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2.
J Stroke Cerebrovasc Dis ; 30(3): 105555, 2021 Mar.
Article in English | MEDLINE | ID: mdl-33360510

ABSTRACT

BACKGROUND: The oculomotor nerve has two major fibers: the outer autonomic fiber innervates the ciliary muscles and sphincter pupillae involved in pupil constriction, and the inner somatic fiber innervates the levator palpebrae superioris in the eyelid and four extraocular muscles involved in oculomotor dysfunction. We present a rare case of oculomotor nerve palsy with internal carotid artery (ICA) dissection and discuss the vascular anatomical feature of interest to be considered during treatment. CASE REPORT: A 56-year-old man presented with language impairment, right visual field loss, and right-sided facial sensory loss, weakness, and hypesthesia 30 hours after the last seen normal. CT perfusion imaging revealed a large left middle cerebral artery distribution and possible salvageable ischemic penumbra. Angiography showed occlusion of the communicating segment of the left ICA. We performed mechanical thrombectomy for left ICA occlusion that led to partial recanalization after several attempts. A control digital subtraction angiography showed dissection features in the communicating part of the left ICA. The recanalized ICA got blocked again within ten minutes. Angioplasty was performed and the flow improved. Five hours after thrombectomy, the patient developed complete left oculomotor palsy with ptosis, a fixed mydriatic pupil, and lateral and downwards eyeball deviation suggesting oculomotor nerve palsy. MRI on the 23rd day after symptom onset revealed enhancement of the left oculomotor nerve. CONCLUSIONS: The clinical and imaging course described in this case shows an injury to the oculomotor nerve with compressive plus ischemic injury in a patient with ICA dissection who received endovascular treatment.


Subject(s)
Angioplasty, Balloon/adverse effects , Brain Ischemia/therapy , Carotid Artery, Internal, Dissection/therapy , Oculomotor Nerve Diseases/etiology , Thrombectomy/adverse effects , Brain Ischemia/diagnostic imaging , Carotid Artery, Internal, Dissection/diagnostic imaging , Humans , Male , Middle Aged , Oculomotor Nerve Diseases/diagnosis , Treatment Outcome
3.
Clin Case Rep ; 8(12): 2852-2856, 2020 Dec.
Article in English | MEDLINE | ID: mdl-33363836

ABSTRACT

Plasma cell infiltration may be an early lesion during renal invasion by ANCA-associated vasculitis (AAV), and AAV should be considered in the differential diagnosis with acute renal failure and systemic symptoms.

4.
J Digit Imaging ; 32(3): 450-461, 2019 06.
Article in English | MEDLINE | ID: mdl-30680471

ABSTRACT

Highly accurate detection of the intracranial hemorrhage without delay is a critical clinical issue for the diagnostic decision and treatment in an emergency room. In the context of a study on diagnostic accuracy, there is a tradeoff between sensitivity and specificity. In order to improve sensitivity while preserving specificity, we propose a cascade deep learning model constructed using two convolutional neural networks (CNNs) and dual fully convolutional networks (FCNs). The cascade CNN model is built for identifying bleeding; hereafter the dual FCN is to detect five different subtypes of intracranial hemorrhage and to delineate their lesions. Using a total of 135,974 CT images including 33,391 images labeled as bleeding, each of CNN/FCN models was trained separately on image data preprocessed by two different settings of window level/width. One is a default window (50/100[level/width]) and the other is a stroke window setting (40/40). By combining them, we obtained a better outcome on both binary classification and segmentation of hemorrhagic lesions compared to a single CNN and FCN model. In determining whether it is bleeding or not, there was around 1% improvement in sensitivity (97.91% [± 0.47]) while retaining specificity (98.76% [± 0.10]). For delineation of bleeding lesions, we obtained overall segmentation performance at 80.19% in precision and 82.15% in recall which is 3.44% improvement compared to using a single FCN model.


Subject(s)
Deep Learning , Intracranial Hemorrhages/diagnostic imaging , Neural Networks, Computer , Radiographic Image Interpretation, Computer-Assisted/methods , Tomography, X-Ray Computed , Humans , Sensitivity and Specificity
5.
Ann Indian Acad Neurol ; 21(3): 220-222, 2018.
Article in English | MEDLINE | ID: mdl-30258266

ABSTRACT

Thunderclap headaches, stroke, seizures, and cortical subarachnoid hemorrhage can all reveal reversible cerebral vasoconstriction syndrome (RCVS). Most parenchymal brain lesions occur simultaneously and sequentially with cerebral vasoconstriction in RCVS patients. Therefore, it is not easy to suspect RCVS in patients with only parenchymal brain lesions without vasoconstriction even if they present with a typical thunderclap headache. Furthermore, RCVS should be differentiated from central nervous system vasculitis. However, it is especially difficult to distinguish RCVS from the cerebral involvement of multisystem vasculitis when there is a positive result in the serologic test for autoantibodies. We report a case of RCVS with hidden breast cancer in which ischemic stroke and cortical subarachnoid hemorrhage were observed earlier than vasoconstriction, and there were positive autoantibodies.

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