Advanced SearchSearch Tips
Comparative Efficacy of Four Imaging Instruments for Breast Cancer Screening
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Comparative Efficacy of Four Imaging Instruments for Breast Cancer Screening
Mehnati, Parinaz; Tirtash, Maede Jafari;
  PDF(new window)
Sensitivity and specificity are the two most important indicators in selection of medical imaging devices for cancer screening. Breast images taken by conventional or digital mammography, ultrasound, MRI and optical mammography were collected from 2,143,852 patients. They were then studied and compared for sensitivity and specificity results. Optical mammography had the highest sensitivity (p<0.001 and p<0.006) except with MRI. Digital mammography had the highest specificity for breast cancer imaging. A comparison of specificity between digital mammography and optical mammography was significant (p<0.021). If two or more breast diagnostic imaging tests are requested the overall sensitivity and specificity will increase. In this literature review study patients at high-risk of breast cancer were studied beside normal or sensitive women. The image modality performance of each breast test was compared for each.
Sensitivity;specificity;breast imaging;ultrasound;MRI;digital/optical mammography;
 Cited by
Relation between Mammographic Parenchymal Patterns and Breast Cancer Risk: Considering BMI, Compressed Breast Thickness and Age of Women in Tabriz, Iran,;;;

Asian Pacific Journal of Cancer Prevention, 2016. vol.17. 4, pp.2259-2263 crossref(new window)
Relation between Mammographic Parenchymal Patterns and Breast Cancer Risk: Considering BMI, Compressed Breast Thickness and Age of Women in Tabriz, Iran, Asian Pacific Journal of Cancer Prevention, 2016, 17, 4, 2259  crossref(new windwow)
2014a. American Cancer Society recommendations for early breast cancer detection in women without breast symptoms [Online]. Available:

2014b. NCCN Clinical Practice Guidelines in Oncology: Breast cancer screening and diagnosis [Online]. Available:

2014c. Sensitivity and Specificity for 2,061,691 Screening Mammography Examinations from 2004 - 2008 -- based on BCSC data through 2009 [Online]. Available:

Akbari ME, Haghighatkhah H, Shafiee M, et al (2012). Mammography and ultrasonography reports compared with tissue diagnosis--an evidence based study in Iran, 2010. Asian Pac J Cancer Prev, 13, 1907-10. crossref(new window)

Arena F, Barone C, DiCicco T (2003). Use of digital infrared imaging in enhanced breast cancer detection and monitoring of the clinical response to treatment. Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE, 2003, 1129-32.

Arora N, Martins D, Ruggerio D, et al (2008). Effectiveness of a noninvasive digital infrared thermal imaging system in the detection of breast cancer. Am J Surg, 196, 523-6. crossref(new window)

Athanasiou A, Vanel D, Fournier L, et al (2007). Optical mammography: a new technique for visualizing breast lesions in women presenting non palpable BIRADS 4-5 imaging findings: preliminary results with radiologic-pathologic correlation. Cancer Imaging, 7, 34. crossref(new window)

Baltzer PA, Benndorf M, Dietzel M, et al (2010). Sensitivity and specificity of unenhanced MR mammography (DWI combined with T2-weighted TSE imaging, ueMRM) for the differentiation of mass lesions. Eur Radiol, 20, 1101-10. crossref(new window)

Bassett LW (2004). Digital mammography: practical issues in implementation. 1-5.

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, 1394-404. crossref(new window)

Busch DR, Guo W, Choe R, et al (2010). Computer aided automatic detection of malignant lesions in diffuse optical mammography. Medical Physics, 37, 1840-9. crossref(new window)

Chance B, Nioka S, Zhang J, et al (2005). Breast cancer detection based on incremental biochemical and physiological properties of breast cancers: A six-year, two-site Study1. Acad Radiol, 12, 925-33. crossref(new window)

Cutler M (1929). Transillumination as an aid in the diagnosis of breast lesions. Surgery Gynecol Obstet, 48, 721-9.

