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10 May 2017
Naoual Benhmidou1, Fadoua Rais1, Fadila Kouhen2, Abdelhak Maghous1, Hasna Loughlimi1, Khadija Bellahammou3, Hanan Elkacemi1, Tayeb Kebdani1, Sanaa Elmajjaoui1, Noureddine Benjaafar1 1)
10 May 2017
Khadija Bellahammou1, Asmaa Lakhdissi1,
10 May 2017
Khaled Moursy Salama1, Monira T.
02 April 2017
Bardia Bidarmaghz, Ryo Mizumoto, Rasika

BREAST DENSITY EVALUATION: A COMPARISON BETWEEN ASSESSMENT BY A RADIOLOGIST AND THE COMPUTER-ASSISTED THRESHOLD TECHNIQUE

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George Baitchev1, Ivan Ivanov2, Ivan Inkov1, Emilia Zlateva4, Zdravko Kamenov3, George Dimitrov3

1) Department Of Thoracic Surgery, Military Medical Academy, Sofia, Bulgaria;

2) Department Of Medicodiagnostic Research, Medical University of Pleven, Bulgaria;

3) Medical University of Sofia, Bulgaria;

4) Department Of Radiology, Hospital “Avis Medica”, Pleven, Bulgaria.

Disclosure: The author has declared no conflicts of interest.

Received: 06.08.15 Accepted: 03.09.15

1486385429 Quote  doi: 10.5455/ijsm.20150903063859

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Abstract:

Traditionally, mammographic density (MD) of the breast has been assessed by a radiologist visually. This subjective evaluation requires significant experience to distinguish the relative proportions of the fibrous connective tissue and adipose tissue in the mammary gland correctly.
The aim of this study is to compare the capabilities of the different methods (visual and computer-assisted) for assessing mammographic density.
Our sample in this study consists of 66 patients with digital mammography. The mammographic density has been evaluated using the four-grade scale of the American College of Radiology (ACR); visually, visually using an analog scale and semi-automated using UTHSCSA Image Tool 3.0, Image J and Adobe Photoshop CS6 software.
The average mammographic density calculated using the different methods is as follows: 34.8% (from 10% to 70%); 32.1% (from 10% to 60%); 23% (from 0% to 70.9%); 22.7% (from 2.5% to 78.1%) and 22.5% (from 1.5% to 72.4%).
There is a strong correlation between the results obtained visually and those calculated using a computer-assisted measurement (p< 0.0001). A strong correlation was found also between the results acquired using the different semi-automated programs (p< 0.0001).
Precise measurement of mammographic density is of great importance for the mammographic screening and evaluation of breast cancer risk. The semi-automated methods, used for this purpose are objective, accessible and reproducible tools and have some advantages over the subjective visual assessment.

Keywords: imagej breast density, early signs of breast cancer, breast density photoshop, breast density measurement, breast density classification


How to Cite this Article

Bibliography

Baitchev, G., Ivanov, I., Inkov, I., Zlateva, E., Kamenov, Z. and Dimitrov, G. (2015) ‘Breast density evaluation: A comparison between assessment by a radiologist and the computer-assisted threshold technique’, International Journal of Surgery and Medicine, 1(2), pp. 48–52. doi: 10.5455/ijsm.20150903063859.

Citations, Quotes & Annotations

Baitchev, G., Ivanov, I., Inkov, I., Zlateva, E., Kamenov, Z. and Dimitrov, G. (2015) ‘Breast density evaluation: A comparison between assessment by a radiologist and the computer-assisted threshold technique’, International Journal of Surgery and Medicine, 1(2), pp. 48–52. doi: 10.5455/ijsm.20150903063859.
(Baitchev, Ivanov, et al., 2015)
 

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Last modified onThursday, 25 May 2017 10:47

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