Literature DB >> 27048527

Software performance in segmenting ground-glass and solid components of subsolid nodules in pulmonary adenocarcinomas.

Julien G Cohen1,2, Jin Mo Goo3,4, Roh-Eul Yoo1, Chang Min Park1,5, Chang Hyun Lee1, Bram van Ginneken6, Doo Hyun Chung7, Young Tae Kim5,8.   

Abstract

OBJECTIVE: To evaluate the performance of software in segmenting ground-glass and solid components of subsolid nodules in pulmonary adenocarcinomas.
METHOD: Seventy-three pulmonary adenocarcinomas manifesting as subsolid nodules were included. Two radiologists measured the maximal axial diameter of the ground-glass components on lung windows and that of the solid components on lung and mediastinal windows. Nodules were segmented using software by applying five (-850 HU to -650 HU) and nine (-130 HU to -500 HU) attenuation thresholds. We compared the manual and software measurements of ground-glass and solid components with pathology measurements of tumour and invasive components.
RESULTS: Segmentation of ground-glass components at a threshold of -750 HU yielded mean differences of +0.06 mm (p = 0.83, 95 % limits of agreement, 4.51 to 4.67) and -2.32 mm (p < 0.001, -8.27 to 3.63) when compared with pathology and manual measurements, respectively. For solid components, mean differences between the software (at -350 HU) and pathology measurements and between the manual (lung and mediastinal windows) and pathology measurements were -0.12 mm (p = 0.74, -5.73 to 5.55]), 0.15 mm (p = 0.73, -6.92 to 7.22), and -1.14 mm (p < 0.001, -7.93 to 5.64), respectively.
CONCLUSION: Software segmentation of ground-glass and solid components in subsolid nodules showed no significant difference with pathology. KEY POINTS: • Software can effectively segment ground-glass and solid components in subsolid nodules. • Software measurements show no significant difference with pathology measurements. • Manual measurements are more accurate on lung windows than on mediastinal windows.

Entities:  

Keywords:  Adenocarcinoma; Lung cancer; Segmentation; Solitary pulmonary nodule; Subsolid nodule

Mesh:

Year:  2016        PMID: 27048527     DOI: 10.1007/s00330-016-4317-3

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


  20 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.  Volume-doubling time of pulmonary nodules with ground glass opacity at multidetector CT: Assessment with computer-aided three-dimensional volumetry.

Authors:  Seitaro Oda; Kazuo Awai; Kohei Murao; Akio Ozawa; Daisuke Utsunomiya; Yumi Yanaga; Koichi Kawanaka; Yasuyuki Yamashita
Journal:  Acad Radiol       Date:  2011-01       Impact factor: 3.173

3.  Persistent pure ground-glass nodules in the lung: interscan variability of semiautomated volume and attenuation measurements.

Authors:  Chang Min Park; Jin Mo Goo; Hyun Ju Lee; Kwang Gi Kim; Mi-Jin Kang; Yong Hwan Shin
Journal:  AJR Am J Roentgenol       Date:  2010-12       Impact factor: 3.959

4.  A comparison of six software packages for evaluation of solid lung nodules using semi-automated volumetry: what is the minimum increase in size to detect growth in repeated CT examinations.

Authors:  Bartjan de Hoop; Hester Gietema; Bram van Ginneken; Pieter Zanen; Gerard Groenewegen; Mathias Prokop
Journal:  Eur Radiol       Date:  2008-11-19       Impact factor: 5.315

5.  Correlation between the size of the solid component on thin-section CT and the invasive component on pathology in small lung adenocarcinomas manifesting as ground-glass nodules.

Authors:  Kyung Hee Lee; Jin Mo Goo; Sang Joon Park; Jae Yeon Wi; Doo Hyun Chung; Heounjeong Go; Heae Surng Park; Chang Min Park; Sang Min Lee
Journal:  J Thorac Oncol       Date:  2014-01       Impact factor: 15.609

6.  Computer-aided volumetry of pulmonary nodules exhibiting ground-glass opacity at MDCT.

Authors:  Seitaro Oda; Kazuo Awai; Kohei Murao; Akio Ozawa; Yumi Yanaga; Koichi Kawanaka; Yasuyuki Yamashita
Journal:  AJR Am J Roentgenol       Date:  2010-02       Impact factor: 3.959

Review 7.  Ground-glass nodules on chest CT as imaging biomarkers in the management of lung adenocarcinoma.

Authors:  Jin Mo Goo; Chang Min Park; Hyun Ju Lee
Journal:  AJR Am J Roentgenol       Date:  2011-03       Impact factor: 3.959

Review 8.  Radiographic imaging of bronchioloalveolar carcinoma: screening, patterns of presentation and response assessment.

Authors:  David R Gandara; Denise Aberle; Derick Lau; James Jett; Tim Akhurst; Robert Heelan; James Mulshine; Christine Berg; Edward F Patz
Journal:  J Thorac Oncol       Date:  2006-11       Impact factor: 15.609

9.  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

Review 10.  A computer-aided diagnosis for evaluating lung nodules on chest CT: the current status and perspective.

Authors:  Jin Mo Goo
Journal:  Korean J Radiol       Date:  2011-03-03       Impact factor: 3.500

View more
  16 in total

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

Authors:  Julien G Cohen; Hyungjin Kim; Su Bin Park; Bram van Ginneken; Gilbert R Ferretti; Chang Hyun Lee; Jin Mo Goo; Chang Min Park
Journal:  Eur Radiol       Date:  2017-01-05       Impact factor: 5.315

2.  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

Review 3.  Quality assurance and quantitative imaging biomarkers in low-dose CT lung cancer screening.

Authors:  Chara E Rydzak; Samuel G Armato; Ricardo S Avila; James L Mulshine; David F Yankelevitz; David S Gierada
Journal:  Br J Radiol       Date:  2017-10-27       Impact factor: 3.039

4.  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

5.  Current perspectives for the size measurement of screening-detected lung nodules.

Authors:  Hyungjin Kim; Chang Min Park
Journal:  J Thorac Dis       Date:  2018-03       Impact factor: 2.895

6.  A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images.

Authors:  Jing Gong; Jiyu Liu; Wen Hao; Shengdong Nie; Bin Zheng; Shengping Wang; Weijun Peng
Journal:  Eur Radiol       Date:  2019-12-06       Impact factor: 5.315

7.  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

8.  Pulmonary subsolid nodules: value of semi-automatic measurement in diagnostic accuracy, diagnostic reproducibility and nodule classification agreement.

Authors:  Hyungjin Kim; Chang Min Park; Eui Jin Hwang; Su Yeon Ahn; Jin Mo Goo
Journal:  Eur Radiol       Date:  2017-12-01       Impact factor: 5.315

9.  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

10.  [Threshold Segmentation of Pulmonary Subsolid Nodules on CT Images:
Detection and Quantification of the Solid Component].

Authors:  Wensong Zheng; Qing Wang; Ying Wang; Fangfang Guo; Xinyue Wang; Tielian Yu
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2017-05-20
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.