Gut micobiota alteration by Lactobacillus rhamnosus reduces pro-inflammatory cytokines and glucose level in the adult model of Zebrafish.

OBJECTIVE: Type 2 diabetes mellitus (T2DM) is still a challenge for physicians to manage patient's circumstances. It is assumed that alterations in the normal flora may be involved in the pathogenesis of T2DM through inducing chronic inflammation. To investigate the effect of Lactobacillus rhamnosus as a common probiotic on T2DM, we induced an experimental model of T2DM in adult male Zebrafish by gradient hyper-glucose accumulation methodology. RESULTS: In this trial 3-month old male adult Zebrafish were divided in to four groups including two control groups and T2DM induced groups with or without probiotic treatment. After 5 days of acclimation, T2DM was induced by a gradient hyper-glucose accumulation methodology. Diabetic fishes had statistically abnormal blood glucose and pro-inflammatory cytokine levels compared to control group (p = 0.0001). These results suggest that probiotic intervention decreased the blood glucose level in the T2DM-P group by decreasing pro-inflammatory cytokines responsible for signaling in T2DM therapeutic modalities.

Prediction value of preoperative findings on meningioma grading using artificial neural network.

OBJECTIVES: Meningioma is the most common brain tumor in adults. Grade 1 meningiomas have excellent prognoses, but grades 2 and 3 usually have worse outcomes, higher recurrence rates, and higher mortality rates. Preoperative determination of tumor grade may be helpful in deciding the type of surgery and the rate of resection. Blood markers have been used to predict the rate of malignancy and prognosis of tumors in different regions, including the brain. The current study investigated the use of blood markers on predicting meningioma grade. PATIENTS AND METHODS: Patients with newly diagnosed meningiomas were retrospectively reviewed. Data on the patients' demographics, tumor locations, blood markers, and tumor pathology grades was extracted. The relationship between preoperative findings and tumor grade was statistically analyzed, and using the same findings and an artificial neural network, the accuracy of tumor grade prediction was evaluated. RESULTS: This study included 95 patients, 69 cases (72.4 %) of grade 1, 23 cases of grade 2 (24.4 %) and 3 cases of grade 3 (3.2 %) meningiomas. Monocyte and neutrophil counts as well as lymphocyte-to-monocyte ratio (LMR) were significantly different between low grade and high grade meningiomas, with higher monocyte and neutrophil counts and higher LMR associated with high grade meningiomas (p < 0.05). Evaluation of the data with an artificial neural network using RBF with 5 variables (age, monocyte count, LMR, platelet-to-lymphocyte ratio (PLR), and neutrophil count) indicated that tumor grade can be determined with 83 % accuracy using an artificial neural network. CONCLUSION: A preoperative high monocyte count and high LMR are associated with high grade meningioma. An artificial neural network using preoperative data can acceptably be used to characterize meningioma tumor grades.

Surgical Treatment of Unicoronal Synostosis: A Simplified Technique without Orbital Osteotomy.

BACKGROUND: Although referrals for nonsyndromic frontal plagiocephaly have been increased during the past several years, successful surgical repair of unicoronal synostosis (UCS) remains a challenge for craniofacial surgeons. Most surgical techniques followed to correct supraorbital rim elevation and temporal constrictions are being noticed less and often require a secondary revision. But this new technique consists of correcting the affected ipsilateral frontal, temporal, and superior orbital rim areas in the first operation. METHODS: From 1995 to 2016, a total of 154 cases of UCS were operated by first author. A total of 91 patients were operated with standard technique, whereas the new technique was applied on 63. Whitaker scoring system was used for evaluation of patients after surgery. RESULTS: Data analysis shows a significant difference between 2 operation techniques results (P = 0.007). None of the patients from the new technique group required revision surgery. CONLUSIONS: We believe that our new technique have less invasive osteotomy on the frontal bone and no manipulation of the orbital bone, so provide sufficient bone graft and is applicable even for younger patients (<6 months).

Endonasal endoscopic management of frontal sinus cerebrospinal fluid leak.

