Abstract

Simple SummaryMolecular imaging of patients with prostate cancer is widely utilized. We aimed to determine whether changes in post-processing parameters, such as maximum intensity thresholds, can significantly alter results. We investigated 623 lesions that were positive on a molecular imaging scan and could not find any relevant impact on results when certain parameters were changed, in particular in lesions indicative for metastases of prostate cancer.Prostate-specific membrane antigen (PSMA)-directed positron emission tomography/computed tomography (PET/CT) is increasingly utilized for staging of men with prostate cancer (PC). To increase interpretive certainty, the standardized PSMA reporting and data system (RADS) has been proposed. Using PSMA-RADS, we characterized lesions in 18 patients imaged with 18F-PSMA-1007 PET/CT for primary staging and determined the stability of semi-quantitative parameters. Six hundred twenty-three lesions were categorized according to PSMA-RADS and manually segmented. In this context, PSMA-RADS-3A (soft-tissue) or -3B (bone) lesions are defined as being indeterminate for the presence of PC. For PMSA-RADS-4 and -5 lesions; however, PC is highly likely or almost certainly present [with further distinction based on absence (PSMA-RADS-4) or presence (PSMA-RADS-5) of correlative findings on CT]. Standardized uptake values (SUVmax, SUVpeak, SUVmean) were recorded, and volumetric parameters [PSMA-derived tumor volume (PSMA-TV); total lesion PSMA (TL-PSMA)] were determined using different maximum intensity thresholds (MIT) (40 vs. 45 vs. 50%). SUVmax was significantly higher in PSMA-RADS-5 lesions compared to all other PSMA-RADS categories (p ≤ 0.0322). In particular, the clinically challenging PSMA-RADS-3A lesions showed significantly lower SUVmax and SUVpeak compared to the entire PSMA-RADS-4 or -5 cohort (p < 0.0001), while for PSMA-RADS-3B this only applies when compared to the entire PSMA-RADS-5 cohort (p < 0.0001), but not to the PSMA-RADS-4 cohort (SUVmax, p = 0.07; SUVpeak, p = 0.08). SUVmean (p = 0.30) and TL-PSMA (p = 0.16) in PSMA-RADS-5 lesions were not influenced by changing the MIT, while PSMA-TV showed significant differences when comparing 40 vs. 50% MIT (p = 0.0066), which was driven by lymph nodes (p = 0.0239), but not bone lesions (p = 0.15). SUVmax was significantly higher in PSMA-RADS-5 lesions compared to all other PSMA-RADS categories in 18F-PSMA-1007 PET/CT. As such, the latter parameter may assist the interpreting molecular imaging specialist in assigning the correct PSMA-RADS score to sites of disease, thereby increasing diagnostic certainty. In addition, changes of the MIT in PSMA-RADS-5 lesions had no significant impact on SUVmean and TL-PSMA in contrast to PSMA-TV.

Highlights

  • Prostate cancer (PC) is the second most frequent cancer in men, with more than 1.4 million new cases worldwide in 2020 [1]

  • To standardize interpretation in patients imaged with prostate-specific membrane antigen (PSMA)-directed radiotracers, we proposed a structured reporting and data system (PSMA-RADS version 1.0) [10]

  • Given substantial differences in the lesion detection rate and normal biodistribution of those radiotracers [8,15,16], we aimed to examine the use of PSMA-RADS for 18F-PSMA-1007

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Summary

Introduction

Prostate cancer (PC) is the second most frequent cancer in men, with more than 1.4 million new cases worldwide in 2020 [1]. The introduction of imaging agents targeting prostate-specific membrane antigen (PSMA), a type II transmembrane glycoprotein that is overexpressed on PC cells [2,3], has further improved the ability to detect and ascertain the presence of metastatic disease compared to conventional imaging [4], showing high diagnostic accuracy for primary staging and restaging during biochemical recurrence [5,6,7]. Several PSMA-targeted positron emission tomography (PET) radioligands, especially 68Galabeled compounds, have been established for clinical use [8]. Given substantial differences in the lesion detection rate and normal biodistribution of those radiotracers [8,15,16], we aimed to examine the use of PSMA-RADS for 18F-PSMA-1007. We aimed to determine the stability of PSMA-RADS-based semi-quantification when different maximum intensity thresholds (MIT) were applied, in particular for PSMA-RADS-5 lesions (i.e., PC almost certainly present)

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