Operation Room, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, 310000 Zhejiang, China.
Anesthesia Operation Center, Hainan Hospital of PLA General Hospital, Sanya, 572013 Hainan, China.
Comput Math Methods Med. 2022 Jul 11;2022:2182931. doi: 10.1155/2022/2182931. eCollection 2022.
This research was to investigate the value of indocyanine green angiography (ICGA) based on maximum interclass variance (Otsu) method in the nursing plan of intracranial aneurysm clipping (ICAC) for intracranial aneurysm patients. An Otsu algorithm was selected to optimize the original images with the optimal threshold. In addition, the algorithm was applied to ICGA images of 86 patients with intracranial aneurysms, who were randomly divided into an experimental group (using ICGA + ICAC+ perioperative nursing) and a control group (ICAC + conventional nursing), to observe the clinical indicators, treatment, complications, nursing satisfaction, and quality of life of patients in two groups. The results showed that the mean square error (MSE), structural similarity (SSIM), and shape error (SE) were 3.71, 0.84, and 0.47, respectively. The length of hospital stay in the experimental group (19.9 ± 3.5 days) was significantly shorter than that in the control group (23.2 ± 3.0 days), the rate of excellent treatment was significantly higher than that in the control group, and the incidence of complications was lower. WHOQOL-BREF scores of the two groups after nursing intervention were higher than before, and the score in the experimental group was higher than the control group. In addition, the nursing satisfaction was also significantly higher in the experimental group, and the difference was statistically significant ( < 0.05). In conclusion, ICGA based on the Otsu method could effectively evaluate the cerebrovascular morphology during craniotomy and ICAP and improve the surgical efficacy. Combined with perioperative nursing intervention, it could greatly reduce the incidence of postoperative complications, improve the treatment effect and quality of life, and enhance the long-term prognosis.
本研究旨在探讨基于最大类间方差（Otsu）法的吲哚菁绿血管造影（ICGA）在颅内动脉瘤夹闭术（ICAC）护理计划中的价值。选择 Otsu 算法对原始图像进行优化，以获得最佳阈值。此外，该算法还应用于 86 例颅内动脉瘤患者的 ICGA 图像，这些患者被随机分为实验组（使用 ICGA+ICAC+围手术期护理）和对照组（ICAC+常规护理），观察两组患者的临床指标、治疗、并发症、护理满意度和生活质量。结果显示，均方误差（MSE）、结构相似性（SSIM）和形状误差（SE）分别为 3.71、0.84 和 0.47。实验组的住院时间（19.9±3.5 天）明显短于对照组（23.2±3.0 天），治疗优良率明显高于对照组，并发症发生率较低。两组护理干预后的 WHOQOL-BREF 评分均高于护理前，实验组评分高于对照组。此外，实验组的护理满意度也明显较高，差异具有统计学意义（<0.05）。综上所述，基于 Otsu 法的 ICGA 能有效评估开颅及 ICAP 过程中的脑血管形态，提高手术效果。结合围手术期护理干预，可显著降低术后并发症发生率，提高治疗效果和生活质量，增强远期预后。
