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Fractal dimension analysis of malignant and benign endobronchial ultrasound nodes.

Fiz JA, Monte-Moreno E, Andreo F, Auteri SJ, Sanz-Santos J, Serra P, Bonet G, Castellà E, Manzano JR - BMC Med Imaging (2014)

Bottom Line: Processed images showed that relationship between log perimeter and log area of hilar nodes was lineal (i.e. perimeter vs. area follow a power law).Fractal dimension was lower in the malignant nodes compared with non-malignant nodes (1.47(0.09), 1.53(0.10) mean(SD), Mann-Whitney U test p < 0.05)).This parameter could differentiate malignat and non-malignat mediastinic and hiliar nodes.

View Article: PubMed Central - HTML - PubMed

Affiliation: Pulmonology Department, Hospital Universitari Germans Trias Pujol, Planta 8, Carretera del Canyet s/n, 08916, Badalona, Spain. jafiz@msn.com.

ABSTRACT

Background: Endobronchial ultrasonography (EBUS) has been applied as a routine procedure for the diagnostic of hiliar and mediastinal nodes. The authors assessed the relationship between the echographic appearance of mediastinal nodes, based on endobronchial ultrasound images, and the likelihood of malignancy.

Methods: The images of twelve malignant and eleven benign nodes were evaluated. A previous processing method was applied to improve the quality of the images and to enhance the details. Texture and morphology parameters analyzed were: the image texture of the echographies and a fractal dimension that expressed the relationship between area and perimeter of the structures that appear in the image, and characterizes the convoluted inner structure of the hiliar and mediastinal nodes.

Results: Processed images showed that relationship between log perimeter and log area of hilar nodes was lineal (i.e. perimeter vs. area follow a power law). Fractal dimension was lower in the malignant nodes compared with non-malignant nodes (1.47(0.09), 1.53(0.10) mean(SD), Mann-Whitney U test p < 0.05)).

Conclusion: Fractal dimension of ultrasonographic images of mediastinal nodes obtained through endobronchial ultrasound differ in malignant nodes from non-malignant. This parameter could differentiate malignat and non-malignat mediastinic and hiliar nodes.

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ROC curve of the fractal dimension parameter. The area under the curve was 0.76 (p < 0.03).
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Figure 3: ROC curve of the fractal dimension parameter. The area under the curve was 0.76 (p < 0.03).

Mentions: Figure 2 shows the relationship between the log area and the log perimeter. The slope of the straight line would give us the form in that the log-perimeter grows linearly with the log-area. In this example the relationship agrees with a lineal model. Except for fractal dimension, there were no differences in morphological parameters between images (Table 2). On the other hand, the fractal dimension was smaller in malignant lymph nodes (Mann–Whitney U test for independent groups, p < 0.05).Figure 3 shows the ROC curve of fractal dimension parameter. The area under the curve quantifies the overall ability of the fractal dimension measure to discriminate between neoplasic and non neoplasic nodes. The area under the curve was 0.76 with Std Error of 0.11 (p < 0.03).


Fractal dimension analysis of malignant and benign endobronchial ultrasound nodes.

Fiz JA, Monte-Moreno E, Andreo F, Auteri SJ, Sanz-Santos J, Serra P, Bonet G, Castellà E, Manzano JR - BMC Med Imaging (2014)

ROC curve of the fractal dimension parameter. The area under the curve was 0.76 (p < 0.03).
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4061455&req=5

Figure 3: ROC curve of the fractal dimension parameter. The area under the curve was 0.76 (p < 0.03).
Mentions: Figure 2 shows the relationship between the log area and the log perimeter. The slope of the straight line would give us the form in that the log-perimeter grows linearly with the log-area. In this example the relationship agrees with a lineal model. Except for fractal dimension, there were no differences in morphological parameters between images (Table 2). On the other hand, the fractal dimension was smaller in malignant lymph nodes (Mann–Whitney U test for independent groups, p < 0.05).Figure 3 shows the ROC curve of fractal dimension parameter. The area under the curve quantifies the overall ability of the fractal dimension measure to discriminate between neoplasic and non neoplasic nodes. The area under the curve was 0.76 with Std Error of 0.11 (p < 0.03).

Bottom Line: Processed images showed that relationship between log perimeter and log area of hilar nodes was lineal (i.e. perimeter vs. area follow a power law).Fractal dimension was lower in the malignant nodes compared with non-malignant nodes (1.47(0.09), 1.53(0.10) mean(SD), Mann-Whitney U test p < 0.05)).This parameter could differentiate malignat and non-malignat mediastinic and hiliar nodes.

View Article: PubMed Central - HTML - PubMed

Affiliation: Pulmonology Department, Hospital Universitari Germans Trias Pujol, Planta 8, Carretera del Canyet s/n, 08916, Badalona, Spain. jafiz@msn.com.

ABSTRACT

Background: Endobronchial ultrasonography (EBUS) has been applied as a routine procedure for the diagnostic of hiliar and mediastinal nodes. The authors assessed the relationship between the echographic appearance of mediastinal nodes, based on endobronchial ultrasound images, and the likelihood of malignancy.

Methods: The images of twelve malignant and eleven benign nodes were evaluated. A previous processing method was applied to improve the quality of the images and to enhance the details. Texture and morphology parameters analyzed were: the image texture of the echographies and a fractal dimension that expressed the relationship between area and perimeter of the structures that appear in the image, and characterizes the convoluted inner structure of the hiliar and mediastinal nodes.

Results: Processed images showed that relationship between log perimeter and log area of hilar nodes was lineal (i.e. perimeter vs. area follow a power law). Fractal dimension was lower in the malignant nodes compared with non-malignant nodes (1.47(0.09), 1.53(0.10) mean(SD), Mann-Whitney U test p < 0.05)).

Conclusion: Fractal dimension of ultrasonographic images of mediastinal nodes obtained through endobronchial ultrasound differ in malignant nodes from non-malignant. This parameter could differentiate malignat and non-malignat mediastinic and hiliar nodes.

Show MeSH
Related in: MedlinePlus