1
|
Zicans M, Kazoka D, Pilmane M, Skride A. The Importance of Topographical Recognition of Pulmonary Arteries in Diagnostics and Treatment of CTEPH, Based on an Analysis of a Dissected Case Model-A Pilot Study. Diagnostics (Basel) 2024; 14:1684. [PMID: 39125560 PMCID: PMC11311259 DOI: 10.3390/diagnostics14151684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Revised: 07/25/2024] [Accepted: 08/01/2024] [Indexed: 08/12/2024] Open
Abstract
BACKGROUND Knowledge of the anatomy of pulmonary arteries is essential in many invasive procedures concerning pulmonary circulation. In the diagnosis and treatment of chronic thromboembolic pulmonary hypertension (CTEPH), two-dimensional (2D) pulmonary angiography is used. Recognizing the topographic course of the pulmonary arteries and understanding the status in three dimensions (3D) is paramount. This study aimed to evaluate and describe the branching variant of pulmonary arteries in a single case, as well as morphological parameters of the segmental arteries, like length, diameter and branching angles. METHODS One pair of embalmed human cadaver lungs was dissected by a scalpel and surgical forceps and was measured up to the subsegmental arteries. RESULTS The diameters (ranging from 3.04 to 9.29 mm) and lengths (ranging from 9.09 to 53.91 mm) of the pulmonary segmental arteries varied. The proximal branching angles were wide and close to perpendicular, while distally, the angles between the segmental and subsegmental arteries were narrower (30-45°). Upon evaluating the branching, rare variations were identified and delineated, notably in the lower lobes of both lungs. CONCLUSIONS Utilizing knowledge and data in clinical settings is instrumental for effectively diagnosing and treating CTEPH. Further research is required to explore the complications in invasive procedures related to various anatomical variations.
Collapse
Affiliation(s)
- Matiss Zicans
- Faculty of Medicine, Rīga Stradiņš University, LV-1007 Riga, Latvia
| | - Dzintra Kazoka
- Institute of Anatomy and Anthropology, Rīga Stradiņš University, LV-1010 Riga, Latvia; (D.K.); (M.P.)
| | - Mara Pilmane
- Institute of Anatomy and Anthropology, Rīga Stradiņš University, LV-1010 Riga, Latvia; (D.K.); (M.P.)
| | - Andris Skride
- Department of Internal Diseases, Rīga Stradiņš University, LV-1007 Riga, Latvia;
- Pauls Stradiņš Clinical University Hospital, LV-1002 Riga, Latvia
| |
Collapse
|
2
|
Colebank MJ, Chesler NC. Efficient uncertainty quantification in a spatially multiscale model of pulmonary arterial and venous hemodynamics. Biomech Model Mechanobiol 2024:10.1007/s10237-024-01875-x. [PMID: 39073691 DOI: 10.1007/s10237-024-01875-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 07/11/2024] [Indexed: 07/30/2024]
Abstract
Pulmonary hypertension (PH) is a debilitating disease that alters the structure and function of both the proximal and distal pulmonary vasculature. This alters pressure-flow relationships in the pulmonary arterial and venous trees, though there is a critical knowledge gap in the relationships between proximal and distal hemodynamics in disease. Multiscale computational models enable simulations in both the proximal and distal vasculature. However, model inputs and measured data are inherently uncertain, requiring a full analysis of the sensitivity and uncertainty of the model. Thus, this study quantifies model sensitivity and output uncertainty in a spatially multiscale, pulse-wave propagation model of pulmonary hemodynamics. The model includes fifteen proximal arteries and twelve proximal veins, connected by a two-sided, structured tree model of the distal vasculature. We use polynomial chaos expansions to expedite sensitivity and uncertainty quantification analyses and provide results for both the proximal and distal vasculature. We quantify uncertainty in blood pressure, blood flow rate, wave intensity, wall shear stress, and cyclic stretch. The latter two are important stimuli for endothelial cell mechanotransduction. We conclude that, while nearly all the parameters in our system have some influence on model predictions, the parameters describing the density of the microvascular beds have the largest effects on all simulated quantities in both the proximal and distal arterial and venous circulations.
Collapse
Affiliation(s)
- M J Colebank
- Department of Biomedical Engineering, Edwards Lifesciences Foundation Cardiovascular Innovation and Research Center, University of California, Irvine, CA, USA.
| | - N C Chesler
- Department of Biomedical Engineering, Edwards Lifesciences Foundation Cardiovascular Innovation and Research Center, University of California, Irvine, CA, USA
| |
Collapse
|
3
|
Goo HW. Pediatric three-dimensional quantitative cardiovascular computed tomography. Pediatr Radiol 2024:10.1007/s00247-024-05931-7. [PMID: 38755443 DOI: 10.1007/s00247-024-05931-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 04/11/2024] [Accepted: 04/12/2024] [Indexed: 05/18/2024]
Abstract
High-resolution, isotropic, 3-dimensional (D) data from pediatric cardiovascular computed tomography (CT) offer great potential for the accurate quantitative evaluation of pediatric cardiovascular and pulmonary vascular diseases. Recent pilot studies using pediatric 3-D cardiovascular CT have shown promising results in assessing cardiac function in conditions such as tetralogy of Fallot, cardiac defects with a hypoplastic ventricle, Ebstein anomaly, and in quantifying myocardial mass. In addition, the quantitative assessment of pulmonary vascularity is useful for evaluating differential right-to-left pulmonary vascular volume ratio, the effectiveness of pulmonary angioplasty, and predicting pulmonary hypertension. These initial experiences could broaden the role of pediatric cardiovascular CT in clinical practice. Furthermore, the current barriers to its widespread use, pertinent solutions to these problems, and new applications are discussed. In this review, the 3-D quantitative evaluations of cardiac function and pulmonary vascularity using high-resolution pediatric cardiovascular CT data are illustrated.
Collapse
Affiliation(s)
- Hyun Woo Goo
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea.
| |
Collapse
|
4
|
Salyapongse AM, Kanne JP, Nagpal P, Laucis NC, Markhardt BK, Yin Z, Slavic S, Lubner MG, Szczykutowicz TP. Spatial Resolution Fidelity Comparison Between Energy Integrating and Deep Silicon Photon Counting CT: Implications for Pulmonary Imaging. J Thorac Imaging 2024:00005382-990000000-00137. [PMID: 38712920 DOI: 10.1097/rti.0000000000000788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
PURPOSE We investigated spatial resolution loss away from isocenter for a prototype deep silicon photon-counting detector (PCD) CT scanner and compare with a clinical energy-integrating detector (EID) CT scanner. MATERIALS AND METHODS We performed three scans on a wire phantom at four positions (isocenter, 6.7, 11.8, and 17.1 cm off isocenter). The acquisition modes were 120 kV EID CT, 120 kV high-definition (HD) EID CT, and 120 kV PCD CT. HD mode used double the projection view angles per rotation as the "regular" EID scan mode. The diameter of the wire was calculated by taking the full width of half max (FWHM) of a profile drawn over the radial and azimuthal directions of the wire. Change in wire diameter appearance was assessed by calculating the ratio of the radial and azimuthal diameter relative to isocenter. t tests were used to make pairwise comparisons of the wire diameter ratio with each acquisition and mean ratios' difference from unity. RESULTS Deep silicon PCD CT had statistically smaller (P<0.05) changes in diameter ratio for both radial and azimuthal directions compared with both regular and HD EID modes and was not statistically different from unity (P<0.05). Maximum increases in FWMH relative to isocenter were 36%, 12%, and 1% for regular EID, HD EID, and deep silicon PCD, respectively. CONCLUSION Deep silicon PCD CT exhibits less change in spatial resolution in both the radial and azimuthal directions compared with EID CT.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | - Timothy P Szczykutowicz
- Departments of Radiology, Medical Physics, and Biomedical Engineering, University of Wisconsin Madison, Madison, WI
| |
Collapse
|
5
|
Pienn M, Gertz RJ, Gerhardt F, Kröger JR, Zaytoun H, Reimer RP, Kaplan A, Wissmüller M, Kovacs G, Rosenkranz S, Olschewski H, Bunck AC. CT-derived lung vessel morphology correlates with prognostic markers in precapillary pulmonary hypertension. J Heart Lung Transplant 2024; 43:54-65. [PMID: 37619642 DOI: 10.1016/j.healun.2023.08.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 07/30/2023] [Accepted: 08/16/2023] [Indexed: 08/26/2023] Open
Abstract
BACKGROUND While computed tomography pulmonary angiography (CTPA) is an integral part of the work-up in patients with suspected pulmonary hypertension (PH), there is no established CTPA-derived prognostic marker. We aimed to assess whether quantitative readouts of lung vessel morphology correlate with established prognostic indicators in PH. METHODS We applied a fully-automatic in-house developed algorithm for segmentation of arteries and veins to determine lung vessel morphology in patients with precapillary PH who underwent right heart catheterization and CTPA between May 2016 and May 2019. Primary endpoint of this retrospective study was the calculation of receiver operating characteristics for identifying low and high mortality risk according to the 3-strata risk assessment model presented in the current guidelines. RESULTS We analyzed 73 patients, median age 65 years (interquartile range (IQR): 54-76), female/male ratio 35/38, median mean pulmonary arterial pressure 37 mm Hg (IQR: 30-46), and found significant correlations with important prognostic factors in pulmonary arterial hypertension. N-terminal pro-brain natriuretic peptide, cardiac index, mixed venous oxygen saturation, and 6-minute walking distance were correlated with the ratio of the number of arteries over veins with vessel diameters of 6-10 mm (Spearman correlation coefficients ρ = 0.64, p < 0.001; ρ = -0.60, p < 0.001; ρ = -0.47, p = 0.005; ρ = -0.45, p = 0.001, respectively). This ratio predicted a low- and high-risk score with an area under the curve of 0.73 (95% confidence interval (CI): 0.56-0.90) and 0.86 (95% CI: 0.74-0.97), respectively. CONCLUSIONS The ratio of the number of arteries over veins with diameters between 6 and 10 mm is significantly correlated with prognostic markers in pulmonary hypertension and predicts low and high mortality risk.
Collapse
Affiliation(s)
- Michael Pienn
- Ludwig Boltzmann Institute for Lung Vascular Research, Graz, Austria
| | - Roman J Gertz
- Department of Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Felix Gerhardt
- Department of Cardiology and Cologne Cardiovascular Research Center (CCRC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jan R Kröger
- Department of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Bochum, Germany
| | - Hasan Zaytoun
- Department of Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Robert P Reimer
- Department of Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Anil Kaplan
- Department of Cardiology and Cologne Cardiovascular Research Center (CCRC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Max Wissmüller
- Department of Cardiology and Cologne Cardiovascular Research Center (CCRC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Gabor Kovacs
- Ludwig Boltzmann Institute for Lung Vascular Research, Graz, Austria; Division of Pulmonology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Stephan Rosenkranz
- Department of Cardiology and Cologne Cardiovascular Research Center (CCRC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Horst Olschewski
- Ludwig Boltzmann Institute for Lung Vascular Research, Graz, Austria; Division of Pulmonology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | - Alexander C Bunck
- Department of Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
| |
Collapse
|
6
|
Li R, Song M, Wang R, Su N, E L. Can CT-Based Arterial and Venous Morphological Markers of Chronic Obstructive Pulmonary Disease Explain Pulmonary Vascular Remodeling? Acad Radiol 2024; 31:22-34. [PMID: 37248100 DOI: 10.1016/j.acra.2023.04.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 04/21/2023] [Accepted: 04/21/2023] [Indexed: 05/31/2023]
Abstract
RATIONALE AND OBJECTIVES We analyzed changes in quantitative pulmonary artery and vein parameters to investigate pulmonary vascular remodeling characteristics in chronic obstructive pulmonary disease (COPD) patients. MATERIALS AND METHODS This retrospective study recruited healthy volunteers and COPD patients. Participants undergoing standard-of-care pulmonary function testing (PFT) and computed tomography (CT) evaluations were classified into five groups: normal and Global Initiative for Chronic Obstructive Lung Disease (GOLD) grades 1-4. Artery and vein analyses (volumes, numbers, densities, and fractions) were performed using artificial intelligence. RESULTS Among 139 subjects (136 men; mean age, 64years±8 [SD]) with GOLD grade 1 (n = 13), grade 2 (n = 49), grade 3 (n = 42), grade 4 (n = 17) and control subjects (n = 18) enrolled, differences in arterial volumes (BV5-10, BV10+, pulmonary arterial volume) and venous densities (BV5 density, BV10+ density, pulmonary venous density, pulmonary venous branch density) among control and GOLD grades 1-4 were statistically significant (P < .05). Higher pulmonary arterial volumes and lower number were observed with more advanced COPD. The number and volumes of pulmonary veins were lower in GOLD grades 2 and 3 than in GOLD grade 1 but higher in GOLD grade 4 than in GOLD grade 3. The numbers and volumes of pulmonary arteries and veins showed varying positive correlations (γ = 0.18-0.96, P < .05). Pulmonary vascular densities were mildly to moderately correlated with PFT results (γ = 0.236-0.495, P < .05) and were moderately negatively correlated with the emphysema percentage (γ = -0.591 to -0.315, P < .05). CONCLUSION Patients with COPD exhibited pulmonary vascular remodeling, which occurred in the arteries at the early grade of COPD and in the veins at the late grade. CT-based quantitative analysis of pulmonary vasculature may become an imaging marker for early diagnosis and assessment of COPD severity.
Collapse
Affiliation(s)
- Rui Li
- Department of Radiology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China (R.L., M.S., R.W., N.S.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (R.L., M.S., R.W., N.S.)
| | - Mengyi Song
- Department of Radiology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China (R.L., M.S., R.W., N.S.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (R.L., M.S., R.W., N.S.)
| | - Ronghua Wang
- Department of Radiology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China (R.L., M.S., R.W., N.S.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (R.L., M.S., R.W., N.S.)
| | - Ningling Su
- Department of Radiology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China (R.L., M.S., R.W., N.S.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (R.L., M.S., R.W., N.S.)
| | - Linning E
- Department of Radiology, People's Hospital of Longhua, No. 38 Jinglong Construction Rd, Shenzhen 518109, China (L.E).
| |
Collapse
|
7
|
Zhou Q, Tan W, Li Q, Li B, Zhou L, Liu X, Yang J, Zhao D. A new segment method for pulmonary artery and vein. Health Inf Sci Syst 2023; 11:47. [PMID: 37810417 PMCID: PMC10558422 DOI: 10.1007/s13755-023-00245-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 09/01/2023] [Indexed: 10/10/2023] Open
Abstract
Accurate differentiation between pulmonary arteries and veins (A/V) holds pivotal importance in the realm of diagnosing and treating pulmonary ailments. This study presents a new approach that leverages grayscale differences between A/V. Distinctions are measured using median and mean grayscale values within the vessel area. Initially, adherent regions are removed based on vessel structure. The trunk regions are segmented using gray level information near the heart region of the lung boundary. Incorrectly segmented vessels are corrected based on connectivity. For distal lung vessels, a similar distance field is established using a graph-cut method. Experimental results show the algorithm's superior segmentation accuracy, achieving 97.26% compared to the CNN-based average accuracy of 91.67%. Error branches are more concentrated, aiding subsequent manual and automatic correction. This demonstrates the algorithm's effective segmentation of pulmonary A/V.
