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乳腺特异性伽马成像特征分析在预测恶性肿瘤中的作用。

Usefulness of feature analysis of breast-specific gamma imaging for predicting malignancy.

机构信息

Department of Radiology, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 56, Dongsu-ro, Bupyeong-gu, Seoul, 403-720, South Korea.

出版信息

Eur Radiol. 2018 Dec;28(12):5195-5202. doi: 10.1007/s00330-018-5563-3. Epub 2018 Jun 12.

DOI:10.1007/s00330-018-5563-3
PMID:29948076
Abstract

OBJECTIVES

The purpose of this study was to investigate which feature of the breast-specific gamma imaging (BSGI) uptake in women who were recently diagnosed with breast cancer was associated with malignancy.

METHODS

Data on 231 newly diagnosed breast cancer patients who underwent preoperative BSGI were retrospectively reviewed. Feature analysis was done by classifying BSGI uptake into mass, non-mass, or focus/foci. Descriptors for mass, non-mass, or focus/foci were shape, distribution, number, and intensity. BSGI features of known malignancies and lesions that were additionally found by BSGI were correlated with mammographic breast density, histology, hormonal status, and clinical follow-up data obtained over at least 2 years.

RESULTS

Among 372 breast lesions from 231 patients, 241 malignancies had been pathologically confirmed prior to BSGI and 131 additional lesions were found on BSGI. Irregular shape was more predictive of malignancy than oval shape (p=0.004) in mass uptake. Linear/ductal distribution was more predictive of malignancy than focal, regional, and segmental distribution (p<0.05) in non-mass uptake. Mammographic breast density was not associated with BSGI features. The lesion to normal ratio (LNR) was higher in the postmenopausal patients than that in the premenopausal patients (p=0.003).

CONCLUSIONS

The feature analysis of radiotracer uptake in BSGI is useful in predicting whether breast lesions are malignant or benign.

KEY POINTS

• The feature analysis of BSGI uptake is useful in predicting malignancy. • Irregular shape was predictive of malignancy in mass uptake. • Linear/ductal distribution was predictive of malignancy in non-mass uptake.

摘要

目的

本研究旨在探讨近期诊断为乳腺癌的女性乳腺特异性伽玛成像(BSGI)摄取的哪些特征与恶性肿瘤有关。

方法

回顾性分析了 231 例接受术前 BSGI 的新诊断乳腺癌患者的数据。通过将 BSGI 摄取分为肿块、非肿块或焦点/病灶来进行特征分析。肿块、非肿块或焦点/病灶的描述符为形状、分布、数量和强度。BSGI 已知恶性肿瘤和病变的特征与乳腺 X 线摄影乳房密度、组织学、激素状态以及至少 2 年获得的临床随访数据相关联。

结果

在 231 例患者的 372 个乳腺病变中,241 个恶性肿瘤在 BSGI 之前通过病理证实,131 个额外的病变在 BSGI 上发现。肿块摄取中,不规则形状比椭圆形更能预测恶性肿瘤(p=0.004)。非肿块摄取中,线性/导管分布比局灶性、区域性和节段性分布更能预测恶性肿瘤(p<0.05)。乳腺 X 线摄影乳房密度与 BSGI 特征无关。绝经后患者的病变与正常比值(LNR)高于绝经前患者(p=0.003)。

结论

BSGI 中放射性示踪剂摄取的特征分析可用于预测乳腺病变是恶性还是良性。

关键点

• BSGI 摄取的特征分析有助于预测恶性肿瘤。• 肿块摄取中不规则形状提示恶性肿瘤。• 非肿块摄取中线性/导管分布提示恶性肿瘤。

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Preoperative clinicopathologic factors and breast magnetic resonance imaging features can predict ductal carcinoma in situ with invasive components.
Histogram analysis with computed tomography angiography for discriminating soft tissue sarcoma from benign soft tissue tumor.
利用计算机断层血管造影术进行直方图分析以鉴别软组织肉瘤与良性软组织肿瘤。
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