Abstract
Purpose
To evaluate the performance of [68Ga]Ga-PSMA-11 PET/CT in the diagnosis of recurrent prostate cancer (PC) after prostatectomy in a large multicentre cohort.
Methods
The centres, which contributed to this study, were the departments of nuclear medicine of Heidelberg (Germany), Technical University of Munich (Germany) and Albert Einstein Hospital of São Paulo (Brazil). A total of 2533 patients who were scanned with [68Ga]Ga-PSMA-11 PET/CT at 1 h p.i. due to recurrent PC after prostatectomy were included in this retrospective analysis. Exclusion criteria were as follows: patients with untreated primary tumour, previous chemotherapy or Xofigo®; those previously treated with exclusively external beam radiation therapy or HIFU; those referred for PSMA-therapy; and those treated with ADT (including first- and second-generation ADT) within the last 6 months. Potential influences of different factors such as PSA level, PSA doubling-time (PSADT), PSA velocity (PSAVel), Gleason Score (GSC, including the separate analysis of 7a and 7b), age and amount of injected tracer were evaluated in a multivariable analysis.
Results
The rate of pathologic PET/CT-scans was 43% for PSA ≤ 0.2 ng/ml, 58% for PSA > 0.2 to ≤ 0.5, 72% for PSA > 0.5 to ≤ 1.0 and increased to a maximum of 93% for PSA > 10 ng/ml. A pathological PET/CT was significantly (p = 0.001) associated with PSA level and higher GSC. Amount of injected tracer, age, PSADT and PSAVel were not associated with a higher probability of a pathological scan.
Conclusion
[68Ga]Ga-PSMA-11 PET/CT at 1 h p.i. confirmed its high performance in the largest patient cohort yet analysed. Tumour detection showed a clear association with higher PSA and higher GSC. No association was found between a pathological [68Ga]Ga-PSMA-11 PET/CT and age, amount of injected tracer, PSADT or PSAVel.
Supplementary Information
The online version contains supplementary material available at 10.1007/s00259-021-05189-3.
Keywords: Prostate cancer, PET/CT, Positron emission tomography, PSMA, Prostate-specific membrane antigen
Introduction
The detection of recurrent prostate cancer (PC) with conventional imaging modalities such as bone scan (BS), computed tomography (CT) or magnetic resonance imaging (MRI) remains challenging. Within a remarkably short period following its first clinical introduction in May 2011 [1], positron emission tomography (PET) using [68Ga]Ga-PSMA-11 became the imaging modality of choice for the detection of recurrent PC wherever possible. [68Ga]Ga-PSMA-11 is a 68Ga-labelled small molecule inhibitor of the prostate-specific membrane antigen (PSMA), a transmembranous protein, which is significantly overexpressed in the majority of PC. Owing to its superior performance demonstrated in a multitude of studies, it has largely replaced previous generation tracers such as choline-PET/CT and shows high tumour contrast, sensitivity and excellent positive predictive value (PPV) of > 95% [2–5].
In keeping with the increasing publications and utilization of PSMA-PET/CT worldwide, there has been a rapid increase of knowledge about this diagnostic modality. The focus of some publications has been the interplay of possible factors that could predict PET positivity or tumour detection in patients with recurrent PC [2–4, 6–8]. One of the critical characteristics of the majority of these publications is the inhomogeneity in the patient cohorts, e.g. including patients with different initial therapies. Patients with initial exclusive external beam radiation therapy or high-intensity focused ultrasound (HIFU) of the primary tumours should not be mixed with prostatectomy patients since the prostate-specific antigen (PSA) values of both groups cannot be compared in the setting of biochemical relapse of PC. In addition, the inclusion of individuals with previous chemotherapy, Xofigo® or second-generation androgen deprivation therapy (ADT) is also critical since all these options indicate an advanced disease instead of a proper recurrence after initial therapy.
With regard to ADT, it was assumed for a long period that recurrent tumours in patients undergoing ADT had a higher probability of being detected when compared to patients without ADT [2–4]. However, in 2018 a study indicated that this effect is likely because ADT is usually prescribed in more advanced disease [9]. The same study found that uptake of [68Ga]Ga-PSMA-11 in castration sensitive PC is often significantly reduced by ADT. Interestingly, one third of patients with complete PSA response to long-term ADT still presented with a pathologic tracer uptake in tumour lesions. The reasons for the latter phenomenon are poorly understood. Considering all mentioned information, ADT can potentially make the results of the PSMA-PET/CT unpredictable [9]. Consequently, patients with an ongoing ADT should be excluded from studies that analyse the performance of PSMA ligands for the detection of early recurrent PC.
