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Categories: Clinical Research

Radiologist reviewing whole-body MRI images with AI-supported tumor burden quantification for bone metastases and multiple myeloma using mint Lesion.
Mint Medical has integrated an AI algorithm developed by The Institute of Cancer Research and The Royal Marsden into mint Lesion. The solution supports bone disease assessment and treatment response evaluation in advanced prostate cancer and multiple myeloma.
The ICR and The Royal Marsden work with Mint Medical to integrate AI-powered software into cancer treatment
The Institute of Cancer Research (ICR), London, and The Royal Marsden NHS Foundation Trust have announced a new licensing agreement with MedTech…
Clinical Research Clinical Routine Bone Lesions AI
Postoperative brain tumor MRI comparing TGSE-BLADE and RESOLVE DWI showing distortion reduction near resection site
A recent study published in the European Journal of Radiology compares TGSE-BLADE DWI with RESOLVE DWI in postoperative brain tumor imaging. TGSE-BLADE demonstrated significantly reduced geometric distortion and artifacts caused by intracranial air, enabling more accurate detection of ischemic changes and improving diagnostic confidence in early postoperative MRI.
University Hospital Tübingen: Improving Postoperative Brain Tumor MRI: TGSE-BLADE vs. RESOLVE DWI
Early MRI scans are critical for patients who have just undergone brain tumor resection to evaluate the surgery's success and plan future treatments.…
Research with mint mintLesion Clinical Research Neuro Therapy Response Assessment
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…
Clinical Research Multi-site Clinical Trials
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…
Research with mint mintLesion Clinical Research PET
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…
Success Story Interview mintLesion Clinical Research Multi-center Research Interdisciplinary Communication RACOON Structured Reporting