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CT-Based Radiomics Score Can Accurately Predict Esophageal Variceal Rebleeding in Cirrhotic Patients.

ABSTRACT: Purpose: This study aimed to develop a radiomics score (Rad-score) extracted from liver and spleen CT images in cirrhotic patients to predict the probability of esophageal variceal rebleeding. Methods: In total, 173 cirrhotic patients were enrolled in this retrospective study. A total of 2,264 radiomics features of the liver and spleen were extracted from CT images. Least absolute shrinkage and selection operator (LASSO) Cox regression was used to select features and generate the Rad-score. Then, the Rad-score was evaluated by the concordance index (C-index), calibration curves, and decision curve analysis (DCA). Kaplan-Meier analysis was used to assess the risk stratification ability of the Rad-score. Results: Rad-score_Liver, Rad-score_Spleen, and Rad-score_Liver-Spleen were independent risk factors for EV rebleeding. The Rad-score_Liver-Spleen, which consisted of ten features, showed good discriminative performance, with C-indexes of 0.853 [95% confidence interval (CI), 0.776-0.904] and 0.822 (95% CI, 0.749-0.875) in the training and validation cohorts, respectively. The calibration curve showed that the predicted probability of rebleeding was very close to the actual probability. DCA verified the usefulness of the Rad-score_Liver-Spleen in clinical practice. The Rad-score_Liver-Spleen showed good performance in stratifying patients into high-, intermediate- and low-risk groups in both the training and validation cohorts. The C-index of the Rad-score_Liver-Spleen in the hepatitis B virus (HBV) cohort was higher than that in the non-HBV cohort. Conclusion: The radiomics score extracted from liver and spleen CT images can predict the risk of esophageal variceal rebleeding and stratify cirrhotic patients accordingly.

SUBMITTER: Meng D

PROVIDER: S-EPMC8599938 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundEndoscopic treatment is recommended for the management of esophageal varices. However, variceal recurrence or rebleeding is common after endoscopic variceal eradication. Our study aimed to systematically evaluate the prevalence of esophageal collateral veins (ECVs) and the association of ECVs with recurrence of esophageal varices or rebleeding from esophageal varices after endoscopic treatment.MethodsWe searched the relevant literature through the PubMed, EMBASE, and Cochrane Library databases. Prevalence of paraesophageal veins (para-EVs), periesophageal veins (peri-EVs), and perforating veins (PVs) were pooled. Risk ratio (RR) and odds ratio (OR) with 95% confidence intervals (CIs) were calculated for cohort studies and case-control studies, respectively. A random-effects model was employed. Heterogeneity among studies was calculated.ResultsAmong the 532 retrieved papers, 28 were included. The pooled prevalence of para-EVs, peri-EVs, and PVs in patients with esophageal varices was 73%, 88%, and 54%, respectively. The pooled prevalence of para-EVs and PVs in patients with recurrence of esophageal varices was 87% and 62%, respectively. The risk for recurrence of esophageal varices was significantly increased in patients with PVs (OR = 9.79, 95% CI: 1.95-49.22, P = 0.006 for eight case-control studies), but not in those with para-EVs (OR = 4.26, 95% CI: 0.38-38.35, P = 0.24 for four case-control studies; RR = 1.81, 95% CI: 0.83-3.97, P = 0.14 for three cohort studies). Patients with para-EVs had a significantly higher incidence of rebleeding from esophageal varices (RR = 13.00, 95% CI: 2.43-69.56, P = 0.003 for two cohort studies). Statistically significant heterogeneity was notable across the meta-analyses.ConclusionsECVs are common in patients with esophageal varices. Identification of ECVs could be helpful for predicting the recurrence of esophageal varices or rebleeding from esophageal varices after endoscopic treatment.

Project description:IntroductionPortal vein thrombosis (PVT) increases the risk of variceal rebleeding in liver cirrhosis. However, the strategy for preventing variceal rebleeding in cirrhotic patients with PVT has not been explored. This study aims to evaluate whether the transjugular intrahepatic portosystemic shunt (TIPS) or conventional therapy is preferable for the prevention of variceal rebleeding in liver cirrhosis patients with PVT.Methods and analysisThis is a randomised controlled trial comparing the safety and efficacy of TIPS versus conventional therapy (ie, endoscopic therapy combined with non-selective β-blockers and anticoagulants) for the prevention of variceal rebleeding in cirrhotic patients with non-tumoral PVT. A total of 50 cirrhotic patients with PVT (thrombus >50% of portal vein lumen occupancy) and a history of variceal bleeding will be stratified according to the Child-Pugh class and degree of PVT, and randomised into the TIPS and conventional therapy groups. The primary objective was to compare the incidence of variceal rebleeding between the two groups. The secondary objectives were to compare the overall mortality, variceal rebleeding-related mortality, portal vein recanalisation and complications between the two groups, and to observe the progression of PVT in patients without portal vein recanalisation.Ethics and disseminationThis study was approved by the ethics committee of Xijing hospital (No. 20110224-5), and was registered at ClinicalTrials.gov (NCT01326949). All participants give written informed consent. The first patient was recruited into our study on 4 June 2011. A total of 29 patients were recruited through 5 March 2013 (14 and 15 patients assigned to the TIPS and conventional therapy groups, respectively). If TIPS is superior to conventional therapy for the prevention of variceal rebleeding in cirrhotic patients with PVT, TIPS might be recommended as the first-line therapy in such patients. But a small sample size potentially limits the generalisation of our conclusions.Trial registrationThis study was registered at ClinicalTrials.gov on 29 March 2011. The trial registration number is NCT01326949.Trial statusThe first patient was recruited into our study on 4 June 2011. A total of 29 patients were recruited through 5 March 2013 (14 and 15 patients assigned to the TIPS and conventional therapy groups, respectively).

