Categories: mintLesion

Virtual examination of human lungs on a modern interface screen

Early Detection of Treatment Response in Lung Cancer Using Delta-Radiomics Features

The study conducted by Heidelberg University Hospital investigates the use of diffusion-weighted MRI (DWI) to predict early treatment outcomes in…

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The image serves as a graphical abstract, displaying visuals from the study, ranging from MRI scans to the analysis of delta-radiomics texture features

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…

Personalized Therapy MRI Texture Analysis Clinical Research Therapy Response Assessment Research with mint mintLesion
Doctors looking at MRI scans to evaluate a glioblastoma.

Optimizing Glioblastoma Imaging: Enhancing MRI Efficiency and Quality with Deep Learning

This study investigates the use of deep learning (DL) to optimize MRI protocols for glioblastoma patients, aiming to reduce scan time and improve…

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Three important sequences (FLAIR, T2, T1 with contrast agent) in the assessment of glioblastoma

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…

Neuro Clinical Research Standardized Reading Procedures Research with mint mintLesion
A picture of workshop participants next to a positive review for the ESOI-EORTC RECIST Workshop in Munich

ESOI-EORTC Workshop on Imaging in Assessing Response to Cancer Therapy - A Participant's Perspective

Following the conclusion of the ESOI-EORTC Workshop on Imaging in Assessing Response to Cancer Therapy in Munich, we were keen to gather feedback…

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A diagram and a CT scan visualizing tumor growth rate in patients with refractory or relapsed lymphoma

Study with mint Lesion™ Uncovers the Impact of Tumor Growth Rate in Predicting the Efficacy of CAR-T-cell Therapy in Lymphoma Patients

A recent study conducted by Dr. med. Michael Winkelmann and his colleagues at the LMU Klinikum München explored the association between TGR dynamics…

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Study Analyzing the Tumor Growth Rate as a Prognostic Biomarker in Lymphoma Patients Under CAR T-Cell Therapy

University Hospital Munich (LMU): Study Analyzing the Tumor Growth Rate as a Prognostic Biomarker in Lymphoma Patients Under CAR T-Cell Therapy

A recent study[1] conducted by researchers at the University Hospital Munich (LMU) investigated the role of tumor growth rate (TGR) in predicting the…

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A picture of a person looking at a brain scan and the interface of mint Lesion™ on a computer

Advancing Neuro-Oncology Assessments: Mint Medical to Integrate Newly Published RANO 2.0 Criteria into mint Lesion™

Glioblastomas and other gliomas are the most common malignant primary brain tumor types, yet few effective therapies are available. Clinical research…

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A picture of radiologists looking at a screen showing the restaging of the HNSCC

Study Highlights the Potential of Radiomics in Medical Intervention

A recent study conducted by the Medical University of Innsbruck highlights the potential of radiomics in exploring the impacts of Radiochemotherapy…

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