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...
Guardado en:
Autores principales: | , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/35cbfd0f1ee944c9870889ef62978932 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:35cbfd0f1ee944c9870889ef62978932 |
---|---|
record_format |
dspace |
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 |
_version_ |
1718374099732922368 |