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Lanham S, Maiter A, Swift AJ, Dwivedi K, Alabed S, Evans O, Sharkey MJ, Matthews S, Johns CS. The reproducibility of manual RV/LV ratio measurement on CT pulmonary angiography. BJR Open 2022; 4:20220041. [PMID: 38495814 PMCID: PMC10941330 DOI: 10.1259/bjro.20220041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 09/18/2022] [Indexed: 11/29/2022] Open
Abstract
Objectives Right ventricular (RV) dysfunction carries elevated risk in acute pulmonary embolism (PE). An increased ratio between the size of the right and left ventricles (RV/LV ratio) is a biomarker of RV dysfunction. This study evaluated the reproducibility of RV/LV ratio measurement on CT pulmonary angiography (CTPA). Methods 20 inpatient CTPA scans performed to assess for acute PE were retrospectively identified from a tertiary UK centre. Each scan was evaluated by 14 radiologists who provided a qualitative overall opinion on the presence of RV dysfunction and measured the RV/LV ratio. Using a threshold of 1.0, the RV/LV ratio measurements were classified as positive (≥1.0) or negative (<1.0) for RV dysfunction. Interobserver agreement was quantified using the Fleiss κ and intraclass correlation coefficient (ICC). Results Qualitative opinion of RV dysfunction showed weak agreement (κ = 0.42, 95% CI 0.37-0.46). The mean RV/LV ratio measurement for all cases was 1.28 ± 0.68 with significant variation between reporters (p < 0.001). Although agreement for RV/LV measurement was good (ICC = 0.83, 95% CI 0.73-0.91), categorisation of RV dysfunction according to RV/LV ratio measurements showed weak agreement (κ = 0.46, 95% CI 0.41-0.50). Conclusion Both qualitative opinion and quantitative manual RV/LV ratio measurement show poor agreement for identifying RV dysfunction on CTPA. Advances in knowledge Caution should be exerted if using manual RV/LV ratio measurements to inform clinical risk stratification and management decisions.
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Affiliation(s)
- Sarah Lanham
- Department of Clinical Radiology, Sheffield Teaching Hospitals
NHS Foundation Trust, Sheffield, United Kingdom
| | - Ahmed Maiter
- Department of Clinical Radiology, Sheffield Teaching Hospitals
NHS Foundation Trust, Sheffield, United Kingdom
- Department of Infection, Immunity and Cardiovascular Disease,
University of Sheffield, Sheffield, United Kingdom
| | - Andrew J Swift
- Department of Clinical Radiology, Sheffield Teaching Hospitals
NHS Foundation Trust, Sheffield, United Kingdom
- Department of Infection, Immunity and Cardiovascular Disease,
University of Sheffield, Sheffield, United Kingdom
- INSIGNEO Institute for In Silico Medicine, University of
Sheffield, Sheffield, United Kingdom
| | - Krit Dwivedi
- Department of Clinical Radiology, Sheffield Teaching Hospitals
NHS Foundation Trust, Sheffield, United Kingdom
- Department of Infection, Immunity and Cardiovascular Disease,
University of Sheffield, Sheffield, United Kingdom
- INSIGNEO Institute for In Silico Medicine, University of
Sheffield, Sheffield, United Kingdom
| | - Samer Alabed
- Department of Clinical Radiology, Sheffield Teaching Hospitals
NHS Foundation Trust, Sheffield, United Kingdom
- Department of Infection, Immunity and Cardiovascular Disease,
University of Sheffield, Sheffield, United Kingdom
- INSIGNEO Institute for In Silico Medicine, University of
Sheffield, Sheffield, United Kingdom
| | - Oscar Evans
- Department of Clinical Radiology, Sheffield Teaching Hospitals
NHS Foundation Trust, Sheffield, United Kingdom
| | - Michael J Sharkey
- Department of Infection, Immunity and Cardiovascular Disease,
University of Sheffield, Sheffield, United Kingdom
- INSIGNEO Institute for In Silico Medicine, University of
Sheffield, Sheffield, United Kingdom
| | - Suzanne Matthews
- Department of Clinical Radiology, Sheffield Teaching Hospitals
NHS Foundation Trust, Sheffield, United Kingdom
| | - Christopher S Johns
- Department of Clinical Radiology, Sheffield Teaching Hospitals
NHS Foundation Trust, Sheffield, United Kingdom
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Xia W, Yu H, Chen W, Chen B, Huang Y. A Radiological Nomogram to Predict 30-day Mortality in Patients with Acute Pulmonary Embolism. Acad Radiol 2021; 29:1169-1177. [PMID: 34953727 DOI: 10.1016/j.acra.2021.11.021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 11/20/2021] [Accepted: 11/22/2021] [Indexed: 11/27/2022]
Abstract
