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Advancements in Oncology with Artificial Intelligence—A Review Article
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In: Cancers; Volume 14; Issue 5; Pages: 1349 (2022)
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Management and Outcome of Young Women (≤40 Years) with Breast Cancer in Switzerland
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In: Cancers; Volume 14; Issue 5; Pages: 1328 (2022)
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Metaphors of cancer in the Arabic language: An analysis of the use of metaphors in the online narratives of breast cancer patients
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In: Open Linguistics, Vol 8, Iss 1, Pp 27-45 (2022) (2022)
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Assessment of the Relevance of a Breast Cancer Rehabilitation Program based on a Neutrosophic Linguistic Scale ...
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Assessment of the Relevance of a Breast Cancer Rehabilitation Program based on a Neutrosophic Linguistic Scale ...
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Assessment of the Relevance of a Breast Cancer Rehabilitation Program based on a Neutrosophic Linguistic Scale ...
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Assessment of the Relevance of a Breast Cancer Rehabilitation Program based on a Neutrosophic Linguistic Scale ...
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Incorporating the Breast Imaging Reporting and Data System Lexicon with a Fully Convolutional Network for Malignancy Detection on Breast Ultrasound
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In: Diagnostics; Volume 12; Issue 1; Pages: 66 (2021)
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| 11 |
Assessing PD-L1 Expression Status Using Radiomic Features from Contrast-Enhanced Breast MRI in Breast Cancer Patients: Initial Results
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In: Cancers; Volume 13; Issue 24; Pages: 6273 (2021)
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| 12 |
Culture and breast cancer surgical decisions and experiences
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| 13 |
Characterization of circulating breast cancer cells with tumorigenic and metastatic capacity
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In: ISSN: 1757-4676 ; EISSN: 1757-4684 ; EMBO Molecular Medicine ; https://hal.archives-ouvertes.fr/hal-03602489 ; EMBO Molecular Medicine, Wiley Open Access, 2020, 12 (9), pp.e11908. ⟨10.15252/emmm.201911908⟩ (2020)
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| 14 |
Breast cancer patients' language use across four stages ...
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| 15 |
Pattern Recognition of Non-Mass Enhancements on Breast MRI – A Pictorial Review with Radiologic-Pathologic Correlation. ...
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Role of BD4BREAST in supporting the categorization of mammographic findings according to the BI-RADS mammographic lexicon ...
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Can MRI Biomarkers Predict Triple-Negative Breast Cancer?
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In: Diagnostics; Volume 10; Issue 12; Pages: 1090 (2020)
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Abstract:
The purpose of this study was to investigate MRI features of triple-negative breast cancer (TNBC) compared with non-TNBC, to predict histopathological results. In the study, 26 patients with TNBC and 24 with non-TNBC who underwent multiparametric MRI of the breast on a 3 T magnet over a 10-months period were retrospectively recruited. MR imaging sets were evaluated by two experienced breast radiologists in consensus and classified according to the 2013 American College of Radiology (ACR) BI-RADS lexicon. The comparison between the two groups was performed using the Chi-square test and followed by logistic regression analyses. We found that 92% of tumors presented as mass enhancements (p = 0.192). 41.7% of TNBC and 86.4% of non-TNBC had irregular shape (p = 0.005); 58.3% of TNBC showed circumscribed margins, compared to 9.1% of non-TNBC masses (p = 0.001); 75% of TNBC and 9.1% of non-TNBC showed rim enhancement (p < 0.001). Intralesional necrosis was significantly associated with TNBC (p = 0.016). Rim enhancement and intralesional necrosis risulted to be positive predictors at univariate analysis (OR = 29.86, and 8.10, respectively) and the multivariate analysis confirmed that rim enhancement is independently associated with TNBC (OR = 33.08). The mean ADC values were significantly higher for TNBC (p = 0.011). In conclusion, TNBC is associated with specific MRI features that can be possible predictors of pathological results, with a consequent prognostic value.
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Keyword:
3 T MRI; breast cancer prognostic factors; DWI; triple-negative breast cancer
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URL: https://doi.org/10.3390/diagnostics10121090
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| 18 |
Exploring Intimacy in Collaborative Photographic Narratives of Breast Cancer
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In: Humanities ; Volume 9 ; Issue 1 (2020)
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| 19 |
Using artificial intelligence to analyse and teach communication in healthcare
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In: Breast (2020)
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| 20 |
Genetic testing and eHealth usage among Deaf women.
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In: Journal of genetic counseling, vol 28, iss 5 (2019)
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