|
Breast-specific gamma imaging versus ultrasound and mammography for breast cancer diagnosis: A meta-analysis
|
Y. Zhang   , D. Zhu , R. Feng |
| Department of Orthopedics, the Ninth Affiliated Hospital of Guangxi Medical University, Beihai, Guangxi Province, China , fengruibin0915@163.com |
|
|
Abstract: (940 Views) |
Background: Breast cancer (BC) is presently reported to have the highest incidence of cancer in females globally. Several imaging methods are available for early BC diagnosis and for improving its treatment outcomes. The present meta-analysis compared the effectiveness of breast-specific gamma imaging (BSGI), mammography, and ultrasound for diagnosing BC. Material and Methods: Relevant studies on this topic were retrieved from the PubMed, Scopus, and EMBASE databases. Pooled sensitivity and specificity as well as the area under the curve (AUC) value of a summary receiver operating characteristic (SROC) curve of the three imaging modalities were compared. Results: Ten studies were retrieved, which included 2621 lesions from 2482 patients. The pooled sensitivity values of BSGI, ultrasound, and mammography were 0.90, 0.88, and 0.75, respectively (95% confidence interval (CI): 0.88-0.91, 0.86-0.89, and 0.72-0.77, respectively). The pooled specificity values of BSGI, ultrasound, and mammography were 0.83, 0.67, and 0.76, respectively (95% CI: 0.81-0.85, 0.64-0.69, and 0.74-0.78, respectively). The AUC values of BSGI, ultrasound, and mammography were 0.9355, 0.8644, and 0.8221, respectively. Conclusions: Compared to ultrasound and mammography, BSGI has the best diagnostic performance to discern malignant and benign breast lesions and could play a crucial role in diagnosing BC in women who have dense breasts. |
|
| Keywords: BSGI, ultrasound, mammography, breast cancer, meta-analysis. |
|
|
Full-Text [PDF 1080 kb]
(483 Downloads)
|
|
Type of Study: Original Research |
Subject:
Radiation Biology
|
|
|
|
|
|
|
| References |
1. Sung H, Ferlay J, Siegel RL, et al. (2021) Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin, 71(3): 209-249. [ DOI:10.3322/caac.21660] 2. Mann RM, Hooley R, Barr RG, Moy L (2020) Novel approaches to screening for breast cancer. Radiology, 297(2): 266-285. [ DOI:10.1148/radiol.2020200172] 3. Drukteinis JS, Mooney BP, Flowers CI, Gatenby RA (2013) Beyond mammography: new frontiers in breast cancer screening. Am J Med, 126(6): 472-479. [ DOI:10.1016/j.amjmed.2012.11.025] 4. Pike MC and Pearce CL (2013) Mammographic density, MRI background parenchymal enhancement and breast cancer risk. Ann Oncol, 24(8): viii37-viii41. [ DOI:10.1093/annonc/mdt310] 5. Rice MS, Bertrand KA, Vander Weele TJ, et al. (2016) Mammographic density and breast cancer risk: a mediation analysis. Breast Cancer Res, 18(1): 94. [ DOI:10.1186/s13058-016-0750-0] 6. Oeffinger KC, Fontham ET, Etzioni R, et al. (2015) American Cancer Society. Breast cancer screening for women at average risk: 2015 guideline update from the American cancer society. JAMA, 314(15): 1599-1614. [ DOI:10.1001/jama.2015.12783] 7. Ohuchi N, Suzuki A, Sobue T, et al. (2016) Sensitivity and specificity of mammography and adjunctive ultrasonography to screen for breast cancer in the Japan Strategic Anti-cancer Randomized Trial (J-START): a randomized controlled trial. Lancet, 387(10016): 341-348. [ DOI:10.1016/S0140-6736(15)00774-6] 8. Shen S, Zhou Y, Xu Y, et al. (2015) A multi-centre randomised trial comparing ultrasound vs mammography for screening breast cancer in high-risk Chinese women. Br J Cancer, 112(6): 998-1004. [ DOI:10.1038/bjc.2015.33] 9. Berg WA, Zhang Z, Lehrer D, et al. (2012) Detection of breast cancer with addition of annual screening ultrasound or a single screening MRI to mammography in women with elevated breast cancer risk. JAMA, 307(13): 1394-1404. [ DOI:10.1001/jama.2012.388] 10. Jones EA, Phan TD, Blanchard DA, Miley A (2009) Breast-specific gamma-imaging: molecular imaging of the breast using 99mTc-sestamibi and a small-field-of-view gamma-camera. J Nucl Med Technol, 37(4): 201-205. [ DOI:10.2967/jnmt.109.063537] 11. Brem RF, Ruda RC, Yang JL, et al. (2016) Breast-specific γ-imaging for the detection of mammographically occult breast cancer in women at increased risk. J Nucl Med, 57(5): 678-684. [ DOI:10.2967/jnumed.115.168385] 12. Kim BS, Moon BI, Cha ES (2012) A comparative study of breast-specific gamma imaging with the conventional imaging modality in breast cancer patients with dense breasts. Ann Nucl Med, 26(10): 823-829. [ DOI:10.1007/s12149-012-0649-5] 13. Rechtman LR, Lenihan MJ, Lieberman JH, et al. (2014) Breast-specific gamma imaging for the detection of breast cancer in dense versus nondense