Characterization of Chartis Phenotypes based on fissure completeness scores
| Autor: | Ralf-Harto Huebner, Suttorp Norbert, Christoph Ruwwe-Glösenkamp, F Döllinger, Temmesfeld-Wollbruck Temmesfeld-Wollbruck, Theilig Dorothea, Stefan Hippenstiel |
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| Rok vydání: | 2018 |
| Předmět: |
Lung volume reduction
COPD medicine.medical_specialty business.industry Retrospective cohort study Severe copd medicine.disease Clinical routine Obstructive lung disease Collateral ventilation 03 medical and health sciences 0302 clinical medicine 030228 respiratory system medicine 030212 general & internal medicine Radiology business |
| Zdroj: | Interventional Pulmonology. |
| DOI: | 10.1183/13993003.congress-2018.oa4931 |
| Popis: | Introduction: Endoscopic lung volume reduction with valves (ELVR) has shown to improve selected patients with chronic obstructive lung disease (COPD). It has become clinical routine to exclude interlobular collateral ventilation (CV) prior to ELVR with an endobronchial catheter (Chartis, Pulmonx) in combination with a software based quantitative analyses of fissure integrity from CT scans (QCT, StratX, Pulmonx). Objectives: Assess the FCS of Chartis phenotypes and discover which lobes could be treated with EBV. Method: In a retrospective study, 250 Chartis assessments of 98 severe COPD patients were categorized into Chartis phenotypes based on precise Chartis criteria as recently defined. HRCT scans of these patients were analyzed using StratX software and the adjacent interlobar fissure completeness score (FCS) of each was compared to Chartis phenotype. Results: Among 250 Chartis assessments, 75 CV+, 120 CV-, 5 low plateau (LP) and 50 low flow (LF) phenotypes were identified. Conclusion: This study compared FCS to characterized Chartis phenotypes. Chartis and QCT showed similar results to exclude CV in most CV- lobes. Most frequently, discordant results were seen in CV+ lobes which displayed a FCS >95% in 29% of assessments. LF was seen more frequent in lobes with nearly complete fissures. |
| Databáze: | OpenAIRE |
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