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Konietzke P, Weinheimer O, Triphan SMF, Nauck S, Wuennemann F, Konietzke M, Jobst BJ, Jörres RA, Vogelmeier CF, Heussel CP, Kauczor HU, Wielpütz MO, Biederer J. GOLD grade-specific characterization of COPD in the COSYCONET multi-center trial: comparison of semiquantitative MRI and quantitative CT. Eur Radiol 2025:10.1007/s00330-024-11269-3. [PMID: 39779513 DOI: 10.1007/s00330-024-11269-3] [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: 07/20/2024] [Revised: 10/06/2024] [Accepted: 11/11/2024] [Indexed: 01/11/2025]
Abstract
OBJECTIVES We hypothesized that semiquantitative visual scoring of lung MRI is suitable for GOLD-grade specific characterization of parenchymal and airway disease in COPD and that MRI scores correlate with quantitative CT (QCT) and pulmonary function test (PFT) parameters. METHODS Five hundred ninety-eight subjects from the COSYCONET study (median age = 67 (60-72)) at risk for COPD or with GOLD1-4 underwent PFT, same-day paired inspiratory/expiratory CT, and structural and contrast-enhanced MRI. QCT assessed total lung volume (TLV), emphysema, and air trapping by parametric response mapping (PRMEmph, PRMfSAD) and airway disease by wall percentage (WP). MRI was analyzed using a semiquantitative visual scoring system for parenchymal defects, perfusion defects, and airway abnormalities. Descriptive statistics, Spearman correlations, and ANOVA analyses were performed. RESULTS TLV, PRMEmph, and MRI scores for parenchymal and perfusion defects were all higher with each GOLD grade, reflecting the extension of emphysema (all p < 0.001). Airway analysis showed the same trends with higher WP and higher MRI large airway disease scores in GOLD3 and lower WP and MRI scores in GOLD4 (p = 0.236 and p < 0.001). Regional heterogeneity was less evident on MRI, while PRMEmph and MRI perfusion defect scores were higher in the upper lobes, and WP and MRI large airway disease scores were higher in the lower lobes. MRI parenchymal and perfusion scores correlated moderately with PRMEmph (r = 0.61 and r = 0.60) and moderately with FEV1/FVC (r = -0.56). CONCLUSION Multi-center semiquantitative MRI assessments of parenchymal and airway disease in COPD matched GOLD grade-specific imaging features on QCT and detected regional disease heterogeneity. MRI parenchymal disease scores were correlated with QCT and lung function parameters. KEY POINTS Question Do MRI-based scores correlate with QCT and PFT parameters for GOLD-grade specific disease characterization of COPD? Findings MRI can visualize the parenchymal and airway disease features of COPD. Clinical relevance Lung MRI is suitable for GOLD-grade specific disease characterization of COPD and may serve as a radiation-free imaging modality in scientific and clinical settings, given careful consideration of its potential and limitations.
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Affiliation(s)
- Philip Konietzke
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany.
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany.
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany.
| | - Oliver Weinheimer
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Simon M F Triphan
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Sebastian Nauck
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Felix Wuennemann
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Marilisa Konietzke
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
| | - Bertram J Jobst
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Rudolf A Jörres
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Ludwig-Maximilians-University, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Munich, Germany
| | - Claus F Vogelmeier
- Department of Medicine, Pulmonary and Critical Care Medicine, University Medical Center Giessen and Marburg, German Center for Lung Research (DZL), Marburg, Germany
| | - Claus P Heussel
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Hans-Ulrich Kauczor
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Mark O Wielpütz
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
- Diagnostic Radiology and Neuroradiology, Greifswald University Hospital, Ferdinand-Sauerbruch-Strasse 1, Greifswald, Germany
| | - Jürgen Biederer
- Department of Diagnostic and Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
- Faculty of Medicine, University of Latvia, Riga, Latvia
- Faculty of Medicine, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
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Borgheresi A, Cesari E, Agostini A, Badaloni M, Balducci S, Tola E, Consoli V, Palucci A, Burroni L, Carotti M, Giovagnoni A. Pulmonary emphysema: the assessment of lung perfusion with Dual-Energy CT and pulmonary scintigraphy. LA RADIOLOGIA MEDICA 2024; 129:1622-1632. [PMID: 39256299 PMCID: PMC11554815 DOI: 10.1007/s11547-024-01883-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 08/20/2024] [Indexed: 09/12/2024]
Abstract
AIM To assess the correlation of quantitative data of pulmonary Perfused Blood Volume (PBV) on Dual-Energy CT (DECT) datasets in patients with moderate - severe Pulmonary Emphysema (PE) with Lung Perfusion Scintigraphy (LPS) as the reference standard. The secondary endpoints are the correlation between the CT densitometric analysis and the visual assessment of parenchymal destruction with PBV. MATERIALS AND METHODS Patients with moderate - severe PE candidate to Lung Volumetric Reduction (LVR), with available a pre-procedural LS and a contrast-enhanced DECT were retrospectively included. DECT studies were performed with a 3rd generation Dual-Source CT and the PBV was obtained with a 3-material decomposition algorithm. The CT densitometric analysis was performed with a dedicated commercial software (Pulmo3D). The Goddard Score was used for visual assessment. The perfusion LS were performed after the administration of albumin macroaggregates labeled with 99mTechnetium. The image revision was performed by two radiologists or nuclear medicine physicians blinded, respectively, to LS and DECT data. The statistical analysis was performed with nonparametric tests. RESULTS Thirty-one patients (18 males, median age 69 y.o., interquartile range 62-71 y.o.) with moderate - severe PE (Median Goddard Score 14/20 and 31% of emphysematous parenchyma at quantitative CT) candidate to LVR were retrospectively included. The median enhancement on PBV was 17 HU. Significant correlation coefficients were demonstrated between lung PBV and LS, poor in apical regions (Rho = 0.1-0.2) and fair (Rho = 0.3-0.5) in middle and lower regions. No significant correlations were recorded between the CT densitometric analysis, the visual score, and the PBV. CONCLUSIONS Lung perfusion with PBV on DECT is feasible in patients with moderate - severe PE candidate to LVR, and has a poor to fair agreement with LPS.
