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van der Stouwe JG, Rossi VA, Ghidoni C, Würzburger L, Wiech P, Schweiger V, Petrasch G, Moser G, Schmied CM, Vontobel J, Caselli S, Niederseer D. Effect of a Hypertensive Response During Exercise on Growth Rates of Aortic Diameters. Am J Hypertens 2024; 37:604-611. [PMID: 38693860 DOI: 10.1093/ajh/hpae050] [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: 01/15/2024] [Revised: 03/15/2024] [Accepted: 04/21/2024] [Indexed: 05/03/2024] Open
Abstract
BACKGROUND Aortic diameters are related to age, sex, and body size. There is a scarcity of data on the long-term sequelae of a hypertensive response to exercise (HRE) on aortic diameters. In this retrospective cohort study, we aimed to evaluate the relationship between the growth rates of the aorta in individuals with a HRE. METHODS Our analysis included follow-up data of 649 patients recruited between January 2009 and December 2014 with a HRE. Participants with known connective tissue disease or a history of acute aortic syndrome were excluded. Sinus of Valsalva (SoV) and ascending aorta (AscAo) diameters were measured by transthoracic echocardiography using leading edge to leading edge convention at end-diastole. RESULTS At baseline, median age, maximum systolic blood pressure (BP), body mass index (BMI), diameter of the SoV, and AscAo were 62 years, 208 mm Hg, 26.9 kg/m2, 35 mm, and 35 mm respectively. 32% of patients were female and 67% had hypertension. After a median follow-up of 7.1 years, mean yearly growth rates (±SD) of the SoV and AscAo were 0.09 (0.41) mm and 0.13 (0.56) mm, respectively. No significant associations were observed between growth rates of aortic diameters and maximum systolic and diastolic BP or when considering only individuals with a baseline diameter >40 mm. CONCLUSIONS In this large cohort study, maximum systolic and diastolic BP during exercise showed no association with growth rates of aortic diameters. Furthermore, the mean growth rates of aortic diameters in this population were in line with growth rates in a normal population.
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Affiliation(s)
- Jan Gerrit van der Stouwe
- Department of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel, Cardiology, Basel, Switzerland
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland
| | - Valentina A Rossi
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland
| | - Céline Ghidoni
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland
| | - Laura Würzburger
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland
| | - Patrick Wiech
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland
| | - Victor Schweiger
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland
| | - Gloria Petrasch
- Hochgebirgsklinik, Medicine Campus Davos, Davos, Switzerland
| | - Georg Moser
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland
| | - Christian M Schmied
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland
| | - Jan Vontobel
- Hochgebirgsklinik, Medicine Campus Davos, Davos, Switzerland
| | - Stefano Caselli
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland
- Herzgefaesszentrum im Park, Hirslanden Klinik im Park, Zurich, Switzerland
| | - David Niederseer
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland
- Hochgebirgsklinik, Medicine Campus Davos, Davos, Switzerland
- Christine Kühne Center for Allergy Research and Education (CK-CARE), Medicine Campus Davos, Davos, Switzerland
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2
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O'Dowd EL, Tietzova I, Bartlett E, Devaraj A, Biederer J, Brambilla M, Brunelli A, Chorostowska J, Decaluwe H, Deruysscher D, De Wever W, Donoghue M, Fabre A, Gaga M, van Geffen W, Hardavella G, Kauczor HU, Kerpel-Fronius A, van Meerbeeck J, Nagavci B, Nestle U, Novoa N, Prosch H, Prokop M, Putora PM, Rawlinson J, Revel MP, Snoeckx A, Veronesi G, Vliegenthart R, Weckbach S, Blum TG, Baldwin DR. ERS/ESTS/ESTRO/ESR/ESTI/EFOMP statement on management of incidental findings from low dose CT screening for lung cancer. Eur J Cardiothorac Surg 2023; 64:ezad302. [PMID: 37804174 PMCID: PMC10876118 DOI: 10.1093/ejcts/ezad302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 06/06/2023] [Indexed: 10/09/2023] Open
Abstract
BACKGROUND Screening for lung cancer with low radiation dose computed tomography has a strong evidence base, is being introduced in several European countries and is recommended as a new targeted cancer screening programme. The imperative now is to ensure that implementation follows an evidence-based process that will ensure clinical and cost effectiveness. This European Respiratory Society (ERS) task force was formed to provide an expert consensus for the management of incidental findings which can be adapted and followed during implementation. METHODS A multi-European society collaborative group was convened. 23 topics were identified, primarily from an ERS statement on lung cancer screening, and a systematic review of the literature was conducted according to ERS standards. Initial review of abstracts was completed and full text was provided to members of the group for each topic. Sections were edited and the final document approved by all members and the ERS Science Council. RESULTS Nine topics considered most important and frequent were reviewed as standalone topics (interstitial lung abnormalities, emphysema, bronchiectasis, consolidation, coronary calcification, aortic valve disease, mediastinal mass, mediastinal lymph nodes and thyroid abnormalities). Other topics considered of lower importance or infrequent were grouped into generic categories, suitable for general statements. CONCLUSIONS This European collaborative group has produced an incidental findings statement that can be followed during lung cancer screening. It will ensure that an evidence-based approach is used for reporting and managing incidental findings, which will mean that harms are minimised and any programme is as cost-effective as possible.