RATIONALE AND OBJECTIVES Acute pulmonary embolism (APE) is a common disease with a high mortality, especially in the short term. Computed tomographic pulmonary angiography (CTPA) is a recommended method in the diagnostic workup for APE; thus, this study aimed to establish a CTPA-based radiological nomogram to predict the 30-day mortality in patients with APE, and to further compare this model with the pulmonary embolism severity index (PESI) and simplified pulmonary embolism severity index (SPESI). MATERIALS AND METHODS We retrospectively recruited 158 adults with confirmed APE who underwent CTPA from August 1, 2017, to August 1, 2020. These adults were stratified into two groups according to their 30-day mortality. CTPA-based variables were analyzed using univariate and multivariate analyses, independent risk factors for 30-day mortality were established, and a radiological nomogram was constructed. Subsequently, PESI and SPESI were calculated. The performance of the radiological nomogram model was compared to that of the PESI and SPESI using decision curve analysis and receiver-operating characteristic curve analysis. RESULTS Thirty-three patients died within 30 days (30-day mortality rate, 20.9%). On logistic regression analysis, the right and left ventricular diameter ratio (odds ratio [OR] = 8.709, 95% confidence interval [CI]: 1.085-69.903, p = 0.042), ventricular septal bowing (OR = 8.085, 95% CI: 1.947-33.567, p = 0.004), chronic bronchitis (OR = 4.383, 95% CI: 1.025-18.740, p = 0.046), malignant lung lesions (OR = 17.530, 95% CI: 2.408-127.636, p = 0.005), and pneumonia (OR = 3.477, 95% CI: 1.123-10.766, p = 0.031) were identified as the independent predictors of 30-day mortality. The area under the curve of the radiological nomogram, PESI, and SPESI were 0.900 (95% CI: 0.828-0.971), 0.729 (95% CI: 0.642-0.815), and 0.718 (95% CI: 0.621-0.815), respectively. CONCLUSION The CTPA-based radiological nomogram appeared valuable for the prediction of 30-day mortality in patients with APE, and was superior to both PESI and SPESI.
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Bacon JL, Madden BP, Gissane C, Sayer C, Sheard S, Vlahos I. Vascular and Parenchymal Enhancement Assessment by Dual-Phase Dual-Energy CT in the Diagnostic Investigation of Pulmonary Hypertension. Radiol Cardiothorac Imaging 2020; 2:e200009. [PMID: 33778636 DOI: 10.1148/ryct.2020200009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 08/30/2020] [Accepted: 10/20/2020] [Indexed: 11/11/2022]
Abstract
Purpose To evaluate pulmonary hypertension (PH) determination by dual-phase dual-energy CT pulmonary angiography vascular enhancement and perfused blood volume (PBV) quantification. Materials and Methods In this prospective study, consecutive participants who underwent both right heart catheterization and dual-phase dual-energy CT pulmonary angiography were included between 2012 and 2014. CT evaluation comprised a standard pulmonary arterial phase dual-energy CT pulmonary angiography acquisition (termed series 1) followed 7 seconds after series 1 completion by a second dual-energy CT pulmonary angiography acquisition limited to the central 10 cm of the pulmonary vasculature (termed series 2). In both series, enhancement in the main pulmonary artery (PAenh), the descending aorta (DAenh), and whole-lung PBV (WLenh) was calculated from dual-energy CT pulmonary angiography iodine images. Dual-energy CT pulmonary angiography and standard cardiovascular metrics were correlated to mean pulmonary artery pressure (mPAP) and pulmonary vascular resistance (PVR) with additional receiver operating characteristic curve analysis. Results A total of 102 participants (median age, 70; range, 58-78 years; 60 women) were included. Sixty-five participants had PH defined by mPAP of greater than or equal to 25 mm Hg, and 51 participants had PH defined by PVR of greater than 3 Wood units. By either definition, participants with PH had higher PAenh/WLenh ratio and lower WLenh and DAenh in series 1 (P < .05) and higher PAenh and WLenh in series 2 (P < .05). Change in WLenh determined highest diagnostic accuracy to define disease by mPAP (area under the receiver operating characteristic curve [AUC], 0.78) and PVR (AUC, 0.79) and the best mPAP correlation (r = 0.62). PAenh series 2 correlated best with PVR (r = 0.49). Multiple linear regression analysis incorporating WLenh and series 1 DAenh improved PVR correlation (r = 0.56). Combining these dual-energy CT pulmonary angiography metrics with main pulmonary artery size and right-to-left ventricular ratio achieved the highest correlations (mPAP, r = 0.71; PVR, r = 0.64). Conclusion Dual-phase dual-energy CT pulmonary angiography enhancement quantification appears to improve mPAP and PVR prediction in noninvasive PH evaluation.Supplemental material is available for this article.See also the commentary by Kay in this issue.© RSNA, 2020.
