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Influence of Covariates on 18 F-FDG PET/CT Diagnostic Accuracy for Liver Metastasis.

Vincent HabouzitAnthime FlausJean-Marc PhelipSylvain GrangeBertrand Le RoyRémi GrangeNathalie Prévot
Published in: Diagnostics (Basel, Switzerland) (2024)
(1) Background: 18 F-FDG PET/CT diagnostic accuracy for liver metastasis (LM) could be influenced by technical parameters, lesion size, and the patient's covariates. This retrospective study aimed to evaluate these covariates' impact on PET/CT sensitivity. (2) Methods: Consecutive patients with suspected LMs who underwent 18 F-FDG PET/CT scans were included. PET/CT scans were interpreted visually. The reference standard integrated histopathological and imaging follow-up. Logistic regression modeling and average marginal predictions were used to calculate per-lesion diagnostic performance measures with cluster robust 95% confidence intervals and to assess the covariates' impact on PET/CT sensitivity. (3) Results: We included 192 patients with 330 lesions. 18 F-FDG PET/CT exhibited a per-lesion sensitivity, specificity, positive predictive value, and negative predictive value of 86%, 79%, 91%, and 69%, respectively. In multivariate analysis, TOF PET/CT exhibited a higher sensitivity than non-TOF PET/CT (91% vs. 78%, p = 0.02). Sensitivity was reduced for lesions < 10 mm compared to larger lesions (56% vs. 93%, p < 0.001). A 5 kg/m 2 increase in BMI led to an average 5% sensitivity reduction ( p < 0.001). Age, sex, blood glucose level below 11 mmol/L, and liver density did not significantly impact sensitivity ( p > 0.05). (4) Conclusions: 18 F-FDG PET/CT sensitivity might be reduced with non-TOF PET, lesions < 10 mm, and higher BMI.
Keyphrases
  • pet ct
  • positron emission tomography
  • mass spectrometry
  • ms ms
  • computed tomography
  • magnetic resonance imaging
  • magnetic resonance
  • high resolution
  • metabolic syndrome
  • adipose tissue
  • weight gain
  • weight loss