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DOI: 10.1055/s-0041-1723782
Computed Tomography Pulmonary Perfusion for Prediction of Short-Term Clinical Outcome in Acute Pulmonary Embolism
Abstract
Background Computed tomography pulmonary angiography (CTPA) is the imaging modality of choice for the diagnosis of acute pulmonary embolism (PE). With computed tomography pulmonary perfusion (CTPP) additional information on lung perfusion can be assessed, but its value in PE risk stratification is unknown. We aimed to evaluate the correlation between CTPP-assessed perfusion defect score (PDS) and clinical presentation and its predictive value for adverse short-term outcome of acute PE.
Patients and Methods This was an exploratory, observational study in 100 hemodynamically stable patients with CTPA-confirmed acute PE in whom CTPP was performed as part of routine clinical practice. We calculated the difference between the mean PDS in patients with versus without chest pain, dyspnea, and hemoptysis and 7-day adverse outcome. Multivariable logistic regression analysis and likelihood-ratio test were used to assess the added predictive value of PDS to CTPA parameters of right ventricle dysfunction and total thrombus load, for intensive care unit admission, reperfusion therapy and PE-related death.
Results We found no correlation between PDS and clinical symptoms. PDS was correlated to reperfusion therapy (n = 4 with 16% higher PDS, 95% confidence interval [CI]: 3.5–28%) and PE-related mortality (n = 2 with 22% higher PDS, 95% CI: 4.9–38). Moreover, PDS had an added predictive value to CTPA assessment for PE-related mortality (from Chi-square 14 to 19, p = 0.02).
Conclusion CTPP-assessed PDS was not correlated to clinical presentation of acute PE. However, PDS was correlated to reperfusion therapy and PE-related mortality and had an added predictive value to CTPA-reading for PE-related mortality; this added value needs to be demonstrated in larger studies.
Authors' Contributions
L.F.V.D. and F.A.K. had full access to all data in the study and take the responsibility for the integrity of the data and the accuracy of the data analysis. L.F.V.D., L.J.M.K., and F.A.K. performed analysis and interpretation of the data. L.F.V.D. and F.A.K. drafted the manuscript. L.F.V.D., L.J.M.K., M.V.H., M.K.N., and F.A.K. acquired the data, carried out critical revision of the manuscript, and approved the manuscript.
Publication History
Received: 10 November 2020
Accepted: 18 December 2020
Article published online:
10 February 2021
© 2021. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)
Georg Thieme Verlag KG
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References
- 1 Huisman MV, Barco S, Cannegieter SC. et al. Pulmonary embolism. Nat Rev Dis Primers 2018; 4: 18028
- 2 Cai XR, Feng YZ, Qiu L. et al. Iodine distribution map in dual-energy computed tomography pulmonary artery imaging with rapid kVp switching for the diagnostic analysis and quantitative evaluation of acute pulmonary embolism. Acad Radiol 2015; 22 (06) 743-751
- 3 Grob D, Smit E, Prince J. et al. Iodine maps from subtraction CT or dual-energy CT to detect pulmonary emboli with CT angiography: a multiple-observer study. Radiology 2019; 292 (01) 197-205
- 4 Weidman EK, Plodkowski AJ, Halpenny DF. et al. Dual-energy CT angiography for detection of pulmonary emboli: incremental benefit of iodine maps. Radiology 2018; 289 (02) 546-553
- 5 Mao X, Wang S, Jiang X, Zhang L, Xu W. Diagnostic value of dual-source computerized tomography combined with perfusion imaging for peripheral pulmonary embolism. Iran J Radiol 2016; 13 (02) e29402
- 6 Kong WF, Wang YT, Yin LL, Pu H, Tao KY. Clinical risk stratification of acute pulmonary embolism: comparing the usefulness of CTA obstruction score and pulmonary perfusion defect score with dual-energy CT. Int J Cardiovasc Imaging 2017; 33 (12) 2039-2047
- 7 Meinel FG, Graef A, Bamberg F. et al. Effectiveness of automated quantification of pulmonary perfused blood volume using dual-energy CTPA for the severity assessment of acute pulmonary embolism. Invest Radiol 2013; 48 (08) 563-569
- 8 Zhou Y, Shi H, Wang Y, Kumar AR, Chi B, Han P. Assessment of correlation between CT angiographic clot load score, pulmonary perfusion defect score and global right ventricular function with dual-source CT for acute pulmonary embolism. Br J Radiol 2012; 85 (1015): 972-979
- 9 Thieme SF, Ashoori N, Bamberg F. et al. Severity assessment of pulmonary embolism using dual energy CT - correlation of a pulmonary perfusion defect score with clinical and morphological parameters of blood oxygenation and right ventricular failure. Eur Radiol 2012; 22 (02) 269-278
