====== AW Server Analytical Software ======

**Vendor**:: GE Healthcare  
**Product Name**:: Advantage Workstation Server (AW Server)  
**Type**:: Medical Imaging Analysis Platform  
**Category**:: Radiology / Post-processing / Visualization  
**Access**:: Web-based (thin client)  
**Integration**:: PACS, RIS, EMR  

===== 🧩 Features =====
  * Advanced 2D/3D/4D image rendering
  * Remote access to full post-processing tools
  * Multi-modality support (CT, MRI, PET/CT, etc.)
  * Secure user login and session control
  * Plugin-based architecture for clinical apps
  * Centralized server; no need for local installs

===== 🩻 Supported Modalities =====
  - Computed Tomography (CT)
  - Magnetic Resonance Imaging (MRI)
  - Positron Emission Tomography (PET)
  - Ultrasound (select features)
  - Digital X-Ray (DR/CR)

===== 🔧 Clinical Applications =====
==== Neurology ====
  * Brain View, BrainStat, DTI Tractography
  * Perfusion CT/MR
  * Tumor volume quantification

==== Cardiology ====
  * CardIQ, Coronary analysis
  * Function assessment (ejection fraction, wall motion)

==== Oncology ====
  * PET/CT fusion
  * Oncology tracking tools

==== Other Apps ====
  * VesselIQ Xpress
  * Lung VCAR
  * Colon VCAR
  * Liver analysis tools

===== 🛠️ System Requirements =====
  * **Client:** HTML5-compatible browser, Citrix support (for older versions)
  * **Server:** GE-specific hardware or virtual appliance
  * **Network:** Secure intranet with DICOM integration

===== 🔐 Security =====
  * Role-based user authentication
  * HIPAA-compliant image handling
  * Encrypted transmission (HTTPS)

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[[Subarachnoid Hemorrhage Volume]], [[intraventricular hemorrhage volume]], [[intracerebral hemorrhage volume]], and total hemorrhage (TH) were computed from brain CT scans utilizing AW Server analytical software. ROC curves and multivariate analyses were employed to determine the association between hemorrhage volumes and SDAHC.
The study included 170 patients, of whom 111 (65.3%) were women, with a mean age of 58.5 years (SD: 14.6). Fifty-five patients (32.4%) presented SDAHC. [[intraventricular hemorrhage volume]]s had an area under the ROC curve of 0.757 (95% CI: 0.674-0.839; p <0.001). An IVH volume > 2.7 cm³ showed a sensitivity of 70.9% and a specificity of 77.2% for predicting SDAHC, while TH volumes > 29.5 cm³ demonstrated a sensitivity of 69.1% and a specificity of 61.4%. Multivariate analysis revealed that IVH volumes > 2.7 cm³ (OR 5.373; 95% CI: 2.477-11.657), TH volumes > 29.5 cm³ (OR 2.232; 95% CI: 1.008-4.942), and a bicaudate index ≥0.2 were significantly associated with SDAHC, adjusting for confounders.
In aSAH patients, semiautomatic measurement of hemorrhage volumes using specialized software is independently associated with SDAHC. This method could facilitate early prediction and timely intervention
((Bravo-Garrido G, Vargas-Lopez A, Fernández-Gómez M, Gomar-Alba M, Urreta-Juárez G, Martínez-Sánchez P. Cerebral Hemorrhage Volume Threshold and Shunt-Dependent [[Acute Hydrocephalus]] in [[Aneurysmal Subarachnoid Hemorrhage]]: A Semiautomated Measurement Study. J Neurol Surg A Cent Eur Neurosurg. 2025 Mar 28. doi: 10.1055/a-2568-4732. Epub ahead of print. PMID: 40154533.)).
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This is a well-conceived and clinically relevant study that contributes meaningfully to the literature on aSAH complications. While its methodological rigor is commendable, future studies should aim to validate and refine the thresholds in larger, multicentric cohorts, and integrate clinical, radiological, and biochemical markers into comprehensive SDAHC prediction tools.