Literature DB >> 22814723

Characteristics of subsolid pulmonary nodules showing growth during follow-up with CT scanning.

Haruhisa Matsuguma1, Kiyoshi Mori2, Rie Nakahara3, Haruko Suzuki3, Takashi Kasai2, Yukari Kamiyama2, Seiji Igarashi4, Tetsuro Kodama2, Kohei Yokoi5.   

Abstract

OBJECTIVE: The positive results of a screening CT scan trial are likely to lead to an increase in the use of CT scanning, and, consequently, an increase in the detection of subsolid nodules. Noninvasive methods including follow-up with CT scanning, to determine which nodules require invasive diagnosis and surgical treatment, should be defined promptly.
METHODS: Between 2000 and 2008, from our database of . 60,000 examinations with CT scanning, we identified 174 subsolid nodules, which showed a ground-glass opacity area . 20% of the nodule and measured 2 cm in diameter, in 171 patients. We investigated the clinical characteristics and CT images of the subsolid nodules in relation to changes identified during the follow-up period.
RESULTS: The nodule sizes ranged from 4 mm to 20 mm at the fi rst presentation. Nonsolid nodules numbered 98. During the follow-up period, 18 nodules showed resolution or shrinkage, and 41 showed growth of 2 mm or more in diameter. The time to 2-mm nodule-growth curves calculated by Kaplan-Meier methods indicated that the 2-year and 5-year cumulative percentages of growing nodules were 13% and 23% in patients with nonsolid nodules and 38% and 55% in patients with part-solid nodules, respectively. Multivariate analysis disclosed that a large nodule size ( . 10 mm) and history of lung cancer were significant predictive factors of growth in nonsolid nodules.
CONCLUSIONS: An effective schedule for follow-up with CT scanning for subsolid nodules should be developed according to the type of subsolid nodule, initial nodule size, and history of lung cancer.

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Year:  2013        PMID: 22814723     DOI: 10.1378/chest.11-3306

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  39 in total

1.  Persistent pulmonary subsolid nodules with solid portions of 5 mm or smaller: Their natural course and predictors of interval growth.

Authors:  Jong Hyuk Lee; Chang Min Park; Sang Min Lee; Hyungjin Kim; H Page McAdams; Jin Mo Goo
Journal:  Eur Radiol       Date:  2015-09-18       Impact factor: 5.315

2.  Growth of pure ground-glass lung nodule detected at computed tomography.

Authors:  Takatoshi Aoki
Journal:  J Thorac Dis       Date:  2015-09       Impact factor: 2.895

3.  What do we know about ground-glass opacity nodules in the lung?

Authors:  Choon-Taek Lee
Journal:  Transl Lung Cancer Res       Date:  2015-10

4.  Solitary peribronchiolar metaplasia showing a sub-solid nodule on computed tomography.

Authors:  Yoshiyuki Yasuura; Hiroyuki Kayata; Kiyomichi Mizuno; Naoko Miyata; Hideaki Kojima; Mitsuhiro Isaka; Ichiro Ito; Yasuhisa Ohde; Masahiro Endo; Takashi Nakajima
Journal:  Gen Thorac Cardiovasc Surg       Date:  2019-02-26

Review 5.  Pulmonary subsolid nodules: what radiologists need to know about the imaging features and management strategy.

Authors:  Hyungjin Kim; Chang Min Park; Jae Moon Koh; Sang Min Lee; Jin Mo Goo
Journal:  Diagn Interv Radiol       Date:  2014 Jan-Feb       Impact factor: 2.630

6.  Longitudinal evolution of incidentally detected solitary pure ground-glass nodules on CT: relation to clinical metrics.

Authors:  Mario Silva; Alexander A Bankier; Francesco Centra; Davide Colombi; Luca Ampollini; Paolo Carbognani; Nicola Sverzellati
Journal:  Diagn Interv Radiol       Date:  2015 Sep-Oct       Impact factor: 2.630

Review 7.  Management of ground-glass opacities: should all pulmonary lesions with ground-glass opacity be surgically resected?

Authors:  Yoshihisa Kobayashi; Tetsuya Mitsudomi
Journal:  Transl Lung Cancer Res       Date:  2013-10

8.  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

9.  Radiological Image Traits Predictive of Cancer Status in Pulmonary Nodules.

Authors:  Ying Liu; Yoganand Balagurunathan; Thomas Atwater; Sanja Antic; Qian Li; Ronald C Walker; Gary T Smith; Pierre P Massion; Matthew B Schabath; Robert J Gillies
Journal:  Clin Cancer Res       Date:  2016-09-23       Impact factor: 12.531

10.  Natural history of pathologically confirmed pulmonary subsolid nodules with deep learning-assisted nodule segmentation.

Authors:  Lin-Lin Qi; Jian-Wei Wang; Lin Yang; Yao Huang; Shi-Jun Zhao; Wei Tang; Yu-Jing Jin; Ze-Wei Zhang; Zhen Zhou; Yi-Zhou Yu; Yi-Zhou Wang; Ning Wu
Journal:  Eur Radiol       Date:  2020-11-21       Impact factor: 5.315

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