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Hashimoto M, Egawa S, Hirai T, Hashimoto J, Morishita S, Yamada K, Matsukura Y, Kaho R, Hada H, Oyama J, Yoshii T. Detection of Dural Defect Localization Using 4-Dimensional Dynamic Computed Tomography Myelography for Patients with Superficial Siderosis. World Neurosurg 2024; 187:e798-e806. [PMID: 38705268 DOI: 10.1016/j.wneu.2024.04.167] [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: 01/16/2024] [Revised: 04/26/2024] [Accepted: 04/27/2024] [Indexed: 05/07/2024]
Abstract
BACKGROUND There are cases of superficial siderosis (SS) with spinal ventral fluid-filled collection in the spinal canal. In our previous study, the balanced steady-state free precession sequence magnetic resonance imaging is useful in identifying the location of dural defects. However, because of its narrow scan area and long scan time, it cannot easily detect the defect location in some patients with small dural defect. In this study, we applied 4-dimensional (4D) dynamic computed tomography (CT) imaging, including time-axis imaging, to myelography using the latest CT imaging equipment, which can perform short-time continuous imaging, to identify the dural defect site. METHODS Twenty SS patients with ventral fluid-filled collection in the spinal canal (9 males, 11 females; mean age 61.6 years) underwent 4D dynamic CT myelography. A 192-row helical CT (SOMATOM Force, SIEMENS, Munich, Germany) with high-speed scanning capability was used to obtain 9-11 scans per minute at low dose while passing contrast medium into the subarachnoid space. Then, contrast leakage sites were identified. RESULTS The contrast leakage sites could be identified in all 20 cases: C7/Th1, 2 cases; Th1/2, 5 cases; Th2/3, 9 cases; Th3/4, 1 case; Th5/6, 1 case; Th7/8, 1 case; and Th8/9, 1 case. Eighteen cases underwent surgical operation, and actual dural defects were confirmed at the contrast leakage sites. The mean ± standard deviation of leakage time from contrast agent injection was 19.0 ± 9.2 s. CONCLUSIONS The 4D dynamic CT myelography can be used to reliably identify the location of spinal fluid leakage. In SS cases, dural defects could be visualized in an average of 19 seconds.
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Affiliation(s)
- Motonori Hashimoto
- Department of Orthopedic Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Satoru Egawa
- Department of Orthopedic Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Takashi Hirai
- Department of Orthopedic Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Jun Hashimoto
- Department of Orthopedic Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Shingo Morishita
- Department of Orthopedic Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Kentaro Yamada
- Department of Orthopedic Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yu Matsukura
- Department of Orthopedic Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Ryosuke Kaho
- Department of Radiology, Tokyo Medical and Dental University, Tokyo, Japan
| | - Hiroto Hada
- Department of Radiology, Tokyo Medical and Dental University, Tokyo, Japan
| | - Jun Oyama
- Department of Radiology, Tokyo Medical and Dental University, Tokyo, Japan
| | - Toshitaka Yoshii
- Department of Orthopedic Surgery, Tokyo Medical and Dental University, Tokyo, Japan.
