Yuefu Zhan1,2
Guangming Zhang
Mingliang Li- 1West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- 2Department of Radiology, Hainan Women and Children's Medical Center, Hainan, China
- 3School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States
Purpose: A recent meta-analysis in patients with non-small cell lung cancer showed no difference between whole-body magnetic resonance imaging (WBMRI) and positron emission tomography/computed tomography (PET/CT), but no such study is available for prostate cancer (PCa). This study aimed to compare WBMRI and PET/CT for bone metastasis detection in patients with PCa.
Materials and Methods: PubMed, Embase, and the Cochrane library were searched for papers published up to April 2020. The population was the patients with untreated prostate cancer diagnosed by WBMRI or PET/CT. The outcomes were the true positive and negative and false positive and negative rates for WBMRI and PET/CT. The summarized sensitivity, specificity, positive likelihood ratios (PLR), negative likelihood ratios (NLR), and diagnostic odds ratios (DOR) were calculated with their 95% confidence intervals (CIs).
Results: Four prospective and one retrospective study are included (657 patients). Significant differences are observed between WBMRI and PET/CT for sensitivity (WBMRI/PET/CT: 0.896; 95% CI: 0.813–0.987; P = 0.025) and NLR (WBMRI/PET/CT: 2.38; 95% CI: 1.13–5.01; P = 0.023), but not for specificity (WBMRI/PET/CT: 0.939; 95% CI: 0.855–1.031; P = 0.184) and PLR (WBMRI/PET/CT: 0.42; 95% CI: 0.08–2.22; P = 0.305). WBMRI has a similar a DOR compared with PET/CT (WBMRI/PET/CT: 0.13; 95% CI: 0.02–1.11; P = 0.062). The summary area under the receiver operating characteristic curves for WBMRI is 0.88 (standard error: 0.032) and 0.98 (standard error: 0.013) for PET/CT for diagnosing bone metastases in PCa.
Conclusion: PET/CT presents a higher sensitivity and NLR for the bone metastasis detection from PCa, whereas no differences are found for specificity and PLR, compared with WBMRI.
Introduction
Prostate cancer (PCa) is the most common cancer in males and among the most lethal cancers in men worldwide (1, 2, 12). About 10% of patients with PCa have bone metastasis at presentation, with a rate as high as 80% for patients with advanced PCa (3, 4), and about 33% of the remaining patients will develop metastases during follow-up (5, 6). In addition, patients presenting small numbers of metastases have a better prognosis than those with a widespread disease (7) and may benefit from salvage targeted therapies in the metastatic setting (8, 12).
In patients with PCa in whom distant metastases are suspected, whole-body imaging (WBI) (head, neck, torso, and the proximal part of the limbs) can be used to guide the treatments (8, 12). Among the available modalities, 18F-fluoride (NaF) positron emission tomography/computed tomography (PET/CT), 18F-fluorocholine (FCH) PET/CT, and whole-body magnetic resonance imaging (WBMRI) have been proposed for PCa metastasis detection (9, 10, 38). WBMRI enables the detection of lymph node metastases and distant metastases in one test (11). Multi-parametric MRI has a better performance than a classical bone scan and targeted X-ray for detecting bone metastasis (12) and might have better performance than PET/CT (13, 14). Choline PET/CT may have a better detection rate of bone metastases compared to bone scans at the initial staging or restaging after a biochemical recurrence in men with PCa (15). 18F-choline PET may have poor sensitivity but high specificity for bone metastasis detection in men with PCa (16).
A recent meta-analysis has compared the diagnostic performance in staging between WBMRI and PET/CT in patients with non-small cell lung cancer and showed no difference between the two imaging modalities (17). There are no guidelines specific to the diagnosis of bone metastases in PCa, and there are no meta-analyses comparing WBMRI and PET/CT in PCa.
Therefore, the aim of this meta-analysis was to compare WBMRI and PET/CT for bone metastasis detection in patients with PCa. The results could provide some guidance for the treatment strategy of patients with PCa.
