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PMID: 19380692 Published · ppublish English Journal Article Multicenter Study Randomized Controlled Trial Research Support, Non-U.S. Gov't

Pulmonary nodules: volume repeatability at multidetector CT lung cancer screening.

Radiology ·Vol. 251 ·No. 3 ·2009-06-00 ·Pages 919-25

Marchianò A, Calabrò E, Civelli E, Di Tolla G, Frigerio LF, Morosi C, Tafaro F, Ferri E, Sverzellati N, Camerini T, Mariani L, Lo Vullo S, Pastorino U

Abstract

To assess in vivo volumetric repeatability of an automated software algorithm in pulmonary nodules detected during a lung cancer screening trial. This study was approved by an institutional review board. Written informed consent was obtained from all participants. Data were collected from the Multicentric Italian Lung Detection project, a randomized controlled lung cancer screening trial. The first 1236 consecutive baseline computed tomographic (CT) studies performed at the Istituto Nazionale Tumori of Milan were evaluated. Among the enrolled participants, those who underwent repeat low-dose CT after 3 months and had at least one indeterminate nodule with a volume of more than 60 mm(3) (diameter of 4.8 mm or greater) were considered. Nonsolid, part-solid, and pleural-based nodules were excluded from this study. A descriptive analysis was performed by calculating means and standard deviations of nodule volumes at three assessment times (at baseline and 3 and 12 months later). The volume measurement repeatability was determined by using the approach described by Bland and Altman. One hundred one subjects (70 men, 31 women; mean age, 58 years) with 233 eligible nodules (mean volume, 98.3 mm(3); range, 5-869 mm(3)) were identified. The 95% confidence interval for difference in measured volumes was in the range of +/-27%. About 70% of measurements had a relative difference in nodule volume of less than 10%. No malignant lesions were registered during the follow-up of these subjects. Semiautomatic volumetry is sufficiently accurate and repeatable and may be useful in assisting with lung nodule management in a lung cancer screening program.

MeSH Terms
Aged Algorithms Analysis of Variance Female Humans Italy Lung Neoplasms/diagnostic imaging,pathology Male Middle Aged Reproducibility of Results Solitary Pulmonary Nodule/diagnostic imaging,pathology Tomography, X-Ray Computed/methods
Authors & Affiliations
13 authors, click to expand affiliations / ORCID
Marchianò Alfonso
Department of Diagnostic Imaging and Radiotherapy, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133 Milan, Italy. alfonso.marchiano@istitutotumori.mi.it
Calabrò Elisa
Civelli Enrico
Di Tolla Giuseppe
Frigerio Laura Francesca
Morosi Carlo
Tafaro Francesco
Ferri Elena
Sverzellati Nicola
Camerini Tiziana
Mariani Luigi
Lo Vullo Salvatore
Pastorino Ugo
Article Info
Journal
Radiology
Abbr.
Radiology
ISSN
1527-1315
Published
2009-06-00
Epub
2009-00-20
Pages
919-25
Language
English
Region
United States
NLM ID
0401260
Subset
IM
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