In vivo prostate cancer detection and grading using restriction spectrum imaging-MRI
In vivo prostate cancer detection and grading using restriction spectrum imaging-MRI
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DOI：
10.1038/pcan.2015.61
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发表时间：
2016-06-01
影响因子：
4.8
通讯作者：
Karow, D. S.
中科院分区：
文献类型：
--
作者：
McCammack, K. C.;Kane, C. J.;Karow, D. S.
背景技术背景：磁共振成像（MRI）正在成为一种检测和表征前列腺癌（PCa）的稳健的非侵入性方法，但其区分癌性组织和非癌性组织的能力仍然存在局限性。我们评估了一种新的MRI技术，限制性频谱成像（RSI-MRI），与目前的标准护理MRI相比，定量检测和分级PCa的性能。在一项对33例活检证实的PCa患者的回顾性评价中，这些患者在根治性前列腺切除术前接受了RSI-MRI和标准MRI，对RSI-MRI和每个定量MRI术语进行了受试者工作特征（ROC）曲线，ROC曲线下面积（AUC）用于比较每个术语区分PCa和正常前列腺的能力。斯皮尔曼等级顺序相关性进行评估每个术语的能力，以预测PCa等级在根治性前列腺切除术samples.RESULTS：RSI-MRI表现出上级分化PCa正常组织，AUC为0.94和0.85的RSI-MRI和传统的扩散MRI，分别（P=0.04）。RSI-MRI在预测PCa侵袭性方面也表现出上级性能，RSI-MRI和常规扩散MRI的斯皮尔曼等级相关系数分别为0.53（P=0.002）和-0.42（P=0.01），与肿瘤分级相关。结论：RSI-MRI显著改善了当前非侵入性PCa成像，并可能潜在地增强其诊断和表征。
BACKGROUND: Magnetic resonance imaging (MRI) is emerging as a robust, noninvasive method for detecting and characterizing prostate cancer (PCa), but limitations remain in its ability to distinguish cancerous from non-cancerous tissue. We evaluated the performance of a novel MRI technique, restriction spectrum imaging (RSI-MRI), to quantitatively detect and grade PCa compared with current standard-of-care MRI.METHODS: In a retrospective evaluation of 33 patients with biopsy-proven PCa who underwent RSI-MRI and standard MRI before radical prostatectomy, receiver-operating characteristic (ROC) curves were performed for RSI-MRI and each quantitative MRI term, with area under the ROC curve (AUC) used to compare each term's ability to differentiate between PCa and normal prostate. Spearman rank-order correlations were performed to assess each term's ability to predict PCa grade in the radical prostatectomy specimens.RESULTS: RSI-MRI demonstrated superior differentiation of PCa from normal tissue, with AUC of 0.94 and 0.85 for RSI-MRI and conventional diffusion MRI, respectively (P=0.04). RSI-MRI also demonstrated superior performance in predicting PCa aggressiveness, with Spearman rank-order correlation coefficients of 0.53 (P=0.002) and -0.42 (P=0.01) for RSI-MRI and conventional diffusion MRI, respectively, with tumor grade.CONCLUSIONS: RSI-MRI significantly improves upon current noninvasive PCa imaging and may potentially enhance its diagnosis and characterization.