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Meta-analysis of 18 F-PSMA-1007 PET/CT, 18 F-FDG PET/CT, and 68Ga-PSMA PET/CT in diagnostic efficacy of prostate Cancer

Cancer Imaging volume 23, Article number: 77 (2023) Cite this article

Abstract

Objective

To compare 18 F-PSMA-1007 PET/CT, 18 F-FDG PET/CT and 68Ga-PSMA PET/CT in the diagnostic value of prostate cancer.

Method

The Chinese and foreign databases, such as Pubmed, Cochrane Library, Embase, CNKI, VIP, Wanfang, etc., were systematically searched within the period from the establishment of the database to June 1, 2022. Clinical studies related to the diagnosis of prostate cancer by methods such as 18 F-PSMA-1007 PET/CT, 18 F-FDG PET/CTCT, 68Ga-PSMA PET/CT, were researched. Two (2) investigators independently screened literatures, extracted data, and assessed the risk of bias when these data were included in the studies with the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2). Review Manager5.4, Stata 14.0, and Meta-disc 1.4 software were used for meta-analysis to compare the efficacy of different methods in the diagnose of prostate cancer.

Results

Twenty-seven (27) studies, including 2891 subjects were included in our study. Meta-analysis results showed that the pooled sensitivities of 18 F-PSMA-1007 PET/CT, 18 F-FDG PET/CT, and 68Ga-PSMA PET/CT were 0.912 (95%CI: 0.883–0.936), 0.748 (95%CI: 0.698–0.795), and 0.916 (95%CI: 0.896–0.934), respectively; the pooled specification were 0.878 (0.844–0.907), 0.639 (95%CI: 0.589–0.687), and 0.734 (95%CI: 0.685–0.779), respectively; the positive likelihood ratios were 6.335 (95%CI: 4.288–9.357), 2.282 (95%CI: 1.497–3.477), and 3.593 (95%CI: 2.986–4.323), respectively; the negative likelihood ratios were 0.878 (95%CI: 0.844–0.907), 0.374 (95%CI: 0.280–0.499), and 0.110 (95%CI: 0.083–0.144), respectively; the diagnostic odds ratios were 65.125 (95%CI: 34.059–124.53), 7.094 (95%CI: 4.091–12.301), and 29.722 (95%CI: 20.141–43.863), respectively; the positive posterior probability was 64%, 38%, and 62%, respectively; the area under the SPOC curve was 0.95 (95%CI: 0.93–0.97), 0.81 (95%CI: 0.78–0.84), and 0.96 (95%CI: 0.92–0.98), respectively. The funnel plots indicated that there was no significant publication bias in the included literatures.

Conclusion

The current evidences showed that 18 F-PSMA-1007 PET/CT and 68Ga-PSMA PET/CT had higher diagnostic efficacy of prostate cancer compared with 18 F-FDG PET/CT, among which 68Ga-PSMA PET/CT was slightly higher in the sensitivity of the diagnosis of prostate cancer, while 18 F-PSMA-1007 PET/CT may have higher efficacy in specificity and confirmed positive rate. Due to the limitations of the quality of the included samples and literatures, the above conclusions should be further validated by expanding the sample size and improving the quality.

Introduction

Prostate cancer (PCa) is a common genitourinary malignant tumor and the fifth leading cause of death in men due to cancer [1]. The survey in 2018 showed that there were about 1.3 million new cases worldwide and about 359,000 related deaths about PCa [2]. In recent years, the incidence of prostate cancer has been increasing with the aging of the population, and the challenges in the related health resources are also becoming more and more severe. The prostate cancer has an insidious onset in the early stage, and is lack of specificity in clinical manifestations. Most patients are often accompanied by invasion and metastasis when they have clinical symptoms. As a common malignant tumor leading to the death of men worldwide, the pathological characteristics and clinical manifestations of prostate cancer often have significant heterogeneity, which is reflected in not only different individuals, but even the same patient [3, 4]. Although the diagnosis and treatment of PCa has developed rapidly in recent decades, the highly heterogeneous pathological characteristics of PCa increase the difficulty in clinical diagnosis and staging, and are still important factors affecting the early screening of high-risk PCa populations. Medical imaging examinations have always played an important role in the diagnosis and treatment of PCa. As the treatment protocol for PCa has gradually become more individualized in recent years, the selection of imaging methods is critical to accurately assessing the diagnosis, staging, and retesting of PCa patients.