BACKGROUND: A frontal sinus leak is uncommon and is seen in ∼15% of cases of patients with cerebrospinal fluid (CSF) rhinorrhea. Now, endonasal endoscopic techniques have been reported to reconstruct skull base defects in the frontal sinus with a favorable outcome. OBJECTIVE: To review our experience in the repair of frontal sinus CSF leaks through an endonasal endoscopic approach. METHODS: Twenty-four patients with a frontal sinus leak who underwent endonasal endoscopic repair entered the study. Clinical presentation, location, frontal sinusotomy, graft material, follow-up, and frontal sinus status were evaluated. RESULTS: Among >100 cases of surgically repaired CSF rhinorrhea, the frontal sinus was the site of the leak in 24 patients (mean age, 28.9 years; mean follow-up, 22 months). The etiology consisted of spontaneous leak and traumatic leak; whereas patients with skull base reconstruction after removal of tumor were excluded. Surgical approaches included Draf IIb, Draf III, Draf IIa in 20, 3, and 1 patients, respectively. Free autografts as two-layer inlay fat-muscle and onlay fascia lata were used in the majority of patients. A success rate was achieved in 95.83% of the patients. CONCLUSION: Endonasal endoscopic repair of a frontal sinus leak was a successful procedure, with a low failure rate and minimal morbidity.

An outcome measure of functionality and pain in patients with low back disorder: A validation study of the Iranian version of Core Outcome Measures Index.

BACKGROUND: Lumbar Disc Herniation (LDH) and Lumbar Spinal Stenosis (LSS) are the most common diagnoses of low back and leg pain symptoms. This study aimed to cross-culturally translate, and validate the Core Outcome Measures Index (COMI) in Iran. METHODS: The translation and cross-cultural adaptation of the original questionnaire were performed in accordance with published guidelines. A total of 121 patients with LDH or LSS were asked to respond to the questionnaire at two points in time: Pre and postoperative assessments (6 months follow-up). The Oswestry Disability Index (ODI) also was completed. To test the reliability, the internal consistency was assessed by Cronbach's alpha coefficient, and validity was assessed using convergent validity. Responsiveness to change also was assessed for comparing patients' pre and postoperative scores. RESULTS: The Cronbach's alpha coefficients for the COMI at pre and postoperative assessments ranged from 0.79 to 0.82, indicating a good internal consistency. The change in the ODI after surgery was strongly correlated with change in the COMI, lending support to its good convergent validity (r = 0.79 for LDH and r = 0.77 for LSS; P < 0.001). In addition, the correlation of each item with its hypothesized subscale of the COMI showed satisfactory results suggesting, that the items had a substantial association with the subscale, representing the concept. Further analysis also indicated that the questionnaire was responsive to change (P < 0.0001). CONCLUSION: The Iranian version of COMI performed well, and the findings suggest that it is a reliable and valid measure of back pain treatment evaluation among LDH and lumbar canal stenosis patients.

Artificial neural networks in neurosurgery.

Artificial neural networks (ANNs) effectively analyze non-linear data sets. The aimed was A review of the relevant published articles that focused on the application of ANNs as a tool for assisting clinical decision-making in neurosurgery. A literature review of all full publications in English biomedical journals (1993-2013) was undertaken. The strategy included a combination of key words 'artificial neural networks', 'prognostic', 'brain', 'tumor tracking', 'head', 'tumor', 'spine', 'classification' and 'back pain' in the title and abstract of the manuscripts using the PubMed search engine. The major findings are summarized, with a focus on the application of ANNs for diagnostic and prognostic purposes. Finally, the future of ANNs in neurosurgery is explored. A total of 1093 citations were identified and screened. In all, 57 citations were found to be relevant. Of these, 50 articles were eligible for inclusion in this review. The synthesis of the data showed several applications of ANN in neurosurgery, including: (1) diagnosis and assessment of disease progression in low back pain, brain tumours and primary epilepsy; (2) enhancing clinically relevant information extraction from radiographic images, intracranial pressure processing, low back pain and real-time tumour tracking; (3) outcome prediction in epilepsy, brain metastases, lumbar spinal stenosis, lumbar disc herniation, childhood hydrocephalus, trauma mortality, and the occurrence of symptomatic cerebral vasospasm in patients with aneurysmal subarachnoid haemorrhage; (4) the use in the biomechanical assessments of spinal disease. ANNs can be effectively employed for diagnosis, prognosis and outcome prediction in neurosurgery.

Predicting endoscopic third ventriculostomy success in childhood hydrocephalus: an artificial neural network analysis.

