The Use of Fractal Dimension Analysis in Estimation of Blood Vessels Shape in Transplantable Mammary Adenocarcinoma in Wistar Rats after Photodynamic Therapy Combined with Cysteine Protease Inhibitors

Jurczyszyn, Kamil; Osiecka, Beata J.; Ziółkowski, Piotr

doi:10.1155/2012/793291

Cited by 10 publications

(8 citation statements)

References 19 publications

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“…Therapy-induced changes of the fractal dimension δ and the density of the blood vessels are in agreement with our other studies, e.g. [ 13 , 14 ]. The treatment might also change the colonization coefficient m .…”

Section: Discussionsupporting

confidence: 93%

“…This observation indicates that not all effects occurring in the animals were taken into account by our calculation model. It has been suggested, that chemotherapy changes the fractal dimension of the blood vessels [ 13 ]. To test this hypothesis, we extended our simulation software to take these changes into account.…”

Section: Resultsmentioning

confidence: 99%

“…It has been suggested that cancer therapies do not only reduce the mass of the primary tumor but also influence the blood vessel geometry [ 13 , 14 ]. Whether and how this changed blood vessel geometry influences the metastatic behavior is unclear so far.…”

Section: Introductionmentioning

confidence: 99%

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Radiotherapy and chemotherapy change vessel tree geometry and metastatic spread in a small cell lung cancer xenograft mouse tumor model

et al. 2017

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BackgroundTumor vasculature is critical for tumor growth, formation of distant metastases and efficiency of radio- and chemotherapy treatments. However, how the vasculature itself is affected during cancer treatment regarding to the metastatic behavior has not been thoroughly investigated. Therefore, the aim of this study was to analyze the influence of hypofractionated radiotherapy and cisplatin chemotherapy on vessel tree geometry and metastasis formation in a small cell lung cancer xenograft mouse tumor model to investigate the spread of malignant cells during different treatments modalities.MethodsThe biological data gained during these experiments were fed into our previously developed computer model “Cancer and Treatment Simulation Tool” (CaTSiT) to model the growth of the primary tumor, its metastatic deposit and also the influence on different therapies. Furthermore, we performed quantitative histology analyses to verify our predictions in xenograft mouse tumor model.ResultsAccording to the computer simulation the number of cells engrafting must vary considerably to explain the different weights of the primary tumor at the end of the experiment. Once a primary tumor is established, the fractal dimension of its vasculature correlates with the tumor size. Furthermore, the fractal dimension of the tumor vasculature changes during treatment, indicating that the therapy affects the blood vessels’ geometry. We corroborated these findings with a quantitative histological analysis showing that the blood vessel density is depleted during radiotherapy and cisplatin chemotherapy. The CaTSiT computer model reveals that chemotherapy influences the tumor’s therapeutic susceptibility and its metastatic spreading behavior.ConclusionUsing a system biological approach in combination with xenograft models and computer simulations revealed that the usage of chemotherapy and radiation therapy determines the spreading behavior by changing the blood vessel geometry of the primary tumor.

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Section: Discussionsupporting

confidence: 93%

Section: Resultsmentioning

confidence: 99%

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Radiotherapy and chemotherapy change vessel tree geometry and metastatic spread in a small cell lung cancer xenograft mouse tumor model

et al. 2017

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“…Vessel density (Vessels/mm 2 ) was calculated by dividing the total number of vessel segments in the image by the size of the area (16mm 2 ). Lastly, the fractal dimension of the skeleton network was calculated using the box-counting method [31], which outputs a value between 0 and 3, with higher values indicating a more irregular and tortuous network.…”

Section: (E))mentioning

confidence: 99%

Sub-clinical assessment of atopic dermatitis severity using angiographic optical coherence tomography

Byers

Maiti

Danby

et al. 2018

Biomed. Opt. Express

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Measurement of sub-clinical atopic dermatitis (AD) is important for determining how long therapies should be continued after clinical clearance of visible AD lesions. An important biomarker of sub-clinical AD is epidermal hypertrophy, the structural measures of which often make optical coherence tomography (OCT) challenging due to the lack of a clearly delineated dermal-epidermal junction in AD patients. Alternatively, angiographic OCT measurements of vascular depth and morphology may represent a robust biomarker for quantifying the severity of clinical and sub-clinical AD. To investigate this, angiographic data sets were acquired from 32 patients with a range of AD severities. Deeper vascular layers within skin were found to correlate with increasing clinical severity. Furthermore, for AD patients exhibiting no clinical symptoms, the superficial plexus depth was found to be significantly deeper than healthy patients at both the elbow (p = 0.04) and knee (p<0.001), suggesting that sub-clinical changes in severity can be detected. Furthermore, the morphology of vessels appeared altered in patients with severe AD, with significantly different vessel diameter, length, density and fractal dimension. These metrics provide valuable insight into the sub-clinical severity of the condition, allowing the effects of treatments to be monitored past the point of clinical remission.

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“…In this context, we note also Gazit et al [9] as one of the first who employed fractal theory to compute the vessel networks that surround a tumor and computed the hemodynamics within these vessels. The fractal approach was then sustained by the works of Grizzi et al [10], Dobrescu [11], Shim et al [12], Jurczyszyn et al [13].…”

Section: Related Work On Tumor Angiogenesis Modelingmentioning

confidence: 99%

Characterization of Tumor Angiogenesis Using Fractal Measures

Ichim

Dobrescu

2013

2013 19th International Conference on Control Systems and Computer Science

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Tumors vascular networks are different from normal vascular networks, but the mechanisms underlying these differences are not known. Underlying these mechanisms may be key to improving the efficacy of the treatment of tumor. We studied possibility to apply two types of fractal measure: fractal dimension and succolarity for characterizing medical images. We find that fractal dimension value to the normal vasculature is smaller than the results for the tumor vasculature. Moreover, for applying succolarity the results do not vary considerable with the direction in normal vasculature, while for tumor vasculature the curves differs significantly. In conclusion, the results obtained show that the fractal measure is an important tool for analyzing medical images.

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The Use of Fractal Dimension Analysis in Estimation of Blood Vessels Shape in Transplantable Mammary Adenocarcinoma in Wistar Rats after Photodynamic Therapy Combined with Cysteine Protease Inhibitors

Cited by 10 publications

References 19 publications

Radiotherapy and chemotherapy change vessel tree geometry and metastatic spread in a small cell lung cancer xenograft mouse tumor model

Radiotherapy and chemotherapy change vessel tree geometry and metastatic spread in a small cell lung cancer xenograft mouse tumor model

Sub-clinical assessment of atopic dermatitis severity using angiographic optical coherence tomography

Characterization of Tumor Angiogenesis Using Fractal Measures

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