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Silva D, Muders T, Wodack K, Putensen C, Leonhardt S, Siepmann R, Hentze B, Reinartz S. Pulmonary CT perfusion robustly measures cardiac output in the context of multilevel pulmonary occlusion: a porcine study. Eur Radiol Exp 2024; 8:51. [PMID: 38517595 PMCID: PMC10959917 DOI: 10.1186/s41747-024-00431-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 01/09/2024] [Indexed: 03/24/2024] Open
Abstract
BACKGROUND To validate pulmonary computed tomography (CT) perfusion in a porcine model by invasive monitoring of cardiac output (CO) using thermodilution method. METHODS Animals were studied at a single center, using a Swan-Ganz catheter for invasive CO monitoring as a reference. Fifteen pigs were included. Contrast-enhanced CT perfusion of the descending aorta and right and left pulmonary artery was performed. For variation purposes, a balloon catheter was inserted to block the contralateral pulmonary vascular bed; additionally, two increased CO settings were created by intravenous administration of catecholamines. Finally, stepwise capillary occlusion was performed by intrapulmonary arterial injection of 75-μm microspheres in four stages. A semiautomatic selection of AFs and a recirculation-aware tracer-kinetics model to extract the first-pass of AFs, estimating blood flow with the Stewart-Hamilton method, was implemented. Linear mixed models (LMM) were developed to calibrate blood flow calculations accounting with individual- and cohort-level effects. RESULTS Nine of 15 pigs had complete datasets. Strong correlations were observed between calibrated pulmonary (0.73, 95% confidence interval [CI] 0.6-0.82) and aortic blood flow measurements (0.82, 95% CI, 0.73-0.88) and the reference as well as agreements (± 2.24 L/min and ± 1.86 L/min, respectively) comparable to the state of the art, on a relatively wide range of right ventricle-CO measurements. CONCLUSIONS CT perfusion validly measures CO using LMMs at both individual and cohort levels, as demonstrated by referencing the invasive CO. RELEVANCE STATEMENT Possible clinical applications of CT perfusion for measuring CO could be in acute pulmonary thromboembolism or to assess right ventricular function to show impairment or mismatch to the left ventricle. KEY POINTS • CT perfusion measures flow in vessels. • CT perfusion measures cumulative cardiac output in the aorta and pulmonary vessels. • CT perfusion validly measures CO using LMMs at both individual and cohort levels, as demonstrated by using the invasive CO as a reference standard.
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Affiliation(s)
- Diogo Silva
- Medical Information Technology (MedIT), RWTH Aachen University, Aachen, Germany
| | - Thomas Muders
- Department of Anaesthesiology and Intensive Care Medicine, University Bonn, Bonn, Germany
| | - Karin Wodack
- Department of Anaesthesiology and Intensive Care Medicine, University Bonn, Bonn, Germany
| | - Christian Putensen
- Department of Anaesthesiology and Intensive Care Medicine, University Bonn, Bonn, Germany
| | - Steffen Leonhardt
- Medical Information Technology (MedIT), RWTH Aachen University, Aachen, Germany
| | - Robert Siepmann
- Department of Diagnostic and Interventional Radiology, Uniklinik RWTH Aachen, Aachen, Germany
| | - Benjamin Hentze
- Medical Information Technology (MedIT), RWTH Aachen University, Aachen, Germany
- Department of Anaesthesiology and Intensive Care Medicine, University Bonn, Bonn, Germany
| | - Sebastian Reinartz
- Department of Diagnostic and Interventional Radiology, Uniklinik RWTH Aachen, Aachen, Germany.
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Nakamura H, Hirai T, Kurosawa H, Hamada K, Matsunaga K, Shimizu K, Konno S, Muro S, Fukunaga K, Nakano Y, Kuwahira I, Hanaoka M. Current advances in pulmonary functional imaging. Respir Investig 2024; 62:49-65. [PMID: 37948969 DOI: 10.1016/j.resinv.2023.09.004] [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] [Received: 03/21/2023] [Revised: 08/26/2023] [Accepted: 09/07/2023] [Indexed: 11/12/2023]
Abstract
Recent advances in imaging analysis have enabled evaluation of ventilation and perfusion in specific regions by chest computed tomography (CT) and magnetic resonance imaging (MRI), in addition to modalities including dynamic chest radiography, scintigraphy, positron emission tomography (PET), ultrasound, and electrical impedance tomography (EIT). In this review, an overview of current functional imaging techniques is provided for each modality. Advances in chest CT have allowed for the analysis of local volume changes and small airway disease in addition to emphysema, using the Jacobian determinant and parametric response mapping with inspiratory and expiratory images. Airway analysis can reveal characteristics of airway lesions in chronic obstructive pulmonary disease (COPD) and bronchial asthma, and the contribution of dysanapsis to obstructive diseases. Chest CT is also employed to measure pulmonary blood vessels, interstitial lung abnormalities, and mediastinal and chest wall components including skeletal muscle and bone. Dynamic CT can visualize lung deformation in respective portions. Pulmonary MRI has been developed for the estimation of lung ventilation and perfusion, mainly using hyperpolarized 129Xe. Oxygen-enhanced and proton-based MRI, without a polarizer, has potential clinical applications. Dynamic chest radiography is gaining traction in Japan for ventilation and perfusion analysis. Single photon emission CT can be used to assess ventilation-perfusion (V˙/Q˙) mismatch in pulmonary vascular diseases and COPD. PET/CT V˙/Q˙ imaging has also been demonstrated using "Galligas". Both ultrasound and EIT can detect pulmonary edema caused by acute respiratory distress syndrome. Familiarity with these functional imaging techniques will enable clinicians to utilize these systems in clinical practice.
