Pulmonary nodules: Effect of increased data sampling on detection with spiral CT and confidence in diagnosis

Julie A. Buckley, William W. Scott, Stanley S. Siegelman, Janet E. Kuhlman, Bruce A. Urban, David A. Bluemke, Elliot K. Fishman

Research output: Contribution to journalArticlepeer-review

62 Scopus citations


PURPOSE: To compare spiral computed tomography (CT) with interscan spacing of 4-5 mm versus 8-10 mm for detection rate and level of confidence in diagnosis of pulmonary nodules. MATERIALS AND METHODS: Four radiologists (two junior and two senior faculty members) retrospectively reviewed 67 spiral CT studies with one to six nodules per study. Every second image was masked, which resulted in 8-mm sections every 8 or 10 mm; then all images reconstructed every 4 or 5 mm were reviewed. Lesions were classified as definite, probable, or possible. RESULTS: Narrow interscan spacing yielded more lesions overall (583 vs 566, P < .025) and more definite lesions and fewer equivocal lesions (482 vs 431 and 101 vs 135, respectively; P < .055). The greatest effects were in the reduction of possible lesions (50 vs 88, P < .001) and in the reduction of false-positive diagnoses made by less experienced radiologists. CONCLUSION: Increased reconstruction frequency of spiral CT volume data sets improves detection of pulmonary nodules and enhances confidence in the diagnosis.

Original languageEnglish (US)
Pages (from-to)395-400
Number of pages6
Issue number2
StatePublished - Aug 1995


  • Computed tomography (CT), helical
  • Computed tomography (CT), image processing
  • Lung, nodule

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


Dive into the research topics of 'Pulmonary nodules: Effect of increased data sampling on detection with spiral CT and confidence in diagnosis'. Together they form a unique fingerprint.

Cite this