Quibim helps optimise radiology workflow with AI-based medical reports to enhance prostate cancer detection
Advances in MRI technology have significantly enhanced the ability to detect and characterise prostate tumours. The PI-RADS v2.1 reporting system aims to improve the detection, localisation, characterisation and risk stratification of lesions in treatment-naïve prostate glands, streamlining communication between clinicians and radiologists.
QP-Prostate, an AI-powered solution from Quibim, is designed to enhance the accuracy, efficiency and consistency of prostate MRI examinations. It automates post processing tasks, provides objective measurements, and accelerates segmentation and reporting time. The QP-Prostate viewer enables ROI management and annotations for the whole gland and suspicious findings, visualised on DICOM workstations or in the PACS.
The structured report in PI-RADS v2.1 format offers pre-populated information, including patient history, technical details, prostate gland volume, PI-RADS scoring template, automated ROI metrics, and space for radiology conclusions with image selection. Quibim says this streamlines the report generation process, enabling radiologists to efficiently generate reports describing findings, their significance and further evaluation or treatment recommendations.
“Using the reports generated by QP-Prostate, radiologists gain more time for other essential tasks, reducing turnaround times for report results. In addition, QP-Prostate can be tailored to meet each hospital’s requirements,” the company concludes.
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