Clinically, the diagnosis, staging, and bone metastasis of PCa mainly rely on the detection of serum prostate-specific antigen (PSA) test in combination with imaging means such as CT, MRI, and systematic bone scans, which still have the risk of negative or false positive results [5]. In recent years, radionuclide-labeled targeted molecular imaging has shown good prospects in the clinical application of PCa, and has become a key point of the studies on disease diagnosis, treatment, biochemistry and recurrence [6, 7]. As a new diagnostic technology widely used in clinical practice, PET/CT can significantly improve the accuracy of clinical disease diagnosis since it incorporates the advantages of anatomy, functional metabolic imaging and molecular imaging, and has become an important means for diagnosing PCa [8]. Correspondingly, the types of PET/CT imaging agents have gradually increased with the development of PET/CT, such as 18 F-PSMA, 18 F-FDG, 68Ga-PSMA, 11c-choline, etc.The application of these imaging agents has improved the sensitivity and specificity of PET/CT in diagnosis of PCa, and prolonged the survival of patients [9, 10].

Prostate-specific membrane antigen (PSMA) is an important target for PET/CT diagnosis of PCa patients. PSMA corresponds to PCa grading and staging in the histopathological expression level. It is related to the invasion, metastasis and recurrence of prostate tumors, helps to diagnose tumors in other organs based on the expression in the neovascular endothelium, and promotes the development of many PSMA ligand-related targeted radiopharmaceuticals at the same time [11]. The nuclide 68Ga is the first specific imaging agent used to label PSMA because of the characteristics of high positron energy and short half-life. Studies have confirmed that the PET/CT using 68Ga-PSMA was satisfactory in sensitivity and specificity for the diagnosis of PCa. The nuclide 18 F has a longer half-life and better pharmacokinetics, resulting in a higher radioactive uptake rate [12]. 18 F-FDG, as the earliest imaging agent used in PET/CT, is involved in the body’s glucose metabolism, and differentiates tumor lesions from other tissues by glucose utilization, which can also better reflect tumor progression [13]. At present, there are differences in energy intake and pharmacokinetics of different imaging agents, and different imaging methods have different diagnostic criteria for PCa, resulting in controversial accuracy for PCa by 18 F-PSMA-1007 PET/CT, 18 F-FDG PET/CT, and 68Ga-PSMA PET/CT. Therefore, this study analyzed and compared 18 F-PSMA-1007 PET/CT, 18 F-FDG PET/CT, and 68Ga-PSMA PET/CT in the diagnostic efficacy of PCa in order to provide more reference and evidences for the selection of clinical imaging examination protocols.

Materials and methods

Search strategy

The Chinese and foreign databases, such as Pubmed, Cochrane Library, Embase, CNKI, VIP, Wanfang, etc., were systematically searched within the period from the establishment of the database to June 1, 2022, in order to collect data in clinical studies related to the diagnosis of PCa by methods such as 18 F-PSMA-1007 PET/CT, 18 F-FDG PET/CTCT, 68Ga-PSMA PET/CT, etc. A combination of database search and manual search was used to set subject headings/abstract words, including prostate cancer, prostate tumor, prostate-specific membrane antigen, diagnosis, PET/CT, radioisotopes (Chinese, English), etc. The specific search strategy was adjusted according to the characteristics of the database searched. Taking Cochrane Library as an example, the specific search strategy was shown in Fig. 1.

Fig. 1
figure 1

Search strategy for Cochrane Library

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Inclusion/exclusion criteria

Inclusion criteria: ① Literatures on diagnostic studies of 18 F-PSMA-1007PET/CT and/or 18 F-FDG PET/CT and/or 68Ga-PSMA PET/CT in the detection of primary PCa; ② Before receiving the above imaging examination, the patient did not receive any prostate-related surgery; ③ The pathology test results were used as the gold standards; ④ The paper was written in Chinese or English.

