TY - JOUR T1 - CT predictors of response to endobronchial valve lung reduction treatment: Comparison with Chartis pulmonary assessment system JF - European Respiratory Journal JO - Eur Respir J VL - 44 IS - Suppl 58 SP - 1779 AU - Maren Schuhmann AU - Daniela Gompelmann AU - Ralf Eberhardt AU - Philippe Raffy AU - Youbing Ying AU - Derek Hornberg AU - Susan Wood AU - Herth Felix Y1 - 2014/09/01 UR - http://erj.ersjournals.com/content/44/Suppl_58/1779.abstract N2 - PURPOSE: Chartis Pulmonary Assessment System™ has shown 75% accuracy in predicting patient response to valve-based lung volume reduction. We compared quantitative CT (QCT) measurements with Chartis in selecting likely responders of valve-based LVR treatment.METHODS: CT scans of 146 subjects with severe emphysema who underwent endobronchial valve LVR were analyzed retrospectively using dedicated lung quantitative imaging software (Apollo®, VIDA Diagnostics). In 33 patients collateral ventilation was evaluated using Chartis prior to treatment. EBV valves were placed with unilateral complete occlusion. Treated lobe volumes were measured at baseline and 3-months. Volume reduction ≥ 350 cc was considered a positive treatment response. Fissure integrity (FI), Low Attenuation Clusters (LAC), and patient′s percent peripheral vessel volume (PPVV) were previously identified to predict outcome of LVR therapy. QCT-Bayes was assessed vs Chartis in selecting likely responders.RESULTS: Fissure integrity (FI; p‹0.0001), Low Attenuation Clusters (LAC; p=0.01), and percentage of patient′s peripheral vessel volume (PPVV; p=0.02) were identified as primary QCT predictors of LVR outcome. QCT-Bayes patient-selection method was comparable with Chartis, with identical accuracy of 78.8% (26/33).View this table:Comparison of patient selection methods for ELVRCONCLUSION: QCT modeling of endobronchial LVR outcome is a promising tool to effectively select candidates for valve-based LVR. ER -