for Oncological Screening
mint Lesion™ supports radiologists in performing the radiological read for oncological screening. The most frequently used reading profile is PI-RADS v2.1, which includes new, dedicated reading procedures for the assessment of prostate images obtained using multi-parametric MRI, including T2 weighted images, DCE, and DWI (ADC, b-value).
By means of standardized graphical prostata schemes and integrated help with representative images for different scorings, you can easily document and communicate lesion location, as well as the generated lesion scoring according to PI-RADS classification.
for Oncological Staging
mint Lesion™ supports radiologists in performing the radiological read for oncological staging. The TNM classification for malignancies is the most common approach to document the stage of a cancer disease. The staging heavily relies upon significant key observations in medical image data – therefore, radiological reports are crucial for the assessment of potential therapy opportunities.
mint Lesion™ knows about the intricacies of particular criteria and guidelines and automatically determines the stage of disease based on radiological image annotations, classifications, and further clinical parameters. The profiles include a variety of TNM tumor entities, staging and transplant scoring of liver disease.
for Therapy Response Evaluation
mint Lesion™ supports radiologists in performing the follow-up assessment. Therapy monitoring based on standardized criteria are increasingly applied in clinical routine. Meanwhile, more and more oncologists demand results, which were evaluated and assessed in compliance with predefined criteria – e. g. RECIST.
With mint Lesion™, you can conduct such sophisticated evaluations easily and within a short time. Assessments conform with international established standards or follow your adapted guidelines. Furthermore, you do not need to master any statistical analysis, mint Lesion™ performs the interpretation for you automatically.
(TNM 8 and specifics)
- 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
In most cases, very individual
unstructured reports are written in prose.
mint Lesion™ generates holistic and comprehensive reports
with automated determination of clinical results.
Prof. Andrea LaghiSapienza University of Rome
Prof. Dr. Daniele ReggeCandiolo Cancer Institute Turin
Prof. Dr. Ulf TeichgräberUniversity Hospital Jena
Dr. Laurent ChapuisClinique de la Source Lausanne
Prof. Dr. Philippe PereiraSLK Clinics Heilbronn
Prof. Dr. Georg BongartzUniversity Hospital Basel
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
Dr. Remy GeenenNoordwest Ziekenhuisgroep Alkmaar
Prof. Dow-Mu KohThe Royal Marsden NHS Foundation Trust
Prof. Dr. Marika GantenGerman Cancer Research Center
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. Daniel BollUniversity Hospital Basel
Prof. Dr. Werner JaschkeUniversity Hospital Innsbruck
PD Dr. Felix NensaUniversity Hospital Essen
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.