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乳腺病变 F-FDG PET/CT 表现与超声 BI-RADS 评估的相关性:一项多中心研究。

Correlation Between F-FDG PET/CT Findings and BI-RADS Assessment Using Ultrasound in the Evaluation of Breast Lesions: A Multicenter Study.

机构信息

Department of Nuclear Medicine, Chinese PLA General Hospital, No. 28, Fuxing Road, Beijing 100853, China; Department of Nuclear Medicine, Affiliated Hospital of Logistic University of PAP, Tianjin, China.

Department of Nuclear Medicine, Chinese PLA General Hospital, No. 28, Fuxing Road, Beijing 100853, China; Department of Nuclear Medicine, The Fourth Medical Center of Chinese PLA General Hospital, Beijing, China.

出版信息

Acad Radiol. 2020 May;27(5):682-688. doi: 10.1016/j.acra.2019.05.020. Epub 2019 Jul 13.

Abstract

RATIONALE AND OBJECTIVES

To analyze the correlation between ultrasound breast imaging reporting and data system (BI-RADS) category and fluorodeoxyglucose [F] (F-FDG) positron emission tomography/computed tomography (PET/CT) findings and their value in breast lesion diagnosis.

MATERIALS AND METHODS

Cases involving hypermetabolic lesions identified by F-FDG PET/CT and ultrasound were retrospectively analyzed. The correlation between the maximum standardized uptake values (SUV) of the lesions and the BI-RADS grades was calculated. Histologic diagnosis or evidence at the end of a 2-year follow-up as the standard of truth were analyzed to determine the sensitivity, specificity, positive predictive values (PPV), and negative predictive values (NPV) of the diagnostic methods. Area under the curve (AUC) of BI-RADS, SUV, and BI-RADS/SUV combined were obtained using receiver-operating characteristic curve (ROC) analysis.

RESULTS

Of 206 cases, 92 were benign and 114 were malignant. The difference between the SUV and the BI-RADS grades was statistically significant (p < 0.001). The critical value of the optimal SUV was 2.325, and the accuracy, sensitivity, specificity, PPV, and NPV were 84.5%, 91.2%, 76.1%, 82.5%, and 87.5%, respectively. For diagnosis using BI-RADS, these values were 85.9%, 98.2%, 70.7%, 80.6%, and 97.0%, respectively. ROC analysis of 206 breast lesions for distinguishing benign from malignant lesions yielded AUCs of 0.948, 0.896, and 0.977 for BI-RADS, SUV, and BI-RADS/SUV combined, respectively. The critical value of the optimal SUV in grade 3 and 4 lesions (as determined using BI-RADS) was 2.705, and the accuracy, sensitivity, specificity, PPV, and NPV were 82.6%, 77.8%, 85.7%, 77.8%, and 85.7%, respectively. For diagnosis using BI-RADS in cases with grade 3 and 4 lesions, these values were 68.5%, 94.4%, 51.8%, 55.7%, and 93.5%, respectively. In ROC analysis for distinguishing benign from malignant for BI-RADS grade 3-4 lesions, the AUC of BI-RADS, SUV, and BI-RADS/SUV combined were 0.731, 0.859, and 0.882, respectively.

CONCLUSION

Both F-FDG PET/CT and ultrasound-dependent BI-RADS grading are effective for diagnosing breast lesions. However, in cases of BI-RADS grades 3 and 4, F-FDG PET/CT has better specificity and may be useful for further differential diagnosis.

摘要

背景与目的

分析超声乳腺影像报告和数据系统(BI-RADS)分类与氟代脱氧葡萄糖[F](F-FDG)正电子发射断层扫描/计算机断层扫描(PET/CT)表现之间的相关性及其在乳腺病变诊断中的价值。

材料与方法

回顾性分析 F-FDG PET/CT 检查发现的高代谢性病变的病例。计算病变的最大标准化摄取值(SUV)与 BI-RADS 分级之间的相关性。以组织学诊断或 2 年随访结束时的证据为金标准,分析诊断方法的敏感性、特异性、阳性预测值(PPV)和阴性预测值(NPV)。采用受试者工作特征曲线(ROC)分析获得 BI-RADS、SUV 和 BI-RADS/SUV 联合的曲线下面积(AUC)。

结果

206 例患者中,良性 92 例,恶性 114 例。SUV 和 BI-RADS 分级之间的差异具有统计学意义(p<0.001)。最佳 SUV 的临界值为 2.325,准确性、敏感性、特异性、PPV 和 NPV 分别为 84.5%、91.2%、76.1%、82.5%和 87.5%。对于 BI-RADS 诊断,这些值分别为 85.9%、98.2%、70.7%、80.6%和 97.0%。对 206 例乳腺病变进行良恶性鉴别分析,BI-RADS、SUV 和 BI-RADS/SUV 联合的 AUC 分别为 0.948、0.896 和 0.977。BI-RADS 分级为 3 级和 4 级病变(BI-RADS 评估)时最佳 SUV 的临界值为 2.705,准确性、敏感性、特异性、PPV 和 NPV 分别为 82.6%、77.8%、85.7%、77.8%和 85.7%。对于 BI-RADS 分级为 3 级和 4 级病变的病例诊断,这些值分别为 68.5%、94.4%、51.8%、55.7%和 93.5%。对于 BI-RADS 分级为 3-4 级病变的良恶性鉴别 ROC 分析,BI-RADS、SUV 和 BI-RADS/SUV 联合的 AUC 分别为 0.731、0.859 和 0.882。

结论

F-FDG PET/CT 和基于超声的 BI-RADS 分级均有助于诊断乳腺病变。然而,在 BI-RADS 分级为 3 级和 4 级的情况下,F-FDG PET/CT 的特异性更好,可能有助于进一步鉴别诊断。

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