Predictive Value of Blood Markers in Nonfunctional Pituitary Adenomas using Artificial Neural Network.

Background: Nonfunctioning pituitary adenomas (NFPAs) are the most common pituitary tumors and although they do not secrete hormones, they can have systemic effects. These tumors affect the function of other organs in the body by exerting pressure on the pituitary gland. There are differences between biomarkers NFPAs compared to healthy people. This study was conducted to show blood marker changes in adenomas compared to healthy people. Materials and Methods: This article compared the blood markers of NFPAs with healthy individuals retrospectively. The difference between blood markers in the two groups was statistically investigated where the predictive value of blood markers in the differentiation of the two groups was determined. An artificial neural network was also designed using the blood markers with its accuracy and predictive value determined. Results: A total of 96 NFPAs (nonfunctional pituitary adenoma) and 96 healthy individuals were evaluated. There was statistically a significant difference and positive correlation in platelet to lymphocyte ratio, neutrophil to lymphocyte ratio, and derived neutrophil to lymphocyte ratio between NFPAs and healthy individuals. There was a significant and negative correlation between red blood cell (RBC), lymphocyte, and monocyte between the two groups. RBC as an independent factor was associated with NFPAs. In this study, the artificial neural network was able to differentiate between NFPTs cases and healthy individuals with an accuracy of 81.2%. Conclusion: There are differences between blood markers in NFPAs relative to healthy people and the artificial neural network can accurately differentiate between them.

Predictive Value of Blood Markers in Pediatric Brain Tumors Using Machine Learning.

BACKGROUND: The brain tumor is the most common solid tumor in children. Blood markers in most malignancies are altered due to the effect of inflammatory mediators on the bone marrow. OBJECTIVE: This study aimed to predict the malignancy of pediatric brain tumors using blood markers. METHODS: The pediatric brain tumors were divided into benign and malignant groups. Blood markers, including RBC, WBC, neutrophil, lymphocyte, monocyte, platelet, neutrophil to lymphocyte ratio, lymphocyte to monocyte ratio (LMR), platelet to lymphocyte ratio, and derived neutrophil to lymphocyte ratio were extracted. Differences in blood markers between two groups were assessed using statistical analysis. The accuracy of machine learning to determine pediatric brain tumors' malignancy was evaluated using blood markers and demographic information. RESULTS: Among 113 patients, 55 patients were in the benign tumor group, and 58 patients were in the malignant tumor group. In the statistical study of blood markers in two groups, LMR was significantly different and positively correlated with malignancy. Other blood markers were not significantly different between two groups. This study showed that support-vector machines using blood markers, age, and sex can differentiate benign and malignant pediatric brain tumors with 71.6% accuracy. CONCLUSIONS: Despite the statistically significant differences in blood markers in different grades of brain tumors in adults, their differences in pediatric brain tumors, except LMR, were not significant. Machine learning using blood markers can differentiate between benign and malignant pediatric brain tumors with 71.6% accuracy.

Local vancomycin therapy to reduce surgical site infection in adult spine surgery: a randomized prospective study.

PURPOSE: This prospective randomized controlled trial hypothesizes that intra wound vancomycin reduces postoperative infection. METHODS: In this RCT study, the patients were randomly divided into two groups of treatment and control. In the treatment group, 1-2 g of intra wound vancomycin was used, and no drug was used for the control group. SSI and the type of microorganism causing postoperative infection were assessed at a three-month follow-up. Factors affecting postoperative infection such as age, sex, site of operation, surgical levels, and risk factors affecting postoperative infection, such as diabetes, blood pressure, ischemic heart disease, smoking, blood transfusion, BMI, neurologic deficit, CSF leakage, UTI, COPD and surgery time were examined in two groups. RESULTS: In this study, 375 patients, including 187patients in the treatment group and 188 patients in the control group, were studied. Among the patients, 228 had surgery without instrumentation, and 147 had surgery with instrumentation. There were 12 cases of SSI in the treatment group and 11 in the control group, and there was no statistically significant difference between the two groups. There was no difference between the two groups with and without instrumentation in the evaluation of postoperative infection. In the subgroups with and without instruments, there was no significant difference between treatment and control groups. Due to the microorganism causing the infection, gram-negative bacteria were more common in the treatment group. CONCLUSION: Intra-wound vancomycin has no effect on SSI; in addition, it can increase the rate of gram-negative infections.

