Open Access

A comparison of mammography, ultrasonography, and far-infrared thermography with pathological results in screening and early diagnosis of breast cancer


Cite

1. Boquete L, Ortega S, Miguel-Jimenez JM, Rodriguez- Ascariz JM, Blanco R. Automated detection of breast cancer in thermal infrared images, based on independent component analysis. J Med Syst. 2012; 36:103-11.10.1007/s10916-010-9450-ySearch in Google Scholar

2. Wishart GC, Campisi M, Boswell M, Chapman D, Shackleton V, Iddles S, et al. The accuracy of digital infrared imaging for breast cancer detection in women undergoing breast biopsy. Eur J Surg Oncol. 2010; 36: 535-40.10.1016/j.ejso.2010.04.003Search in Google Scholar

3. Threatt B, Norbeck JM, Ullman NS, Kummer R, Roselle P. Thermography and breast cancer: an analysis of a blind reading. Annals N Y Acad Sci. 1980; 335:501-19.10.1111/j.1749-6632.1980.tb50775.xSearch in Google Scholar

4. Foster KR. Thermographic detection of breast cancer. IEEE Eng Med Biol Mag. 1998; 17:10-4.10.1109/51.734241Open DOISearch in Google Scholar

5. Lapayowker MS, Revesz G. Thermography and ultrasound in detection and diagnosis of breast cancer. Cancer. 1980; 46:933-8.10.1002/1097-0142(19800815)46:4+<933::AID-CNCR2820461314>3.0.CO;2-5Search in Google Scholar

6. Head JF, Wang F, Lipari CA, Elliott RL. The important role of infrared imaging in breast cancer. IEEE Eng Med Biol Mag. 2000; 19:52-7.10.1109/51.844380Search in Google Scholar

7. Zhang H, Li KY, Sun SR. The value-exploration of the clinical breast diagnosis by using thermal tomography. Natural Computation, 2008. ICNC ’08. Fourth International Conference on Natural Computation. DOI: 10.1109/ICNC.2008.15010.1109/ICNC.2008.150Open DOISearch in Google Scholar

8. Li KY, Dong YG, Chen C. The noninvasive reconstruction of 3D temperature field in a biological body with Monte Carlo method. Neurocomputing. 2008; 72: 128-33.10.1016/j.neucom.2008.03.016Search in Google Scholar

9. Linos E, Spanos D, Rosner BA, Linos K, Hesketh T, Qu JD, et al. Effects of reproductive and demographic changes on breast cancer incidence in China: a modeling analysis. J Natl Cancer Inst. 2008; 100: 1352-60.10.1093/jnci/djn305Search in Google Scholar

10. American College of Radiology (ACR) Breast Imaging Reporting and Data System Atlas (BI-RADS Atlas). Reston, VA: American College of Radiology; 2003.Search in Google Scholar

11. World Health Organization classification of tumours. Pathology and genetics of tumours of the breast and female genital organs. Tavassoli FA, Devilee P, eds. Lyon: IARC Press, 2003.Search in Google Scholar

12. Arora N, Martins D, Ruggerio D, Tousimis E, Swistel AJ, Osborne MP, et al. Effectiveness of a noninvasive digital infrared thermal imaging system in the detection of breast cancer. Am J Surg. 2008; 196:523-6.10.1016/j.amjsurg.2008.06.015Search in Google Scholar

13. Wang J, Chang KJ, Chen CY, Chien KL, Tsai YS, Wu YM, et al. Evaluation of the diagnostic performance of infrared imaging of the breast: a preliminary study. Biomed Eng Online. 2010; 9:3.10.1186/1475-925X-9-3281865820055999Open DOISearch in Google Scholar

14. Kontos M, Wilson R, Fentiman I. Digital infrared thermal imaging (DITI) of breast lesions: sensitivity and specificity of detection of primary breast cancers. Clin Radiol. 2011; 66:536-9.10.1016/j.crad.2011.01.00921377664Search in Google Scholar

eISSN:
1875-855X
Language:
English
Publication timeframe:
6 times per year
Journal Subjects:
Medicine, Assistive Professions, Nursing, Basic Medical Science, other, Clinical Medicine