024年9月期间接受ss-DWI、rs-DWI和rf-DWI磁共振成像(MRI)扫描的72例患者的前列腺图像。两名放射科医师定性评价三种弥散加权成像(DWI)序列和相应的表观弥散系数(ADC)图像以及前列腺成像报告和数据系统2.1版本(PI-RADS v2.1)类别前列腺结节的IQ,并测量两种类型图像上前列腺前后直径和左右直径以及前列腺结节的ADC值。计算信号的信噪比(SNR)和噪声对比比(CNR)。对不同DWI技术的定性和定量差异进行统计学比较。结果:rf-DWI图像具有最佳的清晰度,最小的失真/伪影,最高的CNR和最低的信噪比。t2加权图像上前列腺RL直径大于ss-DWI图像,ss-DWI图像上前列腺RL直径小于rf-DWI图像(P < 0.05)。与ss-DWI/rs-DWI相比,基于rf- dwi的PI-RADS v2.1分类和ADC值对csPCa的诊断准确率更高,最佳ADC截止值分别为0.958 × 103 mm2/s(过渡区)和0.769 × 103 mm2/s(外围区)。结论:与ss-DWI和rs-DWI相比,rf-DWI序列具有最佳的IQ和定量参数,对csPCa具有最佳的诊断性能,是前列腺扫描的最佳选择。
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来源期刊
Journal of Clinical Imaging Science
Journal of Clinical Imaging Science RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
2.00
自引率
0.00%
发文量
65
期刊介绍: The Journal of Clinical Imaging Science (JCIS) is an open access peer-reviewed journal committed to publishing high-quality articles in the field of Imaging Science. The journal aims to present Imaging Science and relevant clinical information in an understandable and useful format. The journal is owned and published by the Scientific Scholar. Audience Our audience includes Radiologists, Researchers, Clinicians, medical professionals and students. Review process JCIS has a highly rigorous peer-review process that makes sure that manuscripts are scientifically accurate, relevant, novel and important. Authors disclose all conflicts, affiliations and financial associations such that the published content is not biased.
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