Computer-aided detection has become the means to an unusual end for Median Technologies. The software firm, based in Biot, France, is building on a foundation of CAD technologies to develop a suite of software applications to quantify, volumetrically observe, and follow lesions over time.
Computer-aided detection has become the means to an unusual end for Median Technologies. The software firm, based in Biot, France, is building on a foundation of CAD technologies to develop a suite of software applications to quantify, volumetrically observe, and follow lesions over time.
"Our goals are to provide clinical added value and productivity to the end user," said Michael Auffret, vice president of product management at Median.
Those goals are already being achieved by practitioners in Europe. Median has introduced lesion management systems (LMS) for the lung, colon, and liver. They have been installed in clinical settings in Europe but have not yet been approved for use in the U.S. by the FDA. That is expected later this year.
Much of the work leading up to these products' release has come from 10 years of European collaborations, including a continuing relationship with the École Polytechnique Fédérale de Lausanne and eight years of working with Focus Imaging Europe, a PACS-on-demand and CAD company, and HealthCenter Europe.
"We are not starting from technology that has been used for other applications, such as the military industry," Auffret said. "We have been working in the medical industry for more than 10 years. The people in the company have a lot of experience in medical imaging and work very closely with radiologists."
All three lesion management systems are developed from a Web-based medical image analysis system that can be integrated into existing information management infrastructure, including PACS workstations. LMS-Lung highlights solid as well as nonsolid or mixed lesions associated with a high prevalence of malignancy. The software identifies regions of interest (ROIs) that can harbor small metastases. The segmentation option measures key characteristics of lung lesions, such as volume, length, width, diameter, and density.
LMS-Colon presents ROIs in the lumen of the colon that are similar in shape and density to polyps. It provides 3D reconstruction and volume and density measurements of lesions. It displays CT colonography studies in prone-supine visualization, as well as interactive multiplanar and 2D/3D. It also offers a large set of window settings and measurement tools.
LMS-Liver tabulates findings based on Response Evaluation Criteria in Solid Tumor measures. It also quantifies hepatic lesions according to volume and the largest diameter.
All three products also automatically register past and present examinations to compare lesion changes over time.
"We can evaluate solid lesions and the patient's response to treatment, and we can provide these kinds of tabulated results on the liver, lungs, and other lesions," Auffret said.
Emerging AI Algorithm Shows Promise for Abbreviated Breast MRI in Multicenter Study
April 25th 2025An artificial intelligence algorithm for dynamic contrast-enhanced breast MRI offered a 93.9 percent AUC for breast cancer detection, and a 92.3 percent sensitivity in BI-RADS 3 cases, according to new research presented at the Society for Breast Imaging (SBI) conference.
The Reading Room Podcast: Current Perspectives on the Updated Appropriate Use Criteria for Brain PET
March 18th 2025In a new podcast, Satoshi Minoshima, M.D., Ph.D., and James Williams, Ph.D., share their insights on the recently updated appropriate use criteria for amyloid PET and tau PET in patients with mild cognitive impairment.
Can Abbreviated Breast MRI Have an Impact in Assessing Post-Neoadjuvant Chemotherapy Response?
April 24th 2025New research presented at the Society for Breast Imaging (SBI) conference suggests that abbreviated MRI is comparable to full MRI in assessing pathologic complete response to neoadjuvant chemotherapy for breast cancer.
Clarius Mobile Health Unveils Anterior Knee Feature for Handheld Ultrasound
April 23rd 2025The T-Mode Anterior Knee feature reportedly offers a combination of automated segmentation and real-time conversion of grayscale ultrasound images into color-coded visuals that bolster understanding for novice ultrasound users.