Cargando…

The evolving role of morphology in endometrial cancer diagnostics: From histopathology and molecular testing towards integrative data analysis by deep learning

Endometrial cancer (EC) diagnostics is evolving into a system in which molecular aspects are increasingly important. The traditional histological subtype-driven classification has shifted to a molecular-based classification that stratifies EC into DNA polymerase epsilon mutated (POLEmut), mismatch r...

Descripción completa

Detalles Bibliográficos
Autores principales:	Fremond, Sarah, Koelzer, Viktor Hendrik, Horeweg, Nanda, Bosse, Tjalling
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433878/ https://www.ncbi.nlm.nih.gov/pubmed/36059702 http://dx.doi.org/10.3389/fonc.2022.928977

Ejemplares similares

Adjuvant therapy for endometrial cancer in the era of molecular classification: radiotherapy, chemoradiation and novel targets for therapy
por: van den Heerik, Anne Sophie V M, et al.
Publicado: (2021)

Performance of a HER2 testing algorithm specific for p53‐abnormal endometrial cancer
por: Vermij, Lisa, et al.
Publicado: (2021)

Tertiary lymphoid structures critical for prognosis in endometrial cancer patients
por: Horeweg, Nanda, et al.
Publicado: (2022)

Deep learning-based morphological feature analysis and the prognostic association study in colon adenocarcinoma histopathological images
por: Xiao, Xiao, et al.
Publicado: (2023)

The Tumor Border Configuration of Colorectal Cancer as a Histomorphological Prognostic Indicator
por: Koelzer, Viktor H., et al.
Publicado: (2014)

Incorporation of molecular characteristics into endometrial cancer management
por: Vermij, Lisa, et al.
Publicado: (2019)

HER2 Status in High-Risk Endometrial Cancers (PORTEC-3): Relationship with Histotype, Molecular Classification, and Clinical Outcomes
por: Vermij, Lisa, et al.
Publicado: (2020)

Evaluating the Microsatellite Instability of Colorectal Cancer Based on Multimodal Deep Learning Integrating Histopathological and Molecular Data
por: Qiu, Wenjing, et al.
Publicado: (2022)

The emerging role of molecular pathology in directing the systemic treatment of endometrial cancer
por: Jamieson, Amy, et al.
Publicado: (2021)

POLE proofreading mutation, immune response and prognosis in endometrial cancer
por: van Gool, Inge C., et al.
Publicado: (2015)

Tumor Budding in Upper Gastrointestinal Carcinomas
por: Koelzer, Viktor H., et al.
Publicado: (2014)

p53 immunohistochemistry in endometrial cancer: clinical and molecular correlates in the PORTEC-3 trial
por: Vermij, Lisa, et al.
Publicado: (2022)

Selecting Adjuvant Treatment for Endometrial Carcinoma Using Molecular Risk Factors
por: Wortman, Bastiaan G., et al.
Publicado: (2019)

Applications of machine and deep learning to thyroid cytology and histopathology: a review
por: Slabaugh, Greg, et al.
Publicado: (2023)

Integrative Analysis of Histopathological Images and Genomic Data in Colon Adenocarcinoma
por: Li, Hui, et al.
Publicado: (2021)

A Deep Learning System to Predict the Histopathological Results From Urine Cytopathological Images
por: Liu, Yixiao, et al.
Publicado: (2022)

Prediction of Tumor Mutation Load in Colorectal Cancer Histopathological Images Based on Deep Learning
por: Liu, Yongguang, et al.
Publicado: (2022)

Cyclooxygenase-2 and β-Catenin as Potential Diagnostic and Prognostic Markers in Endometrial Cancer
por: Deng, Lin, et al.
Publicado: (2020)

Prognostic refinement of NSMP high-risk endometrial cancers using oestrogen receptor immunohistochemistry
por: Vermij, Lisa, et al.
Publicado: (2023)

Qualitative Histopathological Classification of Primary Bone Tumors Using Deep Learning: A Pilot Study
por: Tao, Yuzhang, et al.
Publicado: (2021)

Predicting Tumor Mutational Burden From Lung Adenocarcinoma Histopathological Images Using Deep Learning
por: Niu, Yi, et al.
Publicado: (2022)

Deep learning for the detection of anatomical tissue structures and neoplasms of the skin on scanned histopathological tissue sections
por: Kriegsmann, Katharina, et al.
Publicado: (2022)

Moving towards a unified classification of glioblastomas utilizing artificial intelligence and deep machine learning integration
por: Hill, Ciaran Scott, et al.
Publicado: (2023)

Loss of Cdx2 Expression in Primary Tumors and Lymph Node Metastases is Specific for Mismatch Repair-Deficiency in Colorectal Cancer
por: Dawson, Heather, et al.
Publicado: (2013)

Molecular Classification Predicts Response to Radiotherapy in the Randomized PORTEC-1 and PORTEC-2 Trials for Early-Stage Endometrioid Endometrial Cancer
por: Horeweg, Nanda, et al.
Publicado: (2023)

Corrigendum: Cyclooxygenase-2 and β-Catenin as Potential Diagnostic and Prognostic Markers in Endometrial Cancer
por: Deng, Lin, et al.
Publicado: (2020)

Diagnostic value of the apparent diffusion coefficient in differentiating malignant from benign endometrial lesions
por: Scepanovic, Bojana, et al.
Publicado: (2023)

Corrigendum: Deep learning for the detection of anatomical tissue structures and neoplasms of the skin on scanned histopathological tissue sections
por: Kriegsmann, Katharina, et al.
Publicado: (2023)

Aggregation of cohorts for histopathological diagnosis with deep morphological analysis
por: Park, Jeonghyuk, et al.
Publicado: (2021)

Integrating morphologic and molecular histopathological features through whole slide image registration and deep learning
por: Faust, Kevin, et al.
Publicado: (2022)

An Efficacious Endometrial Sampler for Screening Endometrial Cancer
por: Han, Lu, et al.
Publicado: (2019)

MGL Ligand Expression Is Correlated to Lower Survival and Distant Metastasis in Cervical Squamous Cell and Adenosquamous Carcinoma
por: Sahasrabudhe, Neha M., et al.
Publicado: (2019)

Colorectal Choriocarcinoma in a Patient with Probable Lynch Syndrome
por: Koelzer, Viktor H., et al.
Publicado: (2016)

Evolving trends in the surgical therapy of patients with endometrial cancer in Germany: analysis of a nationwide registry with special emphasis on perioperative outcomes
por: Roth, Katrin, et al.
Publicado: (2023)

Deep Convolutional Neural Network-Based Lymph Node Metastasis Prediction for Colon Cancer Using Histopathological Images
por: Kwak, Min Seob, et al.
Publicado: (2021)

Prevalence and Prognosis of Lynch Syndrome and Sporadic Mismatch Repair Deficiency in Endometrial Cancer
por: Post, Cathalijne C B, et al.
Publicado: (2021)

Clinical-grade endometrial cancer detection system via whole-slide images using deep learning
por: Zhang, Xiaobo, et al.
Publicado: (2022)

Combined deep-learning MRI-based radiomic models for preoperative risk classification of endometrial endometrioid adenocarcinoma
por: Yang, Jin, et al.
Publicado: (2023)

Diagnostic and Prognostic Values of Serum EpCAM, TGM2, and HE4 Levels in Endometrial Cancer
por: Lan, Ting, et al.
Publicado: (2020)

The Oncology Safety of Diagnostic Hysteroscopy in Early-Stage Endometrial Cancer: A Systematic Review and Meta-Analysis
por: Du, Yi, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_7rrrh00466q30p01ddm5d1rro3