Fractal Dimension and Lacunarity of Tumor Microscopic Images as Prognostic Indicators of Clinical Outcome in Early Breast Cancer

Pribic, Jelena; Vasiljević, Jelena; Kanjer, Ksenija; Konstantinovic, Zora Neskovic; Milošević, Nebojša T.; Vukosavljevic, Dragica Nikolic; Radulović, Marko

doi:10.2217/bmm.15.102

Cited by 19 publications

(10 citation statements)

References 54 publications

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“…Fractal dimension D f as an indication of malignancy for various tumors. Our model reproduces some of the previously reported fractal dimensions: [i] 30 ; [ii] 1.46 ¡ D f ¡ 1.64 29 ; [iii] ; [iv] 1.74 ¡ D f ¡ 1.85 31 , and [v] 32 . …”

Section: Resultssupporting

confidence: 85%

Role of the Interplay Between the Internal and External Conditions in Invasive Behavior of Tumors

Azimzade

Saberi

Sahimi

2018

Sci Rep

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Tumor growth, which plays a central role in cancer evolution, depends on both the internal features of the cells, such as their ability for unlimited duplication, and the external conditions, e.g., supply of nutrients, as well as the dynamic interactions between the two. A stem cell theory of cancer has recently been developed that suggests the existence of a subpopulation of self-renewing tumor cells to be responsible for tumorigenesis, and is able to initiate metastatic spreading. The question of abundance of the cancer stem cells (CSCs) and its relation to tumor malignancy has, however, remained an unsolved problem and has been a subject of recent debates. In this paper we propose a novel model beyond the standard stochastic models of tumor development, in order to explore the effect of the density of the CSCs and oxygen on the tumor’s invasive behavior. The model identifies natural selection as the underlying process for complex morphology of tumors, which has been observed experimentally, and indicates that their invasive behavior depends on both the number of the CSCs and the oxygen density in the microenvironment. The interplay between the external and internal conditions may pave the way for a new cancer therapy.

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Section: Resultssupporting

confidence: 85%

Role of the Interplay Between the Internal and External Conditions in Invasive Behavior of Tumors

Azimzade

Saberi

Sahimi

2018

Sci Rep

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“…Tissue was formalin-fixed, paraffin-embedded and cut to produce 4 mm sections mounted on clean glass slides. Pan tissue H&E staining was performed within 48 h after cutting, according to the staining procedure previously explained in full detail (Pribic et al, 2015).…”

Section: Tissue Samplesmentioning

confidence: 99%

Effects of different preprocessing algorithms on the prognostic value of breast tumour microscopic images

Kolarevic

Vujasinović

Kanjer

et al. 2017

Journal of Microscopy

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The purpose of this study was to improve the prognostic value of tumour histopathology image analysis methodology by image preprocessing. Key image qualities were modified including contrast, sharpness and brightness. The texture information was subsequently extracted from images of haematoxylin/eosin-stained tumour tissue sections by GLCM, monofractal and multifractal algorithms without any analytical limitation to predefined structures. Images were derived from patient groups with invasive breast carcinoma (BC, 93 patients) and inflammatory breast carcinoma (IBC, 51 patients). The prognostic performance was indeed significantly enhanced by preprocessing with the average AUCs of individual texture features improving from 0.68 ± 0.05 for original to 0.78 ± 0.01 for preprocessed images in the BC group and 0.75 ± 0.01 to 0.80 ± 0.02 in the IBC group. Image preprocessing also improved the prognostic independence of texture features as indicated by multivariate analysis. Surprisingly, the tonal histogram compression by the nonnormalisation preprocessing has prognostically outperformed the tested contrast normalisation algorithms. Generally, features without prognostic value showed higher susceptibility to prognostic enhancement by preprocessing whereas IDM texture feature was exceptionally susceptible. The obtained results are suggestive of the existence of distinct texture prognostic clues in the two examined types of breast cancer. The obtained enhancement of prognostic performance is essential for the anticipated clinical use of this method as a simple and cost-effective prognosticator of cancer outcome.

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“…That is why fractal analysis is a reasonable choice where natural objects are concerned. Assessing the FD in the CT images of some neoplasms maximizes the information obtained from current standard images and can be implemented into the clinical workflow [15,16]. In our previous publication, we described the algorithm of the software which allows measuring of the FD in CT scans of affected lymph nodes [17].…”

Section: Introductionmentioning

confidence: 99%

Hounsfield units and fractal dimension (test HUFRA) for determining PET positive/negative lymph nodes in pediatric Hodgkin’s lymphoma patients

et al. 2020

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Objectives We had developed a method that can help detect and identify lymph nodes affected by the neoplastic process. Our group evaluated the fractal dimension (FD) and X-ray attenuation (XRA) of lymph nodes in HL and compared to their metabolic activity as measured by 18F-FDG-PET examination. Methods The training set included 72 lymph nodes from 31 consecutive patients, and the tested set of 71 lymph nodes from next 19 patients. The measurement of FD of each lymph node was performed before the start of therapy using original software. X-ray attenuation (XRA) expressed in HU (Hounsfield Units) from CT scans was compared with the metabolic activity of the lymphatic nodes, measured by 18F-FDG-PET examination. Results Significant differences were observed between XRA max and FD max values in assessing the PET(+) and PET(-) nodes. All nodes were scored from 0 to 2. The HUFRA test properly qualified 95% with a score of 2 and 0 points as PET(+) or PET(-).

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Fractal Dimension and Lacunarity of Tumor Microscopic Images as Prognostic Indicators of Clinical Outcome in Early Breast Cancer

Cited by 19 publications

References 54 publications

Role of the Interplay Between the Internal and External Conditions in Invasive Behavior of Tumors

Role of the Interplay Between the Internal and External Conditions in Invasive Behavior of Tumors

Effects of different preprocessing algorithms on the prognostic value of breast tumour microscopic images

Hounsfield units and fractal dimension (test HUFRA) for determining PET positive/negative lymph nodes in pediatric Hodgkin’s lymphoma patients

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