The utility of apparent diffusion coefficient values in the risk stratification of prostate cancer using a 1.5 T magnetic resonance imaging without endorectal coil

João Lopes Dias , João Magalhães Pina , Nuno Vasco Costa , Sandra Carmo , Cecília Leal , Tiago Bilhim , Rui Mateus Marques , Luís Campos Pinheiro
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引用次数: 1

Abstract

Purpose

To evaluate the relationship between mean apparent diffusion coefficient (ADC) and post-surgical Gleason scores. To determine the diagnostic accuracy of multiparametric magnetic resonance imaging (mp-MRI) on a 1.5 T magnet in distinguishing low, intermediate and high-grade prostate tumors.

Material and methods

This is a retrospective institutional-review-board-approved, single-center study including 30 patients (median age, 60 years) who underwent mp-MRI before prostatectomy for prostate cancer. Using histological reports for guidance, the tumors were localized in ADC maps, and mean ADCs were measured and examined for correlation with Gleason scores. 2 patients had 2 measurable foci, so a total of 32 tumors were studied. The diagnostic accuracy of the mean ADC was assessed by using the area under the receiver operating characteristic curve (ROC).

Results

In the differentiation of tumors with a Gleason score of 6 from those with a Gleason score of at least 7, mean ADC yielded an AUC of 0.76 (95% confidence interval: 0.59, 0.93). In the differentiation of tumors with Gleason scores of 6 or 7 from those with a Gleason score of at least 8, mean ADC yielded an AUC of 0.94 (95% confidence interval: 0.86, 1.00).

Conclusion

Mean ADC values may allow a correct assessment of the patient risk using a 1.5 T magnet without ERC.

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使用1.5 T无直肠内线圈的磁共振成像进行前列腺癌风险分层时表观扩散系数的效用
目的探讨平均表观扩散系数(ADC)与术后Gleason评分的关系。目的探讨1.5 T多参数磁共振成像(mp-MRI)在鉴别低、中、高级别前列腺肿瘤中的诊断准确性。材料和方法这是一项经机构审查委员会批准的回顾性单中心研究,包括30例(中位年龄60岁)在前列腺癌切除术前接受mp-MRI检查的患者。以组织学报告为指导,将肿瘤定位在ADC图中,测量平均ADC并检查其与Gleason评分的相关性。2例患者有2个可测量病灶,共研究32例肿瘤。采用受试者工作特征曲线(ROC)下面积评价平均ADC的诊断准确性。结果Gleason评分为6分的肿瘤与Gleason评分为7分以上的肿瘤分化,平均ADC的AUC为0.76(95%可信区间:0.59,0.93)。在Gleason评分为6或7分的肿瘤与Gleason评分至少为8分的肿瘤的分化中,平均ADC的AUC为0.94(95%可信区间:0.86,1.00)。结论平均ADC值可以正确评估患者使用1.5 T无ERC磁铁的风险。
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