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Incremental value of integrated FDG-PET/CT in evaluating indeterminate solitary pulmonary nodule for malignancy

  • Chih Yung Chang
  • , Ching Tzao
  • , Shih Chun Lee
  • , Cheng Yi Cheng
  • , Chang Hsien Liu
  • , Wen Sheng Huang
  • , Chih Hung Ku
  • , Jong Kang Lee
  • , Ching Yee Oliver Wong

Research output: Contribution to journalArticlepeer-review

Abstract

Objectives: The objective of this study was to evaluate the increased diagnostic benefit of integrated positron emission tomography/computed tomography (PET/CT) interpretation in evaluating solitary pulmonary nodules for malignancy. Methods: One hundred seventeen patients (67 men and 50 women; mean age ± SD, 61.7± 13.6 years, range, 31-86 years) with indeterminate solitary pulmonary nodules and no previous history of malignancy were analyzed. PET/CT was performed with an integrated PET/CT scanner (Siemens Biograph BGO duo) 1 h after an intravenous injection of 370 MBq (10 mCi) 18F- fluorodeoxyglucose. Patients fasted for 6 h before imaging. PET was interpreted alone or combined with CT and was graded according to a five-point scale. A malignant diagnosis was based on histological findings or a clinical and radiological follow-up after at least 24 months. The diagnostic performances of PET alone and integrated PET/CT interpretation were evaluated using discriminant analysis. Results: PET alone correctly classified 85% of nodules and integrated PET/CT interpretation increased the correct classification to 89%, with similar sensitivity and specificity of 88% and 89%, respectively. False-positive PET results mainly resulted from granulomatous disorders. Four (50%) of the eight cases deemed indeterminate on PET alone were resolved with combined PET/CT interpretation. Conclusions: Although the benefit attributable to the CT component was limited when integrated PET/CT was used, PET and CT acted synergistically to significantly increase the diagnostic veracity for PET-indeterminate nodules.

Original languageEnglish
Pages (from-to)204-209
Number of pages6
JournalMolecular Imaging and Biology
Volume12
Issue number2
DOIs
Publication statusPublished - Apr 2010
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • FDG
  • Lung cancer
  • PET/CT
  • Solitary pulmonary nodule

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Cancer Research

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