Literature DB >> 32438877

Surveillance of small, solid pulmonary nodules at digital chest tomosynthesis: data from a cohort of the pilot Swedish CArdioPulmonary bioImage Study (SCAPIS).

Carin Meltzer1,2, Erika Fagman1,3, Jenny Vikgren1,3, David Molnar1,3, Eivind Borna4, Maral Mirzai Beni5, John Brandberg1,3, Bengt Bergman6,7, Magnus Båth5,8, Åse A Johnsson1,3.   

Abstract

BACKGROUND: Digital tomosynthesis (DTS) might be a low-dose/low-cost alternative to computed tomography (CT).
PURPOSE: To investigate DTS relative to CT for surveillance of incidental, solid pulmonary nodules.
MATERIAL AND METHODS: Recruited from a population study, 106 participants with indeterminate solid pulmonary nodules on CT underwent surveillance with concurrently performed CT and DTS. Nodule size on DTS was assessed by manual diameter measurements and semi-automatic nodule segmentations were independently performed on CT. Measurement agreement was analyzed according to Bland-Altman with 95% limits of agreement (LoA). Detection of nodule volume change > 25% by DTS in comparison to CT was evaluated with receiver operating characteristics (ROC).
RESULTS: A total of 81 nodules (76%) were assessed as measurable on DTS by two independent observers. Inter- and intra-observer LoA regarding change in average diameter were ± 2 mm. Calculation of relative volume change on DTS resulted in wide inter- and intra-observer LoA in the order of ± 100% and ± 50%. Comparing relative volume change between DTS and CT resulted in LoA of -58% to 67%. The area under the ROC curve regarding the ability of DTS to detect volumetric changes > 25% on CT was 0.58 (95% confidence interval [CI] = 0.40-0.76) and 0.50 (95% CI = 0.35-0.66) for the two observers.
CONCLUSION: The results of the present study show that measurement variability limits the agreement between DTS and CT regarding nodule size change for small solid nodules.

Entities:  

Keywords:  Lung; computer applications – detection; diagnosis; digital radiography; radiation safety

Mesh:

Year:  2020        PMID: 32438877      PMCID: PMC7930602          DOI: 10.1177/0284185120923106

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  42 in total

Review 1.  Measuring agreement in method comparison studies.

Authors:  J M Bland; D G Altman
Journal:  Stat Methods Med Res       Date:  1999-06       Impact factor: 3.021

Review 2.  VIEWDEX: A STATUS REPORT.

Authors:  Angelica Svalkvist; Sune Svensson; Markus Håkansson; Magnus Båth; Lars Gunnar Månsson
Journal:  Radiat Prot Dosimetry       Date:  2016-01-27       Impact factor: 0.972

3.  Fleischner Society: glossary of terms for thoracic imaging.

Authors:  David M Hansell; Alexander A Bankier; Heber MacMahon; Theresa C McLoud; Nestor L Müller; Jacques Remy
Journal:  Radiology       Date:  2008-01-14       Impact factor: 11.105

4.  Learning aspects and potential pitfalls regarding detection of pulmonary nodules in chest tomosynthesis and proposed related quality criteria.

Authors:  Sara Asplund; Ase A Johnsson; Jenny Vikgren; Angelica Svalkvist; Marianne Boijsen; Valeria Fisichella; Agneta Flinck; Asa Wiksell; Jonas Ivarsson; Hans Rystedt; Lars Gunnar Månsson; Susanne Kheddache; Magnus Båth
Journal:  Acta Radiol       Date:  2011-04-06       Impact factor: 1.990

5.  The value of digital tomosynthesis of the chest as a problem-solving tool for suspected pulmonary nodules and hilar lesions detected on chest radiography.

Authors:  Angela Galea; Paul Dubbins; Richard Riordan; Tarig Adlan; Carl Roobottom; David Gay
Journal:  Eur J Radiol       Date:  2015-02-23       Impact factor: 3.528

6.  Recommendations for Measuring Pulmonary Nodules at CT: A Statement from the Fleischner Society.

Authors:  Alexander A Bankier; Heber MacMahon; Jin Mo Goo; Geoffrey D Rubin; Cornelia M Schaefer-Prokop; David P Naidich
Journal:  Radiology       Date:  2017-06-26       Impact factor: 11.105

7.  Optimisation of volume-doubling time cutoff for fast-growing lung nodules in CT lung cancer screening reduces false-positive referrals.

Authors:  Marjolein A Heuvelmans; Matthijs Oudkerk; Geertruida H de Bock; Harry J de Koning; Xueqian Xie; Peter M A van Ooijen; Marcel J W Greuter; Pim A de Jong; Harry J M Groen; Rozemarijn Vliegenthart
Journal:  Eur Radiol       Date:  2013-03-19       Impact factor: 5.315

8.  Effective dose to patients from chest examinations with tomosynthesis.

Authors:  Magnus Båth; Angelica Svalkvist; Alexa von Wrangel; Heidi Rismyhr-Olsson; Ake Cederblad
Journal:  Radiat Prot Dosimetry       Date:  2010-03-16       Impact factor: 0.972

Review 9.  CT radiation dose optimization and estimation: an update for radiologists.

Authors:  Hyun Woo Goo
Journal:  Korean J Radiol       Date:  2011-12-23       Impact factor: 3.500

10.  The Swedish CArdioPulmonary BioImage Study: objectives and design.

Authors:  G Bergström; G Berglund; A Blomberg; J Brandberg; G Engström; J Engvall; M Eriksson; U de Faire; A Flinck; M G Hansson; B Hedblad; O Hjelmgren; C Janson; T Jernberg; Å Johnsson; L Johansson; L Lind; C-G Löfdahl; O Melander; C J Östgren; A Persson; M Persson; A Sandström; C Schmidt; S Söderberg; J Sundström; K Toren; A Waldenström; H Wedel; J Vikgren; B Fagerberg; A Rosengren
Journal:  J Intern Med       Date:  2015-06-19       Impact factor: 8.989

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  1 in total

1.  Diagnostic Accuracy of Chest Digital Tomosynthesis in Patients Recovering after COVID-19 Pneumonia.

Authors:  Elisa Baratella; Barbara Ruaro; Cristina Marrocchio; Gabriele Poillucci; Caterina Pigato; Alessandro Marco Bozzato; Francesco Salton; Paola Confalonieri; Filippo Crimi; Barbara Wade; Emilio Quaia; Maria Assunta Cova
Journal:  Tomography       Date:  2022-04-24
  1 in total

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