Literature DB >> 12009240

Prognostic significance of high-resolution CT findings in small peripheral adenocarcinoma of the lung: a retrospective study on 64 patients.

Shodayu Takashima1, Yuichiro Maruyama, Minoru Hasegawa, Takeshi Yamanda, Takayuki Honda, Masumi Kadoya, Shusuke Sone.   

Abstract

OBJECTIVE: We studied the prognostic importance of high-resolution CT (HRCT) findings in lung adenocarcinomas. PATIENTS AND METHODS: HRCT findings (lesion size, percentage of ground-glass opacity (GGO) areas of lesion, and presence or absence of lobulation, coarse spiculation, air space, pleural tag, and multiplicity of lesion), clinical data (age and surgical method), and pathologic findings (tumor subtypes and presence or absence of nodal metastasis) in 64 consecutive patients with 64 peripheral adenocarcinomas of 20 mm or less (mean, 13 mm), including 36 women and 28 men with a mean age of 64 years were analyzed and correlated with survival of the patients using Kaplan-Meier method and stepwise Cox proportional hazards modeling. Follow-up periods of the patients ranged from 6 to 45 months (mean, 22 months). Tumors were classified into six subtypes (types A-F) according to tumor growth patterns defined by Noguchi et al.
RESULTS: Six (9%) of the 64 patients died of lung cancer. In univariate analyses, a significant difference was noted for lesion size (P=0.043), the percentage of GGO areas (P=0.005), and tumor subtypes (P=0.006). Lesion size of <15 mm (n=35), a lesion with GGO areas of >57% (n=36), and type A (n=16) or type B adenocarcinomas (n=16) indicated a significantly better survival. In multivariate analyses using these three parameters as independent variables, the percentage of GGO areas was the only significant independent factor for survival (P=0.044, relative risk=0.95).
CONCLUSION: GGO areas measured on HRCT may have an independent prognostic significance of small adenocarcinomas of the lung.

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Year:  2002        PMID: 12009240     DOI: 10.1016/s0169-5002(01)00489-5

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  23 in total

1.  Association Between Computed Tomographic Features and Kirsten Rat Sarcoma Viral Oncogene Mutations in Patients With Stage I Lung Adenocarcinoma and Their Prognostic Value.

Authors:  Hua Wang; Matthew B Schabath; Ying Liu; Olya Stringfield; Yoganand Balagurunathan; John J Heine; Steven A Eschrich; Zhaoxiang Ye; Robert J Gillies
Journal:  Clin Lung Cancer       Date:  2015-11-12       Impact factor: 4.785

2.  Semiquantitative Computed Tomography Characteristics for Lung Adenocarcinoma and Their Association With Lung Cancer Survival.

Authors:  Hua Wang; Matthew B Schabath; Ying Liu; Anders E Berglund; Gregory C Bloom; Jongphil Kim; Olya Stringfield; Edward A Eikman; Donald L Klippenstein; John J Heine; Steven A Eschrich; Zhaoxiang Ye; Robert J Gillies
Journal:  Clin Lung Cancer       Date:  2015-05-27       Impact factor: 4.785

Review 3.  International association for the study of lung cancer/american thoracic society/european respiratory society international multidisciplinary classification of lung adenocarcinoma.

Authors:  William D Travis; Elisabeth Brambilla; Masayuki Noguchi; Andrew G Nicholson; Kim R Geisinger; Yasushi Yatabe; David G Beer; Charles A Powell; Gregory J Riely; Paul E Van Schil; Kavita Garg; John H M Austin; Hisao Asamura; Valerie W Rusch; Fred R Hirsch; Giorgio Scagliotti; Tetsuya Mitsudomi; Rudolf M Huber; Yuichi Ishikawa; James Jett; Montserrat Sanchez-Cespedes; Jean-Paul Sculier; Takashi Takahashi; Masahiro Tsuboi; Johan Vansteenkiste; Ignacio Wistuba; Pan-Chyr Yang; Denise Aberle; Christian Brambilla; Douglas Flieder; Wilbur Franklin; Adi Gazdar; Michael Gould; Philip Hasleton; Douglas Henderson; Bruce Johnson; David Johnson; Keith Kerr; Keiko Kuriyama; Jin Soo Lee; Vincent A Miller; Iver Petersen; Victor Roggli; Rafael Rosell; Nagahiro Saijo; Erik Thunnissen; Ming Tsao; David Yankelewitz
Journal:  J Thorac Oncol       Date:  2011-02       Impact factor: 15.609

4.  Accuracy of CT parameters for assessment of tumour size and aggressiveness in lung adenocarcinoma with bronchoalveolar elements.

Authors:  U N Bhure; D Lardinois; V Kalff; T F Hany; A Soltermann; B Seifert; H C Steinert
Journal:  Br J Radiol       Date:  2010-10       Impact factor: 3.039

5.  Port-access thoracoscopic anatomical lung subsegmentectomy.

Authors:  Hirohisa Kato; Hiroyuki Oizumi; Takashi Inoue; Eiichi Oba; Ken Nakamura; Jun Hayashi; Hikaru Watarai; Takumi Yasumoto; Mitsuaki Sadahiro
Journal:  Interact Cardiovasc Thorac Surg       Date:  2013-02-20

Review 6.  Characterization of small pulmonary nodules by CT.

Authors:  Dag Wormanns; Stefan Diederich
Journal:  Eur Radiol       Date:  2004-05-18       Impact factor: 5.315

7.  Invasive size is an independent predictor of survival in pulmonary adenocarcinoma.

Authors:  Alain C Borczuk; Fang Qian; Angeliki Kazeros; Jennifer Eleazar; Adel Assaad; Joshua R Sonett; Mark Ginsburg; Lyall Gorenstein; Charles A Powell
Journal:  Am J Surg Pathol       Date:  2009-03       Impact factor: 6.394

8.  Computer-aided diagnosis of lung cancer: definition and detection of ground-glass opacity type of nodules by high-resolution computed tomography.

Authors:  Tohru Okada; Shingo Iwano; Takeo Ishigaki; Takayuki Kitasaka; Yasushi Hirano; Kensaku Mori; Yasuhito Suenaga; Shinji Naganawa
Journal:  Jpn J Radiol       Date:  2009-03-12       Impact factor: 2.374

9.  Detection of lung cancer using single-exposure dual-energy subtraction chest radiography.

Authors:  Kana Ide; Hiroshi Mogami; Tadashi Murakami; Yoshifumi Yasuhara; Masao Miyagawa; Teruhito Mochizuki
Journal:  Radiat Med       Date:  2007-06-27

10.  Kurtosis and skewness assessments of solid lung nodule density histograms: differentiating malignant from benign nodules on CT.

Authors:  Ayano Kamiya; Sadayuki Murayama; Hisashi Kamiya; Tsuneo Yamashiro; Yasuji Oshiro; Nobuyuki Tanaka
Journal:  Jpn J Radiol       Date:  2013-11-19       Impact factor: 2.374

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