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BACKGROUND/PURPOSE: Laparoscopic sleeve gastrectomy (LSG) is an effective treatment for patients with morbid obesity, but the optimal gastric volume (GV) for resection remains unclear. Accordingly, we aimed to determine the optimal percentage of excised stomach that could engender significant weight loss and improve fatty liver. METHODS: This prospective study included 63 patients. Computed tomography (CT) scans were performed before and 1 year after LSG to evaluate the gastric lumen (GL) and GV. Specifically, the stomach was distended with effervescent powder, following water-contrast mixture (20:1) and assessed by three-dimensional reconstruction. The correlations of reduced gastric lumen/volume (RGL/RGV) with total body weight (BW) loss and liver-spleen density ratio (LSDR) changes were analyzed, and optimal RGL/RGV associated with significant BW and fatty liver changes were determined. RESULTS: We noted a positive correlation between the percentage of RGV/RGL (%RGV/%RGL) and percentage of total weight loss (%TWL; r = 0.359, p = 0.004 and r = 0.271, p = 0.032). Furthermore, a %RGL value of >78.2% and %RGV value of >75.3% were associated with more significant BW loss than did limited excision (both p < 0.01). On the other hand, LSDR values increased significantly after LSG, corresponding to the improvement of fatty liver disease at %RGL and %RGV values of >59.1% and >56.4% (both p < 0.01), respectively. CONCLUSION: %RGV and %RGL were determined to be factors affecting LSG outcomes. LSG engendered significantly more BW loss when %RGV was >75.3% and resulted in fatty liver disease improvement when %RGV was >56.4%.
RESUMEN
BACKGROUND/PURPOSE: We evaluated the utility of combining quantitative pulmonary vasculature measures with clinical factors for predicting pulmonary hemorrhage after computed tomography (CT)-guided lung biopsy. METHODS: Patients who underwent CT-guided lung biopsy were retrospectively included in this study. Clinical and radiographic vasculature variables were evaluated as predictors of pulmonary hemorrhage. The radiographic pulmonary vascular analysis included vessel count, density, diameter, and area, and also blood volume in small vessels with a cross-sectional area ≤5 mm2 (BV5) and total blood vessel volume (TBV) in the lungs. Univariate and multivariate logistic regressions were used to identify the independent risk factors of higher-grade pulmonary hemorrhage and establish the prediction model presented as a nomogram. RESULTS: The study included 126 patients; discovery cohort n = 103, and validation cohort n = 23. All pulmonary hemorrhage, higher-grade (grade ≥2) pulmonary hemorrhage, and hemoptysis occurred in 42.9%, 15.9%, and 3.2% of patients who underwent CT-guided lung biopsies. In the discovery cohort, patients with larger lesion depth (p = 0.013), higher vessel density (p = 0.033), and higher BV5 (p = 0.039) were more likely to experience higher-grade hemorrhage. The nomogram prediction model for higher-grade hemorrhage built by the discovery cohort showed similar performance in the validation cohort. CONCLUSIONS: Higher-grade pulmonary hemorrhage may occur after CT-guided lung biopsy. Lesion depth, vessel density, and BV5 are independent risk factors for higher-grade pulmonary hemorrhage. Nomograms integrating clinical parameters and radiographic pulmonary vasculature measures offer enhanced capability for assessing hemorrhage risk following CT-guided lung biopsy, thereby facilitating improved patient clinical care.