Comprehensive Analysis of Receptor Status, Histopathological Classifications (B1–B5), and Cumulative Histological Dimensions in Breast Cancer: Predictors of Malignancy and Diagnostic Implications

Our predictive models demonstrate the impact of demographic factors, medical history, diagnostic techniques, and hormone receptor status on breast cancer development and progression, accounting for a significant portion of the variance in malignancy and cumulative histological dimension.

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Publication Details

Journal
Cancers
Published
2024-10-14
DOI
https://doi.org/10.3390/cancers16203471
Citations
2
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.57
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article

Comprehensive Analysis of Receptor Status, Histopathological Classifications (B1–B5), and Cumulative Histological Dimensions in Breast Cancer: Predictors of Malignancy and Diagnostic Implications

Ioan Sas, Anca-Elena Eftenoiu, Aurica Elisabeta Moatar, Simona Cerbu et al.
2 citations
Cancers
Breast Cancer Treatment Studies
0.57
article

Comprehensive Analysis of Receptor Status, Histopathological Classifications (B1–B5), and Cumulative Histological Dimensions in Breast Cancer: Predictors of Malignancy and Diagnostic Implications

Ioan Sas, Anca-Elena Eftenoiu, Aurica Elisabeta Moatar, Simona Cerbu, Ionuț Marcel Cobec, Adrian-Grigore Merce, Oana Maria Burciu
article en
2 citations

Abstract

Our predictive models demonstrate the impact of demographic factors, medical history, diagnostic techniques, and hormone receptor status on breast cancer development and progression, accounting for a significant portion of the variance in malignancy and cumulative histological dimension.

CancersVol. 16(20)
Carol Davila University of Medicine and Pharmacy (RO), Victor Babeș University of Medicine and Pharmacy Timișoara (RO), Krankenhäuser Landkreis Freudenstadt (DE), Institute e-Austria Timisoara (RO)
Good health and well-being
Openalex Percentile: Top 31%
Breast Cancer Treatment Studies
0.57
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