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Affiliation(s)
- Jenny Louise Bacon
- Departments of Cardiothoracic Medicine (J.L.B., B.P.M.) and Thoracic Imaging (I.V.), St George's University Hospitals NHS Foundation Trust and St George's University of London, Blackshaw Road, London SW17 0QT, England; School of Sport, Health and Applied Science, St Mary's University, London, England (C.G.); and Department of Radiology, St George's University Hospitals NHS Foundation Trust, London, England (C.S., S.S.)
| | - Brendan Patrick Madden
- Departments of Cardiothoracic Medicine (J.L.B., B.P.M.) and Thoracic Imaging (I.V.), St George's University Hospitals NHS Foundation Trust and St George's University of London, Blackshaw Road, London SW17 0QT, England; School of Sport, Health and Applied Science, St Mary's University, London, England (C.G.); and Department of Radiology, St George's University Hospitals NHS Foundation Trust, London, England (C.S., S.S.)
| | - Conor Gissane
- Departments of Cardiothoracic Medicine (J.L.B., B.P.M.) and Thoracic Imaging (I.V.), St George's University Hospitals NHS Foundation Trust and St George's University of London, Blackshaw Road, London SW17 0QT, England; School of Sport, Health and Applied Science, St Mary's University, London, England (C.G.); and Department of Radiology, St George's University Hospitals NHS Foundation Trust, London, England (C.S., S.S.)
| | - Charles Sayer
- Departments of Cardiothoracic Medicine (J.L.B., B.P.M.) and Thoracic Imaging (I.V.), St George's University Hospitals NHS Foundation Trust and St George's University of London, Blackshaw Road, London SW17 0QT, England; School of Sport, Health and Applied Science, St Mary's University, London, England (C.G.); and Department of Radiology, St George's University Hospitals NHS Foundation Trust, London, England (C.S., S.S.)
| | - Sarah Sheard
- Departments of Cardiothoracic Medicine (J.L.B., B.P.M.) and Thoracic Imaging (I.V.), St George's University Hospitals NHS Foundation Trust and St George's University of London, Blackshaw Road, London SW17 0QT, England; School of Sport, Health and Applied Science, St Mary's University, London, England (C.G.); and Department of Radiology, St George's University Hospitals NHS Foundation Trust, London, England (C.S., S.S.)
| | - Ioannis Vlahos
- Departments of Cardiothoracic Medicine (J.L.B., B.P.M.) and Thoracic Imaging (I.V.), St George's University Hospitals NHS Foundation Trust and St George's University of London, Blackshaw Road, London SW17 0QT, England; School of Sport, Health and Applied Science, St Mary's University, London, England (C.G.); and Department of Radiology, St George's University Hospitals NHS Foundation Trust, London, England (C.S., S.S.)
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Bax S, Jacob J, Ahmed R, Bredy C, Dimopoulos K, Kempny A, Kokosi M, Kier G, Renzoni E, Molyneaux PL, Chua F, Kouranos V, George P, McCabe C, Wilde M, Devaraj A, Wells A, Wort SJ, Price LC. Right Ventricular to Left Ventricular Ratio at CT Pulmonary Angiogram Predicts Mortality in Interstitial Lung Disease. Chest 2020; 157:89-98. [PMID: 31351047 PMCID: PMC7615159 DOI: 10.1016/j.chest.2019.06.033] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 04/24/2019] [Accepted: 06/06/2019] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Patients with interstitial lung disease (ILD) may develop pulmonary hypertension (PH), often disproportionate to the severity of the ILD. The right ventricular to left ventricular diameter (RV:LV) ratio measured at CT pulmonary angiogram (CTPA) has been shown to provide valuable information in patients with pulmonary arterial hypertension and to predict death or deterioration in acute pulmonary embolism. METHODS Demographic characteristics, ILD subtype, echocardiography, and detailed CTPA measurements were collected in consecutive patients undergoing both CTPA and right heart catheterization at the Royal Brompton Hospital between 2005 and 2015. Fibrosis severity was formally scored according to CT criteria. The RV:LV ratio at CTPA was evaluated by using three different methods. Cox proportional hazards analysis was used to assess the relation of CTPA-derived parameters to predict death or lung transplantation. RESULTS A total of 92 patients were included (64% male; mean age 65 ± 11 years) with an FVC 57 ± 20% predicted, corrected transfer factor of the lung for carbon monoxide 22 ± 8% predicted, and corrected transfer coefficient of the lung for carbon monoxide 51 ± 17% predicted. PH was confirmed at right heart catheterization in 78%. Of all the CTPA-derived measures, an RV:LV ratio ≥ 1.0 strongly predicted mortality or transplantation at univariate analysis (hazard ratio, 3.26; 95% CI, 1.49-7.13; P = .003), whereas invasive hemodynamic data did not. The RV:LV ratio remained an independent predictor at multivariate analysis (hazard ratio, 3.19; 95% CI, 1.44-7.10; P = .004), adjusting for an ILD diagnosis of idiopathic pulmonary fibrosis and CT imaging-derived ILD severity. CONCLUSIONS An increased RV:LV ratio measured at CTPA provides a simple, noninvasive method of risk stratification in patients with suspected ILD-PH. This should prompt closer follow-up, more aggressive treatment, and consideration of lung transplantation.
