CT radiomics help characterize retroperitoneal sarcomas

CT radiomics can help clinicians predict the histological type and grade of retroperitoneal sarcomas, a study published in the November issue of The Lancet Oncology has found.The results could have "important implications for improving diagnosis and risk stratification" of these cancers, wrote a team led by Amani Arthur, MD, of the Institute of Cancer Research in London, U.K."Our radiomics model to predict histological subtype and grade presents a conceptual advance and an opportunity for a change in personalized care for patients with retroperitoneal sarcoma," the group noted.Retroperitoneal sarcomas are large and complex. They make up 12% to 15% of all soft tissue sarcomas, and patients with these sarcomas tend to have poor prognoses, the researchers explained. That's why the "clinical tools available for the upfront determination of histological type and grade urgently need to be improved to allow for improved risk stratification and management," they wrote -- and why CT radiomics could help.Arthur's group sought to develop and validate a CT-based radiomics classification model for predicting histological type and grade of retroperitoneal leiomyosarcoma and liposarcoma. The team conducted a study they call Radiomics in Sarcoma of the Retroperitoneum (RADSARC-R), using "discovery" data taken from 170 patients at Royal Marsden Hospital in London and validation data from 89 patients who participated in the phase III STRASS study of neoadjuvant radiotherapy in retroperitone...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Imaging Informatics Advanced Visualization Source Type: news