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弥散加权 MRI 的逆向编码扭曲校正:提高疑似前列腺癌患者良恶性区域 ADC 值评估的图像质量和诊断效能。

Reverse encoding distortion correction for diffusion-weighted MRI: Efficacy for improving image quality and ADC evaluation for differentiating malignant from benign areas in suspected prostatic cancer patients.

机构信息

Department of Radiology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.

Department of Radiology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan; Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.

出版信息

Eur J Radiol. 2023 May;162:110764. doi: 10.1016/j.ejrad.2023.110764. Epub 2023 Mar 5.

DOI:10.1016/j.ejrad.2023.110764
PMID:36905716
Abstract

PURPOSE

The purpose of this study was to determine the influenceof reverse encoding distortion correction (RDC) on ADC measurement and its efficacy for improving image quality and diagnostic performance for differentiating malignant from benign prostatic areas on prostatic DWI.

METHODS

Forty suspected prostatic cancer patients underwent DWI with or without RDC (i.e. RDC DWI or DWI) using a 3 T MR system as well as pathological examinations. The pathological examination results indicated 86 areas were malignant while 86 out of 394 areas were computationally selected as benign. SNR for benign areas and muscle and ADCs for malignant and benign areas were determined by ROI measurements on each DWI. Moreover, overall image quality was assessed with a 5-point visual scoring system on each DWI. Paired t-test or Wilcoxon's signed rank test was performed to compare SNR and overall image quality for DWIs. ROC analysis was then used to compare the diagnostic performance, and sensitivity (SE), specificity (SP) and accuracy (AC) of ADC were compared between two DWI by means of McNemar's test.

RESULTS

SNR and overall image quality of RDC DWI showed significant improvements when compared with those of DWI (p < 0.05). Areas under the curve (AUC), SP and AC of DWI RDC DWI (AUC: 0.85, SP: 72.1%, AC: 79.1%) were significantly better than those of DWI (AUC: 0.79, p = 0.008; SP: 64%, p = 0.02; AC: 74.4%, p = 0.008).

CONCLUSION

RDC technique has the potential to improve image quality and ability to differentiate malignant from benign prostatic areas on DWIs of suspected prostatic cancer patients.

摘要

目的

本研究旨在确定反向编码失真校正(RDC)对 ADC 测量的影响,及其在提高前列腺弥散加权成像(DWI)区分良恶性前列腺区域的图像质量和诊断性能方面的作用。

方法

40 例疑似前列腺癌患者在 3.0T 磁共振系统上分别行 RDC 校正(即 RDC-DWI)和未校正(即 DWI)DWI 检查,并进行病理检查。病理检查结果显示 86 个区域为恶性,394 个区域中 86 个区域为良性。通过 ROI 测量,在每个 DWI 上测量良性区域的 SNR 和肌肉的 SNR,以及恶性和良性区域的 ADC。此外,通过每个 DWI 的 5 分制视觉评分系统评估整体图像质量。对 DWI 的 SNR 和整体图像质量进行配对 t 检验或 Wilcoxon 符号秩检验。然后,通过 ROC 分析比较两种 DWI 的诊断性能,并通过 McNemar 检验比较两种 DWI 的 ADC 的诊断性能,包括敏感性(SE)、特异性(SP)和准确性(AC)。

结果

与 DWI 相比,RDC-DWI 的 SNR 和整体图像质量均有显著提高(p<0.05)。DWI RDC-DWI 的曲线下面积(AUC)、SP 和 AC(AUC:0.85,SP:72.1%,AC:79.1%)明显优于 DWI(AUC:0.79,p=0.008;SP:64%,p=0.02;AC:74.4%,p=0.008)。

结论

RDC 技术有可能改善疑似前列腺癌患者 DWI 上的图像质量和区分良恶性前列腺区域的能力。

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