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Affiliation(s)
- Hidetoshi Nakamura
- Department of Respiratory Medicine, Saitama Medical University, Saitama, Japan.
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hajime Kurosawa
- Center for Environmental Conservation and Research Safety and Department of Occupational Health, Tohoku University School of Medicine, Sendai, Japan
| | - Kazuki Hamada
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, Ube, Japan
| | - Kazuto Matsunaga
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, Ube, Japan
| | - Kaoruko Shimizu
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Satoshi Konno
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Shigeo Muro
- Department of Respiratory Medicine, Nara Medical University, Nara, Japan
| | - Koichi Fukunaga
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Yasutaka Nakano
- Division of Respiratory Medicine, Department of Internal Medicine, Shiga University of Medical Science, Otsu, Japan
| | - Ichiro Kuwahira
- Division of Pulmonary Medicine, Department of Medicine, Tokai University Tokyo Hospital, Tokyo, Japan
| | - Masayuki Hanaoka
- First Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Japan
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Zhao Y, Hubbard L, Malkasian S, Abbona P, Molloi S. Contrast timing optimization of a two-volume dynamic CT pulmonary perfusion technique. Sci Rep 2022; 12:8212. [PMID: 35581304 PMCID: PMC9114423 DOI: 10.1038/s41598-022-12016-8] [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: 03/31/2021] [Accepted: 04/21/2022] [Indexed: 11/12/2022] Open
Abstract
The purpose of this study is to develop and validate an optimal timing protocol for a low-radiation-dose CT pulmonary perfusion technique using only two volume scans. A total of 24 swine (48.5 ± 14.3 kg) underwent contrast-enhanced dynamic CT. Multiple contrast injections were made under different pulmonary perfusion conditions, resulting in a total of 141 complete pulmonary arterial input functions (AIFs). Using all the AIF curves, an optimal contrast timing protocol was developed for a first-pass, two-volume dynamic CT perfusion technique (one at the base and the other at the peak of AIF curve). A subset of swine was used to validate the prospective two-volume pulmonary perfusion technique. The prospective two-volume perfusion measurements were quantitatively compared to the previously validated retrospective perfusion measurements with t-test, linear regression, and Bland–Altman analysis. As a result, the pulmonary artery time-to-peak (\documentclass[12pt]{minimal}
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\begin{document}$${T}_{PA}$$\end{document}TPA) was related to one-half of the contrast injection duration (\documentclass[12pt]{minimal}
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\begin{document}$$\frac{{T}_{Inj}}{2}$$\end{document}TInj2) by \documentclass[12pt]{minimal}
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\begin{document}$${T}_{PA}=1.01\frac{{T}_{Inj}}{2}+1.01$$\end{document}TPA=1.01TInj2+1.01 (r = 0.95). The prospective two-volume perfusion measurements (PPRO) were related to the retrospective measurements (PRETRO) by PPRO = 0.87PRETRO + 0.56 (r = 0.88). The CT dose index and size-specific dose estimate of the two-volume CT technique were estimated to be 28.4 and 47.0 mGy, respectively. The optimal timing protocol can enable an accurate, low-radiation-dose two-volume dynamic CT perfusion technique.