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Affiliation(s)
- Alessandra Borgheresi
- Department of Clinical, Special and Dental Sciences, University Politecnica Delle Marche, Via Tronto 10/A, 60126, Ancona, AN, Italy
- Department of Radiological Sciences, Division of Clinical Radiology, University Hospital "Azienda Ospedaliero Universitaria Delle Marche", Via Conca 71, 60126, Ancona, AN, Italy
| | - Elisa Cesari
- School of Radiology, University Politecnica Delle Marche, Via Tronto 10/A, 60126, Ancona, AN, Italy
| | - Andrea Agostini
- Department of Clinical, Special and Dental Sciences, University Politecnica Delle Marche, Via Tronto 10/A, 60126, Ancona, AN, Italy.
- Department of Radiological Sciences, Division of Clinical Radiology, University Hospital "Azienda Ospedaliero Universitaria Delle Marche", Via Conca 71, 60126, Ancona, AN, Italy.
| | - Myriam Badaloni
- Department of Radiological Sciences, Division of Clinical Radiology, University Hospital "Azienda Ospedaliero Universitaria Delle Marche", Via Conca 71, 60126, Ancona, AN, Italy
| | - Sofia Balducci
- School of Radiology, University Politecnica Delle Marche, Via Tronto 10/A, 60126, Ancona, AN, Italy
| | - Elisabetta Tola
- School of Radiology, University Politecnica Delle Marche, Via Tronto 10/A, 60126, Ancona, AN, Italy
| | - Valeria Consoli
- Department of Clinical, Special and Dental Sciences, University Politecnica Delle Marche, Via Tronto 10/A, 60126, Ancona, AN, Italy
- Department of Radiological Sciences, Division of Clinical Radiology, University Hospital "Azienda Ospedaliero Universitaria Delle Marche", Via Conca 71, 60126, Ancona, AN, Italy
| | - Andrea Palucci
- Department of Radiological Sciences. Division of Nuclear Medicine, University Hospital "Azienda Ospedaliero Universitaria Delle Marche", Via Conca 71, 60126, Ancona, AN, Italy
| | - Luca Burroni
- Department of Radiological Sciences. Division of Nuclear Medicine, University Hospital "Azienda Ospedaliero Universitaria Delle Marche", Via Conca 71, 60126, Ancona, AN, Italy
| | - Marina Carotti
- Department of Clinical, Special and Dental Sciences, University Politecnica Delle Marche, Via Tronto 10/A, 60126, Ancona, AN, Italy
- Department of Radiological Sciences, Division of Clinical Radiology, University Hospital "Azienda Ospedaliero Universitaria Delle Marche", Via Conca 71, 60126, Ancona, AN, Italy
| | - Andrea Giovagnoni
- Department of Clinical, Special and Dental Sciences, University Politecnica Delle Marche, Via Tronto 10/A, 60126, Ancona, AN, Italy
- Department of Radiological Sciences, Division of Clinical Radiology, University Hospital "Azienda Ospedaliero Universitaria Delle Marche", Via Conca 71, 60126, Ancona, AN, Italy
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Simargi Y, Turana Y, Icksan AG, Harahap AR, Siste K, Mansyur M, Damayanti T, Maryastuti M, Fazharyasti V, Dewi IP, Ramli Y, Prasetyo M, Rumende CM. A Multicenter Study of COPD and Cognitive Impairment: Unraveling the Interplay of Quantitative CT, Lung Function, HIF-1α, and Clinical Variables. Int J Chron Obstruct Pulmon Dis 2024; 19:1741-1753. [PMID: 39099608 PMCID: PMC11296506 DOI: 10.2147/copd.s466173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 07/20/2024] [Indexed: 08/06/2024] Open
Abstract
Purpose The exact link between cognitive impairment (CI) and chronic obstructive pulmonary disease (COPD) is still limited. Thus, we aim to find the relationship and interaction of quantitative CT (QCT), lung function, HIF-1α, and clinical factors with the development of CI among COPD patients. Patients and Methods A cross-sectional multicentre study was conducted from January 2022 to December 2023. We collected clinical data, spirometry, CT images, and venous blood samples from 114 COPD participants. Cognitive impairment assessment using the Montreal Cognitive Assessment Indonesian version (MoCA-Ina) with a cutoff value 26. The QCT analysis consists of lung density, airway wall thickness, pulmonary artery-to-aorta ratio (PA:A), and pectoralis muscles using 3D Slicer software. Serum HIF-1α analysis was performed using ELISA. Results We found significant differences between %LAA-950, age, COPD duration, BMI, FEV1 pp, and FEV1/FVC among GOLD grades I-IV. Only education duration was found to correlate with CI (r = 0.40; p < 0.001). We found no significant difference in HIF-1α among GOLD grades (p = 0.149) and no correlation between HIF-1α and CI (p = 0.105). From multiple linear regression, we observed that the MoCA-Ina score was influenced mainly by %LAA-950 (p = 0.02) and education duration (p = 0.01). The path analysis model showed both %LAA and education duration directly and indirectly through FEV1 pp contributing to CI. Conclusion We conclude that the utilization of QCT parameters is beneficial as it can identify abnormalities and contribute to the development of CI, indicating its potential utility in clinical decision-making. The MoCA-Ina score in COPD is mainly affected by %LAA-950 and education duration. Contrary to expectations, this study concludes that HIF-1α does not affect CI among COPD patients.