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Affiliation(s)
- Simon Bax
- National Pulmonary Hypertension Service, Royal Brompton and Harefield NHS Trust
- Surrey and Sussex Hospital, Redhill, Canada Ave, Redhill, Surrey, UK
- National Heart and Lung Institute, Imperial College, London, UK
| | - Joseph Jacob
- Department of Respiratory Medicine, University College London, London, UK
- Centre for Medical Image Computing, University College London, London, UK
| | - Riaz Ahmed
- Surrey and Sussex Hospital, Redhill, Canada Ave, Redhill, Surrey, UK
| | - Charlene Bredy
- National Pulmonary Hypertension Service, Royal Brompton and Harefield NHS Trust
- CHU Arnaud de Villeneuve, Montpellier, France
| | - Konstantinos Dimopoulos
- National Pulmonary Hypertension Service, Royal Brompton and Harefield NHS Trust
- National Heart and Lung Institute, Imperial College, London, UK
| | - Aleksander Kempny
- National Pulmonary Hypertension Service, Royal Brompton and Harefield NHS Trust
| | - Maria Kokosi
- Department of Interstitial Lung Diseases, Royal Brompton and Harefield NHS Trust
| | - Gregory Kier
- Princess Alexandra Hospital, Department of Respiratory Medicine, Woolloongabba, Australia
| | - Elisabetta Renzoni
- Department of Interstitial Lung Diseases, Royal Brompton and Harefield NHS Trust
| | - Philip L Molyneaux
- Department of Interstitial Lung Diseases, Royal Brompton and Harefield NHS Trust
- Fibrosis Research Group, National Heart and Lung Institute, Imperial College, London, UK
| | - Felix Chua
- Department of Interstitial Lung Diseases, Royal Brompton and Harefield NHS Trust
| | - Vasilis Kouranos
- Department of Interstitial Lung Diseases, Royal Brompton and Harefield NHS Trust
| | - Peter George
- National Heart and Lung Institute, Imperial College, London, UK
- Department of Interstitial Lung Diseases, Royal Brompton and Harefield NHS Trust
| | - Colm McCabe
- National Pulmonary Hypertension Service, Royal Brompton and Harefield NHS Trust
| | - Michael Wilde
- Surrey and Sussex Hospital, Redhill, Canada Ave, Redhill, Surrey, UK
| | - Anand Devaraj
- Department of Radiology, Royal Brompton and Harefield NHS Trust
| | - Athol Wells
- Department of Interstitial Lung Diseases, Royal Brompton and Harefield NHS Trust
| | - S John Wort
- National Pulmonary Hypertension Service, Royal Brompton and Harefield NHS Trust
- National Heart and Lung Institute, Imperial College, London, UK
| | - Laura C Price
- National Pulmonary Hypertension Service, Royal Brompton and Harefield NHS Trust
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Implementation and Performance of Automated Software for Computing Right-to-Left Ventricular Diameter Ratio From Computed Tomography Pulmonary Angiography Images. J Comput Assist Tomogr 2017; 40:387-92. [PMID: 26938697 DOI: 10.1097/rct.0000000000000375] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The aim of this study was to prospectively test the performance and potential for clinical integration of software that automatically calculates the right-to-left ventricular (RV/LV) diameter ratio from computed tomography pulmonary angiography images. METHODS Using 115 computed tomography pulmonary angiography images that were positive for acute pulmonary embolism, we prospectively evaluated RV/LV ratio measurements that were obtained as follows: (1) completely manual measurement (reference standard), (2) completely automated measurement using the software, and (3 and 4) using a customized software interface that allowed 2 independent radiologists to manually adjust the automatically positioned calipers. RESULTS Automated measurements underestimated (P < 0.001) the reference standard (1.09 [0.25] vs1.03 [0.35]). With manual correction of the automatically positioned calipers, the mean ratio became closer to the reference standard (1.06 [0.29] by read 1 and 1.07 [0.30] by read 2), and the correlation improved (r = 0.675 to 0.872 and 0.887). The mean time required for manual adjustment (37 [20] seconds) was significantly less than the time required to perform measurements entirely manually (100 [23] seconds). CONCLUSIONS Automated CT RV/LV diameter ratio software shows promise for integration into the clinical workflow for patients with acute pulmonary embolism.