Materials and Methods
Literature Search
This meta-analysis was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (18). Papers published up to April 2020 were searched for in PubMed, Embase, and the Cochrane library using the MeSH term “Prostatic Neoplasms,” and relevant keywords such as “whole-body magnetic resonance imaging.” The relevant articles were searched for using the PICO principle (19), followed by screening based on the eligibility criteria: (1) population: patients with untreated primary PCa who underwent WBMRI or PET/CT for bone metastasis detection; (2) interventions: both WBMRI and PET/CT for the diagnosis of bone metastases; (3) outcomes: the numbers of patients with true positive, false positive, false negative, and true negative results for WBMRI and PET/CT; (4) study type: focused on humans; and (5) language: limited to English.
Data Extraction
The study characteristics (authors, year of publication, the country where the study was performed, type of study design, PSA levels, type of PET/CT, and sample size), treatment parameters (number of case analyses) were based on patients or lesions, standard reference per the study, and age of the patients, and primary outcomes (true positive, false positive, false negative, and true negative results for WBMRI and PET/CT) were extracted by two authors (Yuefu Zhan and Guangming Zhang) independently. Discrepancies were solved by the discussion.
Quality of the Evidence
Four prospective cohort studies and one retrospective cohort study could be included. The quality assessment was conducted independently by two authors (Yuefu Zhan and Guangming Zhang) using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) for this particular review (20). The risk of bias was evaluated using the risk of bias in non-randomized studies of interventions tool (ROBINS-I) (21). Discrepancies in the quality assessment were solved by discussion.
Statistical Analysis
The summarized sensitivity, specificity, positive likelihood ratios (PLR), negative likelihood ratios (NLR), and diagnostic odds ratios (DOR) are presented with their corresponding 95% confidence intervals (CIs) and were obtained by means of a bivariate regression model using random effects based on the true positive and negative and false positive and negative rates in each study. The summary receiver operating characteristic (ROC) curve and the area under the curve (AUC) for WBMRI and PET/CT were calculated using a hierarchical regression model. The effect estimates and the corresponding 95% CIs of the diagnostic parameters were available for each study. The summary ratios between WBMRI and PET/CT and 95% CIs for sensitivity, specificity, PLR, NLR, DOR, and AUC were computed by random-effects models. The heterogeneity across the included studies was calculated using the I2 and Q statistic, and a P < 0.05 was regarded as significant heterogeneity. Two-sided P < 0.05 are considered statistically significant across the studies included. The statistical analyses were conducted using the MetaDiSc software (version 1.4) and STATA SE 14.0 software (StataCorp, College Station, TX, USA). No publication analysis could be performed because the number of included studies was <10 (22).
Results
Selection and Characteristics of the Studies
Figure 1 presents the study selection process. A total of 158 records were initially identified, and 141 were examined after the duplicates were removed. Twenty-nine were preliminarily excluded, and 112 full-text articles were evaluated for eligibility. Among them, 107 were excluded (32 because of study aim/design, 45 because of the population, 25 because of the intervention, and five because they were not accessible). Therefore, five studies were included (23–27).
Figure 1. Study selection process.
There are four prospective studies (24–27) and one retrospective study (23). Three studies are based on the patient (24–27) and two on the lesions (23, 26). The five studies included 657 patients. Table 1 presents the characteristics of the studies and the diagnostic values of WBMRI and PET/CT for each individual study. Two studies used 11C-choline-PET/CT, two used F-NaF-PET/CT, and one used Ga-PSMA-PET/CT.
Table 1. Characteristics of the studies included.
Table 2 presents the quality assessment of the studies included. One retrospective study (23) and three prospective studies (24–26) do not meet three criteria: avoidance of a case-control design, avoidance of inappropriate exclusions, and the use of a prespecified threshold. The study by Dyrberg et al. (27) meets only three criteria. For all five studies, it is uncertain whether the reference standard results were interpreted without knowledge of the results of the index test. Supplementary Table 1 presents the ROBINS-I evaluation.
Table 2. Quality evaluation of the included studies using the QUADAS-2 tool.
