Literature DB >> 12704034

Indeterminate solitary pulmonary nodules revealed at population-based CT screening of the lung: using first follow-up diagnostic CT to differentiate benign and malignant lesions.

Shodayu Takashima1, Shusuke Sone, Feng Li, Yuichiro Maruyama, Minoru Hasegawa, Masumi Kadoya.   

Abstract

OBJECTIVE: We studied the role of the first follow-up diagnostic CT for differentiating benign and malignant lesions in indeterminate solitary pulmonary nodules revealed at CT screening for lung cancer in which a total of 13,786 CT examinations (46% in women and 54% in men; 46% were smokers; mean age, 62 years) were performed.
MATERIALS AND METHODS: We reviewed thin-section CT findings on the initial diagnostic CT (lesion size; percentages of ground-glass-opacity areas of lesion; and presence or absence of lobulation, spiculation, air bronchogram, cavity, satellite lesions, pleural tag, concave margins, polygonal shape, and peripheral subpleural lesion) in 80 pulmonary nodules (36 malignancies and 44 benign lesions) of 80 patients. We evaluated changes in size (regression, no change, or growth) on the first follow-up CT performed 42-120 days (mean, 93 days) after the initial CT.
RESULTS: The greatest accuracy (81%) with 89% sensitivity and 75% specificity for determining malignancy was attained with a combined criterion of growth of lesions or predominantly ground-glass-opacity lesions. Of all criteria that were specific to malignancy, the greatest sensitivity (50%) was achieved with a combination of growth or no change in size of lesions and predominantly ground-glass opacity and no concave margins. Of all criteria that were specific to benign lesions, the greatest sensitivity (45%) was attained with a combination of lesion regression or polygonal shape.
CONCLUSION: Follow-up CT findings were useful, and a combination of findings on initial CT and follow-up CT was optimal for differentiating benign and malignant pulmonary nodules.

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Year:  2003        PMID: 12704034     DOI: 10.2214/ajr.180.5.1801255

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  22 in total

1.  Improved pulmonary nodule classification utilizing quantitative lung parenchyma features.

Authors:  Samantha K N Dilger; Johanna Uthoff; Alexandra Judisch; Emily Hammond; Sarah L Mott; Brian J Smith; John D Newell; Eric A Hoffman; Jessica C Sieren
Journal:  J Med Imaging (Bellingham)       Date:  2015-09-01

2.  Detection of pulmonary nodules at multirow-detector CT: effectiveness of double reading to improve sensitivity at standard-dose and low-dose chest CT.

Authors:  Dag Wormanns; Karl Ludwig; Florian Beyer; Walter Heindel; Stefan Diederich
Journal:  Eur Radiol       Date:  2004-11-04       Impact factor: 5.315

3.  Accuracy of automated volumetry of pulmonary nodules across different multislice CT scanners.

Authors:  Marco Das; Julia Ley-Zaporozhan; H A Gietema; Andre Czech; Georg Mühlenbruch; Andreas H Mahnken; Markus Katoh; Annemarie Bakai; Marcos Salganicoff; Stefan Diederich; Mathias Prokop; Hans-Ulrich Kauczor; Rolf W Günther; Joachim E Wildberger
Journal:  Eur Radiol       Date:  2007-01-06       Impact factor: 5.315

Review 4.  Management of an incidentally discovered pulmonary nodule.

Authors:  Catherine Beigelman-Aubry; Catherine Hill; Philippe A Grenier
Journal:  Eur Radiol       Date:  2006-10-05       Impact factor: 5.315

5.  Clinical characteristics and outcomes of patients with small cell lung cancer detected by CT screening.

Authors:  Toshirou Fukushima; Kazunari Tateishi; Hiroshi Yamamoto; Masayuki Hanaoka; Keishi Kubo; Tomonobu Koizumi
Journal:  Med Oncol       Date:  2013-06-06       Impact factor: 3.064

Review 6.  European and North American lung cancer screening experience and implications for pulmonary nodule management.

Authors:  Arjun Nair; David M Hansell
Journal:  Eur Radiol       Date:  2011-08-10       Impact factor: 5.315

7.  CT characteristics and pathological implications of early stage (T1N0M0) lung adenocarcinoma with pure ground-glass opacity.

Authors:  Xin Jin; Shao-hong Zhao; Jie Gao; Dian-jun Wang; Jian Wu; Chong-chong Wu; Rui-ping Chang; Hai-yue Ju
Journal:  Eur Radiol       Date:  2015-03-01       Impact factor: 5.315

8.  Comparison Between Radiological Semantic Features and Lung-RADS in Predicting Malignancy of Screen-Detected Lung Nodules in the National Lung Screening Trial.

Authors:  Qian Li; Yoganand Balagurunathan; Ying Liu; Jin Qi; Matthew B Schabath; Zhaoxiang Ye; Robert J Gillies
Journal:  Clin Lung Cancer       Date:  2017-10-13       Impact factor: 4.785

9.  Evolution of the subsolid pulmonary nodule: a retrospective study in patients with different neoplastic diseases in a nonscreening clinical context.

Authors:  Domenico Attinà; Fabio Niro; Margherita Stellino; Federica Ciccarese; Giangaspare Mineo; Nicola Sverzellati; Maurizio Zompatori
Journal:  Radiol Med       Date:  2013-05-27       Impact factor: 3.469

Review 10.  Characterization of small pulmonary nodules by CT.

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

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