Exclusion criteria: ① Repeated publications; ② Studies without outcome indicators, case reports, overview, conference abstracts, and studies targeted to animals and cells; ③ Literatures from which the data related to the true positive value (TP), the false positive value (FP), the true negative value (TN), and the false negative value (FN) cannot be extracted.

Literature screening and data extraction

All included literatures were screened independently by two reviewers. Preliminary screening was carried out by reading the article titles and abstracts to exclude irrelevant literatures. According to the inclusion and exclusion criteria established in the study, re-screening was completed after reading the full text, and data were extracted from the literatures, including: first author, publication year, country, sample size, TP, FP, TN, and FN.

Quality assessment

The QUADAS-2 scale [14] was used as the quality assessment tool to assess the risk of bias and applicability of the literatures. The scale includes four areas including case selection, diagnostic tests to be evaluated, gold standards, and the case flow and the time interval between the diagnostic tests and the implementation of the gold standards. Risks in each area were assessed as Low Risk, High Risk, and Unclear Risk. Two reviewers independently assessed the risk of bias in the included literatures, cross-checked the assessment results, and resolved controversial results by discussion or third-party review.

Statistical analysis

Statistical analysis was performed using Review Manager5.4, Stata 14.0, and Meta-disc 1.4 software. The literatures related to 18 F-PSMA-1007PET/CT and/or 18 F-FDG PET/CT and/or 68Ga-PSMA PET/CT were calculated for pooled sensitivity (SEN), pooled specificity (SPE), positive likelihood ratio (LR+), negative likelihood ratio (LR-), diagnostic odds ratio (DOR), and positive posterior probability (PPP), respectively, plotted for the Summary Receiver Operating Characteristic (SROC) and calculated for the area under the curve. Q-test and I2 were used to test for heterogeneity. When both p > 0.1 and I2 ≤ 40% were satisfied, a fixed effects model was used. A random effects model was used considering heterogeneity among studies. Moreover, Meta regression analysis was used to identify the potential source of heterogeneity. Meta-analysis level α was setted as 0.05; Deek’s funnel plots were drawn to test for publication bias.

Results

Literature screening results and general characteristics

According to the search results, a total of 368 studies were included in the initial stage, of which 111 duplicate literatures were deleted, and 194 studies of irrelevant, individual case, systematic overview, etc. were excluded from 257 studies screened after title and abstract reading. The full text of the remaining 63 studies was read, and 27 studies that met the inclusion criteria were finally identified [15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41] according to the inclusion/exclusion criteria, including 2891 patients, of which 18 F-PSMA-1007PET/CT involved 8 papers, 18 F-FDG PET/CT involved 9 papers, and 68Ga-PSMA PET/CT involved 11 papers. The general characteristics of the included studies were shown in Table 1. The specific literature screening process and results were shown in Fig. 2.

Table 1 General characteristics of the included literatures
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Fig. 2
figure 2

Literature screening process and results

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*Literatures searched in each database: Pubmed (n = 13), Cochrane library (n = 18), Embase (n = 176), CNKI (n = 34), Wanfang (n = 80), VIP (n = 47).

Quality assessment results

The pathological biopsy was used as the only gold standard, and the quality assessment results of the QUADAS-2 scale showed in four areas, “unclear risk” was mainly observed in the first signal “Is there an appropriate time interval between the trial to be evaluated and the gold standard?“ in the “case flow and the time interval between the diagnostic tests and the implementation of the gold standards”. In addition, although a few literatures showed “high risk”, the overall quality of the included literatures was more credible, and the overall applicability was satisfactory, as shown in Fig. 3.

