Impact of solitary pulmonary nodule size on qualitative and quantitative assessment using 18F-fluorodeoxyglucose PET/CT: the SPUTNIK trial

Jonathan Weir-Mccall, S Harris, KA Miles, N. R. Qureshi, Robert C. Rintoul, Sabina Dizdarevic, Lucy Pike, Heok K Cheow, Fiona J. Gilbert

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

Purpose: To compare qualitative and semi-quantitative PET/CT criteria, and the impact of nodule size on the diagnosis of solitary pulmonary nodules in a prospective multicentre trial. Methods: Patients with an SPN on CT ≥ 8 and ≤ 30 mm were recruited to the SPUTNIK trial at 16 sites accredited by the UK PET Core Lab. Qualitative assessment used a five-point ordinal PET-grade compared to the mediastinal blood pool, and a combined PET/CT grade using the CT features. Semi-quantitative measures included SUVmax of the nodule, and as an uptake ratio to the mediastinal blood pool (SUR BLOOD) or liver (SUR LIVER). The endpoints were diagnosis of lung cancer via biopsy/histology or completion of 2-year follow-up. Impact of nodule size was analysed by comparison between nodule size tertiles. Results: Three hundred fifty-five participants completed PET/CT and 2-year follow-up, with 59% (209/355) malignant nodules. The AUCs of the three techniques were SUVmax 0.87 (95% CI 0.83;0.91); SUR BLOOD 0.87 (95% CI 0.83; 0.91, p = 0.30 versus SUVmax); and SUR LIVER 0.87 (95% CI 0.83; 0.91, p = 0.09 vs. SUVmax). The AUCs for all techniques remained stable across size tertiles (p > 0.1 for difference), although the optimal diagnostic threshold varied by size. For nodules < 12 mm, an SUVmax of 1.75 or visual uptake equal to the mediastinum yielded the highest accuracy. For nodules > 16 mm, an SUVmax ≥ 3.6 or visual PET uptake greater than the mediastinum was the most accurate. Conclusion: In this multicentre trial, SUVmax was the most accurate technique for the diagnosis of solitary pulmonary nodules. Diagnostic thresholds should be altered according to nodule size. Trial registration: ISRCTN - ISRCTN30784948. ClinicalTrials.gov - NCT02013063.

Original languageEnglish
JournalEuropean Journal of Nuclear Medicine and Molecular Imaging
DOIs
Publication statusPublished - 1 Nov 2020

Keywords

  • Cost-effectiveness
  • DCE-CT
  • Diagnostic accuracy trial
  • Diagnostic imaging
  • Lung cancer
  • PET/CT
  • Solitary pulmonary nodule (SPN)

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