Lars Reisæter In memory of the founder of Acta Radiologica, Professor G€ osta Forsell, the Xenia Forsselliana Prize has been awarded for the best manuscript from one of the five… Click to show full abstract
Lars Reisæter In memory of the founder of Acta Radiologica, Professor G€ osta Forsell, the Xenia Forsselliana Prize has been awarded for the best manuscript from one of the five Nordic countries published in the print version in Acta Radiologica that specific year. After a formal voting procedure, the section editors of Acta Radiologica have decided that the Xenia Forsselliana Prize for 2020 should be awarded to Are Losnegård from Haukeland University Hospital, Bergen, Norway (Fig. 1) and Dr Lars Reisæter (Fig. 2) also from Haukeland University Hospital, Norway for their article “Magnetic resonance radiomics for prediction of extraprostatic extension in non-favorable intermediateand high-risk prostate cancer patients.” Are Losnegård PhD was born in 1979 and was educated at and received his master’s degree in Applied Mathematics from the University of Bergen in 2006. From 2009 through 2013, he was a PhD Fellow at the University of Bergen, Norway. Are Losnegård has published five articles as main author and seven articles as co-author. Dr Lars Reisæter was born in 1973 and was educated at and received his MD from the University of Bergen in 2002. He became a Specialist in Radiology in 2012 and defended his MD thesis in 2020. Dr Lars Reisæter has published 13 articles, three as main author. Are Losnegård The aim of the prizewinning paper was to investigate the diagnostic performance of radiomics to detect extraprostatic extension. Magnetic resonance (MR) radiomic features were extracted from 228 patients, of whom 86 were diagnosed with extraprostatic extension, using prostate and lesion segmentations. Prediction models were built using random forests. Extraprostatic extension was also predicted using a clinical normogram and routine radiological interpretation. The MR radiomic model with features extracted from the manually delineated lesion performed best among the radiomic models with an area under the curve (AUC) of 0.74. Radiology interpretation yielded an AUC 0.75 and the clinical normogram an AUC of 0.67. A combination of the three prediction models gave the highest AUC of 0.79. Radiomic analysis combined with radiology interpretation aid the clinical normogram in predicting extraprostatic extension in highand non-favorable intermediate-risk patients. The Prize consists of 40,000 SEK and will be shared by the two authors. A diploma will be handed out at the official presentation of the Prize which will take place during Nordic Congress of Radiology in Helsinki at the Acta Radiologica Award Session in May 2023. The manuscript will be presented orally during the Acta Radiologica Award Session. The Editorial Board congratulates Are Losnegård and Dr Lars Reisæter for winning the 2020 Xenia Forsselliana Prize.
               
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