February 10, 2025
1 min read
Key takeaways:
- Rapid SDH demonstrated 92.4% sensitivity and 98.7% specificity in identifying subdural hematoma types.
- Median processing time for the imaging technology was 45 seconds.
A novel imaging analysis technique registered a high degree of sensitivity and specificity in identifying both presence and type of subdural hematoma, or SDH, data from a comparative analysis show.
“Hemorrhage management has often been overshadowed by more common ischemic cases, but with recent advancements in hemorrhage treatment like MMA embolization, there is a greater interest in understanding how to improve detection of treatment-eligible patients,” Jeremy J. Father, MD, PhD, associate professor of radiology and neurosurgery at Stanford Medicine, told Healio.
According to new research, Rapid SDH imaging was able to identify subdural hematoma with a high degree of sensitivity and specificity. Image: Adobe Stock
The study was presented at the International Stroke Conference in Los Angeles.
As rapid and accurate diagnosis of SDHs is crucial for patient care, Heit and colleagues sought to examine accuracy of Rapid SDH software in determining the presence of acute and chronic SDH compared with industry-standard expert readers from non-enhanced head CT.
Jeremy father
They conducted a retrospective, multicenter study in which scans of 313 patients (mean age, 63 years; 60.3% male) were analyzed by Rapid SDH software and three independent neuroradiologists.
According to the results, of the 310 cases deemed suitable for analysis, 157 were positive for SDH (48 acute, 47 chronic, 44 mixed, 18 isodense) and 153 were negative for SDH per independent consensus of the neuroradiologists.
Rapid SDH software demonstrated a sensitivity of 92.4% (95% CI, 87.1-95.6) and a specificity of 98.7% (95% CI, 95.4-99.6) for SDH detection. Heit and colleagues additionally reported that sensitivity for detection of chronic SDH (91.5%; 95% CI, 80.1-.96.6) did not differ from either acute or subacute SDH (92.7%; 95% CI, 86.3-96.3), within a median processing time of 45 seconds.
“The study validates Rapid SDH’s potential impact on diagnosis and monitoring of subdural homorrhages, which is exciting for the field as many SDHs are extremely difficult to detect, particularly in busy environments like the ER,” Heit told Healio.