Collapse
Affiliation(s)
- Qinghua Zhou
- Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, 110189 China
- College of Computer Science and Engineering, Northeastern University, Shenyang, 110189 China
| | - Wenjun Tan
- Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, 110189 China
- College of Computer Science and Engineering, Northeastern University, Shenyang, 110189 China
| | - Qingya Li
- Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, 110189 China
- College of Computer Science and Engineering, Northeastern University, Shenyang, 110189 China
| | - Baoting Li
- Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, 110189 China
- College of Computer Science and Engineering, Northeastern University, Shenyang, 110189 China
| | - Luyu Zhou
- Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, 110189 China
- College of Computer Science and Engineering, Northeastern University, Shenyang, 110189 China
| | - Xin Liu
- Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, 110189 China
- College of Computer Science and Engineering, Northeastern University, Shenyang, 110189 China
| | - Jinzhu Yang
- Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, 110189 China
- College of Computer Science and Engineering, Northeastern University, Shenyang, 110189 China
| | - Dazhe Zhao
- Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, 110189 China
- College of Computer Science and Engineering, Northeastern University, Shenyang, 110189 China
| |
Collapse
|
8
|
Colebank MJ, Chesler N. Efficient Uncertainty Quantification in a Multiscale Model of Pulmonary Arterial and Venous Hemodynamics. ARXIV 2023:arXiv:2309.04057v1. [PMID: 37731656 PMCID: PMC10508834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
Computational hemodynamics models are becoming increasingly useful in the management and prognosis of complex, multiscale pathologies, including those attributed to the development of pulmonary vascular disease. However, diseases like pulmonary hypertension are heterogeneous, and affect both the proximal arteries and veins as well as the microcirculation. Simulation tools and the data used for model calibration are also inherently uncertain, requiring a full analysis of the sensitivity and uncertainty attributed to model inputs and outputs. Thus, this study quantifies model sensitivity and output uncertainty in a multiscale, pulse-wave propagation model of pulmonary hemodynamics. Our pulmonary circuit model consists of fifteen proximal arteries and twelve proximal veins, connected by a two-sided, structured tree model of the distal vasculature. We use polynomial chaos expansions to expedite the sensitivity and uncertainty quantification analyses and provide results for both the proximal and distal vasculature. Our analyses provide uncertainty in blood pressure, flow, and wave propagation phenomenon, as well as wall shear stress and cyclic stretch, both of which are important stimuli for endothelial cell mechanotransduction. We conclude that, while nearly all the parameters in our system have some influence on model predictions, the parameters describing the density of the microvascular beds have the largest effects on all simulated quantities in both the proximal and distal circulation.
Collapse
Affiliation(s)
- M. J. Colebank
- Edwards Lifesciences Foundation Cardiovascular Innovation and Research Center, and Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, USA
| | - N.C. Chesler
- Edwards Lifesciences Foundation Cardiovascular Innovation and Research Center, and Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, USA
| |
Collapse
|
9
|
Vainio T, Mäkelä T, Arkko A, Savolainen S, Kangasniemi M. Leveraging open dataset and transfer learning for accurate recognition of chronic pulmonary embolism from CT angiogram maximum intensity projection images. Eur Radiol Exp 2023; 7:33. [PMID: 37340248 DOI: 10.1186/s41747-023-00346-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 04/14/2023] [Indexed: 06/22/2023] Open
Abstract
BACKGROUND Early diagnosis of the potentially fatal but curable chronic pulmonary embolism (CPE) is challenging. We have developed and investigated a novel convolutional neural network (CNN) model to recognise CPE from CT pulmonary angiograms (CTPA) based on the general vascular morphology in two-dimensional (2D) maximum intensity projection images. METHODS A CNN model was trained on a curated subset of a public pulmonary embolism CT dataset (RSPECT) with 755 CTPA studies, including patient-level labels of CPE, acute pulmonary embolism (APE), or no pulmonary embolism. CPE patients with right-to-left-ventricular ratio (RV/LV) < 1 and APE patients with RV/LV ≥ 1 were excluded from the training. Additional CNN model selection and testing were done on local data with 78 patients without the RV/LV-based exclusion. We calculated area under the receiver operating characteristic curves (AUC) and balanced accuracies to evaluate the CNN performance. RESULTS We achieved a very high CPE versus no-CPE classification AUC 0.94 and balanced accuracy 0.89 on the local dataset using an ensemble model and considering CPE to be present in either one or both lungs. CONCLUSIONS We propose a novel CNN model with excellent predictive accuracy to differentiate chronic pulmonary embolism with RV/LV ≥ 1 from acute pulmonary embolism and non-embolic cases from 2D maximum intensity projection reconstructions of CTPA. RELEVANCE STATEMENT A DL CNN model identifies chronic pulmonary embolism from CTA with an excellent predictive accuracy. KEY POINTS • Automatic recognition of CPE from computed tomography pulmonary angiography was developed. • Deep learning was applied on two-dimensional maximum intensity projection images. • A large public dataset was used for training the deep learning model. • The proposed model showed an excellent predictive accuracy.
Collapse
Affiliation(s)
- Tuomas Vainio
- Radiology, HUS Medical Imaging Center, University of Helsinki and Helsinki University Hospital, 00290, Helsinki, Finland.
| | - Teemu Mäkelä
- Radiology, HUS Medical Imaging Center, University of Helsinki and Helsinki University Hospital, 00290, Helsinki, Finland
- Department of Physics, University of Helsinki, Helsinki, Finland
| | - Anssi Arkko
- Radiology, HUS Medical Imaging Center, University of Helsinki and Helsinki University Hospital, 00290, Helsinki, Finland
| | - Sauli Savolainen
- Radiology, HUS Medical Imaging Center, University of Helsinki and Helsinki University Hospital, 00290, Helsinki, Finland
- Department of Physics, University of Helsinki, Helsinki, Finland
| | - Marko Kangasniemi
- Radiology, HUS Medical Imaging Center, University of Helsinki and Helsinki University Hospital, 00290, Helsinki, Finland
| |
Collapse
|
10
|
Hassan SM, Nardelli P, Minhas JK, Ash SY, Estépar RSJ, Antkowiak MC, Badlam JB, Piazza G, Estépar RSJ, Washko GR, Rahaghi FN. CT imaging determinants of persistent hypoxemia in acute intermediate-risk pulmonary embolism. J Thromb Thrombolysis 2023:10.1007/s11239-023-02813-x. [PMID: 37140805 DOI: 10.1007/s11239-023-02813-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/11/2023] [Indexed: 05/05/2023]
Abstract
The factors associated with persistent hypoxemia after pulmonary embolus (PE) are not well understood. Predicting the need for oxygen post discharge at the time of diagnosis using available CT imaging will enable better discharge planning. To examine the relationship between CT derived imaging markers (automated computation of arterial small vessel fraction, pulmonary artery diameter to aortic diameter ratio (PA:A), right to left ventricular diameter ratio (RV:LV) and new oxygen requirement at the time of discharge in patients diagnosed with acute intermediate-risk PE. CT measurements were obtained in a retrospective cohort of patients with acute-intermediate risk PE admitted to Brigham and Women's Hospital between 2009 and 2017. Twenty one patients without a history of lung disease requiring home oxygen and 682 patients without discharge oxygen requirements were identified. There was an increased median PA:A ratio (0.98 vs. 0.92, p = 0.02) and arterial small vessel fraction (0.32 vs. 0.39, p = 0.001) in the oxygen-requiring group], but no difference in the median RV:LV ratio (1.20 vs. 1.20, p = 0.74). Being in the upper quantile for the arterial small vessel fraction was associated with decreased odds of oxygen requirement (OR 0.30 [0.10-0.78], p = 0.02). Loss of arterial small vessel volume as measured by arterial small vessel fraction and an increase in the PA:A ratio at the time of diagnosis were associated with the presence of persistent hypoxemia on discharge in acute intermediate-risk PE.
Collapse
Affiliation(s)
- Syed Moin Hassan
- Division of Pulmonary Disease and Critical Care Medicine, University of Vermont, Burlington, VT, USA.
| | - Pietro Nardelli
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jasleen K Minhas
- Division of Pulmonary, Allergy and Critical Care, University of Pennsylvania, Philadelphia, PA, USA
| | - Samuel Y Ash
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Rubén San José Estépar
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - MaryEllen C Antkowiak
- Division of Pulmonary Disease and Critical Care Medicine, University of Vermont, Burlington, VT, USA
| | - Jessica B Badlam
- Division of Pulmonary Disease and Critical Care Medicine, University of Vermont, Burlington, VT, USA
| | - Gregory Piazza
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Raúl San José Estépar
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - George R Washko
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Farbod N Rahaghi
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| |
Collapse
|
11
|
Zhai Z, Boon GJAM, Staring M, van Dam LF, Kroft LJM, Hernández Girón I, Ninaber MK, Bogaard HJ, Meijboom LJ, Vonk Noordegraaf A, Huisman MV, Klok FA, Stoel BC. Automated quantification of the pulmonary vasculature in pulmonary embolism and chronic thromboembolic pulmonary hypertension. Pulm Circ 2023; 13:e12223. [PMID: 37128354 PMCID: PMC10148047 DOI: 10.1002/pul2.12223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 03/30/2023] [Accepted: 03/31/2023] [Indexed: 05/03/2023] Open
Abstract
The shape and distribution of vascular lesions in pulmonary embolism (PE) and chronic thromboembolic pulmonary hypertension (CTEPH) are different. We investigated whether automated quantification of pulmonary vascular morphology and densitometry in arteries and veins imaged by computed tomographic pulmonary angiography (CTPA) could distinguish PE from CTEPH. We analyzed CTPA images from a cohort of 16 PE patients, 6 CTEPH patients, and 15 controls. Pulmonary vessels were extracted with a graph-cut method, and separated into arteries and veins using deep-learning classification. Vascular morphology was quantified by the slope (α) and intercept (β) of the vessel radii distribution. To quantify lung perfusion defects, the median pulmonary vascular density was calculated. By combining these measurements with densities measured in parenchymal areas, pulmonary trunk, and descending aorta, a static perfusion curve was constructed. All separate quantifications were compared between the three groups. No vascular morphology differences were detected in contrast to vascular density values. The median vascular density (interquartile range) was -567 (113), -452 (95), and -470 (323) HU, for the control, PE, and CTEPH group. The static perfusion curves showed different patterns between groups, with a statistically significant difference in aorta-pulmonary trunk gradient between the PE and CTEPH groups (p = 0.008). In this proof of concept study, not vasculature morphology but densities differentiated between patients of three groups. Further technical improvements are needed to allow for accurate differentiation between PE and CTEPH, which in this study was only possible statistically by measuring the density gradient between aorta and pulmonary trunk.
Collapse
Affiliation(s)
- Zhiwei Zhai
- Division of Image Processing, Department of RadiologyLeiden University Medical CenterLeidenThe Netherlands
| | - Gudula J. A. M. Boon
- Department of Medicine ‐ Thrombosis and HemostasisLeiden University Medical CenterLeidenThe Netherlands
| | - Marius Staring
- Division of Image Processing, Department of RadiologyLeiden University Medical CenterLeidenThe Netherlands
| | - Lisette F. van Dam
- Department of Medicine ‐ Thrombosis and HemostasisLeiden University Medical CenterLeidenThe Netherlands
| | - Lucia J. M. Kroft
- Department of RadiologyLeiden University Medical CenterLeidenThe Netherlands
| | - Irene Hernández Girón
- Division of Image Processing, Department of RadiologyLeiden University Medical CenterLeidenThe Netherlands
| | - Maarten K. Ninaber
- Department of PulmonologyLeiden University Medical CenterLeidenThe Netherlands
| | - Harm Jan Bogaard
- Department of Pulmonary Medicine, Amsterdam Cardiovascular Sciences, Amsterdam UMCVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Lilian J. Meijboom
- Department of Radiology and Nuclear Medicine, Amsterdam UMCVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Anton Vonk Noordegraaf
- Department of Pulmonary Medicine, Amsterdam Cardiovascular Sciences, Amsterdam UMCVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Menno V. Huisman
- Department of Medicine ‐ Thrombosis and HemostasisLeiden University Medical CenterLeidenThe Netherlands
| | - Frederikus A. Klok
- Department of Medicine ‐ Thrombosis and HemostasisLeiden University Medical CenterLeidenThe Netherlands
| | - Berend C. Stoel
- Division of Image Processing, Department of RadiologyLeiden University Medical CenterLeidenThe Netherlands
| |
Collapse
|
12
|
Huang YS, Chen ZW, Lee WJ, Wu CK, Kuo PH, Hsu HH, Tang SY, Tsai CH, Su MY, Ko CL, Hwang JJ, Lin YH, Chang YC. Treatment Response Evaluation by Computed Tomography Pulmonary Vasculature Analysis in Patients With Chronic Thromboembolic Pulmonary Hypertension. Korean J Radiol 2023; 24:349-361. [PMID: 36907594 PMCID: PMC10067691 DOI: 10.3348/kjr.2022.0675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 12/21/2022] [Accepted: 01/28/2023] [Indexed: 03/14/2023] Open
Abstract
OBJECTIVE To quantitatively assess the pulmonary vasculature using non-contrast computed tomography (CT) in patients with chronic thromboembolic pulmonary hypertension (CTEPH) pre- and post-treatment and correlate CT-based parameters with right heart catheterization (RHC) hemodynamic and clinical parameters. MATERIALS AND METHODS A total of 30 patients with CTEPH (mean age, 57.9 years; 53% female) who received multimodal treatment, including riociguat for ≥ 16 weeks with or without balloon pulmonary angioplasty and underwent both non-contrast CT for pulmonary vasculature analysis and RHC pre- and post-treatment were included. The radiographic analysis included subpleural perfusion parameters, including blood volume in small vessels with a cross-sectional area ≤ 5 mm² (BV5) and total blood vessel volume (TBV) in the lungs. The RHC parameters included mean pulmonary artery pressure (mPAP), pulmonary vascular resistance (PVR), and cardiac index (CI). Clinical parameters included the World Health Organization (WHO) functional class and 6-minute walking distance (6MWD). RESULTS The number, area, and density of the subpleural small vessels increased after treatment by 35.7% (P < 0.001), 13.3% (P = 0.028), and 39.3% (P < 0.001), respectively. The blood volume shifted from larger to smaller vessels, as indicated by an 11.3% increase in the BV5/TBV ratio (P = 0.042). The BV5/TBV ratio was negatively correlated with PVR (r = -0.26; P = 0.035) and positively correlated with CI (r = 0.33; P = 0.009). The percent change across treatment in the BV5/TBV ratio correlated with the percent change in mPAP (r = -0.56; P = 0.001), PVR (r = -0.64; P < 0.001), and CI (r = 0.28; P = 0.049). Furthermore, the BV5/TBV ratio was inversely associated with the WHO functional classes I-IV (P = 0.004) and positively associated with 6MWD (P = 0.013). CONCLUSION Non-contrast CT measures could quantitatively assess changes in the pulmonary vasculature in response to treatment and were correlated with hemodynamic and clinical parameters.
