Literature DB >> 24816936

Cardiac valve calcifications on low-dose unenhanced ungated chest computed tomography: inter-observer and inter-examination reliability, agreement and variability.

Robbert W van Hamersvelt1, Martin J Willemink, Richard A P Takx, Anouk L M Eikendal, Ricardo P J Budde, Tim Leiner, Christian P Mol, Ivana Isgum, Pim A de Jong.   

Abstract

OBJECTIVES: To determine inter-observer and inter-examination variability for aortic valve calcification (AVC) and mitral valve and annulus calcification (MC) in low-dose unenhanced ungated lung cancer screening chest computed tomography (CT).
METHODS: We included 578 lung cancer screening trial participants who were examined by CT twice within 3 months to follow indeterminate pulmonary nodules. On these CTs, AVC and MC were measured in cubic millimetres. One hundred CTs were examined by five observers to determine the inter-observer variability. Reliability was assessed by kappa statistics (κ) and intra-class correlation coefficients (ICCs). Variability was expressed as the mean difference ± standard deviation (SD).
RESULTS: Inter-examination reliability was excellent for AVC (κ = 0.94, ICC = 0.96) and MC (κ = 0.95, ICC = 0.90). Inter-examination variability was 12.7 ± 118.2 mm(3) for AVC and 31.5 ± 219.2 mm(3) for MC. Inter-observer reliability ranged from κ = 0.68 to κ = 0.92 for AVC and from κ = 0.20 to κ = 0.66 for MC. Inter-observer ICC was 0.94 for AVC and ranged from 0.56 to 0.97 for MC. Inter-observer variability ranged from -30.5 ± 252.0 mm(3) to 84.0 ± 240.5 mm(3) for AVC and from -95.2 ± 210.0 mm(3) to 303.7 ± 501.6 mm(3) for MC.
CONCLUSIONS: AVC can be quantified with excellent reliability on ungated unenhanced low-dose chest CT, but manual detection of MC can be subject to substantial inter-observer variability. Lung cancer screening CT may be used for detection and quantification of cardiac valve calcifications. KEY POINTS: • Low-dose unenhanced ungated chest computed tomography can detect cardiac valve calcifications. • However, calcified cardiac valves are not reported by most radiologists. • Inter-observer and inter-examination variability of aortic valve calcifications is sufficient for longitudinal studies. • Volumetric measurement variability of mitral valve and annulus calcifications is substantial.

Entities:  

Mesh:

Year:  2014        PMID: 24816936     DOI: 10.1007/s00330-014-3191-0

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  25 in total

1.  Guidelines for Reporting Reliability and Agreement Studies (GRRAS) were proposed.

Authors:  Jan Kottner; Laurent Audigé; Stig Brorson; Allan Donner; Byron J Gajewski; Asbjørn Hróbjartsson; Chris Roberts; Mohamed Shoukri; David L Streiner
Journal:  J Clin Epidemiol       Date:  2010-06-17       Impact factor: 6.437

Review 2.  Validation and prognosis of coronary artery calcium scoring in nontriggered thoracic computed tomography: systematic review and meta-analysis.

Authors:  Xueqian Xie; Yingru Zhao; Geertruida H de Bock; Pim A de Jong; Willem P Mali; Matthijs Oudkerk; Rozemarijn Vliegenthart
Journal:  Circ Cardiovasc Imaging       Date:  2013-06-11       Impact factor: 7.792

3.  Comparing coronary artery calcium and thoracic aorta calcium for prediction of all-cause mortality and cardiovascular events on low-dose non-gated computed tomography in a high-risk population of heavy smokers.

Authors:  Peter C Jacobs; Mathias Prokop; Yolanda van der Graaf; Martijn J Gondrie; Kristel J Janssen; Harry J de Koning; Ivana Isgum; Rob J van Klaveren; Matthijs Oudkerk; Bram van Ginneken; Willem P Mali
Journal:  Atherosclerosis       Date:  2009-09-26       Impact factor: 5.162

4.  A graphical method for assessing agreement with the mean between multiple observers using continuous measures.

Authors:  Mark Jones; Annette Dobson; Sue O'Brian
Journal:  Int J Epidemiol       Date:  2011-07-06       Impact factor: 7.196

5.  Computed tomographic screening for lung cancer: an opportunity to evaluate other diseases.

Authors:  Onno M Mets; Pim A de Jong; Mathias Prokop
Journal:  JAMA       Date:  2012-10-10       Impact factor: 56.272

Review 6.  Arterial calcification: a review of mechanisms, animal models, and the prospects for therapy.

