Literature DB >> 34170410

The impact of lung parenchyma attenuation on nodule volumetry in lung cancer screening.

Diana Penha1,2, Erique Pinto3, Bruno Hochhegger4, Colin Monaghan5, Edson Marchiori6,7, Luís Taborda-Barata3, Klaus Irion8.   

Abstract

BACKGROUND: Recent recommendations for lung nodule management include volumetric analysis using tools that present intrinsic measurement variability, with possible impacts on clinical decisions and patient safety. This study was conducted to evaluate whether changes in the attenuation of the lung parenchyma adjacent to a nodule affect the performance of nodule segmentation using computed tomography (CT) studies and volumetric tools.
METHODS: Two radiologists retrospectively applied two commercially available volumetric tools for the assessment of lung nodules with diameters of 5-8 mm detected by low-dose chest CT during a lung cancer screening program. The radiologists recorded the success and adequacy of nodule segmentation, nodule volume, manually and automatically (or semi-automatically) obtained long- and short-axis measurements, mean attenuation of adjacent lung parenchyma, and presence of interstitial lung abnormalities or disease, emphysema, pleural plaques, and linear atelectasis. Regression analysis was performed to identify predictors of good nodule segmentation using the volumetric tools. Interobserver and intersoftware agreement on good nodule segmentation was assessed using the intraclass correlation coefficient.
RESULTS: In total, data on 1265 nodules (mean patient age, 68.3 ± 5.1 years; 70.2% male) were included in the study. In the regression model, attenuation of the adjacent lung parenchyma was highly significant (odds ratio 0.987, p < 0.001), with a large effect size. Interobserver and intersoftware agreement on good segmentation was good, although one software package performed better and measurements differed consistently between software packages.
CONCLUSION: For lung nodules with diameters of 5-8 mm, the likelihood of good segmentation declines with increasing attenuation of the adjacent parenchyma.

Entities:  

Keywords:  Interstitial lung disease; Lung cancer screening; Segmentation; Volumetry

Year:  2021        PMID: 34170410     DOI: 10.1186/s13244-021-01027-0

Source DB:  PubMed          Journal:  Insights Imaging        ISSN: 1869-4101


  24 in total

1.  Pulmonary nodule volumetric measurement variability as a function of CT slice thickness and nodule morphology.

Authors:  Myria Petrou; Leslie E Quint; Bin Nan; Laurence H Baker
Journal:  AJR Am J Roentgenol       Date:  2007-02       Impact factor: 3.959

2.  Imprecision in automated volume measurements of pulmonary nodules and its effect on the level of uncertainty in volume doubling time estimation.

Authors:  Paul J Nietert; James G Ravenel; William M Leue; James V Miller; Katherine K Taylor; Elizabeth S Garrett-Mayer; Gerard A Silvestri
Journal:  Chest       Date:  2009-01-13       Impact factor: 9.410

3.  Pulmonary nodule volume: effects of reconstruction parameters on automated measurements--a phantom study.

Authors:  James G Ravenel; William M Leue; Paul J Nietert; James V Miller; Katherine K Taylor; Gerard A Silvestri
Journal:  Radiology       Date:  2008-05       Impact factor: 11.105

4.  Solid, part-solid, or non-solid?: classification of pulmonary nodules in low-dose chest computed tomography by a computer-aided diagnosis system.

Authors:  Colin Jacobs; Eva M van Rikxoort; Ernst Th Scholten; Pim A de Jong; Mathias Prokop; Cornelia Schaefer-Prokop; Bram van Ginneken
Journal:  Invest Radiol       Date:  2015-03       Impact factor: 6.016

5.  Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017.

Authors:  Heber MacMahon; David P Naidich; Jin Mo Goo; Kyung Soo Lee; Ann N C Leung; John R Mayo; Atul C Mehta; Yoshiharu Ohno; Charles A Powell; Mathias Prokop; Geoffrey D Rubin; Cornelia M Schaefer-Prokop; William D Travis; Paul E Van Schil; Alexander A Bankier
Journal:  Radiology       Date:  2017-02-23       Impact factor: 11.105

Review 6.  Use of Volumetry for Lung Nodule Management: Theory and Practice.

Authors:  Anand Devaraj; Bram van Ginneken; Arjun Nair; David Baldwin
Journal:  Radiology       Date:  2017-09       Impact factor: 11.105

7.  Robust semi-automatic segmentation of pulmonary subsolid nodules in chest computed tomography scans.

Authors:  B C Lassen; C Jacobs; J-M Kuhnigk; B van Ginneken; E M van Rikxoort
Journal:  Phys Med Biol       Date:  2015-01-16       Impact factor: 3.609

8.  Management of lung nodules detected by volume CT scanning.

Authors:  Rob J van Klaveren; Matthijs Oudkerk; Mathias Prokop; Ernst T Scholten; Kristiaan Nackaerts; Rene Vernhout; Carola A van Iersel; Karien A M van den Bergh; Susan van 't Westeinde; Carlijn van der Aalst; Erik Thunnissen; Dong Ming Xu; Ying Wang; Yingru Zhao; Hester A Gietema; Bart-Jan de Hoop; Harry J M Groen; Geertruida H de Bock; Peter van Ooijen; Carla Weenink; Johny Verschakelen; Jan-Willem J Lammers; Wim Timens; Dik Willebrand; Aryan Vink; Willem Mali; Harry J de Koning
Journal:  N Engl J Med       Date:  2009-12-03       Impact factor: 91.245

9.  Pulmonary nodules: 3D volumetric measurement with multidetector CT--effect of intravenous contrast medium.

Authors:  Osamu Honda; Takeshi Johkoh; Hiromitsu Sumikawa; Atsuo Inoue; Noriyuki Tomiyama; Naoki Mihara; Yuka Fujita; Mitsuko Tsubamoto; Masahiro Yanagawa; Tadahisa Daimon; Javzandulam Natsag; Hironobu Nakamura
Journal:  Radiology       Date:  2007-10-19       Impact factor: 11.105

10.  UK Lung Cancer RCT Pilot Screening Trial: baseline findings from the screening arm provide evidence for the potential implementation of lung cancer screening.

Authors:  J K Field; S W Duffy; D R Baldwin; D K Whynes; A Devaraj; K E Brain; T Eisen; J Gosney; B A Green; J A Holemans; T Kavanagh; K M Kerr; M Ledson; K J Lifford; F E McRonald; A Nair; R D Page; M K B Parmar; D M Rassl; R C Rintoul; N J Screaton; N J Wald; D Weller; P R Williamson; G Yadegarfar; D M Hansell
Journal:  Thorax       Date:  2015-12-08       Impact factor: 9.139

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  2 in total

1.  Pulmonary diseases that cause abnormal lung parenchymal density: is this a problem in lung cancer screening?

Authors:  Diana Penha; Erique Pinto; Edson Marchiori; Luís Taborda-Barata; Klaus Irion
Journal:  J Bras Pneumol       Date:  2022-06-10       Impact factor: 2.800

2.  Quantum Iterative Reconstruction for Low-Dose Ultra-High-Resolution Photon-Counting Detector CT of the Lung.

Authors:  Thomas Sartoretti; Damien Racine; Victor Mergen; Lisa Jungblut; Pascal Monnin; Thomas G Flohr; Katharina Martini; Thomas Frauenfelder; Hatem Alkadhi; André Euler
Journal:  Diagnostics (Basel)       Date:  2022-02-18
  2 in total

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