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2
Association of breast cancer risk, density, and stiffness: global tissue stiffness on breast MR elastography (MRE).乳腺癌风险、密度和硬度的关联:乳腺磁共振弹性成像(MRE)的全球组织硬度。
Breast Cancer Res Treat. 2022 Jul;194(1):79-89. doi: 10.1007/s10549-022-06607-2. Epub 2022 Apr 30.
3
Role of shear wave elastography as an adjunct to axillary ultrasonography in predicting nodal metastasis in breast cancer patients with suspicious nodes.剪切波弹性成像在腋窝超声检查可疑淋巴结的乳腺癌患者中预测淋巴结转移的作用。
Br J Radiol. 2022 Jun 1;95(1134):20220055. doi: 10.1259/bjr.20220055. Epub 2022 Mar 28.
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Ultrasound-based radiomics nomogram for differentiation of triple-negative breast cancer from fibroadenoma.基于超声的放射组学列线图用于鉴别三阴性乳腺癌与纤维腺瘤。
Br J Radiol. 2022 May 1;95(1133):20210598. doi: 10.1259/bjr.20210598. Epub 2022 Feb 9.
5
The value of prognostic ultrasound features of breast cancer in different molecular subtypes with a focus on triple negative disease.不同分子亚型乳腺癌预后超声特征的价值,重点关注三阴性疾病。
Breast Cancer. 2022 Mar;29(2):296-301. doi: 10.1007/s12282-021-01311-3. Epub 2021 Nov 15.
6
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Radiomics features on ultrasound imaging for the prediction of disease-free survival in triple negative breast cancer: a multi-institutional study.超声影像组学特征预测三阴性乳腺癌无病生存:多中心研究。
Br J Radiol. 2021 Oct 1;94(1126):20210188. doi: 10.1259/bjr.20210188. Epub 2021 Sep 3.
8
Identifying ultrasound features of positive expression of Ki67 and P53 in breast cancer using radiomics.利用放射组学识别乳腺癌中 Ki67 和 P53 阳性表达的超声特征。
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9
Association of sonographic features and molecular subtypes in predicting breast cancer disease outcomes.超声特征与分子亚型与乳腺癌疾病结局的相关性研究。
Cancer Med. 2020 Sep;9(17):6173-6185. doi: 10.1002/cam4.3305. Epub 2020 Jul 13.
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The 2019 World Health Organization classification of tumours of the breast.《2019年世界卫生组织乳腺肿瘤分类》
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基于超声及临床病理特征的三阴性乳腺癌患者复发预测列线图

Nomograms predicting recurrence in patients with triple negative breast cancer based on ultrasound and clinicopathological features.

机构信息

Department of Ultrasound Medicine, the Second Affiliated Hospital of Harbin Medical University, Heilongjiang, China.

出版信息

Br J Radiol. 2022 Sep 1;95(1138):20220305. doi: 10.1259/bjr.20220305. Epub 2022 Aug 2.

DOI:10.1259/bjr.20220305
PMID:35819909
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9815727/
Abstract

OBJECTIVES

The clinicopathological and ultrasound features associated with recurrence in patients with triple negative breast cancer (TNBC) were used to develop a nomogram to predict the prognosis of TNBC.

METHODS

Clinicopathological data of 300 patients with TNBC treated between July 2012 and September 2014 were retrospectively reviewed. The endpoint was progression-free survival (PFS). Prognostic factors were screened by multivariate COX regression to develop nomograms. The C-index and calibration curves were used to evaluate the predictive accuracy and discriminatory ability of nomograms.

RESULTS

Of 300 patients with TNBC followed-up for 5 years, 80 (26.7%) had PFS events. Five informative prognostic factors (large size, vertical orientation, posterior acoustic enhancement, lymph node involvement, and high pathological stage) were screened and used to construct a nomogram for PFS. The C-index of the PFS nomogram was 0.88 ( < 0.01, 95% confidence interval, 0.85-0.90), indicating good predictive accuracy.

CONCLUSIONS

We developed and validated a nomogram for predicting PFS in TNBC. Vertical orientation and posterior acoustic enhancement in ultrasound images of TNBC were associated with worse outcomes.

ADVANCES IN KNOWLEDGE

Patients with TNBC have a very poor prognosis and patients have a high risk of recurrence, and our study developed a nomogram based on ultrasound and clinicopathological features for TNBC patients to improve the accuracy of individualized prediction of recurrence and provide help for clinical treatment.

摘要

目的

本研究旨在探讨三阴性乳腺癌(TNBC)患者复发的临床病理和超声特征,以建立预测 TNBC 患者预后的列线图。

方法

回顾性分析 2012 年 7 月至 2014 年 9 月间收治的 300 例 TNBC 患者的临床病理资料,终点事件为无进展生存(PFS)。采用多因素 COX 回归筛选预后因素,建立列线图预测模型。采用 C 指数和校准曲线评估列线图的预测准确性和区分度。

结果

300 例 TNBC 患者随访 5 年,80 例(26.7%)发生 PFS 事件。筛选出 5 个有意义的预后因素(肿瘤较大、垂直生长、后方回声增强、淋巴结转移和高病理分期),并构建了用于预测 PFS 的列线图。该列线图预测 PFS 的 C 指数为 0.88(<0.01,95%置信区间:0.85-0.90),表明预测准确性较高。

结论

本研究建立并验证了预测 TNBC 患者 PFS 的列线图,超声图像上肿瘤的垂直生长方向和后方回声增强与不良结局相关。

知识进展

TNBC 患者预后极差,复发风险高,本研究基于超声和临床病理特征建立了 TNBC 患者的列线图,提高了个体化预测复发的准确性,为临床治疗提供了帮助。