With all above-mentioned limitations in mind, there seems a more detailed data analysis possible. The aim of our study was to present more robust data regarding the performance of [68Ga]Ga-PSMA-11 PET/CT in a large patient cohort with recurrent PC.
Materials and methods
Patients
For this retrospective analysis, three different departments of nuclear medicine were requested to enter as many patients as possible to the study database. The three were the University Hospital of Heidelberg (Germany), the Technical University of Munich (Germany) and the Hospital Israelita Albert Einstein of São Paulo (Brazil). Patients’ characteristics are presented by Table 1.
Table 1.
Age (y) [n = 2533; missing: 0] | Tracer (MBq) [n = 2530; missing: n = 3] | GSC [n = 2112; missing: n = 421] | PSA at PET (ng/ml) [n = 2407; missing: n = 126] | |
---|---|---|---|---|
Average | 67 | 186 | 8 | 3.7 |
SD | 8 | 53 | 1.1 | 25.5 |
Range | 39–96 | 52–480 | 3–10 | 0.01–1055 |
Median | 68 | 181 | 7 | 0.8 |
Prostatectomy n = 2533 (all patients) | Prostatectomy + radiation therapy n = 719 | |||
PSA doubling time (months) [n = 558; missing: n = 1975] | ||||
< 1 month (n = 13) | 1- < 3 months (n = 64) | 3- < 6 months (n = 122) | 6- < 12 months (n = 98) | ≥ 1 year (n = 261) |
PSA velocity (ng/mL/y) [n = 324; missing: n = 2209] | ||||
< 1 (n = 190) | 1- < 3 (n = 65) | 3- < 6 (n = 34) | 6- < 12 (n = 17) | ≥ 12 (n = 18) |
Inclusion criteria
Patients referred for PSMA imaging due to recurrent PC after prostatectomy. Recurrent PC was defined as any PSA increase after prostatectomy. In patients with very low PSA closely above zero, recurrent PC was suspected by the referring physicians in alternative diagnostic tools since PSA was not a reliable parameter due to the aggressive characteristics of the tumour.
Exclusion criteria
Patients with untreated primary tumour, previous chemotherapy or Xofigo®, those previously treated with exclusively external beam radiation therapy or HIFU, those referred for PSMA-therapy and those treated with ADT (including first- and second-generation ADT) within the last 6 months.
Only the first scan available was included in this analysis; subsequent repeat scanning was not considered. The total number of included patients was n = 2533, including 765 patients from Heidelberg, 800 patients from Munich and 968 from Sao Paulo.
Approximately one third of the patients from Munich and Heidelberg have been published in various studies including studies addressing the same questions as the current analysis. However, as mentioned in the introduction chapter, those analyses did not represent a homogeneous cohort of patients in a proper context of recurrent disease after radical prostatectomy.
Radiotracer
[68Ga]Ga-PSMA-11 was produced as previously described [10] and was applied to the patients via an intravenous bolus injection (mean of 186 ± 53 MBq, range 52–480 MBq). Variation of injected radiotracer activity was caused by the short physical half-life of 68Ga (68 min), variable elution efficiencies of the 68Ge/68Ga generator and unexpected delays in the scanning of patients.
Imaging and image analysis
All patients were scanned according to the institutional protocols (details included in supplementary data) beginning at 1 h post-injection of the tracer with the CT scan (low-dose in Heidelberg and Sao Paulo, contrast enhanced in Munich) followed by the PET scan which was acquired in 3-D mode. The emission data were corrected for randoms, scatter and decay. Attenuation correction was performed using the CT data. Furosemide was not applied routinely in Heidelberg and Sao Paulo but was applied routinely in Munich. No hydration standards existed at all three institutes.
For the current analysis, the official clinical reports of the PET/CT were evaluated, which were created according to the institutional standards (details included in supplementary data).
Statistical analysis
For statistical analysis, Excel 2010 (Microsoft, Redmond, USA) and R version 3.5.2 were used. In all cases a p value of < 0.05 was considered statistically significant. In addition to standard descriptive statistics, the following statistical analyses were performed:
Association between positive (pathologic) PET/CT results and the variables age, amount of injected tracer, PSA level and initial GSC was investigated jointly using a multivariable logistic regression model. The positive PET/CT result was defined as the dependent variable. Explanatory variables were defined as follows:
Centre was included as a categorical variable (Heidelberg/Munich/São Paulo). Heidelberg was defined as the reference centre.
GSC was included as a categorical variable and analysed divided in six different classes: GSC 5–6 (as reference; all other GSC classes were compared to GSC 5–6); GSC 7 (includes only patients without further specification); GSC 7a; GSC 7b; GSC 8 and GSC 9–10.
