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

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

Open Access
|Feb 2017

References

  1. 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-y
  2. 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.2010.04.003
  3. 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.x
  4. 4. Foster KR. Thermographic detection of breast cancer. IEEE Eng Med Biol Mag. 1998; 17:10-4.10.1109/51.734241
  5. 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;2-5
  6. 6. Head JF, Wang F, Lipari CA, Elliott RL. The important role of infrared imaging in breast cancer. IEEE Eng Med Biol Mag. 2000; 19:52-7.10.1109/51.844380
  7. 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.2008.150
  8. 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.2008.03.016
  9. 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/djn305
  10. 10. American College of Radiology (ACR) Breast Imaging Reporting and Data System Atlas (BI-RADS Atlas). Reston, VA: American College of Radiology; 2003.
  11. 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.
  12. 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.2008.06.015
  13. 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-9-3281865820055999
  14. 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.2011.01.00921377664
DOI: https://doi.org/10.5372/1905-7415.0801.257 | Journal eISSN: 1875-855X | Journal ISSN: 1905-7415
Language: English
Page range: 11 - 19
Published on: Feb 4, 2017
Published by: Chulalongkorn University
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2017 Xiaoli Yao, Wen Wei, Juanjuan Li, Lijun Wang, ZhiLiang Xu, Yingwen Wan, Kaiyang Li, Shengrong Sun, published by Chulalongkorn University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.