Impact of the integration of proton magnetic resonance imaging spectroscopy to PI-RADS 2 for prediction of high grade and high stage prostate cancer
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https://scielo.figshare.com/articles/Impact_of_the_integration_of_proton_magnetic_resonance_imaging_spectroscopy_to_PI-RADS_2_for_prediction_of_high_grade_and_high_stage_prostate_cancer/5666827/1
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Abstract Objective: To compare the predictions of dominant Gleason pattern ≥ 4 or non-organ confined disease with Prostate Imaging Reporting and Data System (PI-RADS v2) with or without proton magnetic resonance spectroscopic imaging (1H-MRSI). Materials and Methods: Thirty-nine men underwent 3-tesla endorectal multiparametric MRI including 1H-MRSI and prostatectomy. Two radiologists assigned PI-RADS v2 and 1H-MRSI scores to index lesions. Statistical analyses used logistic regressions, receiver operating characteristic (ROC) curves, and 2x2 tables for diagnostic accuracies. Results: The sensitivity and specificity of 1H-MRSI and PI-RADS v2 for high-grade prostate cancer (PCa) were 85.7% (57.1%) and 92.9% (100%), and 56% (68.0%) and 24.0% (24.0%). The sensitivity and specificity of 1H-MRSI and PI-RADS v2 for extra-prostatic extension (EPE) were 64.0% (40%) and 20.0% (48%), and 50.0% (57.1%) and 71.4% (64.3%). The area under the ROC curves (AUC) for prediction of high-grade prostate cancer were 0.65 and 0.61 for PI-RADS v2 and 0.72 and 0.70 when combined with 1H-MRSI (readers 1 and 2, p = 0.04 and 0.21). For prediction of EPE the AUC were 0.54 and 0.60 for PI-RADS v2 and 0.55 and 0.61 when combined with 1H-MRSI (p > 0.05). Conclusion: 1H-MRSI might improve the discrimination of high-grade prostate cancer when combined to PI-RADS v2, particularly for PI-RADS v2 score 4 lesions, but it does not affect the prediction of EPE.
摘要
研究目的:对比单独使用或联合氢质子磁共振波谱成像(1H-MRSI)的前列腺影像报告和数据系统(Prostate Imaging Reporting and Data System,PI-RADS v2),对主要格里森分型≥4的病灶及非器官局限性病变的预测效能。
材料与方法:纳入39名男性受试者,均接受包含1H-MRSI的3特斯拉直肠内多参数磁共振成像检查,并接受根治性前列腺切除术。两名放射科医师对靶病灶分别进行PI-RADS v2评分及1H-MRSI评分。统计分析采用逻辑回归分析、受试者工作特征(Receiver Operating Characteristic,ROC)曲线及四格表法评估诊断效能。
结果:针对高级别前列腺癌(Prostate Cancer,PCa),1H-MRSI单独检测的敏感度与特异度分别为85.7%(读者2为57.1%)、92.9%(读者2为100%);PI-RADS v2单独检测的敏感度与特异度分别为56.0%(读者2为68.0%)、24.0%(读者2为24.0%)。针对前列腺外侵犯(Extra-prostatic Extension,EPE),1H-MRSI单独检测的敏感度与特异度分别为64.0%(读者2为40.0%)、20.0%(读者2为48.0%);PI-RADS v2单独检测的敏感度与特异度分别为50.0%(读者2为57.1%)、71.4%(读者2为64.3%)。在高级别前列腺癌的预测中,单独使用PI-RADS v2的受试者工作特征曲线下面积(Area Under the Receiver Operating Characteristic Curve,AUC)分别为0.65(读者1)与0.61(读者2);联合1H-MRSI后则分别为0.72(读者1)与0.70(读者2),两组差异具有统计学意义(读者1:P=0.04;读者2:P=0.21)。针对EPE的预测,单独使用PI-RADS v2的AUC分别为0.54(读者1)与0.60(读者2),联合1H-MRSI后分别为0.55(读者1)与0.61(读者2),两组差异均无统计学意义(均P>0.05)。
结论:氢质子磁共振波谱成像联合PI-RADS v2可提升对高级别前列腺癌的鉴别效能,尤其针对PI-RADS v2评分为4分的病灶,但对前列腺外侵犯的预测无显著改善作用。
提供机构:
SciELO journals
创建时间:
2017-12-05