Injected tracer amount was included as a continuous variable, expressed as multiples of 50 MBq. The odds ratio therefore always refers to a change by 50 MBq.
Age was included as a continuous variable in multiples of 10 years.
As PSA levels showed a skewed distribution, they were converted to a natural logarithmic scale (logPSA) first and included as a continuous variable. Odds ratios therefore refer to an increase by one log level.
The multivariable analysis was considered the primary analysis.
-
2)
Association between positive (pathologic) PET/CT results and PSADT as well as PSAVel (both calculated using an official laboratory calculator from the LIMBACH group) was also investigated, using an extension of the multivariable logistic regression model from 1). As these variables were only available for a small fraction of our patients, both PSADT and PSAVel were investigated in two separate supplementary analyses based on a reduced collective for which all variables were available. In both cases, PSADT and PSAVel were coded as continuous variables. For the first analysis, only PSADT was added to the multivariable model from (1). For the second analysis, both PSADT and PSAVel were added to the model.
-
3)
Proportions of positive PET results were calculated for subgroups defined by PSA levels and GSC classes. Exact binomial 95% confidence intervals were determined for these estimates.
Results
In 1746 of 2533 patients (68.9%, = patient-based sensitivity), [68Ga]Ga-PSMA-11 PET/CT showed pathological PSMA-avid lesions indicative for PC. The patient-based sensitivities in different PSA subgroups are shown in Fig. 1. The probability of a pathologic scan started at 43% at PSA ≤ 0.2 ng/ml and rose with higher PSA values. Notably, the rates did not reach 100%, also not for the cohort of patients with the highest PSA (> 10 ng/ml).
The probability of a pathologic [68Ga]Ga-PSMA-11 PET/CT depending on GSC is presented by Fig. 2. The probability of a pathologic scan increases with higher GSC, therefore with higher aggressiveness of the tumour.
A patient-based calculation of specificity, negative predictive value (NPV), and positive predictive value (PPV) was not applicable because no true-negative cases existed. All included patients were referred to PSMA-PET/CT due to recurrent PC.
Patients with pathologic radiotracer uptake (n = 1746) had a mean PSA of 4.65 ± 29.7 (0.01–1055, median of 1.09 ng/ml), a mean PSADT of 73.2 ± 257 months (0.1–4405, median of 9.7), a mean PSAVel of 3.3 ± 7.3 ng/mg/yr (0.02–51.8, median of 0.9) and a mean GSC of 7 ± 1.0 (range 3–10, median of 7) and were injected with a mean activity of 187 ± 53 MBq [68Ga]Ga-PSMA-11 (range 52–480 MBq, median 183 MBq).
Patients without pathologic radiotracer uptake (n = 787) had a mean PSA of 1.17 ± 5.3 (0.01–127, median of 0.4 ng/ml), a mean PSADT of 82.6 ± 156 months (0.4–964, median of 15.2), a mean PSAVel of 3.02 ± 19.8 ng/mg/yr (0.02–160.7, median of 0.7) and a mean GSC of 7 ± 0.9 (range 4–10, median of 7) and were injected with a mean activity of 184 ± 54.1 MBq [68Ga]Ga-PSMA-11 (range 66–400 MBq, median 178 MBq).
In the primary multivariable analysis based on the subset of n = 2043 patients where all analysed variables were available, a strong and significant association was detected between a positive PET result and both log PSA level and GSC. For every natural log step in PSA levels, the odds for a positive PET increased by a factor of 2.08. Even under the conservative estimate provided by the lower 95% confidence interval boundary for the odds ratio, an increase by a factor of 1.88 per natural log step can still GSC, a monotonous increase of pathologic scans was observed for increasing GSC with a maximum increase of odds by a factor of 3.53 being observed between the highest and lowest classes of GSC (i.e. GSC 9–10 vs. GSC 5–6). No significant or relevant association was detected between a positive PET result and the following parameters: PET centre (data not shown), age and amounts of injected radioactivity (Table 2, Model A).
Table 2.
