Dataset Information

Comparative Multifractal Analysis of Dynamic Infrared Thermograms and X-Ray Mammograms Enlightens Changes in the Environment of Malignant Tumors.

ABSTRACT: There is growing evidence that the microenvironment surrounding a tumor plays a special role in cancer development and cancer therapeutic resistance. Tumors arise from the dysregulation and alteration of both the malignant cells and their environment. By providing tumor-repressing signals, the microenvironment can impose and sustain normal tissue architecture. Once tissue homeostasis is lost, the altered microenvironment can create a niche favoring the tumorigenic transformation process. A major challenge in early breast cancer diagnosis is thus to show that these physiological and architectural alterations can be detected with currently used screening techniques. In a recent study, we used a 1D wavelet-based multi-scale method to analyze breast skin temperature temporal fluctuations collected with an IR thermography camera in patients with breast cancer. This study reveals that the multifractal complexity of temperature fluctuations superimposed on cardiogenic and vasomotor perfusion oscillations observed in healthy breasts is lost in malignant tumor foci in cancerous breasts. Here we use a 2D wavelet-based multifractal method to analyze the spatial fluctuations of breast density in the X-ray mammograms of the same panel of patients. As compared to the long-range correlations and anti-correlations in roughness fluctuations, respectively observed in dense and fatty breast areas, some significant change in the nature of breast density fluctuations with some clear loss of correlations is detected in the neighborhood of malignant tumors. This attests to some architectural disorganization that may deeply affect heat transfer and related thermomechanics in breast tissues, corroborating the change to homogeneous monofractal temperature fluctuations recorded in cancerous breasts with the IR camera. These results open new perspectives in computer-aided methods to assist in early breast cancer diagnosis.

SUBMITTER: Gerasimova-Chechkina E

PROVIDER: S-EPMC4977307 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Comparative Multifractal Analysis of Dynamic Infrared Thermograms and X-Ray Mammograms Enlightens Changes in the Environment of Malignant Tumors.

Gerasimova-Chechkina Evgeniya E Toner Brian B Marin Zach Z Audit Benjamin B Roux Stephane G SG Argoul Francoise F Khalil Andre A Gileva Olga O Naimark Oleg O Arneodo Alain A

Frontiers in physiology 20160809

There is growing evidence that the microenvironment surrounding a tumor plays a special role in cancer development and cancer therapeutic resistance. Tumors arise from the dysregulation and alteration of both the malignant cells and their environment. By providing tumor-repressing signals, the microenvironment can impose and sustain normal tissue architecture. Once tissue homeostasis is lost, the altered microenvironment can create a niche favoring the tumorigenic transformation process. A major ...[more]

PMID: 27555823

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Project description:BackgroundMalignant peripheral nerve sheath tumors (MPNSTs) are aggressive sarcomas that typically carry a dismal prognosis. Given the insensitivity of these tumors to traditional chemotherapy and the absence of effective targeted drugs, new therapeutic strategies are urgently needed. Photothermal therapy (PTT) including near-infrared laser at the third biowindow (NIR-III) has demonstrated significant potential in cancer theranostics due to its minimally invasive nature and excellent therapeutic outcomes. However, the passive utilization of photothermal agents (PTAs) with poor target specificity and biocompatibility substantially hinders the clinical translation and application of this method.MethodsWe evaluated the efficiency, safety, and underlying mechanisms of NIR-III without PTAs in the treatment of MPNSTs. The photothermal performance and tissue penetration capability of the NIR-III laser were evaluated in human MPNST cell lines using CCK-8, Calcein-AM and propidium iodide (PI) staining, and Annexin V-FITC/PI assays. The tumor xenografted mice model was used for evaluating the efficacy and biosafety of NIR-III photothermal ablation. Finally, the underlying mechanisms of NIR-III treatment, explored by whole-transcriptome sequencing, are further verified by RT-qPCR.ResultsWe found that although the NIR-III photothermal treatment efficiency varied among individuals, which was possibly influenced by different endoplasmic reticulum stress responses, the expected antineoplastic effect was ultimately achieved after adjustment of the power density and radiation duration.ConclusionsThe present study provides an intriguing noninvasive therapy for MPNSTs that accelerates the clinical translation of PTT while avoiding the biocompatibility issues arising from PTAs.FundingThis work was supported by grants from National Natural Science Foundation of China (82102344; 82172228); Shanghai Rising Star Program supported by Science and Technology Commission of Shanghai Municipality (20QA1405600); Natural Science Foundation of Shanghai (22ZR1422300); Science and Technology Commission of Shanghai Municipality (19JC1413) ; "Chenguang Program" supported by Shanghai Education Development Foundation (SHEDF) (19CG18); Shanghai Municipal Key Clinical Specialty (shslczdzk00901); Innovative research team of high-level local universities in Shanghai (SSMU-ZDCX20180700).

Project description:Physiological processes-such as, the brain's resting-state electrical activity or hemodynamic fluctuations-exhibit scale-free temporal structuring. However, impacts common in biological systems such as, noise, multiple signal generators, or filtering by transport function, result in multimodal scaling that cannot be reliably assessed by standard analytical tools that assume unimodal scaling. Here, we present two methods to identify breakpoints or crossovers in multimodal multifractal scaling functions. These methods incorporate the robust iterative fitting approach of the focus-based multifractal formalism (FMF). The first approach (moment-wise scaling range adaptivity) allows for a breakpoint-based adaptive treatment that analyzes segregated scale-invariant ranges. The second method (scaling function decomposition method, SFD) is a crossover-based design aimed at decomposing signal constituents from multimodal scaling functions resulting from signal addition or co-sampling, such as, contamination by uncorrelated fractals. We demonstrated that these methods could handle multimodal, mono- or multifractal, and exact or empirical signals alike. Their precision was numerically characterized on ideal signals, and a robust performance was demonstrated on exemplary empirical signals capturing resting-state brain dynamics by near infrared spectroscopy (NIRS), electroencephalography (EEG), and blood oxygen level-dependent functional magnetic resonance imaging (fMRI-BOLD). The NIRS and fMRI-BOLD low-frequency fluctuations were dominated by a multifractal component over an underlying biologically relevant random noise, thus forming a bimodal signal. The crossover between the EEG signal components was found at the boundary between the ? and ? bands, suggesting an independent generator for the multifractal ? rhythm. The robust implementation of the SFD method should be regarded as essential in the seamless processing of large volumes of bimodal fMRI-BOLD imaging data for the topology of multifractal metrics free of the masking effect of the underlying random noise.

Dataset Information

Comparative Multifractal Analysis of Dynamic Infrared Thermograms and X-Ray Mammograms Enlightens Changes in the Environment of Malignant Tumors.

Publications

Comparative Multifractal Analysis of Dynamic Infrared Thermograms and X-Ray Mammograms Enlightens Changes in the Environment of Malignant Tumors.

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