Collapse
Affiliation(s)
- Yu-Sen Huang
- Department of Medical Imaging, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Zheng-Wei Chen
- Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan.,Department of Internal Medicine, National Taiwan University Hospital Yun-Lin Branch, Yun-Lin, Taiwan
| | - Wen-Jeng Lee
- Department of Medical Imaging, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Cho-Kai Wu
- Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Ping-Hung Kuo
- Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Hsao-Hsun Hsu
- Department of Surgery, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Shu-Yu Tang
- Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan.,Department of Internal Medicine, National Taiwan University Hospital Yun-Lin Branch, Yun-Lin, Taiwan
| | - Cheng-Hsuan Tsai
- Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Mao-Yuan Su
- Department of Medical Imaging, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Chi-Lun Ko
- Departments of Nuclear Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Juey-Jen Hwang
- Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan.,Department of Internal Medicine, National Taiwan University Hospital Yun-Lin Branch, Yun-Lin, Taiwan
| | - Yen-Hung Lin
- Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yeun-Chung Chang
- Department of Medical Imaging, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan.
| |
Collapse
|
13
|
Shahin Y, Alabed S, Alkhanfar D, Tschirren J, Rothman AMK, Condliffe R, Wild JM, Kiely DG, Swift AJ. Quantitative CT Evaluation of Small Pulmonary Vessels Has Functional and Prognostic Value in Pulmonary Hypertension. Radiology 2022; 305:431-440. [PMID: 35819325 PMCID: PMC9619204 DOI: 10.1148/radiol.210482] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 04/21/2022] [Accepted: 05/05/2022] [Indexed: 11/11/2022]
Abstract
Background The in vivo relationship between peel pulmonary vessels, small pulmonary vessels, and pulmonary hypertension (PH) is not fully understood. Purpose To quantitatively assess peel pulmonary vessel volumes (PPVVs) and small pulmonary vessel volumes (SPVVs) as estimated from CT pulmonary angiography (CTPA) in different subtypes of PH compared with controls, their relationship to pulmonary function and right heart catheter metrics, and their prognostic value. Materials and Methods In this retrospective single-center study performed from January 2008 to February 2018, quantitative CTPA analysis of total SPVV (TSPVV) (0.4- to 2-mm vessel diameter) and PPVV (within 15, 30, and 45 mm from the lung surface) was performed. Results A total of 1823 patients (mean age, 69 years ± 13 [SD]; 1192 women [65%]) were retrospectively analyzed; 1593 patients with PH (mean pulmonary arterial pressure [mPAP], 43 mmHg ± 13 [SD]) were compared with 230 patient controls (mPAP, 19 mm Hg ± 3). The mean vessel volumes in pulmonary peels at 15-, 30-, and 45-mm depths were higher in pulmonary arterial hypertension (PAH) and PH secondary to lung disease compared with chronic thromboembolic PH (45-mm peel, mean difference: 6.4 mL [95% CI: 1, 11] [P < .001] vs 6.8 mL [95% CI: 1, 12] [P = .01]). Mean small vessel volumes at a diameter of less than 2 mm were lower in PAH and PH associated with left heart disease compared with controls (1.6-mm vessels, mean difference: -4.3 mL [95% CI: -8, -0.1] [P = .03] vs -6.8 mL [95% CI: -11, -2] [P < .001]). In patients with PH, the most significant positive correlation was noted with forced vital capacity percentage predicted (r = 0.30-0.40 [all P < .001] for TSPVVs and r = 0.21-0.25 [all P < .001] for PPVVs). Conclusion The volume of pulmonary small vessels is reduced in pulmonary arterial hypertension and pulmonary hypertension (PH) associated with left heart disease, with similar volume of peel vessels compared with controls. For chronic thromboembolic PH, the volume of peel vessels is reduced. In PH, small pulmonary vessel volume is associated with pulmonary function tests. Clinical trial registration no. NCT02565030 Published under a CC BY 4.0 license Online supplemental material is available for this article.
Collapse
Affiliation(s)
- Yousef Shahin
- From the Department of Infection, Immunity and Cardiovascular Disease
(Y.S., S.A., D.A., A.M.K.R., J.M.W., D.G.K., A.J.S.) and INSIGNEO, Institute for
in silico Medicine (D.G.K., A.J.S.), University of Sheffield, Glossop Rd,
Sheffield S10 2JF, England; Department of Clinical Radiology, Sheffield
Teaching Hospitals, Sheffield, England (Y.S., S.A., A.J.S.); VIDA Diagnostics,
Coralville, Iowa (J.T.); and Sheffield Pulmonary Vascular Disease Unit, Royal
Hallamshire Hospital, Sheffield, England (R.C., D.G.K.)
| | - Samer Alabed
- From the Department of Infection, Immunity and Cardiovascular Disease
(Y.S., S.A., D.A., A.M.K.R., J.M.W., D.G.K., A.J.S.) and INSIGNEO, Institute for
in silico Medicine (D.G.K., A.J.S.), University of Sheffield, Glossop Rd,
Sheffield S10 2JF, England; Department of Clinical Radiology, Sheffield
Teaching Hospitals, Sheffield, England (Y.S., S.A., A.J.S.); VIDA Diagnostics,
Coralville, Iowa (J.T.); and Sheffield Pulmonary Vascular Disease Unit, Royal
Hallamshire Hospital, Sheffield, England (R.C., D.G.K.)
| | - Dheyaa Alkhanfar
- From the Department of Infection, Immunity and Cardiovascular Disease
(Y.S., S.A., D.A., A.M.K.R., J.M.W., D.G.K., A.J.S.) and INSIGNEO, Institute for
in silico Medicine (D.G.K., A.J.S.), University of Sheffield, Glossop Rd,
Sheffield S10 2JF, England; Department of Clinical Radiology, Sheffield
Teaching Hospitals, Sheffield, England (Y.S., S.A., A.J.S.); VIDA Diagnostics,
Coralville, Iowa (J.T.); and Sheffield Pulmonary Vascular Disease Unit, Royal
Hallamshire Hospital, Sheffield, England (R.C., D.G.K.)
| | - Juerg Tschirren
- From the Department of Infection, Immunity and Cardiovascular Disease
(Y.S., S.A., D.A., A.M.K.R., J.M.W., D.G.K., A.J.S.) and INSIGNEO, Institute for
in silico Medicine (D.G.K., A.J.S.), University of Sheffield, Glossop Rd,
Sheffield S10 2JF, England; Department of Clinical Radiology, Sheffield
Teaching Hospitals, Sheffield, England (Y.S., S.A., A.J.S.); VIDA Diagnostics,
Coralville, Iowa (J.T.); and Sheffield Pulmonary Vascular Disease Unit, Royal
Hallamshire Hospital, Sheffield, England (R.C., D.G.K.)
| | - Alex M. K. Rothman
- From the Department of Infection, Immunity and Cardiovascular Disease
(Y.S., S.A., D.A., A.M.K.R., J.M.W., D.G.K., A.J.S.) and INSIGNEO, Institute for
in silico Medicine (D.G.K., A.J.S.), University of Sheffield, Glossop Rd,
Sheffield S10 2JF, England; Department of Clinical Radiology, Sheffield
Teaching Hospitals, Sheffield, England (Y.S., S.A., A.J.S.); VIDA Diagnostics,
Coralville, Iowa (J.T.); and Sheffield Pulmonary Vascular Disease Unit, Royal
Hallamshire Hospital, Sheffield, England (R.C., D.G.K.)
| | - Robin Condliffe
- From the Department of Infection, Immunity and Cardiovascular Disease
(Y.S., S.A., D.A., A.M.K.R., J.M.W., D.G.K., A.J.S.) and INSIGNEO, Institute for
in silico Medicine (D.G.K., A.J.S.), University of Sheffield, Glossop Rd,
Sheffield S10 2JF, England; Department of Clinical Radiology, Sheffield
Teaching Hospitals, Sheffield, England (Y.S., S.A., A.J.S.); VIDA Diagnostics,
Coralville, Iowa (J.T.); and Sheffield Pulmonary Vascular Disease Unit, Royal
Hallamshire Hospital, Sheffield, England (R.C., D.G.K.)
| | - James M. Wild
- From the Department of Infection, Immunity and Cardiovascular Disease
(Y.S., S.A., D.A., A.M.K.R., J.M.W., D.G.K., A.J.S.) and INSIGNEO, Institute for
in silico Medicine (D.G.K., A.J.S.), University of Sheffield, Glossop Rd,
Sheffield S10 2JF, England; Department of Clinical Radiology, Sheffield
Teaching Hospitals, Sheffield, England (Y.S., S.A., A.J.S.); VIDA Diagnostics,
Coralville, Iowa (J.T.); and Sheffield Pulmonary Vascular Disease Unit, Royal
Hallamshire Hospital, Sheffield, England (R.C., D.G.K.)
| | - David G. Kiely
- From the Department of Infection, Immunity and Cardiovascular Disease
(Y.S., S.A., D.A., A.M.K.R., J.M.W., D.G.K., A.J.S.) and INSIGNEO, Institute for
in silico Medicine (D.G.K., A.J.S.), University of Sheffield, Glossop Rd,
Sheffield S10 2JF, England; Department of Clinical Radiology, Sheffield
Teaching Hospitals, Sheffield, England (Y.S., S.A., A.J.S.); VIDA Diagnostics,
Coralville, Iowa (J.T.); and Sheffield Pulmonary Vascular Disease Unit, Royal
Hallamshire Hospital, Sheffield, England (R.C., D.G.K.)
| | - Andrew J. Swift
- From the Department of Infection, Immunity and Cardiovascular Disease
(Y.S., S.A., D.A., A.M.K.R., J.M.W., D.G.K., A.J.S.) and INSIGNEO, Institute for
in silico Medicine (D.G.K., A.J.S.), University of Sheffield, Glossop Rd,
Sheffield S10 2JF, England; Department of Clinical Radiology, Sheffield
Teaching Hospitals, Sheffield, England (Y.S., S.A., A.J.S.); VIDA Diagnostics,
Coralville, Iowa (J.T.); and Sheffield Pulmonary Vascular Disease Unit, Royal
Hallamshire Hospital, Sheffield, England (R.C., D.G.K.)
| |
Collapse
|
14
|
Overton PM, Toshner M, Mulligan C, Vora P, Nikkho S, Jan de Backer, Lavon BR, Klok FA. Pulmonary thromboembolic events in COVID‐19 – a systematic literature review. Pulm Circ 2022; 12:e12113. [PMID: 35942076 PMCID: PMC9349961 DOI: 10.1002/pul2.12113] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 06/28/2022] [Accepted: 07/10/2022] [Indexed: 11/15/2022] Open
Abstract
Pulmonary thromboembolic events have been linked to coronavirus disease 2019 (COVID‐19), but their incidence and long‐term sequelae remain unclear. We performed a systematic literature review to investigate the incidence of pulmonary embolism (PE), microthrombi, thrombosis in situ (thromboinflammatory disease), and chronic thromboembolic pulmonary hypertension (CTEPH) during and after COVID‐19. PubMed and the World Health Organization Global Research Database were searched on May 7, 2021. Hospital cohort and database studies reporting data for ≥1000 patients and autopsy studies reporting data for ≥20 patients were included. Results were summarized descriptively. We screened 1438 records and included 41 references (32 hospital/database studies and 9 autopsy studies). The hospital/database studies reported the incidence of PE but not CTEPH, microthrombi, or thromboinflammatory disease. PE incidence varied widely (0%–1.1% of outpatients, 0.9%–8.2% of hospitalized patients, and 1.8%–18.9% of patients in intensive care). One study reported PE events occurring within 45 days after hospital discharge (incidence in discharged patients: 0.2%). Segmental arteries were generally the most common location for PE. In autopsy studies, PE, thromboinflammatory disease, and microthrombi were reported in 6%–23%, 43%–100%, and 45%–84% of deceased patients, respectively. Overall, the included studies mostly focused on PE during the acute phase of COVID‐19. The results demonstrate the challenges of identifying and characterizing vascular abnormalities using current protocols (e.g., visual computed tomography reads). Further research is needed to detect subtle pulmonary vascular abnormalities, distinguish thromboinflammatory disease from PE, optimize treatment, and assess the incidence of long‐term sequelae after COVID‐19.
