We present a case of pontine infarction caused by subclavian steal phenomenon (SSP) due to subclavian artery stenosis (SAS) and an arteriovenous shunt in the forearm in a 74-year-old man with hemodialysis and stenting for SAS with improvement of SSP. He developed dysarthria during dialysis. He was admitted to our hospital and diagnosed with a pontine infarction. As the basilar artery appeared to be occluded on magnetic resonance angiography, an emergency diagnostic angiography was performed. Aortagram showed severe stenosis of the left subclavian artery. Right vertebral artery (VA) angiogram revealed retrograde arterial blood flow from the right VA to the left VA via the VA union, which suggested SSP. In addition, the steal was augmented by an ipsilateral hemodialysis arteriovenous shunt. Percutaneous subclavian artery stenting was performed 12 days later, and there was no recurrence of symptoms in the follow-up period. To our knowledge, this study is the first to report a patient with SSP who developed a pontine infarction due to SAS and an arteriovenous shunt during hemodialysis and who underwent subclavian artery stenting and had a good outcome.

Secondary trigeminal neuralgia after brainstem infarction is rare and rarely reported. A patient with secondary trigeminal neuralgia after brainstem infarction was admitted to the Department of Neurosurgery, Xiangya Hospital, Central South University. The patient was a 44 years old male who underwent motor cortex stimulation treatment after admission. The effect was satisfactory in the first week after surgery, but the effect was not satisfactory after one week. This disease is relatively rare and the choice of clinical treatment still requires long-term observation.
脑干梗死后继发性三叉神经痛较为罕见，报道甚少。中南大学湘雅医院神经外科收治1例脑干梗死后继发性三叉神经痛的患者。患者为44岁男性，入院后行运动皮层电刺激治疗，术后前1周治疗效果尚可，但1周后治疗效果不佳。该疾病较为罕见，其临床治疗方式的选择还需长期观察。.

Research has demonstrated that electroacupuncture (EA) stimulation of paralyzed muscles significantly improves nerve regeneration and functional recovery.
An 81-year-old man with no history of diabetes mellitus or hypertension presented with a history of brainstem infarction. Initially, the patient had medial rectus palsy in the left eye and diplopia to the right in both eyes, which almost returned to normal after six sessions of EA.
The CARE guidelines informed the case study report. The patient was diagnosed with oculomotor nerve palsy (ONP) and photographed to document ONP recovery after treatment. The selected acupuncture points and surgical methods are listed in the table.
Pharmacological treatment of oculomotor palsy is not ideal, and its long-term use has side effects. Although acupuncture is a promising treatment for ONP, existing treatments involve many acupuncture points and long cycles, resulting in poor patient compliance. We chose an innovative modality, electrical stimulation of paralyzed muscles, which may be an effective and safe complementary alternative therapy for ONP.

Research on the causes of sudden cardiac arrest (CA) after ischemic stroke, especially disruption of the autonomic nervous system\'s central control, has recently focused more on the widespread cortical and subcortical network than on autonomic circuits at the spinal and brainstem level. However, no clinical case of sudden CA requiring cardiopulmonary resuscitation (CPR) after brainstem infarction has been reported. We report a case of a 78-year-old woman who died suddenly from a brainstem infarction. Her husband heard a falling sound and found her unresponsive and lying with agonal breathing. The initial cardiac rhythm was pulseless electrical activity confirmed by emergency medical technicians. Recovery of spontaneous circulation was achieved after CPR. Basilar artery occlusion was shown on computed tomography, but no other findings that could have caused CA were found. Targeted temperature management was initiated, but she died on hospital day 22. Brainstem infarction may cause sudden CA; therefore, definitive treatment may achieve better outcomes.