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Affiliation(s)
- Yopi Simargi
- Doctoral Program in Medical Science, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia
- Department of Radiology, School of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
- Department of Radiology, Atma Jaya Hospital, Jakarta, Indonesia
| | - Yuda Turana
- Department of Neurology, School of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
| | | | - Alida Roswita Harahap
- Doctoral Program in Medical Science, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia
| | - Kristiana Siste
- Department of Psychiatry, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia
- Department of Psychiatry, Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia
| | - Muchtaruddin Mansyur
- Department of Community, Occupational and Family Medicine, Faculty of Medicine, University of Indonesia, Depok, Indonesia
| | - Triya Damayanti
- Department of Pulmonology and Respiratory Medicine, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia
- Department of Pulmonology and Respiratory Medicine, National Respiratory Center Persahabatan Hospital, Jakarta, Indonesia
| | - Maryastuti Maryastuti
- Department of Radiology, National Respiratory Center Persahabatan Hospital, Jakarta, Indonesia
| | | | - Indah Puspita Dewi
- Department of Radiology, Faculty of Medicine and Health, University of Muhammadiyah Jakarta, Jakarta, Indonesia
- Department of Radiology, Jakarta Islamic Hospital Cempaka Putih, Jakarta, Indonesia
| | - Yetty Ramli
- Department of Neurology, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia
- Department Neurology, Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia
| | - Marcel Prasetyo
- Department of Radiology, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia
- Department of Radiology, Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia
| | - Cleopas Martin Rumende
- Department of Internal Medicine, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia
- Department of Internal Medicine, Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia
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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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5
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Astley JR, Biancardi AM, Marshall H, Hughes PJC, Collier GJ, Smith LJ, Eaden JA, Hughes R, Wild JM, Tahir BA. A Dual-Channel Deep Learning Approach for Lung Cavity Estimation From Hyperpolarized Gas and Proton MRI. J Magn Reson Imaging 2023; 57:1878-1890. [PMID: 36373828 PMCID: PMC10947587 DOI: 10.1002/jmri.28519] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 10/24/2022] [Accepted: 10/24/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Hyperpolarized gas MRI can quantify regional lung ventilation via biomarkers, including the ventilation defect percentage (VDP). VDP is computed from segmentations derived from spatially co-registered functional hyperpolarized gas and structural proton (1 H)-MRI. Although acquired at similar lung inflation levels, they are frequently misaligned, requiring a lung cavity estimation (LCE). Recently, single-channel, mono-modal deep learning (DL)-based methods have shown promise for pulmonary image segmentation problems. Multichannel, multimodal approaches may outperform single-channel alternatives. PURPOSE We hypothesized that a DL-based dual-channel approach, leveraging both 1 H-MRI and Xenon-129-MRI (129 Xe-MRI), can generate LCEs more accurately than single-channel alternatives. STUDY TYPE Retrospective. POPULATION A total of 480 corresponding 1 H-MRI and 129 Xe-MRI scans from 26 healthy participants (median age [range]: 11 [8-71]; 50% females) and 289 patients with pulmonary pathologies (median age [range]: 47 [6-83]; 51% females) were split into training (422 scans [88%]; 257 participants [82%]) and testing (58 scans [12%]; 58 participants [18%]) sets. FIELD STRENGTH/SEQUENCE 1.5-T, three-dimensional (3D) spoiled gradient-recalled 1 H-MRI and 3D steady-state free-precession 129 Xe-MRI. ASSESSMENT We developed a multimodal DL approach, integrating 129 Xe-MRI and 1 H-MRI, in a dual-channel convolutional neural network. We compared this approach to single-channel alternatives using manually edited LCEs as a benchmark. We further assessed a fully automatic DL-based framework to calculate VDPs and compared it to manually generated VDPs. STATISTICAL TESTS Friedman tests with post hoc Bonferroni correction for multiple comparisons compared single-channel and dual-channel DL approaches using Dice similarity coefficient (DSC), average boundary Hausdorff distance (average HD), and relative error (XOR) metrics. Bland-Altman analysis and paired t-tests compared manual and DL-generated VDPs. A P value < 0.05 was considered statistically significant. RESULTS The dual-channel approach significantly outperformed single-channel approaches, achieving a median (range) DSC, average HD, and XOR of 0.967 (0.867-0.978), 1.68 mm (37.0-0.778), and 0.066 (0.246-0.045), respectively. DL-generated VDPs were statistically indistinguishable from manually generated VDPs (P = 0.710). DATA CONCLUSION Our dual-channel approach generated LCEs, which could be integrated with ventilated lung segmentations to produce biomarkers such as the VDP without manual intervention. EVIDENCE LEVEL 4. TECHNICAL EFFICACY Stage 1.