OBJECT: Artificial neural networks (ANNs) can be used as a measure for the clinical decision-making process. The aim of this study was to develop an ANN model to predict endoscopic third ventriculostomy (ETV) success at 6 months and to compare the findings with those obtained using traditional predictive measures in childhood hydrocephalus. METHODS: The ANN, ETV Success Score (ETVSS), CURE Children's Hospital of Uganda (CCHU) ETV (CCHU ETV) Success Score, and logistic regression models were applied to predict outcomes. The cause of hydrocephalus, patient age, whether choroid plexus cauterization (CPC) was performed, previous shunt surgery, sex, type of hydrocephalus, and body weight were considered as input variables for an established ANN model. Data from hydrocephalic children who underwent ETV were applied, and the computer program that analyzes the data was trained to predict successful ETV by using several input variables. Successful ETV outcome was defined as the absence of ETV failure within 6 months of follow-up. Then, sensitivity analysis was performed for the established ANN model to identify the most important variables that predict outcome. The area under a receiver operating characteristic curve, accuracy rate of the prediction, and Hosmer-Lemeshow statistics were measured to test different prediction models. RESULTS: Data for 168 patients (80 males and 88 females; mean age 1.4 ± 2.6 years) were analyzed. Data from patients were divided into 3 groups: a training group (n = 84), a testing group (n = 42), and a validation group (n = 42). The successful ETV outcome rate, defined as the absence of ETV failure within 6 months of follow-up, was 47%. Etiology, age, CPC status, type of hydrocephalus, and previous shunt placement were the most important variables that were indicated by the ANN analysis. Compared with the ETVSS, CCHU ETV Success Score, and the logistic regression models, the ANN model showed better results, with an accuracy rate of 95.1%, a Hosmer-Lemeshow statistic of 41.2, and an area under the curve of 0.87. CONCLUSIONS: The findings show that ANNs can predict ETV success at 6 months with a high level of accuracy in childhood hydrocephalus. The authors' results will need to be confirmed with further prospective studies.

Use of artificial neural networks to predict surgical satisfaction in patients with lumbar spinal canal stenosis: clinical article.

OBJECT: The purpose of this study was to develop an artificial neural network (ANN) model for predicting 2-year surgical satisfaction, and to compare the new model with traditional predictive tools in patients with lumbar spinal canal stenosis. METHODS: The 2 prediction models included an ANN and a logistic regression (LR) model. The patient age, sex, duration of symptoms, walking distance, visual analog scale scores of leg pain or numbness, the Japanese Orthopaedic Association score, the Neurogenic Claudication Outcome Score, and the stenosis ratio values were determined as the input variables for the ANN and LR models that were developed. Patient surgical satisfaction was recorded using a standardized measure. The ANNs were fed patient data to predict 2-year surgical satisfaction based on several input variables. Sensitivity analysis was applied to the ANN model to identify the important variables. The receiver operating characteristic-area under curve (ROC-AUC), Hosmer-Lemeshow statistics, and accuracy rate were calculated for evaluating the 2 models. RESULTS: A total of 168 patients (59 male, 109 female; mean age 59.8 ± 11.6 years) were divided into training (n = 84), testing (n = 42), and validation (n = 42) data sets. Postsurgical satisfaction was 88.7% at 2-year follow-up. The stenosis ratio was the important variable selected by the ANN. The ANN model displayed a better accuracy rate in 96.9% of patients, a better Hosmer-Lemeshow statistic in 42.4% of patients, and a better ROC-AUC in 80% of patients, compared with the LR model. CONCLUSIONS: The findings show that an ANN can predict 2-year surgical satisfaction for use in clinical application and is more accurate compared with an LR model.

An outcome measure of functionality and pain in patients with lumbar disc herniation: a validation study of the Japanese Orthopedic Association (JOA) score.

BACKGROUND: Lumbar disc hernia (LDH) is a common cause of low back pain and radicular leg pain. The Japanese Orthopedic Association (JOA) score is a very short instrument for measuring functionality and pain in these patients. This study aimed to translate and validate the JOA score for use in Iran. METHODS: This was a prospective clinical validation study. Translation of the English version of the questionnaire was performed in accordance with published guidelines. A sample of patients with LDH was asked to respond to the questionnaire at two points in time--at preoperative and postoperative (6 months follow-up) assessments. To test reliability, the internal consistency was assessed by use of Cronbach's alpha coefficient. Validity was evaluated by use of known-groups comparison. RESULTS: A total of 117 patients with LDH were entered into the study. The mean age of patients was 45 (SD = 11) and Cronbach's alpha coefficients for the JOA score at the preoperative and postoperative assessments were 0.67 and 0.81, respectively. Validity as performed by known-groups analysis also showed the result was satisfactory. The instrument discriminated well between sub-groups of patients who differed in age and in a standard predictive measure of lumbar disc surgery (the Finneson-Cooper score). CONCLUSIONS: In general, the Iranian version of the JOA score performed well and the findings suggest that it is a reliable and valid measure of functionality and pain among LDH patients.