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Software-Assisted Structured Reporting and Semi-Automated TNM Classification for NSCLC Staging in a Multicenter Proof of Concept Study

MCML Authors

Link to Profile Michael Ingrisch PI Matchmaking

Michael Ingrisch

Prof. Dr.

Principal Investigator

Clinical Data Science in Radiology

Abstract

In this multi-center study, we proposed a structured reporting (SR) framework for non-small cell lung cancer (NSCLC) and developed a software-assisted tool to automatically translate image-based findings and annotations into TNM classifications. The aim of this study was to validate the software-assisted SR tool for NSCLC, assess its potential clinical impact in a proof-of-concept study, and evaluate current reporting standards in participating institutions.

article

Insights into Imaging

15.258. Oct. 2024.

Authors

M. M. Heimer • Y. Dikhtyar • B. F. Hoppe • F. L. Herr • A. T. Stüber • T. Burkard • E. Zöller • M. P. Fabritius • L. Unterrainer • L. Adams • A. Thurner • D. Kaufmann • T. Trzaska • M. Kopp • O. Hamer • K. Maurer • I. Ristow • M. S. May • A. Tufman • J. Spiro • M. Brendel • M. Ingrisch • J. Ricke • C. C. Cyran

Links

DOI

Research Area

 C1 | Medicine

BibTeXKey: HDH+24

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