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Affiliation(s)
- Joshua R. Astley
- POLARIS, Department of Infection, Immunity & Cardiovascular DiseaseThe University of SheffieldSheffieldUK
- Department of Oncology and MetabolismThe University of SheffieldSheffieldUK
| | - Alberto M. Biancardi
- POLARIS, Department of Infection, Immunity & Cardiovascular DiseaseThe University of SheffieldSheffieldUK
| | - Helen Marshall
- POLARIS, Department of Infection, Immunity & Cardiovascular DiseaseThe University of SheffieldSheffieldUK
| | - Paul J. C. Hughes
- POLARIS, Department of Infection, Immunity & Cardiovascular DiseaseThe University of SheffieldSheffieldUK
| | - Guilhem J. Collier
- POLARIS, Department of Infection, Immunity & Cardiovascular DiseaseThe University of SheffieldSheffieldUK
| | - Laurie J. Smith
- POLARIS, Department of Infection, Immunity & Cardiovascular DiseaseThe University of SheffieldSheffieldUK
| | - James A. Eaden
- POLARIS, Department of Infection, Immunity & Cardiovascular DiseaseThe University of SheffieldSheffieldUK
| | - Rod Hughes
- Early Development RespiratoryAstraZenecaCambridgeUK
| | - Jim M. Wild
- POLARIS, Department of Infection, Immunity & Cardiovascular DiseaseThe University of SheffieldSheffieldUK
- Insigneo Institute for in silico medicine, The University of SheffieldSheffieldUK
| | - Bilal A. Tahir
- POLARIS, Department of Infection, Immunity & Cardiovascular DiseaseThe University of SheffieldSheffieldUK
- Department of Oncology and MetabolismThe University of SheffieldSheffieldUK
- Insigneo Institute for in silico medicine, The University of SheffieldSheffieldUK
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Dual-energy computed tomography as a lower radiation dose alternative to perfusion computed tomography in tumor viability assessment. Sci Rep 2023; 13:120. [PMID: 36599882 DOI: 10.1038/s41598-022-27221-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Accepted: 12/28/2022] [Indexed: 01/06/2023] Open
Abstract
To present the utility of dual-energy computed tomography (DECT) in the assessment of angiogenesis of focal lesions as an example of a solitary pulmonary nodule (SPN). This prospective study comprised 28 patients with SPN who underwent DECT and perfusion computed tomography (CTP), according to a proprietary protocol. Two radiologists independently analyzed four perfusion parameters, namely blood flow (BF), blood volume (BV), the time to maximum of the tissue residue function (Tmax), permeability surface area product (PS) from CTP, in addition to the iodine concentration (IC) and normalized iodine concentration (NIC) of the SPN from DECT. We used the Pearson R correlation and interclass correlation coefficients (ICCs). Statistical significance was assumed at p < 0.05. The mean tumor size was 23.5 ± 6.5 mm. We observed good correlations between IC and BF (r = 0.78, p < 0.000) and NIC and BF (r = 0.71, p < 0.000) as well as between IC and BV (r = 0.73, p < 0.000) and NIC and BV (r = 0.73, p < 0.000) and poor correlation between IC and PS (r = 0.38, p = 0.044).There was no correlation between NIC and PS (r = 0.35, p = 0.064), IC content and Tmax (r = - 0.28, p = 0.147) and NIC and Tmax (r = - 0.21, p = 0.266). Inter-reader agreement on quantitative parameters at CTP (ICCPS = 0.97, ICCTmax = 0.96, ICCBV = 0.98, and ICCBF = 0.99) and DECT (ICCIC = 0.98) were excellent. The radiation dose was significantly lower in DECT than that in CTP (4.84 mSv vs. 9.07 mSv, respectively). DECT is useful for the functional assessment of oncological lesions with less exposure to radiation compared to perfusion computed tomography.
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7
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Leppig JA, Song L, Voigt DC, Feldhaus FW, Ruwwe-Gloesenkamp C, Saccomanno J, Lassen-Schmidt BC, Neumann K, Leitner K, Hubner RH, Doellinger F. When Treatment of Pulmonary Emphysema with Endobronchial Valves Did Not Work: Evaluation of Quantitative CT Analysis and Pulmonary Function Tests Before and After Valve Explantation. Int J Chron Obstruct Pulmon Dis 2022; 17:2553-2566. [PMID: 36304970 PMCID: PMC9596192 DOI: 10.2147/copd.s367667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 09/17/2022] [Indexed: 11/05/2022] Open
Abstract
Purpose To investigate changes in quantitative CT analysis (QCT) and pulmonary function tests (PFT) in pulmonary emphysema patients who required premature removal of endobronchial valves (EBV). Patients and Methods Our hospital’s medical records listed 274 patients with high-grade COPD (GOLD stages 3 and 4) and pulmonary emphysema who were treated with EBV to reduce lung volume. Prior to intervention, a complete evaluation was performed that included quantitative computed tomography analysis (QCT) of scans acquired at full inspiration and full expiration, pulmonary function tests (PFT), and paraclinical findings (6-minute walking distance test (6MWDT) and quality of life questionnaires). In 41 of these 274 patients, EBV treatment was unsuccessful and the valves had to be removed for various reasons. A total of 10 of these 41 patients ventured a second attempt at EBV therapy and underwent complete reevaluation. In our retrospective study, results from three time points were compared: Before EBV implantation (BL), after EBV implantation (TP2), and after EBV explantation (TP3). QCT parameters included lung volume, total emphysema score (TES, ie, the emphysema index) and the 15th percentile of lung attenuation (P15) for the whole lung and each lobe separately. Differences in these parameters between inspiration and expiration were calculated (Vol. Diff (%), TES Diff (%), P15 Diff (%)). The results of PFT and further clinical tests were taken from the patient’s records. Results We found persistent therapy effect in the target lobe even after valve explantation together with a compensatory hyperinflation of the rest of the lung. As a result of these two divergent effects, the volume of the total lung remained rather constant. Furthermore, there was a slight deterioration of the emphysema score for the whole lung, whereas the TES of the target lobe persistently improved. Conclusion Interestingly, we found evidence that, contrary to our expectations, unsuccessful EBV therapy can have a persistent positive effect on target lobe QCT scores.