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Affiliation(s)
- Emma L O'Dowd
- Nottingham University Hospitals NHS Trust, Nottingham, UK
- University of Nottingham, Faculty of Medicine and Health Sciences, Nottingham, UK
| | - Ilona Tietzova
- Charles University, First Faculty of Medicine, Department of Tuberculosis and Respiratory Diseases, Prague, Czech Republic
| | - Emily Bartlett
- Royal Brompton and Harefield NHS Foundation Trust, Radiology, London, UK
| | - Anand Devaraj
- Royal Brompton and Harefield NHS Foundation Trust, Radiology, London, UK
| | - Jürgen Biederer
- University of Heidelberg, Diagnostic and Interventional Radiology, Heidelberg, Germany
- German Center for Lung Research DZL, Translational Lung Research Center TLRC, Heidelberg, Germany
- University of Latvia, Faculty of Medicine, Riga, Latvia
- Christian-Albrechts-Universität zu Kiel, Faculty of Medicine, Kiel, Germany
| | - Marco Brambilla
- Azienda Ospedaliero-Universitaria Maggiore della Carità di Novara, Novara, Italy
| | | | - Joanna Chorostowska
- Institute of Tuberculosis and Lung Diseases, Warsaw, Genetics and Clinical Immunology, Warsaw, Poland
| | | | - Dirk Deruysscher
- Maastricht University Medical Centre, Department of Radiation Oncology (MAASTRO Clinic), GROW-School for Oncology and Developmental Biology, Limburg, The Netherlands
| | - Walter De Wever
- Universitaire Ziekenhuizen Leuven, Radiology, Leuven, Belgium
| | | | - Aurelie Fabre
- University College Dublin School of Medicine, Histopathology, Dublin, Ireland
| | - Mina Gaga
- Sotiria General Hospital of Chest Diseases of Athens, 7th Respiratory Medicine Department, Athens, Greece
| | - Wouter van Geffen
- Medical Centre Leeuwarden, Department of Respiratory Medicine, Leeuwarden, The Netherlands
- University of Groningen, University Medical Center Groningen, Department of Pulmonary Diseases, Groningen, The Netherlands
| | - Georgia Hardavella
- Sotiria General Hospital of Chest Diseases of Athens, Respiratory Medicine, Athens, Greece
| | - Hans-Ulrich Kauczor
- University of Heidelberg, Diagnostic and Interventional Radiology, Heidelberg, Germany
- German Center for Lung Research DZL, Translational Lung Research Center TLRC, Heidelberg, Germany
| | - Anna Kerpel-Fronius
- National Koranyi Institute of Pulmonology, Department of Radiology, Budapest, Hungary
| | | | - Blin Nagavci
- Institute for Evidence in Medicine, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Ursula Nestle
- Kliniken Maria Hilf GmbH Monchengladbach, Nordrhein-Westfalen, Germany
| | - Nuria Novoa
- University Hospital of Salamanca, Thoracic Surgery, Salamanca, Spain
| | - Helmut Prosch
- Medical University of Vienna, Department of Biomedical Imaging and Image-guided Therapy, Vienna, Austria
| | - Mathias Prokop
- Radboud University Nijmegen Medical Center, Department of Radiology, Nijmegen, The Netherlands
| | - Paul Martin Putora
- Kantonsspital Sankt Gallen, Radiation Oncology, Sankt Gallen, Switzerland
- Inselspital Universitatsspital Bern, Radiation Oncology, Bern, Switzerland
| | | | - Marie-Pierre Revel
- Cochin Hospital, APHP, Radiology Department, Paris, France
