Literature DB >> 23519007

Effectiveness of automated quantification of pulmonary perfused blood volume using dual-energy CTPA for the severity assessment of acute pulmonary embolism.

Felix G Meinel1, Anita Graef, Fabian Bamberg, Sven F Thieme, Florian Schwarz, Wieland H Sommer, Claus Neurohr, Christian Kupatt, Maximilian F Reiser, Thorsten R C Johnson.   

Abstract

PURPOSE: The purpose of this study was to determine whether automated quantification of pulmonary perfused blood volume (PBV) in dual-energy computed tomography pulmonary angiography is of diagnostic value in assessing the severity of acute pulmonary embolism (PE).
MATERIALS AND METHODS: Ethical approval and informed consent were waived by the responsible institutional review board for this retrospective study. Of 224 consecutive patients with dual-energy computed tomography pulmonary angiographic findings positive for acute PE, we excluded 153 patients because of thoracic comorbidities (n = 130), missing data (n = 11), severe artifacts (n = 11), or inadequate enhancement (n = 1). Automated quantification of PBV was performed in the remaining 71 patients (mean [SD] age, 62 [16] years) with acute PE and no cardiopulmonary comorbidities. Perfused blood volume values adjusted for age and sex were correlated with the Qanadli obstruction score, morphological computed tomographic signs of right heart dysfunction, serum levels of troponin, and the necessity for intensive care unit (ICU) admission.
RESULTS: Dual-energy computed tomography pulmonary angiography-derived PBV values inversely correlated with the Qanadli score (r = -0.46; P < 0.001), the right and left ventricle (RV/LV) ratio (r = -0.52; P < 0.001), and troponin I (r = -0.45; P = 0.001). The patients with global PBV values lower than 60% were significantly more likely to require admission to an ICU than did the patients with global pulmonary PBV of 60% or higher (47% vs 11%; P = 0.003; positive predictive value, 47%; negative predictive value, 89%). On the univariate analysis, a significant negative correlation was found between the global PBV values and the Qanadli obstruction score (r = -0.46; P < 0.001), the RV/LV diameter ratio (r = -0.52; P < 0.001), and the necessity for ICU admission (r = -0.39; P = 0.001). On the retrospective multivariate regression analysis, the areas under the receiver operating characteristic curve for the prediction of ICU admission were 0.75 for the pulmonary PBV, 0.83 for the Qanadli obstruction score, 0.68 for the computed tomographic signs of right heart dysfunction (interventricular septal bowing and/or contrast reflux), and 0.76 for the RV/LV diameter ratio.
CONCLUSIONS: Dual-energy computed tomography pulmonary angiography can be used for an immediate, reader-independent estimation of global pulmonary PBV in acute PE, which inversely correlates with thrombus load, laboratory parameters of PE severity, and the necessity for ICU admission.

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Year:  2013        PMID: 23519007     DOI: 10.1097/RLI.0b013e3182879482

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  17 in total

1.  Clinical risk stratification of acute pulmonary embolism: comparing the usefulness of CTA obstruction score and pulmonary perfusion defect score with dual-energy CT.

Authors:  Wei-Fang Kong; Yu-Ting Wang; Long-Lin Yin; Hong Pu; Ke-Yan Tao
Journal:  Int J Cardiovasc Imaging       Date:  2017-06-13       Impact factor: 2.357

Review 2.  State of the art: utility of multi-energy CT in the evaluation of pulmonary vasculature.

Authors:  Prabhakar Rajiah; Yuki Tanabe; Sasan Partovi; Alastair Moore
Journal:  Int J Cardiovasc Imaging       Date:  2019-05-02       Impact factor: 2.357

Review 3.  Imaging of acute pulmonary embolism: an update.

Authors:  Alastair J E Moore; Jason Wachsmann; Murthy R Chamarthy; Lloyd Panjikaran; Yuki Tanabe; Prabhakar Rajiah
Journal:  Cardiovasc Diagn Ther       Date:  2018-06

Review 4.  Computed tomography of acute pulmonary embolism: state-of-the-art.

Authors:  Long Jiang Zhang; Guang Ming Lu; Felix G Meinel; Andrew D McQuiston; James G Ravenel; U Joseph Schoepf
Journal:  Eur Radiol       Date:  2015-03-13       Impact factor: 5.315

5.  Pulmonary Blood Volume Measured by Dual-Energy Computed Tomography Can Help Distinguish Patients With Pulmonary Hypertension.

Authors:  Kiara Rezaei-Kalantari; Kaveh Samimi; Hamid Zomorodian; Hooman Bakhshandeh; Maryam Jafari; Ali Mohammad Farahmand; Taleb Pourseyedian; Maedeh Sharifian; Salah Dine Qanadli
Journal:  Front Cardiovasc Med       Date:  2022-07-05

6.  Histogram-pattern analysis of the lung perfused blood volume for assessment of pulmonary thromboembolism.

Authors:  Munemasa Okada; Takafumi Nomura; Yoshiteru Nakashima; Yoshie Kunihiro; Shoji Kido
Journal:  Diagn Interv Radiol       Date:  2018 May-Jun       Impact factor: 2.630

7.  Accuracy of dual-energy computed tomography for the measurement of iodine concentration using cardiac CT protocols: validation in a phantom model.

Authors:  James D Koonce; Rozemarijn Vliegenthart; U Joseph Schoepf; Bernhard Schmidt; Amy E Wahlquist; Paul J Nietert; Gorka Bastarrika; Thomas G Flohr; Felix G Meinel
Journal:  Eur Radiol       Date:  2013-10-20       Impact factor: 5.315

8.  Dual-energy CT pulmonary angiography in patients with suspected pulmonary embolism: value for the detection and quantification of pulmonary venous congestion.

Authors:  S F Thieme; F G Meinel; A Graef; A D Helck; M F Reiser; T R C Johnson
Journal:  Br J Radiol       Date:  2014-05-14       Impact factor: 3.039

9.  Refining Risk Stratification in Nonmassive Acute Pulmonary Embolism.

Authors:  Fernando U Kay; Suhny Abbara
Journal:  Radiol Cardiothorac Imaging       Date:  2020-08-27

10.  Quantitative Dual-Energy Computed Tomography Predicts Regional Perfusion Heterogeneity in a Model of Acute Lung Injury.

Authors:  Fernando Uliana Kay; Marcelo A Beraldo; Maria A M Nakamura; Roberta De Santis Santiago; Vinicius Torsani; Susimeire Gomes; Rollin Roldan; Mauro R Tucci; Suhny Abbara; Marcelo B P Amato; Edson Amaro
Journal:  J Comput Assist Tomogr       Date:  2018 Nov/Dec       Impact factor: 1.826

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