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Affiliation(s)
- Yixiao Zhao
- Department of Radiological Sciences, Medical Sciences I, B-140, University of California, Irvine, Irvine, CA, 92697, USA
| | - Logan Hubbard
- Department of Radiological Sciences, Medical Sciences I, B-140, University of California, Irvine, Irvine, CA, 92697, USA
| | - Shant Malkasian
- Department of Radiological Sciences, Medical Sciences I, B-140, University of California, Irvine, Irvine, CA, 92697, USA
| | - Pablo Abbona
- Department of Radiological Sciences, Medical Sciences I, B-140, University of California, Irvine, Irvine, CA, 92697, USA
| | - Sabee Molloi
- Department of Radiological Sciences, Medical Sciences I, B-140, University of California, Irvine, Irvine, CA, 92697, USA.
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Can dynamic imaging, using 18F-FDG PET/CT and CT perfusion differentiate between benign and malignant pulmonary nodules? Radiol Oncol 2021; 55:259-267. [PMID: 34051709 PMCID: PMC8366734 DOI: 10.2478/raon-2021-0024] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 04/24/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The aim of the study was to derive and compare metabolic parameters relating to benign and malignant pulmonary nodules using dynamic 2-deoxy-2-[fluorine-18]fluoro-D-glucose (18F-FDG) PET/CT, and nodule perfusion parameters derived through perfusion computed tomography (CT). PATIENTS AND METHODS Twenty patients with 21 pulmonary nodules incidentally detected on CT underwent a dynamic 18F-FDG PET/CT and a perfusion CT. The maximum standardized uptake value (SUVmax) was measured on conventional 18F-FDG PET/CT images. The influx constant (Ki ) was calculated from the dynamic 18F-FDG PET/CT data using Patlak model. Arterial flow (AF) using the maximum slope model and blood volume (BV) using the Patlak plot method for each nodule were calculated from the perfusion CT data. All nodules were characterized as malignant or benign based on histopathology or 2 year follow up CT. All parameters were statistically compared between the two groups using the nonparametric Mann-Whitney test. RESULTS Twelve malignant and 9 benign lung nodules were analysed (median size 20.1 mm, 9-29 mm) in 21 patients (male/female = 11/9; mean age ± SD: 65.3 ± 7.4; age range: 50-76 years). The average SUVmax values ± SD of the benign and malignant nodules were 2.2 ± 1.7 vs. 7.0 ± 4.5, respectively (p = 0.0148). Average Ki values in benign and malignant nodules were 0.0057 ± 0.0071 and 0.0230 ± 0.0155 min-1, respectively (p = 0.0311). Average BV for the benign and malignant nodules were 11.6857 ± 6.7347 and 28.3400 ± 15.9672 ml/100 ml, respectively (p = 0.0250). Average AF for the benign and malignant nodules were 74.4571 ± 89.0321 and 89.200 ± 49.8883 ml/100g/min, respectively (p = 0.1613). CONCLUSIONS Dynamic 18F-FDG PET/CT and perfusion CT derived blood volume had similar capability to differentiate benign from malignant lung nodules.
