Characterization of nanosensitive multifractality in submicron scale tissue morphology and its alteration in tumor progression

Das, Nandan; Alexandrov, Sergey; Gilligan, Katie; Dwyer, Róisín M.; Saager, Rolf B.; Ghosh, Nirmalya; Leahy, Martin J.

doi:10.1117/1.jbo.26.1.016003

Cited by 8 publications

(8 citation statements)

References 35 publications

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“…Furthermore, the integral characterization of cancer patients by means of an integrated analysis of clinical-biological(tumour and patient)-functional-bioelectrical parameters [61] is possible from these larger networks. The cancer fractality at submicron [60] and tissue [1,4,5] levels confirms the close relation of the multiscale hierarchies in malignant tumours.…”

Section: Discussionsupporting

confidence: 64%

“…Large networks of systems in cancer patients allow us to suggest that alterations are not only due to changes at tissue, cellular and molecular levels [8], but also to nanometric changes, as reported in [60]. Furthermore, the integral characterization of cancer patients by means of an integrated analysis of clinical-biological(tumour and patient)-functional-bioelectrical parameters [61] is possible from these larger networks.…”

Section: Discussionmentioning

confidence: 99%

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Simulations of surface charge density changes during the untreated solid tumour growth

et al. 2022

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Understanding untreated tumour growth kinetics and its intrinsic behaviour is interesting and intriguing. The aim of this study is to propose an approximate analytical expression that allows us to simulate changes in surface charge density at the cancer-surrounding healthy tissue interface during the untreated solid tumour growth. For this, the Gompertz and Poisson equations are used. Simulations reveal that the unperturbed solid tumour growth is closely related to changes in the surface charge density over time between the tumour and the surrounding healthy tissue. Furthermore, the unperturbed solid tumour growth is governed by temporal changes in this surface charge density. It is concluded that results corroborate the correspondence between the electrical and physiological parameters in the untreated cancer, which may have an essential role in its growth, progression, metastasis and protection against immune system attack and anti-cancer therapies. In addition, the knowledge of surface charge density changes at the cancer-surrounding healthy tissue interface may be relevant when redesigning the molecules in chemotherapy and immunotherapy taking into account their polarities. This can also be true in the design of completely novel therapies.

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Section: Discussionsupporting

confidence: 64%

Section: Discussionmentioning

confidence: 99%

Simulations of surface charge density changes during the untreated solid tumour growth

et al. 2022

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“…The depth resolution of an OCT system is defined by the source coherence length, with typical values of 6–15 µm in air, and the lateral resolution by probe beam size diameter. Nano-sensitive OCT is a modern design that provides extra sensitivity to nanometer-scale structural changes or measurements [ 12 , 13 , 14 , 15 , 16 , 17 ]. Though depicting cellular or sub-cellular level structures remains a challenge, the imaging resolution of OCT is still at least 20 times finer than other in vivo 3D imaging techniques, such as ultrasound.…”

Section: Conventional Octmentioning

confidence: 99%

Molecular Contrast Optical Coherence Tomography and Its Applications in Medicine

Wang

Gao

et al. 2022

IJMS

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The growing need to understand the molecular mechanisms of diseases has prompted the revolution in molecular imaging techniques along with nanomedicine development. Conventional optical coherence tomography (OCT) is a low-cost in vivo imaging modality that provides unique high spatial and temporal resolution anatomic images but little molecular information. However, given the widespread adoption of OCT in research and clinical practice, its robust molecular imaging extensions are strongly desired to combine with anatomical images. A range of relevant approaches has been reported already. In this article, we review the recent advances of molecular contrast OCT imaging techniques, the corresponding contrast agents, especially the nanoparticle-based ones, and their applications. We also summarize the properties, design criteria, merit, and demerit of those contrast agents. In the end, the prospects and challenges for further research and development in this field are outlined.

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“…A reliable and label-free approach to identify and quantify M and NM tissues on conventional histological cross-sections, and thus to detect nanoscale changes associated with the progress of carcinogenesis in tissue for early diagnosis and effective treatment is challenging [ 37 ]. To reduce the size of the histological cross-sections to be analyzed, AFM is a powerful technique because of performing direct three-dimensional imaging of cells and tissues going far beyond the resolution limits of optical microscopes.…”

Section: Introductionmentioning

confidence: 99%

Universal Markers Unveil Metastatic Cancerous Cross-Sections at Nanoscale

Bakalis

Ferraro

Gavriil

et al. 2022

Cancers

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The characterization of cancer histological sections as metastatic, M, or not-metastatic, NM, at the cellular size level is important for early diagnosis and treatment. We present timely warning markers of metastasis, not identified by existing protocols and used methods. Digitized atomic force microscopy images of human histological cross-sections of M and NM colorectal cancer cells were analyzed by multifractal detrended fluctuation analysis and the generalized moments method analysis. Findings emphasize the multifractal character of all samples and accentuate room for the differentiation of M from NM cross-sections. Two universal markers emphatically achieve this goal performing very well: (a) the ratio of the singularity parameters (left/right), which are defined relative to weak/strong fluctuations in the multifractal spectrum, is always greater than 0.8 for NM tissues; and (b) the index of multifractality, used to classify universal multifractals, points to log-normal distribution for NM and to log-Cauchy for M tissues. An immediate large-scale screening of cancerous sections is doable based on these findings.

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Characterization of nanosensitive multifractality in submicron scale tissue morphology and its alteration in tumor progression

Cited by 8 publications

References 35 publications

Simulations of surface charge density changes during the untreated solid tumour growth

Simulations of surface charge density changes during the untreated solid tumour growth

Molecular Contrast Optical Coherence Tomography and Its Applications in Medicine

Universal Markers Unveil Metastatic Cancerous Cross-Sections at Nanoscale

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