

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
follow-up studies.
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
Response.

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(TNM 8 and specifics)
- Lung
- Colon / Rectum
- Pancreas
- Stomach / Esophagus
- Head / Neck
- Prostate | PI-RADS
- Liver | LI-RADS
- RECIST 1.1
- irRECIST
- imRECIST
- irRC
- Cheson
- CHOI
- PCWG3
- IWCLL
- PERCIST
- RECIST 1.0
- iRECIST
- mRECIST HCC
- mRECIST Mesothelioma
- RANO / RANO-BM
- Lugano
- WHO
- LYRIC
- 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.
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Dr. Daniele ReggeCandiolo Cancer Institute Turin
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Dr. Laurent ChapuisClinique de la Source Lausanne
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PD Dr. Felix NensaUniversity Hospital Essen
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PD Dr. Thorsten PersigehlUniversity Hospital Cologne
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PD Dr. Wolfgang KunzLudwig-Maximilians-University Hospital Munich
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Prof. Andrea LaghiSapienza University of Rome
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Prof. Dow-Mu KohThe Royal Marsden NHS Foundation Trust
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Prof. Dr. Daniel BollUniversity Hospital Basel
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Prof. Dr. Dominik FleischmannStanford University
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Prof. Dr. Elmar KotterUniversity Hospital Freiburg
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Prof. Dr. Georg BongartzUniversity Hospital Basel
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Prof. Dr. Marika GantenGerman Cancer Research Center
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Prof. Dr. Philippe PereiraSLK Clinics Heilbronn

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.