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Kumamaru KK, Saboo SS, Aghayev A, Cai P, Quesada CG, George E, Hussain Z, Cai T, Rybicki FJ. CT pulmonary angiography-based scoring system to predict the prognosis of acute pulmonary embolism. J Cardiovasc Comput Tomogr 2016; 10:473-479. [PMID: 27591768 DOI: 10.1016/j.jcct.2016.08.007] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Revised: 08/07/2016] [Accepted: 08/20/2016] [Indexed: 11/27/2022]
Abstract
BACKGROUND The purpose is to develop a comprehensive risk-scoring system based on CT findings for predicting 30-day mortality after acute pulmonary embolism (PE), and to compare it with PE Severity Index (PESI). MATERIALS AND METHODS The study included consecutive 1698 CT pulmonary angiograms (CTPA) positive for acute PE performed at a single institution (2003-2010). Two radiologists independently assessed each study regarding clinically relevant findings and then performed adjudication. These variables plus patient clinical information were included to build a LASSO logistic regression model to predict 30-day mortality. A point score for each significant variable was generated based on the final model. PESI score was calculated in 568 patients who visited the hospital after 2007. RESULTS Inter-reader agreements of interpretations were >95% except for septal bowing (92%). The final prediction model showed superior ability over PESI (AUC = 0.822 vs 0.745) for predicting all-cause 30-day mortality (12.4%). The scoring system based on the significant variables (age (years), pleural effusion (+20), pericardial effusion (+20), lung/liver/bone lesions suggesting malignancy (+60), chronic interstitial lung disease (+20), enlarged lymph node in thorax (+20), and ascites (+40)) stratified patients into 4 severity categories, with mortality rates of 0.008% in class-I (≤50 pt), 3.8% in class-II (51-100 pt), 17.6% in class-III (101-150 pt), and 40.9% in class-IV (>150 pt). The mortality rate in the CTPA-high risk category (class-IV) was higher than those in the PESI's high risk (27.4%) and very high risk (25.2%) categories. CONCLUSION The CTPA-based model was superior to PESI in predicting 30-day mortality. Incorporating the CTPA-based scoring system into image interpretation workflows may help physicians to select the most appropriate management approach for individual patients.
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Affiliation(s)
- Kanako K Kumamaru
- Applied Imaging Science Laboratory, Department of Radiology, Brigham and Women's Hospital & Harvard Medical School, Boston, MA, United States; Department of Radiology, Juntendo Univeristy, Tokyo, Japan.
| | - Sachin S Saboo
- Applied Imaging Science Laboratory, Department of Radiology, Brigham and Women's Hospital & Harvard Medical School, Boston, MA, United States; Department of Radiology, UT Southwestern Medical Center, Dallas, TX, United States
| | - Ayaz Aghayev
- Applied Imaging Science Laboratory, Department of Radiology, Brigham and Women's Hospital & Harvard Medical School, Boston, MA, United States
| | - Phoebe Cai
- Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Carlos Gonzalez Quesada
- Department of Medicine, Brigham and Women's Hospital & Harvard Medical School, Boston, MA, United States
| | - Elizabeth George
- Applied Imaging Science Laboratory, Department of Radiology, Brigham and Women's Hospital & Harvard Medical School, Boston, MA, United States
| | - Zoha Hussain
- Applied Imaging Science Laboratory, Department of Radiology, Brigham and Women's Hospital & Harvard Medical School, Boston, MA, United States
| | - Tianrun Cai
- Applied Imaging Science Laboratory, Department of Radiology, Brigham and Women's Hospital & Harvard Medical School, Boston, MA, United States
| | - Frank J Rybicki
- Applied Imaging Science Laboratory, Department of Radiology, Brigham and Women's Hospital & Harvard Medical School, Boston, MA, United States; Department of Radiology, The University of Ottawa and The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
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Pulmonary hypertension and right ventricular dysfunction in patients with left to right shunt coronary artery fistula: evaluation with cardiac CT. Int J Cardiovasc Imaging 2016; 32 Suppl 1:91-104. [PMID: 27016094 DOI: 10.1007/s10554-016-0868-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2016] [Accepted: 03/02/2016] [Indexed: 10/22/2022]
Abstract