- Université de Paris, Paris, France
| | | | - Giulia Veronesi
- Humanitas Research Hospital, Division of Thoracic and General Surgery, Rozzano, Italy
| | | | - Sabine Weckbach
- UniversitatsKlinikum Heidelberg, Heidelberg, Germany
- Bayer AG, Research and Development, Pharmaceuticals, Radiology, Berlin, Germany
| | - Torsten G Blum
- HELIOS Klinikum Emil von Behring GmbH, Lungenklinik Heckeshorn, Berlin, Germany
| | - David R Baldwin
- University of Nottingham, Faculty of Medicine and Health Sciences, Nottingham, UK
- Nottingham University Hospitals NHS Trust, Department of Respiratory Medicine, Nottingham, UK
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3
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O'Dowd EL, Tietzova I, Bartlett E, Devaraj A, Biederer J, Brambilla M, Brunelli A, Chorostowska-Wynimko J, Decaluwe H, Deruysscher D, De Wever W, Donoghue M, Fabre A, Gaga M, van Geffen W, Hardavella G, Kauczor HU, Kerpel-Fronius A, van Meerbeeck J, Nagavci B, Nestle U, Novoa N, Prosch H, Prokop M, Putora PM, Rawlinson J, Revel MP, Snoeckx A, Veronesi G, Vliegenthart R, Weckbach S, Blum TG, Baldwin DR. ERS/ESTS/ESTRO/ESR/ESTI/EFOMP statement on management of incidental findings from low dose CT screening for lung cancer. Eur Respir J 2023; 62:2300533. [PMID: 37802631 DOI: 10.1183/13993003.00533-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 06/06/2023] [Indexed: 10/10/2023]
Abstract
BACKGROUND Screening for lung cancer with low radiation dose computed tomography has a strong evidence base, is being introduced in several European countries and is recommended as a new targeted cancer screening programme. The imperative now is to ensure that implementation follows an evidence-based process that will ensure clinical and cost effectiveness. This European Respiratory Society (ERS) task force was formed to provide an expert consensus for the management of incidental findings which can be adapted and followed during implementation. METHODS A multi-European society collaborative group was convened. 23 topics were identified, primarily from an ERS statement on lung cancer screening, and a systematic review of the literature was conducted according to ERS standards. Initial review of abstracts was completed and full text was provided to members of the group for each topic. Sections were edited and the final document approved by all members and the ERS Science Council. RESULTS Nine topics considered most important and frequent were reviewed as standalone topics (interstitial lung abnormalities, emphysema, bronchiectasis, consolidation, coronary calcification, aortic valve disease, mediastinal mass, mediastinal lymph nodes and thyroid abnormalities). Other topics considered of lower importance or infrequent were grouped into generic categories, suitable for general statements. CONCLUSIONS This European collaborative group has produced an incidental findings statement that can be followed during lung cancer screening. It will ensure that an evidence-based approach is used for reporting and managing incidental findings, which will mean that harms are minimised and any programme is as cost-effective as possible.