Sensitivity
The summary sensitivities for WBMRI and PET/CT for bone metastasis detection in PCa are 0.84 (95% CI: 0.77–0.89) and 0.94 (95% CI: 0.89–0.98), respectively (Figure 2). A significant difference is observed between WBMRI and PET/CT for sensitivity (ratio between WBMRI and PET/CT: 0.896; 95% CI: 0.813–0.987; P = 0.025; I2 = 0.0%, Pheterogeneity = 0.686) (Supplementary Figure 1; Table 3).
Figure 2. Summary results for sensitivity for whole-body magnetic resonance imaging (WBMRI) (A) and positron emission tomography/computed tomography (PET/CT) (B).
Table 3. Relative risk ratios between WBMRI and PET/CT for sensitivity, specificity, PLR, NLR, and DOR.
Specificity
The summary specificities for WBMRI and PET/CT for detecting bone metastases in PCa are 0.89 (95% CI: 0.86–0.91) and 0.98 (95% CI: 0.96–0.99), respectively (Figure 3). No significant difference is observed between WBMRI and PET/CT for specificity (ratio between WBMRI and PET/CT: 0.939; 95% CI: 0.855–1.031; P = 0.184; I2 = 78.8%, Pheterogeneity = 0.001) (Supplementary Figure 2; Table 3).
Figure 3. Summary results for specificity in whole-body magnetic resonance imaging (WBMRI) (A) and positron emission tomography/computed tomography (PET/CT) (B).
Positive Likelihood Ratio
The summary PLRs for WBMRI and PET/CT for detecting bone metastases in PCa are 6.89 (95% CI: 3.59–13.25) and 23.39 (95% CI: 2.56–214.03), respectively (Supplementary Figure 3). WBMRI is not associated with a significant difference in PLR compared with PET/CT (ratio between WBMRI and PET/CT: 0.42; 95% CI: 0.08–2.22; P = 0.305; I2 = 76.1%, Pheterogeneity = 0.002) (Supplementary Figure 5; Table 3).
Negative Likelihood Ratio
The summary NLRs for WBMRI and PET/CT for detecting bone metastases in PCa are 0.21 (95% CI: 0.14–0.29) and 0.07 (95% CI: 0.04–0.13), respectively (Supplementary Figure 4). WBMRI was associated with a significant difference in NLR compared with PET/CT (ratio between WBMRI and PET/CT: 2.38; 95% CI: 1.13–5.01; P = 0.023; I2 = 0.0%, Pheterogeneity = 0.476) (Supplementary Figure 6; Table 3).
Diagnostic Odds Ratio
The summary DOR in WBMRI for detecting bone metastases of PCa is 44.93 (95% CI: 14.44–139.80; I2 = 47.2%, Pheterogeneity = 0.108) (Supplementary Figure 7). The DOR of PET/CT is 402.92 (95% CI: 70.93–2288.91; I2 = 51.3%, Pheterogeneity = 0.084) (Supplementary Figure 7). WBMRI has a similar a DOR compared with PET/CT (ratio between WBMRI and PET/CT: 0.13; 95% CI: 0.02–1.11; P = 0.062; I2 = 46.8%, Pheterogeneity = 0.111) (Supplementary Figure 8).
ROC Analysis
The summary AUC for WBMRI is 0.88 (standard error: 0.032) and 0.98 (standard error: 0.013) for PET/CT for diagnosing bone metastases in PCa (Supplementary Figure 9).
Discussion
A recent meta-analysis revealed no difference between WBMRI and PET/CT in non-small cell lung cancer (17), but no such study is available for PCa. Therefore, this meta-analysis aims to compare WBMRI and PET/CT for bone metastasis detection in patients with PCa. The results show that PET/CT presents a higher sensitivity and NLR for bone metastasis detection from PCa, whereas no differences are found for specificity and PLR, compared with WBMRI.