Collapse
Affiliation(s)
| | - Mark Toshner
- Department of Medicine, School of Clinical Medicine University of Cambridge UK
| | | | | | | | | | | | - Frederikus A. Klok
- Department of Medicine–Thrombosis and Hemostasis Leiden University Medical Center Leiden the Netherlands
| | | |
Collapse
|
15
|
Alenezi F, Covington TA, Mukherjee M, Mathai SC, Yu PB, Rajagopal S. Novel Approaches to Imaging the Pulmonary Vasculature and Right Heart. Circ Res 2022; 130:1445-1465. [PMID: 35482838 PMCID: PMC9060389 DOI: 10.1161/circresaha.121.319990] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
There is an increased appreciation for the importance of the right heart and pulmonary circulation in several disease states across the spectrum of pulmonary hypertension and left heart failure. However, assessment of the structure and function of the right heart and pulmonary circulation can be challenging, due to the complex geometry of the right ventricle, comorbid pulmonary airways and parenchymal disease, and the overlap of hemodynamic abnormalities with left heart failure. Several new and evolving imaging modalities interrogate the right heart and pulmonary circulation with greater diagnostic precision. Echocardiographic approaches such as speckle-tracking and 3-dimensional imaging provide detailed assessments of regional systolic and diastolic function and volumetric assessments. Magnetic resonance approaches can provide high-resolution views of cardiac structure/function, tissue characterization, and perfusion through the pulmonary vasculature. Molecular imaging with positron emission tomography allows an assessment of specific pathobiologically relevant targets in the right heart and pulmonary circulation. Machine learning analysis of high-resolution computed tomographic lung scans permits quantitative morphometry of the lung circulation without intravenous contrast. Inhaled magnetic resonance imaging probes, such as hyperpolarized 129Xe magnetic resonance imaging, report on pulmonary gas exchange and pulmonary capillary hemodynamics. These approaches provide important information on right ventricular structure and function along with perfusion through the pulmonary circulation. At this time, the majority of these developing technologies have yet to be clinically validated, with few studies demonstrating the utility of these imaging biomarkers for diagnosis or monitoring disease. These technologies hold promise for earlier diagnosis and noninvasive monitoring of right heart failure and pulmonary hypertension that will aid in preclinical studies, enhance patient selection and provide surrogate end points in clinical trials, and ultimately improve bedside care.
Collapse
Affiliation(s)
- Fawaz Alenezi
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC
| | | | | | - Steve C. Mathai
- Johns Hopkins Division of Pulmonary and Critical Care Medicine, Baltimore, MD
| | - Paul B. Yu
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
| | - Sudarshan Rajagopal
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC
| |
Collapse
|
16
|
Chan JK, Chadwick EA, Taniguchi D, Ahmadipour M, Suzuki T, Romero D, Amon C, Waddell TK, Karoubi G, Bazylak A. Cell Inertia: Predicting Cell Distributions in Lung Vasculature to Optimize Re-endothelialization. Front Bioeng Biotechnol 2022; 10:891407. [PMID: 35573256 PMCID: PMC9092599 DOI: 10.3389/fbioe.2022.891407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 04/11/2022] [Indexed: 12/05/2022] Open
Abstract
We created a transient computational fluid dynamics model featuring a particle deposition probability function that incorporates inertia to quantify the transport and deposition of cells in mouse lung vasculature for the re-endothelialization of the acellular organ. Our novel inertial algorithm demonstrated a 73% reduction in cell seeding efficiency error compared to two established particle deposition algorithms when validated with experiments based on common clinical practices. We enhanced the uniformity of cell distributions in the lung vasculature by increasing the injection flow rate from 3.81 ml/min to 9.40 ml/min. As a result, the cell seeding efficiency increased in both the numerical and experimental results by 42 and 66%, respectively.
Collapse
Affiliation(s)
- Jason K.D. Chan
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada
| | - Eric A. Chadwick
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada
| | - Daisuke Taniguchi
- Latner Thoracic Surgery Laboratories, Toronto General Hospital Research Institute, University Health Network, Toronto General Hospital, University of Toronto, Toronto, ON, Canada
| | - Mohammadali Ahmadipour
- Latner Thoracic Surgery Laboratories, Toronto General Hospital Research Institute, University Health Network, Toronto General Hospital, University of Toronto, Toronto, ON, Canada
- Institute of Biomedical Engineering (BME), University of Toronto, Toronto, ON, Canada
| | - Takaya Suzuki
- Department of Thoracic Surgery, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - David Romero
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada
| | - Cristina Amon
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada
- Institute of Biomedical Engineering (BME), University of Toronto, Toronto, ON, Canada
| | - Thomas K. Waddell
- Latner Thoracic Surgery Laboratories, Toronto General Hospital Research Institute, University Health Network, Toronto General Hospital, University of Toronto, Toronto, ON, Canada
- Institute of Biomedical Engineering (BME), University of Toronto, Toronto, ON, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - Golnaz Karoubi
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada
- Latner Thoracic Surgery Laboratories, Toronto General Hospital Research Institute, University Health Network, Toronto General Hospital, University of Toronto, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Aimy Bazylak
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada
- *Correspondence: Aimy Bazylak,
| |
Collapse
|
17
|
Goo HW, Park SH. Prediction of pulmonary hypertension using central-to-peripheral pulmonary vascular volume ratio on three-dimensional cardiothoracic CT in patients with congenital heart disease. Jpn J Radiol 2022; 40:961-969. [PMID: 35357627 DOI: 10.1007/s11604-022-01272-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 03/16/2022] [Indexed: 10/18/2022]
Abstract
PURPOSE To evaluate whether the central-to-peripheral pulmonary vascular volume ratio measured using three-dimensional cardiothoracic CT can serve as a potential predictor of pulmonary hypertension (PH) in patients with congenital heart disease. METHODS Cardiothoracic CT was used to quantify right and left total, central, and peripheral pulmonary vascular volumes segmented based on a three-dimensional threshold-based approach in 60 patients with congenital heart disease (group with PH, n = 30; group without PH, n = 30). The CT-based central-to-peripheral pulmonary vascular volume ratios were correlated with the echocardiography-based maximum velocity of tricuspid regurgitation (TR Vmax) and systolic pulmonary arterial pressure (PAP) values. The diagnostic ability of the central-to-peripheral pulmonary vascular volume ratio to predict PH was analyzed. RESULTS The central-to-peripheral pulmonary vascular volume ratios were significantly higher in the group with PH compared to the group without PH (1.6 ± 0.9 vs. 0.8 ± 0.3 for the right side, p < 0.001; 2.4 ± 2.2 vs. 1.0 ± 1.4 for the left side, p < 0.004). The right central-to-peripheral pulmonary volume ratios were significantly positively correlated with the TR Vmax and estimated systolic PAP values (R = 0.627 and 0.633, respectively; p < 0.001) in patients with and without PH, while the ratios were moderately correlated with the TR Vmax and estimated systolic PAP values (R = 0.431 and 0.435, respectively; p < 0.020) in the group with PH. The right and left central-to-peripheral pulmonary vascular volume ratios demonstrated a good diagnostic ability for predicting the presence of PH (area under the receiver-operating characteristic curve = 0.867, p < 0.001 and 0.859, p < 0.001 for the right and left, respectively). CONCLUSION The CT-based central-to-peripheral pulmonary vascular volume ratio can be used to predict PH in patients with congenital heart disease.
Collapse
Affiliation(s)
- Hyun Woo Goo
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
| | - Sang Hyub Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| |
Collapse
|
18
|
Association of abnormal pulmonary vasculature on CT scan for COVID-19 infection with decreased diffusion capacity in follow up: A retrospective cohort study. PLoS One 2021; 16:e0257892. [PMID: 34653196 PMCID: PMC8519442 DOI: 10.1371/journal.pone.0257892] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 09/14/2021] [Indexed: 01/30/2023] Open
Abstract
Background Coronavirus Disease 2019 (COVID-19) is a respiratory viral illness causing pneumonia and systemic disease. Abnormalities in pulmonary function tests (PFT) after COVID-19 infection have been described. The determinants of these abnormalities are unclear. We hypothesized that inflammatory biomarkers and CT scan parameters at the time of infection would be associated with abnormal gas transfer at short term follow-up. Methods We retrospectively studied subjects who were hospitalized for COVID-19 pneumonia and discharged. Serum inflammatory biomarkers, CT scan and clinical characteristics were assessed. CT images were evaluated by Functional Respiratory Imaging with automated tissue segmentation algorithms of the lungs and pulmonary vasculature. Volumes of the pulmonary vessels that were ≤5mm (BV5), 5-10mm (BV5_10), and ≥10mm (BV10) in cross sectional area were analyzed. Also the amount of opacification on CT (ground glass opacities). PFT were performed 2–3 months after discharge. The diffusion capacity of carbon monoxide (DLCO) was obtained. We divided subjects into those with a DLCO <80% predicted (Low DLCO) and those with a DLCO ≥80% predicted (Normal DLCO). Results 38 subjects were included in our cohort. 31 out of 38 (81.6%) subjects had a DLCO<80% predicted. The groups were similar in terms of demographics, body mass index, comorbidities, and smoking status. Hemoglobin, inflammatory biomarkers, spirometry and lung volumes were similar between groups. CT opacification and BV5 were not different between groups, but both Low and Normal DLCO groups had lower BV5 measures compared to healthy controls. BV5_10 and BV10 measures were higher in the Low DLCO group compared to the normal DLCO group. Both BV5_10 and BV10 in the Low DLCO group were greater compared to healthy controls. BV5_10 was independently associated with DLCO<80% in multivariable logistic regression (OR 1.29, 95% CI 1.01, 1.64). BV10 negatively correlated with DLCO% predicted (r = -0.343, p = 0.035). Conclusions Abnormalities in pulmonary vascular volumes at the time of hospitalization are independently associated with a low DLCO at follow-up. There was no relationship between inflammatory biomarkers during hospitalization and DLCO. Pulmonary vascular abnormalities during hospitalization for COVID-19 may serve as a biomarker for abnormal gas transfer after COVID-19 pneumonia.
Collapse
|
19
|
Minhas J, Nardelli P, Hassan SM, Al-Naamani N, Harder E, Ash S, Sánchez-Ferrero GV, Mason S, Hunsaker AR, Piazza G, Goldhaber SZ, Waxman AB, Kawut SM, Estépar RSJ, Washko GR, Rahaghi FN. Loss of Pulmonary Vascular Volume as a Predictor of Right Ventricular Dysfunction and Mortality in Acute Pulmonary Embolism. Circ Cardiovasc Imaging 2021; 14:e012347. [PMID: 34544259 PMCID: PMC8462092 DOI: 10.1161/circimaging.120.012347] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Accepted: 06/30/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND In acute pulmonary embolism, chest computed tomography angiography derived metrics, such as the right ventricle (RV): left ventricle ratio are routinely used for risk stratification. Paucity of intraparenchymal blood vessels has previously been described, but their association with clinical biomarkers and outcomes has not been studied. We sought to determine if small vascular volumes measured on computed tomography scans were associated with an abnormal RV on echocardiography and mortality. We hypothesized that decreased small venous volume would be associated with greater RV dysfunction and increased mortality. METHODS A retrospective cohort of patients with intermediate risk pulmonary embolism admitted to Brigham and Women's Hospital between 2009 and 2017 was assembled, and clinical and radiographic data were obtained. We performed 3-dimensional reconstructions of vasculature to assess intraparenchymal vascular volumes. Statistical analyses were performed using multivariable regression and cox proportional hazards models, adjusting for age, sex, lung volume, and small arterial volume. RESULTS Seven hundred twenty-two subjects were identified of whom 573 had documented echocardiography. A 50% reduction in small venous volume was associated with an increased risk of RV dilation (relative risk: 1.38 [95% CI, 1.18-1.63], P<0.001), RV dysfunction (relative risk: 1.62 [95% CI, 1.36-1.95], P<0.001), and RV strain (relative risk: 1.67 [95% CI, 1.37-2.04], P<0.001); increased cardiac biomarkers, and higher 30-day and 90-day mortality (hazard ratio: 2.50 [95% CI, 1.33-4.67], P=0.004 and hazard ratio: 1.84 [95% CI, 1.11-3.04], P=0.019, respectively). CONCLUSIONS Loss of small venous volume quantified from computed tomography angiography is associated with increased risk of abnormal RV on echocardiography, abnormal cardiac biomarkers, and higher risk of 30- and 90-day mortality. Small venous volume may be a useful marker for assessing disease severity in acute pulmonary embolism.
