ArticleScientific reports2020
Mammographic tumour appearance is related to clinicopathological factors and surrogate molecular breast cancer subtype.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- AI software as a third reader in breast cancer screening-a prospective diagnostic observational study.European radiology · 2026Observational
- The potential association between degree of mammographic spiculation and prognosis.Insights into imaging · 2026Article
- Impact of Prior Mammograms on Radiologists and Radiographers' Detection of Different Breast Cancer Lesion Types.Journal of medical radiation sciences · 2025Article
- A head-to-head comparison of breast lesion's conspicuity at contrast-enhanced mammography and contrast-enhanced MRI.European radiology · 2025Article
- Development of radiomics-based models on mammograms with mass lesions to predict prognostically relevant characteristics of invasive breast cancer in a screening cohort.British journal of cancer · 2025Article
- Case Report: Late simultaneous metastasis of renal clear cell carcinoma to the ampulla and breast.Frontiers in oncology · 2025Article
- Breast cancer recurrence in relation to mode of detection: implications on personalized surveillance.Breast cancer research and treatment · 2025Article
- Prediction of HER2 expression in breast cancer patients based on multi-parametric MRI intratumoral and peritumoral radiomics features combined with clinical and imaging indicators.Frontiers in oncology · 2025Article
- Mammographic features differ with body composition in women with breast cancer.European radiology · 2025Article
- WHO-recommended levels of physical activity in relation to mammographic breast density, mammographic tumor appearance, and mode of detection of breast cancer.Breast cancer research : BCR · 2024Article
- The Landscape of Breast Cancer Molecular and Histologic Subtypes in Canada.Current oncology (Toronto, Ont.) · 2024Article
- Deep learning modeling using mammography images for predicting estrogen receptor status in breast cancer.American journal of translational research · 2024Article
- Mammographic assessment of breast density as a tool for predicting the response to neoadjuvant therapy in breast cancer patients.Medicine and pharmacy reports · 2024Article
- Preliminary study on DCE-MRI radiomics analysis for differentiation of HER2-low and HER2-zero breast cancer.Frontiers in oncology · 2024Article
- Secondary Breast Malignancy from Renal Cell Carcinoma: Challenges in Diagnosis and Treatment-Case Report.Diagnostics (Basel, Switzerland) · 2023Article
- Application of preoperative ultrasound features combined with clinical factors in predicting HER2-positive subtype (non-luminal) breast cancer.BMC medical imaging · 2021Article
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6 authors.
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Abstract
Mammographic tumour appearance may provide prognostic useful information. For example, spiculation indicates invasiveness, but also better survival compared to tumours with other appearances. We aimed to study the relationship between mammographic tumour appearance and established clinicopathological factors, including surrogate molecular breast cancer subtypes, in the large Malmö Diet and Cancer Study. A total of 1116 women with invasive breast cancer, diagnosed between 1991 and 2014, were included. Mammographic tumour appearance in relation to status for oestrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2, histological grade, Ki67 and molecular subtype was analysed using various regression models. All models were adjusted for relevant confounders, including breast density, which can affect mammographic appearance. The results consistently showed that spiculated tumours are indicative of favourable characteristics, as they are more likely to be ER and PR positive, and more often exhibit lower histological grade and lower Ki67 expression. Furthermore, spiculated tumours tend to be of luminal A-like subtype, which is associated with a good prognosis. The establishment of associations between mammographic tumour appearance and clinico-pathological factors may aid in characterizing breast cancer at an earlier stage. This could contribute to more individualized breast cancer treatment in the future.
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