Antral Variation of Murine Gastric Pacemaker Cells Informed by Confocal Imaging and Machine Learning Methods

Mah, Sue Ann; Avci, Recep; Du, Peng; Vanderwinden, Jean‐Marie; Cheng, Leo K.

doi:10.1109/embc46164.2021.9630341

Cited by 6 publications

(5 citation statements)

References 19 publications

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“…This present study emphasizes the significance of ICC structural connectivity on slow wave propagation, supported by compelling evidence from previous research [8,10]. The Succolarity measures of ICC-LM network in the aboral direction were found to be consistently higher in the proximal than in the distal antrum; suggesting that the intensity of longitudinal muscle contractions decreases aborally towards the terminal antrum possibly to restrict digesta from accelerating pass the pyloric region [26]. Extracellular mapping studies have demonstrated increased SW amplitude (stronger activity) and velocity in the prepyloric antrum [4].…”

Section: Discussionsupporting

confidence: 87%

“…1e) are viewed, it is evident that the MP layer contains significantly denser ICC than the surrounding tissue layers [26]. The thickness of each tissue layer along the gastric wall was manually demarcated for each image stack [26]. Variations in the density of ICC could be visually observed along the transmural direction from the circumferentially and longitudinally-projected 2D images (Fig.…”

Section: Whole-mount Icc Image Acquisition and Segmentationmentioning

confidence: 97%

“…1d) and circumferential direction (Fig. 1e) are viewed, it is evident that the MP layer contains significantly denser ICC than the surrounding tissue layers [26]. The thickness of each tissue layer along the gastric wall was manually demarcated for each image stack [26].…”

Section: Whole-mount Icc Image Acquisition and Segmentationmentioning

confidence: 99%

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Three-Dimensional Fractal Analysis of the Interstitial Cells of Cajal Networks of Gastrointestinal Tissue Specimens

Mah,

Avci,

Vanderwinden

et al. 2023

Cel. Mol. Bioeng.

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Introduction Several functional gastrointestinal disorders (FGIDs) have been associated with the degradation or remodeling of the network of interstitial cells of Cajal (ICC). Introducing fractal analysis to the field of gastroenterology as a promising data analytics approach to extract key structural characteristics that may provide insightful features for machine learning applications in disease diagnostics. Fractal geometry has advantages over several physically based parameters (or classical metrics) for analysis of intricate and complex microstructures that could be applied to ICC networks. Methods In this study, three fractal structural parameters: Fractal Dimension, Lacunarity, and Succolarity were employed to characterize scale-invariant complexity, heterogeneity, and anisotropy; respectively of three types of gastric ICC network structures from a flat-mount transgenic mouse stomach. ResultsThe Fractal Dimension of ICC in the longitudinal muscle layer was found to be significantly lower than ICC in the myenteric plexus and circumferential muscle in the proximal, and distal antrum, respectively (both p < 0.0001). Conversely, the Lacunarity parameters for ICC-LM and ICC-CM were found to be significantly higher than ICC-MP in the proximal and in the distal antrum, respectively (both p < 0.0001). The Succolarity measures of ICC-LM network in the aboral direction were found to be consistently higher in the proximal than in the distal antrum (p < 0.05). Conclusions The fractal parameters presented here could go beyond the limitation of classical metrics to provide better understanding of the structural-functional relationship between ICC networks and the conduction of gastric bioelectrical slow waves.

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Section: Discussionsupporting

confidence: 87%

Section: Whole-mount Icc Image Acquisition and Segmentationmentioning

confidence: 97%

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Three-Dimensional Fractal Analysis of the Interstitial Cells of Cajal Networks of Gastrointestinal Tissue Specimens

Mah,

Avci,

Vanderwinden

et al. 2023

Cel. Mol. Bioeng.

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“…The validated Weka Fast Random Forest (FRF) machine learning model deduced previously was adapted to the present dataset without further training for segmenting all networks of ICC 36,37 . Following segmentation, each transmural image stack (serosa to mucosa) was visually inspected to categorise image slices belonging to the LM, MP and the CM regions 35 based on the segmented networks of ICC-LM, ICC-MP and ICC-CM that could be observed.…”

Section: Tissue Preparation Confocal Imaging Icc Segmentation and Ide...mentioning

confidence: 99%

Unravelling the Three-Dimensional Structure-Function Relationships of Interstitial Cells of Cajal Networks: A Graph Theoretical Approach to Neurogastroenterology

Mah,

Avci,

Vanderwinden

et al. 2023

Preprint

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Specific structural traits such as deficient or altered networks of interstitical cells of Cajal (ICC) are often observed in gastroparesis, constipation, chronic intestinal pseudo-obstruction, and Hirschsprung disease based on qualitative histopathological findings, serve as key factors in inferring the health of gastrointestinal (GI) motility function. However, the assessment of ICC at present is limited by the lack of readily available 3D quantitative metrics. Although confocal microscopy can image and quantify the spatial distribution of ICC networks, current techniques to evaluate ICC in histological studies are limited to nuclei counts, or simply by objective visual grading. Although a suite of numerical metrics for the quantitative assessment of the structural features of ICC networks has previously been developed. However, the analysis has been limited to the analysis of ICC structure in 2D images. A 3D framework for quantifying and visualising these ICC networks could provide a valuable tool to elucidate the pathophysiology of GI motility disorders. In our analysis, 3D visualization techniques namely, 3D structure tensor analysis, 3D Fourier analysis, 3D Graph Network, capable of providing whole-mount gastric antrum tissue imaging representations of proximal and distal regional descriptors based on fluorescence data acquisition have been developed. Using the murine stomach as a model, the methods outlined in this paper allowed us to analyse and interrogate the gastrointestinal ICC networks structural variations and orientation distribution and better infer and delineate the underlying structural network in unprecedented detail.

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“…First have roots in statistics and the second family is related to AI methods. The generalizability and implementation of this classifiers could represent a breakthrough in using automated algorithms, but this can be limited by the use of simple statistical correlation analysis, like Waikato Environment for Knowledge Analysis (WEKA 3) 176 and neural network algorithms, like Matlab. 177 , 178 The R collection of algorithms 179 is easy to use for automatic tuning of features and it is available for researchers that are just familiarized with the methodology of statistics.…”

Section: Notes On the Advantages And Limitations Of Classifications A...mentioning

confidence: 99%

Radiomics in prostate cancer: an up-to-date review

Ferro

Cobelli

Musi

et al. 2022

Therapeutic Advances in Urology

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Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male population. The diagnosis, the identification of aggressive disease, and the post-treatment follow-up needs a more comprehensive and holistic approach. Radiomics is the extraction and interpretation of images phenotypes in a quantitative manner. Radiomics may give an advantage through advancements in imaging modalities and through the potential power of artificial intelligence techniques by translating those features into clinical outcome prediction. This article gives an overview on the current evidence of methodology and reviews the available literature on radiomics in PCa patients, highlighting its potential for personalized treatment and future applications.

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Antral Variation of Murine Gastric Pacemaker Cells Informed by Confocal Imaging and Machine Learning Methods

Cited by 6 publications

References 19 publications

Three-Dimensional Fractal Analysis of the Interstitial Cells of Cajal Networks of Gastrointestinal Tissue Specimens

Three-Dimensional Fractal Analysis of the Interstitial Cells of Cajal Networks of Gastrointestinal Tissue Specimens

Unravelling the Three-Dimensional Structure-Function Relationships of Interstitial Cells of Cajal Networks: A Graph Theoretical Approach to Neurogastroenterology

Radiomics in prostate cancer: an up-to-date review

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