LI-RADS plans makeover for liver cancer diagnoses

Publication
Article
Diagnostic ImagingDiagnostic Imaging Vol 31 No 11
Volume 31
Issue 11

The American College of Radiology's routine announcement about a new committee for liver imaging reporting is the starting point for an ambitious plan to reinvent how radiologists diagnose and evaluate hepatocellular carcinoma.

The American College of Radiology's routine announcement about a new committee for liver imaging reporting is the starting point for an ambitious plan to reinvent how radiologists diagnose and evaluate hepatocellular carcinoma.

The Liver Imaging Reporting and Data System (LI-RADS) addresses frequent complaints from referring physicians about inconsistencies in the interpretation of MR and CT for HCC, according to Dr. Claude Sirlin, LI-RADS committee chair.

The ACR LI-RADS program was announced in October 2009 to discourage other, independent efforts to address the HCC lexicon program, Sirlin said.

Radiologists should not expect to see the LI-RADS lexicon until at least late 2010. Its volunteer committees need time to design and test major components, including:

• a lexicon of terms to describe number, size, shape, and location of hepatic lesions;
• a standard reporting format for MRI and CT; and
• a standardized method for estimating the probability of malignancy based on a lesion’s imaging features.

In the long run, standardization will permit the ACR or other designated groups to download individual reports into a computerized national registry of multi-institutional HCC image reporting experience, Sirlin said. Database evaluations could eventually be used to assess the effect of image interpretation on clinical decision-making and patient outcomes.

Recent Videos
Combining Advances in Computed Tomography Angiography with AI to Enhance Preventive Care
Study: MRI-Based AI Enhances Detection of Seminal Vesicle Invasion in Prostate Cancer
What New Research Reveals About the Impact of AI and DBT Screening: An Interview with Manisha Bahl, MD
Can AI Assessment of Longitudinal MRI Scans Improve Prediction for Pediatric Glioma Recurrence?
A Closer Look at MRI-Guided Adaptive Radiotherapy for Monitoring and Treating Glioblastomas
Incorporating CT Colonography into Radiology Practice
What New Research Reveals About Computed Tomography and Radiation-Induced Cancer Risk
What New Interventional Radiology Research Reveals About Treatment for Breast Cancer Liver Metastases
New Mammography Studies Assess Image-Based AI Risk Models and Breast Arterial Calcification Detection
Can Deep Learning Provide a CT-Less Alternative for Attenuation Compensation with SPECT MPI?
Related Content
© 2025 MJH Life Sciences

All rights reserved.