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Published in 2022 at "Medical physics"
DOI: 10.1002/mp.16136
Abstract: BACKGROUND Lung metastasis (LM) status is critical for making treatment decisions in soft-tissue sarcoma (STS) patients, yet magnetic resonance imaging (MRI)-based prediction of LM in STSs has not been thoroughly investigated. PURPOSE This study aimed… read more here.
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Published in 2017 at "Abdominal Radiology"
DOI: 10.1007/s00261-017-1072-0
Abstract: PurposeTo develop a CT-based radiomics signature and assess its ability for preoperatively predicting the early recurrence (≤1 year) of hepatocellular carcinoma (HCC).MethodsA total of 215 HCC patients who underwent partial hepatectomy were enrolled in this… read more here.
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Published in 2020 at "European Radiology"
DOI: 10.1007/s00330-020-07074-3
Abstract: Objectives Accurately predicting the WHO classification of thymomas is urgently needed to optimize individualized therapeutic strategies. We aimed to develop and validate a combined radiomics nomogram for personalized prediction of histologic subtypes in patients with… read more here.
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Published in 2020 at "European Radiology"
DOI: 10.1007/s00330-020-07246-1
Abstract: To construct a CT-based radiomics signature and assess its performance in predicting MYCN amplification (MNA) in pediatric patients with neuroblastoma. Seventy-eight pediatric patients with neuroblastoma were recruited (55 in training cohort and 23 in test… read more here.
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Published in 2021 at "European Radiology"
DOI: 10.1007/s00330-020-07614-x
Abstract: To predict epidermal growth factor receptor (EGFR) mutation status in lung adenocarcinoma using MR-based radiomics signature of brain metastasis and explore the optimal MR sequence for prediction. Data from 52 patients with brain metastasis from… read more here.
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Published in 2022 at "European Archives of Oto-Rhino-Laryngology"
DOI: 10.1007/s00405-022-07306-w
Abstract: To establish and validate a radiomics signature for stratifying the risk of progression-free survival (PFS) in patients with locally advanced hypopharyngeal carcinoma (LAHC) undergoing induction chemotherapy (IC). We extracted radiomics features from baseline contrast-enhanced computed… read more here.
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Published in 2021 at "Interdisciplinary Sciences, Computational Life Sciences"
DOI: 10.1007/s12539-020-00410-7
Abstract: Abstract Assessing pulmonary lesions using computed tomography (CT) images is of great significance to the severity diagnosis and treatment of coronavirus disease 2019 (COVID-19)-infected patients. Such assessment mainly depends on radiologists’ subjective judgment, which is… read more here.
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Published in 2018 at "EBioMedicine"
DOI: 10.1016/j.ebiom.2018.09.007
Abstract: To develop and validate a radiomics signature for the prediction of gastric cancer (GC) survival and chemotherapeutic benefits. In this multicenter retrospective analysis, we analyzed the radiomics features of portal venous-phase computed tomography in 1591… read more here.
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Published in 2019 at "European journal of radiology"
DOI: 10.1016/j.ejrad.2019.03.010
Abstract: PURPOSE To evaluate the performance of a multi-parametric MRI (mp-MRI)-based radiomics signature for discriminating between clinically significant prostate cancer (csPCa) and insignificant PCa (ciPCa). MATERIALS AND METHODS Two hundred and eighty patients with pathology-proven PCa… read more here.
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Published in 2019 at "European journal of radiology"
DOI: 10.1016/j.ejrad.2019.05.010
Abstract: OBJECTIVES To assess whether radiomics signature can identify aggressive behavior and predict recurrence of hepatocellular carcinoma (HCC) after liver transplantation. METHODS Our study consisted of a training dataset (n = 93) and a validation dataset (40) with… read more here.
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Published in 2021 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2021.12.008
Abstract: PURPOSE To evaluate intra- and preitumoral radiomics on the contrast-enhanced T1-weighted (CE-T1) and T2-weighted (T2W) MRI for predicting the LNM, and develop a nomogram for potential clinical uses. METHODS We enrolled 169 cervical cancer cases… read more here.