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.…
Impactful Findings from Medical Imaging Research
Dive into a collection of short summaries of recent medical imaging studies that shed light on hot topics such as structured reporting, texture analysis, radiomics, or novel imaging biomarkers. Identify the role mint Lesion ↗ played in these studies and contact us ↗ if you have any questions about our software platform.
Here you will find a detailed list of scientific publications in which mint Lesion has had a significant impact:
Explore the publications
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…
University Hospital Tübingen: Neuro-Oncological Imaging with Deep Learning Reconstruction (DLR)
A recent study conducted by the University Hospital of Tübingen investigated the potential of deep learning reconstruction (DLR) in magnetic resonance…
LMU University Hospital: Software-Assisted Structured Reporting Improves TNM Classification Accuracy in NSCLC Staging
In this multi-center collaboration, thoracic radiology experts developed and evaluated a software-assisted structured reporting (SR) framework for…
University Hospital Cologne: Comparison of iRECIST and RECIST 1.1 for Evaluating Immunotherapy in Melanoma and Non-Small Cell Lung Cancer
A retrospective study conducted at University Hospital Cologne compared two criteria for assessing therapeutic response to immunotherapy: iRECIST and…
LMU Klinikum Munich: Monitoring Prostate Cancer Treatments with VTP and HIFU - The Use of Multiparametric MRI
The prospective study conducted by LMU Klinikum Munich investigates the treatment of localized prostate cancer using two techniques: vascular-targeted…
Heidelberg University Hospital: Delta-Radiomics Features from ADC Maps as Early Predictors of Treatment Success in Lung Cancer Therapy
In this prospective study conducted by Heidelberg University Hospital, researchers investigated whether changes in radiomic features from…
University Hospital Tübingen: Advancing MRI Efficiency in Glioblastoma Care with Deep Learning
This study explores the use of deep learning (DL) to optimize MRI protocols for glioblastoma patients. Glioblastomas, known for being the most…
Heidelberg University Hospital: Key Imaging Features to Distinguish Solid Pseudopapillary Neoplasms from Pancreatic Neuroendocrine Neoplasms
Solid pseudopapillary neoplasms (SPNs), or Frantz tumors, are rare pancreatic tumors accounting for 2-3% of all pancreatic neoplasms. These tumors…
Multicentric Study: Comparison of Diagnostic Guidelines for Hepatocellular Carcinoma
Recent advancements in MRI techniques and tumor biology have led to updated hepatocellular carcinoma (HCC) diagnostic guidelines from various liver…