A | Variables (n = 2043) | Coefficient | Standard error | 95% Conf. lower limit | Odds ratio | 95% Conf. upper limit | P value |
Munich | 0.072 | 0.166 | 0.777 | 1.075 | 1.487 | 0.664 | |
Sao Paulo | 0.250 | 0.154 | 0.950 | 1.284 | 1.737 | 0.014 | |
InPSA | 0.732 | 0.052 | 1.876 | 2.080 | 2.305 | < 0.001 | |
Age/10y | 0.082 | 0.071 | 0.945 | 1.086 | 1.247 | 0.245 | |
Tracer/50 MBq | −0.012 | 0.061 | 0.877 | 0.988 | 1.112 | 0.838 | |
GSC 7 | 0.476 | 0.200 | 1.088 | 1.610 | 2.381 | 0.017 | |
GSC 7a | 0.521 | 0.192 | 1.155 | 1.684 | 2.455 | 0.007 | |
GSC 7b | 0.739 | 0.197 | 1.424 | 2.094 | 3.078 | < 0.001 | |
GSC 8 | 0.745 | 0.203 | 1.417 | 2.107 | 3.134 | < 0.001 | |
GSC 9 + 10 | 1.260 | 0.207 | 2.351 | 3.526 | 5.289 | < 0.001 | |
B | Variables (n = 463) | Coefficient | Standard error | 95% Conf. lower limit | Odds ratio | 95% Conf. upper limit | P value |
Munich | 0.355 | 0.550 | 0.485 | 1.426 | 4.189 | 0.519 | |
Sao Paulo | 0.548 | 0.557 | 0.580 | 1.729 | 5.156 | 0.326 | |
InPSA | 0.727 | 0.119 | 1.640 | 2.070 | 2.612 | < 0.001 | |
Age/10y | 0.205 | 0.162 | 0.894 | 1.228 | 1.686 | 0.206 | |
Tracwe/50 MBq | 0.033 | 0.129 | 0.803 | 1.034 | 1.331 | 0.795 | |
GSC 7 | −0.080 | 0.479 | 0.361 | 0.923 | 2.361 | 0.868 | |
GSC 7a | 0.598 | 0.405 | 0.822 | 1.818 | 4.022 | 0.140 | |
GSC 7b | −0.193 | 0.443 | 0.346 | 0.825 | 1.966 | 0.663 | |
GSC 8 | 0.167 | 0.438 | 0.501 | 1.182 | 2.787 | 0.702 | |
GSC 9 + 10 | 0.972 | 0.476 | 1.039 | 2.642 | 6.718 | 0.041 | |
InPSA-DT | −0.132 | 0.125 | 0.687 | 0.877 | 1.119 | 0.291 | |
C | Variables (n = 269) | Coefficient | Standard error | 95% Conf. lower limit | Odds ratio | 95% Conf. upper limit | P value |
Munich | 1.774 | 1.130 | 0.644 | 5.894 | 53.948 | 0.116 | |
Sao Paulo | 2.225 | 1.217 | 0.852 | 9.257 | 100.530 | 0.067 | |
InPSA | 0.540 | 0.253 | 1.046 | 1.716 | 2.815 | 0.033 | |
Age/10y | 0.160 | 0.242 | 0.730 | 1.173 | 1.886 | 0.509 | |
Tracer/50 MBq | 0.115 | 0.236 | 0.706 | 1.122 | 1.783 | 0.627 | |
GSC 7 | −0.470 | 0.617 | 0.186 | 0.625 | 2.094 | 0.446 | |
GSC 7a | 0.612 | 0.571 | 0.602 | 1.845 | 5.653 | 0.284 | |
GSC 7b | −0.452 | 0.590 | 0.200 | 0.637 | 2.023 | 0.444 | |
GSC 8 | −0.085 | 0.645 | 0.260 | 0.919 | 3.251 | 0.895 | |
GSC 9 + 10 | 0.639 | 0.716 | 0.466 | 1.895 | 7.708 | 0.372 | |
InPSA-DT | 0.096 | 0.263 | 0.658 | 1.101 | 1.842 | 0.714 | |
InPSA-Vel | 0.429 | 0.265 | 0.912 | 1.535 | 2.583 | 0.106 |
In our separate analyses with the additional inclusion of PSADT (n = 463) and the analysis including both, PSADT and PSAVel (n = 269), we did not observe significant effects of either variable (Table 2, Model C). However, borderline significant effects were observed for PSA velocity, with a relevant but not significant odds ratio of 1.54 (p = 0.106).
Discussion
The aim of our retrospective analysis was to present a more accurate evaluation of the performance of [68Ga]Ga-PSMA-11 PET/CT in a large multicentre patient cohort with recurrent PC after prostatectomy by considering recent knowledge about PSMA imaging. Only patients with recurrent PC after prostatectomy were included in this largest cohort yet analysed.
Among the patients included in this analysis, 68.9% presented with at least one lesion characteristic for PC in [68Ga]Ga-PSMA-11 PET/CT. This rate is lower compared with the second-largest and third-largest patient cohort including 1007 and 635 patients with overall PET positivity rates of 79.5 and 75%, respectively [4, 7]. This difference finds potential explanation in the lower median PSA of our cohort (0.8 ng/ml) compared with the two before-mentioned publications (2.2 ng/ml and 2.1 ng/ml, respectively).