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Affiliation(s)
- Emma L O'Dowd
- Nottingham University Hospitals NHS Trust, Nottingham, UK
- University of Nottingham, Faculty of Medicine and Health Sciences, Nottingham, UK
| | - Ilona Tietzova
- Charles University, First Faculty of Medicine, Department of Tuberculosis and Respiratory Diseases, Prague, Czech Republic
| | - Emily Bartlett
- Royal Brompton and Harefield NHS Foundation Trust, Radiology, London, UK
| | - Anand Devaraj
- Royal Brompton and Harefield NHS Foundation Trust, Radiology, London, UK
| | - Jürgen Biederer
- University of Heidelberg, Diagnostic and Interventional Radiology, Heidelberg, Germany
- German Center for Lung Research DZL, Translational Lung Research Center TLRC, Heidelberg, Germany
- University of Latvia, Faculty of Medicine, Riga, Latvia
- Christian-Albrechts-Universität zu Kiel, Faculty of Medicine, Kiel, Germany
| | - Marco Brambilla
- Azienda Ospedaliero-Universitaria Maggiore della Carità di Novara, Novara, Italy
| | | | | | | | - Dirk Deruysscher
- Maastricht University Medical Centre, Department of Radiation Oncology (MAASTRO Clinic), GROW-School for Oncology and Developmental Biology, Limburg, The Netherlands
| | - Walter De Wever
- Universitaire Ziekenhuizen Leuven, Radiology, Leuven, Belgium
| | | | - Aurelie Fabre
- University College Dublin School of Medicine, Histopathology, Dublin, Ireland
| | - Mina Gaga
- Sotiria General Hospital of Chest Diseases of Athens, 7th Respiratory Medicine Department, Athens, Greece
| | - Wouter van Geffen
- Medical Centre Leeuwarden, Department of Respiratory Medicine, Leeuwarden, The Netherlands
- University of Groningen, University Medical Center Groningen, Department of Pulmonary Diseases, Groningen, The Netherlands
| | - Georgia Hardavella
- Sotiria General Hospital of Chest Diseases of Athens, Respiratory Medicine, Athens, Greece
| | - Hans-Ulrich Kauczor
- University of Heidelberg, Diagnostic and Interventional Radiology, Heidelberg, Germany
- German Center for Lung Research DZL, Translational Lung Research Center TLRC, Heidelberg, Germany
| | - Anna Kerpel-Fronius
- National Koranyi Institute of Pulmonology, Department of Radiology, Budapest, Hungary
| | | | - Blin Nagavci
- Institute for Evidence in Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Ursula Nestle
- Kliniken Maria Hilf GmbH Monchengladbach, Nordrhein-Westfalen, Germany
| | - Nuria Novoa
- University Hospital of Salamanca, Thoracic Surgery, Salamanca, Spain
| | - Helmut Prosch
- Medical University of Vienna, Department of Biomedical Imaging and Image-guided Therapy, Vienna, Austria
| | - Mathias Prokop
- Radboud University Nijmegen Medical Center, Department of Radiology, Nijmegen, The Netherlands
| | - Paul Martin Putora
- Kantonsspital Sankt Gallen, Radiation Oncology, Sankt Gallen, Switzerland
- Inselspital Universitatsspital Bern, Radiation Oncology, Bern, Switzerland
| | | | - Marie-Pierre Revel
- Cochin Hospital, APHP, Radiology Department, Paris, France
- Université de Paris, Paris, France
| | | | - Giulia Veronesi
- Humanitas Research Hospital, Division of Thoracic and General Surgery, Rozzano, Italy
| | | | - Sabine Weckbach
- UniversitatsKlinikum Heidelberg, Heidelberg, Germany
- Bayer AG, Research and Development, Pharmaceuticals, Radiology, Berlin, Germany
| | - Torsten G Blum
- HELIOS Klinikum Emil von Behring GmbH, Lungenklinik Heckeshorn, Berlin, Germany
| | - David R Baldwin
- Nottingham University Hospitals NHS Trust, Nottingham, UK
- University of Nottingham, Faculty of Medicine and Health Sciences, Nottingham, UK
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4
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Loose S, Solou D, Strecker C, Hennemuth A, Hüllebrand M, Grundmann S, Asmussen A, Treppner M, Urbach H, Harloff A. Characterization of aortic aging using 3D multi-parametric MRI-long-term follow-up in a population study. Sci Rep 2023; 13:6285. [PMID: 37072440 PMCID: PMC10111081 DOI: 10.1038/s41598-023-33219-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 04/10/2023] [Indexed: 05/03/2023] Open
Abstract
We comprehensively studied morphological and functional aortic aging in a population study using modern three-dimensional MR imaging to allow future comparison in patients with diseases of the aortic valve or aorta. We followed 80 of 126 subjects of a population study (20 to 80 years of age at baseline) using the identical methodology 6.0 ± 0.5 years later. All underwent 3 T MRI of the thoracic aorta including 3D T1 weighted MRI (spatial resolution 1 mm3) for measuring aortic diameter and plaque thickness and 4D flow MRI (spatial/temporal resolution = 2 mm3/20 ms) for calculating global and regional aortic pulse wave velocity (PWV) and helicity of aortic blood flow. Mean diameter of the ascending aorta (AAo) decreased and plaque thickness increased significantly in the aortic arch (AA) and descending aorta (DAo) in females. PWV of the thoracic aorta increased (6.4 ± 1.5 to 7.0 ± 1.7 m/s and 6.8 ± 1.5 to 7.3 ± 1.8 m/s in females and males, respectively) over time. Local normalized helicity volumes (LNHV) decreased significantly in the AAo and AA (0.33 to 0.31 and 0.34 to 0.32 in females and 0.34 to 0.32 and 0.32 to 0.28 in males). By contrast, helicity increased significantly in the DAo in both genders (0.28 to 0.29 and 0.29 to 0.30, respectively). 3D MRI was able to characterize changes in aortic diameter, plaque thickness, PWV and helicity during six years in our population. Aortic aging determined by 3D multi-parametric MRI is now available for future comparisons in patients with diseases of the aortic valve or aorta.
