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Categories: Clinical Research

A collaborative session between a radiologist and an investigator analyzing multicentric trial progress and quantitative imaging data on a centralized dashboard.
Integrated Data Management for Multicentric Imaging in Investigator-Initiated Trials (IITs)

Establishing a Framework for Multicentric Data Coordination

For many investigators, the transition from a single-site study to a multicentric model…

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PET scans of torso with relevant false positives highlighted by red dotted circles, true positives in green
Representative prediction pitfalls in cases with high DSC
LMU University Hospital: Artificial Intelligence for TNM Staging in NSCLC – How Reliable Are AI-Based Segmentations?

The recent study “Artificial intelligence for TNM staging in NSCLC – a critical appraisal of segmentation utility in [¹⁸F]FDG PET/CT” provides a…

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Dr. Madelaine Hettler from University Medical Center Mannheim discusses the RACOON-SAGA project and how it improves sarcoma diagnostics.
The interdisciplinary research project RACOON-SAGA combines functional MRI data and clinical information to enhance the pre-therapeutic characterization of soft tissue sarcomas.
Rare Tumors, Big Goals: How RACOON-SAGA Aims to Improve Therapy Decisions

Rare tumors, major challenges: The RACOON-SAGA project explores how imaging and clinical data can improve the pre-therapeutic characterization of soft…

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Image of Dr. Madelaine Hettler during interview on RACOON-SAGA: interdisciplinary project using MRI parameters (ADC) and clinical data to improve therapy decisions in sarcomas.
In this interview, Dr. Madelaine Hettler explains how functional MRI data—especially ADC—are linked with clinical parameters, why interdisciplinary teamwork matters, and how the study builds robust evidence despite rare cases.
RACOON SAGA: Interdisciplinary Research for Better Therapy Decisions in Sarcoma Treatment

Sarcomas are rare tumors that pose particular challenges to both medicine and research. Their heterogeneity makes precise diagnostics difficult, which…

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