A previous meta-analysis of four studies that compared WBMRI and PET/CT for the detection of metastases from lung cancer showed that there are no differences in the diagnostic yield of WBMRI and PET/CT for the detection of the M status of lung cancer (17). A meta-analysis of MRI, choline-PET/CT, bone SPECT, and bone scintigraphy for the detection of bone metastasis from PCa showed that on a per-patient basis, MRI was better than choline-PET/CT and scintigraphy, while on a per-lesion basis, choline-PET/CT was better than bone SPECT and scintigraphy (14). That meta-analysis did not consider the N stage. Similar results were also suggested by a review by Pesapane et al. (28) in breast cancer. Importantly, that review suggested that WMBRI could be more sensitive than PET/CT for visceral metastases (28–30) and small hepatic and brain metastases (28, 31, 32), but WBMRI could be associated with more false-positives that PET/CT for bone metastases because bone marrow edema caused by benign lesions can appear as metastases on the apparent diffusion coefficient (ADC) map (28). A review highlighted that modern PET/CT protocols have a better diagnostic value than MRI for the detection of PCa metastases but that MRI still has a role to play (33). Since the present meta-analyses only examined bone metastases, this edema from benign lesions might explain, at least in part, why WBMRI fared less well than PET/CT. Nevertheless, other studies in patients with breast cancer reported a similar diagnostic value of WBMRI compared with 19F-FDG PET/CT for bone metastases (34), highlighting that the DWI maps must not be read alone but in combination with the morphological changes (28). Gutzeit et al. (35) reported better performance of WBMRI compared with PET/CT for skeletal metastases in PCa and breast cancer, while the SKELETA trial (25) reported equivalent diagnostic value for bone metastases from PCa. Those conflicting results can be due to the differences in imaging protocols, magnet strength, and radiologist experience among the different centers. Nevertheless, both WBMRI and PET/CT have been shown to be better than CT and bone scan in terms of sensitivity and specificity for bone metastases (36).
The results of this meta-analysis must be considered in light of its limitations. In one study (25), besides PCa, the authors also included patients with breast cancer for comparing the detection of bone metastases; for this meta-analysis, the data pertaining to PCa had to be extracted. Of the five included studies, the analyses are patient-based in three studies and lesion-based in two. The cancer stage for inclusion varied among studies. Among the five studies, three different PET/CT modalities were used. Several studies did not report the true/false positive/negative, and those numbers had to be estimated based on the reported information, such as sensitivity, specificity, PLR, NLR, and the total number of cases, using the Revman software. Regarding stratification based on the risk group, as the risk level of the included patients was not specifically defined in the included studies, and as the number of studies was small, any results in terms of the stratification of risk groups would probably not lead to firm conclusions. This study had heterogeneity, which could be due to different patient risk levels among the included studies and variations in guidelines and country-level practice.
In conclusion, PET/CT presents a higher sensitivity and NLR for the detection of bone metastases from PCa, whereas no differences are found regarding specificity and PLR compared with WBMRI. Although this meta-analysis suggests a possibly better diagnostic performance of PET/CT in the detection of bone metastases in patients with PCa compared with WBMRI, compared with PET/CT, WBMRI is less expensive, more available, less time-consuming, and radiation-free. Further high-quality studies comparing the diagnostic performance of various imaging modalities and optimizing the WBMRI protocols are still needed to improve metastasis early detection in patients with PCa in clinical practice. In addition, novel prostate-specific membrane antigen-based imaging modalities are being developed, further improving the detection of PCa metastases (37). Those modalities will have to be examined in the future.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
