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磁共振图像汇编结合前列腺 PI-RADS v2.1 评分对前列腺良恶性病变具有诊断相关性。

Magnetic Resonance Image Compilation Was Used in Conjunction with Prostate PI-RADS v2.1 Score Has Diagnostic Relevance for Benign and Malignant Prostate Lesions.

机构信息

Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province 215006, China.

Department of Radiology, Medical Image Center, The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province 225001, China.

出版信息

Comput Math Methods Med. 2022 Aug 29;2022:3613540. doi: 10.1155/2022/3613540. eCollection 2022.

DOI:10.1155/2022/3613540
PMID:36072774
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9444436/
Abstract

OBJECTIVE

To assess the diagnostic usefulness of magic in conjunction with PI-RADS v2.1 for prostate cancer malignant foci.

METHODS

A total of 202 lesions (97 transitional zone lesions and 105 peripheral zone lesions) from 198 people were investigated retrospectively using traditional MRI and magic images. Each lesion has a unique pathological consequence. Lesions T1, T2, and PD values were employed as magic observation markers. The locations of the lesions were aggregated, and the paired -test and receiver operating characteristic curve (ROC) were employed to find the indices with statistical significance in separating benign from malignant prostatic nodules (+1 point) and (-1 point) respectively. Draw a ROC curve and compare it to the PI-RADS v2.1 score using the magic positive and negative indices as well as the PI-RADS v2.1 score. By comparing the ROC curves scored separately, the diagnostic efficiency of the two scoring approaches for benign and malignant prostate lesions was investigated.

RESULTS

T2 value has the highest diagnostic efficiency among the magic observation indices. T2 value of 77 ms for transitional zone lesions and T2 value of 89 ms for peripheral zone lesions are positive indices, whereas T2 value >77 ms and T2 value >89 ms are negative indexes. PI-RADS v2.1 combines one score and magic. In the transitional zone, the sensitivity, specificity, positive predictive value, and negative predictive value of the two scoring methods were 57.52, 87.70, 76.70, and 74.6 percent and 82.50, 73.68, 95.5, and 74.7 percent, respectively, and the AUC values were 0.735 and 0.846, respectively ( = 0.004); in the peripheral zone, the AUC values were 86.15 percent, 68.42 percent, 82.4.

CONCLUSIONS

Magic T2 value is a favorable sign for diagnosing benign and malignant prostate cancers when used in conjunction with PI-RADS v2.1. The end product exceeds PI-RADS v2.1 on its own, which is more useful in identifying benign and malignant prostate lesions, decreasing unnecessary puncture and alleviating patient pain.

摘要

目的

评估 PI-RADS v2.1 联合磁共振弥散加权成像(DWI)对前列腺癌病灶的诊断效能。

方法

回顾性分析 198 例患者的 202 个病灶(97 个移行带病灶和 105 个外周带病灶)的传统 MRI 和 DWI 图像。每个病灶均有唯一的病理结果。采用病灶 T1、T2 及 PD 值作为 DWI 观察指标。对病灶部位进行汇总,采用配对 t 检验和受试者工作特征曲线(ROC)分析分别寻找区分前列腺良恶性结节的有统计学意义的指标(+1 分和-1 分)。绘制 ROC 曲线,并比较 PI-RADS v2.1 评分、DWI 阳性及阴性指标与 PI-RADS v2.1 评分的 ROC 曲线。分别比较两种评分方法对前列腺良恶性病变的诊断效能。

结果

DWI 观察指标中 T2 值的诊断效能最高。T2 值<77 ms 为移行带病灶的阳性指标,T2 值<89 ms 为外周带病灶的阳性指标,T2 值>77 ms 和 T2 值>89 ms 为阴性指标。PI-RADS v2.1 结合了评分和 DWI 两种方法。在移行带,两种评分方法的灵敏度、特异度、阳性预测值和阴性预测值分别为 57.52%、87.70%、76.70%和 74.6%和 82.50%、73.68%、95.5%和 74.7%,ROC 曲线下面积(AUC)分别为 0.735 和 0.846( = 0.004);在外周带,AUC 分别为 86.15%、68.42%、82.4%。

结论

PI-RADS v2.1 联合 DWI 的 T2 值是诊断前列腺良恶性肿瘤的有利指标,其联合应用 PI-RADS v2.1 评分对前列腺良恶性病变的诊断效能更高,可减少不必要的穿刺,减轻患者痛苦。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cab7/9444436/97d9f6bbd40b/CMMM2022-3613540.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cab7/9444436/702cebc73b67/CMMM2022-3613540.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cab7/9444436/10f331369c0e/CMMM2022-3613540.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cab7/9444436/789704b90389/CMMM2022-3613540.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cab7/9444436/97d9f6bbd40b/CMMM2022-3613540.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cab7/9444436/702cebc73b67/CMMM2022-3613540.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cab7/9444436/10f331369c0e/CMMM2022-3613540.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cab7/9444436/789704b90389/CMMM2022-3613540.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cab7/9444436/97d9f6bbd40b/CMMM2022-3613540.004.jpg

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