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Median enhances cancer lesion software
Median Technologies has updated its Median LMS (Lesion Management Solution) software toevaluate, follow and report on changes involving of cancerous lesions seen on CT images from the neck to the pelvis.
Median Technologies has updated its Median LMS (Lesion Management Solution) software to
evaluate, follow and report on changes involving of cancerous lesions seen on CT images from the neck to the pelvis. The enhanced software, slated to debut at RSNA 2009, generates a single report for the quantitative management of patient response to therapy, according to the company. It is designed for routine clinical use, as well as in multicenter clinical trials. Median LMS automates the initial evaluation and follow-up of cancerous lesions identified in CT images of the thorax, abdomen and pelvis, automatically generating a standardized oncologic report and centralizing all lesion information. In so doing, it helps in the assessment of patient response to therapy, assisting in an evaluation of the effectiveness drugs. This can be especially important in clinical trials, when experimental drugs require standardized measurement and reporting of target lesion response, according to the company.
FDA Approves Fluorescence Imaging System for Detecting Residual Breast Cancer
April 18th 2024The combination of the optical imaging agent Lumisight and the fluorescence imaging device Lumicell Direct Visualization System, collectively known as LumiSystem, reportedly offers 84 percent accuracy with real-time detection of residual breast cancer after lumpectomy procedures.
Study of Ofatumumab for Multiple Sclerosis Shows 'Profoundly Suppressed MRI Lesion Activity'
April 17th 2024The use of continuous ofatumumab in patients within three years of a relapsing multiple sclerosis diagnosis led to substantial reductions in associated lesions on brain MRI scans, according to research recently presented at the American Academy of Neurology (AAN) conference.
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
April 15th 2024Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.
