Assessing the aggressiveness of prostate cancer using ADC and relaxation maps from synthetic MRI.

IF 1.1 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Sabri Sirolu, Mustafa Ege Seker, Deniz Alis, Batuhan Guroz, Cavit Kerem Kayhan, Fatma Tokat, Omer Burak Argun, Ilkay Oksuz, Ercan Karaarslan
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引用次数: 0

Abstract

Background: Emerging evidence suggests multiparametric prostate MRI's role in evaluating prostate cancer (PCa) aggressiveness.

Purpose: To evaluate the utility of quantitative sequences in prostate MRI for assessing peripheral zone PCa aggressiveness, focusing on added value of relaxation maps to ADC.

Material and methods: In total, 64 men undergoing preoperative bi-parametric prostate MRI with synthetic sequences were retrospectively enrolled. Radiologists delineated lesions on ADC maps and synthetic MRI, matched with digitized whole-mount specimens. PCa was graded as low, intermediate, or high based on Gleason grade. Statistical analyses assessed differences in T1, T2, PD, and ADC values across grades. For significant variables, AUC curves were generated. A logistic regression model evaluated the added diagnostic value of relaxation maps to ADC.

Results: Of the 95 PCa foci, 11 were low-grade, 45 intermediate-grade, and 39 high-grade. T1 (P = 0.4) and PD (P = 0.3) showed no significant differences, while T2 and ADC differed significantly (P < 0.001). Median T2 values were 98 ms (low-grade), 81 ms (intermediate), and 73 ms (high-grade), and median ADC values were 1006 mm²/s, 836 mm²/s, and 721 mm²/s, respectively. ADC yielded AUCs of 0.888 (95% CI=0.794-0.963; P < 0.0001) for low- versus intermediate-to-high-grade PCa, and 0.825 (95% CI=0.724-0.901; P < 0.0001) for low-to-intermediate versus high-grade. T2 AUCs were 0.770 (95% CI=0.605-0.908; P = 0.021) and 0.755 (95% CI=0.648-0.864; P = 0.0051), respectively. A logistic regression model combining T2 and ADC showed no significant improvement over ADC alone in differentiating low- versus intermediate-to-high-grade and low-to-intermediate versus high-grade PCa (P > 0.05).

Conclusion: T1 and PD maps from synthetic MRI showed limited utility in grading PCa. Although T2 values were effective, ADC values were superior in assessing PCa aggressiveness. The addition of T2 to ADC did not significantly improve diagnostic performance.

利用合成MRI的ADC和松弛图评估前列腺癌的侵袭性。
背景:越来越多的证据表明多参数前列腺MRI在评估前列腺癌(PCa)侵袭性方面的作用。目的:评估定量序列在前列腺MRI中评估外周区前列腺癌侵袭性的效用,重点关注ADC弛豫图的附加价值。材料和方法:回顾性纳入64例术前双参数前列腺MRI合成序列的男性患者。放射科医生在ADC图和合成MRI上描绘病变,并与数字化的整片标本相匹配。根据Gleason分级将PCa分为低、中、高三个等级。统计分析评估了不同年级T1、T2、PD和ADC值的差异。对于重要变量,生成AUC曲线。逻辑回归模型评估松弛图对ADC的附加诊断价值。结果:95例PCa病灶中,轻度11例,中度45例,重度39例。T1 (P = 0.4)和PD (P = 0.3)差异无统计学意义,而T2和ADC差异有统计学意义(P P P P = 0.021)和0.755 (95% CI=0.648-0.864;P = 0.0051)。结合T2和ADC的logistic回归模型显示,与单独ADC相比,在区分低、中、高级别PCa和低、中、高级别PCa方面没有显著改善(P < 0.05)。结论:合成MRI的T1和PD图对PCa分级的应用有限。虽然T2值是有效的,但ADC值在评估前列腺癌侵袭性方面更优越。增加T2对ADC的诊断效果没有显著提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Acta radiologica
Acta radiologica 医学-核医学
CiteScore
2.70
自引率
0.00%
发文量
170
审稿时长
3-8 weeks
期刊介绍: Acta Radiologica publishes articles on all aspects of radiology, from clinical radiology to experimental work. It is known for articles based on experimental work and contrast media research, giving priority to scientific original papers. The distinguished international editorial board also invite review articles, short communications and technical and instrumental notes.
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