Chest adipose tissue distribution in patients with morbid obesity

Lemanowicz, Adam; Leszczyński, Waldemar; Rusak, Grażyna; Białecki, Marcin; Ratajczak, Przemysław

doi:10.5114/pjr.2018.73406

Cited by 3 publications

(4 citation statements)

References 35 publications

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“…The fat content in a human being is not constant and changes from person to person [45], [46]. In order to From the results obtained, we can claim that it is possible to detect changes in lung water content using the microwave sensor mentioned in this paper.…”

Section: Simulation Methodologymentioning

confidence: 89%

Modeling and Analysis of Lung Water Content Using RF Sensor

Ganguly,

Das,

Chakrabarti

et al. 2024

IEEE Open J. Instrum. Meas.

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Abnormal fluid buildup in the lungs, termed pulmonary edema (PE), is a result of congestive heart failure. It is a life-threatening condition, and early detection and prompt treatment can help save lives. In this paper, we demonstrate the feasibility of using a microwave sensor to monitor changes in lung water content and hence detect pulmonary edema. The research paper utilizes a combination of the Debye and Maxwell models, along with the Cole-Cole equation, to evaluate alterations in the dielectric properties and conductivity of lung tissue. By incorporating elements such as air and water found within the tissue, this dielectric model has been employed to foresee how lung tissues behave when subjected to different levels of hydration and inflation. A printed antenna resonating at 2.4 GHz was designed to work as a sensor. The static dielectric parameters of lung tissue at various water volume fractions were calculated at 2.4 GHz using the Debye-Maxwell model. These parameters were substituted in the Cole-Cole equation to calculate the dielectric constant of lung tissue for different levels of water in the lungs. These values were then substituted in the simulation environment where the sensor is placed on blocks modeling the human thorax.This work is a first of its kind where the dielectric parameters at different levels of hydration have been previously estimated using mathematical models and substituted accordingly in the modeling environment to test the possibility of detection of pulmonary edema with high precision. It was observed that the magnitude of the reflection coefficient values changes with increasing water volume fraction, making the microwave method of detection of pulmonary edema feasible and a reliable technique. INDEX TERMS Microwave sensor, dielectric properties of lung, pulmonary edema, coupled Debye and Maxwell model, Cole-Cole model

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Section: Simulation Methodologymentioning

confidence: 89%

Modeling and Analysis of Lung Water Content Using RF Sensor

Ganguly,

Das,

Chakrabarti

et al. 2024

IEEE Open J. Instrum. Meas.

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“…A study by Lemanowicz et al. 11 found the level of patient obesity to have the highest correlation with the chest soft tissue thickness; thus, it was considered correct to keep the internal organs unchanged for the first set of models.…”

Section: Methodsmentioning

confidence: 99%

Methodology to create 3D models of COVID-19 pathologies for virtual clinical trials

et al. 2021

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. Purpose: We describe the creation of computational models of lung pathologies indicative of COVID-19 disease. The models are intended for use in virtual clinical trials (VCT) for task-specific optimization of chest x-ray (CXR) imaging. Approach: Images of COVID-19 patients confirmed by computed tomography were used to segment areas of increased attenuation in the lungs, all compatible with ground glass opacities and consolidations. Using a modeling methodology, the segmented pathologies were converted to polygonal meshes and adapted to fit the lungs of a previously developed polygonal mesh thorax phantom. The models were then voxelized with a resolution of and used as input in a simulation framework to generate radiographic images. Primary projections were generated via ray tracing while the Monte Carlo transport code was used for the scattered radiation. Realistic sharpness and noise characteristics were also simulated, followed by clinical image processing. Example images generated at 120 kVp were used for the validation of the models in a reader study. Additionally, images were uploaded to an Artificial Intelligence (AI) software for the detection of COVID-19. Results: Nine models of COVID-19 associated pathologies were created, covering a range of disease severity. The realism of the models was confirmed by experienced radiologists and by dedicated AI software. Conclusions: A methodology has been developed for the rapid generation of realistic 3D models of a large range of COVID-19 pathologies. The modeling framework can be used as the basis for VCTs for testing detection and triaging of COVID-19 suspected cases.

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“…Hyperglycemia and insulin resistance are hallmarks of diabetes; the prevalence of diabetes is almost 425 million people globally, but this number would be twice that if it considered the people who are currently undiagnosed [1]. Inactivity, a hypercaloric diet, and lack of exercise have aggravated the diabetes epidemic, and this disease has a large impact on the quality of life of the people who are diagnosed with it [2]. The current pharmacotherapy to treat diabetes consists of a wide roster of drugs that have a variety of modes of action [3].…”

Section: Introductionmentioning

confidence: 99%

“…Altogether, this study supports the potential of these nine acid bioisosteres (derived from phenylacetic and phenylpropanoic acids as well as benzylidenethiazolidine-2,4-dione) to control blood glucose through a "multitarget activity" approach for the experimental treatment of diabetes. and lack of exercise have aggravated the diabetes epidemic, and this disease has a large impact on the quality of life of the people who are diagnosed with it [2]. The current pharmacotherapy to treat diabetes consists of a wide roster of drugs that have a variety of modes of action [3].…”

Section: Introductionmentioning

confidence: 99%

Design, Synthesis, and In Silico Multitarget Pharmacological Simulations of Acid Bioisosteres with a Validated In Vivo Antihyperglycemic Effect

et al. 2021

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Substituted phenylacetic (1–3), phenylpropanoic (4–6), and benzylidenethiazolidine-2,4-dione (7–9) derivatives were designed according to a multitarget unified pharmacophore pattern that has shown robust antidiabetic activity. This bioactivity is due to the simultaneous polypharmacological stimulation of receptors PPARα, PPARγ, and GPR40 and the enzyme inhibition of aldose reductase (AR) and protein tyrosine phosphatase 1B (PTP-1B). The nine compounds share the same four pharmacophore elements: an acid moiety, an aromatic ring, a bulky hydrophobic group, and a flexible linker between the latter two elements. Addition and substitution reactions were performed to obtain molecules at moderated yields. In silico pharmacological consensus analysis (PHACA) was conducted to determine their possible modes of action, protein affinities, toxicological activities, and drug-like properties. The results were combined with in vivo assays to evaluate the ability of these compounds to decrease glucose levels in diabetic mice at a 100 mg/kg single dose. Compounds 6 (a phenylpropanoic acid derivative) and 9 (a benzylidenethiazolidine-2,4-dione derivative) ameliorated the hyperglycemic peak in a statically significant manner in a mouse model of type 2 diabetes. Finally, molecular dynamics simulations were executed on the top performing compounds to shed light on their mechanism of action. The simulations showed the flexible nature of the binding pocket of AR, and showed that both compounds remained bound during the simulation time, although not sharing the same binding mode. In conclusion, we designed nine acid bioisosteres with robust in vivo antihyperglycemic activity that were predicted to have favorable pharmacokinetic and toxicological profiles. Together, these findings provide evidence that supports the molecular design we employed, where the unified pharmacophores possess a strong antidiabetic action due to their multitarget activation.

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Chest adipose tissue distribution in patients with morbid obesity

Cited by 3 publications

References 35 publications

Modeling and Analysis of Lung Water Content Using RF Sensor

Modeling and Analysis of Lung Water Content Using RF Sensor

Methodology to create 3D models of COVID-19 pathologies for virtual clinical trials

Design, Synthesis, and In Silico Multitarget Pharmacological Simulations of Acid Bioisosteres with a Validated In Vivo Antihyperglycemic Effect

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