The PET positivity rate was significantly associated with the PSA value beginning at 43% for PSA < 0.2 ng/ml and rising to 93% at PSA > 10 ng/ml (Fig. 1). A direct comparison of each PSA subgroup to previously published data is challenging because of different subgroup definitions. However, for PSA < 0.2 ng/ml, PET positivity rates of 46–47% have been reported [2, 4]. These rates are higher when compared with our analysis (43%). For PSA values up to 0.5 ng/ml, 38–58% PET positivity rates have been previously observed [3, 7]. These differences find explanation in the patient selection. As mentioned before, our exclusion criteria were stricter compared with previous studies thereby being closer to the “true rate” for this type of patients. In addition, we note that our data present with closer confidence intervals in the PSA subgroups (Fig. 1 and Table 2) compared with previous data [4], suggesting more precise estimations of the corresponding positivity rates.
As previously reported in different studies, also in our analysis, the rate of pathologic scans did not reach 100% because a proportion of PC does not sufficiently express PSMA. In some other cases, tumour lesions could potentially be obscured by excretion of [68Ga]Ga-PSMA-11 via the urinary tract.
Attention should be drawn to the fact that all PET positivity rates presented by this evaluation are only valid for scans conducted at 1 h p.i.. It is known from several publications including different PSMA ligands that scans at time points later than 1 h p.i. (e.g. 1.5 h or 3 h p.i.) show the majority of PC lesions with higher tracer uptake and contrast [1, 11–15], therefore resulting in higher numbers of detected PC lesions as well as a higher number of patients with a pathologic scan [16, 17]. Despite these data in favour of late scans, [68Ga]Ga-PSMA-11 PET/CT is routinely conducted at 1 h p.i. in the majority of centres, probably because of its first described clinical setup [1].
The multivariable analysis also demonstrated a significant association between a pathologic [68Ga]Ga-PSMA-11 PET/CT and higher GSC. In previous studies including bigger cohorts of patients with available GSC (n = 221–864), the association between GSC and a higher probability of a pathologic PET/CT was controversial [2–4]. With 2112 patients with available GSC information included in the current analysis (Table 1), we assume that our calculation is sufficiently powered. Also here, we note that our data present with closer confidence intervals in the GSC subgroups (Fig. 2 and Table 2) compared with previous data [4], suggesting more precise estimations of the corresponding positivity rates. The positive impact of higher GSC on PSMA-PET/CT is supported by preclinical studies in which a positive correlation between higher GSC and PSMA expression has been reported [18–20].
In accordance with previous publications including patient cohorts >n = 200 [2–4], we did not find an association between a pathologic scan and age or injected tracer doses. However, we note that the common doses of injected [68Ga]Ga-PSMA-11 (2–3 MBq/Kg body weight) are sufficient for imaging at 1 h p.i. With regard to the above-mentioned observation that later imaging seems superior, higher injected doses than 2–3 MBq/Kg body weight seem consequent.
In contrast to some studies including smaller patient cohorts [3, 8, 21, 22], our analyses showed no association between higher probabilities of a pathologic scan and PSADT or PSAVel, though the sample size for this analysis was still limited. Considering our data, a correlation between PSMA expression and tumour proliferation seems very unlikely. In fact, also our clinical experiences suggest that the contrast of PC lesions only depends on their PSMA expression: lesions of similar sizes and clinical constellations often present with different contrast—depending on their PSMA expression as shown by Fig. 3. We therefore assume that the statistical assessments of the mentioned studies including smaller patient cohorts were underpowered.
Beside the advantages of our current evaluation, namely, the more strict inclusion criteria, the huge cohort, the narrower confidence intervals and the multicentre character, we note several limitations of our study including the heterogeneity of imaging parameters such as diuretics administration. Recently, publications showed that the systematic administration of diuretics and hydration can help to increase tumour visibility [16, 23]. However, an early administration shortly after tracer injection could wash out the tracer before it had time to bind to PSMA, thereby reducing tumour visibility as well as image quality [23]. The optimal time of diuretics administration has yet to be defined. Our cohort also presents with many missing individual clinical data. For instance, we could not include an additional analysis of patients who had exclusively prostatectomy vs. those who had prostatectomy plus additional radiation therapy because data about the type of the radiation therapy (prostatic bed and/or lymphatic tract and/or concomitant temporary ADT) were insufficient.
Since 2018, it is known that ADT can make the results of PSMA imaging unpredictable. We therefore excluded patients who were treated with ADT within the last 6 months before the PET. Given the lack of evidence, it remains unclear whether 6 months free of ADT is sufficiently long for restoring the unaffected status of PSMA expression.
