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Original Research |
1 Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave.,
Milwaukee, WI 53226-3596.
2 Present address: Department of Radiology, Hacettepe University Faculty of
Medicine, Sihhiye, Ankara 06100, Turkey.
3 Present address: Department of Radiology, University of Maryland Medical
System, Baltimore, MD 21201.
4 GE Healthcare, Waukesha, WI 53188.
OBJECTIVE. The objective of our study was to evaluate repeatability and reproducibility of lung nodule volume measurements using volumetric nodule-sizing software.
MATERIALS AND METHODS. Fifty nodules, less than 20 mm in diameter, in 29 patients were scanned with 1.25-mm collimation using MDCT (time 1 = T1). During the same session, two additional scans, using identical technique, were obtained through each nodule (T2, T3). Three observers working independently then obtained volumetric measurements using a semiautomated volumetric nodule-sizing software package. Qualitative nodule characterization was also performed. The Bland-Altman method for assessing measurement agreement was used to calculate the 95% limits for agreement for nodule volumes at T1, T2, and T3.
RESULTS. Automated nodule segmentation was successful in 438 (97%) of 450 measurements. Forty-three nodules were available for final evaluation. Twenty-six nodules had well-defined edges, and 17 had irregular or spiculated margins. Seventeen were freestanding, 16 were juxtapleural, and 10 were juxtavascular in location. Average nodule volume was 345.5 mm3 (range, 49.3–1,434 mm3). The mean interobserver variability (repeatability) was 0.018% (SD = 0.73%), and the SD of the mean for the three contemporaneous scans (reproducibility) was 13.1% (confidence limits, ± 25.6%). SD and confidence limits narrowed as volumes increased.
CONCLUSION. Volumetric measurements show minimal interobserver variability (0.018%) but an interscan SEM of 13.1% (confidence limits, ± 25.6%). Repeatability and reproducibility of volumetric measurements are better than those of linear measurements reported in the literature.
Keywords: chest imaging • CT • CT image processing • CT technique • lung • lung cancer • lung nodule
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