Publication:
The role of PSMA PET/CT in predicting downgrading in patients with Gleason score 4+4 prostate cancer in prostate biopsy

dc.contributor.departmentN/A
dc.contributor.kuauthorAykanat, İbrahim Can
dc.contributor.kuauthorKordan, Yakup
dc.contributor.kuauthorSeymen, Hülya
dc.contributor.kuauthorKöseoğlu, Ersin
dc.contributor.kuauthorÖzkan, Arif
dc.contributor.kuauthorEsen, Barış
dc.contributor.kuauthorTarım, Kayhan
dc.contributor.kuauthorKulaç, İbrahim
dc.contributor.kuauthorFalay, Fikri Okan
dc.contributor.kuauthorGürses, Bengi
dc.contributor.kuauthorBaydar, Dilek Ertoy
dc.contributor.kuauthorCanda, Abdullah Erdem
dc.contributor.kuauthorBalbay, Mevlana Derya
dc.contributor.kuauthorDemirkol, Mehmet Onur
dc.contributor.kuauthorEsen, Tarık
dc.contributor.schoolcollegeinstituteSchool of Medicine
dc.contributor.unitKoç University Hospital
dc.date.accessioned2024-12-29T09:40:11Z
dc.date.issued2024
dc.description.abstractBackground To investigate the predictable parameters associated with downgrading in patients with a Gleason score (GS) 8 (4+4) in prostate biopsy after radical prostatectomy. Methods We retrospectively analyzed 62 patients with a GS of 4+4 on prostate biopsy who underwent robotic radical prostatectomy between 2017 and 2022. Results 38 of 62 (61.2%) were downgraded. In multivariable logistic regression model, Ga-68 prostate-specific membrane antigen (PSMA) positron-emission tomography (PET)/computed tomography (CT) SUV max was independent predictor of downgrading (OR 0.904; p = 0.011) and a Logistic Regression model was constructed using the following formula: Y = 1.465-0.95 (PSMA PET/CT SUV max). The model using this variable correctly predicted the downgrading in 72.6% of patients. The AUC for PSMA PET/CT SUV max was 0.709 the cut off being 8.8. A subgroup analysis was performed in 37 patients who had no other European Association of Urology (EAU) high risk features. 25 out of 37 (67.5%) were downgraded, and 21 of these 25 had organ confined disease. Low PSMA SUV max (<8.1) and percentage of GS 4+4 biopsy cores to cancer bearing cores (45.0%) were independently associated with downgrading to GS 7. Conclusion PSMA PET/CT can be used to predict downgrading in patients with GS 4+4 PCa. Patients with GS 4+4 disease, but no other EAU high risk features, low percentage of GS 4+4 biopsy cores to cancer bearing cores, and a low PSMA PET/CT SUV max are associated with a high likelihood of the cancer reclassification to intermediate risk group.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue1
dc.description.openaccessGreen Published, hybrid
dc.description.publisherscopeInternational
dc.description.sponsorsOpen access funding provided by the Scientific and Technological Research Council of Türkiye (TÜBİTAK).
dc.description.volume42
dc.identifier.doi10.1007/s00345-024-05012-2
dc.identifier.eissn1433-8726
dc.identifier.issn0724-4983
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85193961132
dc.identifier.urihttps://doi.org/10.1007/s00345-024-05012-2
dc.identifier.urihttps://hdl.handle.net/20.500.14288/23239
dc.identifier.wos1228887600001
dc.keywordsProstate cancer
dc.keywordsDowngrading
dc.keywordsHigh risk
dc.keywordsPSMA PET CT
dc.keywordsGleason score 8
dc.languageen
dc.publisherSpringer
dc.sourceWorld Journal of Urology
dc.subjectUrology and nephrology
dc.titleThe role of PSMA PET/CT in predicting downgrading in patients with Gleason score 4+4 prostate cancer in prostate biopsy
dc.typeJournal article
dspace.entity.typePublication
local.contributor.kuauthorAykanat, İbrahim Can
local.contributor.kuauthorKordan, Yakup
local.contributor.kuauthorSeymen, Hülya
local.contributor.kuauthorKöseoğlu, Ersin
local.contributor.kuauthorÖzkan, Arif
local.contributor.kuauthorEsen, Barış
local.contributor.kuauthorTarım, Kayhan
local.contributor.kuauthorKulaç, İbrahim
local.contributor.kuauthorFalay, Fikri Okan
local.contributor.kuauthorGürses, Bengi
local.contributor.kuauthorBaydar, Dilek Ertoy
local.contributor.kuauthorCanda, Abdullah Erdem
local.contributor.kuauthorBalbay, Mevlana Derya
local.contributor.kuauthorDemirkol, Mehmet Onur
local.contributor.kuauthorEsen, Tarık

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