The dataset on the characteristics of the intracerebral hemorrhage patients treated by endoscopic hematoma removal or craniotomy

Impact of Endoscopic Surgery Versus Robot CAS-R-2 Assisted with Stereotactic Drainage on Prognosis of Basal Ganglia Hypertensive Intracerebral Hemorrhage

OBJECTIVE

To evaluate the impact of endoscopic surgery (ES) versus robot CAS-R-2 assisted with stereotactic drainage on prognosis of basal ganglia hypertensive intracerebral hemorrhage (HICH).

METHODS

This retrospective observational study included patients who underwent ES or robot CAS-R-2 assisted with stereotactic drainage for basal ganglia HICH in Shanghai Sixth People's Hospital between June 2017 and May 2022. The outcomes were 6-month mortality and modified Rankin Scale (mRS) score.

RESULTS

A total of 94 patients were included; 68 (age 51.26 ± 9.18 years, 17 women) of them underwent ES, while the other 26 (age 56.50 ± 12.91, 11 women) underwent robot CAS-R-2. The 6-month mortality rates were similar (P > 0.05) between the patients who underwent ES (6 of 68, 8.82%) and robot CAS-R-2 (2 of 26,7.69%), while the rate of good prognosis in the ES group was significantly higher compared with that in the robot CAS-R-2 group (P = 0.024). Univariate logistic analysis found that endoscopic surgery, age, and hematoma volume were associated with poor prognosis at 6 months. Multivariate logistic regression analysis showed that, after adjusted for the preoperative hematoma volume and age, endoscopy surgery (relative risk 0.21, 95% CI 0.06-0.68, P = 0.009) was associated with good prognosis at 6 months follow-up.

CONCLUSIONS

Compared with robot CAS-R-2 assisted with stereotactic drainage, ES might have higher rate of good prognosis at 6-month follow-up for basal ganglia HICH.

Postsurgical functional outcome prediction model using deep learning framework (Prediction One, Sony Network Communications Inc.) for hypertensive intracerebral hemorrhage

BACKGROUND

Reliable prediction models of intracerebral hemorrhage (ICH) outcomes are needed for decision-making of the treatment. Statistically making such prediction models needs a large number of samples and time-consuming statistical analysis. Deep learning (DL), one of the artificial intelligence, is attractive, but there were no reports on DL-based functional outcome prediction models for ICH outcomes after surgery. We herein made a functional outcome prediction model using DLframework, Prediction One (Sony Network Communications Inc., Tokyo, Japan), and compared it to original ICH score, ICH Grading Scale, and FUNC score.

METHODS

We used 140 consecutive hypertensive ICH patients' data in our hospital between 2012 and 2019. All patients were surgically treated. Modified Rankin Scale 0-3 at 6 months was defined as a favorable outcome. We randomly divided them into 100 patients training dataset and 40 patients validation dataset. Prediction One made the prediction model using the training dataset with 5-fold cross-validation. We calculated area under the curves (AUCs) regarding the outcome using the DL-based model, ICH score, ICH Grading Scale, and FUNC score. The AUCs were compared.

RESULTS

The model made by Prediction One using 64 variables had AUC of 0.997 in the training dataset and that of 0.884 in the validation dataset. These AUCs were superior to those derived from ICH score, ICH Grading Scale, and FUNC score.

CONCLUSION

We easily and quickly made prediction models using Prediction One, even with a small single-center dataset. The accuracy of the DL-based model was superior to those of previous statistically calculated models.

Where to make burr hole for endoscopic hematoma removal against intracerebral hemorrhage at the basal ganglia to increase the hematoma removal rate - Comparison between trans-forehead and along-the-long-axis approaches

Background:

Endoscopic hematoma removal is performed to treat intracerebral hemorrhage (ICH) at the basal ganglia. In our hospital, young neurosurgical trainees perform it for the only 1^st to the 3^rd time. We perform a “trans-forehead approach” and hypothesized that our technique would contribute to higher hematoma removal rate and easiness despite their inexperience. We compared our dataset with an open dataset with along-the-long-axis approaches using pre- and intraoperative neuronavigation by well-trained neurosurgeons and tested the utility of our trans-forehead approach.

Methods:

We retrospectively investigated our 17 consecutive patients with hypertensive ICH who underwent endoscopic hematoma removal using the trans-forehead approach. We obtained the open dataset and compared our data with the 12 patients from the open dataset using the inverse probability weighting method. Operative time, hematoma removal rate, postoperative hematoma volume, Glasgow Coma Scale (GCS) on day 7, and modified Rankin Scale (mRS) at 6 months were assessed as outcomes.

Results:

The median age was 68 (interquartile range; 58–78) years. Median postoperative hematoma volume, removal rate, operative time, GCS on day 7, and mRS at 6 months were 9 (2–24) mL, 90 (79–98)%, 53 (41–80) min, 13 (12–13), and 4 (2–5), respectively. The weighted generalized estimating equations revealed that operative time was shorter in the along-the-long-axis group, but other items were not significantly different between the two approaches.

Conclusion:

The hematoma removal rate of endoscopic hematoma removal with the trans-forehead approach by young trainees was not different from that of the along-the-long-axis approach by well-trained neurosurgeons using neuronavigation.