Literature DB >> 24708191

Prognostic importance of volumetric measurements in stage I lung adenocarcinoma.

Masahiro Yanagawa1, Yuko Tanaka, Ann N Leung, Eiichi Morii, Masahiko Kusumoto, Shunichi Watanabe, Hirokazu Watanabe, Masayoshi Inoue, Meinoshin Okumura, Tomoko Gyobu, Ken Ueda, Osamu Honda, Hiromitsu Sumikawa, Takeshi Johkoh, Noriyuki Tomiyama.   

Abstract

PURPOSE: To perform volumetric analysis of stage I lung adenocarcinomas by using an automated computer program and to determine value of volumetric computed tomographic (CT) measurements associated with prognostic factors and outcome.
MATERIALS AND METHODS: Consecutive patients (n = 145) with stage I lung adenocarcinoma who underwent surgery after preoperative chest CT were enrolled. By using volumetric automated computer-assisted analytic program, nodules were classified into three subgroups: pure ground glass, part solid, or solid. Total tumor volume, solid tumor volume, and percentage of solid volume of each cancer were calculated after eliminating vessel components. One radiologist measured the longest diameter of the solid tumor component and of total tumor with their ratio, which was defined as solid proportion. The value of these quantitative data by examining associations with pathologic prognostic factors and outcome measures (disease-free survival and overall survival) were analyzed with logistic regression and Cox proportional hazards regression models, respectively. Significant parameters identified at univariate analysis were included in the multiple analyses.
RESULTS: All 22 recurrences occurred in patients with nodules classified as part solid or solid. Multiple logistic regression analysis revealed that percentage of solid volume of 63% or greater was an independent indicator associated with pleural invasion (P = .01). Multiple Cox proportional hazards regression analysis revealed that percentage of solid volume of 63% or greater was a significant indicator of lower disease-free survival (hazard ratio, 18.45 [95% confidence interval: 4.34, 78.49]; P < .001). Both solid tumor volume of 1.5 cm(3) or greater and percentage of solid volume of 63% or greater were significant indicators of decreased overall survival (hazard ratio, 5.92 and 9.60, respectively [95% confidence interval: 1.17, 30.33 and 1.17, 78.91, respectively]; P = .034 and .036, respectively).
CONCLUSION: Two volumetric measurements (solid volume, ≥1.5 cm(3); percentage of solid volume, ≥63%) were found to be independent indicators associated with increased likelihood of recurrence and/or death in patients with stage I adenocarcinoma.

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Year:  2014        PMID: 24708191     DOI: 10.1148/radiol.14131903

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  13 in total

1.  Predicting adenocarcinoma recurrence using computational texture models of nodule components in lung CT.

Authors:  Adrien Depeursinge; Masahiro Yanagawa; Ann N Leung; Daniel L Rubin
Journal:  Med Phys       Date:  2015-04       Impact factor: 4.071

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.  Controversies on lung cancers manifesting as part-solid nodules.

Authors:  Rowena Yip; Kunwei Li; Li Liu; Dongming Xu; Kathleen Tam; David F Yankelevitz; Emanuela Taioli; Betsy Becker; Claudia I Henschke
Journal:  Eur Radiol       Date:  2017-08-23       Impact factor: 5.315

4.  Preoperative Watchful-Waiting Time and Surgical Outcome of Patients with Non-small Cell Lung Cancer Found by Chest Low-Dose CT Screening.

Authors:  Takaomi Hanaoka; Makoto Kurai; Mitsuyo Okada; Satoshi Ishizone; Fumitoshi Karasawa; Akira Iizuka
Journal:  World J Surg       Date:  2018-07       Impact factor: 3.352

Review 5.  Volumetric analysis at abdominal CT: oncologic and non-oncologic applications.

Authors:  Virginia B Planz; Meghan G Lubner; Perry J Pickhardt
Journal:  Br J Radiol       Date:  2018-11-30       Impact factor: 3.039

6.  Computer-Aided Nodule Assessment and Risk Yield Risk Management of Adenocarcinoma: The Future of Imaging?

Authors:  Finbar Foley; Srinivasan Rajagopalan; Sushravya M Raghunath; Jennifer M Boland; Ronald A Karwoski; Fabien Maldonado; Brian J Bartholmai; Tobias Peikert
Journal:  Semin Thorac Cardiovasc Surg       Date:  2016-01-08

7.  Baseline and annual repeat rounds of screening: implications for optimal regimens of screening.

Authors:  Claudia I Henschke; Mary Salvatore; Matthew Cham; Charles A Powell; Larry DiFabrizio; Raja Flores; Andrew Kaufman; Corey Eber; Rowena Yip; David F Yankelevitz
Journal:  Eur Radiol       Date:  2017-10-05       Impact factor: 5.315

8.  [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

Review 9.  Advances in intelligent diagnosis methods for pulmonary ground-glass opacity nodules.

Authors:  Jing Yang; Hailin Wang; Chen Geng; Yakang Dai; Jiansong Ji
Journal:  Biomed Eng Online       Date:  2018-02-07       Impact factor: 2.819

Review 10.  Variability and Standardization of Quantitative Imaging: Monoparametric to Multiparametric Quantification, Radiomics, and Artificial Intelligence.

Authors:  Akifumi Hagiwara; Shohei Fujita; Yoshiharu Ohno; Shigeki Aoki
Journal:  Invest Radiol       Date:  2020-09       Impact factor: 10.065

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