Collapse
Affiliation(s)
- Jasleen Minhas
- Division of Pulmonary, Allergy and Critical Care (J.M., N.A.-N., S.M.K.), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Pietro Nardelli
- Department of Radiology (P.N., G.V.S.-F., A.R.H., R.S.J.E.), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Syed Moin Hassan
- University of Pennsylvania, Philadelphia. Division of Pulmonary and Critical Care Medicine (S.M.H., E.H., S.A., S.M., A.B.W., G.R.W., F.N.R.), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Nadine Al-Naamani
- Division of Pulmonary, Allergy and Critical Care (J.M., N.A.-N., S.M.K.), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Eileen Harder
- University of Pennsylvania, Philadelphia. Division of Pulmonary and Critical Care Medicine (S.M.H., E.H., S.A., S.M., A.B.W., G.R.W., F.N.R.), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Samuel Ash
- University of Pennsylvania, Philadelphia. Division of Pulmonary and Critical Care Medicine (S.M.H., E.H., S.A., S.M., A.B.W., G.R.W., F.N.R.), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Gonzalo Vegas Sánchez-Ferrero
- Department of Radiology (P.N., G.V.S.-F., A.R.H., R.S.J.E.), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Stefanie Mason
- University of Pennsylvania, Philadelphia. Division of Pulmonary and Critical Care Medicine (S.M.H., E.H., S.A., S.M., A.B.W., G.R.W., F.N.R.), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Andetta R Hunsaker
- Department of Radiology (P.N., G.V.S.-F., A.R.H., R.S.J.E.), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Gregory Piazza
- Division of Cardiovascular Medicine (G.P., S.Z.G.), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Samuel Z Goldhaber
- Division of Cardiovascular Medicine (G.P., S.Z.G.), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Aaron B Waxman
- University of Pennsylvania, Philadelphia. Division of Pulmonary and Critical Care Medicine (S.M.H., E.H., S.A., S.M., A.B.W., G.R.W., F.N.R.), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Steven M Kawut
- Division of Pulmonary, Allergy and Critical Care (J.M., N.A.-N., S.M.K.), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Raúl San José Estépar
- Department of Radiology (P.N., G.V.S.-F., A.R.H., R.S.J.E.), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - George R Washko
- University of Pennsylvania, Philadelphia. Division of Pulmonary and Critical Care Medicine (S.M.H., E.H., S.A., S.M., A.B.W., G.R.W., F.N.R.), Brigham and Women's Hospital, Harvard Medical School, Boston
| | - Farbod N Rahaghi
- University of Pennsylvania, Philadelphia. Division of Pulmonary and Critical Care Medicine (S.M.H., E.H., S.A., S.M., A.B.W., G.R.W., F.N.R.), Brigham and Women's Hospital, Harvard Medical School, Boston
| |
Collapse
|
20
|
Leopold JA. Nanoparticle-Facilitated Gene Delivery in Congenital Pulmonary Vascular Disease: Roadmap for Other Forms of Pulmonary Hypertension. Circulation 2021; 144:556-558. [PMID: 34398687 DOI: 10.1161/circulationaha.121.055345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Jane A Leopold
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| |
Collapse
|
21
|
Rahaghi FN, Nardelli P, Harder E, Singh I, Sanchez-Ferrero GV, Ross JC, San José Estépar R, Ash SY, Hunsaker AR, Maron BA, Leopold JA, Waxman AB, San José Estépar R, Washko GR. Quantification of Arterial and Venous Morphological Markers in Pulmonary Arterial Hypertension Using Computed Tomography. Chest 2021; 160:2220-2231. [PMID: 34270966 PMCID: PMC8692106 DOI: 10.1016/j.chest.2021.06.069] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 05/25/2021] [Accepted: 06/25/2021] [Indexed: 11/24/2022] Open
Abstract
Background Pulmonary hypertension is a heterogeneous disease, and a significant portion of patients at risk for it have CT imaging available. Advanced automated processing techniques could be leveraged for early detection, screening, and development of quantitative phenotypes. Pruning and vascular tortuosity have been previously described in pulmonary arterial hypertension (PAH), but the extent of these phenomena in arterial vs venous pulmonary vasculature and in exercise pulmonary hypertension (ePH) have not been described. Research Question What are the arterial and venous manifestations of pruning and vascular tortuosity using CT imaging in PAH, and do they also occur in ePH? Study Design and Methods A cohort of patients with PAH and ePH and control subjects with available CT angiograms were retrospectively identified to examine the differential arterial and venous presence of pruning and tortuosity in patients with precapillary pulmonary hypertension not confounded by lung or thromboembolic disease. The pulmonary vasculature was reconstructed, and an artificial intelligence method was used to separate arteries and veins and to compute arterial and venous vascular volumes and tortuosity. Results A total of 42 patients with PAH, 12 patients with ePH, and 37 control subjects were identified. There was relatively lower (median [interquartile range]) arterial small vessel volume in subjects with PAH (PAH 14.7 [11.7-16.5; P < .0001]) vs control subjects (16.9 [15.6-19.2]) and venous small vessel volume in subjects with PAH and ePH (PAH 8.0 [6.5-9.6; P < .0001]; ePH, 7.8 [7.5-11.4; P = .004]) vs control subjects (11.5 [10.6-12.2]). Higher large arterial volume, however, was only observed in the pulmonary arteries (PAH 17.1 [13.6-23.4; P < .0001] vs control subjects 11.4 [8.1-15.4]). Similarly, tortuosity was higher in the pulmonary arteries in the PAH group (PAH 3.5 [3.3-3.6; P = .0002] vs control 3.2 [3.2-3.3]). Interpretation Lower small distal pulmonary vascular volume, higher proximal arterial volume, and higher arterial tortuosity were observed in PAH. These can be quantified by using automated techniques from clinically acquired CT scans of patients with ePH and resting PAH.
Collapse
Affiliation(s)
- Farbod N Rahaghi
- Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA/US.
| | - Pietro Nardelli
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA/US
| | - Eileen Harder
- Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA/US
| | - Inderjit Singh
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA/US
| | | | - James C Ross
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA/US
| | - Rubén San José Estépar
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA/US
| | - Samuel Y Ash
- Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA/US
| | - Andetta R Hunsaker
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA/US
| | - Bradley A Maron
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA/US
| | - Jane A Leopold
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA/US
| | - Aaron B Waxman
- Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA/US
| | - Raúl San José Estépar
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA/US
| | - George R Washko
- Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA/US
| |
Collapse
|
22
|
Sweatt AJ, Reddy R, Rahaghi FN, Al-Naamani N. What's new in pulmonary hypertension clinical research: lessons from the best abstracts at the 2020 American Thoracic Society International Conference. Pulm Circ 2021; 11:20458940211040713. [PMID: 34471517 PMCID: PMC8404658 DOI: 10.1177/20458940211040713] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Accepted: 07/26/2021] [Indexed: 12/23/2022] Open
Abstract
In this conference paper, we review the 2020 American Thoracic Society International Conference session titled, "What's New in Pulmonary Hypertension Clinical Research: Lessons from the Best Abstracts". This virtual mini-symposium took place on 21 October 2020, in lieu of the annual in-person ATS International Conference which was cancelled due to the COVID-19 pandemic. Seven clinical research abstracts were selected for presentation in the session, which encompassed five major themes: (1) standardizing diagnosis and management of pulmonary hypertension, (2) improving risk assessment in pulmonary arterial hypertension, (3) evaluating biomarkers of disease activity, (4) understanding metabolic dysregulation across the spectrum of pulmonary hypertension, and (5) advancing knowledge in chronic thromboembolic pulmonary hypertension. Focusing on these five thematic contexts, we review the current state of knowledge, summarize presented research abstracts, appraise their significance and limitations, and then discuss relevant future directions in pulmonary hypertension clinical research.
Collapse
Affiliation(s)
- Andrew J. Sweatt
- Division of Pulmonary, Allergy and Critical Care Medicine, Stanford University, Stanford, CA, USA
- Vera Moulton Wall Center for Pulmonary Vascular Disease, Stanford, CA, USA
| | - Raju Reddy
- Division of Pulmonary and Critical Care Medicine, Oregon Health and Science University, Portland, OR, USA
| | - Farbod N. Rahaghi
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Nadine Al-Naamani
- Division of Pulmonary and Critical Care Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - on behalf of the American Thoracic Society Pulmonary Circulation Assembly Early Career Working Group
- Division of Pulmonary, Allergy and Critical Care Medicine, Stanford University, Stanford, CA, USA
- Vera Moulton Wall Center for Pulmonary Vascular Disease, Stanford, CA, USA
- Division of Pulmonary and Critical Care Medicine, Oregon Health and Science University, Portland, OR, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| |
Collapse
|
23
|
Colebank MJ, Qureshi MU, Rajagopal S, Krasuski RA, Olufsen MS. A multiscale model of vascular function in chronic thromboembolic pulmonary hypertension. Am J Physiol Heart Circ Physiol 2021; 321:H318-H338. [PMID: 34142886 DOI: 10.1152/ajpheart.00086.2021] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Chronic thromboembolic pulmonary hypertension (CTEPH) is caused by recurrent or unresolved pulmonary thromboemboli, leading to perfusion defects and increased arterial wave reflections. CTEPH treatment aims to reduce pulmonary arterial pressure and reestablish adequate lung perfusion, yet patients with distal lesions are inoperable by standard surgical intervention. Instead, these patients undergo balloon pulmonary angioplasty (BPA), a multisession, minimally invasive surgery that disrupts the thromboembolic material within the vessel lumen using a catheter balloon. However, there still lacks an integrative, holistic tool for identifying optimal target lesions for treatment. To address this insufficiency, we simulate CTEPH hemodynamics and BPA therapy using a multiscale fluid dynamics model. The large pulmonary arterial geometry is derived from a computed tomography (CT) image, whereas a fractal tree represents the small vessels. We model ring- and web-like lesions, common in CTEPH, and simulate normotensive conditions and four CTEPH disease scenarios; the latter includes both large artery lesions and vascular remodeling. BPA therapy is simulated by simultaneously reducing lesion severity in three locations. Our predictions mimic severe CTEPH, manifested by an increase in mean proximal pulmonary arterial pressure above 20 mmHg and prominent wave reflections. Both flow and pressure decrease in vessels distal to the lesions and increase in unobstructed vascular regions. We use the main pulmonary artery (MPA) pressure, a wave reflection index, and a measure of flow heterogeneity to select optimal target lesions for BPA. In summary, this study provides a multiscale, image-to-hemodynamics pipeline for BPA therapy planning for patients with inoperable CTEPH. NEW & NOTEWORTHY This article presents novel computational framework for predicting pulmonary hemodynamics in chronic thromboembolic pulmonary hypertension. The mathematical model is used to identify the optimal target lesions for balloon pulmonary angioplasty, combining simulated pulmonary artery pressure, wave intensity analysis, and a new quantitative metric of flow heterogeneity.
Collapse
Affiliation(s)
- Mitchel J Colebank
- Department of Mathematics, North Carolina State University, Raleigh, North Carolina
| | - M Umar Qureshi
- Department of Mathematics, North Carolina State University, Raleigh, North Carolina
| | - Sudarshan Rajagopal
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Richard A Krasuski
- Department of Cardiovascular Medicine, Duke University Health System, Durham, North Carolina
| | - Mette S Olufsen
- Department of Mathematics, North Carolina State University, Raleigh, North Carolina
| |
Collapse
|
24
|
Qin Y, Zheng H, Gu Y, Huang X, Yang J, Wang L, Yao F, Zhu YM, Yang GZ. Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT. IEEE TRANSACTIONS ON MEDICAL IMAGING 2021; 40:1603-1617. [PMID: 33635786 DOI: 10.1109/tmi.2021.3062280] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Training convolutional neural networks (CNNs) for segmentation of pulmonary airway, artery, and vein is challenging due to sparse supervisory signals caused by the severe class imbalance between tubular targets and background. We present a CNNs-based method for accurate airway and artery-vein segmentation in non-contrast computed tomography. It enjoys superior sensitivity to tenuous peripheral bronchioles, arterioles, and venules. The method first uses a feature recalibration module to make the best use of features learned from the neural networks. Spatial information of features is properly integrated to retain relative priority of activated regions, which benefits the subsequent channel-wise recalibration. Then, attention distillation module is introduced to reinforce representation learning of tubular objects. Fine-grained details in high-resolution attention maps are passing down from one layer to its previous layer recursively to enrich context. Anatomy prior of lung context map and distance transform map is designed and incorporated for better artery-vein differentiation capacity. Extensive experiments demonstrated considerable performance gains brought by these components. Compared with state-of-the-art methods, our method extracted much more branches while maintaining competitive overall segmentation performance. Codes and models are available at http://www.pami.sjtu.edu.cn/News/56.
Collapse
|
25
|
Rahaghi FN, Hilton JF, Corrêa RA, Loureiro C, Ota-Arakaki JS, Verrastro CGY, Lee MH, Mickael C, Nardelli P, Systrom DA, Waxman AB, Washko GR, San José Estépar R, Graham BB, Oliveira RKF. Arterial vascular volume changes with haemodynamics in schistosomiasis-associated pulmonary arterial hypertension. Eur Respir J 2021; 57:2003914. [PMID: 33446601 PMCID: PMC8106660 DOI: 10.1183/13993003.03914-2020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 12/19/2020] [Indexed: 11/05/2022]
Affiliation(s)
- Farbod N Rahaghi
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Joan F Hilton
- Dept of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Ricardo A Corrêa
- Internal Medicine/Pulmonary Division, Medical School, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | | | - Jaquelina S Ota-Arakaki
- Division of Respiratory Diseases, Dept of Medicine, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
| | | | - Michael H Lee
- Pulmonary Sciences and Critical Care Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Claudia Mickael
- Pulmonary Sciences and Critical Care Medicine, University of Colorado Anschutz medical campus, Aurora, CO, USA
| | - Pietro Nardelli
- Applied Chest Imaging Laboratory, Dept of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - David A Systrom
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Aaron B Waxman
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - George R Washko
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Raúl San José Estépar
- Applied Chest Imaging Laboratory, Dept of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Brian B Graham
- Pulmonary Sciences and Critical Care Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Rudolf K F Oliveira
- Division of Respiratory Diseases, Dept of Medicine, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
| |
Collapse
|
26
|
Kligerman S, Hsiao A. Optimizing the diagnosis and assessment of chronic thromboembolic pulmonary hypertension with advancing imaging modalities. Pulm Circ 2021; 11:20458940211007375. [PMID: 34104420 PMCID: PMC8150458 DOI: 10.1177/20458940211007375] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 12/10/2020] [Indexed: 02/05/2023] Open
Abstract
Imaging is key to nearly all aspects of chronic thromboembolic pulmonary hypertension including management for screening, assessing eligibility for pulmonary endarterectomy, and post-operative follow-up. While ventilation/perfusion scintigraphy, the gold standard technique for chronic thromboembolic pulmonary hypertension screening, can have excellent sensitivity, it can be confounded by other etiologies of pulmonary malperfusion, and does not provide structural information to guide operability assessment. Conventional computed tomography pulmonary angiography has high specificity, though findings of chronic thromboembolic pulmonary hypertension can be visually subtle and unrecognized. In addition, computed tomography pulmonary angiography can provide morphologic information to aid in pre-operative workup and assessment of other structural abnormalities. Advances in computed tomography imaging techniques, including dual-energy computed tomography and spectral-detector computed tomography, allow for improved sensitivity and specificity in detecting chronic thromboembolic pulmonary hypertension, comparable to that of ventilation/perfusion scans. Furthermore, these advanced computed tomography techniques, compared with conventional computed tomography, provide additional physiologic data from perfused blood volume maps and improved resolution to better visualize distal chronic thromboembolic pulmonary hypertension, an important consideration for balloon pulmonary angioplasty for inoperable patients. Electrocardiogram-synchronized techniques in electrocardiogram-gated computed tomography can also show further information regarding right ventricular function and structure. While the standard of care in the workup of chronic thromboembolic pulmonary hypertension includes a ventilation/perfusion scan, computed tomography pulmonary angiography, direct catheter angiography, echocardiogram, and coronary angiogram, in the future an electrocardiogram-gated dual-energy computed tomography angiography scan may enable a "one-stop" imaging study to guide diagnosis, operability assessment, and treatment decisions with less radiation exposure and cost than traditional chronic thromboembolic pulmonary hypertension imaging modalities.
Collapse
Affiliation(s)
- Seth Kligerman
- Cardiothoracic Imaging, University of California San Diego, La Jolla, CA, USA
| | - Albert Hsiao
- Cardiothoracic Imaging, University of California San Diego, La Jolla, CA, USA
| |
Collapse
|
27
|
Harder EM, Vanderpool R, Rahaghi FN. Advanced Imaging in Pulmonary Vascular Disease. Clin Chest Med 2021; 42:101-112. [PMID: 33541604 DOI: 10.1016/j.ccm.2020.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Although the diagnosis of pulmonary hypertension requires invasive testing, imaging serves an important role in the screening, classification, and monitoring of patients with pulmonary vascular disease (PVD). The development of advanced imaging techniques has led to improvements in the understanding of disease pathophysiology, noninvasive assessment of hemodynamics, and stratification of patient risk. This article discusses the current role of advanced imaging and the emerging novel techniques for visualizing the lung parenchyma, mediastinum, and heart in PVD.
