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The accuracy of 18F-FDG PET/CT in predicting the pathological response to neoadjuvant chemotherapy in patients with breast cancer: a meta-analysis and systematic review

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AbstractObjectivesThe aim of this meta-analysis was to evaluate the accuracy of 18F-FDG PET/CT in predicting the pathological response to neoadjuvant chemotherapy (NAC) in breast cancer (BC) patients.MethodsPubMed, Embase, the Cochrane… Click to show full abstract

AbstractObjectivesThe aim of this meta-analysis was to evaluate the accuracy of 18F-FDG PET/CT in predicting the pathological response to neoadjuvant chemotherapy (NAC) in breast cancer (BC) patients.MethodsPubMed, Embase, the Cochrane Library (Central), and the Web of Science (SCI-Expanded) were systematically searched to identify pertinent studies. The methodologic quality of the included studies was assessed by the Quality Assessment of Diagnostic Accuracy Studies-2. The Spearman correlation coefficient was used to explore the existence of a threshold effect. Heterogeneity was assessed by the likelihood ratio I2 index.ResultsThe pooled values calculated with a mixed-effects model for the sensitivity, specificity and diagnostic odds ratio with 95% confidence intervals were 81.9% (76.0–86.6%), 79.3% (72.1–85.1%) and 17.35 (10.98–27.42), respectively.Conclusions18F-FDG PET/CT has a moderate accuracy in predicting the pathological response during the early process of NAC in breast cancer patients. To increase the role of 18F-FDG PET/CT in monitoring the therapy response, future prospective studies are needed to explore how chemotherapy regimens and different subtypes affect the levels of glucose metabolism.Key Points• This meta-analysis assesses the role of PET/CT in breast cancer during NAC. • Pathological responses were based on both primary tumour and lymph node. • 18F-FDG PET/CT has a moderate accuracy in predicting the pathological response.

Keywords: predicting pathological; accuracy; fdg pet; pathological response; 18f fdg

Journal Title: European Radiology
Year Published: 2017

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