European journal of radiology
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To develop and externally validate an MR-based radiomics nomogram from retrospective multicenter datasets for pretreatment prediction of early relapse (≤ 1 year) in osteosarcoma after surgical resection. ⋯ The proposed MRI-based radiomics nomogram could provide a non-invasive tool to predict early relapse of osteosarcoma, which has the potential to improve personalized pretreatment management of osteosarcoma.
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Multicenter Study
Radiomics nomogram for preoperative differentiation of lung tuberculoma from adenocarcinoma in solitary pulmonary solid nodule.
To investigate the preoperative differential diagnostic performance of a radiomics nomogram in tuberculous granuloma (TBG) and lung adenocarcinoma (LAC) appearing as solitary pulmonary solid nodules (SPSNs). ⋯ The radiomics nomogram we developed can preoperatively distinguish between LAC and TBG in patient with a SPSN.
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Multicenter Study
Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study.
To develop a deep learning-based method to assist radiologists to fast and accurately identify patients with COVID-19 by CT images. ⋯ Based on deep learning method, the proposed diagnosis model trained on multi-view images of chest CT images showed great potential to improve the efficacy of diagnosis and mitigate the heavy workload of radiologists for the initial screening of COVID-19 pneumonia.
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Multicenter Study
Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases.
The aim of this study was to develop a deep learning-based method for segmentation of bones in CT scans and test its accuracy compared to manual delineation, as a first step in the creation of an automated PET/CT-based method for quantifying skeletal tumour burden. ⋯ The new deep learning-based method for automated segmentation of bones in CT scans provided highly accurate bone volumes in a fast and automated way and, thus, appears to be a valuable first step in the development of a clinical useful processing procedure providing reliable skeletal segmentation as a key part of quantification of skeletal metastases.
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Multicenter Study
Lymphatic interventions for isolated, iatrogenic chylous ascites: A multi-institution experience.
Lymphangiography and thoracic duct embolization are established treatments for post-surgical chylothorax. There is only limited experience in their application to treat post-surgical chylous ascites. A multi-center analysis of the technical and clinical success of lymphangiography and lymphatic interventions in the treatment of isolated, iatrogenic chylous ascites is reported. ⋯ Lymphatic interventions can successfully treat post-surgical chylous ascites. Given the low risk of procedural complication, early intervention is encouraged.