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Affiliation(s)
- Sophie Loose
- Department of Neurology and Neurophysiology, University Medical Center Freiburg, University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Demetris Solou
- Department of Neurology and Neurophysiology, University Medical Center Freiburg, University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Christoph Strecker
- Department of Neurology and Neurophysiology, University Medical Center Freiburg, University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Anja Hennemuth
- Fraunhofer MEVIS, Bremen, Germany
- Institute of Computer-Assisted Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Markus Hüllebrand
- Fraunhofer MEVIS, Bremen, Germany
- Institute of Computer-Assisted Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Sebastian Grundmann
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Department of Cardiology and Angiology I, Heart Center Freiburg University, University of Freiburg, Freiburg, Germany
| | - Alexander Asmussen
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Department of Cardiology and Angiology I, Heart Center Freiburg University, University of Freiburg, Freiburg, Germany
| | - Martin Treppner
- Institute of Medical Biometry and Statistics, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg, Germany
| | - Horst Urbach
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Department of Neuroradiology, Medical Center, University of Freiburg, Freiburg, Germany
| | - Andreas Harloff
- Department of Neurology and Neurophysiology, University Medical Center Freiburg, University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany.
- Faculty of Medicine, University of Freiburg, Freiburg, Germany.
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5
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Almatrafi A, Thomas O, Callister M, Gabe R, Beeken RJ, Neal R. The prevalence of comorbidity in the lung cancer screening population: A systematic review and meta-analysis. J Med Screen 2023; 30:3-13. [PMID: 35942779 PMCID: PMC9925896 DOI: 10.1177/09691413221117685] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVE Comorbidity is associated with adverse outcomes for all lung cancer patients, but its burden is less understood in the context of screening. This review synthesises the prevalence of comorbidities among lung cancer screening (LCS) candidates and summarises the clinical recommendations for screening comorbid individuals. METHODS We searched MEDLINE, EMBASE, EBM Reviews, and CINAHL databases from January 1990 to February 2021. We included LCS studies that reported a prevalence of comorbidity, as a prevalence of a particular condition, or as a summary score. We also summarised LCS clinical guidelines that addressed comorbidity or frailty for LCS as a secondary objective for this review. Meta-analysis was used with inverse-variance weights obtained from a random-effects model to estimate the prevalence of selected comorbidities. RESULTS We included 69 studies in the review; seven reported comorbidity summary scores, two reported performance status, 48 reported individual comorbidities, and 12 were clinical guideline papers. The meta-analysis of individual comorbidities resulted in an estimated prevalence of 35.2% for hypertension, 23.5% for history of chronic obstructive pulmonary disease (COPD) (10.7% for severe COPD), 16.6% for ischaemic heart disease (IHD), 13.1% for peripheral vascular disease (PVD), 12.9% for asthma, 12.5% for diabetes, 4.5% for bronchiectasis, 2.2% for stroke, and 0.5% for pulmonary fibrosis. CONCLUSIONS Comorbidities were highly prevalent in LCS populations and likely to be more prevalent than in other cancer screening programmes. Further research on the burden of comorbid disease and its impact on screening uptake and outcomes is needed. Identifying individuals with frailty and comorbidities who might not benefit from screening should become a priority in LCS research.