Project description:Background: Lymph node (LN) metastasis is the most important prognostic factor in esophageal squamous cell carcinoma (ESCC). Traditional clinical factor and existing methods based on CT images are insufficiently effective in diagnosing LN metastasis. A more efficient method to predict LN status based on CT image is needed. Methods: In this multicenter retrospective study, 411 patients with pathologically confirmed ESCC were registered from two hospitals. Quantitative image features including handcrafted-, computer vision-(CV-), and deep-features were extracted from preoperative arterial phase CT images for each patient. A handcrafted-, CV-, and deep-radiomics signature were built, respectively. Then, multiple radiomics models were constructed by merging independent clinical risk factor into radiomics signatures. The performance of models were evaluated with respect to the discrimination, calibration, and clinical usefulness. Finally, an independent external validation cohort was used to validate the model's predictive performance. Results: Five, seven, and nine features were selected for building handcrafted-, CV-, and deep-radiomics signatures from extracted features, respectively. Those signatures were statistically significant different between LN-positive and LN-negative patients in all cohorts (p < 0.001). The developed multiple level CT radiomics model that integrates multiple radiomics signatures with clinical risk factor, was superior to traditional clinical factors and the results reported by existing methods, and achieved satisfactory discrimination performance with C-statistic of 0.875 in development cohort, 0.874 in internal validation cohort and 0.840 in independent external validation cohort. Nomogram and decision curve analysis (DCA) further confirmed our method may serve as an effective tool for clinicians to evaluate the risk of LN metastasis in patients with ESCC and further choose treatment strategy. Conclusions: The proposed multiple level CT radiomics model which integrate multiple level radiomics features into clinical risk factor can be used for preoperative predicting LN metastasis of patients with ESCC.

Project description:ObjectiveWe aimed to investigate whether enhanced CT-based radiomics can predict micropapillary pattern (MPP) of lung invasive adenocarcinoma (IAC) in the pre-op phase and to develop an individual diagnostic predictive model for MPP in IAC.Methods170 patients who underwent complete resection for pathologically confirmed lung IAC were included in our study. Of these 121 were used as a training cohort and the other 49 as a test cohort. Clinical features and enhanced CT images were collected and assessed. Quantitative CT analysis was performed based on feature types including first order, shape, gray-level co-occurrence matrix-based, gray-level size zone matrix-based, gray-level run length matrix-based, gray-level dependence matrix-based, neighboring gray tone difference matrix-based features and transform types including Log, wavelet and local binary pattern. Receiver operating characteristic (ROC) and area under the curve (AUC) were used to value the ability to identify the lung IAC with MPP using these characteristics.ResultsUsing quantitative CT analysis, one thousand three hundred and seventeen radiomics features were deciphered from R (https://www.r-project.org/). Then these radiomic features were decreased to 14 features after dimension reduction using the least absolute shrinkage and selection operator (LASSO) method in R. After correlation analysis, 5 key features were obtained and used as signatures for predicting MPP within IAC. The individualized prediction model which included age, smoking, family tumor history and radiomics signature had better identification (AUC=0.739) in comparison with the model consisting only of radiomics features (AUC=0.722). DeLong test showed that the difference in AUC between the two models was statistically significant (P<0.01). Compared with the simple radiomics model, the more comprehensive individual prediction model has better prediction performance.ConclusionThe use of radiomics approach is of great value in the diagnosis of tumors by non-invasive means. The individualized prediction model in the study, when incorporated with age, smoking and radiomics signature, had effective predictive performance of lung IAC with MPP lesions. The combination of imaging features and clinical features can provide additional diagnostic value to identify the micropapillary pattern in IAC and can affect clinical diagnosis and treatment.

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CT-Based Radiomics Score Can Accurately Predict Esophageal Variceal Rebleeding in Cirrhotic Patients.

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