More limitations of our analysis are the lack of central standardized reading as well as the missing follow-up of patients in order to estimate the lesion-based negative and positive predictive values, commonly also referred to “specificity” of the methodology. One reason for the missing follow-up was that a substantial part of the patients was treated outside of our centres. Therefore, the access to reliable follow-up data was limited. However, with regard to biopsy- or histology-proven lesions, interpretation of retrospective data needs to be conducted with great caution because no standardized approach was followed: usually, mainly equivocal findings are further analysed by biopsy, thereby usually producing a bias. In addition, patients with multiple lymph nodes removed by surgery can also produce bias due to individual large number of tumour-affected lymph nodes. On the other hand, the excellent positive predictive value of [68Ga]Ga-PSMA-11 for recurrent PC has been demonstrated in a multitude of studies [2, 3, 7, 24–28]. According to these publications and our own experiences, any uptake of [68Ga]Ga-PSMA-11 above local background in morphologically visible lesions is highly specific for PC. Although PSMA ligand uptake has been reported for various benign and malignant tissues other than PC, their numbers are extremely low compared with those of PC lesions detected everyday by [68Ga]Ga-PSMA-11 PET/CT.
Conclusion
In this multicentre analysis including the largest cohort yet analysed, [68Ga]Ga-PSMA-11 PET/CT at 1 h p.i. confirmed its overall high performance for the detection of recurrent PC. The probability of a pathologic scan is significantly associated with higher PSA levels and higher GSC. No association was found between higher probabilities of a pathologic [68Ga]Ga-PSMA-11 PET/CT and other factors such as age, injected amount of tracer, PSADT and PSAVel.
Supplementary Information
Acknowledgments
We would like to express our deep gratitude to all individuals who helped to examine the patients, to collect clinical information about them and to analyse the data. We are also grateful to Dr. Ian Alberts for his scientific input and language editing of the manuscript.
Funding
Open Access funding provided by the University of Bern.
Compliance with ethical standards
This retrospective study was approved by the Ethics Committee of each institute (Technical University Munich: permit 5665/13), University of Heidelberg (permit S-321-2012) and Sao Paulo (permit 1.764.583). According to the ethics votes of all three centres, written informed consent of patients was not necessary in order to be included in this evaluation. All reported investigations were conducted in accordance with the Helsinki Declaration and with relevant national regulations (German Medicinal Products Act, AMG §13 2b).
Conflict of interest
All authors declare that they have no conflict of interest.
Footnotes
This article is part of the Topical Collection on Oncology - Genitourinary.
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Ali Afshar-Oromieh, Marcelo Livorsi da Cunha, Tim Holland-Letz and Isabel Rauscher contributed equally to this work.
References
- 1.Afshar-Oromieh A, Malcher A, Eder M, Eisenhut M, Linhart HG, Hadaschik BA, et al. PET imaging with a [68Ga]gallium-labelled PSMA ligand for the diagnosis of prostate cancer: biodistribution in humans and first evaluation of tumour lesions. Eur J Nucl Med Mol Imaging. 2013;40:486–495. doi: 10.1007/s00259-012-2298-2. [DOI] [PubMed] [Google Scholar]
- 2.Afshar-Oromieh A, Avtzi E, Giesel FL, Holland-Letz T, Linhart HG, Eder M, et al. The diagnostic value of PET/CT imaging with the (68)Ga-labelled PSMA ligand HBED-CC in the diagnosis of recurrent prostate cancer. Eur J Nucl Med Mol Imaging. 2015;42:197–209. doi: 10.1007/s00259-014-2949-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Eiber M, Maurer T, Souvatzoglou M, Beer AJ, Ruffani A, Haller B, et al. Evaluation of hybrid (6)(8)Ga-PSMA ligand PET/CT in 248 patients with biochemical recurrence after radical prostatectomy. J Nucl Med. 2015;56:668–674. doi: 10.2967/jnumed.115.154153. [DOI] [PubMed] [Google Scholar]