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Affiliation(s)
- Anas Almatrafi
- Leeds Institute of Health Sciences,
University of Leeds, Leeds, UK,Department of Epidemiology, Umm Al-Qura University, Makkah, Saudi Arabia,Anas Almatrafi, Leeds Institute of Health
Sciences, University of Leeds, Leeds LS2 9NL, UK.
| | - Owen Thomas
- Leeds Institute of Health Sciences,
University of Leeds, Leeds, UK
| | - Matthew Callister
- Department of Respiratory Medicine, Leeds
Teaching Hospitals, St James's University Hospital, Leeds, UK
| | - Rhian Gabe
- Center for Evaluation and Methods, Wolfson Institute of Population
Health, Queen Mary University of
London, London, UK
| | - Rebecca J Beeken
- Leeds Institute of Health Sciences,
University of Leeds, Leeds, UK,Department of Behavioural Science and
Health, University College London, London, UK
| | - Richard Neal
- Leeds Institute of Health Sciences,
University of Leeds, Leeds, UK,College of Medicine and Health, University of Exeter, Exeter, UK
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6
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Thijssen CGE, Mutluer FO, van der Toorn JE, Bons LR, Gökalp AL, Takkenberg JJ, Mokhles MM, van Kimmenade RRJ, Vernooij MW, van der Lugt A, Budde RPJ, Roos-Hesselink JW, Kavousi M, Bos D. Longitudinal changes of thoracic aortic diameters in the general population aged 55 years or older. Heart 2022; 108:heartjnl-2021-320574. [PMID: 35483871 DOI: 10.1136/heartjnl-2021-320574] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/11/2022] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVE Longitudinal data on age-related changes in the diameters of the thoracic aorta are scarce. To better understand normal variation and to identify factors influencing this process, we aimed to report male-female-specific and age-specific aortic growth rate in the ageing general population and identify factors associated with growth rate. METHODS From the prospective population-based Rotterdam Study, 943 participants (52.0% females, median age at baseline 65 years (62-68)) underwent serial non-enhanced cardiac CT. We measured the diameters of the ascending (AA) and descending aorta (DA) at two time points and expressed absolute and relative differences. Linear mixed effects analysis was performed to identify determinants associated with change in aortic diameters. RESULTS Mean AA diameter at baseline was 37.3±3.6 mm in male population and 34.7±3.2 mm in female population, mean DA diameter was 29.6±2.3 in male population and 26.9±2.2 mm in female population. The median absolute change in diameters during follow-up (mean scan interval 14.1±0.3 years) was 1 mm (0-2) for both the AA and DA. Absolute change per decade in AA diameter was significantly larger in males than in females (0.72 mm/decade (0.00-1.43) vs 0.70 mm/decade (0.00-1.41), p=0.006), as well as absolute change in AD diameter (0.71 mm/decade (0.00-1.42) vs 0.69 mm/decade (0.00-1.36), p=0.008). There was no significant difference between male and female population in relative change of their aortic diameters during follow-up. Age, male sex, higher body mass index (BMI) and higher diastolic blood pressure (DBP) showed a statistically significant independent association with increase in AA and DA diameters over time. CONCLUSIONS Some degree of increase in thoracic aortic diameters is typical in both men and women of an aging population. Factors associated with this change in thoracic aortic diameters were sex, age, BMI and DBP.
