for Site Reads in Clinical Trials
mint Lesion™ supports radiologists in performing the
radiological Site Read for a clinical trial which assesses the
effectiveness of a cancer therapy. An optimized
workflow streamlines your work, e.g. by fast
classification and tracing of lesions throughout all
The validity of the radiological read is ensured by automated
conformity checks which are integrated for every criteria.
By accounting for all parameters required by the
response evaluation criteria of your choice, mint Lesion™
provides detailed response evaluation up to Overall
- Colon / Rectum
- Stomach / Esophagus
- Head / Neck
- Prostate | PI-RADS
- Liver | LI-RADS
- RECIST 1.1
- RECIST 1.0
- mRECIST HCC
- mRECIST Mesothelioma
- RANO / RANO-BM
- RECIST 1.1 / iRECIST
- Customizable Profiles
New targeted therapies play an increasingly significant role in the therapy of cancer patients. This, in combination with advances in medical imaging, results in new opportunities and challenges for the interdisciplinary therapy setting. Prof. Dr. Heinz-Peter Schlemmer, head of the radiology department of the German Cancer Research Center, summarizes the challenges: “Multi-disciplinary therapy approaches, combined with multimodal and multi-parametric imaging procedures and their frequent application during therapy lead to new complexities in the radiological evaluation of oncologic patients.”
A patient example for this is a 48-year-old female patient with malign melanoma of the left thigh… read more
Manually filled template for sponsor
with no link to measured lesions.
mint Lesion™ generates holistic and comprehensive reports
with automated calculation of timepoint response.
Time is not only required for the current follow-up read,
you must first and foremost find and understand the previous reads.
mint Lesion™ automatically synchronizes images and guides the user
to the slice where documented lesions are assumed to be.
No quality checks and control;
high error rate.
mint Lesion™ ensures validity of performed reads
through integrated conformity checks.
Dr. Daniele ReggeCandiolo Cancer Institute Turin
PD Dr. Felix NensaUniversity Hospital Essen
PD Dr. Thorsten PersigehlUniversity Hospital Cologne
The mint Analytics add-on within mint Lesion™ expands one’s structured response assessment by instantaneous visualization of the collected data, as a whole or per individual trial. An added value for radiologists, oncologists, trial centers and sponsors is dedicated trial monitoring and data analysis. mint Analytics has significant potential to accelerate the scientific use of collected imaging data.PD Dr. Wolfgang KunzLudwig-Maximilians-University Hospital Munich
Prof. Andrea LaghiSapienza University of Rome
Prof. Dow-Mu KohThe Royal Marsden NHS Foundation Trust
Prof. Dr. Daniel BollUniversity Hospital Basel
Accurate, reproducible, and standardized assessment of treatment response is of fundamental importance in oncology. A powerful yet easy to use and integrated software such as mint Lesion™ may be exactly what it takes to migrate such a capability from the world of clinical trials to everyday practice of Radiology and Oncology.Prof. Dr. Dominik FleischmannStanford University
Prof. Dr. Elmar KotterUniversity Hospital Freiburg
Prof. Dr. Georg BongartzUniversity Hospital Basel
Prof. Dr. Marika GantenGerman Cancer Research Center
Prof. Dr. Philippe PereiraSLK Clinics Heilbronn
Prof. Dr. Ulf TeichgräberUniversity Hospital Jena
Prof. Dr. Werner JaschkeUniversity Hospital Innsbruck
Start mint Lesion™ directly from your RIS / PACS while preserving the working context. Relevant image data is automatically synchronized with your PACS and results can be integrated into your RIS report.