Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




AI Application in Pathology Reveals Novel Insights in Endometrial Cancer Diagnostics

By LabMedica International staff writers
Posted on 19 Dec 2022

Endometrial carcinoma is the most common cancer of the gynecologic tract. More...

Now, researchers have shown the power of artificial intelligence (AI) can be applied to endometrial carcinoma microscopy images, offering novel insights that could improve diagnosis and treatment of uterine cancer.

In the past years, researchers at Leiden University (Leiden, the Netherlands) had played a leading role in the development of a novel tumor classification system based on molecular alterations, resulting in four endometrial cancer subtypes. This time, the team set out to investigate if it was possible to predict these molecular classes, based on microscopy-images alone. The researchers applied artificial intelligence on microscopy images of thousands of endometrial carcinoma images from patients that participated in the study.

The team developed a model that robustly predicts the four molecular classes of endometrial carcinomas based on one (hematoxylin and eosin)-stained microscopy slide image, which is the standard histological stain used in diagnostics for assessment of tumor grading and histological subtyping. This model was not “a black-box”, but through reverse-engineering the researchers were able to show which image-features were relevant for its predictions. The model provided the team with important novel insights that can be utilized in future studies to further improve diagnostics, prognostication, and management of endometrial cancer patients.

“The application of AI in pathology is emerging,” said Dr. Tjalling Bosse at Leiden University. “In this project we studied the morphology of tumors that shared the same molecular alteration to better understand the effect these changes have on the appearance of the tumor. With this work, the computer model has directed us to areas in- and outside the tumor that are important.”

“In cancer diagnostics, the number of variables (molecular, tumor morphology, patient data) has increased exponentially and has complexified patient prognosis prediction,” added Sarah Fremond. “Through training unbiased AI models, AI predictions can also teach pathologists in return by, for instance, identifying novel morphological details on microscopy slide images with prognostic value.”

Related Links:
Leiden University


New
Gold Member
Immunochromatographic Assay
CRYPTO Cassette
Collection and Transport System
PurSafe Plus®
New
Gold Member
Cardiovascular Risk Test
Metabolic Syndrome Array I & II
New
ESR Analyzer
TEST1 2.0
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Molecular Diagnostics

view channel
Image: Colorectal cancer under the microscope (Photo courtesy of Adobe Stock)

Unique Microbial Fingerprint to Improve Diagnosis of Colorectal Cancer

Colorectal cancer is the fourth most common cancer in the UK and the second deadliest. New research has revealed that it carries a unique microbial fingerprint, which could help doctors better understand... Read more

Hematology

view channel
Image: New research points to protecting blood during radiation therapy (Photo courtesy of 123RF)

Pioneering Model Measures Radiation Exposure in Blood for Precise Cancer Treatments

Scientists have long focused on protecting organs near tumors during radiotherapy, but blood — a vital, circulating tissue — has largely been excluded from dose calculations. Each blood cell passing through... Read more

Immunology

view channel
Image: The VENTANA HER2 (4B5) test is now CE-IVDR approved (Photo courtesy of Roche)

Companion Diagnostic Test Identifies HER2-Ultralow Breast Cancer and Biliary Tract Cancer Patients

Breast cancer is the most common cancer in Europe, with more than 564,000 new cases and 145,000 deaths annually. Metastatic breast cancer is rising in younger populations and remains the leading cause... Read more

Technology

view channel
Image: Conceptual design of the CORAL capsule for microbial sampling in the small intestine (H. Mohammed et al., Device (2025). DOI: 10.1016/j.device.2025.100904)

Coral-Inspired Capsule Samples Hidden Bacteria from Small Intestine

The gut microbiome has been linked to conditions ranging from immune disorders to mental health, yet conventional stool tests often fail to capture bacterial populations in the small intestine.... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.