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Artigo em Inglês | MEDLINE | ID: mdl-33403738


AIM: To investigate the safety and feasibility of taking low-concentration carbohydrate solution at 2 h before induction of anesthesia for gestational diabetes mellitus (GDM) patients. METHODS: GDM patients undergoing cesarean section were randomly assigned to experimental group (n = 43) and control group (n = 42). Two hours before induction of anesthesia, participants in experimental group orally received 300 mL low-concentration carbohydrate solution, while those in control group received equivalent warm water. Blood glucose and serum insulin were measured at 2 h before induction of anesthesia, right before induction of anesthesia, and the morning of postoperative day 1. Neonatal blood glucose level was monitored at birth. Maternal gastrointestinal function and well-being were assessed perioperatively. RESULTS: The levels of blood glucose and serum insulin right before induction of anesthesia in the experimental group were significantly higher than those in the control group. There were four cases with hypoglycemia in the experimental group and 19 cases in the control group right before induction of anesthesia (9.3% vs 45.2%, p < 0.001). The incidence of neonatal hypoglycemia was 2.3% in the experimental group and 7.1% in the control group with no significance. Hunger score of the participants between the two groups right before induction of anesthesia was significantly different. No aspiration, nausea, and vomiting occurred in both groups before, during, and after surgery. No significant difference was found in the time to the first flatus and abdominal distension between the two groups. CONCLUSION: Taking low-concentration carbohydrate solution is safe and feasible for patients with GDM undergoing elective cesarean section.

J Thorac Dis ; 12(4): 1488-1495, 2020 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-32395286


Background: The accuracy of intraoperative pathological diagnosis of small-sized pulmonary nodules including ground-glass opacity (GGO) is important for the surgeon to choose a suitable surgical procedure. Diagnosis of the small-sized lesions of the lung by frozen section (FS) is very difficult for the pathologist because of limited FS technology. Here we tested an effective inflation treatment for FS to improve the diagnostic accuracy of small-sized lung lesions. Methods: The lung specimens were derived from 113 patients who underwent the surgery at Shanghai Chest Hospital in 2018-2019. The specimens were randomly divided into two groups-uninflated or inflated with diluted embedding medium (Tissue-Tek OCT; Sakura Finetek-USA, CA). The qualities of the FSs were compared with that of corresponding permanent paraffin sections. The FS diagnoses were compared with the final pathologic diagnoses of corresponding permanent sections. Results: Our results showed that the quality of FS of lung tissue was excellent after inflation with diluted embedding medium (1:1). The total consistency between diagnosis of inflated FS and final pathological diagnosis was 85.7%. In control group, however, the consistency was only 70.2%. When the lesions were less than 1cm, the consistency between diagnosis of inflated FS and final pathological diagnosis was 90.3%, compared to 64.9% consistency in uninflated group (P=0.014, <0.05). When the lesions' computed tomography (CT) measurement threshold ≤-350 HU, the consistency between diagnosis of inflated FS and final pathological diagnosis was 88% compared to 73.2% consistency in uninflated group (P=0.071, >0.05). Accuracy, sensitivity and specificity were observed about 90% for adenocarcinoma in situ (AIS), whereas it is drop to more than 80% for minimally invasive adenocarcinoma (MIA) in inflated FS. Conclusions: Inflation with diluted embedding medium (1:1) could make lung tissue expand well during FS. By using this method, small-sized lesions (especially less than 1 cm) could be correctly diagnosed to enable adequate surgical procedure, and evaluation of which can be easily based on the intraoperative pathological diagnosis. The small lesions especially AIS could be readily identified on FS. Therefore, this method improves the diagnostic accuracy of FSs for small-sized lung lesions, and has important practical consequences for further therapy.

Atherosclerosis ; 249: 10-6, 2016 06.
Artigo em Inglês | MEDLINE | ID: mdl-27062404


BACKGROUND AND AIMS: Recent development of high resolution MRI techniques have enabled imaging of intracranial atherosclerotic plaque in vivo. However, identifying plaque composition remains challenging given the small size and the lack of histological validation. This study aims to quantify the relaxation times of intracranial plaque components ex vivo at 3 T and to determine whether multi-contrast MRI could classify intracranial plaque according to the American Heart Association classification with histological validation. METHODS: A total of 53 intracranial arteries with atherosclerotic plaques from 20 cadavers (11 male, age 73.8 ± 10.9) were excised. Quantitative T1/T2/T2* mapping sequences and multi-contrast fast-spin echo sequences (T1, T2, proton-density weighted and short time inversion recovery) were acquired. Plaque components including: fibrous cap, lipid core, fibrous tissue, calcification, and healthy wall were segmented on histology, and their relaxation times were derived from quantitative images. Two radiologists independently classified plaque type blinded to the histology results. RESULTS: Relaxation times of plaque components are distinct and different. T2 and T2* values of lipid core are lower than fibrous cap (p = 0.026 & p < 0.0001), but are comparable with fibrous tissue and healthy wall (p = 0.76 & p = 0.42). MRI reliably classified plaque type compared with histology (κ = 0.69) with an overall accuracy of 80.7%. The sensitivity and specificity using MRI to identify fibro-lipid atheroma (type IV-V) was 94.8% and 77.1%, respectively. Inter-observer agreement was excellent (κ = 0.77). CONCLUSION: Intracranial plaque components have distinct and different relaxation times at 3 T. High-resolution MRI is able to characterize intracranial plaque composition and classify plaque types ex vivo at 3 T.

Imagem por Ressonância Magnética , Placa Aterosclerótica/diagnóstico por imagem , Idoso , Aterosclerose/diagnóstico por imagem , Aterosclerose/patologia , Artéria Basilar/patologia , Cadáver , Doenças das Artérias Carótidas/patologia , Artérias Cerebrais/patologia , Feminino , Humanos , Processamento de Imagem Assistida por Computador , Masculino , Pessoa de Meia-Idade , Artéria Cerebral Média/patologia , Variações Dependentes do Observador , Placa Aterosclerótica/classificação , Acidente Vascular Cerebral/diagnóstico por imagem , Acidente Vascular Cerebral/patologia