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Jimenez-Juan L, Mehrez H, Dey C, Homampour S, Salazar-Ferrer P, Granton JT, Lee TY, Paul N. Quantitative assessment of pulmonary artery occlusion using lung dynamic perfusion CT. Sci Rep 2021; 11:483. [PMID: 33436837 PMCID: PMC7804280 DOI: 10.1038/s41598-020-80177-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 12/14/2020] [Indexed: 11/09/2022] Open
Abstract
Quantitative measurement of lung perfusion is a promising tool to evaluate lung pathophysiology as well as to assess disease severity and monitor treatment. However, this novel technique has not been adopted clinically due to various technical and physiological challenges; and it is still in the early developmental phase where the correlation between lung pathophysiology and perfusion maps is being explored. The purpose of this research work is to quantify the impact of pulmonary artery occlusion on lung perfusion indices using lung dynamic perfusion CT (DPCT). We performed Lung DPCT in ten anesthetized, mechanically ventilated juvenile pigs (18.6–20.2 kg) with a range of reversible pulmonary artery occlusions (0%, 40–59%, 60–79%, 80–99%, and 100%) created with a balloon catheter. For each arterial occlusion, DPCT data was analyzed using first-pass kinetics to derive blood flow (BF), blood volume (BV) and mean transit time (MTT) perfusion maps. Two radiologists qualitatively assessed perfusion maps for the presence or absence of perfusion defects. Perfusion maps were also analyzed quantitatively using a linear segmented mixed model to determine the thresholds of arterial occlusion associated with perfusion derangement. Inter-observer agreement was assessed using Kappa statistics. Correlation between arterial occlusion and perfusion indices was evaluated using the Spearman-rank correlation coefficient. Our results determined that perfusion defects were detected qualitatively in BF, BV and MTT perfusion maps for occlusions larger than 55%, 80% and 55% respectively. Inter-observer agreement was very good with Kappa scores > 0.92. Quantitative analysis of the perfusion maps determined the arterial occlusion threshold for perfusion defects was 50%, 76% and 44% for BF, BV and MTT respectively. Spearman-rank correlation coefficients between arterial occlusion and normalized perfusion values were strong (− 0.92, − 0.72, and 0.78 for BF, BV and MTT, respectively) and were statically significant (p < 0.01). These findings demonstrate that lung DPCT enables quantification and stratification of pulmonary artery occlusion into three categories: mild, moderate and severe. Severe (occlusion ≥ 80%) alters all perfusion indices; mild (occlusion < 55%) has no detectable effect. Moderate (occlusion 55–80%) impacts BF and MTT but BV is preserved.
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Affiliation(s)
- Laura Jimenez-Juan
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.,Department of Medical Imaging, Sunnybrook Health Science Centre, Toronto, ON, Canada
| | - Hatem Mehrez
- Canon Medical Systems Canada, Markham, ON, Canada
| | - Chris Dey
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.,Department of Medical Imaging, Sunnybrook Health Science Centre, Toronto, ON, Canada
| | - Shabnam Homampour
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.,Joint Department of Medical Imaging, Toronto General Hospital, Toronto, ON, Canada
| | | | - John T Granton
- Division of Respirology, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Ting-Yim Lee
- Imaging Division, Lawson Health Research Institute, Imaging Research Laboratories, Research Institute, London, ON, Canada
| | - Narinder Paul
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada. .,Joint Department of Medical Imaging, Toronto General Hospital, Toronto, ON, Canada. .,Department of Medical Imaging, London Health Sciences Centre, St Joseph's Hospital, Western University, London, ON, Canada.
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7
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Rotzinger DC, Knebel JF, Jouannic AM, Adler G, Qanadli SD. CT Pulmonary Angiography for Risk Stratification of Patients with Nonmassive Acute Pulmonary Embolism. Radiol Cardiothorac Imaging 2020; 2:e190188. [PMID: 33778598 DOI: 10.1148/ryct.2020190188] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 02/24/2020] [Accepted: 04/21/2020] [Indexed: 01/21/2023]
Abstract
Purpose To investigate the prognostic value of an integrative approach combining clinical variables and the Qanadli CT obstruction index (CTOI) in patients with nonmassive acute pulmonary embolism (PE). Materials and Methods This retrospective study included 705 consecutive patients (mean age, 63 years; range, 18-95 years) with proven PE. Clot burden was quantified using the CTOI, which reflects the ratio of fully or partially obstructed pulmonary arteries to normal arteries. Patients were subdivided into two groups according to the presence (group A) or absence (group B) of preexisting cardiopulmonary disease. Thirty-day and 3-month mortality was evaluated. CTOI thresholds of 20% and 40% were used to stratify patients regarding outcome (low, intermediate, and high risk). The predictive value of CTOI was assessed through logistic regression analysis. Results Analysis included 690 patients (mean age, 63.3 years ± 18 [standard deviation]) with complete follow-up data: 247 (36%) in group A and 443 (64%) in group B. The mean CTOI was 23% ± 19, 30-day mortality was 9.7%, and 3-month mortality was 11.6%. Three-month mortality was higher in group A than in group B (17.8% and 8.1%, respectively; P = .001). Within group B, CTOI predicted outcome and allowed stratification: significantly higher mortality with CTOI greater than 40% (P < .001) and lower mortality with CTOI less than 20% (P = .05). CTOI did not predict outcome in group A. Age was an independent mortality risk factor (P ≤ .04). Conclusion CTOI predicted outcome in this cohort of patients with PE and no cardiopulmonary disease, and it may provide a simple single-examination-based approach for risk stratification in this subset of patients.© RSNA, 2020See also the commentary by Kay and Abbara in this issue.
