Literature DB >> 25605153

Correlation between mammograghic findings and clinical/ pathologic features in women with small invasive breast carcinomas.

Jun-Nan Li1, Jing Xu, Ju Wang, Chun Qing, Yu-Mei Zhao, Pei-Fang Liu.   

Abstract

BACKGROUND: To study the relationship between mammographic findings and clinical/pathologic features in women with 1-15mm sized invasive breast cancer.
MATERIALS AND METHODS: We investigated a consecutive series of 134 cases diagnosed in Tianjin Medical University Cancer Institute and Hospital in 2007. Mammographic findings were classified into five groups as follows :1) stellate mass without calcification; 2) non-stellate mass without calcification; 3) intermediate suspicious calcification with or without associated mass; 4) higher probability malignant calcification with or without associated mass; 5) focal asymmetry/distortion without associated calcification. Associations between mammographic and clinical/pathological features (menopause status/family history/histologic grade/lymph node status and ER/PR/HER2 status) was analyzed through logistic regression and chi square tests.
RESULTS: Compared to the stellate mass without calcification group, higher probability malignant calcification patients were associated significantly with a positive lymph node status, always presenting in patients who were non-menopausal and with a family history of carcinoma.
CONCLUSIONS: Higher probability malignant calcifications with or without associated tumor masses are associated with clinical/pathologic features of poor prognosis.

Entities:  

Mesh:

Year:  2014        PMID: 25605153     DOI: 10.7314/apjcp.2014.15.24.10643

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  4 in total

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2.  Sonographic Features of Pure Mucinous Brelast Carcinoma With Micropapillary Pattern.

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Journal:  Front Oncol       Date:  2021-10-22       Impact factor: 6.244

3.  A machine learning model based on ultrasound image features to assess the risk of sentinel lymph node metastasis in breast cancer patients: Applications of scikit-learn and SHAP.

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Journal:  Front Oncol       Date:  2022-07-25       Impact factor: 5.738

4.  Imaging Predictors for Nonsentinel Lymph Node Metastases in Breast Cancer Patients.

Authors:  Yizi Cong; Suxia Wang; Haidong Zou; Shiguang Zhu; Xingmiao Wang; Jianqiao Cao; Ji Wang; Yanqing Liu; Guangdong Qiao
Journal:  Breast Care (Basel)       Date:  2019-10-29       Impact factor: 2.860

  4 in total

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