In this study, we aimed to evaluate whether patients with left to right shunt coronary artery fistula (LRSCAF) are predisposed to developing pulmonary hypertension and right ventricular dysfunction compared with healthy individuals. The value of cardiac CT findings in determining the necessity of intervention for these patients was investigated. We retrospectively studied 19 patients with LRSCAF and 19 healthy patients. Several parameters were observed on cardiac CT by two radiologists, including pulmonary trunk diameter (PA diameter), right ventricular diameter (RVD), left ventricular diameter (LVD), RVD/LVD ratio, septal bowing and CT score of right ventricular dysfunction (CSRVD). Data from both groups were compared. The inter- and intra-observer variabilities and correlations were examined. The disease group was further divided into intervention (n = 9) and non-intervention (n = 10) groups, and their data were compared. All cardiac CT findings showed significant intra- and inter-observer correlation without significant variability. Mann-Whitney U tests and χ(2) analysis showed that PA diameter, RVD/LVD ratio acquired from two observers, and CSRVD were higher in the disease group than in the control group (all P values < 0.05 for χ(2) and almost all P values < 0.05 for Mann-Whitney U). The RVD/LVD ratio and CSRVD were higher in the intervention group than in the non-intervention group (all P values < 0.05). Receiver operating curve analysis identified RVD/LVD = 1.036 and CSRVD = 3.5 as the best cut-off values to determine the necessity of further intervention. Patients with LRSCAF are more predisposed to pulmonary hypertension and right ventricular dysfunction compared with the normal population. RVD/LVD > 1.0 and CSRVD ≥ 4.0 may determine the necessity of intervention for patients with LRSCAF.
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Karia S, Screaton N. Pulmonary embolism. IMAGING 2016. [DOI: 10.1183/2312508x.10002615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
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9
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González G, Jiménez-Carretero D, Rodríguez-López S, Kumamaru KK, George E, San José Estépar R, Rybicki FJ, Ledesma-Carbayo MJ. Automated axial right ventricle to left ventricle diameter ratio computation in computed tomography pulmonary angiography. PLoS One 2015; 10:e0127797. [PMID: 26000632 PMCID: PMC4441508 DOI: 10.1371/journal.pone.0127797] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Accepted: 04/18/2015] [Indexed: 11/21/2022] Open
Abstract
Background and Purpose Right Ventricular to Left Ventricular (RV/LV) diameter ratio has been shown to be a prognostic biomarker for patients suffering from acute Pulmonary Embolism (PE). While Computed Tomography Pulmonary Angiography (CTPA) images used to confirm a clinical suspicion of PE do include information of the heart, a numerical RV/LV diameter ratio is not universally reported, likely because of lack in training, inter-reader variability in the measurements, and additional effort by the radiologist. This study designs and validates a completely automated Computer Aided Detection (CAD) system to compute the axial RV/LV diameter ratio from CTPA images so that the RV/LV diameter ratio can be a more objective metric that is consistently reported in patients for whom CTPA diagnoses PE. Materials and Methods The CAD system was designed specifically for RV/LV measurements. The system was tested in 198 consecutive CTPA patients with acute PE. Its accuracy was evaluated using reference standard RV/LV radiologist measurements and its prognostic value was established for 30-day PE-specific mortality and a composite outcome of 30-day PE-specific mortality or the need for intensive therapies. The study was Institutional Review Board (IRB) approved and HIPAA compliant. Results The CAD system analyzed correctly 92.4% (183/198) of CTPA studies. The mean difference between automated and manually computed axial RV/LV ratios was 0.03±0.22. The correlation between the RV/LV diameter ratio obtained by the CAD system and that obtained by the radiologist was high (r=0.81). Compared to the radiologist, the CAD system equally achieved high accuracy for the composite outcome, with areas under the receiver operating characteristic curves of 0.75 vs. 0.78. Similar results were found for 30-days PE-specific mortality, with areas under the curve of 0.72 vs. 0.75. Conclusions An automated CAD system for determining the CT derived RV/LV diameter ratio in patients with acute PE has high accuracy when compared to manual measurements and similar prognostic significance for two clinical outcomes.
