AIMC Topic: Microsatellite Instability
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Deep Learning Algorithm‑Based MRI Radiomics and Pathomics for Predicting Microsatellite Instability Status in Rectal Cancer: A Multicenter Study.
Academic radiology
Sep 16, 2024
RATIONALE AND OBJECTIVES: To develop and validate multimodal deep-learning models based on clinical variables, multiparametric MRI (mp-MRI) and hematoxylin and eosin (HE) stained pathology slides for predicting microsatellite instability (MSI) status...
From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology.
Nature protocols
Sep 16, 2024
Hematoxylin- and eosin-stained whole-slide images (WSIs) are the foundation of diagnosis of cancer. In recent years, development of deep learning-based methods in computational pathology has enabled the prediction of biomarkers directly from WSIs. Ho...
Social network analysis of cell networks improves deep learning for prediction of molecular pathways and key mutations in colorectal cancer.
Medical image analysis
Jan 5, 2024
Colorectal cancer (CRC) is a primary global health concern, and identifying the molecular pathways, genetic subtypes, and mutations associated with CRC is crucial for precision medicine. However, traditional measurement techniques such as gene sequen...
Microsatellite Instability, Mismatch Repair, and Tumor Mutation Burden in Lung Cancer.
Surgical pathology clinics
Dec 20, 2023
Since US Food and Drug Administration approval of programmed death ligand 1 (PD-L1) as the first companion diagnostic for immune checkpoint inhibitors (ICIs) in non-small cell lung cancer, many patients have experienced increased overall survival. To...
Deep Learning Can Predict Bevacizumab Therapeutic Effect and Microsatellite Instability Directly from Histology in Epithelial Ovarian Cancer.
Laboratory investigation; a journal of technical methods and pathology
Sep 22, 2023
Epithelial ovarian cancer (EOC) remains a significant cause of mortality among gynecologic cancers, with the majority of cases being diagnosed at an advanced stage. Before targeted therapies were available, EOC treatment relied largely on debulking s...
Deep learning-based methods for classification of microsatellite instability in endometrial cancer from HE-stained pathological images.
Journal of cancer research and clinical oncology
May 7, 2023
BACKGROUND: Microsatellite instability (MSI) is one of the essential tumor biomarkers for cancer treatment and prognosis. The presence of more significant PD-L1 expression on the surface of tumor cells in endometrial cancer with MSI suggests that MSI...
Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study.
Cell reports. Medicine
Mar 22, 2023
Deep learning (DL) can predict microsatellite instability (MSI) from routine histopathology slides of colorectal cancer (CRC). However, it is unclear whether DL can also predict other biomarkers with high performance and whether DL predictions genera...
DeltaMSI: artificial intelligence-based modeling of microsatellite instability scoring on next-generation sequencing data.
BMC bioinformatics
Mar 1, 2023
BACKGROUND: DNA mismatch repair deficiency (dMMR) testing is crucial for detection of microsatellite unstable (MSI) tumors. MSI is detected by aberrant indel length distributions of microsatellite markers, either by visual inspection of PCR-fragment ...
Deep learning image analysis quantifies tumor heterogeneity and identifies microsatellite instability in colon cancer.
Journal of surgical oncology
Oct 17, 2022
BACKGROUND AND OBJECTIVES: Deep learning utilizing convolutional neural networks (CNNs) applied to hematoxylin & eosin (H&E)-stained slides numerically encodes histomorphological tumor features. Tumor heterogeneity is an emerging biomarker in colon c...
PPsNet: An improved deep learning model for microsatellite instability high prediction in colorectal cancer from whole slide images.
Computer methods and programs in biomedicine
Aug 28, 2022
BACKGROUND AND OBJECTIVE: Recent studies have shown that colorectal cancer (CRC) patients with microsatellite instability high (MSI-H) are more likely to benefit from immunotherapy. However, current MSI testing methods are not available for all patie...
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