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Impact of adjunctive quantitative analysis on visual interpretation of amyloid PET: a multiple tracer, multicentre
Seunggyun Ha1, Byungwook Choi2, Soo Jin Kwon1,3
1Division of Nuclear Medicine, Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Introduction:
Visual amyloid positron emission tomography (PET) interpretation is standard for detecting cerebral amyloid-β but is limited by subjectivity, inter-reader variability, and tracer heterogeneity. We evaluated the impact of adjunctive quantitative analysis in real-world clinical practice.
Materials And Methods:
This retrospective multicentre study included patients who underwent amyloid PET with F-18 florbetaben (FBB), flutemetamol (FMM), or florapronol (FPN) and T1-weighted brain MRI between 2015 and 2022. Scans were interpreted by visual assessment alone and then with adjunctive quantitative standardized uptake value ratio and Centiloid analysis. Primary outcomes were changes in reader confidence and inter-reader agreement; agreement metrics with an expert consensus adjudication (with quantitative and clinical information unblinded only when initial visual reads were discordant) were assessed as a secondary endpoint.
Results:
In 950 patients, adjunctive quantitative analysis significantly increased reader confidence, with high-confidence interpretations rising from 76.3% to 83.7% (p < 0.001). Inter-reader agreement also improved significantly (κ: 0.746 to 0.826, p < 0.001, respectively). Accuracy for the expert consensus adjudication increased modestly (0.930 to 0.940, p = 0.003), driven by higher specificity (0.915 to 0.944, p < 0.001) with a slight reduction in sensitivity (0.943 to 0.937, p = 0.52).
Conclusion:
Adjunctive quantitative analysis increases reader confidence and improves inter-reader agreement in real-world amyloid PET interpretation. Although agreement and diagnostic metrics with expert consensus adjudication also increased, this should not be interpreted as independent diagnostic validation. Overall, quantitative metrics appear most valuable as an adjunct to enhance consistency, particularly in equivocal cases.
Key Points:
Question Does the use of adjunctive quantitative analysis significantly increase the diagnostic confidence of readers compared to visual interpretation alone? Findings Adjunctive quantitative support significantly increased reader confidence and inter-reader agreement. Clinical relevance Quantitative tools, when used as adjuncts to expert visual interpretation and supported by automated workflows, can improve consistency and confidence in amyloid PET reading, particularly in borderline cases, thereby supporting clinical decision-making in routine practice.