首页|Affiliated Cancer Hospital of Nanjing Medical University Reports Findings in Nas opharyngeal Carcinoma (A pretreatment multiparametric MRI-based radiomics-clinic al machine learning model for predicting radiation-induced temporal lobe injury in ...)
Affiliated Cancer Hospital of Nanjing Medical University Reports Findings in Nas opharyngeal Carcinoma (A pretreatment multiparametric MRI-based radiomics-clinic al machine learning model for predicting radiation-induced temporal lobe injury in ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Nasopharyng eal Carcinoma is the subject of a report. According to news reporting from Nanji ng, People’s Republic of China, by NewsRx journalists, research stated, “To esta blish and validate a machine learning model using pretreatment multiparametric m agnetic resonance imaging-based radiomics data with clinical data to predict rad iation-induced temporal lobe injury (RTLI) in patients with nasopharyngeal carci noma (NPC) after intensity-modulated radiotherapy (IMRT). Data from 230 patients with NPC who received IMRT (130 with RTLI and 130 without) were randomly divide d into the training (n = 161) and validation cohort (n = 69) with a ratio of 7:3 .”
NanjingPeople’s Republic of ChinaAsi aBrain ResearchCancerCarcinomasCentral Nervous SystemCerebral CortexCyborgsEmerging TechnologiesHealth and MedicineMachine LearningNasophary ngeal CarcinomaOncologyProsencephalonTelencephalonTemporal Lobe
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