Can ARFI elastography predict the presence of significant esophageal varices in newly diagnosed cirrhotic patients?
| Autor: | Simona Bota, Mirela Danila, Mircea Focsa, Ioan Sporea, Roxana Sirli, Mihnea Strain, Alina Popescu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Male
medicine.medical_specialty Acoustic Radiation Force Impulse Elastography Specialties of internal medicine Newly diagnosed Esophageal and Gastric Varices Risk Assessment Severity of Illness Index Endoscopy Gastrointestinal Arfi elastography Esophageal varices Predictive Value of Tests Risk Factors Liver stiffness Image Interpretation Computer-Assisted Ascites medicine Humans In patient Prospective Studies Portal hypertension Aged Chi-Square Distribution Hepatology Romania business.industry General Medicine Middle Aged Prognosis medicine.disease Liver ROC Curve RC581-951 Liver cirrhosis Elasticity Imaging Techniques Regression Analysis Spleen stiffness Female Radiology medicine.symptom Nuclear medicine business Algorithms Spleen |
| Zdroj: | Annals of Hepatology, Vol 11, Iss 4, Pp 519-525 (2012) |
| ISSN: | 1665-2681 |
| Popis: | Aim. To establish an algorithm which includes the liver stiffness (LS) and/or spleen stiffness (SS) assessed by ARFI for the prediction of significant esophageal varices-EV (at least grade 2). Material and methods. Our study included 145 newly diagnosed cirrhotic patients admitted in our Department between September 2009-August 2011. 62 patients (42.7%) had significant EV. We performed 10 ARFI measurements in each patient, both in the liver and in the spleen; median values were calculated, expressed in meters/second. In 24 consecutive newly diagnosed cirrhotic patients admitted between September 2011-December 2011, we prospectively analyzed the value of the new score for predicting significant EV. Results. The LS and SS assessed by ARFI elastography, and the percentage of patients with ascites were stastically significant higher in patients with significant EV as compared with those without EV or grade 1 EV. By multiple regression analysis we obtained the following formula for predicting significant EV: prediction of significant EV (Pred EV 2-3 ) score: -0.572 + 0.041 x LS (m/s) + 0.122 x SS (m/s) + 0.325 x ascites (1-absent, 2-present). The best Pred EV 2-3 cut-off value for predicting significant EV was > 0.395 (AUROC = 0.721, accuracy = 69.6%). The accuracy in the group of patients in which the value of this score was prospectively analyzed was similar with that obtained in the first cohort of patients (70.8 vs. 69.6%). In conclusion, the proposed Pred EV 2-3 score had a enough good value for predicting significant EV. |
| Databáze: | OpenAIRE |
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