breasts. AJR Am J Roentgenol, 202(2): 293-298. [ DOI:10.2214/AJR.13.11585] 14. Sun Y, Wei W, Yang HW, Liu JL (2013) Clinical usefulness of breast-specific gamma imaging as an adjunct modality to mammography for diagnosis of breast cancer: a systemic review and meta-analysis. Eur J Nucl Med Mol Imaging, 40(3): 450-463. [ DOI:10.1007/s00259-012-2279-5] 15. Chung HW, So Y, Yang JH, et al. (2017) Adjunctive breast-specific gamma imaging for detecting cancer in women with calcifications at mammography. Ann Surg Oncol, 24(12): 3541-3548. [ DOI:10.1245/s10434-017-6058-1] 16. Whiting PF, Rutjes AW, Westwood ME, et al. (2011) QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med, 155(8): 529-536. [ DOI:10.7326/0003-4819-155-8-201110180-00009] 17. Higgins JP and Thompson SG (2002) Quantifying heterogeneity in a meta-analysis. Stat Med, 21(11): 1539-1558. [ DOI:10.1002/sim.1186] 18. Deeks JJ, Macaskill P, Irwig L (2005) The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed. J Clin Epidemiol, 58(9): 882-893. [ DOI:10.1016/j.jclinepi.2005.01.016] 19. Lee A, Chang J, Lim W, et al. (2012) Effectiveness of breast-specific gamma imaging (BSGI) for breast cancer in Korea: a comparative study. Breast J, 18(5): 453-458. [ DOI:10.1111/j.1524-4741.2012.01280.x] 20. Weigert JM, Bertrand ML, Lanzkowsky L, et al. (2012) Results of a multicenter patient registry to determine the clinical impact of breast-specific gamma imaging, a molecular breast imaging technique. AJR Am J Roentgenol, 198(1): W69-75. [ DOI:10.2214/AJR.10.6105] 21. Park KS, Chung HW, Yoo YB, et al. (2014) Complementary role of semiquantitative analysis of breast-specific gamma imaging in the diagnosis of breast cancer. AJR Am J Roentgenol, 202(3): 690-695. [ DOI:10.2214/AJR.13.11324] 22. Meissnitzer T, Seymer A, Keinrath P, et al. (2015) Added value of semi-quantitative breast-specific gamma imaging in the work-up of suspicious breast lesions compared to mammography, ultrasound and 3-T MRI. Br J Radiol, 88(1051): 20150147. [ DOI:10.1259/bjr.20150147] 23. Cho MJ, Yang JH, Yu YB, et al. (2016) Validity of breast-specific gamma imaging for Breast Imaging Reporting and Data System 4 lesions on mammography and/or ultrasound. Ann Surg Treat Res, 90(4): 194-200. [ DOI:10.4174/astr.2016.90.4.194] 24. Yu X, Hu G, Zhang Z, et al. (2016) Retrospective and comparative analysis of (99m)Tc-Sestamibi breast specific gamma imaging versus mammography, ultrasound, and magnetic resonance imaging for the detection of breast cancer in Chinese women. BMC Cancer, 16: 450. [ DOI:10.1186/s12885-016-2537-1] 25. Liu H, Zhan H, Sun D (2020) Comparison of 99mTc-MIBI scintigraphy, ultrasound, and mammography for the diagnosis of BI-RADS 4 category lesions. BMC Cancer, 20(1): 463. [ DOI:10.1186/s12885-020-06938-7] 26. Liu H, Zhan H, Sun D, Zhang Y (2020) Comparison of BSGI, MRI, mammography, and ultrasound for the diagnosis of breast lesions and their correlations with specific molecular subtypes in Chinese women. BMC Med Imaging, 20(1): 98. [ DOI:10.1186/s12880-020-00497-w] 27. Zhang Z, Wang W, Wang X, et al. (2020) Breast-specific gamma imaging or ultrasonography as adjunct imaging diagnostics in women with mammographically dense breasts. Eur Radiol, 30(11): 6062-6071. [ DOI:10.1007/s00330-020-06950-2] 28. Tozaki M, Isomoto I, Kojima Y, et al. (2015) The Japanese Breast Cancer Society Clinical Practice Guideline for screening and imaging diagnosis of breast cancer. Breast Cancer, 22(1): 28-36. [ DOI:10.1007/s12282-014-0557-8] 29. Boyd NF, Guo H, Martin LJ, et al. (2007) Mammographic density and the risk and detection of breast cancer. N Engl J Med, 356(3): 227-236. [ DOI:10.1056/NEJMoa062790] 30. Belhocine TZ, Blankenberg FG, Kartachova MS, et al. (2015) (99m)Tc-Annexin A5 quantification of apoptotic tumor response: a systematic review and meta-analysis of clinical imaging trials. Eur J Nucl Med Mol Imaging, 42(13): 2083-2097. [ DOI:10.1007/s00259-015-3152-0] 31. Chae IH, Cha ES, Lee JE, et al. (2018) Invasive Lobular Carcinoma: Detection and Multiplicity with Multimodalities. Ewha Med J, 41(2): 27-34. [ DOI:10.12771/emj.2018.41.2.27] 32. Rhodes DJ, Hruska CB, Conners AL, et al. (2015) Journal club: molecular breast imaging at reduced radiation dose for supplemental screening in mammographically dense breasts. AJR Am J Roentgenol, 204(2): 241-251. [ DOI:10.2214/AJR.14.13357] |
|
| Send email to the article author |
|
|
|
| Add your comments about this article |
|
|
|
|
Zhang Y, Zhu D, Feng R. Breast-specific gamma imaging versus ultrasound and mammography for breast cancer diagnosis: A meta-analysis. Int J Radiat Res 2024; 22 (1) :27-33 URL: http://ijrr.com/article-1-5209-en.html
|