Limb-shaking transient ischemic attack (LS-TIA) is a rare clinical manifestation of steno-occlusive carotid lesions. Reports of LS-TIA caused by posterior circulation ischemia are rare. Here, the case of a 56-year-old male patient with a history of epilepsy, who presented with dizziness, nausea and vomiting, is reported. Initial brain magnetic resonance imaging (MRI) indicated no signs of acute ischemia, and the patient\'s symptoms had not relieved despite drug administration to treat dizziness. During a vestibular function test on the next day, he developed sudden left-limb shaking without disturbance of consciousness or facial twitching. Considering a seizure, an anti-epileptic drug was administered, but no improvement was observed. Eight hours later, the patient experienced left-limb paralysis, and re-examination of the MRI indicated brainstem infarction. The patient recovered well with antiplatelet and antiatherosclerotic therapy. While LS-TIA is a rare manifestation of TIA of the carotid arterial system, posterior circulation ischemia may also manifest as LS-TIA. If a patient presents with limb shaking due to postural changes despite a history of epilepsy, LS-TIA should be highly suspected.

OBJECTIVE: Magnetic resonance imaging has high sensitivity in detecting early brainstem infarction (EBI). However, MRI is not practical for all patients who present with possible stroke and would lead to delayed treatment. The detection rate of EBI on non-contrast computed tomography (NCCT) is currently very low. Thus, we aimed to develop and validate the radiomics feature-based machine learning models to detect EBI (RMEBIs) on NCCT.
METHODS: In this retrospective observational study, 355 participants from a multicentre multimodal database established by Huashan Hospital were randomly divided into two data sets: a training cohort (70%) and an internal validation cohort (30%). Fifty-seven participants from the Second Affiliated Hospital of Xuzhou Medical University were included as the external validation cohort. Brainstems were segmented by a radiologist committee on NCCT and 1781 radiomics features were automatically computed. After selecting the relevant features, 7 machine learning models were assessed in the training cohort to predict early brainstem infarction. Accuracy, sensitivity, specificity, positive predictive value, negative predictive value, F1-score, and the area under the receiver operating characteristic curve (AUC) were used to evaluate the performance of the prediction models.
RESULTS: The multilayer perceptron (MLP) RMEBI showed the best performance (AUC: 0.99 [95% CI: 0.96-1.00]) in the internal validation cohort. The AUC value in external validation cohort was 0.91 (95% CI: 0.82-0.98).
CONCLUSIONS: RMEBIs have the potential in routine clinical practice to enable accurate computer-assisted diagnoses of early brainstem infarction in patients with NCCT, which may have important clinical value in reducing therapeutic decision-making time.
CONCLUSIONS: • RMEBIs have the potential to enable accurate diagnoses of early brainstem infarction in patients with NCCT. • RMEBIs are suitable for various multidetector CT scanners. • The patient treatment decision-making time is shortened.

UNASSIGNED: Cases of pain mimicking trigeminal neuralgia (TN) induced by ischemic stroke in the brainstem have been sparsely reported. The study was to determine the characteristics of symptomatic TN in patients with acute ischemic stroke in the medulla oblongata and pons, and to determine the location of the ischemic lesion associated with the pain.
UNASSIGNED: A total of 6/21 (28.5%) patients with medullary ischemic stroke and 3/34 (8.8%) patients with pontine ischemic stroke who experienced pain mimicking TN between 1 week before and 2 weeks after the stroke onset were enrolled in the study. All patients accepted neuroimaging examinations to determine the location of the ischemic lesion and the etiology of ischemic stroke. The characteristics of pain were recorded and analyzed.
UNASSIGNED: Ischemic lesions of patients who experienced pain mimicking TN were located in the lateral medulla oblongata (n=6), nerve root entry zoo (n=2), and areas involved with the spinal trigeminal tract (n=1) in the pons. Half of the instances of pain induced by medullary ischemic stroke occurred prior to the stroke onset. The branch of V1 was exclusively involved in patients with lateral medullary infarction and the branches of V2 and V3 were typically involved in patients with pontine infarction. The pain was relieved spontaneously (n=4, 44.4%) or was controlled with drugs for neuropathic pain treatment (n=5, 55.5%).
UNASSIGNED: Half of the instances of pain induced by medullary ischemic stroke occurred prior to the stroke onset. Pain mimicking TN might be a premonitory symptom of the medullary ischemic stroke. Pain mimicking TN induced by brainstem infarction has a good prognosis.