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Affiliation(s)
- David C Rotzinger
- Cardiothoracic and Vascular Division, Department of Diagnostic and Interventional Radiology (D.C.R., A.M.J., S.D.Q.) and EEG Brain Mapping Core, Centre for Biomedical Imaging (CIBM) and Laboratory for Investigative Neurophysiology (The LINE), Department of Radiology (J.F.K.), Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland; Faculty of Biology and Medicine (FBM), University of Lausanne (UNIL), Lausanne, Switzerland (D.C.R., J.F.K., S.D.Q.); and Imagerive Diagnostic Radiology Institute, Geneva, Switzerland (G.A.)
| | - Jean-François Knebel
- Cardiothoracic and Vascular Division, Department of Diagnostic and Interventional Radiology (D.C.R., A.M.J., S.D.Q.) and EEG Brain Mapping Core, Centre for Biomedical Imaging (CIBM) and Laboratory for Investigative Neurophysiology (The LINE), Department of Radiology (J.F.K.), Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland; Faculty of Biology and Medicine (FBM), University of Lausanne (UNIL), Lausanne, Switzerland (D.C.R., J.F.K., S.D.Q.); and Imagerive Diagnostic Radiology Institute, Geneva, Switzerland (G.A.)
| | - Anne-Marie Jouannic
- Cardiothoracic and Vascular Division, Department of Diagnostic and Interventional Radiology (D.C.R., A.M.J., S.D.Q.) and EEG Brain Mapping Core, Centre for Biomedical Imaging (CIBM) and Laboratory for Investigative Neurophysiology (The LINE), Department of Radiology (J.F.K.), Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland; Faculty of Biology and Medicine (FBM), University of Lausanne (UNIL), Lausanne, Switzerland (D.C.R., J.F.K., S.D.Q.); and Imagerive Diagnostic Radiology Institute, Geneva, Switzerland (G.A.)
| | - Ghazal Adler
- Cardiothoracic and Vascular Division, Department of Diagnostic and Interventional Radiology (D.C.R., A.M.J., S.D.Q.) and EEG Brain Mapping Core, Centre for Biomedical Imaging (CIBM) and Laboratory for Investigative Neurophysiology (The LINE), Department of Radiology (J.F.K.), Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland; Faculty of Biology and Medicine (FBM), University of Lausanne (UNIL), Lausanne, Switzerland (D.C.R., J.F.K., S.D.Q.); and Imagerive Diagnostic Radiology Institute, Geneva, Switzerland (G.A.)
| | - Salah D Qanadli
- Cardiothoracic and Vascular Division, Department of Diagnostic and Interventional Radiology (D.C.R., A.M.J., S.D.Q.) and EEG Brain Mapping Core, Centre for Biomedical Imaging (CIBM) and Laboratory for Investigative Neurophysiology (The LINE), Department of Radiology (J.F.K.), Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland; Faculty of Biology and Medicine (FBM), University of Lausanne (UNIL), Lausanne, Switzerland (D.C.R., J.F.K., S.D.Q.); and Imagerive Diagnostic Radiology Institute, Geneva, Switzerland (G.A.)
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8
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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.
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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
| |
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