- 4.Afshar-Oromieh A, Holland-Letz T, Giesel FL, Kratochwil C, Mier W, Haufe S, et al. Diagnostic performance of (68)Ga-PSMA-11 (HBED-CC) PET/CT in patients with recurrent prostate cancer: evaluation in 1007 patients. Eur J Nucl Med Mol Imaging. 2017;44:1258–1268. doi: 10.1007/s00259-017-3711-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Fendler WP, Calais J, Allen-Auerbach M, Bluemel C, Eberhardt N, Emmett L, et al. (68)Ga-PSMA-11 PET/CT interobserver agreement for prostate cancer assessments: an international multicenter prospective study. J Nucl Med. 2017;58:1617–1623. doi: 10.2967/jnumed.117.190827. [DOI] [PubMed] [Google Scholar]
- 6.Ceci F, Bianchi L, Borghesi M, Polverari G, Farolfi A, Briganti A, et al. Prediction nomogram for (68)Ga-PSMA-11 PET/CT in different clinical settings of PSA failure after radical treatment for prostate cancer. Eur J Nucl Med Mol Imaging. 2020;47:136–146. doi: 10.1007/s00259-019-04505-2. [DOI] [PubMed] [Google Scholar]
- 7.Fendler WP, Calais J, Eiber M, Flavell RR, Mishoe A, Feng FY, et al. Assessment of 68Ga-PSMA-11 PET accuracy in localizing recurrent prostate cancer: a prospective single-arm clinical trial. JAMA Oncol. 2019;5(6):856–863. doi: 10.1001/jamaoncol.2019.0096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Ceci F, Uprimny C, Nilica B, Geraldo L, Kendler D, Kroiss A, et al. (68)Ga-PSMA PET/CT for restaging recurrent prostate cancer: which factors are associated with PET/CT detection rate? Eur J Nucl Med Mol Imaging. 2015;42:1284–1294. doi: 10.1007/s00259-015-3078-6. [DOI] [PubMed] [Google Scholar]
- 9.Afshar-Oromieh A, Debus N, Uhrig M, Hope TA, Evans MJ, Holland-Letz T, et al. Impact of long-term androgen deprivation therapy on PSMA ligand PET/CT in patients with castration-sensitive prostate cancer. Eur J Nucl Med Mol Imaging. 2018;45:2045–2054. doi: 10.1007/s00259-018-4079-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Eder M, Neels O, Muller M, Bauder-Wust U, Remde Y, Schafer M, et al. Novel preclinical and radiopharmaceutical aspects of [68Ga]Ga-PSMA-HBED-CC: a new PET tracer for imaging of prostate Cancer. Pharmaceuticals. 2014;7:779–796. doi: 10.3390/ph7070779. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Herrmann K, Bluemel C, Weineisen M, Schottelius M, Wester HJ, Czernin J, et al. Biodistribution and radiation dosimetry for a probe targeting prostate-specific membrane antigen for imaging and therapy. J Nucl Med. 2015;56:855–861. doi: 10.2967/jnumed.115.156133. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Afshar-Oromieh A, Hetzheim H, Kratochwil C, Benesova M, Eder M, Neels OC, et al. The Theranostic PSMA ligand PSMA-617 in the diagnosis of prostate Cancer by PET/CT: biodistribution in humans, radiation Dosimetry, and first evaluation of tumor lesions. J Nucl Med. 2015;56:1697–1705. doi: 10.2967/jnumed.115.161299. [DOI] [PubMed] [Google Scholar]
- 13.Afshar-Oromieh A, Hetzheim H, Kubler W, Kratochwil C, Giesel FL, Hope TA, et al. Radiation dosimetry of (68)Ga-PSMA-11 (HBED-CC) and preliminary evaluation of optimal imaging timing. Eur J Nucl Med Mol Imaging. 2016;43:1611–1620. doi: 10.1007/s00259-016-3419-0. [DOI] [PubMed] [Google Scholar]
- 14.Rahbar K, Afshar-Oromieh A, Bogemann M, Wagner S, Schafers M, Stegger L, et al. (18)F-PSMA-1007 PET/CT at 60 and 120 minutes in patients with prostate cancer: biodistribution, tumour detection and activity kinetics. Eur J Nucl Med Mol Imaging. 2018;45:1329–1334. doi: 10.1007/s00259-018-3989-0. [DOI] [PubMed] [Google Scholar]
- 15.Alberts I, Sachpekidis C, Gourni E, Boxler S, Gross T, Thalmann G, et al. Dynamic patterns of [(68)Ga]Ga-PSMA-11 uptake in recurrent prostate cancer lesions. Eur J Nucl Med Mol Imaging. 2020;47:160–167. doi: 10.1007/s00259-019-04545-8. [DOI] [PubMed] [Google Scholar]
