Reproducibility of Ki67 Haralick entropy as a prognostic marker in estrogen receptor–positive HER2-negative breast cancer

Ki67 Haralick entropy is a reproducible and robust image-derived ITH metric in ER+/HER2- BC. It demonstrated improved prognostic modeling performance compared to conventional Ki67% across 2 different DIA platforms and sampling conditions, supporting its potential for clinical implementation.

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Publication Details

Journal
American Journal of Clinical Pathology
Published
2025-08-09
DOI
https://doi.org/10.1093/ajcp/aqaf081
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00

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article

Reproducibility of Ki67 Haralick entropy as a prognostic marker in estrogen receptor–positive HER2-negative breast cancer

Allan G. Rasmusson, Ruta Barbora Valkiuniene, Dovile Zilenaite-Petrulaitiene, Linas Petkevičius et al.
American Journal of Clinical Pathology
Radiomics and Machine Learning in Medical Imaging
article

Reproducibility of Ki67 Haralick entropy as a prognostic marker in estrogen receptor–positive HER2-negative breast cancer

Allan G. Rasmusson, Ruta Barbora Valkiuniene, Dovile Zilenaite-Petrulaitiene, Linas Petkevičius, Arvydas Laurinavičius, Aida Laurinavičienė
article en

Abstract

Ki67 Haralick entropy is a reproducible and robust image-derived ITH metric in ER+/HER2- BC. It demonstrated improved prognostic modeling performance compared to conventional Ki67% across 2 different DIA platforms and sampling conditions, supporting its potential for clinical implementation.

American Journal of Clinical PathologyVol. 164(4)
Vilnius University (LT), Vilnius University of Applied Sciences (LT), Vilnius University Hospital Santariskiu Klinikos (LT)
Lietuvos Mokslo Taryba
Openalex Percentile: Top 71%
Radiomics and Machine Learning in Medical Imaging
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