Background and Purpose: Patients with basilar artery (BA) dolichosis are at high risk of acute pontine infarction (API), but the association between BA dolichosis and long-term stroke recurrence has received little attention. We aimed to identify the effect of BA dolichosis on the risk of long-term brainstem infarction recurrence in patients with API. Methods: In this prospective cohort study, we enrolled 113 patients with API admitted to our department. BA dolichosis was diagnosed by a BA curve length >29.5 mm or bending length (BL) >10 mm on magnetic resonance angiography. The primary outcome was the occurrence of diffusion-weighted imaging (DWI)-confirmed brainstem infarction. The Cox proportional hazard model was used to detect possible predictors of brainstem infarction recurrence. Results: Among 113 patients with API, 39 (34.5%) patients had BA dolichosis, and DWI-confirmed brainstem infarction recurred in 15 (13.3%) patients with a mean follow-up time of 31.2 months; the estimated 5-year incidence of brainstem infarction recurrence was 23.1% in patients with BA dolichosis, which was significantly higher than the incidence of 8.1% in patients without BA dolichosis. Cox proportional hazard analysis showed that age ≥65 years (hazard ratio (HR) = 3.341, 95% confidence interval (CI): 1.079-10.348, P = 0.036) and BA dolichosis (HR = 3.048, 95% CI: 1.069-8.693, P = 0.037) were significantly associated with a higher risk of brainstem infarction recurrence. In a subgroup analysis stratified by age, the patients aged ≥65 years with BA dolichosis had a higher risk of brainstem infarction recurrence (HR = 7.319, 95% CI: 1.525-35.123, P = 0.013). Conclusions: This study indicates that BA dolichosis may increase the risk of long-term brainstem infarction recurrence in patients with API, especially in elderly patients, and therefore warrants more attention in clinical practice.

OBJECTIVE: Acute brainstem infarctions can lead to serious functional impairments. We aimed to predict functional outcomes in patients with acute brainstem infarction using deep neuroimaging features extracted by convolutional neural networks (CNNs).
METHODS: This nationwide multicenter stroke registry study included 1482 patients with acute brainstem infarction. We applied CNNs to automatically extract deep neuroimaging features from diffusion-weighted imaging. Deep learning models based on clinical features, laboratory features, conventional imaging features (infarct volume, number of infarctions), and deep neuroimaging features were trained to predict functional outcomes at 3 months poststroke. Unfavorable outcome was defined as modified Rankin Scale score of 3 or higher at 3 months. The models were evaluated by comparing the area under the receiver operating characteristic curve (AUC).
RESULTS: A model based solely on 14 deep neuroimaging features from CNNs achieved an extremely high AUC of 0.975 (95% confidence interval [CI] = 0.934-0.997) and significantly outperformed the model combining clinical, laboratory, and conventional imaging features (0.772, 95% CI = 0.691-0.847, p < 0.001) in prediction of functional outcomes. The deep neuroimaging model also demonstrated significant improvement over traditional prognostic scores. In an interpretability analysis, the deep neuroimaging features displayed a significant correlation with age, National Institutes of Health Stroke Scale score, infarct volume, and inflammation factors.
CONCLUSIONS: Deep learning models can successfully extract objective neuroimaging features from the routine radiological data in an automatic manner and aid in predicting the functional outcomes in patients with brainstem infarction at 3 months with very high accuracy.

We herein report a 46-year-old man presenting with locked-in syndrome secondary to meningovascular syphilis. Brain magnetic resonance imaging (MRI) demonstrated multiple acute infarctions in the left ventromedial pons, right basis pontis, and left basal ganglia. His locked-in syndrome was hypothesized to have been caused by thrombosis of the small paramedian branches of the basilar artery due to syphilitic arteritis. This is a unique case of bilateral ventromedial pontine infarction caused by meningovascular syphilis that presented as locked-in syndrome. Meningovascular syphilis should be included in the differential diagnosis of uncommon stroke, particularly in young men.