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The Added Value of Color Parameters in Analyzing Elastographic Images of Ultrasound Detected Breast Focal Lesions.

Duma MM, Chiorean AR, Feier DS, Florea M, Chiorean M, Rusu GM, Dudea SM, Sfrangeu SA - Clujul Med (2015)

Bottom Line: The purpose of the study was to determine if the color quantitative analysis obtained on elastographic images of breast lesions could improve the benign-malignant differentiation, and also to identify some of the circumstances which would benefit most from such an analysis.Calculus modality: Image Processing Version 1.3, a program developed in collaboration with the Technical University of Cluj Napoca.Seventy-one (71) women were selected for the study.

View Article: PubMed Central - PubMed

Affiliation: Dept. of Radiology, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.

ABSTRACT

Aims: The purpose of the study was to determine if the color quantitative analysis obtained on elastographic images of breast lesions could improve the benign-malignant differentiation, and also to identify some of the circumstances which would benefit most from such an analysis.

Patients and methods: The study design was a longitudinal prospective one, all data being acquired between May 2007 and September 2008. The US device used: Hitachi 8500 EUB machine with elastography option. For suspicious breast lesions histopathology was obtained by means of percutaneous biopsy or post-surgery. Studied color parameters (numeric values): average color (red, green, blue), color dispersion, average intensity, average hue, hue dispersion. Calculus modality: Image Processing Version 1.3, a program developed in collaboration with the Technical University of Cluj Napoca.

Results: Seventy-one (71) women were selected for the study. A hundred and six circumscribed breast lesions were detected by means of ultrasound in the studied group. Five color parameters were independently associated with the histological diagnosis (AvgBlue, AvgGreen and AvgRed; DispRed and DispIntensity) with AvgBlue parameter making the most important contribution (p<0.0001); the greater the values of AvgBlue (more than 92), the higher the chances of malignancy and the greater the values of AvgGreen (more than 88), the higher the chances for a benign lesion.

Conclusion: High numeric values for Avg Blue (more than 92) would increase the probability of malignancy and thus recommend a more aggressive diagnostic management (biopsy), while high numeric values for AvgGreen (more than 88) would reassure the examiner to proceed conservatively with short interval or routine follow-ups.

No MeSH data available.


Related in: MedlinePlus

Dual US image (elastography-grayscale) of a benign breast nodule (fibroadenoma). Illustration of the calculation method for color and hue parameters using a dedicated software (Image Processing Version 1.3).
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f2-cm8801p50: Dual US image (elastography-grayscale) of a benign breast nodule (fibroadenoma). Illustration of the calculation method for color and hue parameters using a dedicated software (Image Processing Version 1.3).

Mentions: The following figure (Fig. 2) illustrates an example of how this particular quantitative analysis would look on a computer monitor:


The Added Value of Color Parameters in Analyzing Elastographic Images of Ultrasound Detected Breast Focal Lesions.

Duma MM, Chiorean AR, Feier DS, Florea M, Chiorean M, Rusu GM, Dudea SM, Sfrangeu SA - Clujul Med (2015)

Dual US image (elastography-grayscale) of a benign breast nodule (fibroadenoma). Illustration of the calculation method for color and hue parameters using a dedicated software (Image Processing Version 1.3).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4508601&req=5

f2-cm8801p50: Dual US image (elastography-grayscale) of a benign breast nodule (fibroadenoma). Illustration of the calculation method for color and hue parameters using a dedicated software (Image Processing Version 1.3).
Mentions: The following figure (Fig. 2) illustrates an example of how this particular quantitative analysis would look on a computer monitor:

Bottom Line: The purpose of the study was to determine if the color quantitative analysis obtained on elastographic images of breast lesions could improve the benign-malignant differentiation, and also to identify some of the circumstances which would benefit most from such an analysis.Calculus modality: Image Processing Version 1.3, a program developed in collaboration with the Technical University of Cluj Napoca.Seventy-one (71) women were selected for the study.

View Article: PubMed Central - PubMed

Affiliation: Dept. of Radiology, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.

ABSTRACT

Aims: The purpose of the study was to determine if the color quantitative analysis obtained on elastographic images of breast lesions could improve the benign-malignant differentiation, and also to identify some of the circumstances which would benefit most from such an analysis.

Patients and methods: The study design was a longitudinal prospective one, all data being acquired between May 2007 and September 2008. The US device used: Hitachi 8500 EUB machine with elastography option. For suspicious breast lesions histopathology was obtained by means of percutaneous biopsy or post-surgery. Studied color parameters (numeric values): average color (red, green, blue), color dispersion, average intensity, average hue, hue dispersion. Calculus modality: Image Processing Version 1.3, a program developed in collaboration with the Technical University of Cluj Napoca.

Results: Seventy-one (71) women were selected for the study. A hundred and six circumscribed breast lesions were detected by means of ultrasound in the studied group. Five color parameters were independently associated with the histological diagnosis (AvgBlue, AvgGreen and AvgRed; DispRed and DispIntensity) with AvgBlue parameter making the most important contribution (p<0.0001); the greater the values of AvgBlue (more than 92), the higher the chances of malignancy and the greater the values of AvgGreen (more than 88), the higher the chances for a benign lesion.

Conclusion: High numeric values for Avg Blue (more than 92) would increase the probability of malignancy and thus recommend a more aggressive diagnostic management (biopsy), while high numeric values for AvgGreen (more than 88) would reassure the examiner to proceed conservatively with short interval or routine follow-ups.

No MeSH data available.


Related in: MedlinePlus