Julien Le Faivre1, Alain Duhamel2, Suonita Khung1, Jean-Baptiste Faivre1, Nicolas Lamblin3, Jacques Remy1, Martine Remy-Jardin4. 1. Department of Thoracic Imaging, Hospital Calmette, University of Lille, CHU Lille, EA 2694, F-59000, Lille, France. 2. Department of Biostatistics, University of Lille, CHU Lille, EA 2694, F-59000, Lille, France. 3. Department of Cardiology, Cardiology Hospital, University of Lille, CHU Lille, F-59000, Lille, France. 4. Department of Thoracic Imaging, Hospital Calmette, University of Lille, CHU Lille, EA 2694, F-59000, Lille, France. martine.remy@chru-lille.fr.
Abstract
PURPOSE: To evaluate the impact of CT perfusion imaging on the detection of peripheral chronic pulmonary embolisms (CPE). MATERIALS AND METHODS: 62 patients underwent a dual-energy chest CT angiographic examination with (a) reconstruction of diagnostic and perfusion images; (b) enabling depiction of vascular features of peripheral CPE on diagnostic images and perfusion defects (20 segments/patient; total: 1240 segments examined). The interpretation of diagnostic images was of two types: (a) standard (i.e., based on cross-sectional images alone) or (b) detailed (i.e., based on cross-sectional images and MIPs). RESULTS: The segment-based analysis showed (a) 1179 segments analyzable on both imaging modalities and 61 segments rated as nonanalyzable on perfusion images; (b) the percentage of diseased segments was increased by 7.2 % when perfusion imaging was compared to the detailed reading of diagnostic images, and by 26.6 % when compared to the standard reading of images. At a patient level, the extent of peripheral CPE was higher on perfusion imaging, with a greater impact when compared to the standard reading of diagnostic images (number of patients with a greater number of diseased segments: n = 45; 72.6 % of the study population). CONCLUSION: Perfusion imaging allows recognition of a greater extent of peripheral CPE compared to diagnostic imaging. KEY POINTS: • Dual-energy computed tomography generates standard diagnostic imaging and lung perfusion analysis. • Depiction of CPE on central arteries relies on standard diagnostic imaging. • Detection of peripheral CPE is improved by perfusion imaging.
PURPOSE: To evaluate the impact of CT perfusion imaging on the detection of peripheral chronic pulmonary embolisms (CPE). MATERIALS AND METHODS: 62 patients underwent a dual-energy chest CT angiographic examination with (a) reconstruction of diagnostic and perfusion images; (b) enabling depiction of vascular features of peripheral CPE on diagnostic images and perfusion defects (20 segments/patient; total: 1240 segments examined). The interpretation of diagnostic images was of two types: (a) standard (i.e., based on cross-sectional images alone) or (b) detailed (i.e., based on cross-sectional images and MIPs). RESULTS: The segment-based analysis showed (a) 1179 segments analyzable on both imaging modalities and 61 segments rated as nonanalyzable on perfusion images; (b) the percentage of diseased segments was increased by 7.2 % when perfusion imaging was compared to the detailed reading of diagnostic images, and by 26.6 % when compared to the standard reading of images. At a patient level, the extent of peripheral CPE was higher on perfusion imaging, with a greater impact when compared to the standard reading of diagnostic images (number of patients with a greater number of diseased segments: n = 45; 72.6 % of the study population). CONCLUSION: Perfusion imaging allows recognition of a greater extent of peripheral CPE compared to diagnostic imaging. KEY POINTS: • Dual-energy computed tomography generates standard diagnostic imaging and lung perfusion analysis. • Depiction of CPE on central arteries relies on standard diagnostic imaging. • Detection of peripheral CPE is improved by perfusion imaging.
Authors: Anastasia Oikonomou; Carole J Dennie; Nestor L Müller; Jean M Seely; Fred R Matzinger; Fraser D Rubens Journal: J Thorac Imaging Date: 2004-04 Impact factor: 3.000
Authors: Yoo Jin Hong; Ja Young Kim; Kyu Ok Choe; Jin Hur; Hye-Jeong Lee; Byoung Wook Choi; Young Jin Kim Journal: AJR Am J Roentgenol Date: 2013-04 Impact factor: 3.959
Authors: David G Kiely; David Levin; Paul Hassoun; David D Ivy; Pei-Ni Jone; Jumaa Bwika; Steven M Kawut; Jim Lordan; Angela Lungu; Jeremy Mazurek; Shahin Moledina; Horst Olschewski; Andrew Peacock; Goverdhan Dutt Puri; Farbod Rahaghi; Michal Schafer; Mark Schiebler; Nicholas Screaton; Merryn Tawhai; Edwin Jr Van Beek; Anton Vonk-Noordegraaf; Rebecca R Vanderpool; John Wort; Lan Zhao; Jim Wild; Jens Vogel-Claussen; Andrew J Swift Journal: Pulm Circ Date: 2019-03-18 Impact factor: 3.017