AIMC Topic: Immunohistochemistry

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Using a convolutional neural network for classification of squamous and non-squamous non-small cell lung cancer based on diagnostic histopathology HES images.

Scientific reports Dec 13, 2021
Histological stratification in metastatic non-small cell lung cancer (NSCLC) is essential to properly guide therapy. Morphological evaluation remains the basis for subtyping and is completed by additional immunohistochemistry labelling to confirm the...
Sensitivity and Specificity Carcinoma, Non-Small-Cell Lung Image Interpretation, Computer-Assisted Immunohistochemistry Humans Machine Learning Software Carcinoma, Squamous Cell
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Detecting immunotherapy-sensitive subtype in gastric cancer using histologic image-based deep learning.

Scientific reports Nov 22, 2021
Immune checkpoint inhibitor (ICI) therapy is widely used but effective only in a subset of gastric cancers. Epstein-Barr virus (EBV)-positive and microsatellite instability (MSI) / mismatch repair deficient (dMMR) tumors have been reported to be high...
DNA Mismatch Repair Immunohistochemistry Genome, Human Lymphocytosis Machine Learning Treatment Outcome Software Herpesvirus 4, Human Algorithms Area Under Curve Databases, Factual Microsatellite Instability Reproducibility of Results Stomach Neoplasms Humans Deep Learning Neural Networks, Computer Immunotherapy
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Accurate diagnosis and prognosis prediction of gastric cancer using deep learning on digital pathological images: A retrospective multicentre study.

EBioMedicine Oct 19, 2021
BACKGROUND: To reduce the high incidence and mortality of gastric cancer (GC), we aimed to develop deep learning-based models to assist in predicting the diagnosis and overall survival (OS) of GC patients using pathological images.
Humans Algorithms Male Deep Learning ROC Curve Image Processing, Computer-Assisted Retrospective Studies Female Stomach Neoplasms Biomarkers, Tumor Immunohistochemistry Area Under Curve Pathology, Molecular Neoplasm Staging Neoplasm Grading
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Leveraging advances in immunopathology and artificial intelligence to analyze in vitro tumor models in composition and space.

Advanced drug delivery reviews Sep 1, 2021
Cancer is the leading cause of death worldwide. Unfortunately, efforts to understand this disease are confounded by the complex, heterogenous tumor microenvironment (TME). Better understanding of the TME could lead to novel diagnostic, prognostic, an...
Immunohistochemistry Cell Culture Techniques Tumor Microenvironment Animals Neoplasms Models, Biological Humans Artificial Intelligence
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Domain Adaptation-Based Deep Learning for Automated Tumor Cell (TC) Scoring and Survival Analysis on PD-L1 Stained Tissue Images.

IEEE transactions on medical imaging Aug 31, 2021
We report the ability of two deep learning-based decision systems to stratify non-small cell lung cancer (NSCLC) patients treated with checkpoint inhibitor therapy into two distinct survival groups. Both systems analyze functional and morphological p...
Deep Learning Lung Neoplasms B7-H1 Antigen Carcinoma, Non-Small-Cell Lung Survival Analysis Immunohistochemistry Humans Biomarkers, Tumor
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DeepHistoClass: A Novel Strategy for Confident Classification of Immunohistochemistry Images Using Deep Learning.

Molecular & cellular proteomics : MCP Aug 21, 2021
A multitude of efforts worldwide aim to create a single-cell reference map of the human body, for fundamental understanding of human health, molecular medicine, and targeted treatment. Antibody-based proteomics using immunohistochemistry (IHC) has pr...
Workflow Image Processing, Computer-Assisted Humans Immunohistochemistry Testis Male Proteins Deep Learning Bayes Theorem
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Can AI-assisted microscope facilitate breast HER2 interpretation? A multi-institutional ring study.

Virchows Archiv : an international journal of pathology Jul 19, 2021
The level of human epidermal growth factor receptor-2 (HER2) protein and gene expression in breast cancer is an essential factor in judging the prognosis of breast cancer patients. Several investigations have shown high intraobserver and interobserve...
Receptor, ErbB-2 Carcinoma, Ductal, Breast Female Image Interpretation, Computer-Assisted Reproducibility of Results Breast Neoplasms Observer Variation Biomarkers, Tumor Immunohistochemistry Humans China Artificial Intelligence Predictive Value of Tests Automation, Laboratory Microscopy Retrospective Studies In Situ Hybridization, Fluorescence
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The human-in-the-loop: an evaluation of pathologists' interaction with artificial intelligence in clinical practice.

Histopathology May 30, 2021
AIMS: One of the major drivers of the adoption of digital pathology in clinical practice is the possibility of introducing digital image analysis (DIA) to assist with diagnostic tasks. This offers potential increases in accuracy, reproducibility, and...
Reproducibility of Results Breast Neoplasms Biomarkers, Tumor Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Pathologists Data Accuracy Observer Variation Humans Artificial Intelligence Research Design Retrospective Studies Immunohistochemistry Calibration Ki-67 Antigen Pathology, Clinical
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Artificial intelligence for advance requesting of immunohistochemistry in diagnostically uncertain prostate biopsies.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc May 20, 2021
The use of immunohistochemistry in the reporting of prostate biopsies is an important adjunct when the diagnosis is not definite on haematoxylin and eosin (H&E) morphology alone. The process is however inherently inefficient with delays while waiting...
Pathology, Clinical Humans Automation, Laboratory Male Workflow Deep Learning Image Interpretation, Computer-Assisted Prostatic Neoplasms Immunohistochemistry Biopsy
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Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning.

Laboratory investigation; a journal of technical methods and pathology May 18, 2021
Delayed graft function (DGF) is a strong risk factor for development of interstitial fibrosis and tubular atrophy (IFTA) in kidney transplants. Quantitative assessment of inflammatory infiltrates in kidney biopsies of DGF patients can reveal predicti...
Biopsy Immunohistochemistry Transplantation Immunology Humans Deep Learning Aged Kidney Transplantation Kidney Adult Female Inflammation Male Renal Insufficiency, Chronic Middle Aged
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