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Affiliation(s)
- Germán González
- Madrid-MIT M+Visión Consortium, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- Surgical Planning Laboratory, Brigham and Women´s Hospital, Boston, Massachusetts, United States of America
- * E-mail:
| | | | - Sara Rodríguez-López
- Biomedical Image Technologies, Universidad Politécnica de Madrid & CIBER-BBN, Madrid, Spain
| | - Kanako K. Kumamaru
- Applied Imaging Science Laboratory, Brigham and Women´s Hospital, Boston, Massachusetts, United States of America
| | - Elizabeth George
- Applied Imaging Science Laboratory, Brigham and Women´s Hospital, Boston, Massachusetts, United States of America
| | - Raúl San José Estépar
- Surgical Planning Laboratory, Brigham and Women´s Hospital, Boston, Massachusetts, United States of America
| | - Frank J. Rybicki
- Applied Imaging Science Laboratory, Brigham and Women´s Hospital, Boston, Massachusetts, United States of America
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Yu S, Kumamaru KK, George E, Dunne RM, Bedayat A, Neykov M, Hunsaker AR, Dill KE, Cai T, Rybicki FJ. Classification of CT pulmonary angiography reports by presence, chronicity, and location of pulmonary embolism with natural language processing. J Biomed Inform 2014; 52:386-93. [PMID: 25117751 PMCID: PMC4261018 DOI: 10.1016/j.jbi.2014.08.001] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2014] [Revised: 07/01/2014] [Accepted: 08/01/2014] [Indexed: 11/17/2022]
Abstract
In this paper we describe an efficient tool based on natural language processing for classifying the detail state of pulmonary embolism (PE) recorded in CT pulmonary angiography reports. The classification tasks include: PE present vs. absent, acute PE vs. others, central PE vs. others, and subsegmental PE vs. others. Statistical learning algorithms were trained with features extracted using the NLP tool and gold standard labels obtained via chart review from two radiologists. The areas under the receiver operating characteristic curves (AUC) for the four tasks were 0.998, 0.945, 0.987, and 0.986, respectively. We compared our classifiers with bag-of-words Naive Bayes classifiers, a standard text mining technology, which gave AUC 0.942, 0.765, 0.766, and 0.712, respectively.
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Affiliation(s)
- Sheng Yu
- Partners HealthCare Personalized Medicine, Brigham and Women's Hospital & Harvard Medical School, Boston, MA, United States.
| | - Kanako K Kumamaru
- Applied Imaging Science Laboratory, Department of Radiology, Brigham and Women's Hospital & Harvard Medical School, Boston, MA, United States
| | - Elizabeth George
- Applied Imaging Science Laboratory, Department of Radiology, Brigham and Women's Hospital & Harvard Medical School, Boston, MA, United States
| | - Ruth M Dunne
- Thoracic Imaging, Department of Radiology, Brigham and Women's Hospital & Harvard Medical School, Boston, MA, United States
| | - Arash Bedayat
- Applied Imaging Science Laboratory, Department of Radiology, Brigham and Women's Hospital & Harvard Medical School, Boston, MA, United States; Department of Radiology, University of Massachusetts Medical School, Worcester, MA, United States
| | - Matey Neykov
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, United States
| | - Andetta R Hunsaker
- Thoracic Imaging, Department of Radiology, Brigham and Women's Hospital & Harvard Medical School, Boston, MA, United States
| | - Karin E Dill
- Department of Radiology, University of Chicago, Chicago, IL, United States
| | - Tianxi Cai
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, United States
| | - Frank J Rybicki
- Applied Imaging Science Laboratory, Department of Radiology, Brigham and Women's Hospital & Harvard Medical School, Boston, MA, United States
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11
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Portopulmonary hypertension: Improved detection using CT and echocardiography in combination. Eur Radiol 2014; 24:2385-93. [DOI: 10.1007/s00330-014-3289-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2014] [Revised: 05/27/2014] [Accepted: 06/24/2014] [Indexed: 12/13/2022]
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12
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Remy-Jardin M, Pontana F, Faivre JB, Molinari F, Pagniez J, Khung S, Remy J. New Insights in Thromboembolic Disease. Radiol Clin North Am 2014; 52:183-93. [DOI: 10.1016/j.rcl.2013.08.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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13
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Trujillo-Santos J, den Exter PL, Gómez V, Del Castillo H, Moreno C, van der Hulle T, Huisman MV, Monreal M, Yusen RD, Jiménez D. Computed tomography-assessed right ventricular dysfunction and risk stratification of patients with acute non-massive pulmonary embolism: systematic review and meta-analysis. J Thromb Haemost 2013; 11:1823-32. [PMID: 23964984 DOI: 10.1111/jth.12393] [Citation(s) in RCA: 70] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2013] [Accepted: 08/15/2013] [Indexed: 12/21/2022]
Abstract
BACKGROUND The ability of computed tomography (CT)-assessed right ventricular dysfunction (RVD) to identify normotensive patients with acute pulmonary embolism (PE) at high risk of mortality or adverse outcome lacks clarity. METHODS AND RESULTS We performed a systematic review and a meta-analysis of studies in normotensive patients with acute PE to assess the prognostic value of CT-assessed RVD for death and a predefined composite outcome of PE-related complications. We conducted unrestricted searches of MEDLINE and EMBASE from 1980 to March 2013, and used the terms 'computed tomography', 'pulmonary embolism', and 'prognos*'. We used a random-effects model to pool study results, funnel-plot inspection to evaluate for publication bias, and I(2) testing to assess for heterogeneity. The analysis included data from 10 studies (2288 patients). Overall, 99 of 1268 patients with RVD assessed by CT died (7.8%; 95% confidence interval [CI] 6.3-9.3) as compared with 52 of 1020 without RVD (5.1%; 95% CI 3.7-6.4). CT-assessed RVD had significant associations with mortality (odds ratio [OR] 1.8; 95% CI 1.3-2.6), with death resulting from PE (OR 7.4; 95% CI 1.4-39.5), and with PE-related complications (OR 2.4; 95% CI 1.2-4.7). Pooled likelihood ratios (LRs) were not extreme (negative LR 0.71; 95% CI 0.57-0.89; and positive LR 1.27; 95% CI 1.12-1.43). CONCLUSIONS Although RVD assessed by CT showed an association with an increased risk of mortality in patients with hemodynamically stable PE, it resulted in only small increases in the ability to classify risk.