Author Contributions
YZ carried out the studies, participated in collecting data, and drafted the manuscript. YZ and ML performed the statistical analysis and participated in its design. GZ reviewed and helped to draft the manuscript. XZ provided data analysis and a lot of advice to interpretation to the results, which ensure the high quality of this paper. All authors read and approved the final manuscript.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2021.633833/full#supplementary-material
References
1. Graham J, Kirkbride P, Cann K, Hasler E, Prettyjohns M. Prostate cancer: summary of updated NICE guidance. BMJ. (2014) 348:f7524. doi: 10.1136/bmj.f7524
2. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. (2018) 68:394–424. doi: 10.3322/caac.21492
3. Berruti A, Dogliotti L, Bitossi R, Fasolis G, Gorzegno G, Bellina M, et al. Incidence of skeletal complications in patients with bone metastatic prostate cancer and hormone refractory disease: predictive role of bone resorption and formation markers evaluated at baseline. J Urol. (2000) 164:1248–53. doi: 10.1016/S0022-5347(05)67149-2
4. Bubendorf L, Schöpfer A, Wagner U, Sauter G, Moch H, Willi N, et al. Metastatic patterns of prostate cancer: an autopsy study of 1,589 patients. Hum Pathol. (2000) 31:578–83. doi: 10.1053/hp.2000.6698
5. Pasoglou V, Michoux N, Van Damme J, Van Nieuwenhove S, Halut M, Triqueneaux P, et al. Pattern of metastatic deposit in recurrent prostate cancer: a whole-body MRI-based assessment of lesion distribution and effect of primary treatment. World J Urol. (2019) 37:2585–95. doi: 10.1007/s00345-019-02700-2
6. Sawicki LM, Kirchner J, Buddensieck C, Antke C, Ullrich T, Schimmöller L, et al. Prospective comparison of whole-body MRI and (68)Ga-PSMA PET/CT for the detection of biochemical recurrence of prostate cancer after radical prostatectomy. Eur J Nucl Med Mol Imaging. (2019) 46:1542–50. doi: 10.1007/s00259-019-04308-5
7. Liu D, Kuai Y, Zhu R, Zhou C, Tao Y, Han W, et al. Prognosis of prostate cancer and bone metastasis pattern of patients: a SEER-based study and a local hospital based study from China. Sci Rep. (2020) 10:9104. doi: 10.1038/s41598-020-64073-6
8. Mottet N., Bastian P. J., Bellmunt J., R.C.N., v.d,.B., Bolla M., et al. (2014). European Association of Urology (EAU). Guidelines on Prostate Cancer. Arnhem: European Association of Urology
9. Adeleke S, Latifoltojar A, Sidhu H, Galazi M, Shah TT, Clemente J, et al. Localising occult prostate cancer metastasis with advanced imaging techniques (LOCATE trial): a prospective cohort, observational diagnostic accuracy trial investigating whole-body magnetic resonance imaging in radio-recurrent prostate cancer. BMC Med Imaging. (2019) 19:90. doi: 10.1186/s12880-019-0380-y
10. Sonni I, Minamimoto R, Baratto L, Iagaru A. Response to: letter to the editors: re: simultaneous PET/MRI in the evaluation of breast and prostate cancer using combined Na[(18)F]F and [(18)F]FDG: a focus on skeletal lesions. Mol Imaging Biol. (2020) 22:221–2. doi: 10.1007/s11307-020-01471-2
11. Sartor O, Eisenberger M, Kattan MW, Tombal B, Lecouvet F. Unmet needs in the prediction and detection of metastases in prostate cancer. Oncologist. (2013) 18:549–57. doi: 10.1634/theoncologist.2013-0027
12. NCCN Clinical Practice Guidelines in oncology (NCCN Guidelines). Prostate Cancer. Version 2.2020. (2020). Fort Washington: National Comprehensive Cancer Network.