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Affiliation(s)
- Jonas Alexander Leppig
- Department of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany,Correspondence: Jonas Alexander Leppig, Department of Radiology, Charité Universitätsmedizin Berlin, Charité Campus Virchow-Klinikum, Augustenburger Platz 1, Berlin, 13353, Germany, Tel + 49 30 450 627 283, Fax + 49 30 450 527 911, Email
| | - Lan Song
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Dorothea C Voigt
- Department of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Felix W Feldhaus
- Department of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Christoph Ruwwe-Gloesenkamp
- Department of Internal Medicine/Infectious Diseases and Respiratory Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Jacopo Saccomanno
- Department of Internal Medicine/Infectious Diseases and Respiratory Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany
| | | | - Konrad Neumann
- Institute of Biometrics and Clinical Epidemiology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Katja Leitner
- Department of Internal Medicine, Kantonsspital Aarau AG, Aarau, Switzerland
| | - Ralf H Hubner
- Department of Internal Medicine/Infectious Diseases and Respiratory Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Felix Doellinger
- Department of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany
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8
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Döllinger F, Elsner A, Hübner RH. [Computed tomographic imaging in chronic obstructive pulmonary disease : What pulmonologists and thoracic surgeons want to know]. RADIOLOGIE (HEIDELBERG, GERMANY) 2022; 62:747-757. [PMID: 35819467 DOI: 10.1007/s00117-022-01042-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/21/2022] [Indexed: 06/15/2023]
Abstract
Chronic obstructive pulmonary disease (COPD) begins with chronic inflammation of the bronchial system and leads to the development of emphysema in many patients. COPD patients are characterized by reduced performance, dyspnea in the context of an obstructive respiratory disorder and increased susceptibility to infections. COPD has a major impact on public health, as it is very common and many patients die from it. The most important preventable cause of COPD is tobacco smoke inhalation, which is why consistent smoking cessation is the most important component of any COPD treatment. There is no causal therapy, but in severely symptomatic patients with advanced emphysema, respiratory mechanics can be improved by lung volume reduction if all conservative treatment options have been exhausted. Diagnostic imaging is of great importance in the care of COPD patients. This article summarizes which indications warrant the performance of computed tomography (CT) and what we should pay special attention to during image analysis in order to provide optimal advice to our clinical partners.
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Affiliation(s)
- Felix Döllinger
- Klinik für Radiologie, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Deutschland.
| | - Aron Elsner
- Chirurgische Klinik, Charité Universitätsmedizin Berlin, Berlin, Deutschland
| | - Ralf-Harto Hübner
- Medizinische Klinik m. S. Infektiologie und Pneumologie, Charité Universitätsmedizin Berlin, Berlin, Deutschland
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9
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Derenoncourt PR, Felder GJ, Royal HD, Bhalla S, Lang JA, Matesan MC, Itani M. Ventilation-Perfusion Scan: A Primer for Practicing Radiologists. Radiographics 2021; 41:2047-2070. [PMID: 34678101 DOI: 10.1148/rg.2021210060] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Lung scintigraphy, or ventilation-perfusion (V/Q) scan, is one of the commonly performed studies in nuclear medicine. Owing to variability in clinical applications and different departmental workflows, many trainees are not comfortable interpreting the results of this study. This article provides a simplified overview of V/Q imaging, including a review of its technique, interpretation methods, and established and emerging clinical applications. The authors review the role of V/Q imaging in evaluation of acute and chronic pulmonary embolism, including the role of SPECT/CT and comparing V/Q scan with CT angiography. In addition, a variety of other applications of pulmonary scintigraphy are discussed, including congenital heart disease, pretreatment planning for lung cancer and emphysema, posttransplant imaging for bronchiolitis obliterans, and less common vascular and nonvascular pathologic conditions that may be detected with V/Q scan. This article will help radiologists and residents interpret the results of V/Q scans and understand the various potential clinical applications of this study. Online supplemental material is available for this article. ©RSNA, 2021.
