Annals of Clinical and Translational Neurology (Aug 2023)

Nomogram to predict unfavorable outcome of endovascular thrombectomy for large ischemic core

  • Nannan Han,
  • Xiaobo Zhang,
  • Yu Zhang,
  • Yu Liu,
  • Yongqin Zhang,
  • Haojun Ma,
  • Hanming Ge,
  • Shilin Li,
  • Xiao Zhang,
  • Xudong Yan,
  • Tengfei Li,
  • Bin Gao,
  • Chengxue Du,
  • Xinchao Ji,
  • Wenzhen Shi,
  • Ye Tian,
  • Mingze Chang

DOI
https://doi.org/10.1002/acn3.51826
Journal volume & issue
Vol. 10, no. 8
pp. 1353 – 1364

Abstract

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Abstract Objective The prognosis for patients presenting with a large ischemic core (LIC) following endovascular thrombectomy is relatively poor. This study aimed to construct and validate a nomogram for predicting 3‐month unfavorable outcome in patients with anterior circulation occlusion‐related LIC who underwent endovascular thrombectomy. Methods A retrospective training cohort and a prospective validation cohort of patients with a large ischemic core were studied. The diffusion weighted imaging related radiomic features and pre‐thrombectomy clinical features were collected. After the selection of relevant features, a nomogram predicting modified Rankin Scale score of 3–6 as an unfavorable outcome was established. The discriminatory value of the nomogram was evaluated with a receiver operating characteristic curve. Results A total of 140 patients (mean age 66.3 ± 13.4 years, 35% female) were included in this study, consisting of a training cohort (n = 95) and a validation cohort (n = 45). The percentage of patients with an mRS scores of 0–2 was 30%, 0–3 was 40.7%, and 32.9% were dead. Age, National Institute of Health Stroke Scale (NIHSS) score, and two radiomic features, Maximum2DDiameterColumn and Maximum2DDiameterSlice, were identified as factors associated with unfavorable outcome in the nomogram. The nomogram demonstrated an area under the curve of 0.892 (95% confidence interval [CI], 0.812–0.947) in the training dataset and 0.872 (95% CI, 0.739–0.953) in the validation dataset. Interpretation This nomogram, which includes age, NIHSS score, Maximum2DDiameterColumn, and Maximum2DDiameterSlice, may predict the risk of unfavorable outcome in patients with LIC caused by anterior circulation occlusion.