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

Abstract

Objective To construct an MR-radiomics nomogram to predict minimal hepatic encephalopathy (MHE) in patients with chronic hepatic schistosomiasis (CHS). Methods 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. Results 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. Conclusions The radiomics nomogram combining DWI radiomics features and clinical predictors could be useful tool to predict MHE in CHS patients.

Network Analysis and Nomogram in the Novel Classification and Prognosis Prediction of Advanced Schistosomiasis Japonica

“…As the mild form of hepatic encephalopathy, minimal hepatic encephalopathy is usually neglected clinically, and requires specific diagnostic methods. 11 Interestingly, our network showed that hepatic encephalopathy was closer to SIGs, whereas minimal hepatic encephalopathy was closer to SAMs. Our results suggested that hepatic encephalopathy might be a consequence triggered by complications derived from portal hypertension, but minimal hepatic encephalopathy might be a persistent, mild metabolic abnormality.…”

“…4 Some common complications are not included in the existing classification, such as pulmonary hypertension, chronic kidney disease, minimal hepatic encephalopathy, and metabolic syndrome (including hypertension, diabetes, and hyperlipidemia). 10 , 11 Furthermore, the complications are usually co-occurring rather than presenting as isolated complications. 4 Thus, a more comprehensive classification is required to meet the clinical needs for therapy choice and prognosis prediction in advanced schistosomiasis.…”

Prediction of pre-eclampsia by using radiomics nomogram from gestational hypertension patients

“…The radiomics converts the medical images into highdimensional data by high-throughput extraction of quantitative features (Li et al, 2021). Nomogram is a diagnostic model that combines imaging and clinical information to determine an individualized prediction or treatment decision, and prognosis evaluation.…”

“…Radiomics can be used to extract many features from tomographic images via highthroughput computing and convert them into comprehensive quantified data (Gillies et al, 2016). DWI-based radiomics was considered a biomarker (Li et al, 2021). Combined analyses of the radiomics features and the clinical risk factors can produce a radiomics nomogram, which is becoming the most promising approach for individualized management (Li et al, 2021).…”

“…DWI-based radiomics was considered a biomarker (Li et al, 2021). Combined analyses of the radiomics features and the clinical risk factors can produce a radiomics nomogram, which is becoming the most promising approach for individualized management (Li et al, 2021).…”