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Affiliation(s)
- Paul-Robert Derenoncourt
- From the Mallinckrodt Institute of Radiology, Washington University in St Louis, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110 (P.R.D., H.D.R., S.B., J.A.L., M.I.); Department of Radiology, NYU Winthrop Hospital, Mineola, NY (G.J.F.); and Department of Radiology, University of Washington Medical Center, Seattle, Wash (M.C.M.)
| | - Gabriel J Felder
- From the Mallinckrodt Institute of Radiology, Washington University in St Louis, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110 (P.R.D., H.D.R., S.B., J.A.L., M.I.); Department of Radiology, NYU Winthrop Hospital, Mineola, NY (G.J.F.); and Department of Radiology, University of Washington Medical Center, Seattle, Wash (M.C.M.)
| | - Henry D Royal
- From the Mallinckrodt Institute of Radiology, Washington University in St Louis, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110 (P.R.D., H.D.R., S.B., J.A.L., M.I.); Department of Radiology, NYU Winthrop Hospital, Mineola, NY (G.J.F.); and Department of Radiology, University of Washington Medical Center, Seattle, Wash (M.C.M.)
| | - Sanjeev Bhalla
- From the Mallinckrodt Institute of Radiology, Washington University in St Louis, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110 (P.R.D., H.D.R., S.B., J.A.L., M.I.); Department of Radiology, NYU Winthrop Hospital, Mineola, NY (G.J.F.); and Department of Radiology, University of Washington Medical Center, Seattle, Wash (M.C.M.)
| | - Jordan A Lang
- From the Mallinckrodt Institute of Radiology, Washington University in St Louis, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110 (P.R.D., H.D.R., S.B., J.A.L., M.I.); Department of Radiology, NYU Winthrop Hospital, Mineola, NY (G.J.F.); and Department of Radiology, University of Washington Medical Center, Seattle, Wash (M.C.M.)
| | - Manuela C Matesan
- From the Mallinckrodt Institute of Radiology, Washington University in St Louis, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110 (P.R.D., H.D.R., S.B., J.A.L., M.I.); Department of Radiology, NYU Winthrop Hospital, Mineola, NY (G.J.F.); and Department of Radiology, University of Washington Medical Center, Seattle, Wash (M.C.M.)
| | - Malak Itani
- From the Mallinckrodt Institute of Radiology, Washington University in St Louis, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110 (P.R.D., H.D.R., S.B., J.A.L., M.I.); Department of Radiology, NYU Winthrop Hospital, Mineola, NY (G.J.F.); and Department of Radiology, University of Washington Medical Center, Seattle, Wash (M.C.M.)
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10
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Huang YCT, Wencker M, Driehuys B. Imaging in alpha-1 antitrypsin deficiency: a window into the disease. Ther Adv Chronic Dis 2021; 12_suppl:20406223211024523. [PMID: 34408834 PMCID: PMC8367205 DOI: 10.1177/20406223211024523] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 05/25/2021] [Indexed: 12/21/2022] Open
Abstract
Imaging modalities such as plain chest radiograph and computed tomography (CT) are important tools in the assessment of patients with chronic obstructive pulmonary disease (COPD) of any etiology. These methods facilitate differential diagnoses and the assessment of individual lung pathologies, such as the presence of emphysema, bullae, or fibrosis. However, as emphysema is the core pathological consequence in the lungs of patients with alpha-1 antitrypsin deficiency (AATD), and because AATD is associated with the development of other lung pathologies such as bronchiectasis, there is a greater need for patients with AATD than those with non-AATD-related COPD to undergo more detailed assessment using CT. In the field of AATD, CT provides essential information regarding the presence, distribution, and morphology of emphysema. In addition, it offers the option to quantify the extent of emphysema. These data have implications for treatment decisions such as initiation of alpha-1 antitrypsin (AAT) therapy, or suitability for surgical or endoscopic interventions for reducing lung volume. Furthermore, CT has provided vital insight regarding the natural history of emphysema progression in AATD, and CT densitometry has underpinned research into the efficacy of AAT therapy. Moving forward, hyperpolarized xenon gas (129Xe) lung magnetic resonance imaging (MRI) is emerging as a promising complement to CT by adding comprehensive measures of regional lung function. It also avoids the main disadvantage of CT: the associated radiation. This chapter provides an overview of technological aspects of imaging in AATD, as well as its role in the management of patients and clinical research. In addition, perspectives on the future potential role of lung MRI in AATD are outlined.
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Affiliation(s)
- Yuh-Chin Tony Huang
- Department of Pulmonary, Allergy, and Critical Care Medicine, Duke University School of Medicine, Durham, NC, USA
| | | | - Bastiaan Driehuys
- Department of Radiology, Duke University School of Medicine, Durham, NC, USA
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11
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McCarthy DP, Taylor LJ, DeCamp MM. Analysis of Recent Literature on Lung Volume Reduction Surgery. Thorac Surg Clin 2021; 31:119-128. [PMID: 33926666 DOI: 10.1016/j.thorsurg.2021.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Publication of the National Emphysema Treatment Trial (NETT) in 2003 established lung volume reduction surgery (LVRS) as a viable treatment of select patients with moderate to severe emphysema, and the only intervention since the availability of ambulatory supplemental oxygen to improve survival. Despite these findings, surgical treatment has been underused in part because of concern for high morbidity and mortality. This article reviews recent literature generated since the original NETT publication, focusing on physiologic implications of LVRS, recent data regarding the safety and durability of LVRS, and patient selection and extension of NETT criteria to other patient populations.
