Ultrasound Echotexture Analysis as a Diagnostic Adjunct for Naja atra Envenomation Versus Cellulitis in Acute Limb Swelling

Objectives:Naja atra (N. atra) envenomation and cellulitis frequently present with overlapping clinical features of acutely swollen extremities, creating a diagnostic dilemma during the early clinical course of acute limb swelling. This study investigated whether ultrasound imaging with echotexture analysis can effectively differentiate these two conditions. Methods: This retrospective cross-sectional study conducted at Taichung Veterans General Hospital included 115 ultrasound images from 84 patients categorized into three groups: confirmed N. atra envenomation (n = 45), confirmed non-snakebite cellulitis (n = 40), and controls (n = 30). Gray-level co-occurrence matrix (GLCM) features including contrast, correlation, energy, and homogeneity, along with the grayscale value and the power Doppler vascularity-to-ROI ratio, were quantitatively computed from ultrasound images. Group comparisons used generalized estimating equations to account for multiple images from the same patient, with Bonferroni correction for pairwise comparisons. Diagnostic accuracy was evaluated using receiver operating characteristic (ROC) curve analysis. Results: Significant differences among the three groups were found for contrast (p < 0.001), correlation (p < 0.001), homogeneity (p = 0.005), and the vascularity-to-ROI ratio (p < 0.001). In pairwise comparisons between N. atra envenomation and cellulitis, contrast was significantly higher (0.273 ± 0.068 versus 0.230 ± 0.040, p = 0.001) and homogeneity was lower (0.878 ± 0.020 versus 0.890 ± 0.017, p = 0.004) in the N. atra group. ROC curve analysis for discriminating N. atra envenomation from cellulitis yielded an Area Under the Curve of 0.707 (95% confidence interval, 0.591–0.824) for contrast and 0.684 (95% confidence interval, 0.568–0.800) for homogeneity. At an optimal cutoff of ≥ 0.243, contrast achieved 73.3% sensitivity and 70.0% specificity. Conclusions: Echotexture analysis, specifically contrast and homogeneity, may differentiate N. atra envenomation from cellulitis. These parameters may reflect the heterogeneous tissue destruction induced by venom compared to the diffuse inflammation seen in cellulitis. These proof-of-concept findings require validation in larger prospective cohorts before clinical application.

Authors

Institutions

Publication Details

Journal
Diagnostics
Published
2026-10-30
DOI
https://doi.org/10.3390/diagnostics16213594
Primary Topic
Venomous Animal Envenomation and Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ultrasound Echotexture Analysis as a Diagnostic Adjunct for Naja atra Envenomation Versus Cellulitis in Acute Limb Swelling

Chih‐Sheng Lai, Po‐Yu Liu, Ting-Kuang Yeh, Chien-Hao Tseng et al.
2 links
Diagnostics
Venomous Animal Envenomation and Studies
article

Ultrasound Echotexture Analysis as a Diagnostic Adjunct for Naja atra Envenomation Versus Cellulitis in Acute Limb Swelling

Chih‐Sheng Lai, Po‐Yu Liu, Ting-Kuang Yeh, Chien-Hao Tseng, Yan‐Chiao Mao, Po-Hsiu Huang, Kuo‐Lung Lai, Hsien-Po Huang
article en

Abstract

Objectives:Naja atra (N. atra) envenomation and cellulitis frequently present with overlapping clinical features of acutely swollen extremities, creating a diagnostic dilemma during the early clinical course of acute limb swelling. This study investigated whether ultrasound imaging with echotexture analysis can effectively differentiate these two conditions. Methods: This retrospective cross-sectional study conducted at Taichung Veterans General Hospital included 115 ultrasound images from 84 patients categorized into three groups: confirmed N. atra envenomation (n = 45), confirmed non-snakebite cellulitis (n = 40), and controls (n = 30). Gray-level co-occurrence matrix (GLCM) features including contrast, correlation, energy, and homogeneity, along with the grayscale value and the power Doppler vascularity-to-ROI ratio, were quantitatively computed from ultrasound images. Group comparisons used generalized estimating equations to account for multiple images from the same patient, with Bonferroni correction for pairwise comparisons. Diagnostic accuracy was evaluated using receiver operating characteristic (ROC) curve analysis. Results: Significant differences among the three groups were found for contrast (p < 0.001), correlation (p < 0.001), homogeneity (p = 0.005), and the vascularity-to-ROI ratio (p < 0.001). In pairwise comparisons between N. atra envenomation and cellulitis, contrast was significantly higher (0.273 ± 0.068 versus 0.230 ± 0.040, p = 0.001) and homogeneity was lower (0.878 ± 0.020 versus 0.890 ± 0.017, p = 0.004) in the N. atra group. ROC curve analysis for discriminating N. atra envenomation from cellulitis yielded an Area Under the Curve of 0.707 (95% confidence interval, 0.591–0.824) for contrast and 0.684 (95% confidence interval, 0.568–0.800) for homogeneity. At an optimal cutoff of ≥ 0.243, contrast achieved 73.3% sensitivity and 70.0% specificity. Conclusions: Echotexture analysis, specifically contrast and homogeneity, may differentiate N. atra envenomation from cellulitis. These parameters may reflect the heterogeneous tissue destruction induced by venom compared to the diffuse inflammation seen in cellulitis. These proof-of-concept findings require validation in larger prospective cohorts before clinical application.

DiagnosticsVol. 16(21)
National Yang Ming Chiao Tung University (TW), National Chung Hsing University (TW), Taichung Veterans General Hospital (TW), Taipei Medical University (TW), National Defense Medical Center (TW)
Taichung Veterans General Hospital
Good health and well-being
Openalex Percentile: Top 15%
Venomous Animal Envenomation and Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon