Interobserver variability, detection rate, and lesion patterns of 68Ga-PSMA-11-PET/CT in early-stage biochemical recurrence of prostate cancer after radical prostatectomy.

European Journal of Nuclear Medicine and Molecular Imaging
Jonathan MikschVikas Prasad

Abstract

68Ga-PSMA-11-PET/CT is increasingly used in early-stage biochemical recurrence of prostate cancer to detect potential lesions for an individualized radiotherapy concept. However, subtle findings especially concerning small local recurrences can still be challenging to interpret and are prone to variability between different readers. Thus, we analyzed interobserver variability, detection rate, and lesion patterns systematically in a homogeneous patient population with low-level biochemical recurrence. We analyzed 68Ga-PSMA-11-PET/CTs in 116 patients with status post-prostatectomy and PSA levels up to 0.6 ng/ml. None of them received ADT or radiotherapy beforehand. Images were interpreted and blinded by two nuclear medicine physicians (R1 and R2). Findings were rated using a 5-point scale concerning local recurrence, lymph nodes, bone lesions, and other findings (1: definitely benign, 2: probably benign, 3: equivocal, 4: probably malignant, 5: definitely malignant). In findings with substantial discrepancies of 2 or more categories and/or potentially leading to differences in further patient management, a consensus reading was done with a third reader (R3). Interobserver agreement was measured by Cohens Kappa analysis after sub-c...Continue Reading

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Citations

Jan 23, 2021·Nuclear Medicine Communications·Clemens MingelsIan Alberts
Jul 15, 2021·Nuklearmedizin. Nuclear Medicine·Constantin LapaUNKNOWN “Arbeitsgemeinschaft Nuklearmedizin und Strahlentherapie der DEGRO und DGN”
Jul 15, 2021·Strahlentherapie und Onkologie : Organ der Deutschen Röntgengesellschaft ... [et al]·Constantin LapaUNKNOWN Arbeitsgemeinschaft Nuklearmedizin und Strahlentherapie der DEGRO und DGN
Nov 13, 2021·European Journal of Nuclear Medicine and Molecular Imaging·Mohammadreza ChavoshiPatrick Veit-Haibach

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Methods Mentioned

BETA
X-ray
biopsy

Software Mentioned

PROMISE
SPSS

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