Fig. 3
figure 3

Quality assessment results of included literatures

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Meta-analysis results

The 27 literatures included in the study were pooled and analyzed, and the forest plots (Fig. 4, Fig. 5, Fig. 6) and SROCs (Fig. 7) were drawn for the three diagnostic methods of 18 F-PSMA-1007 PET/CT, 18 F-FDG PET/CT, and 68Ga-PSMA PET/CT. The results showed that the pooled sensitivities of 18 F-PSMA-1007 PET/CT, 18 F-FDG PET/CT, and 68Ga-PSMA PET/CT were 0.912 (95%CI: 0.883–0.936), 0.748 (95%CI: 0.698–0.795), and 0.916 (95%CI: 0.896–0.934), respectively; the pooled specificities were 0.878 (0.844–0.907), 0.639 (95%CI: 0.589–0.687), and 0.734 (95%CI: 0.685–0.779), respectively; the positive likelihood ratios were 6.335 (95%CI: 4.288–9.357), 2.282 (95%CI: 1.497–3.477), and 3.593 (95%CI: 2.986–4.323), respectively; the negative likelihood ratios were 0.878 (95%CI: 0.844–0.907), 0.374 (95%CI: 0.280–0.499), and 0.110 (95%CI: 0.083–0.144), respectively; the diagnostic odds ratios were 65.125 (95%CI: 34.059–124.53), 7.094 (95%CI: 4.091–12.301), and 29.722 (95%CI: 20.141–43.863), respectively; the area under the SPOC curve was 0.95 (95%CI: 0.93–0.97), 0.81 (95%CI: 0.78–0.84), and 0.96 (95%CI: 0.92–0.98), respectively.

Fig. 4
figure 4

Forest plot of 18 F-PSMA-1007 PET/CT in the diagnostic efficacy of PCa

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Fig. 5
figure 5

Forest plot of 18 F-FDG PET/CT in the diagnostic efficacy of PCa

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Fig. 6
figure 6

Forest plot of 68 F-Ga-PSMA PET/CT in the diagnostic efficacy of PCa

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Fig. 7
figure 7

SROCs of 18 F-PSMA-1007 PET/CT (left), 18 F-FDG PET/CT (middle), and 68Ga-PSMA PET/CT (right)

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Heterogeneity analysis

Since Q = 0.068 (P = 0.483) and I2 = 0% in the 18 F-PSMA-1007 PET/CT heterogeneity test, Q = 35.148 (P = 0.000) and I2 = 94% in the 18 F-FDG PET/CT heterogeneity test, and Q = 11.472 (P = 0.002) and I2 = 83% in the 18Ga-PSMA PET/CT heterogeneity test, the random effects model was used. The Spearman correlation coefficient was used to explore the threshold effect, and the results showed that the Spearman correlation coefficients of 18 F-PSMA-1007 PET/CT (left), 18 F-FDG PET/CT (middle), and 68Ga-PSMA PET/CT were − 0.214 (P = 0.645), 0.377 (P = 0.318), and − 0.333 (P = 0.318), respectively, suggesting that there was no significant threshold effect.

Meta regression analysis and subgroup analysis

In order to explore the potential sources of heterogeneity in this study, 18Ga-PSMA PET/CT (included literature n = 11 > 10) was subjected to the Meta regression analysis with the “Publication Year”, “Study Type”, “Sample Size” and “Publication Region/Country” as covariates. Since less than 10 papers related to 18 F-PSMA-1007 PET/CT and 18 F-FDG PET/CT were included in the study, the Meta regression analysis was not performed. The results of Meta regression analysis showed “Publication Year " (P = 0.911), “Study Type” (P = 0.556), “Sample Size” (P = 0.136), “Publication Region/Country” (P = 0.652), the P value of “sample size” is closer to 0.05, suggesting that the sample size may be the potential source of heterogeneity in 18Ga-PSMA PET/CT study, but the current evidence is not clear (P > 0.05). Therefore, a subgroup analysis of “Sample Size” was further conducted (0: n < 50, 1: n ≥ 50), and the results showed that the heterogeneity was related to the sample size (I2 = 79%, P = 0.000) (Fig. 8).

