Background
Intracerebral hemorrhage (ICH) is the stroke subtype with the highest mortality and disability rates, and early hematoma evacuation is crucial for improving prognosis. Compared to traditional craniotomy, which involves significant trauma and slow recovery, minimally invasive surgery (MIS) has emerged as a highly promising treatment option due to its advantages of shorter operative time, reduced trauma, and faster recovery. However, postoperative rebleeding, one of the most severe complications following MIS, looms like the Sword of Damocles over patients, significantly reducing survival rates and functional recovery levels. Therefore, gaining a deep, systematic understanding of its occurrence patterns and establishing an effective early warning and prevention system represent critical clinical challenges that urgently need to be addressed in the fields of intracerebral hemorrhage and neurocritical care.
Core Content
This review provides a first-of-its-kind, full-spectrum analysis of postoperative rebleeding following MIS for ICH. Covering definition, mechanisms, risk factors, and prevention strategies, it not only offers a clear decision map for clinicians but also outlines a visionary blueprint for future technological integration.
Systematic Contributions:
1. Standardized Definitions：It recommends adopting objective, quantifiable imaging standards (aligning with AHA/ASA guidelines: >33% volume growth or >6 mL absolute increase within 24 hours) combined with clinical deterioration. This establishes a unified benchmark for clinical diagnosis and cross-study comparison.
2. Dual Pathogenic Mechanisms Unveiled
（1）Pathophysiological Basis: Surgical intervention disrupts the hematoma’s "self-tamponade" effect and may induce hyperfibrinolysis. Simultaneously, surgical trauma exacerbates the inherent activation of NLRP3 inflammasomes, the burst of reactive oxygen species (ROS), and the release of matrix metalloproteinases (such as MMP-9) following ICH, which collectively compromise the integrity of the vessel walls.
（2）Biophysical Mechanisms: The rapid aspiration of the hematoma leads to a sudden drop in intracranial pressure, triggering a "pressure gradient reversal" of the surrounding tissue toward the hematoma cavity. This, along with the "surge in shear stress" upon the recanalization of damaged vessels, creates abrupt changes in physical forces that directly contribute to the rupture of fragile blood vessels.
3. Comprehensive Risk Profiling：The review clearly categorizes risk factors into two primary dimensions:
（1）Surgery-Related Factors: These include specific surgical techniques—such as thrombolytic drug management in stereotactic aspiration with thrombolysis (SAT), visual "blind spots" in endoscopic surgery (ES), and the access channel size in minimally invasive parafascicular surgery (MIPS). Additionally, the timing of surgery (ultra-early vs. delayed) and the surgeon’s learning curve are identified as critical variables.
（2）Patient-Related Factors: Key risk indicators include uncontrolled hypertension, the use of anticoagulant or antiplatelet medications, the presence of deep-seated (e.g., basal ganglia) or large-volume hematomas, advanced age (>75 years), and multiple underlying comorbidities.
4. Stratified Prevention & Dynamic Treatment
It systematically delineates a prevention chain spanning
preoperative assessment (imaging and functional status),
intraoperative management (precise hemostasis and blood pressure control), and
postoperative monitoring (strict blood pressure reduction and coagulation correction). Furthermore, it details a
stepwise treatment strategy guided by hematoma stability, mass effect, and neurological status, progressing from
conservative care (intensive blood pressure lowering, coagulation reversal) to
surgical intervention (when necessary) and
early systematic rehabilitation.
5. Key Innovations and Forward-Looking Perspectives:
Transcending the scope of a traditional review, this article’s most groundbreaking contribution is the proposal of a visionary "
Intelligent Closed-Loop Management" model. This model aims to catalyze a
paradigm shift in postoperative rebleeding monitoring—moving from the current "lagging and passive" reliance on intermittent CT scans to a "
real-time, proactive, and intelligent" approach. The core system comprises three pillars:
（1）AI-Driven Dynamic Risk Prediction: By integrating multi-dimensional data—including clinical, imaging, and surgical parameters—this model utilizes machine learning to construct individualized dynamic risk profiles, achieving preoperative risk stratification and early postoperative warnings.
（2）Continuous Monitoring via In Vivo Biosensors: The review prospectively proposes the implantation of miniaturized, biodegradable physical (e.g., pressure, blood flow) and chemical (e.g., hemoglobin, pH) sensors into the hematoma cavity or drainage system. This enables wireless, continuous, and real-time monitoring of physiological and biochemical indicators related to rebleeding.
（3）Rapid Bedside Imaging Verification: Should an alert be triggered by the sensors or AI model, rapid imaging modalities, such as bedside Contrast-Enhanced Ultrasound (CEUS), are immediately deployed for validation.
This "
Predict-Monitor-Verify" closed-loop system is poised to enable ultra-early detection and intervention of rebleeding, fundamentally enhancing patient safety.
Future Prospects
（1）Academic Value: The comprehensive knowledge system constructed in this review establishes a solid theoretical foundation for the field of minimally invasive treatment for ICH. Its in-depth elucidation of the interactions between surgical maneuvers, neuroinflammation, and biomechanics offers stimulating new research topics for interdisciplinary fields such as cerebrovascular disease, biomedical engineering, and neural injury repair.
（2）Clinical and Industrial Translation Prospects: The evidence-based prevention and treatment strategies summarized in this paper can directly optimize current clinical pathways and improve the quality of medical care. Furthermore, the proposed "intelligent closed-loop monitoring" concept provides a clear direction for industrial translation. The development of relevant AI prediction software, implantable biosensors, and supporting bedside monitoring equipment will give rise to an entirely new sector:
Intelligent Postoperative Monitoring for MIS for ICH. This represents not only a significant innovation in ICH treatment but also a technical framework that can be extended to other neurosurgical areas requiring precision intracranial monitoring, offering vast market potential and application prospects.
The complete study is accessible via DOI:10.34133/research.1083