- 16.Haupt F, Dijkstra L, Alberts I, Sachpekidis C, Fech V, Boxler S, et al. (68)Ga-PSMA-11 PET/CT in patients with recurrent prostate cancer-a modified protocol compared with the common protocol. Eur J Nucl Med Mol Imaging. 2020;47:624–631. doi: 10.1007/s00259-019-04548-5. [DOI] [PubMed] [Google Scholar]
- 17.Afshar-Oromieh A, Sattler LP, Mier W, Hadaschik BA, Debus J, Holland-Letz T, et al. The clinical impact of additional late PET/CT imaging with (68)Ga-PSMA-11 (HBED-CC) in the diagnosis of prostate Cancer. J Nucl Med. 2017;58:750–755. doi: 10.2967/jnumed.116.183483. [DOI] [PubMed] [Google Scholar]
- 18.Marchal C, Redondo M, Padilla M, Caballero J, Rodrigo I, Garcia J, et al. Expression of prostate specific membrane antigen (PSMA) in prostatic adenocarcinoma and prostatic intraepithelial neoplasia. Histol Histopathol. 2004;19:715–718. doi: 10.14670/HH-19.715. [DOI] [PubMed] [Google Scholar]
- 19.Kasperzyk JL, Finn SP, Flavin R, Fiorentino M, Lis R, Hendrickson WK, et al. Prostate-specific membrane antigen protein expression in tumor tissue and risk of lethal prostate cancer. Cancer Epidemiol Biomark Prev. 2013;22:2354–2363. doi: 10.1158/1055-9965.EPI-13-0668. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Minner S, Wittmer C, Graefen M, Salomon G, Steuber T, Haese A, et al. High level PSMA expression is associated with early PSA recurrence in surgically treated prostate cancer. Prostate. 2011;71:281–288. doi: 10.1002/pros.21241. [DOI] [PubMed] [Google Scholar]
- 21.Akdemir EN, Tuncel M, Akyol F, Bilen CY, Baydar DE, Karabulut E, et al. (68)Ga-labelled PSMA ligand HBED-CC PET/CT imaging in patients with recurrent prostate cancer. World J Urol. 2018;37(5):813–821. doi: 10.1007/s00345-018-2460-y. [DOI] [PubMed] [Google Scholar]
- 22.Aydin AM, Haberal B, Artykov M, Bilen CY, Yazici S. Clinicopathological predictors of positive (68)Ga-PSMA-11 PET/CT in PSA-only recurrence of localized prostate cancer following definitive therapy. Ann Nucl Med. 2019;33(5):326–332. doi: 10.1007/s12149-019-01340-1. [DOI] [PubMed] [Google Scholar]
- 23.Derlin T, Weiberg D, von Klot C, Wester HJ, Henkenberens C, Ross TL, et al. (68)Ga-PSMA I&T PET/CT for assessment of prostate cancer: evaluation of image quality after forced diuresis and delayed imaging. Eur Radiol. 2016;26:4345–4353. doi: 10.1007/s00330-016-4308-4. [DOI] [PubMed] [Google Scholar]
- 24.Sahlmann CO, Meller B, Bouter C, Ritter CO, Strobel P, Lotz J, et al. Biphasic (6)(8)Ga-PSMA-HBED-CC-PET/CT in patients with recurrent and high-risk prostate carcinoma. Eur J Nucl Med Mol Imaging. 2016;43:898–905. doi: 10.1007/s00259-015-3251-y. [DOI] [PubMed] [Google Scholar]
- 25.Herlemann A, Wenter V, Kretschmer A, Thierfelder KM, Bartenstein P, Faber C, et al. (68)Ga-PSMA positron emission tomography/computed tomography provides accurate staging of lymph node regions prior to lymph node dissection in patients with prostate cancer. Eur Urol. 2016;70:553–557. doi: 10.1016/j.eururo.2015.12.051. [DOI] [PubMed] [Google Scholar]
- 26.Maurer T, Weirich G, Schottelius M, Weineisen M, Frisch B, Okur A, et al. Prostate-specific membrane antigen-radioguided surgery for metastatic lymph nodes in prostate cancer. Eur Urol. 2015;68:530–534. doi: 10.1016/j.eururo.2015.04.034. [DOI] [PubMed] [Google Scholar]
- 27.Pfister D, Porres D, Heidenreich A, Heidegger I, Knuechel R, Steib F, et al. Detection of recurrent prostate cancer lesions before salvage lymphadenectomy is more accurate with (68)Ga-PSMA-HBED-CC than with (18)F-Fluoroethylcholine PET/CT. Eur J Nucl Med Mol Imaging. 2016;43:1410–1417. doi: 10.1007/s00259-016-3366-9. [DOI] [PubMed] [Google Scholar]
- 28.Hijazi S, Meller B, Leitsmann C, Strauss A, Meller J, Ritter CO, et al. Pelvic lymph node dissection for nodal oligometastatic prostate cancer detected by 68Ga-PSMA-positron emission tomography/computerized tomography. Prostate. 2015;75:1934–1940. doi: 10.1002/pros.23091. [DOI] [PubMed] [Google Scholar]
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