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Affiliation(s)
- J Trujillo-Santos
- Department of Medicine, Santa Lucía Hospital, Cartagena, Murcia, Spain
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14
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Right ventricular enlargement in acute pulmonary embolism derived from CT pulmonary angiography. Int J Cardiovasc Imaging 2013; 29:705-8. [PMID: 23053855 DOI: 10.1007/s10554-012-0126-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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15
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Chow V, Ng ACC, Chung T, Thomas L, Kritharides L. Right atrial to left atrial area ratio on early echocardiography predicts long-term survival after acute pulmonary embolism. Cardiovasc Ultrasound 2013; 11:17. [PMID: 23725312 PMCID: PMC3673888 DOI: 10.1186/1476-7120-11-17] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2013] [Accepted: 05/27/2013] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Current guidelines recommend that transthoracic echocardiography (TTE) should be performed for acute risk stratification following acute pulmonary embolism (PE), but it is unclear whether the initial TTE can predict long-term outcome beyond six months. We sought to assess the potential of the initial right atrial (RA) to left atrial (LA) area ratio (RA/LA ratio) on TTE to predict long-term mortality in survivors of submassive PE. METHODS A derivation cohort comprised a previously reported group of 35 consecutive patients with acute PE who were intensively studied by serial TTE at 1, 2, 5 days, 2, 6, 12 and 26 weeks and RA/LA ratio related to long-term outcome. The Day 1 RA/LA ratio findings were then further related to long-term outcome in 158 patients followed for 3.6 ± 2.3 years. RESULTS In the derivation cohort, total mortality was 28.6% (n = 10) following a mean (±standard deviation) follow-up of 4.3 ± 1.9 years. The RA/LA ratio was highly dynamic, being increased at day 1, but normalised rapidly within 2-5 days of presentation and this was most marked amongst long-term non-survivors. A RA/LA ratio > 1.0 on day 1 was independently associated with a three-fold increase in long-term mortality on Kaplan-Meier analysis. Pooled analysis of 158 patient indicated that age, Charlson Comorbidity Index (CCI), simplified Pulmonary Embolism Severity Score (PESI), troponin T, day 1 RA/LA Ratio and pulmonary arterial systolic pressure (PASP) were univariate predictors of long-term mortality. Multivariate analysis identified Day 1 RA/LA Ratio (HR 1.7 per 10% increase, p = 0.002), CCI (HR 2.2 per 1 unit increase, p = 0.004) and age (HR 1.1, p = 0.03) as the only independent predictors of long-term mortality. CONCLUSION A RA/LA Ratio >1.0 at presentation with acute PE was associated with a three-fold increased risk of long-term mortality. The RA/LA ratio on presentation with an acute PE is a simple, novel predictor of long-term survival.
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Affiliation(s)
- Vincent Chow
- Concord Repatriation General Hospital and The University of Sydney, Sydney, Australia
| | - Austin Chin Chwan Ng
- Concord Repatriation General Hospital and The University of Sydney, Sydney, Australia
| | - Tommy Chung
- Concord Repatriation General Hospital and The University of Sydney, Sydney, Australia
| | - Liza Thomas
- Liverpool Hospital, University of New South Wales, Sydney, Australia
| | - Leonard Kritharides
- Concord Repatriation General Hospital and The University of Sydney, Sydney, Australia
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