Collapse
Affiliation(s)
- Eileen M Harder
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, 15 Francis Street, Boston, MA 02115, USA.
| | - Rebecca Vanderpool
- Division of Translational and Regenerative Medicine, Department of Medicine, University of Arizona, 1656 East Mabel Street, Tucson, AZ 85721, USA. https://twitter.com/rrvdpool
| | - Farbod N Rahaghi
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, 15 Francis Street, Boston, MA 02115, USA
| |
Collapse
|
28
|
Gopalan D, Gibbs JSR. From Early Morphometrics to Machine Learning-What Future for Cardiovascular Imaging of the Pulmonary Circulation? Diagnostics (Basel) 2020; 10:diagnostics10121004. [PMID: 33255668 PMCID: PMC7760106 DOI: 10.3390/diagnostics10121004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 11/19/2020] [Accepted: 11/24/2020] [Indexed: 02/07/2023] Open
Abstract
Imaging plays a cardinal role in the diagnosis and management of diseases of the pulmonary circulation. Behind the picture itself, every digital image contains a wealth of quantitative data, which are hardly analysed in current routine clinical practice and this is now being transformed by radiomics. Mathematical analyses of these data using novel techniques, such as vascular morphometry (including vascular tortuosity and vascular volumes), blood flow imaging (including quantitative lung perfusion and computational flow dynamics), and artificial intelligence, are opening a window on the complex pathophysiology and structure-function relationships of pulmonary vascular diseases. They have the potential to make dramatic alterations to how clinicians investigate the pulmonary circulation, with the consequences of more rapid diagnosis and a reduction in the need for invasive procedures in the future. Applied to multimodality imaging, they can provide new information to improve disease characterization and increase diagnostic accuracy. These new technologies may be used as sophisticated biomarkers for risk prediction modelling of prognosis and for optimising the long-term management of pulmonary circulatory diseases. These innovative techniques will require evaluation in clinical trials and may in themselves serve as successful surrogate end points in trials in the years to come.
Collapse
Affiliation(s)
- Deepa Gopalan
- Imperial College Healthcare NHS Trust, London W12 0HS, UK
- Imperial College London, London SW7 2AZ, UK;
- Cambridge University Hospital, Cambridge CB2 0QQ, UK
- Correspondence: ; Tel.: +44-77-3000-7780
| | - J. Simon R. Gibbs
- Imperial College London, London SW7 2AZ, UK;
- National Heart & Lung Institute, Imperial College London, London SW3 6LY, UK
| |
Collapse
|
29
|
Dong M, Yang W, Tamaresis JS, Chan FP, Zucker EJ, Kumar S, Rabinovitch M, Marsden AL, Feinstein JA. Image-based scaling laws for somatic growth and pulmonary artery morphometry from infancy to adulthood. Am J Physiol Heart Circ Physiol 2020; 319:H432-H442. [PMID: 32618514 DOI: 10.1152/ajpheart.00123.2020] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Pulmonary artery (PA) morphometry has been extensively explored in adults, with particular focus on intra-acinar arteries. However, scaling law relationships for length and diameter of extensive preacinar PAs by age have not been previously reported for in vivo human data. To understand preacinar PA growth spanning children to adults, we performed morphometric analyses of all PAs visible in the computed tomography (CT) and magnetic resonance (MR) images from a healthy subject cohort [n = 16; age: 1-51 yr; body surface area (BSA): 0.49-2.01 m2]. Subject-specific anatomic PA models were constructed from CT and MR images, and morphometric information-diameter, length, tortuosity, bifurcation angle, and connectivity-was extracted and sorted into diameter-defined Strahler orders. Validation of Murray's law, describing optimal scaling exponents of radii for branching vessels, was performed to determine how closely PAs conform to this classical relationship. Using regression analyses of vessel diameters and lengths against orders and patient metrics (BSA, age, height), we found that diameters increased exponentially with order and allometrically with patient metrics. Length increased allometrically with patient metrics, albeit weakly. The average tortuosity index of all vessels was 0.026 ± 0.024, average bifurcation angle was 28.2 ± 15.1°, and average Murray's law exponent was 2.92 ± 1.07. We report a set of scaling laws for vessel diameter and length, along with other morphometric information. These provide an initial understanding of healthy structural preacinar PA development with age, which can be used for computational modeling studies and comparison with diseased PA anatomy.NEW & NOTEWORTHY Pulmonary artery (PA) morphometry studies to date have focused primarily on large arteries and intra-acinar arteries in either adults or children, neglecting preacinar arteries in both populations. Our study is the first to quantify in vivo preacinar PA morphometry changes spanning infants to adults. For preacinar arteries > 1 mm in diameter, we identify scaling laws for vessel diameters and lengths with patient metrics of growth and establish a healthy PA morphometry baseline for most preacinar PAs.
Collapse
Affiliation(s)
- Melody Dong
- Department of Bioengineering, Stanford University, Stanford, California
| | - Weiguang Yang
- Department of Pediatrics-Cardiology, Stanford University, Stanford, California
| | - John S Tamaresis
- Department of Biomedical Data Science, Stanford University, Stanford, California
| | - Frandics P Chan
- Department of Radiology, Stanford University, Stanford, California
| | - Evan J Zucker
- Department of Radiology, Stanford University, Stanford, California
| | - Sahana Kumar
- Department of Pediatrics-Cardiology, Stanford University, Stanford, California
| | - Marlene Rabinovitch
- Department of Pediatrics-Cardiology, Stanford University, Stanford, California
| | - Alison L Marsden
- Department of Bioengineering, Stanford University, Stanford, California.,Department of Pediatrics-Cardiology, Stanford University, Stanford, California
| | - Jeffrey A Feinstein
- Department of Bioengineering, Stanford University, Stanford, California.,Department of Pediatrics-Cardiology, Stanford University, Stanford, California
| |
Collapse
|
30
|
Pulmonary Vascular Morphology Associated With Gas Exchange in Systemic Sclerosis Without Lung Fibrosis. J Thorac Imaging 2020; 34:373-379. [PMID: 30817504 DOI: 10.1097/rti.0000000000000395] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
PURPOSE Gas exchange in systemic sclerosis (SSc) is known to be affected by fibrotic changes in the pulmonary parenchyma. However, SSc patients without detectable fibrosis can still have impaired gas transfer. We aim to investigate whether pulmonary vascular changes could partly explain a reduction in gas transfer of SSc patients without fibrosis. MATERIALS AND METHODS We selected 77 patients whose visual computed tomography (CT) scoring showed no fibrosis. Pulmonary vessels were detected automatically in CT images, and their local radii were calculated. The frequency of occurrence for each radius was calculated, and, from this radius histogram, 2 imaging biomarkers (α and β) were extracted, wherein α reflects the relative contribution of small vessels compared with large vessels, and β represents the vessel tree capacity. Correlations between imaging biomarkers and gas transfer [single-breath diffusion capacity for carbon monoxide corrected for hemoglobin concentration (DLCOc) %predicted] were evaluated with Spearman correlation. Multivariable stepwise linear regression was performed with DLCOc %predicted as the dependent variable and age, BMI, sPAP, FEV1 %predicted, TLC %predicted, FVC %predicted, α, β, voxel size, and CT-derived lung volume as independent variables. RESULTS Both α and β were significantly correlated with gas transfer (R=-0.29, P-value=0.011 and R=0.32, P-value=0.004, respectively). The multivariable stepwise linear regression analysis selected sPAP [coefficient=-0.78; 95% confidence interval (CI)=-1.07, -0.49; P-value<0.001], β (coefficient=8.6; 95% CI=4.07, 13.1; P-value<0.001), and FEV1% predicted (coefficient=0.3; 95% CI=0.12, 0.48; P-value=0.001) as significant independent predictors of DLCOc %predicted (R=0.71, P-value<0.001). CONCLUSIONS In SSc patients without detectable pulmonary fibrosis, impaired gas exchange is associated with alterations in pulmonary vascular morphology.
Collapse
|
31
|
Rahaghi FN, Winkler T, Kohli P, Nardelli P, Fuster B, Ross JC, Radhakrishnan R, Blackwater T, Ash SY, de la Bruere I, Diaz AA, Channick R, Harris R, Washko G, San José Estépar R. Quantification of the Pulmonary Vascular Response to Inhaled Nitric Oxide Using Noncontrast Computed Tomography Imaging. Circ Cardiovasc Imaging 2019; 12:e008338. [PMID: 30632391 PMCID: PMC6446915 DOI: 10.1161/circimaging.118.008338] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
| | - Tilo Winkler
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard University, Boston, MA
| | - Puja Kohli
- Department of Medicine (Pulmonary and Critical Care Unit), Boston, MA
| | - Pietro Nardelli
- Applied Chest Imaging Laboratory, Department of Radiology, Boston, MA
| | - Berta Fuster
- Applied Chest Imaging Laboratory, Department of Radiology, Boston, MA
| | - James C. Ross
- Applied Chest Imaging Laboratory, Department of Radiology, Boston, MA
| | | | - Tyler Blackwater
- Pulmonary and Critical Care, Brigham and Women’s Hospital, Boston, MA
| | - Samuel Y. Ash
- Pulmonary and Critical Care, Brigham and Women’s Hospital, Boston, MA
| | | | - Alejandro A. Diaz
- Pulmonary and Critical Care, Brigham and Women’s Hospital, Boston, MA
| | - R. Channick
- Department of Medicine (Pulmonary and Critical Care Unit), Boston, MA
| | - R.Scott Harris
- Department of Medicine (Pulmonary and Critical Care Unit), Boston, MA
| | - George.R. Washko
- Pulmonary and Critical Care, Brigham and Women’s Hospital, Boston, MA
| | | |
Collapse
|
32
|
Zhai Z, Staring M, Hernández Girón I, Veldkamp WJH, Kroft LJ, Ninaber MK, Stoel BC. Automatic quantitative analysis of pulmonary vascular morphology in CT images. Med Phys 2019; 46:3985-3997. [PMID: 31206181 PMCID: PMC6852650 DOI: 10.1002/mp.13659] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Revised: 06/07/2019] [Accepted: 06/07/2019] [Indexed: 12/13/2022] Open
Abstract
PURPOSE Vascular remodeling is a significant pathological feature of various pulmonary diseases, which may be assessed by quantitative computed tomography (CT) imaging. The purpose of this study was therefore to develop and validate an automatic method for quantifying pulmonary vascular morphology in CT images. METHODS The proposed method consists of pulmonary vessel extraction and quantification. For extracting pulmonary vessels, a graph-cuts-based method is proposed which considers appearance (CT intensity) and shape (vesselness from a Hessian-based filter) features, and incorporates distance to the airways into the cost function to prevent false detection of airway walls. For quantifying the extracted pulmonary vessels, a radius histogram is generated by counting the occurrence of vessel radii, calculated from a distance transform-based method. Subsequently, two biomarkers, slope α and intercept β, are calculated by linear regression on the radius histogram. A public data set from the VESSEL12 challenge was used to independently evaluate the vessel extraction. The quantitative analysis method was validated using images of a three-dimensional (3D) printed vessel phantom, scanned by a clinical CT scanner and a micro-CT scanner (to obtain a gold standard). To confirm the association between imaging biomarkers and pulmonary function, 77 scleroderma patients were investigated with the proposed method. RESULTS In the independent evaluation with the public data set, our vessel segmentation method obtained an area under the receiver operating characteristic (ROC) curve of 0.976. The median radius difference between clinical and micro-CT scans of a 3D printed vessel phantom was 0.062 ± 0.020 mm, with interquartile range of 0.199 ± 0.050 mm. In the studied patient group, a significant correlation between diffusion capacity for carbon monoxide and the biomarkers, α (R = -0.27, P = 0.018) and β (R = 0.321, P = 0.004), was obtained. CONCLUSION In conclusion, the proposed method was validated independently using a public data set resulting in an area under the ROC curve of 0.976 and using a 3D printed vessel phantom data set, showing a vessel sizing error of 0.062 mm (0.16 in-plane pixel units). The correlation between imaging biomarkers and diffusion capacity in a clinical data set confirmed an association between lung structure and function. This quantification of pulmonary vascular morphology may be helpful in understanding the pathophysiology of pulmonary vascular diseases.
Collapse
Affiliation(s)
- Zhiwei Zhai
- Division of Image ProcessingDepartment of RadiologyLeiden University Medical CenterPO Box 96002300 RCLeidenThe Netherlands
| | - Marius Staring
- Division of Image ProcessingDepartment of RadiologyLeiden University Medical CenterPO Box 96002300 RCLeidenThe Netherlands
| | - Irene Hernández Girón
- Medical Physics, Department of RadiologyLeiden University Medical CenterPO Box 96002300 RCLeidenThe Netherlands
| | - Wouter J. H. Veldkamp
- Medical Physics, Department of RadiologyLeiden University Medical CenterPO Box 96002300 RCLeidenThe Netherlands
| | - Lucia J. Kroft
- Department of RadiologyLeiden University Medical CenterPO Box 96002300 RCLeidenThe Netherlands
| | - Maarten K. Ninaber
- Department of PulmonologyLeiden University Medical CenterPO Box 96002300 RCLeidenThe Netherlands
| | - Berend C. Stoel
- Division of Image ProcessingDepartment of RadiologyLeiden University Medical CenterPO Box 96002300 RCLeidenThe Netherlands
| |
Collapse
|
33
|
Washko GR, Nardelli P, Ash SY, Vegas Sanchez-Ferrero G, Rahaghi FN, Come CE, Dransfield MT, Kalhan R, Han MK, Bhatt SP, Wells JM, Aaron CP, Diaz AA, Ross JC, Cuttica MJ, Labaki WW, Querejeta Roca G, Shah AM, Young K, Kinney GL, Hokanson JE, Agustí A. Arterial Vascular Pruning, Right Ventricular Size, and Clinical Outcomes in Chronic Obstructive Pulmonary Disease. A Longitudinal Observational Study. Am J Respir Crit Care Med 2019; 200:454-461. [PMID: 30758975 PMCID: PMC6701031 DOI: 10.1164/rccm.201811-2063oc] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 02/08/2019] [Indexed: 01/05/2023] Open
Abstract
Rationale: Cor pulmonale (right ventricular [RV] dilation) and cor pulmonale parvus (RV shrinkage) are both described in chronic obstructive pulmonary disease (COPD). The identification of emphysema as a shared risk factor suggests that additional disease characterization is needed to understand these widely divergent cardiac processes.Objectives: To explore the relationship between computed tomography measures of emphysema and distal pulmonary arterial morphology with RV volume, and their association with exercise capacity and mortality in ever-smokers with COPD enrolled in the COPDGene Study.Methods: Epicardial (myocardium and chamber) RV volume (RVEV), distal pulmonary arterial blood vessel volume (arterial BV5: vessels <5 mm2 in cross-section), and objective measures of emphysema were extracted from 3,506 COPDGene computed tomography scans. Multivariable linear and Cox regression models and the log-rank test were used to explore the association between emphysema, arterial BV5, and RVEV with exercise capacity (6-min-walk distance) and all-cause mortality.Measurements and Main Results: The RVEV was approximately 10% smaller in Global Initiative for Chronic Obstructive Lung Disease stage 4 versus stage 1 COPD (P < 0.0001). In multivariable modeling, a 10-ml decrease in arterial BV5 (pruning) was associated with a 1-ml increase in RVEV. For a given amount of emphysema, relative preservation of the arterial BV5 was associated with a smaller RVEV. An increased RVEV was associated with reduced 6-minute-walk distance and in those with arterial pruning an increased mortality.Conclusions: Pulmonary arterial pruning is associated with clinically significant increases in RV volume in smokers with COPD and is related to exercise capacity and mortality in COPD.Clinical trial registered with www.clinicaltrials.gov (NCT00608764).
