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1.
Medicine (Baltimore) ; 102(45): e35967, 2023 Nov 10.
Artigo em Inglês | MEDLINE | ID: mdl-37960800

RESUMO

INTRODUCTION AND PATIENT CONCERNS: We report on a 45-year-old woman who has a ventriculoperitoneal shunt (VPS), experienced drowsy mental status, with hypesthesia and hemiplegia on the left side. Ten days ago she underwent laparoscopic cholecystectomy (LC). Computed tomography revealed tension pneumocephalus, with severe compression on the right side of the brain. INTERVENTIONS AND DIAGNOSIS: She underwent 2 surgeries, the first surgery was to place a subdural drainage catheter, however, the pneumocephalus relapsed after withdrawing the catheter, and the later surgery was to replace the new VPS. OUTCOMES: After replacing the VPS, the patient recovers completely after 10 weeks of follow-up. CONCLUSION: To our knowledge, this is the first report of LC-induced tension pneumocephalus in a patient with VPS. The purpose of this study is to share our experience, with the hypothesized mechanism being the retrograde air through the VPS valve because of high abdominal pressurization. We recommend noting the existence of the VPS when the LC or any abdominal laparoscopy is performed. The VPS should be clamped during any laparoscopic procedure until complete depressurization. Furthermore, all patients with VPS who have neurological deterioration after abdominal laparoscopy should be treated as having the diagnosis of a tension pneumocephalus. These patients need emergency surgery to replace VPS and set the valve for high-pressure, which can result in a quick and complete recovery.


Assuntos
Colecistectomia Laparoscópica , Hidrocefalia , Laparoscopia , Pneumocefalia , Feminino , Humanos , Pessoa de Meia-Idade , Colecistectomia Laparoscópica/efeitos adversos , Cabeça/cirurgia , Hidrocefalia/cirurgia , Laparoscopia/métodos , Pneumocefalia/diagnóstico por imagem , Pneumocefalia/etiologia , Derivação Ventriculoperitoneal
2.
Medicine (Baltimore) ; 102(14): e33492, 2023 Apr 07.
Artigo em Inglês | MEDLINE | ID: mdl-37026917

RESUMO

RATIONALE AND PATIENT CONCERNS: We report on a 67-year-old woman who experienced drowsy mental status, facial numbness, and hearing loss on the right side; the symptom gradually worsened over the last 4 years. Brain magnetic resonance imaging revealed a 4.8 × 1.8 × 2.6 cm lesion located in the right cerebellopontine angle. INTERVENTIONS: She underwent surgery with the retrosigmoid suboccipital approach and support from the digital robotic exoscope Synaptive Modus V system. To the best of our knowledge, this is the first reported case that used the robotic exoscope system in Vietnam, and also in Asia. DIAGNOSIS: We performed radical resection of the tumor, the surgery position and the pathology result concluded the diagnosis was trigeminal schwannoma. OUTCOMES: After 30 months of follow-up, she fully recovered and the magnetic resonance imaging showed radical resection of the tumor. LESSONS: The aim of this study is to share our experience with the robotic exoscope system, which can improve optical field and image resolution, hence creating an opportunity for surgery that otherwise is impossible. The application of this robotic exoscope system is a breakthrough in neurosurgery in developing countries, such as Vietnam.


Assuntos
Neoplasias dos Nervos Cranianos , Neurilemoma , Procedimentos Cirúrgicos Robóticos , Feminino , Humanos , Idoso , Ângulo Cerebelopontino/cirurgia , Ângulo Cerebelopontino/patologia , Neurilemoma/diagnóstico por imagem , Neurilemoma/cirurgia , Neurilemoma/patologia , Neoplasias dos Nervos Cranianos/patologia , Procedimentos Neurocirúrgicos/métodos
3.
IEEE/ACM Trans Comput Biol Bioinform ; 19(2): 1235-1244, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-32750894

RESUMO

Living organisms receive necessary energy substances directly from cellular respiration. The completion of electron storage and transportation requires the process of cellular respiration with the aid of electron transport chains. Therefore, the work of deciphering electron transport proteins is inevitably needed. The identification of these proteins with high performance has a prompt dependence on the choice of methods for feature extraction and machine learning algorithm. In this study, protein sequences served as natural language sentences comprising words. The nominated word embedding-based feature sets, hinged on the word embedding modulation and protein motif frequencies, were useful for feature choosing. Five word embedding types and a variety of conjoint features were examined for such feature selection. The support vector machine algorithm consequentially was employed to perform classification. The performance statistics within the 5-fold cross-validation including average accuracy, specificity, sensitivity, as well as MCC rates surpass 0.95. Such metrics in the independent test are 96.82, 97.16, 95.76 percent, and 0.9, respectively. Compared to state-of-the-art predictors, the proposed method can generate more preferable performance above all metrics indicating the effectiveness of the proposed method in determining electron transport proteins. Furthermore, this study reveals insights about the applicability of various word embeddings for understanding surveyed sequences.


Assuntos
Proteínas de Transporte , Biologia Computacional , Biologia Computacional/métodos , Transporte de Elétrons , Elétrons , Máquina de Vetores de Suporte
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