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扩散加权成像在叶状肿瘤与纤维腺瘤及乳腺癌鉴别诊断中的应用价值。

The utility of diffusion-weighted imaging for differentiation of phyllodes tumor from fibroadenoma and breast cancer.

作者信息

Fang Jinzhi, Zhang Yuzhong, Li Ruifeng, Liang Lanlan, Yu Juan, Hu Ziqi, Zhou Lingling, Liu Renwei

机构信息

Department of Radiology, Affiliated Longhua People's Hospital, Southern Medical University (Longhua People's Hospital), Shenzhen, China.

Clinical Medical College of Dali University, Dali, China.

出版信息

Front Oncol. 2023 Mar 2;13:938189. doi: 10.3389/fonc.2023.938189. eCollection 2023.

Abstract

OBJECTIVE

To evaluate the utility of apparent diffusion coefficient (ADC) values for differentiating breast tumors.

METHODS

The medical records of 17 patients with phyllodes tumor [PT; circular regions of interest (ROI-cs) n = 171], 74 patients with fibroadenomas (FAs; ROI-cs, n = 94), and 57 patients with breast cancers (BCs; ROI-cs, n = 104) confirmed by surgical pathology were retrospectively reviewed.

RESULTS

There were significant differences between PTs, FAs, and BCs in ADCmean, ADCmax, and ADCmin values. The cutoff ADCmean for differentiating PTs from FAs was 1.435 × 10 mm/s, PTs from BCs was 1.100 × 10 mm/s, and FAs from BCs was 0.925 × 10 mm/s. There were significant differences between benign PTs, borderline PTs, and malignant PTs in ADCmean, ADCmax, and ADCmin values. The cutoff ADCmean for differentiating benign PTs from borderline PTs was 1.215 × 10 mm/s, and borderline PTs from malignant PTs was 1.665 × 10 mm/s.

CONCLUSION

DWI provides quantitative information that can help distinguish breast tumors.

摘要

目的

评估表观扩散系数(ADC)值在鉴别乳腺肿瘤中的应用价值。

方法

回顾性分析17例经手术病理确诊的叶状肿瘤(PT;感兴趣区圆形区域(ROI-cs)n = 171)、74例纤维腺瘤(FA;ROI-cs,n = 94)和57例乳腺癌(BC;ROI-cs,n = 104)患者的病历资料。

结果

PT、FA和BC在ADC均值、ADC最大值和ADC最小值方面存在显著差异。区分PT与FA的ADC均值临界值为1.435×10⁻³mm²/s,区分PT与BC的为1.100×10⁻³mm²/s,区分FA与BC的为0.925×10⁻³mm²/s。良性PT、交界性PT和恶性PT在ADC均值、ADC最大值和ADC最小值方面存在显著差异。区分良性PT与交界性PT的ADC均值临界值为1.215×10⁻³mm²/s,区分交界性PT与恶性PT的为1.665×10⁻³mm²/s。

结论

扩散加权成像(DWI)提供的定量信息有助于鉴别乳腺肿瘤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99e2/10018141/094d3aefd4a1/fonc-13-938189-g001.jpg

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