Cargando…

Determining breast cancer biomarker status and associated morphological features using deep learning

BACKGROUND: Breast cancer management depends on biomarkers including estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 (ER/PR/HER2). Though existing scoring systems are widely used and well-validated, they can involve costly preparation and variable interpretatio...

Descripción completa

Detalles Bibliográficos
Autores principales:	Gamble, Paul, Jaroensri, Ronnachai, Wang, Hongwu, Tan, Fraser, Moran, Melissa, Brown, Trissia, Flament-Auvigne, Isabelle, Rakha, Emad A., Toss, Michael, Dabbs, David J., Regitnig, Peter, Olson, Niels, Wren, James H., Robinson, Carrie, Corrado, Greg S., Peng, Lily H., Liu, Yun, Mermel, Craig H., Steiner, David F., Chen, Po-Hsuan Cameron
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9037318/ https://www.ncbi.nlm.nih.gov/pubmed/35602213 http://dx.doi.org/10.1038/s43856-021-00013-3

Ejemplares similares

Deep learning models for histologic grading of breast cancer and association with disease prognosis
por: Jaroensri, Ronnachai, et al.
Publicado: (2022)

Artificial intelligence in digital breast pathology: Techniques and applications
por: Ibrahim, Asmaa, et al.
Publicado: (2019)

Interpretable survival prediction for colorectal cancer using deep learning
por: Wulczyn, Ellery, et al.
Publicado: (2021)

Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading
por: Wulczyn, Ellery, et al.
Publicado: (2021)

Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning
por: Krogue, Justin D., et al.
Publicado: (2023)

Deep learning-based survival prediction for multiple cancer types using histopathology images
por: Wulczyn, Ellery, et al.
Publicado: (2020)

Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies
por: Steiner, David F., et al.
Publicado: (2020)

Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images
por: Sadhwani, Apaar, et al.
Publicado: (2021)

Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection
por: Kohlberger, Timo, et al.
Publicado: (2019)

Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer
por: Nagpal, Kunal, et al.
Publicado: (2019)

Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer
por: Nagpal, Kunal, et al.
Publicado: (2019)

The clinical significance of cyclin B1 (CCNB1) in invasive breast cancer with emphasis on its contribution to lymphovascular invasion development
por: Aljohani, Abrar I., et al.
Publicado: (2022)

Potential quality pitfalls of digitalized whole slide image of breast pathology in routine practice
por: Atallah, Nehal M., et al.
Publicado: (2021)

Ki67 assessment in invasive luminal breast cancer: a comparative study between different scoring methods
por: Lashen, Ayat, et al.
Publicado: (2022)

The characteristics and clinical significance of atypical mitosis in breast cancer
por: Lashen, Ayat, et al.
Publicado: (2022)

Improving mitotic cell counting accuracy and efficiency using phosphohistone‐H3 (PHH3) antibody counterstained with haematoxylin and eosin as part of breast cancer grading
por: Ibrahim, Asmaa, et al.
Publicado: (2022)

The clinical and biological significance of HER2 over-expression in breast ductal carcinoma in situ: a large study from a single institution
por: Miligy, Islam M., et al.
Publicado: (2019)

The prognostic significance of BMI1 expression in invasive breast cancer is dependent on its molecular subtypes
por: Althobiti, Maryam, et al.
Publicado: (2020)

Defining the area of mitoses counting in invasive breast cancer using whole slide image
por: Ibrahim, Asmaa, et al.
Publicado: (2021)

Refining the definition of HER2‐low class in invasive breast cancer
por: Atallah, Nehal M, et al.
Publicado: (2022)

RAD50 deficiency is a predictor of platinum sensitivity in sporadic epithelial ovarian cancers
por: Alblihy, Adel, et al.
Publicado: (2020)

Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens
por: Nagpal, Kunal, et al.
Publicado: (2020)

Oestrogen-regulated protein SLC39A6: a biomarker of good prognosis in luminal breast cancer
por: Althobiti, Maryam, et al.
Publicado: (2021)

Similar image search for histopathology: SMILY
por: Hegde, Narayan, et al.
Publicado: (2019)

XRCC1 deficient triple negative breast cancers are sensitive to ATR, ATM and Wee1 inhibitor either alone or in combination with olaparib
por: Ali, Reem, et al.
Publicado: (2020)

Nucleolar protein 10 (NOP10) predicts poor prognosis in invasive breast cancer
por: Elsharawy, Khloud A., et al.
Publicado: (2020)

Clinicopathological and Functional Evaluation Reveal NBS1 as a Predictor of Platinum Resistance in Epithelial Ovarian Cancers
por: Alblihy, Adel, et al.
Publicado: (2021)

The prognostic significance of Flap Endonuclease 1 (FEN1) in breast ductal carcinoma in situ
por: Al-Kawaz, Abdulbaqi, et al.
Publicado: (2021)

Ubiquitin-conjugating enzyme 2C (UBE2C) is a poor prognostic biomarker in invasive breast cancer
por: Kariri, Yousif, et al.
Publicado: (2022)

The frequency and clinical significance of DNA polymerase beta (POLβ) expression in breast ductal carcinoma in situ (DCIS)
por: Al-Kawaz, Abdulbaqi, et al.
Publicado: (2021)

Prolyl-4-hydroxylase Α subunit 2 (P4HA2) expression is a predictor of poor outcome in breast ductal carcinoma in situ (DCIS)
por: Toss, Michael S., et al.
Publicado: (2018)

Differential response of HER2-positive breast cancer to anti-HER2 therapy based on HER2 protein expression level
por: Atallah, N. M., et al.
Publicado: (2023)

The Road to Recovery for Patients with Depression: From Treatment Initiation to Treatment Continuity
por: Kongsakon, Ronnachai
Publicado: (2022)

The prognostic significance of interferon-stimulated gene 15 (ISG15) in invasive breast cancer
por: Kariri, Yousif A., et al.
Publicado: (2020)

Mechanistic and Clinical Evidence Supports a Key Role for Cell Division Cycle Associated 5 (CDCA5) as an Independent Predictor of Outcome in Invasive Breast Cancer
por: Kariri, Yousif A., et al.
Publicado: (2022)

Targeting Mre11 overcomes platinum resistance and induces synthetic lethality in XRCC1 deficient epithelial ovarian cancers
por: Alblihy, Adel, et al.
Publicado: (2022)

A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk
por: Klimov, Sergey, et al.
Publicado: (2019)

Prognostic significance of KN motif and ankyrin repeat domains 1 (KANK1) in invasive breast cancer
por: Kariri, Yousif A., et al.
Publicado: (2019)

The Biological and Clinical Significance of Glutaminase in Luminal Breast Cancer
por: Masisi, Brendah K., et al.
Publicado: (2021)

The prognostic significance of immune microenvironment in breast ductal carcinoma in situ
por: Toss, Michael S., et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_4k2mvm06phmljvsv3dl0snkmvv