Authors:  R Wallin; N Wajih; G T Greenwood; D C Sane
Journal:  Med Res Rev       Date:  2001-07       Impact factor: 12.944

7.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

8.  Characteristics of lung cancers detected by computer tomography screening in the randomized NELSON trial.

Authors:  Nanda Horeweg; Carlijn M van der Aalst; Erik Thunnissen; Kristiaan Nackaerts; Carla Weenink; Harry J M Groen; Jan-Willem J Lammers; Joachim G Aerts; Ernst T Scholten; Joost van Rosmalen; Willem Mali; Matthijs Oudkerk; Harry J de Koning
Journal:  Am J Respir Crit Care Med       Date:  2013-04-15       Impact factor: 21.405

9.  Lung cancer screening CT-based prediction of cardiovascular events.

Authors:  Onno M Mets; Rozemarijn Vliegenthart; Martijn J Gondrie; Max A Viergever; Matthijs Oudkerk; Harry J de Koning; Willem P Th M Mali; Mathias Prokop; Rob J van Klaveren; Yolanda van der Graaf; Constantinus F M Buckens; Pieter Zanen; Jan-Willem J Lammers; Harry J M Groen; Ivana Isgum; Pim A de Jong
Journal:  JACC Cardiovasc Imaging       Date:  2013-06-13

10.  Mortality attributable to smoking in China.

Authors:  Dongfeng Gu; Tanika N Kelly; Xigui Wu; Jing Chen; Jonathan M Samet; Jian-feng Huang; Manlu Zhu; Ji-chun Chen; Chung-Shiuan Chen; Xiufang Duan; Michael J Klag; Jiang He
Journal:  N Engl J Med       Date:  2009-01-08       Impact factor: 91.245

View more
  9 in total

1.  Epicardial fat volume measured on nongated chest CT is a predictor of coronary artery disease.

Authors:  Yasunori Nagayama; Naoki Nakamura; Ryo Itatani; Seitaro Oda; Shinichiro Kusunoki; Hideo Takahashi; Takeshi Nakaura; Daisuke Utsunomiya; Yasuyuki Yamashita
Journal:  Eur Radiol       Date:  2019-03-11       Impact factor: 5.315

2.  Incremental Value of Aortomitral Continuity Calcification for Risk Assessment after Transcatheter Aortic Valve Replacement.

Authors:  Martin J Willemink; Eva Maret; Kegan J Moneghetti; Juyong Brian Kim; Francois Haddad; Yukari Kobayashi; Takeshi Nishi; Koen Nieman; Nicholas Cauwenberghs; Tatiana Kuznetsova; Kai Higashigaito; Anna M Sailer; Alan C Yeung; Anson M Lee; D Craig Miller; Michael Fischbein; William F Fearon; Dominik Fleischmann
Journal:  Radiol Cardiothorac Imaging       Date:  2019-12-19

3.  Generative models for reproducible coronary calcium scoring.

Authors:  Sanne G M van Velzen; Bob D de Vos; Julia M H Noothout; Helena M Verkooijen; Max A Viergever; Ivana Išgum
Journal:  J Med Imaging (Bellingham)       Date:  2022-05-31

4.  Deep Learning-Quantified Calcium Scores for Automatic Cardiovascular Mortality Prediction at Lung Screening Low-Dose CT.

Authors:  Bob D de Vos; Nikolas Lessmann; Pim A de Jong; Ivana Išgum
Journal:  Radiol Cardiothorac Imaging       Date:  2021-04-15

5.  Prognostic value of heart valve calcifications for cardiovascular events in a lung cancer screening population.

Authors:  Martin J Willemink; Richard A P Takx; Ivana Išgum; Harry J de Koning; Matthijs Oudkerk; Willem P Th M Mali; Ricardo P J Budde; Tim Leiner; Rozemarijn Vliegenthart; Pim A de Jong
Journal:  Int J Cardiovasc Imaging       Date:  2015-05-12       Impact factor: 2.357

6.  Quantification of Aortic Valve Calcifications Detected During Lung Cancer-Screening CT Helps Stratify Subjects Necessitating Echocardiography for Aortic Stenosis Diagnosis.

Authors:  Hee Young Lee; Sung Mok Kim; Kyung Soo Lee; Seung Woo Park; Myung Jin Chung; Hyoun Cho; Jung Im Jung; Hye Won Jang; Sin-Ho Jung; Juna Goo
Journal:  Medicine (Baltimore)       Date:  2016-05       Impact factor: 1.889

7.  Feasibility and accuracy of dual-layer spectral detector computed tomography for quantification of gadolinium: a phantom study.

Authors:  Robbert W van Hamersvelt; Martin J Willemink; Pim A de Jong; Julien Milles; Alain Vlassenbroek; Arnold M R Schilham; Tim Leiner
Journal:  Eur Radiol       Date:  2017-01-25       Impact factor: 5.315

Review 8.  [Clinical Value of Cardiovascular Calcifications on Non-Enhanced, Non-ECG-Gated Chest CT].

Authors:  Tae Seop Choi; Hwan Seok Yong; Cherry Kim; Young Joo Suh
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2020-03-31

9.  Automatic Coronary Artery Calcium Scoring on Radiotherapy Planning CT Scans of Breast Cancer Patients: Reproducibility and Association with Traditional Cardiovascular Risk Factors.

Authors:  Sofie A M Gernaat; Ivana Išgum; Bob D de Vos; Richard A P Takx; Danny A Young-Afat; Noor Rijnberg; Diederick E Grobbee; Yolanda van der Graaf; Pim A de Jong; Tim Leiner; Desiree H J van den Bongard; Jean-Philippe Pignol; Helena M Verkooijen
Journal:  PLoS One       Date:  2016-12-09       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.