Managing Advanced Disease with Efficiency
The end-to-end philosophy extends beyond primary diagnosis into the management of advanced prostate cancer. For patients with suspected metastatic spread, mint Lesion provides specialized AI-tools for tumor load quantification in whole-body mpMRI imaging.
In cases of bone metastasis, manual delineation is a tedious and time-consuming process that often takes an hour or more per scan1, making it impractical for routine clinical use. Consequently, without AI support, assessments remain largely qualitative and inherently less precise.
Even semi-automated tools can require between 12 and 23 minutes1 to finalize results. In contrast, the AI-supported workflows within mint Lesion are designed to execute the entire computation pipeline in approximately 90 seconds1. This significant acceleration allows for the completion of the full automated workflow - including pre- and post-treatment analysis and structured reporting - in approximately three minutes1. This functionality supports the rapid assessment of treatment response, providing the tumor board with structured data to evaluate therapy effectiveness within a standard clinical timeframe.
By aligning these distinct clinical phases within a single digital environment, mint Lesion moves the diagnostic process beyond fragmented data toward a unified patient history. This integrated approach supports the clinical team in maintaining consistency from the first image to the final treatment plan, ensuring that every diagnostic contribution remains a visible and accessible part of the patient journey.
Position your expertise at the center of the clinical team with a connected, data-driven workflow. Request a personalized demo to see how you can remain central to the insight.
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1Candito, A., Blackledge, M. D., Holbrey, R. Et al. AI-driven software for automated quantification of skeletal metastases and treatment response evaluation using whole-body diffusion-weighted MRI (WB-DWI) in advanced prostate cancer, Phys. Med. Biol. (2025). https://doi.org/10.1088/1361-6560/ae19c5