Devolli-Disha E, Manxhuka-Kerliu S, Ymeri H, et al (2009). Comparative accuracy of mammography and ultrasound in women with breast symptoms according to age and breast density. Bosnian journal of basic medical sciences/Udruzenje basicnih mediciniskih znanosti. Assoc Basic Med Sci, 9, 131-6.

Egorov V, Sarvazyan AP (2008). Mechanical imaging of the breast. IEEE Trans Med Imaging, 27, 1275-87. crossref(new window)

Fang Q, Carp SA, Selb J, et al (2009). Combined optical imaging and mammography of the healthy breast: optical contrast derived from breast structure and compression. IEEE Trans Med Imaging, 28, 30-42. crossref(new window)

Fatima N, Zaman MU, Uddin Q, et al (2011). Accuracy of mammography and ultrasound for detecting breast cancer at a breast care clinic in Karachi, Pakistan. J Biomed Graphic Comput, 1, 44-50.

Goss PE, Sierra S (1998). Current perspectives on radiationinduced breast cancer. J Clin Oncol, 16, 338-47.

Granader EJ, Dwamena B, Carlos RC (2008). MRI and mammography surveillance of women at increased risk for breast cancer: recommendations using an evidence-based approach. Academic Radiol, 15, 1590-5. crossref(new window)

Hagen AI, Kvistad KA, Maehle L, et al (2007). Sensitivity of MRI versus conventional screening in the diagnosis of BRCA-associated breast cancer in a national prospective series. Breast, 16, 367-74. crossref(new window)

Houssami N, Irwig L, Simpson JM, et al (2003). Sydney Breast Imaging Accuracy Study: comparative sensitivity and specificity of mammography and sonography in young women with symptoms. Am J Roentgenol, 180, 935-40. crossref(new window)

Kopans DB (2007). Breast imaging, Lippincott Williams & Wilkins.

Kriege M, Brekelmans CT, Boetes C, et al (2004). Efficacy of MRI and mammography for breast-cancer screening in women with a familial or genetic predisposition. New England J Med, 351, 427-37. crossref(new window)

Kuhl CK, Schrading S, Leutner CC, et al (2005). Mammography, breast ultrasound, and magnetic resonance imaging for surveillance of women at high familial risk for breast cancer. J Clin Oncol, 23, 8469-76. crossref(new window)

Leach MO, Boggis C, Dixon A, et al (2005). Screening with magnetic resonance imaging and mammography of a UK population at high familial risk of breast cancer: a prospective multicentre cohort study (MARIBS). Lancet, 365, 1769-78. crossref(new window)

Leff DR, Warren OJ, Enfield LC, et al (2008). Diffuse optical imaging of the healthy and diseased breast: a systematic review. Breast Cancer Res Treat, 108, 9-22. crossref(new window)

Madjar H (2001). [Advantages and limitations of breast ultrasound]. Gynakol Geburt Runds, 42, 185-90.

Marinovich ML, Houssami N, Macaskill P, et al (2013). Metaanalysis of magnetic resonance imaging in detecting residual breast cancer after neoadjuvant therapy. J National Cancer Inst, 105, 321-33. crossref(new window)

Mehnati P, Alizadeh H (2014). Comparison Between Film-Screen and Digital Mammography for Woman Breast Cancer Screening: Mean Glandular Dose. Acad J Cancer Res 7, 162-7.

Michell M, Iqbal A, Wasan R, et al (2012). A comparison of the accuracy of film-screen mammography, full-field digital mammography, and digital breast tomosynthesis. Clin Radiol, 67, 976-81. crossref(new window)

Newell D, Nie K, Chen J-H, et al (2010). Selection of diagnostic features on breast MRI to differentiate between malignant and benign lesions using computer-aided diagnosis: differences in lesions presenting as mass and non-mass-like enhancement. Eur Radiol, 20, 771-81. crossref(new window)

Parisky Y, Sardi A, Hamm R, et al (2003). Efficacy of computerized infrared imaging analysis to evaluate mammographically suspicious lesions. Am J Roentgenol, 180, 263-9. crossref(new window)