Collapse
Affiliation(s)
| | | | - Samuel Y. Ash
- Division of Pulmonary and Critical Care, Department of Medicine
| | | | | | - Carolyn E. Come
- Division of Pulmonary and Critical Care, Department of Medicine
| | - Mark T. Dransfield
- Lung Health Center, University of Alabama at Birmingham, Birmingham, Alabama
| | - Ravi Kalhan
- Asthma and COPD Program, Division of Pulmonary and Critical Care Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - MeiLan K. Han
- Division of Pulmonary and Critical Care Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Surya P. Bhatt
- Lung Health Center, University of Alabama at Birmingham, Birmingham, Alabama
| | - J. Michael Wells
- Lung Health Center, University of Alabama at Birmingham, Birmingham, Alabama
| | | | | | - James C. Ross
- Applied Chest Imaging Laboratory, Department of Radiology
| | - Michael J. Cuttica
- Asthma and COPD Program, Division of Pulmonary and Critical Care Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Wassim W. Labaki
- Division of Pulmonary and Critical Care Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | | | - Amil M. Shah
- Division of Cardiovascular, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Kendra Young
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado; and
| | - Gregory L. Kinney
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado; and
| | - John E. Hokanson
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado; and
| | | | - for the COPDGene Investigators
- Division of Pulmonary and Critical Care, Department of Medicine
- Applied Chest Imaging Laboratory, Department of Radiology
- Department of Anesthesia, and
- Division of Cardiovascular, Brigham and Women’s Hospital, Boston, Massachusetts
- Lung Health Center, University of Alabama at Birmingham, Birmingham, Alabama
- Asthma and COPD Program, Division of Pulmonary and Critical Care Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Division of Pulmonary and Critical Care Medicine, University of Michigan Medical School, Ann Arbor, Michigan
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado; and
- Hospital Clinic Barcelona, Barcelona, Spain
| |
Collapse
|
34
|
Rahaghi FN, Argemí G, Nardelli P, Domínguez-Fandos D, Arguis P, Peinado VI, Ross JC, Ash SY, de La Bruere I, Come CE, Diaz AA, Sánchez M, Washko GR, Barberà JA, San José Estépar R. Pulmonary vascular density: comparison of findings on computed tomography imaging with histology. Eur Respir J 2019; 54:1900370. [PMID: 31196942 PMCID: PMC7007984 DOI: 10.1183/13993003.00370-2019] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 05/11/2018] [Indexed: 11/05/2022]
Abstract
BACKGROUND Exposure to cigarette smoke has been shown to lead to vascular remodelling. Computed tomography (CT) imaging measures of vascular pruning have been associated with pulmonary vascular disease, an important morbidity associated with smoking. In this study we compare CT-based measures of distal vessel loss to histological vascular and parenchymal changes. METHODS A retrospective review of 80 patients who had undergone lung resection identified patients with imaging appropriate for three-dimensional (3D) vascular reconstruction (n=18) and a second group for two-dimensional (2D) analysis (n=19). Measurements of the volume of the small vessels (3D) and the cross-sectional area of the small vessels (<5 mm2 cross-section) were computed. Histological measures of cross-sectional area of the vasculature and loss of alveoli septa were obtained for all subjects. RESULTS The 2D cross-sectional area of the vasculature on CT imaging was associated with the histological vascular cross-sectional area (r=0.69; p=0.001). The arterial small vessel volume assessed by CT correlated with the histological vascular cross-sectional area (r=0.50; p=0.04), a relationship that persisted even when adjusted for CT-derived measures of emphysema in a regression model. CONCLUSIONS Loss of small vessel volume in CT imaging of smokers is associated with histological loss of vascular cross-sectional area. Imaging-based quantification of pulmonary vasculature provides a noninvasive method to study the multiscale effects of smoking on the pulmonary circulation.
Collapse
Affiliation(s)
- Farbod N Rahaghi
- Pulmonary and Critical Care Division, Dept of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Equal contributors on this article
| | - Gemma Argemí
- Dept of Pulmonary Medicine, Hospital Clínic-IDIBAPS, University of Barcelona, Barcelona, Spain
- Equal contributors on this article
| | - Pietro Nardelli
- Dept of Radiology, Harvard School of Medicine, Boston, MA, USA
| | - David Domínguez-Fandos
- Dept of Pulmonary Medicine, Hospital Clínic-IDIBAPS, University of Barcelona, Barcelona, Spain
| | - Pedro Arguis
- Dept of Radiology, Hospital Clínic-IDIBAPS, University of Barcelona, Barcelona, Spain
| | - Víctor I Peinado
- Dept of Pulmonary Medicine, Hospital Clínic-IDIBAPS, University of Barcelona, Barcelona, Spain
- Biomedical Research Networking Center for Respiratory Diseases (CIBERES), Madrid Spain
| | - James C Ross
- Dept of Radiology, Harvard School of Medicine, Boston, MA, USA
| | - Samuel Y Ash
- Pulmonary and Critical Care Division, Dept of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Isaac de La Bruere
- Pulmonary and Critical Care Division, Dept of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Carolyn E Come
- Pulmonary and Critical Care Division, Dept of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Alejandro A Diaz
- Pulmonary and Critical Care Division, Dept of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Marcelo Sánchez
- Dept of Radiology, Hospital Clínic-IDIBAPS, University of Barcelona, Barcelona, Spain
| | - George R Washko
- Pulmonary and Critical Care Division, Dept of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Equal contributors on this article
| | - Joan Albert Barberà
- Dept of Pulmonary Medicine, Hospital Clínic-IDIBAPS, University of Barcelona, Barcelona, Spain
- Biomedical Research Networking Center for Respiratory Diseases (CIBERES), Madrid Spain
- Equal contributors on this article
| | - Raúl San José Estépar
- Pulmonary and Critical Care Division, Dept of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Equal contributors on this article
| |
Collapse
|
35
|
Kiely DG, Levin DL, Hassoun PM, Ivy D, Jone PN, Bwika J, Kawut SM, Lordan J, Lungu A, Mazurek JA, Moledina S, Olschewski H, Peacock AJ, Puri G, Rahaghi FN, Schafer M, Schiebler M, Screaton N, Tawhai M, van Beek EJ, Vonk-Noordegraaf A, Vandepool R, Wort SJ, Zhao L, Wild JM, Vogel-Claussen J, Swift AJ. EXPRESS: Statement on imaging and pulmonary hypertension from the Pulmonary Vascular Research Institute (PVRI). Pulm Circ 2019; 9:2045894019841990. [PMID: 30880632 PMCID: PMC6732869 DOI: 10.1177/2045894019841990] [Citation(s) in RCA: 90] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 03/01/2019] [Indexed: 01/08/2023] Open
Abstract
Pulmonary hypertension (PH) is highly heterogeneous and despite treatment advances it remains a life-shortening condition. There have been significant advances in imaging technologies, but despite evidence of their potential clinical utility, practice remains variable, dependent in part on imaging availability and expertise. This statement summarizes current and emerging imaging modalities and their potential role in the diagnosis and assessment of suspected PH. It also includes a review of commonly encountered clinical and radiological scenarios, and imaging and modeling-based biomarkers. An expert panel was formed including clinicians, radiologists, imaging scientists, and computational modelers. Section editors generated a series of summary statements based on a review of the literature and professional experience and, following consensus review, a diagnostic algorithm and 55 statements were agreed. The diagnostic algorithm and summary statements emphasize the key role and added value of imaging in the diagnosis and assessment of PH and highlight areas requiring further research.
Collapse
Affiliation(s)
- David G. Kiely
- Sheffield Pulmonary Vascular Disease
Unit, Royal Hallamshire Hospital, Sheffield, UK
- Department of Infection, Immunity and
Cardiovascular Disease and Insigneo Institute, University of Sheffield, Sheffield,
UK
| | - David L. Levin
- Department of Radiology, Mayo Clinic,
Rochester, MN, USA
| | - Paul M. Hassoun
- Department of Medicine John Hopkins
University, Baltimore, MD, USA
| | - Dunbar Ivy
- Paediatric Cardiology, Children’s
Hospital, University of Colorado School of Medicine, Denver, CO, USA
| | - Pei-Ni Jone
- Paediatric Cardiology, Children’s
Hospital, University of Colorado School of Medicine, Denver, CO, USA
| | | | - Steven M. Kawut
- Department of Medicine, Perelman School
of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Jim Lordan
- Freeman Hospital, Newcastle Upon Tyne,
Newcastle, UK
| | - Angela Lungu
- Technical University of Cluj-Napoca,
Cluj-Napoca, Romania
| | - Jeremy A. Mazurek
- Division of Cardiovascular Medicine,
Hospital
of the University of Pennsylvania,
Philadelphia, PA, USA
| | | | - Horst Olschewski
- Division of Pulmonology, Ludwig
Boltzmann Institute Lung Vascular Research, Graz, Austria
| | - Andrew J. Peacock
- Scottish Pulmonary Vascular Disease,
Unit, University of Glasgow, Glasgow, UK
| | - G.D. Puri
- Department of Anaesthesiology and
Intensive Care, Post Graduate Institute of Medical Education and Research,
Chandigarh, India
| | - Farbod N. Rahaghi
- Brigham and Women’s Hospital, Harvard
Medical School, Boston, MA, USA
| | - Michal Schafer
- Paediatric Cardiology, Children’s
Hospital, University of Colorado School of Medicine, Denver, CO, USA
| | - Mark Schiebler
- Department of Radiology, University of
Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | | | - Merryn Tawhai
- Auckland Bioengineering Institute,
Auckland, New Zealand
| | - Edwin J.R. van Beek
- Edinburgh Imaging, Queens Medical
Research Institute, University of Edinburgh, Edinburgh, UK
| | | | - Rebecca Vandepool
- University of Arizona, Division of
Translational and Regenerative Medicine, Tucson, AZ, USA
| | - Stephen J. Wort
- Royal Brompton Hospital, London,
UK
- Imperial College, London, UK
| | | | - Jim M. Wild
- Department of Infection, Immunity and
Cardiovascular Disease and Insigneo Institute, University of Sheffield, Sheffield,
UK
- Academic Department of Radiology,
University of Sheffield, Sheffield, UK
| | - Jens Vogel-Claussen
- Institute of diagnostic and
Interventional Radiology, Medical Hospital Hannover, Hannover, Germany
| | - Andrew J. Swift
- Department of Infection, Immunity and
Cardiovascular Disease and Insigneo Institute, University of Sheffield, Sheffield,
UK
- Academic Department of Radiology,
University of Sheffield, Sheffield, UK
| |
Collapse
|
36
|
Coste F, Benlala I, Dournes G, Dromer C, Blanchard E, Girodet PO, Montaudon M, Baldacci F, Picard F, Marthan R, Laurent F, Berger P. Quantitative CT assessment of bronchial and vascular alterations in severe precapillary pulmonary hypertension. Int J Chron Obstruct Pulmon Dis 2019; 14:381-389. [PMID: 30809092 PMCID: PMC6377046 DOI: 10.2147/copd.s177638] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Background Little is known about in vivo alterations at bronchial and vascular levels in severe pulmonary hypertension (PH) of different etiologies. We aimed to compare quantitative computed tomography (CT) data from the following three groups of severe precapillary PH patients: COPD, idiopathic pulmonary arterial hypertension (iPAH), and chronic thromboembolic PH (CTEPH). Patients and methods This study was approved by the institutional review board. Severe PH patients (mean pulmonary arterial pressure [mPAP] ≥35 mmHg) with COPD, iPAH, or CTEPH (n=24, 16, or 16, respectively) were included retrospectively between January 2008 and January 2017. Univariate analysis of mPAP was performed in each severe PH group. Bronchial wall thickness (WT) and percentage of cross sectional area of pulmonary vessels less than 5 mm2 normalized by lung area (%CSA<5) were measured and compared using CT, and then combined to arterial partial pressure of oxygen (PaO2) to generate a “paw score” compared within the three groups using Kruskal–Wallis and its sensitivity using Fisher’s exact test. Results WT was higher and %CSA<5 was lower in the COPD group compared to iPAH and CTEPH groups. Mosaic pattern was higher in CTEPH group than in others. In severe PH patients secondary to COPD, mPAP was positively correlated to %CSA<5. By contrast, in severe iPAH, this correlation was negative, or not correlated in severe CTEPH groups. In the COPD group, “paw score” showed higher sensitivity than in the other two groups. Conclusion Unlike in severe iPAH and CTEPH, severe PH with COPD can be predicted by “paw score” reflecting bronchial and vascular morphological differential alterations.