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Affiliation(s)
- Carlijn G E Thijssen
- Department of Cardiology, Erasmus MC, Rotterdam, The Netherlands
- Cardiology, Radboudumc, Nijmegen, The Netherlands
| | - Ferit O Mutluer
- Department of Cardiology, Erasmus MC, Rotterdam, The Netherlands
- Department of Cardiology, Yeditepe Üniversity Hospital, Istanbul, Turkey
| | - Janine E van der Toorn
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Lidia R Bons
- Department of Cardiology, Erasmus MC, Rotterdam, The Netherlands
| | - Arjen L Gökalp
- Cardiothoracic Surgery, Erasmus MC, Rotterdam, The Netherlands
| | | | - Mostafa M Mokhles
- Cardiothoracic Surgery, Erasmus MC, Rotterdam, The Netherlands
- Cardiothoracic Surgery, UMC Utrecht, Utrecht, The Netherlands
| | - Roland R J van Kimmenade
- Department of Cardiology, Erasmus MC, Rotterdam, The Netherlands
- Cardiology, Radboudumc, Nijmegen, The Netherlands
| | - Meike W Vernooij
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Ricardo P J Budde
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | | | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Daniel Bos
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
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7
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Castellana R, Aringhieri G, Gargani L, Maestri M, Schirru A, Bonanni E, Faraguna U. Effects of obstructive sleep apnea on the thoracic aorta and the main pulmonary artery: assessment by CT. J Clin Sleep Med 2021; 17:3-11. [PMID: 32876043 DOI: 10.5664/jcsm.8770] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
STUDY OBJECTIVES The influence of obstructive sleep apnea (OSA) on thoracic aortic size is debated. We aimed to identify possible relations between sleep parameters and the sizes of the ascending aorta (AA), the descending thoracic aorta (DTA), and the main pulmonary artery (MPA) in patients with untreated OSA and in a subgroup of participants without comorbidities capable of affecting the size of great thoracic vessels. METHODS We retrospectively measured AA, DTA, and MPA sizes on the chest computed tomography scans of 60 patients with OSA who underwent sleep studies within 1 year before or after the computed tomography. Univariate and multivariate analyses were performed on all patient findings, while an additional univariate analysis was conducted on the data for 22 participants without comorbidities. The latter had been divided into subgroups depending on the sleep parameters, and comparisons were made between them. RESULTS The logarithm of the time of oxygen saturation below 90% (CT90) significantly predicted AA and MPA sizes in all patients with OSA (P < .05). Oxygen desaturation index and minimum oxygen saturation were moderately correlated with AA and DTA sizes in patients without comorbidities (P < .01). In this group, subjects with oxygen desaturation index > 30 or minimum oxygen saturation < 81% had greater AA and DTA dimensions (P < .05). CONCLUSIONS In patients with OSA, time of oxygen saturation < 90% influenced AA and MPA sizes. In those patients without comorbidities, oxygen desaturation index and minimum oxygen saturation were moderately correlated with both AA and DTA sizes. Participants without comorbidities with oxygen desaturation index > 30 or minimum oxygen saturation < 81% had greater AA and DTA dimensions.
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Affiliation(s)
- Roberto Castellana
- Diagnostic and Interventional Radiology, University of Pisa, Pisa, Italy
| | - Giacomo Aringhieri
- Diagnostic and Interventional Radiology, University of Pisa, Pisa, Italy
| | - Luna Gargani
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Michelangelo Maestri
- Department of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy
| | - Alessandro Schirru
- Department of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy
| | - Enrica Bonanni
- Department of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy
| | - Ugo Faraguna
- Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy.,Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Pisa, Italy
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Nikolaev AE, Chernina VY, Blokhin IA, Shapiev AN, Gonchar AP, Gombolevskiy VA, Petraikin AV, Silin AY, Petrova GD, Morozov SP. [The future of computer-aided diagnostics in chest computed tomography]. Khirurgiia (Mosk) 2019:91-99. [PMID: 31825348 DOI: 10.17116/hirurgia201912191] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Recently, more and more attention has been paid to the utility of artificial intelligence in medicine. Radiology differs from other medical specialties with its high digitalization, so most software developers operationalize this area of medicine. The primary condition for machine learning is met because medical diagnostic images have high reproducibility. Today, the most common anatomic area for computed tomography is the thorax, particularly with the widespread lung cancer screening programs using low-dose computed tomography. In this regard, the amount of information that needs to be processed by a radiologist is snowballing. Thus, automatic image analysis will allow more studies to be interpreted. This review is aimed at highlighting the possibilities of machine learning in the chest computed tomography.
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Affiliation(s)
- A E Nikolaev
- Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
| | - V Yu Chernina
- Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
| | - I A Blokhin
- Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
| | - A N Shapiev
- Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
| | - A P Gonchar
- Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
| | - V A Gombolevskiy
- Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
| | - A V Petraikin
- Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
| | - A Yu Silin
- Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
| | - G D Petrova
- Research Institute for Healthcare Organization and Medical Management of Moscow Healthcare Department, Moscow, Russia
| | - S P Morozov
- Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of Moscow, Moscow, Russia
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