Abstract 2268
Background
Ring-type dedicated breast positron emission tomography (DbPET) can detect small breast cancers; however, there are no category classifications of abnormal findings on DbPET such as BI-RADs (mammography, ultrasonography, and magnetic resonance imaging). We investigated whether the classification of DbPET findings was useful for detecting breast cancer.
Methods
A total of 674 patients with breast cancers underwent ring-type DbPET using FDG before treatment between January 2016 and March 2019. Findings were morphologically categorized as a focus (uptake size ≤5 mm), mass (>6 mm), or non-mass (multiple uptakes). Non-mass uptakes were additionally classified based on the distribution: focal, linear, regional, segmental, and diffuse. Maximum standardized uptake value (SUVmax) and tumor-to-normal tissue ratio (TNR) were calculated. The final diagnosis was pathologically evaluated based on biopsy or surgical specimens, and lesions of category 2 or lower by conventional examinations were determined benign.
Results
Among 867 abnormal findings, 668 (77%) were malignant and 199 (23%) were benign. Morphologically, 187 (21.6%) lesions were foci, 413 (47.6%) were masses, and 267 (30.8%) were non-masses. Among non-mass lesions, 131 focal, 1 linear, 15 regional, 115 segmental, and 5 diffuse distributions were presented. The median SUVmax was 5.0 and TNR was 2.8. The area under the curve values of SUVmax and TNR for predicting malignancy were 0.824 and 0.855, respectively. In a multivariate analysis, mass, focal and segmental distributions of non-mass lesions, high TNR were significantly related with breast cancer (all P < 0.001). Pathologically confirmed benign lesions included 45 mastopathies, 29 papillomas, 10 fibroadenomas, 7 ductal adenomas, and 3 others.
Conclusions
Classification using morphological findings and TNRs on DbPET are useful to detect breast cancer. The DbPET classification should be considered for breast cancer screening.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
2963 - Analytical performance of the Resolution-HRD plasma assay used to identify mCRPC patients with biallelic disruption of DNA repair genes for treatment with niraparib
Presenter: Ira Pekker
Session: Poster Display session 3
Resources:
Abstract
3523 - Results of a global external quality assessment scheme for EGFR testing on liquid biopsy
Presenter: Nicola Normanno
Session: Poster Display session 3
Resources:
Abstract
3295 - Clinical impact of plasma Next-Generation Sequencing (NGS) in advanced Non-small cell lung cancer (aNSCLC)
Presenter: Laura Bonanno
Session: Poster Display session 3
Resources:
Abstract
5632 - Feasibility study of a ctEGFR prototype assay on the fully automated Idylla™ platform
Presenter: Martin Reijans
Session: Poster Display session 3
Resources:
Abstract
3614 - Enhanced Access to EGFR Molecular Testing in NSCLC using a Cell-Free DNA Tube for Liquid Biopsy
Presenter: Theresa May
Session: Poster Display session 3
Resources:
Abstract
5664 - Analysis of circulating tumor DNA in paired plasma and sputum samples of EGFR-mutated NSCLC patients
Presenter: Christina Grech
Session: Poster Display session 3
Resources:
Abstract
4945 - Liquid biopsy and Array Comparative Genomic Hybridization (aCGH)
Presenter: Panagiotis Apostolou
Session: Poster Display session 3
Resources:
Abstract
5746 - Next-generation sequencing panel verification to detect low frequency single nucleotide and copy number variants from mixing cell line studies
Presenter: Rocio Rosas-Alonso
Session: Poster Display session 3
Resources:
Abstract
5901 - Automated rarefaction analysis for precision B and T cell receptor repertoire profiling from peripheral blood and FFPE-preserved tumor
Presenter: Luca Quagliata
Session: Poster Display session 3
Resources:
Abstract
2027 - A Heptamethine cyanine dye is a potential diagnostic marker for Myeloid-Derived Suppressor Cells
Presenter: Chaeyong Jung
Session: Poster Display session 3
Resources:
Abstract