jump to content jump to footer

Structured Reporting Improves TNM Classification Accuracy and Radiologist Satisfaction

In a collaborative, multi-center study, radiology experts developed and validated in mint Lesion a software-assisted structured reporting (SR) framework for non-small cell lung cancer (NSCLC) staging.

Findings revealed that SR significantly improved TNM classification accuracy, reducing common errors in T-, N-, and M-staging compared to traditional free-text reports. Radiologists using SR were more likely to classify cases correctly and rated the tool highly for enhancing report quality, completeness, and interdisciplinary communication. This study suggests that SR may not only improve clinical accuracy but also support data standardization for future lung cancer research.

Read a summary of the study here.

BORN Structured Reporting TNM

Related Resources

Screenshot of the mint Lesion interface showing RANO 2.0 configuration, tumor burden calculations, and structured neuro-oncology assessment tools.
mint Lesion fully supports RANO 2.0 implementation with configurable parameters, automated tumor burden calculations, and structured workflows for neuro-oncology clinical trials.
Implementing RANO 2.0 for Neuro-Oncology Clinical Trials in mint Lesion
Tumor response assessment in neuro-oncology clinical trials requires careful attention to measurement protocols and confirmation scan requirements. To…
Image of a patient getting an MRI scan, signifying how RACOON projects in Germany show how imaging, structured reporting, and AI jointly advance clinical research.
Overview of major RACOON projects in radiology and clinical research.
RACOON – Imaging, Data & Collaboration for Better Decisions
Modern radiology faces a central question: how can imaging and clinical data be combined in a way that leads to more precise diagnoses,…
Interview with Prof. Timm Denecke about the RACOON-MARDER project and AI-powered early detection of liver cancer using MRI
An in-depth interview with Prof. Timm Denecke about the RACOON-MARDER project
Rethinking Early Detection: How RACOON-MARDER Aims to Spot Liver Cancer Sooner
Hepatocellular carcinoma (HCC) is often diagnosed too late, limiting treatment options and survival. The RACOON-MARDER project aims to change that. By…