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利用前列腺特异性抗原密度、前列腺影像报告和数据系统(PI-RADS)评分以及多参数磁共振成像上的定性描述符对不确定(李克特评分3/5)的外周带前列腺病变进行特征描述。

Characterizing indeterminate (Likert-score 3/5) peripheral zone prostate lesions with PSA density, PI-RADS scoring and qualitative descriptors on multiparametric MRI.

作者信息

Brizmohun Appayya Mrishta, Sidhu Harbir S, Dikaios Nikolaos, Johnston Edward W, Simmons Lucy Am, Freeman Alex, Kirkham Alexander Ps, Ahmed Hashim U, Punwani Shonit

机构信息

1 Centre for Medical Imaging, University College London, Wolfson House , London , UK.

2 Department of Radiology, University College London Hospital , London , UK.

出版信息

Br J Radiol. 2018 Feb;91(1083):20170645. doi: 10.1259/bjr.20170645. Epub 2017 Dec 15.

DOI:10.1259/bjr.20170645
PMID:29189042
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5965471/
Abstract

OBJECTIVE

To determine whether indeterminate (Likert-score 3/5) peripheral zone (PZ) multiparametric MRI (mpMRI) studies are classifiable by prostate-specific antigen (PSA), PSA density (PSAD), Prostate Imaging Reporting And Data System version 2 (PI-RADS_v2) rescoring and morphological MRI features.

METHODS

Men with maximum Likert-score 3/5 within their PZ were retrospectively selected from 330 patients who prospectively underwent prostate mpMRI (3 T) without an endorectal coil, followed by 20-zone transperineal template prostate mapping biopsies +/- focal lesion-targeted biopsy. PSAD was calculated using pre-biopsy PSA and MRI-derived volume. Two readers A and B independently assessed included men with both Likert-assessment and PI-RADS_v2. Both readers then classified mpMRI morphological features in consensus. Men were divided into two groups: significant cancer (≥ Gleason 3 + 4) or insignificant cancer (≤ Gleason 3 + 3)/no cancer. Comparisons between groups were made separately for PSA & PSAD using Mann-Whitney test and morphological descriptors with Fisher's exact test. PI-RADS_v2 and Likert-assessment were descriptively compared and percentage inter-reader agreement calculated.

RESULTS

76 males were eligible for PSA & PSAD analyses, 71 for PI-RADS scoring, and 67 for morphological assessment (excluding significant image artefacts). Unlike PSA (p = 0.915), PSAD was statistically different (p = 0.004) between the significant [median: 0.19 ng ml (interquartile range: 0.13-0.29)] and non-significant/no cancer [median: 0.13 ng ml (interquartile range: 0.10-0.17)] groups. Presence of mpMRI morphological features was not significantly different between groups. Subjective Likert-assessment discriminated patients with significant cancer better than PI-RADS_v2. Inter-reader percentage agreement was 83% for subjective Likert-assessment and 56% for PI-RADS_v2.

CONCLUSION

PSAD may categorize presence of significant cancer in patients with Likert-scored 3/5 PZ mpMRI findings. Advances in knowledge: PSAD may be used in indeterminate PZ mpMRI to guide decisions between biopsy vs monitoring.

摘要

目的

确定前列腺特异性抗原(PSA)、PSA密度(PSAD)、前列腺影像报告和数据系统第2版(PI-RADS_v2)重新评分以及形态学MRI特征能否对不确定(李克特评分为3/5)的外周带(PZ)多参数MRI(mpMRI)检查结果进行分类。

方法

从330例前瞻性接受前列腺mpMRI(3T)检查且未使用直肠内线圈的患者中,回顾性选取PZ内李克特评分最高为3/5的男性,随后进行20区经会阴模板前列腺穿刺活检和/或局灶性病变靶向活检。PSAD使用活检前PSA和MRI得出的体积进行计算。两位阅片者A和B独立评估纳入的同时有李克特评分和PI-RADS_v2评分的男性。然后,两位阅片者共同对mpMRI形态学特征进行分类。将男性分为两组:显著癌(≥ Gleason 3+4)或非显著癌(≤ Gleason 3+3)/无癌。组间比较分别使用Mann-Whitney检验对PSA和PSAD进行分析,使用Fisher精确检验对形态学描述符进行分析。对PI-RADS_v2和李克特评分进行描述性比较,并计算阅片者间的百分比一致性。

结果

76名男性符合PSA和PSAD分析条件,71名符合PI-RADS评分条件,67名符合形态学评估条件(排除明显图像伪影)。与PSA(p = 0.915)不同,PSAD在显著癌组[中位数:0.19 ng/ml(四分位间距:0.13 - 0.29)]和非显著癌/无癌组[中位数:0.13 ng/ml(四分位间距:0.10 - 0.17)]之间存在统计学差异(p = 0.004)。mpMRI形态学特征的存在在两组之间无显著差异。主观李克特评分在区分显著癌患者方面优于PI-RADS_v2。阅片者间主观李克特评分的百分比一致性为83%,PI-RADS_v2为56%。

结论

PSAD可对PZ的李克特评分为3/5的mpMRI检查结果中显著癌的存在进行分类。知识进展:PSAD可用于不确定的PZ mpMRI,以指导活检与监测之间的决策。

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本文引用的文献

1
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J Urol. 2017 Sep;198(3):575-582. doi: 10.1016/j.juro.2017.03.130. Epub 2017 Mar 31.
2
Prospective Evaluation of PI-RADS™ Version 2 Using the International Society of Urological Pathology Prostate Cancer Grade Group System.PI-RADS™ 版本 2 的前瞻性评估:采用国际泌尿病理学会前列腺癌分级分组系统。
J Urol. 2017 Sep;198(3):583-590. doi: 10.1016/j.juro.2017.03.131. Epub 2017 Mar 31.
3
Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study.多参数 MRI 和 TRUS 活检在前列腺癌(PROMIS)中的诊断准确性:一项配对验证性研究。
Lancet. 2017 Feb 25;389(10071):815-822. doi: 10.1016/S0140-6736(16)32401-1. Epub 2017 Jan 20.
4
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5
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7
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8
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9
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BJU Int. 2017 Feb;119(2):225-233. doi: 10.1111/bju.13465. Epub 2016 Apr 1.
10
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Curr Urol. 2015 Jul;8(2):96-100. doi: 10.1159/000365697. Epub 2015 Jul 10.