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使用脂肪抑制三维T2加权磁共振成像增强尿道识别以进行放射治疗计划

Enhanced urethral identification for radiotherapy planning using fat-suppressed 3D T2-weighted magnetic resonance imaging.

作者信息

Kato Yutaka, Nakaya Takayoshi, Okudaira Kuniyasu, Noguchi Yumiko, Kawamura Mariko, Ishihara Shunichi, Naganawa Shinji

机构信息

Department of Radiological Technology, Nagoya University Hospital, 65 Tsurumai-cho, Shouwa-ku, Nagoya, Aichi, 466-8560, Japan.

Department of Radiology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Shouwa-ku, Nagoya, Aichi, 466-8560, Japan.

出版信息

Radiol Phys Technol. 2025 Jun;18(2):589-596. doi: 10.1007/s12194-025-00903-4. Epub 2025 Apr 1.

Abstract

This study proposes a fat-suppressed three-dimensional T2-weighted (3D-T2W) sequence on magnetic resonance imaging to enhance prostatic urethral identification in radiotherapy planning. Conventional 3D-T2W and the proposed sequence were obtained to evaluate prostatic urethral identification in 13 male patients. The proposed sequence demonstrated significantly higher Dice similarity coefficients compared to conventional 3D-T2W sequence (p = 0.001) and superior contrast-to-noise ratios. The proposed sequence also achieved significantly better visibility scores in visual assessment (p = 0.001). The proposed technique uses fat suppression in a standard 3D-T2W sequence, making it a simple and clinically applicable method that does not require specialized sequence designs. Our findings suggest that this approach could be a valuable noninvasive method for enhancing prostatic urethral identification, although further research with larger sample sizes and optimization of acquisition parameters is needed.

摘要

本研究提出了一种磁共振成像的脂肪抑制三维T2加权(3D-T2W)序列,以在放射治疗计划中增强前列腺尿道的识别。获取了传统的3D-T2W序列和所提出的序列,以评估13例男性患者的前列腺尿道识别情况。与传统的3D-T2W序列相比,所提出的序列显示出显著更高的骰子相似系数(p = 0.001)和更高的对比噪声比。所提出的序列在视觉评估中也获得了显著更好的可见性评分(p = 0.001)。所提出的技术在标准的3D-T2W序列中使用脂肪抑制,使其成为一种简单且临床适用的方法,无需专门的序列设计。我们的研究结果表明,尽管需要进行更大样本量的进一步研究和采集参数的优化,但这种方法可能是一种用于增强前列腺尿道识别的有价值的非侵入性方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/febf/12103322/9f59b63bdb93/12194_2025_903_Fig1_HTML.jpg

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