Publication:
Is there a comparable Mp-MRI for incidental prostate uptake on 18 F-FDG PET/CT?

dc.contributor.coauthorŞam Özdemir M., Kaya N., Savun M., Keskin E.T., Arslan F.Z., Budak B., Omak Ö., Yardımcı A.H., Özdemir H.
dc.contributor.departmentKUH (Koç University Hospital)
dc.contributor.kuauthorYüzkan, Sabahattin
dc.contributor.schoolcollegeinstituteKUH (KOÇ UNIVERSITY HOSPITAL)
dc.date.accessioned2025-03-06T21:01:34Z
dc.date.issued2024
dc.description.abstractPurpose: Although 18 F-FDG-PET/CT is helpful in defining many types of cancer, localized prostate cancer should not be treated with this technique. This study describes the use of multi-parametric MRI (mpMRI) to characterize incidental 18 F-FDG uptake in the prostate. Methods and Materials: While 18 F-FDG-PET/CT is useful for characterizing a variety of cancers, it is not advised for prostate cancer that is localized. This work investigates the use of mpMRI to describe incidental 18 F-FDG uptake in the prostate.mpMRI included T2-weighted (T2W), dynamic contrast enhancement (DCE), and apparent diffusion coefficient (ADC) sequences. Patients were classified according to PI-RADS (Prostate Imaging Reporting and Data System) version 2.1 by an experienced uroradiologist, and 18 F-FDG-PET was evaluated to determine whether the area of involvement on CT had a counterpart in mpMRI. A biopsy was performed on 30 of the 92 patients. These patients’ maximum standardized uptake values (SUVmax) 6 < and ≥ 6, PS(PSA) density 0.15 < and ≥ 0.15, PSA level, uptake pattern (focal involvement/diffuse involvement), and PI-RADS scores were compared. P <.05 was considered statistically significant. Logistic regression was used to analyze PI-RADS score groups age, PSA, PSA density and SUVmax. Results: In the study, 92 patients with incidental 18 F-FDG-PET/CT prostate uptake were examined. Median age was 66, PSA median was 3.6 ng/ml (range: 0-3198 ng/ml). Notably, in 70.6% of cases, PET/CT uptake didn’t correlate with mp-MRI findings. Among PI-RADS 3-4-5 patients (29.3%), there was a correlation. Biopsies in 30 patients revealed 43.3% benign, 56.7% malignant. Significant differences between benign and malignant cases were observed in PSA density, PI-RADS scores, and PSA levels (p <.05), while SUVmax and uptake pattern were not significant. In multivariate logistic regression analysis, PI-RADS score groups were found to be independent risk factors for predicting malignancy. Conclusions: Our study showed that incidental 18 F-FDG-PET/CT prostate uptake was detected and that high PSA density values, PI-RADS scores, and PSA values, such as in routine patients, and not PET-CT findings such as SUVmax and uptake pattern, were more predictive of malignancy.
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.identifier.doi10.1186/s12957-024-03578-0
dc.identifier.issn1477-7819
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85212785395
dc.identifier.urihttps://doi.org/10.1186/s12957-024-03578-0
dc.identifier.urihttps://hdl.handle.net/20.500.14288/28002
dc.identifier.wos1381661000002
dc.keywords18F-FDG PET-CT
dc.keywordsMulti-parametric MRI
dc.keywordsProstate cancer
dc.keywordsIncidental prostate 18F-FDG uptake
dc.language.isoeng
dc.publisherBioMed Central Ltd
dc.relation.ispartofWorld Journal of Surgical Oncology
dc.subjectOncology
dc.subjectUrology and nephrology
dc.titleIs there a comparable Mp-MRI for incidental prostate uptake on 18 F-FDG PET/CT?
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorYüzkan, Sabahattin
local.publication.orgunit1KUH (KOÇ UNIVERSITY HOSPITAL)
local.publication.orgunit2KUH (Koç University Hospital)
relation.isOrgUnitOfPublicationf91d21f0-6b13-46ce-939a-db68e4c8d2ab
relation.isOrgUnitOfPublication.latestForDiscoveryf91d21f0-6b13-46ce-939a-db68e4c8d2ab
relation.isParentOrgUnitOfPublication055775c9-9efe-43ec-814f-f6d771fa6dee
relation.isParentOrgUnitOfPublication.latestForDiscovery055775c9-9efe-43ec-814f-f6d771fa6dee

Files