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Primary interpretation of thoracic MDCT images using coronal reformations.

Publication ,  Journal Article
Kwan, SW; Partik, BL; Zinck, SE; Chan, FP; Kee, ST; Leung, AN; Voracek, M; Rubin, GD
Published in: AJR Am J Roentgenol
December 2005

OBJECTIVE: The objective of this study was to evaluate the accuracy and efficiency of primary interpretation of thoracic MDCT using coronal reformations as compared with transverse images. SUBJECTS AND METHODS: Fifty patients (18 females, 32 males; age range, 15-93 years; mean age, 63.6 years) underwent 4-MDCT of the chest (detector width, 1 mm; beam pitch, 1.5). Contrast material was administered in 20 of the 50 patients. Coronal and transverse sections were reformatted into 5-mm-thick sections at 3.5-mm intervals. All available image and clinical data consensually reviewed by two thoracic radiologists served as the reference standard. Subsequently, three other thoracic radiologists independently evaluated reformatted coronal and transverse images at two separate review sessions. Each image set was assessed in 58 categories for abnormalities of the lungs, mediastinum, pleura, chest wall, diaphragm, abdomen, and skeleton. Interpretation times and number of images assessed were recorded. Sensitivity, specificity, and interobserver concordance were calculated. Differences in mean sensitivities and specificities were evaluated with Wilcoxon's signed rank test. RESULTS: The most common findings identified were pulmonary nodules (n = 73, transverse images; n = 72, coronal images) and emphysema (n = 45, transverse; n = 40, coronal). The mean detection sensitivity of all lesions was significantly (p = 0.001) lower on coronal (44% +/- 26% [SD]) than on transverse (51% +/- 22%) images, whereas the mean detection specificity was significantly (p = 0.005) higher (96% +/- 5% vs 95% +/- 6%, respectively). Reporting findings for significantly (p < 0.001) fewer coronal images (mean, 63.0 +/- 4.6 images) than transverse images (mean, 91.9 +/- 8.8 images) took significantly (p = 0.025) longer (mean, 263 +/- 56 sec vs 238 +/- 45 sec, respectively). CONCLUSION: Primary interpretation of thoracic MDCT is less sensitive and more time-consuming using 5-mm-thick coronal reformations as compared with transverse images.

Duke Scholars

Published In

AJR Am J Roentgenol

DOI

ISSN

0361-803X

Publication Date

December 2005

Volume

185

Issue

6

Start / End Page

1500 / 1508

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Statistics, Nonparametric
  • Sensitivity and Specificity
  • Radiography, Thoracic
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Image Processing, Computer-Assisted
  • Humans
  • Female
  • Contrast Media
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Kwan, S. W., Partik, B. L., Zinck, S. E., Chan, F. P., Kee, S. T., Leung, A. N., … Rubin, G. D. (2005). Primary interpretation of thoracic MDCT images using coronal reformations. AJR Am J Roentgenol, 185(6), 1500–1508. https://doi.org/10.2214/AJR.04.1335
Kwan, Sharon W., Bernhard L. Partik, Steven E. Zinck, Frandics P. Chan, Stephen T. Kee, Ann N. Leung, Martin Voracek, and Geoffrey D. Rubin. “Primary interpretation of thoracic MDCT images using coronal reformations.AJR Am J Roentgenol 185, no. 6 (December 2005): 1500–1508. https://doi.org/10.2214/AJR.04.1335.
Kwan SW, Partik BL, Zinck SE, Chan FP, Kee ST, Leung AN, et al. Primary interpretation of thoracic MDCT images using coronal reformations. AJR Am J Roentgenol. 2005 Dec;185(6):1500–8.
Kwan, Sharon W., et al. “Primary interpretation of thoracic MDCT images using coronal reformations.AJR Am J Roentgenol, vol. 185, no. 6, Dec. 2005, pp. 1500–08. Pubmed, doi:10.2214/AJR.04.1335.
Kwan SW, Partik BL, Zinck SE, Chan FP, Kee ST, Leung AN, Voracek M, Rubin GD. Primary interpretation of thoracic MDCT images using coronal reformations. AJR Am J Roentgenol. 2005 Dec;185(6):1500–1508.

Published In

AJR Am J Roentgenol

DOI

ISSN

0361-803X

Publication Date

December 2005

Volume

185

Issue

6

Start / End Page

1500 / 1508

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Statistics, Nonparametric
  • Sensitivity and Specificity
  • Radiography, Thoracic
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Image Processing, Computer-Assisted
  • Humans
  • Female
  • Contrast Media