Collapse
Affiliation(s)
- Florence Coste
- Université de Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, F-33000 Bordeaux, France, .,Centre de Recherche Cardio-Thoracique de Bordeaux, INSERM, U1045, Université de Bordeaux, CIC1401, F-33000 Bordeaux, France,
| | - Ilyes Benlala
- Université de Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, F-33000 Bordeaux, France, .,Centre de Recherche Cardio-Thoracique de Bordeaux, INSERM, U1045, Université de Bordeaux, CIC1401, F-33000 Bordeaux, France,
| | - Gaël Dournes
- Université de Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, F-33000 Bordeaux, France, .,Centre de Recherche Cardio-Thoracique de Bordeaux, INSERM, U1045, Université de Bordeaux, CIC1401, F-33000 Bordeaux, France, .,CHU de Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service de Cardiologie, CIC1401, Service d'Explorations Fonctionnelles Respiratoires, F-33600 Pessac, France
| | - Claire Dromer
- CHU de Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service de Cardiologie, CIC1401, Service d'Explorations Fonctionnelles Respiratoires, F-33600 Pessac, France
| | - Elodie Blanchard
- CHU de Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service de Cardiologie, CIC1401, Service d'Explorations Fonctionnelles Respiratoires, F-33600 Pessac, France
| | - Pierre-Olivier Girodet
- Université de Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, F-33000 Bordeaux, France, .,Centre de Recherche Cardio-Thoracique de Bordeaux, INSERM, U1045, Université de Bordeaux, CIC1401, F-33000 Bordeaux, France, .,CHU de Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service de Cardiologie, CIC1401, Service d'Explorations Fonctionnelles Respiratoires, F-33600 Pessac, France
| | - Michel Montaudon
- Université de Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, F-33000 Bordeaux, France, .,Centre de Recherche Cardio-Thoracique de Bordeaux, INSERM, U1045, Université de Bordeaux, CIC1401, F-33000 Bordeaux, France, .,CHU de Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service de Cardiologie, CIC1401, Service d'Explorations Fonctionnelles Respiratoires, F-33600 Pessac, France
| | - Fabien Baldacci
- Université de Bordeaux, LaBRI, F-33405 Talence Cedex, France
| | - François Picard
- CHU de Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service de Cardiologie, CIC1401, Service d'Explorations Fonctionnelles Respiratoires, F-33600 Pessac, France
| | - Roger Marthan
- Université de Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, F-33000 Bordeaux, France, .,Centre de Recherche Cardio-Thoracique de Bordeaux, INSERM, U1045, Université de Bordeaux, CIC1401, F-33000 Bordeaux, France, .,CHU de Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service de Cardiologie, CIC1401, Service d'Explorations Fonctionnelles Respiratoires, F-33600 Pessac, France
| | - François Laurent
- Université de Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, F-33000 Bordeaux, France, .,Centre de Recherche Cardio-Thoracique de Bordeaux, INSERM, U1045, Université de Bordeaux, CIC1401, F-33000 Bordeaux, France, .,CHU de Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service de Cardiologie, CIC1401, Service d'Explorations Fonctionnelles Respiratoires, F-33600 Pessac, France
| | - Patrick Berger
- Université de Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, F-33000 Bordeaux, France, .,Centre de Recherche Cardio-Thoracique de Bordeaux, INSERM, U1045, Université de Bordeaux, CIC1401, F-33000 Bordeaux, France, .,CHU de Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service de Cardiologie, CIC1401, Service d'Explorations Fonctionnelles Respiratoires, F-33600 Pessac, France
| |
Collapse
|
37
|
Nardelli P, Jimenez-Carretero D, Bermejo-Pelaez D, Washko GR, Rahaghi FN, Ledesma-Carbayo MJ, San Jose Estepar R. Pulmonary Artery-Vein Classification in CT Images Using Deep Learning. IEEE TRANSACTIONS ON MEDICAL IMAGING 2018; 37:2428-2440. [PMID: 29993996 PMCID: PMC6214740 DOI: 10.1109/tmi.2018.2833385] [Citation(s) in RCA: 79] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Recent studies show that pulmonary vascular diseases may specifically affect arteries or veins through different physiologic mechanisms. To detect changes in the two vascular trees, physicians manually analyze the chest computed tomography (CT) image of the patients in search of abnormalities. This process is time consuming, difficult to standardize, and thus not feasible for large clinical studies or useful in real-world clinical decision making. Therefore, automatic separation of arteries and veins in CT images is becoming of great interest, as it may help physicians to accurately diagnose pathological conditions. In this paper, we present a novel, fully automatic approach to classify vessels from chest CT images into arteries and veins. The algorithm follows three main steps: first, a scale-space particles segmentation to isolate vessels; then a 3-D convolutional neural network (CNN) to obtain a first classification of vessels; finally, graph-cuts' optimization to refine the results. To justify the usage of the proposed CNN architecture, we compared different 2-D and 3-D CNNs that may use local information from bronchus- and vessel-enhanced images provided to the network with different strategies. We also compared the proposed CNN approach with a random forests (RFs) classifier. The methodology was trained and evaluated on the superior and inferior lobes of the right lung of 18 clinical cases with noncontrast chest CT scans, in comparison with manual classification. The proposed algorithm achieves an overall accuracy of 94%, which is higher than the accuracy obtained using other CNN architectures and RF. Our method was also validated with contrast-enhanced CT scans of patients with chronic thromboembolic pulmonary hypertension to demonstrate that our model generalizes well to contrast-enhanced modalities. The proposed method outperforms state-of-the-art methods, paving the way for future use of 3-D CNN for artery/vein classification in CT images.
Collapse
|
38
|
Treatment Effect of Balloon Pulmonary Angioplasty in Chronic Thromboembolic Pulmonary Hypertension Quantified by Automatic Comparative Imaging in Computed Tomography Pulmonary Angiography. Invest Radiol 2018; 53:286-292. [DOI: 10.1097/rli.0000000000000441] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
|
39
|
Pienn M, Burgard C, Payer C, Avian A, Urschler M, Stollberger R, Olschewski A, Olschewski H, Johnson T, Meinel FG, Bálint Z. Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography. Front Physiol 2018; 9:346. [PMID: 29755360 PMCID: PMC5932382 DOI: 10.3389/fphys.2018.00346] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Accepted: 03/20/2018] [Indexed: 11/13/2022] Open
Abstract
Knowledge of the lung vessel morphology in healthy subjects is necessary to improve our understanding about the functional network of the lung and to recognize pathologic deviations beyond the normal inter-subject variation. Established values of normal lung morphology have been derived from necropsy material of only very few subjects. In order to determine morphologic readouts from a large number of healthy subjects, computed tomography pulmonary angiography (CTPA) datasets, negative for pulmonary embolism, and other thoracic pathologies, were analyzed using a fully-automatic, in-house developed artery/vein separation algorithm. The number, volume, and tortuosity of the vessels in a diameter range between 2 and 10 mm were determined. Visual inspection of all datasets was used to exclude subjects with poor image quality or inadequate artery/vein separation from the analysis. Validation of the algorithm was performed manually by a radiologist on randomly selected subjects. In 123 subjects (men/women: 55/68), aged 59 ± 17 years, the median overlap between visual inspection and fully-automatic segmentation was 94.6% (69.2–99.9%). The median number of vessel segments in the ranges of 8–10, 6–8, 4–6, and 2–4 mm diameter was 9, 34, 134, and 797, respectively. Number of vessel segments divided by the subject's lung volume was 206 vessels/L with arteries and veins contributing almost equally. In women this vessel density was about 15% higher than in men. Median arterial and venous volumes were 1.52 and 1.54% of the lung volume, respectively. Tortuosity was best described with the sum-of-angles metric and was 142.1 rad/m (138.3–144.5 rad/m). In conclusion, our fully-automatic artery/vein separation algorithm provided reliable measures of pulmonary arteries and veins with respect to age and gender. There was a large variation between subjects in all readouts. No relevant dependence on age, gender, or vessel type was observed. These data may provide reference values for morphometric analysis of lung vessels.
Collapse
Affiliation(s)
- Michael Pienn
- Ludwig Boltzmann Institute for Lung Vascular Research, Graz, Austria
| | - Caroline Burgard
- Clinic and Policlinic of Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Christian Payer
- Ludwig Boltzmann Institute for Lung Vascular Research, Graz, Austria.,Faculty of Computer Science and Biomedical Engineering, Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria
| | - Alexander Avian
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - Martin Urschler
- Faculty of Computer Science and Biomedical Engineering, Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria.,Ludwig Boltzmann Institute for Clinical-Forensic Imaging, Graz, Austria
| | - Rudolf Stollberger
- Faculty of Computer Science and Biomedical Engineering, Institute of Medical Engineering, Graz University of Technology, Graz, Austria
| | - Andrea Olschewski
- Ludwig Boltzmann Institute for Lung Vascular Research, Graz, Austria
| | - Horst Olschewski
- Ludwig Boltzmann Institute for Lung Vascular Research, Graz, Austria.,Division of Pulmonology, Department of Internal Medicine, Medical University of Graz, Graz, Austria
| | | | - Felix G Meinel
- Department of Diagnostic and Interventional Radiology, Rostock University Medical Center, Rostock, Germany
| | - Zoltán Bálint
- Ludwig Boltzmann Institute for Lung Vascular Research, Graz, Austria.,Faculty of Physics, Babeş-Bolyai University, Cluj-Napoca, Romania
| |
Collapse
|
40
|
Abstract
Chronic thromboembolic pulmonary hypertension (CTEPH) is one of the potentially curable causes of pulmonary hypertension and is definitively treated with pulmonary thromboendartectomy. CTEPH can be overlooked, as its symptoms are nonspecific and can be mimicked by a wide range of diseases that can cause pulmonary hypertension. Early diagnosis of CTEPH and prompt evaluation for surgical candidacy are paramount factors in determining future outcomes. Imaging plays a central role in the diagnosis of CTEPH and patient selection for pulmonary thromboendartectomy and balloon pulmonary angioplasty. Currently, various imaging tools are used in concert, with techniques such as computed tomography (CT) and conventional pulmonary angiography providing detailed structural information, tests such as ventilation-perfusion (V/Q) scanning providing functional data, and magnetic resonance imaging providing a combination of morphologic and functional information. Emerging techniques such as dual-energy CT and single photon emission computed tomography-CT V/Q scanning promise to provide both anatomic and functional information in a single test and may change the way we image these patients in the near future. In this review, we discuss the roles of various imaging techniques and discuss their merits, limitations, and relative strengths in depicting the structural and functional changes of CTEPH. We also explore newer imaging techniques and the potential value they may offer.
Collapse
|
41
|
Müller AV, Marschner CB, Kristensen AT, Wiinberg B, Sato AF, Rubio JMA, McEvoy FJ. Pulmonary vasculature in dogs assessed by three-dimensional fractal analysis and chemometrics. Vet Radiol Ultrasound 2017; 58:653-663. [DOI: 10.1111/vru.12536] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 05/08/2017] [Accepted: 05/24/2017] [Indexed: 11/30/2022] Open
Affiliation(s)
- Anna V. Müller
- Department of Veterinary Clinical Sciences; University of Copenhagen; Frederiksberg C Denmark
| | - Clara B. Marschner
- Department of Veterinary Clinical Sciences; University of Copenhagen; Frederiksberg C Denmark
| | - Annemarie T. Kristensen
- Department of Veterinary Clinical Sciences; University of Copenhagen; Frederiksberg C Denmark
| | - Bo Wiinberg
- Haemophilia Biology, Global Research Unit; Novo Nordisk A/S; Maaloev Denmark
| | - Amy F. Sato
- Department of Clinical Sciences; Tufts Cummings School of Veterinary Medicine; North Grafton MA
| | - Jose M. A. Rubio
- Department of Food Science; University of Copenhagen; Frederiksberg C Denmark
| | - Fintan J. McEvoy
- Department of Veterinary Clinical Sciences; University of Copenhagen; Frederiksberg C Denmark
| |
Collapse
|
42
|
Faight EM, Verdelis K, Zourelias L, Chong R, Benza RL, Shields KJ. MicroCT analysis of vascular morphometry: a comparison of right lung lobes in the SUGEN/hypoxic rat model of pulmonary arterial hypertension. Pulm Circ 2017; 7:522-530. [PMID: 28597764 PMCID: PMC5467946 DOI: 10.1177/2045893217709001] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Pulmonary arterial hypertension (PAH) is a rare disease characterized by significant vascular remodeling within the lung. Clinical computed tomography (CT) scans are routinely used to aid in PAH diagnosis. Animal models, including the Sugen-hypoxic rat model (SU/hyp), of PAH closely mimic human PAH development. We have previously used micro-computed tomography (microCT) to find extensive right lung vascular remodeling in the SU/hyp. We hypothesized that the individual right lung lobes may not contribute equally to overall lung vascular remodeling. Sprague-Dawley rats were subjected to a subcutaneous injection of vascular endothelial growth factor receptor blocker (Sugen 5416) and subsequently exposed to chronic hypoxic conditions (10% O2) for three weeks. Following perfusion of the lung vasculature with an opaque resin (Microfil), the right lung lobes were microCT-imaged with a 10-µm voxel resolution and 3D morphometry analysis was performed separately on each lobe. As expected, we found a significantly lower ratio of vascular volume to total lobe volume in the SU/hyp compared with the control, but only in the distal lobes (inferior: 0.23 [0.21–0.30] versus 0.35 [0.27–0.43], P = 0.02; accessory: 0.27 [0.25–0.33] versus 0.37 [0.29–0.43], P = 0.06). Overall, we observed significantly fewer continuous blood vessels and reduced vascular density while having greater vascular lumen diameters in the distal lobes of both groups (P < 0.05). In addition, the vascular separation within the SU/hyp lobes and the vascular surface area to volume ratio were significantly greater in the SU/hyp lobes compared with controls (P < 0.03). Results for the examined parameters support the overall extensive vascular remodeling in the SU/hyp model and suggest this may be lobe-dependent.
Collapse
Affiliation(s)
- Erin M Faight
- 1 Lupus Center of Excellence - Autoimmunity Institute, Department of Medicine, Allegheny Health Network, Pittsburgh, PA, USA
| | - Kostas Verdelis
- 2 Division of Endodontics at the Department of Restorative Dentistry and Comprehensive Care and the Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lee Zourelias
- 3 Cardiovascular Institute, Department of Medicine, Allegheny Health Network, Pittsburgh, PA, USA
| | - Rong Chong
- 2 Division of Endodontics at the Department of Restorative Dentistry and Comprehensive Care and the Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Raymond L Benza
- 3 Cardiovascular Institute, Department of Medicine, Allegheny Health Network, Pittsburgh, PA, USA
| | - Kelly J Shields
- 1 Lupus Center of Excellence - Autoimmunity Institute, Department of Medicine, Allegheny Health Network, Pittsburgh, PA, USA
| |
Collapse
|