Dual Energy CT of Pulmonary Embolism

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Dual Energy CT of Pulmonary Embolism U. Joseph Schoepf, MD, FAHA, FSCBT MR, FSCCT Professor of Radiology, Medicine, and Pediatrics Director of Cardiovascular Imaging

Disclosures Consultant for / research support from: Bayer Bracco General Electric Medrad Siemens

Collaborators Thomas Henzler, MD Paul Apfaltrer, MD Christian Fink, MD Department of Clinical Radiology and Nuclear Medicine University Medical Center Mannheim, Medical Faculty Mannheim Heidelberg University Germany

Why Are We Interested in CT Lung Perfusion? If large % of lung parenchyma is affected by embolic occlusion, imminent right heart failure warrants a more aggressive regimen such as thrombolysis or embolectomy that carries a small but definite risk. Pulmonary embolism thrombolysis: broadening the paradigm for its administration. Goldhaber SZ; Circulation. 1997 Quantitative assessment of the affected lung parenchyma may bear more important information for patient management than the direct visualization of emboli alone. Association between thrombolytic treatment and the prognosis of hemodynamically stable patients with major pulmonary embolism: results of a multicenter registry. Konstantinides S; Circulation 1997

Techniques for CT Lung Perfusion Static Dynamic Unenhanced CT attenuation analysis Color coded perfusion maps Non contrast / contrast subtraction CT Electron beam CT Dynamic spiral CT Dynamic volume CT Dual Energy CT

Screaton et al. JTI 2003 Dynamic Spiral CT Lung Perfusion

EBCT Dynamic Lung Perfusion in Acute PE Schoepf et al. Radiology 2001

EBCT Dynamic Lung Perfusion in Acute PE Schoepf et al. Radiology 2001

EBCT Dynamic Lung Perfusion in Acute PE Schoepf et al. Radiology 2001

Color Coded Perfusion Maps in Acute PE Perfusion Ventilation Herzog, Wildberger, Schoepf et al. Acad Radiol 2003

Broad Detector vs. Dynamic Shuttle CT

320 Slice CT Lung Perfusion Imaging in PE Pre treatment Post treatment Right lung almost restored; large defect remains in left lung Courtesy: Edwin J.R. van Beek, CRIC, University of Edinburgh, UK

Shuttle Mode Dynamic CT Perfusion Imaging

Shuttle Mode Dynamic CT Perfusion Imaging

140kV 80 / 100kV Integrative Cardiopulmonary Imaging: Dual Energy CT

DECT Imaging in Acute PE?????

DECT Imaging in Acute PE

DECT Lung Perfusion in Acute PE

DECT Lung Perfusion in Acute PE

DECT Lung Perfusion in Acute PE Henzler et al. JCCT 2011

Foreign Body Embolization Henzler, J Cardiovasc Med 2010

DECT Lung Perfusion in Acute PE: Pitfalls

DECT Post Processing 80kV Bone 670 HU Iodine 296 HU Bone 450 HU Iodine 144 HU 140kV

DECT Lung Perfusion in Acute PE: Pitfalls

Contrast Media Injection Strategies Group Iodine concentration (mg/ml) Total volume Injection rate (ml/s) Iodine delivery rate (gi/s) Injection time (s) Total iodine load (g) A 400 80 3 1.2 26.7 32 B 400 80 4 1.6 20 32 C 300 107 5.4 1.6 19.8 32 D 300 107 4 1.2 26.8 32 Nance et al. Invest Radiol 2011

Contrast Media Injection Strategies Beam Hardening Artifacts A B C D High IDR in combination with highly concentrated CM reduces artifacts for DECT Nance et al. Invest Radiol 2011

Static or Dynamic? DECT vs. TWIST MRA

Static or Dynamic? Hansmann J et al. RSNA 2011

DECT Lung Perfusion in Acute PE: Prognosis R. Bauer et al., Eur Radiol 2011

DECT CPHT

DECT COPD

DECT Lung Nodule Characterization Chae et al. Radiology 2008

DECT Lung Cancer Staging

DECT Lung Cancer Characterization

DECT Lung Cancer Characterization Fink et al. Onkologie 2009

DECT Lung Cancer Imaging: Therapy Response 05/2010 07/2010 08/2010 10/2010

Summary Increase Diagnostic Accuracy Why CT Perfusion in PE? Assessment of RVD Therapy Monitoring EBCT Feasibility Studies Single Level Dynamic Spiral CT Perfusion Weighted Color Maps CT CE Non CE Subtraction CT State of the art Dynamic Volume CT Dual Energy CT

Summary DECT maybe the most practical approach to establish comprehensive imaging Easy to integrate in clinical workflow No additional dose, CM and room time No additional costs Prospective multicenter studies on: Impact on treatment decisions Usefulness for therapy monitoring Patient outcome

schoepf@musc.edu