- 10 Chae EJ, Seo JB, Jang YM. et al. Dual-energy CT for assessment of the severity of acute pulmonary embolism: pulmonary perfusion defect score compared with CT angiographic obstruction score and right ventricular/left ventricular diameter ratio. AJR Am J Roentgenol 2010; 194 (03) 604-610
- 11 Zondag W, Kooiman J, Klok FA, Dekkers OM, Huisman MV. Outpatient versus inpatient treatment in patients with pulmonary embolism: a meta-analysis. Eur Respir J 2013; 42 (01) 134-144
- 12 van der Hulle T, Cheung WY, Kooij S. et al; YEARS study group. Simplified diagnostic management of suspected pulmonary embolism (the YEARS study): a prospective, multicentre, cohort study. Lancet 2017; 390 (10091): 289-297
- 13 van der Pol LM, Tromeur C, Bistervels IM. et al; Artemis Study Investigators. Pregnancy-adapted YEARS algorithm for diagnosis of suspected pulmonary embolism. N Engl J Med 2019; 380 (12) 1139-1149
- 14 den Exter PL, Zondag W, Klok FA. et al; Vesta Study Investigators *. Efficacy and safety of outpatient treatment based on the Hestia clinical decision rule with or without n-terminal pro-brain natriuretic peptide testing in patients with acute pulmonary embolism. a randomized clinical trial. Am J Respir Crit Care Med 2016; 194 (08) 998-1006
- 15 Zondag W, Mos IC, Creemers-Schild D. et al; Hestia Study Investigators. Outpatient treatment in patients with acute pulmonary embolism: the Hestia Study. J Thromb Haemost 2011; 9 (08) 1500-1507
- 16 Qanadli SD, El Hajjam M, Vieillard-Baron A. et al. New CT index to quantify arterial obstruction in pulmonary embolism: comparison with angiographic index and echocardiography. AJR Am J Roentgenol 2001; 176 (06) 1415-1420
- 17 Huisman MV, Klok FA. How I diagnose acute pulmonary embolism. Blood 2013; 121 (22) 4443-4448
- 18 Huisman MV, Klok FA. Diagnostic management of clinically suspected acute pulmonary embolism. J Thromb Haemost 2009; 7 (Suppl. 01) 312-317
- 19 Huisman MV, Klok FA. Diagnostic management of acute deep vein thrombosis and pulmonary embolism. J Thromb Haemost 2013; 11 (03) 412-422
- 20 Kraaijpoel N, Tritschler T, Guillo E, Girard P, Le Gal G. Definitions, adjudication, and reporting of pulmonary embolism-related death in clinical studies: a systematic review. J Thromb Haemost 2019; 17 (10) 1590-1607
- 21 Steyerberg EW, Vickers AJ, Cook NR. et al. Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology 2010; 21 (01) 128-138
- 22 Konstantinides SV, Meyer G, Becattini C. et al; ESC Scientific Document Group. 2019 ESC Guidelines for the diagnosis and management of acute pulmonary embolism developed in collaboration with the European Respiratory Society (ERS). Eur Heart J 2020; 41 (04) 543-603
- 23 Klok FA, Meyer G, Konstantinides S. Management of intermediate-risk pulmonary embolism: uncertainties and challenges. Eur J Haematol 2015; 95 (06) 489-497
- 24 Meinel FG, Nance Jr JW, Schoepf UJ. et al. Predictive value of computed tomography in acute pulmonary embolism: systematic review and meta-analysis. Am J Med 2015; 128 (07) 747-59.e2
- 25 Klok FA, Van Der Bijl N, Eikenboom HC. et al. Comparison of CT assessed right ventricular size and cardiac biomarkers for predicting short-term clinical outcome in normotensive patients suspected of having acute pulmonary embolism. J Thromb Haemost 2010; 8 (04) 853-856
- 26 van der Bijl N, Klok FA, Huisman MV. et al. Measurement of right and left ventricular function by ECG-synchronized CT scanning in patients with acute pulmonary embolism: usefulness for predicting short-term outcome. Chest 2011; 140 (04) 1008-1015
- 27 van der Wall SJ, Hendriks SV, Huisman MV, Klok FA. Home treatment of acute pulmonary embolism: state of the art in 2018. Curr Opin Pulm Med 2018; 24 (05) 425-431
- 28 Klok FA, Huisman MV. When I treat a patient with acute pulmonary embolism at home. Hematology (Am Soc Hematol Educ Program) 2020; 2020 (01) 190-194
- 29 Burki NK, Lee LY. Mechanisms of dyspnea. Chest 2010; 138 (05) 1196-1201
- 30 Grob D, Oostveen LJ, Prokop M, Schaefer-Prokop CM, Sechopoulos I, Brink M. Imaging of pulmonary perfusion using subtraction CT angiography is feasible in clinical practice. Eur Radiol 2019; 29 (03) 1408-1414
- 31 Apfaltrer P, Bachmann V, Meyer M. et al. Prognostic value of perfusion defect volume at dual energy CTA in patients with pulmonary embolism: correlation with CTA obstruction scores, CT parameters of right ventricular dysfunction and adverse clinical outcome. Eur J Radiol 2012; 81 (11) 3592-3597
- 32 Im DJ, Hur J, Han K. et al. Prognostic value of dual-energy CT-based iodine quantification versus conventional CT in acute pulmonary embolism: a propensity-match analysis. Korean J Radiol 2020; 21 (09) 1095-1103
- 33 Im DJ, Hur J, Han KH. et al. Acute pulmonary embolism: retrospective cohort study of the predictive value of perfusion defect volume measured with dual-energy CT. AJR Am J Roentgenol 2017; 209 (05) 1015-1022