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多参数磁共振成像表观扩散系数(ADC)在诊断具有临床意义的前列腺癌中的准确性

Multiparametric MRI Apparent Diffusion Coefficient (ADC) Accuracy in Diagnosing Clinically Significant Prostate Cancer.

作者信息

Pepe Pietro, D'Urso Davide, Garufi Antonio, Priolo Giandomenico, Pennisi Michele, Russo Giorgio, Sabini Maria Gabriella, Valastro Lucia Maria, Galia Antonio, Fraggetta Filippo

机构信息

Urology Unit, Cannizzaro Hospital, Catania, Italy.

Department of Medical Physics, Cannizzaro Hospital, Catania, Italy

出版信息

In Vivo. 2017 May-Jun;31(3):415-418. doi: 10.21873/invivo.11075.

Abstract

AIM

To evaluate the accuracy of multiparametric magnetic resonance imaging apparent diffusion coefficient (mpMRI ADC) in the diagnosis of clinically significant prostate cancer (PCa).

PATIENTS AND METHODS

From January 2016 to December 2016, 44 patients who underwent radical prostatectomy for PCa and mpMRI lesions suggestive of cancer were retrospectively evaluated at definitive specimen. The accuracy of suspicious mpMRI prostate imaging reporting and data system (PI-RADS ≥3) vs. ADC values in the diagnosis of Gleason score ≥7 was evaluated.

RESULTS

Receiver operating characteristics (ROC) curve analysis gave back an ADC threshold of 0.747×10 mm/s to separate between Gleason Score 6 and ≥7. The diagnostic accuracy of ADC value (cut-off 0.747×10 mm/s) vs. PI-RADS score ≥3 in diagnosing PCa with Gleason score ≥7 was equal to 84% vs. 63.6% with an area under the curve (AUC) ROC of 0.81 vs. 0.71, respectively.

CONCLUSION

ADC evaluation could support clinicians in decision making of patients with PI-RADS score <3 at risk for PCa.

摘要

目的

评估多参数磁共振成像表观扩散系数(mpMRI ADC)在诊断临床显著性前列腺癌(PCa)中的准确性。

患者与方法

回顾性评估2016年1月至2016年12月期间44例因PCa接受根治性前列腺切除术且mpMRI显示有可疑癌性病变的患者的最终标本。评估可疑mpMRI前列腺影像报告和数据系统(PI-RADS≥3)与ADC值在诊断Gleason评分≥7的PCa中的准确性。

结果

受试者工作特征(ROC)曲线分析得出ADC阈值为0.747×10⁻³mm²/s,用于区分Gleason评分6分和≥7分。ADC值(临界值0.747×10⁻³mm²/s)与PI-RADS评分≥3在诊断Gleason评分≥7的PCa中的诊断准确性分别为84%和63.6%,ROC曲线下面积(AUC)分别为0.81和0.71。

结论

ADC评估可为PI-RADS评分<3且有PCa风险的患者的临床决策提供支持。

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