Structured radiology report

Clear, consistent, and complete documentation of imaging-derived information

The radiology report is expected to provide information that impacts life changing treatment decisions at every cancer care step in which imaging is required. However, recent literature demonstrates that very often this information is disregarded.   The current clinical practice shows that reports consistently omits…

assessed and analyzed imaging and clinical data

Real-world data to enhance clinical trial evidence

In randomized controlled trials (RCTs), a vast proportion of patients does not meet the precise inclusion criteria. In oncology, for example, two-thirds of the patients are not represented by current RCTs [1]. Real-world data (RWD) studies can provide supplementary information from groups of patients who…

Software GUI showing two examples of tumor measurements and texture analysis

Research with mint: Study shows prediction power of clinical and CT imaging biomarkers

A recent retrospective study [1] conducted by researchers at University Hospital Tuebingen focused on identifying imaging and clinical predictors of overall survival and treatment response in patients with metastatic melanoma undergoing immunotherapy.   Advances in immunotherapy have improved the prognosis for metastatic melanoma patients. However,…

Recording of RSNA 2019 AI theater presentation | Power food for AI

At this year’s RSNA, Mint Medical presented its AI approach to the audience at the AI theater. Tobias Gottmann and Aditya Jayaram highlighted how every radiological read can contribute to an AI-powered future by seeding power food for AI.   Having mint Lesion in place,…

Data-driven healthcare through FIHR®-enabled interoperability

Nowadays, it is not unusual for healthcare systems to use numerous clinical applications from different vendors. Most tend to prefer flexibility for own functionality over interoperability with other systems.   To alleviate that, the Fast Healthcare Interoperability Resources (FHIR®) created a set of rules on…

mint Lesion radiomics leverage precision medicine

The benefits that texture analysis and radiomics have shown already, and the improved availability of large data sets led to an increased interest in the extraction of quantitative features from medical images. Through quantification, images are converted into mineable data that, subsequently analyzed, improve diagnostic…

Enhanced value of health data through Common Data Elements (CDE)

Today, it is generally agreed that standardized language used in radiology reports improves communication with the treatment team and patients, with a huge impact on decision making and patient outcomes. Furthermore, using standardized forms to create consistent reports, helps to save time and effort while…

Home of excellence for cancer care innovation

In a multidisciplinary center that networks medical research, natural sciences, engineering sciences, computer science and business administration, in the Research Campus M²OLIE (“Mannheim Molecular Intervention Environment”) new methods are developed for molecular imaging, diagnostics and therapeutic intervention of oligometastatic patients in daily clinical practice.  …