Radiomics model of contrast-enhanced computed tomography for predicting the recurrence of acute pancreatitis.
Objectives: To predict the recurrence of acute pancreatitis (AP) by constructing a radiomics model of contrast-enhanced computed tomography (CECT) at AP first attack.Methods: We retrospectively enrolled 389 first-attack AP patients (271 in the primary cohort and 118 in the validation cohort) from th...
| Publicado en: | European Radiology Vol. 29; no. 8; pp. 4408 - 4418 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Aug2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=137304087&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 137304087 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Aug2019 vid: 29 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 137304087 137304087 NLM30413966 137304087 10.1007/s00330-018-5824-1 NLM30413966 137304087 ppf: 4408 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Radiomics model of contrast-enhanced computed tomography for predicting the recurrence of acute pancreatitis. aug: au: Chen, Yong Chen, Tian-wu Wu, Chang-qiang Lin, Qiao Hu, Ran Xie, Chao-lian Zuo, Hou-dong Wu, Jia-long Mu, Qi-wen Fu, Quan-shui Yang, Guo-qing Zhang, Xiao Ming affil: Sichuan Key Laboratory of Medical Imaging and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, No. 63, Wenhua Road, 637000, Nanchong, Sichuan, China sug: subj: Pancreatitis Young Adult Observer Bias Male Human Prognosis Aged, 80 and Over Logistic Regression Middle Age Contrast Media Retrospective Design Adult Recurrence Tomography, X-Ray Computed Methods Prospective Studies Female Radiographic Image Interpretation, Computer-Assisted Methods Aged Adolescence Predictive Value of Tests Reproducibility of Results Acute Disease ROC Curve Validation Studies Comparative Studies Evaluation Research Multicenter Studies Funding Source Aged, 80 & over Middle Aged: 45-64 years Adult: 19-44 years Aged: 65+ years Adolescent: 13-18 years Male Female ab: Objectives: To predict the recurrence of acute pancreatitis (AP) by constructing a radiomics model of contrast-enhanced computed tomography (CECT) at AP first attack.Methods: We retrospectively enrolled 389 first-attack AP patients (271 in the primary cohort and 118 in the validation cohort) from three tertiary referral centers; 126 and 55 patients endured recurrent attacks in each cohort. Four hundred twelve radiomics features were extracted from arterial and venous phase CECT images, and clinical characteristics were gathered to develop a clinical model. An optimal radiomics signature was chosen using a multivariable logistic regression or support vector machine. The radiomics model was developed and validated by incorporating the optimal radiomics signature and clinical characteristics. The performance of the radiomics model was assessed based on its calibration and classification metrics.Results: The optimal radiomics signature was developed based on a multivariable logistic regression with 10 radiomics features. The classification accuracy of the radiomics model well predicted the recurrence of AP for both the primary and validation cohorts (87.1% and 89.0%, respectively). The area under the receiver operating characteristic curve (AUC) of the radiomics model was significantly better than that of the clinical model for both the primary (0.941 vs. 0.712, p = 0.000) and validation (0.929 vs. 0.671, p = 0.000) cohorts. Good calibration was observed for all the models (p > 0.05).Conclusions: The radiomics model based on CECT performed well in predicting AP recurrence. As a quantitative method, radiomics exhibits promising performance in terms of alerting recurrent patients to potential precautions.Key Points: • The incidence of recurrence after an initial episode of acute pancreatitis is high, and quantitative methods for predicting recurrence are lacking. • The radiomics model based on contrast-enhanced computed tomography performed well in predicting the recurrence of acute pancreatitis. • As a quantitative method, radiomics exhibits promising performance in terms of alerting recurrent patients to the potential need to take precautions. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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