Computer-assisted image analysis of preexisting histological patterns of the cephalic vein to predict wrist arteriovenous fistula non-maturation

We used computer-assisted image analysis to determine whether preexisting histological features of the cephalic vein influence the risk of non-maturation of wrist fistulas. This study focused on patients aged 20–80 years who underwent their first wrist fistula creation. A total of 206 patients parti...

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Veröffentlicht in:Journal of the Formosan Medical Association 2025-01, Vol.124 (1), p.57-66
Hauptverfasser: Chen, Jeng-Wei, Ting, Mao, Chang, Po-Ya, Jung, Chiau-Jing, Chang, Chin-Hao, Fang, Shi-Yu, Liu, Li-Wei, Yang, Kelvin Jeason, Yu, Sz-Han, Chen, Yih-Sharng, Chi, Nai-Hsin, Hsu, Ron-Bin, Wang, Chih-Hsien, Wu, I-Hui, Yu, Hsi-Yu, Chan, Chih-Yang
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Sprache:eng
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Zusammenfassung:We used computer-assisted image analysis to determine whether preexisting histological features of the cephalic vein influence the risk of non-maturation of wrist fistulas. This study focused on patients aged 20–80 years who underwent their first wrist fistula creation. A total of 206 patients participated, and vein samples for Masson's trichrome staining were collected from 134 patients. From these, 94 patients provided a complete girth of the venous specimen for automatic image analysis. Maturation was assessed using ultrasound within 90 days after surgery. The collagen to muscle ratio in the target vein, measured by computer-assisted imaging, was a strong predictor of non-maturation in wrist fistulas. Receiver operating characteristic analysis revealed an area under the curve of 0.864 (95% confidence interval of 0.782–0.946, p 1 and ≤ 1 were 51.7% (15 out of 29 patients) and 9.2% (6 out of 65 patients), respectively. Chi-square testing revealed significantly different non-maturation rates between the two groups (X2 (1, N = 94) = 20.9, p 
ISSN:0929-6646
DOI:10.1016/j.jfma.2024.03.004