13. Lecouvet FE, El Mouedden J, Collette L, Coche E, Danse E, Jamar F, et al. Can whole-body magnetic resonance imaging with diffusion-weighted imaging replace Tc 99m bone scanning and computed tomography for single-step detection of metastases in patients with high-risk prostate cancer? Eur Urol. (2012) 62:68–75. doi: 10.1016/j.eururo.2012.02.020
14. Shen G, Deng H, Hu S, Jia Z. Comparison of choline-PET/CT, MRI, SPECT, and bone scintigraphy in the diagnosis of bone metastases in patients with prostate cancer: a meta-analysis. Skeletal Radiol. (2014) 43:1503–13. doi: 10.1007/s00256-014-1903-9
15. von Eyben FE, Kairemo K. Meta-analysis of (11)C-choline and (18)F-choline PET/CT for management of patients with prostate cancer. Nucl Med Commun. (2014) 35:221–30. doi: 10.1097/mnm.0000000000000040
16. Beheshti M, Vali R, Waldenberger P, Fitz F, Nader M, Hammer J, et al. The use of F-18 choline PET in the assessment of bone metastases in prostate cancer: correlation with morphological changes on CT. Mol Imaging Biol. (2009) 11:446–54. doi: 10.1007/s11307-009-0217-0
17. Machado Medeiros T, Altmayer S, Watte G, Zanon M, Basso Dias A, Henz Concatto N, et al. 18F-FDG PET/CT and whole-body MRI diagnostic performance in M staging for non-small cell lung cancer: a systematic review and meta-analysis. Eur Radiol. (2020) 30:3641–9. doi: 10.1007/s00330-020-06703-1
18. Selçuk AA. A Guide for Systematic Reviews: PRISMA. Turk Arch Otorhinolaryngol. (2019) 57:57–8. doi: 10.5152/tao.2019.4058
19. Aslam S, Emmanuel P. Formulating a researchable question: A critical step for facilitating good clinical research. Indian J Sex Transm Dis AIDS. (2010) 31:47–50. doi: 10.4103/0253-7184.69003
20. Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. (2011) 155:529–36. doi: 10.7326/0003-4819-155-8-201110180-00009
21. Sterne JA, Hernan MA, Reeves BC, Savovic J, Berkman ND, Viswanathan M, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ. (2016) 355:i4919. doi: 10.1136/bmj.i4919
22. Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page M, et al. Cochrane Handbook for Systematic Reviews of Interventions version 6.0 (updated July 2019). London: Cochrane Collaboration (2019).
23. Eschmann SM, Pfannenberg AC, Rieger A, Aschoff P, Müller M, Paulsen F, et al. Comparison of 11C-choline-PET/CT and whole body-MRI for staging of prostate cancer. Nuklearmedizin. (2007) 46:161–168; quiz N147-168. doi: 10.1160/nukmed-0075
24. Mosavi F, Johansson S, Sandberg DT, Turesson I, Sörensen J, Ahlström H. Whole-body diffusion-weighted MRI compared with (18)F-NaF PET/CT for detection of bone metastases in patients with high-risk prostate carcinoma. AJR Am J Roentgenol. (2012) 199:1114–20. doi: 10.2214/ajr.11.8351
25. Jambor I, Kuisma A, Ramadan S, Huovinen R, Sandell M, Kajander S, et al. Prospective evaluation of planar bone scintigraphy, SPECT, SPECT/CT, 18F-NaF PET/CT and whole body 1.5T MRI, including DWI, for the detection of bone metastases in high risk breast and prostate cancer patients: SKELETA clinical trial. Acta Oncol. (2016) 55:59–67. doi: 10.3109/0284186x.2015.1027411
26. Wieder H, Beer AJ, Holzapfel K, Henninger M, Maurer T, Schwarzenboeck S, et al. 11C-choline PET/CT and whole-body MRI including diffusion-weighted imaging for patients with recurrent prostate cancer. Oncotarget. (2017) 8:66516–27. doi: 10.18632/oncotarget.16227
27. Dyrberg E, Hendel HW, Huynh THV, Klausen TW, Løgager VB, Madsen C, et al. (68)Ga-PSMA-PET/CT in comparison with (18)F-fluoride-PET/CT and whole-body MRI for the detection of bone metastases in patients with prostate cancer: a prospective diagnostic accuracy study. Eur Radiol. (2019) 29:1221–30. doi: 10.1007/s00330-018-5682-x
28. Pesapane F, Downey K, Rotili A, Cassano E, Koh DM. Imaging diagnosis of metastatic breast cancer. Insights Imaging. (2020) 11:79. doi: 10.1186/s13244-020-00885-4