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Affiliation(s)
- Daniel P McCarthy
- Division of Cardiothoracic Surgery, Department of Surgery, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI 53792, USA
| | - Lauren J Taylor
- Division of Cardiothoracic Surgery, University of Colorado, Anschutz Medical Campus, 12631 East 17th Avenue, Room 5401, Mail Stop C-291, Aurora, CO 80045, USA
| | - Malcolm M DeCamp
- Division of Cardiothoracic Surgery, Department of Surgery, University of Wisconsin-Madison, 600 Highland Avenue, H4/340, Madison, WI 53792-0001, USA.
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12
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Abstract
Lung emphysema represents a major public health burden and still accounts for five percent of all deaths worldwide. Hence, it is essential to further understand this disease in order to develop effective diagnostic and therapeutic strategies. Lung emphysema is an irreversible enlargement of the airways distal to the terminal bronchi (i.e., the alveoli) due to the destruction of the alveolar walls. The two most important causes of emphysema are (I) smoking and (II) α1-antitrypsin-deficiency. In the former lung emphysema is predominant in the upper lung parts, the latter is characterized by a predominance in the basal areas of the lungs. Since quantification and evaluation of the distribution of lung emphysema is crucial in treatment planning, imaging plays a central role. Imaging modalities in lung emphysema are manifold: computed tomography (CT) imaging is nowadays the gold standard. However, emerging imaging techniques like dynamic or functional magnetic resonance imaging (MRI), scintigraphy and lately also the implementation of radiomics and artificial intelligence are more and more diffused in the evaluation, diagnosis and quantification of lung emphysema. The aim of this review is to shortly present the different subtypes of lung emphysema, to give an overview on prediction and risk assessment in emphysematous disease and to discuss not only the traditional, but also the new imaging techniques for diagnosis, quantification and evaluation of lung emphysema.
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Affiliation(s)
- Katharina Martini
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| | - Thomas Frauenfelder
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
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13
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Bonney A, Wagner CA, Siva S, Callahan J, Le Roux PY, Pascoe DM, Irving L, Hofman MS, Steinfort DP. Correlation of positron emission tomography ventilation-perfusion matching with CT densitometry in severe emphysema. EJNMMI Res 2020; 10:86. [PMID: 32725552 PMCID: PMC7387398 DOI: 10.1186/s13550-020-00672-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Accepted: 07/14/2020] [Indexed: 11/29/2022] Open
Abstract
Background Emphysema severity is frequently measured on CT via densitometry. Correlation with scintigraphic and spirometric functional measures of ventilation or perfusion varies widely, and no prior study has evaluated correlation between densitometry and lobar ventilation/perfusion in patients with severe emphysema. The aim of this study was to evaluate the utility and findings of gallium-68 (68Ga) ventilation/perfusion positron emission tomography-CT (68Ga-VQ/PET-CT) in severe emphysema assessment. Methods Fourteen consecutive patients undergoing evaluation for bronchoscopic lung volume reduction between March 2015 and March 2018 underwent 68Ga-VQ/PET-CT assessment for lobar functional lung mapping, in addition to CT densitometry. Correlations between CT densitometry and 68Ga-VQ/PET-CT parameters for individual lobar lung function were sought. Results CT densitometry assessment of emphysema correlated only weakly (R2 = 0.13) with lobar perfusion and was not correlated with ventilation (R2 = 0.04). Densitometry was moderately (R2 = 0.67) correlated with V/Q units in upper lobes, though poorly reflected physiological function in lower lobes (R2 = 0.19). Emphysema severity, as measured by CT densitometry, was moderately correlated with proportion of normal V/Q units and matched V/Q defects in individual lobes. Conclusions Assessment of lobar pulmonary function by 68Ga-VQ/PET-CT provides physiologic information not evident on CT densitometry such as ventilation and perfusion specifics and matched defects. Further research is needed to see if the discordant findings on 68Ga-VQ/PET-CT provide prognostic information or can be used to modify patient management and improve outcomes.
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Affiliation(s)
- Asha Bonney
- Department of Respiratory Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Carrie-Anne Wagner
- Department of Respiratory Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Shankar Siva
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia.,Department of Radiation Oncology, Sir Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Jason Callahan
- Department of Radiation Oncology, Sir Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Pierre-Yves Le Roux
- Department of Molecular Imaging and Therapeutic Nuclear Medicine, Sir Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Nuclear Medicine Department, University Hospital and EA3878 (GETBO) IFR 148, Brest, France
| | - Diane M Pascoe
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia.,Department of Radiology, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Louis Irving
- Department of Respiratory Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Michael S Hofman
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia.,Department of Radiation Oncology, Sir Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Daniel P Steinfort
- Department of Respiratory Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia. .,Department of Medicine, University of Melbourne, Parkville, Victoria, Australia.
