Literature DB >> 17466475

Pulmonary adenocarcinomas with ground-glass attenuation on thin-section CT: quantification by three-dimensional image analyzing method.

Hiromitsu Sumikawa1, Takeshi Johkoh, Tomofumi Nagareda, Junko Sekiguchi, Kumiko Matsuo, Yuka Fujita, Javzandulam Natsag, Atsuo Inoue, Naoki Mihara, Osamu Honda, Noriyuki Tomiyama, Masato Minami, Meinoshin Okumura, Hironobu Nakamura.   

Abstract

PURPOSE: The purpose of this study was to evaluate software designed to calculate whole tumor volumes and the ratio of the solid component to whole volume (%solid) in pulmonary nodules with ground-glass opacity in three dimensions.
METHODS: The study included 49 patients with histologically diagnosed adenocarcinomas smaller than 2 cm in diameter. The %solid was calculated both automatically using new software, and by manual measurement of the following four parameters by two observers: the ratio of the largest diameter (a) and the area (b) at the mediastinal window to those at the lung window, and the ratio of the largest diameter (c) and the area (d) of the solid component to those of the ground-glass component at the lung window. Agreement of intra- and inter-observer data by both Spearman's rank correlation test and Bland-Altman's method, and a comparison by Spearman's rank correlation test of the %solid in both Noguchi sub-classifications and vessel invasion in histologic specimens, between the software and manual methods, were assessed.
RESULTS: Of the 49 nodules, 48 were successfully measured and assessed. The agreement of the observers with the software was better (Bland-Altman's method; mean difference, -0.3%; 95% limits of agreement, -3.1 to 2.5%) than with the manual measurements (a: 5.3%, -17.6 to 28.3%; b: 8.3%, -10.6 to 26.9%; c: 10.7%, -17.6 to 39%; d: 6.4%, -22 to 34.8%). The correlation between %solid and the histological group was worse with the software (Spearman's rank correlation test; r=0.487, p<0.001) than with the manual method (a, r=0.534; b, r=0.557; c, r=0.552; d, r=0.545).
CONCLUSION: Although the software requires improvement in the calculation of %solid with volumetric analysis, this is a reproducible and promising quantitative method for determining the grades of malignancy of small lung cancers.

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Mesh:

Year:  2007        PMID: 17466475     DOI: 10.1016/j.ejrad.2007.03.013

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  6 in total

1.  Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation.

Authors:  Ernst Th Scholten; Colin Jacobs; Bram van Ginneken; Sarah van Riel; Rozemarijn Vliegenthart; Matthijs Oudkerk; Harry J de Koning; Nanda Horeweg; Mathias Prokop; Hester A Gietema; Willem P Th M Mali; Pim A de Jong
Journal:  Eur Radiol       Date:  2014-10-07       Impact factor: 5.315

2.  Pulmonary ground-glass nodules diagnosis: mean change rate of peak CT number as a discriminative factor of pathology during a follow-up.

Authors:  Mingzheng Peng; Zhao Li; Haiyang Hu; Sida Liu; Binbin Xu; Wenzhuo Zhu; Yudong Han; Liwen Xiong; Qiang Lin
Journal:  Br J Radiol       Date:  2015-11-12       Impact factor: 3.039

3.  Clinical impact of high-attenuation and cystic areas on computed tomography in fibrotic idiopathic interstitial pneumonias.

Authors:  Kiminobu Tanizawa; Tomohiro Handa; Sonoko Nagai; Toyohiro Hirai; Takeshi Kubo; Tsuyoshi Oguma; Isao Ito; Yutaka Ito; Kizuku Watanabe; Kensaku Aihara; Kohei Ikezoe; Toru Oga; Kazuo Chin; Takateru Izumi; Michiaki Mishima
Journal:  BMC Pulm Med       Date:  2015-07-24       Impact factor: 3.317

4.  Three-Dimensional Ground Glass Opacity Ratio in CT Images Can Predict Tumor Invasiveness of Stage IA Lung Cancer.

Authors:  Woo Sik Yu; Sae Rom Hong; Jin Gu Lee; Jae Seok Lee; Hee Suk Jung; Dae Joon Kim; Kyung Young Chung; Chang Young Lee
Journal:  Yonsei Med J       Date:  2016-09       Impact factor: 2.759

5.  Solitary ground-glass opacity nodules of stage IA pulmonary adenocarcinoma: combination of 18F-FDG PET/CT and high-resolution computed tomography features to predict invasive adenocarcinoma.

Authors:  Jun Zhou; Yanli Li; Yiqiu Zhang; Guobing Liu; Hui Tan; Yan Hu; Jie Xiao; Hongcheng Shi
Journal:  Oncotarget       Date:  2017-04-04

6.  Stage I lung adenocarcinoma: the value of quantitative CT in differentiating pathological subtypes and predicting growth of subsolid nodules.

Authors:  Xianqun Xu; Kaisong Wu; Yanyan Zhao; Liejun Mei
Journal:  Medicine (Baltimore)       Date:  2017-04       Impact factor: 1.889

  6 in total

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