Literature DB >> 28058482

Comparison of the effects of model-based iterative reconstruction and filtered back projection algorithms on software measurements in pulmonary subsolid nodules.

Julien G Cohen1,2,3, Hyungjin Kim1,2, Su Bin Park1,2, Bram van Ginneken4, Gilbert R Ferretti3,5, Chang Hyun Lee1, Jin Mo Goo1,2,6, Chang Min Park7,8,9.   

Abstract

OBJECTIVES: To evaluate the differences between filtered back projection (FBP) and model-based iterative reconstruction (MBIR) algorithms on semi-automatic measurements in subsolid nodules (SSNs).
METHODS: Unenhanced CT scans of 73 SSNs obtained using the same protocol and reconstructed with both FBP and MBIR algorithms were evaluated by two radiologists. Diameter, mean attenuation, mass and volume of whole nodules and their solid components were measured. Intra- and interobserver variability and differences between FBP and MBIR were then evaluated using Bland-Altman method and Wilcoxon tests.
RESULTS: Longest diameter, volume and mass of nodules and those of their solid components were significantly higher using MBIR (p < 0.05) with mean differences of 1.1% (limits of agreement, -6.4 to 8.5%), 3.2% (-20.9 to 27.3%) and 2.9% (-16.9 to 22.7%) and 3.2% (-20.5 to 27%), 6.3% (-51.9 to 64.6%), 6.6% (-50.1 to 63.3%), respectively. The limits of agreement between FBP and MBIR were within the range of intra- and interobserver variability for both algorithms with respect to the diameter, volume and mass of nodules and their solid components. There were no significant differences in intra- or interobserver variability between FBP and MBIR (p > 0.05).
CONCLUSION: Semi-automatic measurements of SSNs significantly differed between FBP and MBIR; however, the differences were within the range of measurement variability. KEY POINTS: • Intra- and interobserver reproducibility of measurements did not differ between FBP and MBIR. • Differences in SSNs' semi-automatic measurement induced by reconstruction algorithms were not clinically significant. • Semi-automatic measurement may be conducted regardless of reconstruction algorithm. • SSNs' semi-automated classification agreement (pure vs. part-solid) did not significantly differ between algorithms.

Keywords:  Iterative reconstruction; Lung neoplasms; Measurement variability; Multidetector computed tomography; Subsolid nodule

Mesh:

Year:  2017        PMID: 28058482     DOI: 10.1007/s00330-016-4716-5

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


  24 in total

1.  Volumetric measurements of pulmonary nodules at multi-row detector CT: in vivo reproducibility.

Authors:  Dag Wormanns; Gerhard Kohl; Ernst Klotz; Anke Marheine; Florian Beyer; Walter Heindel; Stefan Diederich
Journal:  Eur Radiol       Date:  2003-11-13       Impact factor: 5.315

2.  Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management.

Authors:  Sarah J van Riel; Clara I Sánchez; Alexander A Bankier; David P Naidich; Johnny Verschakelen; Ernst T Scholten; Pim A de Jong; Colin Jacobs; Eva van Rikxoort; Liesbeth Peters-Bax; Miranda Snoeren; Mathias Prokop; Bram van Ginneken; Cornelia Schaefer-Prokop
Journal:  Radiology       Date:  2015-05-22       Impact factor: 11.105

3.  Growth rate of small lung cancers detected on mass CT screening.

Authors:  M Hasegawa; S Sone; S Takashima; F Li; Z G Yang; Y Maruyama; T Watanabe
Journal:  Br J Radiol       Date:  2000-12       Impact factor: 3.039

4.  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

5.  Volume and mass doubling times of persistent pulmonary subsolid nodules detected in patients without known malignancy.

Authors:  Yong Sub Song; Chang Min Park; Sang Joon Park; Sang Min Lee; Yoon Kyung Jeon; Jin Mo Goo
Journal:  Radiology       Date:  2014-06-14       Impact factor: 11.105

6.  Recommendations for the management of subsolid pulmonary nodules detected at CT: a statement from the Fleischner Society.

Authors:  David P Naidich; Alexander A Bankier; Heber MacMahon; Cornelia M Schaefer-Prokop; Massimo Pistolesi; Jin Mo Goo; Paolo Macchiarini; James D Crapo; Christian J Herold; John H Austin; William D Travis
Journal:  Radiology       Date:  2012-10-15       Impact factor: 11.105

7.  Radiation risks potentially associated with low-dose CT screening of adult smokers for lung cancer.

Authors:  David J Brenner
Journal:  Radiology       Date:  2004-05       Impact factor: 11.105

8.  The long-term course of ground-glass opacities detected on thin-section computed tomography.

Authors:  Sei Won Lee; Cho-Sun Leem; Tae Jung Kim; Kyung Won Lee; Jin-Haeng Chung; Sanghoon Jheon; Jae-Ho Lee; Choon-Taek Lee
Journal:  Respir Med       Date:  2013-03-17       Impact factor: 3.415

9.  Natural history of pure ground-glass opacity lung nodules detected by low-dose CT scan.

Authors:  Boksoon Chang; Jung Hye Hwang; Yoon-Ho Choi; Man Pyo Chung; Hojoong Kim; O Jung Kwon; Ho Yun Lee; Kyung Soo Lee; Young Mog Shim; Joungho Han; Sang-Won Um
Journal:  Chest       Date:  2013-01       Impact factor: 9.410

10.  Radiation dose reduction for CT lung cancer screening using ASIR and MBIR: a phantom study.

Authors:  Kelsey B Mathieu; Hua Ai; Patricia S Fox; Myrna Cobos Barco Godoy; Reginald F Munden; Patricia M de Groot; Tinsu Pan
Journal:  J Appl Clin Med Phys       Date:  2014-03-06       Impact factor: 2.102

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  5 in total

1.  Implication of total tumor size on the prognosis of patients with clinical stage IA lung adenocarcinomas appearing as part-solid nodules: Does only the solid portion size matter?

Authors:  Hyungjin Kim; Jin Mo Goo; Young Joo Suh; Chang Min Park; Young Tae Kim
Journal:  Eur Radiol       Date:  2018-08-21       Impact factor: 5.315

2.  Pure ground-glass nodules: are they really indolent?

Authors:  Julien G Cohen; Gilbert R Ferretti
Journal:  J Thorac Dis       Date:  2017-09       Impact factor: 2.895

3.  A simple prediction model using size measures for discrimination of invasive adenocarcinomas among incidental pulmonary subsolid nodules considered for resection.

Authors:  Hyungjin Kim; Jin Mo Goo; Chang Min Park
Journal:  Eur Radiol       Date:  2018-09-25       Impact factor: 5.315

4.  Evaluation of T categories for pure ground-glass nodules with semi-automatic volumetry: is mass a better predictor of invasive part size than other volumetric parameters?

Authors:  Hyungjin Kim; Jin Mo Goo; Chang Min Park
Journal:  Eur Radiol       Date:  2018-04-30       Impact factor: 5.315

5.  Accuracy of Model-Based Iterative Reconstruction for CT Volumetry of Part-Solid Nodules and Solid Nodules in Comparison with Filtered Back Projection and Hybrid Iterative Reconstruction at Various Dose Settings: An Anthropomorphic Chest Phantom Study.

Authors:  Seung Kwan Kim; Cherry Kim; Ki Yeol Lee; Jaehyung Cha; Hyun Ju Lim; Eun Young Kang; Yu Whan Oh
Journal:  Korean J Radiol       Date:  2019-07       Impact factor: 3.500

  5 in total

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