Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
LGC Clinical Diagnostics

Download Mobile App




AI Model for Brain Tumor Classification Advances Neuropathology

By LabMedica International staff writers
Posted on 28 Dec 2023
Print article
Image: Ten examples of classification results on the external testing sets (Photo courtesy of Nature Communications, 2023)
Image: Ten examples of classification results on the external testing sets (Photo courtesy of Nature Communications, 2023)

Diffuse gliomas, which comprise a large portion of malignant brain tumors in adults, include various types such as astrocytoma, oligodendroglioma, and glioblastoma. Diagnosing these types of gliomas traditionally relies on an analysis that integrates histological characteristics with molecular details, a method that presents significant complexities when attempting to develop a comprehensive diagnostic model from whole-slide images (WSIs). The immense gigapixel resolution of WSIs renders the use of standard convolutional neural networks for analysis impractical. To address this challenge, researchers have now introduced a novel integrated diagnostic model that can automatically classify adult-type diffuse gliomas directly from unannotated standard whole-slide pathological images, eliminating the need for additional molecular testing.

Researchers from the Chinese Academy of Sciences (CAS, Beijing, China) have devised this deep learning model capable of parsing WSIs and categorizing gliomas without the need for detailed manual annotations. This model adheres to the strict classification guidelines outlined in the 2021 fifth edition of the World Health Organization Classification of Tumors of the Central Nervous System. The model underwent training and validation across a diverse dataset comprising 2,624 patient cases collected from three different hospitals.

The model's effectiveness was evaluated based on its classification accuracy, sensitivity to various glioma types and grades, and its capability to differentiate between genotypes that exhibit similar histological characteristics. The outcomes of the experiments indicate that the model demonstrates robust performance, with all areas under the receiver operator curve exceeding 0.90. This performance was noted in its ability to classify major tumor types, identify tumor grades within each type, and, notably, distinguish between tumor genotypes that share the same histological features.

"Our integrated diagnosis model has the potential to be used in clinical scenarios for automated and unbiased classification of adult-type diffuse gliomas," said CAS Prof. Li Zhicheng who led the research team. "The future research will focus on improving this model to have multi-center, multi-racial datasets."

Related Links:
Chinese Academy of Sciences

Gold Member
Flocked Fiber Swabs
Puritan® Patented HydraFlock®
Verification Panels for Assay Development & QC
Seroconversion Panels
New
cTnI/CK-MB/Myo Test
Finecare cTnI/CK-MB/Myo Rapid Quantitative Test
New
Uric Acid and Blood Glucose Meter
URIT-10

Print article

Channels

Clinical Chemistry

view channel
Image: The tiny clay-based materials can be customized for a range of medical applications (Photo courtesy of Angira Roy and Sam O’Keefe)

‘Brilliantly Luminous’ Nanoscale Chemical Tool to Improve Disease Detection

Thousands of commercially available glowing molecules known as fluorophores are commonly used in medical imaging, disease detection, biomarker tagging, and chemical analysis. They are also integral in... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Microbiology

view channel
Image: The lab-in-tube assay could improve TB diagnoses in rural or resource-limited areas (Photo courtesy of Kenny Lass/Tulane University)

Handheld Device Delivers Low-Cost TB Results in Less Than One Hour

Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more

Technology

view channel
Image: The HIV-1 self-testing chip will be capable of selectively detecting HIV in whole blood samples (Photo courtesy of Shutterstock)

Disposable Microchip Technology Could Selectively Detect HIV in Whole Blood Samples

As of the end of 2023, approximately 40 million people globally were living with HIV, and around 630,000 individuals died from AIDS-related illnesses that same year. Despite a substantial decline in deaths... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.