Fig. 8
figure 8

Subgroup analysis of the relevance to sample size in 18Ga-PSMA PET/CT study

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Clinical analysis

Post-test probability (the estimated incidence after the diagnostic test) was analyzed using Fagan plots. The results showed that when the pre-test probability of diagnosing PCa was defined as 0.20, the PPPs of 18 F-PSMA-1007 PET/CT, 18 F-FDG PET/CT, and 68Ga-PSMA PET/CT were 64%, 38%, and 62%, respectively (Fig. 9).

Fig. 9
figure 9

Fagan plot of 18 F-PSMA-1007 PET/CT (a), 18 F-FDG PET/CT (b) and 18Ga-PSMA PET/CT (c)

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Publication bias test

The results of Deek’s funnel plot test showed that the related studies of 18 F-PSMA-1007 PET/CT, 18 F-FDG PET/CT, and 68Ga-PSMA PET/CT were almost symmetrical, and the P values were 0.160, 0.482, and 0.153, respectively, indicating that there was no significant in publication bias, as shown in Fig. 10.

Fig. 10
figure 10

Funnel plot of 18 F-PSMA-1007 PET/CT (a), 18 F-FDG PET/CT (b) and 18Ga-PSMA PET/CT (c)

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Discussions

In this study, a meta-analysis was carried out for the diagnostic efficacy of PET/CT with different imaging agents, and the results suggested that 18 F-PSMA-1007 PET/CT and 68Ga-PSMA PET/CT had higher diagnostic efficacy of prostate cancer compared with 18 F-FDG PET/CT, among which 68Ga-PSMA PET/CT was slightly higher in the sensitivity of the diagnosis of prostate cancer, while 18 F-PSMA-1007 PET/CT may have higher efficacy in specificity and confirmed positive rate.

Meta-analysis results showed that the SENs of 18 F-PSMA-1007 PET/CT, 18 F-FDG PET/CT, and 68Ga-PSMA PET/CT were 0.912, 0.748, and 0.916, respectively, and the SPEs were 0.878, 0.639, and 0.734, respectively, suggesting that 18 F-PSMA-1007 PET/CT and 68Ga-PSMA PET/CT were superior to 18 F-FDG PET/CT in the diagnostic accuracy, and 68Ga-PSMA PET/CT showed higher sensitivity in the diagnosis of PCa. While 18 F-PSMA-1007 PET/CT showed higher specificity. Zhou et al. [42] also concluded that 18 F-FDG PET/CT has lower accuracy than other methods in the comparison of the diagnostic efficacy of PET/CT with different imaging agents. In addition, the DORs of the other three methods were 65.125, 7.094, and 29.722, respectively, suggesting that 18 F-PSMA-1007 PET/CT had higher differentiation. The LR + values were 6.335, 2.282, and 3.593, respectively, and the LR- values were 0.878, 0.374, and 0.110, respectively, indicating that 18 F-PSMA-1007 PET/CT had higher PCa positive diagnostic value, but 68Ga-PSMA PET/CT had higher accuracy in the negative monitoring results. The areas under the SPOC curves were 0.95, 0.81, and 0.96, respectively, indicating that 18 F-PSMA-1007 PET/CT and 68Ga-PSMA PET/CT had higher diagnostic efficacy. Analysis of Fagan plots showed that when the pre-test probability of diagnosing PCa was defined as 0.20, the PPPs were 64%, 38%, and 62%, respectively, i.e., when the probability of PCa was 20% based on clinical manifestations, the PCa diagnosis probability of the three PET/CT methods were 64%, 38%, and 62%, respectively, suggesting that 18 F-PSMA-1007 PET/CT may detect other PCa-related lesions, which was consistent with the findings of Kuten et al. [43].

The heterogeneity analysis in this study found that the “Sample Size” may be a potential source of bias in the meta-analysis of 68Ga-PSMA PET/CT. Since the heterogeneity test found that there was significant heterogeneity in the results of the three groups, the 68Ga-PSMA PET/CT that met the requirements of Meta regression analysis was analyzed. Although the results did not show the potential source of heterogeneity at P < 0.05, the P value of “Sample Size” was relatively small, so this factor was highly suspected as a potential source of heterogeneity. However, this meta-regression analysis did not yield satisfactory results due to the effects of the number of included literatures (just meeting the requirement of Meta regression literatures ≥ 10) and the quality of the literatures. Therefore, a subgroup analysis of “Sample Size” was further conducted (0: n < 50, 1: n ≥ 50), and the results validated that the heterogeneity was related to the sample size (I2 = 79%, P = 0.000). Therefore, the heterogeneity analysis in this study was more reliable.

