Application value analysis of drainage supported by multi scenario AI system in the treatment of minor thalamic hemorrhage with significant neurological damage
10.3969/j.issn.1002-0152.2025.08.002
- VernacularTitle:多场景人工智能系统支持下血肿引流术在伴有显著神经功能损伤小量高血压性丘脑出血治疗中的应用
- Author:
Xianghui ZHANG
1
;
Ruishan ZHANG
1
;
Weimin ZHANG
1
;
Baoming JIA
1
;
Hongbin KU
1
Author Information
1. 河北省邢台市中心医院神经外科(邢台 054000)
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Multi-scenario;
Hypertensive thalamic hemorrhage;
Drainage;
Stereotactic surgical robot;
Multimodal image fusion
- From:
Chinese Journal of Nervous and Mental Diseases
2025;51(8):455-461
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the clinical utility of hematoma drainage supported by a multi scenario artificial intelligence(AI)system in the treatment of minor hypertensive thalamic hemorrhage(HTH)with significant neurological dysfunction.Method A retrospective analysis was conducted on minor HTH patients with significant neurological damage and incomplete interruption of corticospinal tract(CST)on the affected side.Patients in the study group received Robot of Stereotactic Surgery(ROSS)assisted drainage surgery supported by AI systems in multiple scenarios such as image reading,surgery,and follow-up.The control group received standard pharmacological treatment.Comparative analyses were performed between two groups regarding regional cerebral blood flow(rCBF),changes in rCBF(ΔrCBF),Glasgow Coma Scale(GCS),changes in GCS(ΔGCS)after 14 days of treatment and National Institutes of Health Stroke Scale(NIHSS),changes in NIHSS(ΔNIHSS),Modified Rankin Scale(mRS),changes in mRS(ΔmRS)after 90 days of treatment.to evaluate the application value of multi scenario AI system supported hematoma drainage surgery in this patient population.Results A total of 88 cases were included,with 41 in the study group and 47 in the control group.The GCS and ΔGCS values of the study group and the control group at 14 days of post-treatment were 13.4±1.6 vs 13.3±1.5 and 1.1(0.8,1.9)vs.1.1(0.9,1.8),respectively with no statistically significant difference(P>0.05).At 14 days post-treatment,statistically significant difference were observed in the rCBF of the posterior limb of the internal capsule[(379.0±55.1)mL/(kg·min)vs.(263.0±34.4)mL/(kg·min)]and the ΔrCBF[(240.0±60.6)mL/(kg·min)vs.(121.0±43.9)mL/(kg·min)].At 90 day post-treatment,statistically significant difference were also found in the NIHSS scores(3.5±1.6 vs.6.4±2.1),ΔNIHSS(-4.1±1.7 vs.-0.9±0.6),mRS scores(1.1±0.3 vs.2.3±1.0),and ΔmRS[-2.1(-2.9,-1.1)vs.-0.8(-1.4,-0.6)](P<0.05).Conclusion Hematoma drainage surgery supported by multi scenario AI systems can significantly benefit minor HTH patients with significant neurological damage and incomplete interruption of CST on the affected side.
