Prediction of minimal hepatic encephalopathy by using an radiomics nomogram in chronic hepatic schistosomiasis patients.

<h4>Objective</h4>To construct an MR-radiomics nomogram to predict minimal hepatic encephalopathy (MHE) in patients with chronic hepatic schistosomiasis (CHS).<h4>Methods</h4>From July 2017 to July 2020, 236 CHS patients with non-HE (n = 140) and MHE (n = 96) were retrospecti...

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Autores principales: Ying Li, Shuai Ju, Xin Li, Yan Li Zhou, Jin Wei Qiang
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Publicado: Public Library of Science (PLoS) 2021
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spelling oai:doaj.org-article:35cbfd0f1ee944c9870889ef629789322021-12-02T20:23:25ZPrediction of minimal hepatic encephalopathy by using an radiomics nomogram in chronic hepatic schistosomiasis patients.1935-27271935-273510.1371/journal.pntd.0009834https://doaj.org/article/35cbfd0f1ee944c9870889ef629789322021-10-01T00:00:00Zhttps://doi.org/10.1371/journal.pntd.0009834https://doaj.org/toc/1935-2727https://doaj.org/toc/1935-2735<h4>Objective</h4>To construct an MR-radiomics nomogram to predict minimal hepatic encephalopathy (MHE) in patients with chronic hepatic schistosomiasis (CHS).<h4>Methods</h4>From July 2017 to July 2020, 236 CHS patients with non-HE (n = 140) and MHE (n = 96) were retrospective collected and randomly divided into training group and testing group. Radiomics features were extracted from substantia nigra-striatum system of a brain diffusion weighted images (DWI) and combined with clinical predictors to build a radiomics nomogram for predicting MHE in CHS patients. The ROC curve was used to evaluate the predicting performance in training group and testing group. The clinical decisive curve (CDC) was used to assess the clinical net benefit of using radiomics nomogram in predicting MHE.<h4>Results</h4>Low seralbumin (P < 0.05), low platelet count (P < 0.05) and high plasma ammonia (P < 0.05) was the significant clinical predictors for MHE in CHS patients. The AUC, specificity and sensitivity of the radiomics nomogram were 0.89, 0.90 and 0.86 in the training group, and were 0.83, 0.85 and 0.75 in the training group. The CDC analysis showed clinical net benefits for the radiomics nomogram in predicting MHE.<h4>Conclusions</h4>The radiomics nomogram combining DWI radiomics features and clinical predictors could be useful tool to predict MHE in CHS patients.Ying LiShuai JuXin LiYan Li ZhouJin Wei QiangPublic Library of Science (PLoS)articleArctic medicine. Tropical medicineRC955-962Public aspects of medicineRA1-1270ENPLoS Neglected Tropical Diseases, Vol 15, Iss 10, p e0009834 (2021)
institution DOAJ
collection DOAJ
language EN
topic Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
spellingShingle Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
Ying Li
Shuai Ju
Xin Li
Yan Li Zhou
Jin Wei Qiang
Prediction of minimal hepatic encephalopathy by using an radiomics nomogram in chronic hepatic schistosomiasis patients.
description <h4>Objective</h4>To construct an MR-radiomics nomogram to predict minimal hepatic encephalopathy (MHE) in patients with chronic hepatic schistosomiasis (CHS).<h4>Methods</h4>From July 2017 to July 2020, 236 CHS patients with non-HE (n = 140) and MHE (n = 96) were retrospective collected and randomly divided into training group and testing group. Radiomics features were extracted from substantia nigra-striatum system of a brain diffusion weighted images (DWI) and combined with clinical predictors to build a radiomics nomogram for predicting MHE in CHS patients. The ROC curve was used to evaluate the predicting performance in training group and testing group. The clinical decisive curve (CDC) was used to assess the clinical net benefit of using radiomics nomogram in predicting MHE.<h4>Results</h4>Low seralbumin (P < 0.05), low platelet count (P < 0.05) and high plasma ammonia (P < 0.05) was the significant clinical predictors for MHE in CHS patients. The AUC, specificity and sensitivity of the radiomics nomogram were 0.89, 0.90 and 0.86 in the training group, and were 0.83, 0.85 and 0.75 in the training group. The CDC analysis showed clinical net benefits for the radiomics nomogram in predicting MHE.<h4>Conclusions</h4>The radiomics nomogram combining DWI radiomics features and clinical predictors could be useful tool to predict MHE in CHS patients.
format article
author Ying Li
Shuai Ju
Xin Li
Yan Li Zhou
Jin Wei Qiang
author_facet Ying Li
Shuai Ju
Xin Li
Yan Li Zhou
Jin Wei Qiang
author_sort Ying Li
title Prediction of minimal hepatic encephalopathy by using an radiomics nomogram in chronic hepatic schistosomiasis patients.
title_short Prediction of minimal hepatic encephalopathy by using an radiomics nomogram in chronic hepatic schistosomiasis patients.
title_full Prediction of minimal hepatic encephalopathy by using an radiomics nomogram in chronic hepatic schistosomiasis patients.
title_fullStr Prediction of minimal hepatic encephalopathy by using an radiomics nomogram in chronic hepatic schistosomiasis patients.
title_full_unstemmed Prediction of minimal hepatic encephalopathy by using an radiomics nomogram in chronic hepatic schistosomiasis patients.
title_sort prediction of minimal hepatic encephalopathy by using an radiomics nomogram in chronic hepatic schistosomiasis patients.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/35cbfd0f1ee944c9870889ef62978932
work_keys_str_mv AT yingli predictionofminimalhepaticencephalopathybyusinganradiomicsnomograminchronichepaticschistosomiasispatients
AT shuaiju predictionofminimalhepaticencephalopathybyusinganradiomicsnomograminchronichepaticschistosomiasispatients
AT xinli predictionofminimalhepaticencephalopathybyusinganradiomicsnomograminchronichepaticschistosomiasispatients
AT yanlizhou predictionofminimalhepaticencephalopathybyusinganradiomicsnomograminchronichepaticschistosomiasispatients
AT jinweiqiang predictionofminimalhepaticencephalopathybyusinganradiomicsnomograminchronichepaticschistosomiasispatients
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