Park SH, Moon WK, Cho N, et al (2012). Comparison of diffusion-weighted MR imaging and FDG PET/CT to predict pathological complete response to neoadjuvant chemotherapy in patients with breast cancer. Eur Radiol, 22, 18-25. crossref(new window)

Pinker-Domenig K, Bogner W, Gruber S, et al (2012). High resolution MRI of the breast at 3 T: which BI-$RADS^{(R)}$ descriptors are most strongly associated with the diagnosis of breast cancer? Eur Radiol, 22, 322-30. crossref(new window)

Pisano ED, Gatsonis C, Hendrick E, et al (2005). Diagnostic performance of digital versus film mammography for breastcancer screening. New Engl J Med, 353, 1773-83. crossref(new window)

Pisano ED, Hendrick RE, Yaffe MJ, et al (2008). Diagnostic accuracy of digital versus film mammography: exploratory analysis of selected population subgroups in DMIST. Radiol, 246, 376. crossref(new window)

Rafferty EA, Park JM, Philpotts LE, et al (2013). BREAST IMAG. Radiol, 266, 104-13. crossref(new window)

Riabi HA, Mehnati P, Mesbahi A (2010). Evaluation of mean glandular dose in a full-field digital mammography unit in Tabriz, Iran. Radiation Protect Dosim, 142, 222-7. crossref(new window)

Ronckers CM, Erdmann CA, Land CE (2005). Radiation and breast cancer: a review of current evidence. Breast Cancer Res, 7, 21-32. crossref(new window)

Sardanelli F, Podo F, Santoro F, et al (2011). Multicenter surveillance of women at high genetic breast cancer risk using mammography, ultrasonography, and contrastenhanced magnetic resonance imaging (the high breast cancer risk italian 1 study): final results. Investigative Radiol, 46, 94-105. crossref(new window)

Siegel R, Naishadham D, Jemal A (2013). Cancer statistics, 2013. Ca Cancer J Clin, 63, 11-30. crossref(new window)

Sim L, Hendriks J, Fook-Chong S (2004). Breast ultrasound in women with familial risk of breast cancer. Ann Academy Med Singapore, 33, 600-6.

Skaane P (2009). Studies comparing screen-film mammography and full-field digital mammography in breast cancer screening: updated review. Acta Radiol, 50, 3-14. crossref(new window)

Ting KM (2010). Sensitivity and specificity. Encyclopedia Machine Learning, 901-2.

Valente SA, Levine GM, Silverstein MJ, et al (2012). Accuracy of predicting axillary lymph node positivity by physical examination, mammography, ultrasonography, and magnetic resonance imaging. Ann Surg Oncol, 19, 1825-30. crossref(new window)

Warner E, Messersmith H, Causer P, et al (2008). Systematic review: using magnetic resonance imaging to screen women at high risk for breast cancer. Ann internal Med, 148, 671-9. crossref(new window)

Warner E, Plewes D, Shumak R, et al (2001). Comparison of breast magnetic resonance imaging, mammography, and ultrasound for surveillance of women at high risk for hereditary breast cancer. J Clin Oncol, 19, 3524-31.

Warner E, Plewes DB, Hill KA, et al (2004). Surveillance of BRCA1 and BRCA2 mutation carriers with magnetic resonance imaging, ultrasound, mammography, and clinical breast examination. Jama, 292, 1317-25. crossref(new window)

Wishart G, Campisi M, Boswell M, et al (2010). The accuracy of digital infrared imaging for breast cancer detection in women undergoing breast biopsy. Eur J Surgical Oncol (EJSO), 36, 535-40. crossref(new window)

Zahl P-H, Strand BH, Mæhlen J (2004). Incidence of breast cancer in Norway and Sweden during introduction of nationwide screening: prospective cohort study. Bmj, 328, 921-4. crossref(new window)

Zhang H, Qin D, Yang Z, et al (2014). Comparison of diffuse optical tomography, ultrasound elastography and mammography in the diagnosis of breast tumors. Ultrasound Med Biol, 40, 1-10. crossref(new window)