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Standard deviation calculation between mammography and sonography data in determining non-palpable breast masses localization using the Mammography Sono Analyzer computer program

https://doi.org/10.24835/1607-0763-2018-5-39-44

Abstract

Objective: standard deviation calculation in determining non-palpable breast masses localization: mammography and sonography data for a more accurate pre-surgical diagnostics and labeling.
Materials and methods. We have applied the Mammography Sono Analyzer (MSA) software for studying 52 women 37 to 76 years old with non-palpable breast masses for comparing the focal mass localization based on mammography and sonography data. The patients were divided into 3 groups based on the breast size: small (S), medium (M) and large (L). 

Results. Standard deviation between mammography and sonography data gas been obtained: S – 1,0 cm maximum, M – 2,0 cm maximum, L – less than 2,5 cm.

Conclusions. The MSA software allows to determine the standard deviations of non-palpable breast masses localization for breast of different size taking into consideration the mammography and sonography data.

About the Authors

Yu. P. Mordvinov
Pacific state medical university LLC “Breast Center”, Vladivostok
Russian Federation

graduate student, medical doctor

Kalinina str. 15v, 690035 Vladivostok, Russia.

8-914-335-25-89



V. I. Apanasevich
Pacific state medical university
Russian Federation
doct. of med. sci., Professor


References

1. Cavalcanti T.C., Malafaia O., Nassif P.A., Skare T.L., Ogata D.C., Miguel M.T., Gomes L.K. Non-palpable breast lesions marked with coal suspension: evaluation of anatomopathological aspects, viability of interpretation and inflammatory response. Revista do Colégio Brasileiro de Cirurgiões. 2012; 39 (6): 469–475.

2. Loberg M., Lousdal M.L., Bretthauer M., Kalager M. Benefits and harms of mammography screening. Breast Cancer Res. 2015; 17 (1): 63. DOI: 10.1186/s13058-015-0525-z.

3. Elmore J.G., Armstrong K., Lehman C.D., Fletcher S.W. Screening for breast cancer. J. Am. Med. Assoc. 2005; 293: 1245–1256. DOI 10.1001/jama.293.10.1245.

4. Nudnov N.V., Novikova E.V. The problem of diagnosis nonpalpable breast cancer in premenopausal women. Research'n Practical Medicine Journal. 2017; 4 (S2): 72. (In Russian)

5. Nevozhay V.I., Apanasevich V.I. Surgical treatment of a breast cancer: history and trends. Pacific Medical Journal. 2016; 4 (66): 11–13. (In Russian) DOI: 10.17238/PmJ1609-1175.2016.4.11-13.

6. Nudnov N.V., Novikova E.V., Smirnova O.A. Diagnostic algorithms nonpalpable lession breast. Medical Visualization. 2015; 6: 110–120. (In Russian)

7. Sickles E.A., D’Orsi C.J., Morris E.A. et al. ACR BI-RADS Mammography. Atlas, Breast Imaging Reporting and Data System. Reston, VA. Am. Coll. Radiol. 2013.

8. Mendelson E.B., Böhm-Vélez M., Berg W.A. et al. ACR BIRADS Ultrasound. Atlas, Breast Imaging Reporting and Data System. Reston, VA. Am. Coll. Radiol. 2013.

9. Bennett I.C., Biggar M.A. The role of ultrasound in the management of breast disease. Australasian J. Ultrasound Med. 2011; 14 (2): 25–28. DOI: 10.1002/j.2205-0140.2011.tb00191.x.

10. Mordvinov U.P., Apanasevich V.I. Mammography Sono Analazer. Certificate of state registration for computer program. № 2018615987, 18.05.2018. (In Russian)


Review

For citations:


Mordvinov Yu.P., Apanasevich V.I. Standard deviation calculation between mammography and sonography data in determining non-palpable breast masses localization using the Mammography Sono Analyzer computer program. Medical Visualization. 2018;(5):39-44. (In Russ.) https://doi.org/10.24835/1607-0763-2018-5-39-44

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ISSN 1607-0763 (Print)
ISSN 2408-9516 (Online)