Browsing by Autor "Li Salvatierra, Bruno"

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    [Usefulness of endoscopic ultrasound guided elastography in the assessment of solid pancreatic lesions].
    (2019) Chacaltana Mendoza, Alfonso; Jerez Lanza, Vivian Fabiola; Llatas Perez, Juan; Li Salvatierra, Bruno; Vera Calderon, Augusto
    INTRODUCTION: endoscopic ultrasonography (EUS) elastography is considered a useful tool for the evaluation of solid pancreatic lesions (SPL). OBJECTIVE: The aim of our study was to evaluate the diagnostic performance of elastography in patients with SPL. MATERIAL AND METHODS: A prospective, cross-sectional study was performed at the Rebagliati Hospital between July 2017 and June 2018. Patients with a diagnosis of SPL and echoendoscopic study, elastography and FNA were included. Qualitative and quantitative elastography: strain ratio (SR) and strain histogram, were performed and analyzed with histopathological results. The diagnostic accuracy of EUS elastography in detecting malignancy was calculated using receiver operating curve analysis. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy for the detection of malignancy were calculated. RESULTS: Out of 832 EUS examinations performed, 46 patients with SPL (mean age, 64.6 years; 29 women) were included in the study. Pancreatic adenocarcinoma was diagnosed in 36 cases. In qualitative elastography, score 3 was most frequent (n = 39, 84.8%) with sensitivity, specificity and accuracy of 88.9%, 30% and 76.1%, respectively, for predict adenocarcinoma. A strain ratio of 15 or higher (100% sensitivity, 66.7% specificity and 97.8% accuracy) and a histogram of less than 49 (66.7% sensitivity, 97.6% specificity and 95.6% accuracy) predicts malignancy in SPL, with area under a ROC curve of 0.941 (95% CI, 0.82 - 1.0). CONCLUSIONS: EUS elastography provides information to predict the malignant nature of the pancreatic lesion. In our study, the elastographic detection of a score 3, SR≥15 or a histogram <49 predicts the presence of malignancy in LSP.