jump to content jump to footer
Medical professional reviewing patient's MRI images on computer monitor with patient in MRI machine in background.
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.

Postoperative Brain MRI After Tumor Resection: Reducing Artifacts and Improving Diagnostic Accuracy

Postoperative MRI after brain tumor surgery is often affected by artifacts caused by intracranial air, limiting reliable image interpretation.

A recent study shows that TGSE-BLADE DWI significantly reduces image distortion compared to standard RESOLVE techniques.

Using mint Lesion for quantitative analysis, researchers demonstrated near-perfect agreement with T1-weighted reference scans—resulting in improved diagnostic confidence in postoperative imaging.

What are the implications for clinical practice?

Participants at the RECIST and Beyond workshop in Cologne during hands-on training with mint Lesion for structured tumor response assessment.
The two-day “RECIST and Beyond” workshop at radCIO Cologne offered intensive hands-on training on RECIST, iRECIST, mRECIST and LI-RADS, with real-case reporting performed directly in mint Lesion.
Successful “RECIST and Beyond” Workshop in Cologne: Advancing Precision in Oncologic Imaging
How can complex tumor findings be assessed accurately, reproducibly, and in line with clinical guidelines?
Read more
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…
Read more
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,…
Read more
scroll-top