29. Steinborn MM, Heuck AF, Tiling R, Bruegel M, Gauger L, Reiser MF. Whole-body bone marrow MRI in patients with metastatic disease to the skeletal system. J Comput Assist Tomogr. (1999) 23:123–9. doi: 10.1097/00004728-199901000-00026
30. Engelhard K, Hollenbach HP, Wohlfart K, von Imhoff E, Fellner FA. Comparison of whole-body MRI with automatic moving table technique and bone scintigraphy for screening for bone metastases in patients with breast cancer. Eur Radiol. (2004) 14:99–105. doi: 10.1007/s00330-003-1968-7
31. Schmidt GP, Baur-Melnyk A, Haug A, Heinemann V, Bauerfeind I, Reiser MF, et al. Comprehensive imaging of tumor recurrence in breast cancer patients using whole-body MRI at 1.5 and 3 T compared to FDG-PET-CT. Eur J Radiol. (2008) 65:47–58. doi: 10.1016/j.ejrad.2007.10.021
32. Michaels AY, Keraliya AR, Tirumani SH, Shinagare AB, Ramaiya NH. Systemic treatment in breast cancer: a primer for radiologists. Insights Imaging. (2016) 7:131–44. doi: 10.1007/s13244-015-0447-4
33. Turpin A, Girard E, Baillet C, Pasquier D, Olivier J, Villers A, et al. Imaging for metastasis in prostate cancer: a review of the literature. Front Oncol. (2020) 10:55. doi: 10.3389/fonc.2020.00055
34. Heusner TA, Kuemmel S, Koeninger A, Hamami ME, Hahn S, Quinsten A, et al. Diagnostic value of diffusion-weighted magnetic resonance imaging (DWI) compared to FDG PET/CT for whole-body breast cancer staging. Eur J Nucl Med Mol Imaging. (2010) 37:1077–86. doi: 10.1007/s00259-010-1399-z
35. Gutzeit A, Doert A, Froehlich JM, Eckhardt BP, Meili A, Scherr P, et al. Comparison of diffusion-weighted whole body MRI and skeletal scintigraphy for the detection of bone metastases in patients with prostate or breast carcinoma. Skeletal Radiol. (2010) 39:333–43. doi: 10.1007/s00256-009-0789-4
36. Yang HL, Liu T, Wang XM, Xu Y, Deng SM. Diagnosis of bone metastases: a meta-analysis comparing 8FDG PET, CT, MRI and bone scintigraphy. Eur Radiol. (2011) 21:2604–17. doi: 10.1007/s00330-011-2221-4
37. Anttinen M, Ettala O, Malaspina S, Jambor I, Sandell M, Kajander S, et al. A prospective comparison of (18)F-prostate-specific membrane antigen-1007 positron emission tomography computed tomography, whole-body 1.5 T magnetic resonance imaging with diffusion-weighted imaging, and single-photon emission computed tomography/computed tomography with traditional imaging in primary distant metastasis staging of prostate cancer (PROSTAGE). Eur Urol Oncol. (2020). 2020:S2588–9311(20)30090-0. doi: 10.1016/j.euo.2020.06.012
38. Gauthé M, Aveline C, Lecouvet F, Michaud L, Rousseau C, Tassart M, et al. Impact of sodium (18)F-fluoride PET/CT, (18)F-fluorocholine PET/CT and whole-body diffusion-weighted MRI on the management of patients with prostate cancer suspicious for metastasis: a prospective multicentre study. World J Urol. (2019) 37:1587–95. doi: 10.1007/s00345-018-2547-5
Keywords: prostate cancer, magnetic resonance imaging, positron emission tomography, computed tomography, bone metastasis, meta-analysis
Citation: Zhan Y, Zhang G, Li M and Zhou X (2021) Whole-Body MRI vs. PET/CT for the Detection of Bone Metastases in Patients With Prostate Cancer: A Systematic Review and Meta-Analysis. Front. Oncol. 11:633833. doi: 10.3389/fonc.2021.633833
Received: 26 November 2020; Accepted: 19 February 2021;
Published: 04 May 2021.
Edited by:
Fabio Grizzi, Humanitas Research Hospital, ItalyReviewed by:
Michele Marchioni, University of Studies G. d'Annunzio Chieti and Pescara, ItalyEkaterina Laukhtina, I.M. Sechenov First Moscow State Medical University, Russia
Copyright © 2021 Zhan, Zhang, Li and Zhou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Guangming Zhang, Z213ZWxsJiN4MDAwNDA7MTI2LmNvbQ==