Development of machine learning models for predicting unfavorable functional outcomes from preoperative data in patients with chronic subdural hematomas.

Chronic subdural hematoma (CSDH) often causes neurological deterioration and is treated with hematoma evacuation. This study aimed to assess the feasibility of various machine learning models to preoperatively predict the functional outcome of patients with CSDH. Data were retrospectively collected from patients who underwent CSDH surgery at two institutions: one for internal validation and the other for external validation. The poor functional outcome was defined as a modified Rankin scale score of 3-6 upon hospital discharge. The unfavorable outcome was predicted using four machine learning algorithms on an internal held-out cohort (n = 188): logistic regression, support vector machine (SVM), random forest, and light gradient boosting machine. The prediction performance of these models was also validated in an external cohort (n = 99). The area under the curve of the receiver operating characteristic curve (ROC-AUC) of each machine learning-based model was found to be high in both validations (internal: 0.906-0.925, external: 0.833-0.860). In external validation, the SVM model demonstrated the highest ROC-AUC of 0.860 and accuracy of 0.919. This study revealed the potential of machine learning algorithms in predicting unfavorable outcomes at discharge among patients with CSDH undergoing burr hole surgery.

Transvenous embolization via the facial vein for intraorbital dural arteriovenous fistula: illustrative case.

BACKGROUND: Intraorbital arteriovenous fistula (IOAVF) is a rare type of intracranial fistula that presents with ocular signs similar to those of cavernous sinus dural arteriovenous fistula. The treatment of IOAVF is based on the vascular architecture of each case due to its infrequent occurrence. The authors report the case of an IOAVF that was successfully treated with embolization via the facial vein, with good outcomes. OBSERVATIONS: A 78-year-old woman presented with left eyelid swelling, pulsatile ocular protrusion, and left ocular conjunctival hyperemia. Ophthalmological evaluation revealed elevated intraocular pressure; time-of-flight magnetic resonance angiography revealed a dilated left superior ophthalmic vein. Digital subtraction angiography showed an arteriovenous shunt in the left superior orbital fissure, which was treated using transvenous coil embolization. The patient experienced immediate improvement in left ocular protrusion and conjunctival hyperemia. Ophthalmological evaluation 1 month after treatment showed normal intraocular pressure in the left eye. No neurological symptoms were observed, and there was no recurrence of the arteriovenous shunt 3 months postoperatively. LESSONS: The authors report a rare case of IOAVF treated with embolization via the facial vein with a good outcome. A thorough understanding of the vascular architecture using three-dimensional images is useful for determining endovascular access and procedures.