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14
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Predictive Modelling of Lung Function using Emphysematous Density Distribution. Sci Rep 2019; 9:19763. [PMID: 31875053 PMCID: PMC6930211 DOI: 10.1038/s41598-019-56351-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 12/10/2019] [Indexed: 11/08/2022] Open
Abstract
Target lung tissue selection remains a challenging task to perform for treating severe emphysema with lung volume reduction (LVR). In order to target the treatment candidate, the percentage of low attenuation volume (LAV%) representing the proportion of emphysema volume to whole lung volume is measured using computed tomography (CT) images. Although LAV% have shown to have a correlation with lung function in patients with chronic obstructive pulmonary disease (COPD), similar measurements of LAV% in whole lung or lobes may have large variations in lung function due to emphysema heterogeneity. The functional information of regional emphysema destruction is required for supporting the choice of optimal target. The purpose of this study is to develop an emphysema heterogeneity descriptor for the three-dimensional emphysematous bullae according to the size variations of emphysematous density (ED) and their spatial distribution. The second purpose is to derive a predictive model of airflow limitation based on the regional emphysema heterogeneity. Deriving the bullous representation and grouping them into four scales in the upper and lower lobes, a predictive model is computed using the linear model fitting to estimate the severity of lung function. A total of 99 subjects, 87 patients with mild to very severe COPD (Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage I~IV) and 12 control participants with normal lung functions (forced expiratory volume in one second (FEV1)/forced vital capacity (FVC) > 0.7) were evaluated. The final model was trained with stratified cross-validation on randomly selected 75% of the dataset (n = 76) and tested on the remaining dataset (n = 23). The dispersed cases of LAV% inconsistent with their lung function outcome were evaluated, and the correlation study suggests that comparing to LAV of larger bullae, the widely spread smaller bullae with equivalent LAV has a larger impact on lung function. The testing dataset has the correlation of r = -0.76 (p < 0.01) between the whole lung LAV% and FEV1/FVC, whereas using two ED % of scales and location-dependent variables to predict the emphysema-associated FEV1/FVC, the results shows their correlation of 0.82 (p < 0.001) with clinical FEV1/FVC.
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15
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Tenda ED, Ridge CA, Shen M, Yang GZ, Shah PL. Role of Quantitative Computed Tomographic Scan Analysis in Lung Volume Reduction for Emphysema. Respiration 2019; 98:86-94. [PMID: 31067563 DOI: 10.1159/000498949] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 02/15/2019] [Indexed: 11/19/2022] Open
Abstract
Recent advances in bronchoscopic lung volume reduction (BLVR) offer new therapeutic alternatives for patients with emphysema and hyperinflation. Endobronchial valves and coils are 2 potential BLVR techniques which have been shown to improve pulmonary function and the quality of life in patients with emphysema. Current patient selection for LVR procedures relies on 3 main inclusion criteria: low attenuation area (in %), also known as emphysema score, heterogeneity score, and fissure integrity score. Volumetric analysis in combination with densitometric analysis of the affected lung lobe or segment with quantitative CT to determine emphysema severity play an important role in treatment planning and post-operative assessment. Due to the variations in lung anatomy, manual corrections are often required to ensure successful and accurate lobe segmentation for pathological and post-treatment CT scan analysis. The advanced development and utilisation of quantitative CT do not simply represent regional changes in pulmonary function but aids in analysis for better patient selection with severe emphysema who are most likely to benefit from BLVR.
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Affiliation(s)
- Eric Daniel Tenda
- National Heart and Lung Institute, Imperial College, London, United Kingdom.,Royal Brompton Hospital, Royal Brompton and Harefield NHS Foundation Trust, London, United Kingdom.,The Hamlyn Centre for Robotic Surgery, Imperial College London, London, United Kingdom.,Division of Pulmonology, Department of Internal Medicine, National General Hospital of Dr. Cipto Mangunkusumo, and Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
| | - Carole A Ridge
- Royal Brompton Hospital, Royal Brompton and Harefield NHS Foundation Trust, London, United Kingdom
| | - Mali Shen
- The Hamlyn Centre for Robotic Surgery, Imperial College London, London, United Kingdom
| | - Guang-Zhong Yang
- The Hamlyn Centre for Robotic Surgery, Imperial College London, London, United Kingdom
| | - Pallav L Shah
- National Heart and Lung Institute, Imperial College, London, United Kingdom, .,Royal Brompton Hospital, Royal Brompton and Harefield NHS Foundation Trust, London, United Kingdom,
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16
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Doellinger F, Theilig DC, Feldhaus F, Hubner RH. [Imaging before and after endoscopic lung volume reduction]. Radiologe 2019; 59:369-384. [PMID: 30911778 DOI: 10.1007/s00117-019-0509-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The treatment of symptomatic lung emphysema by lung volume reduction has become established over the last 15 years. While surgical partial lung resection has profited from improved and less invasive surgical techniques, various endoscopic interventional procedures have been developed and are now available for use. All treatment approaches are dependent on individual anatomical variants and a regional distribution of the lung emphysema, which is why no procedure can be designated as the gold standard for all patients. High-resolution computed tomography can be qualitatively evaluated and provides decisive information for treatment, which is why radiologists play a particularly important role in treatment planning and aftercare of an intervention for reduction of the lung volume. This article presents the various endoscopic techniques, names the demands of the treating physician on the advising radiologist and finally describes how a treatment decision is derived from the results obtained.
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Affiliation(s)
- F Doellinger
- Klinik für Radiologie, Charité Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353, Berlin, Deutschland.
| | - D C Theilig
- Klinik für Radiologie, Charité Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353, Berlin, Deutschland
| | - F Feldhaus
- Klinik für Radiologie, Charité Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353, Berlin, Deutschland
| | - R-H Hubner
- Medizinische Klinik m. S. Infektiologie und Pneumologie, Charité Universitätsmedizin Berlin, Berlin, Deutschland
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