This study has certain limitations: (1)The included literatures lack multi-center large-sample studies, which has a certain impact on the quality of the literatures and the source of heterogeneity, and may affect the accuracy of the results; (2)The time interval between imaging examination and gold standard examination was not clear in many included literatures, so various biases cannot be avoided; (3) Since there were unclear time intervals between the imaging test and the gold standard in many included literatures, many biases cannot be avoided; (4) The included studies have certain clinical heterogeneity, such as inconsistency in PET/CT models and operators, which may become sources of heterogeneity; (5) Subtypes of prostate cancer and differences in diagnostic efficacy of different imaging agents were not mentioned in the included literature. Therefore, the impact of PCa subtypes was not investigated in this study.

Conclusion

In conclusion, 18 F-PSMA-1007 PET/CT and 68Ga-PSMA PET/CT had higher diagnostic efficacy of PCa compared with 18 F-FDG PET/CT, among which 68Ga-PSMA PET/CT was slightly higher in the sensitivity of the diagnosis of PCa, while 18 F-PSMA-1007 PET/CT may have higher efficacy in specificity and confirmed positive rate. However, due to the limitations of the quality of the included samples and literatures, the above conclusions still should be further validated by expanding the sample size and improving the quality.

Data Availability

Not applicable.

Abbreviations

QUADAS-2:

Quality Assessment of Diagnostic Accuracy Studies

PCa:

Prostate cancer

PSA:

Serum prostate-specific antigen

PSMA:

Prostate-specific membrane antigen

TP:

True positive value

FP:

False positive value

TN:

The true negative value

FN:

False negative value

SEN:

Pooled sensitivity

SPE:

Pooled specificity

LR + :

Positive likelihood ratio

LR-:

Negative likelihood ratio

DOR:

Diagnostic odds ratio

PPP:

Positive posterior probability

SROC:

Summary Receiver Operating Characteristic

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Funding

This work was supported by National Administration of Traditional Chinese Medicine inheritance and innovation “millions of millions” talent project of China andQihuang Scholar Funding Program (Chinese Medicine and Education Department No.6 Official letter in 2022).

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Authors and Affiliations

  1. Department of Andrology, Xiyuan Hospital of China Academy of Chinese Medical Sciences, No.1, R. Xiyuangcaochang, District Haidian, Beijing, 100091, China

    Wenxiao Yu, Yingjun Deng, Shengjing Liu, Guanchao Du, Bin Yan, Ziwei Zhao & Jun Guo

  2. Post-doctoral Research Station, Xiyuan Hospital of China Academy of Chinese Medical Sciences, No.1, R. Xiyuangcaochang, District Haidian, Beijing, 100091, China

    Wenxiao Yu & Ning Sun

  3. Graduate School, Beijing University of Chinese Medicine, 11 North Third Ring East Road, Chaoyang, Beijing, China

    Ming Zhao

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Contributions

Wenxiao Yu: Writing- Original draft preparation. Ming Zhao, Yingjun Deng and Shengjing Liu: Validation. Guanchao Du and Ziwei Zhao: Data curation. Bin Yan: Methodology. Ning Sun and Jun Guo: Writing-Reviewing and Editing, Funding acquisition.

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Yu, W., Zhao, M., Deng, Y. et al. Meta-analysis of 18 F-PSMA-1007 PET/CT, 18 F-FDG PET/CT, and 68Ga-PSMA PET/CT in diagnostic efficacy of prostate Cancer. Cancer Imaging 23, 77 (2023). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s40644-023-00599-y

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Keywords

Cancer Imaging

ISSN: 1470-7330

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