Accuracy and safety of C2 pedicle or pars screw placement: a systematic review and meta-analysis.

STUDY DESIGN: Systematic review and meta-analysis. AIM: The purpose of this study was to compare the safety and accuracy of the C2 pedicle versus C2 pars screws placement and free-hand technique versus navigation for upper cervical fusion patients. METHODS: Databases searched included PubMed, Scopus, Web of Science, and Cochrane Library to identify all papers published up to April 2020 that have evaluated C2 pedicle/pars screws placement accuracy. Two authors individually screened the literature according to the inclusion and exclusion criteria. The accuracy rates associated with C2 pedicle/pars were extracted. The pooled accuracy rate estimated was performed by the CMA software. A funnel plot based on accuracy rate estimate was used to evaluate publication bias. RESULTS: From 1123 potentially relevant studies, 142 full-text publications were screened. We analyzed data from 79 studies involving 4431 patients with 6026 C2 pedicle or pars screw placement. We used the Newcastle-Ottawa Scale (NOS) to evaluate the quality of studies included in this review. Overall, funnel plot and Begg's test did not indicate obvious publication bias. The pooled analysis reveals that the accuracy rates were 93.8% for C2 pedicle screw free-hand, 93.7% for pars screw free-hand, 92.2% for navigated C2 pedicle screw, and 86.2% for navigated C2 pars screw (all, P value < 0.001). No statistically significant differences were observed between the accuracy of placement C2 pedicle versus C2 pars screws with the free-hand technique and the free-hand C2 pedicle group versus the navigated C2 pedicle group (all, P value > 0.05). CONCLUSION: Overall, there was no difference in the safety and accuracy between the free-hand and navigated techniques. Further well-conducted studies with detailed stratification are needed to complement our findings.

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.

A Review on the Use of Artificial Intelligence in Spinal Diseases.

Artificial neural networks (ANNs) have been used in a wide variety of real-world applications and it emerges as a promising field across various branches of medicine. This review aims to identify the role of ANNs in spinal diseases. Literature were searched from electronic databases of Scopus and Medline from 1993 to 2020 with English publications reported on the application of ANNs in spinal diseases. The search strategy was set as the combinations of the following keywords: "artificial neural networks," "spine," "back pain," "prognosis," "grading," "classification," "prediction," "segmentation," "biomechanics," "deep learning," and "imaging." The main findings of the included studies were summarized, with an emphasis on the recent advances in spinal diseases and its application in the diagnostic and prognostic procedures. According to the search strategy, a set of 3,653 articles were retrieved from Medline and Scopus databases. After careful evaluation of the abstracts, the full texts of 89 eligible papers were further examined, of which 79 articles satisfied the inclusion criteria of this review. Our review indicates several applications of ANNs in the management of spinal diseases including (1) diagnosis and assessment of spinal disease progression in the patients with low back pain, perioperative complications, and readmission rate following spine surgery; (2) enhancement of the clinically relevant information extracted from radiographic images to predict Pfirrmann grades, Modic changes, and spinal stenosis grades on magnetic resonance images automatically; (3) prediction of outcomes in lumbar spinal stenosis, lumbar disc herniation and patient-reported outcomes in lumbar fusion surgery, and preoperative planning and intraoperative assistance; and (4) its application in the biomechanical assessment of spinal diseases. The evidence suggests that ANNs can be successfully used for optimizing the diagnosis, prognosis and outcome prediction in spinal diseases. Therefore, incorporation of ANNs into spine clinical practice may improve clinical decision making.

Cut-off Value for Body Mass Index in Predicting Surgical Success in Patients with Lumbar Spinal Canal Stenosis.

STUDY DESIGN: Case-control. PURPOSE: To determine optimal cut-off value for body mass index (BMI) in predicting surgical success in patients with lumbar spinal canal stenosis (LSCS). OVERVIEW OF LITERATURE: BMI is an essential variable in the assessment of patients with LSCS. METHODS: We conducted a prospective study with obese and non-obese LSCS surgical patients and analyzed data on age, sex, duration of symptoms, walking distance, morphologic grade of stenosis, BMI, postoperative complications, and functional disability. Obesity was defined as BMI of ≥30 kg/m2. Patients completed the Oswestry Disability Index (ODI) questionnaire before surgery and 2 years after surgery. Surgical success was defined as ≥30% improvement from the baseline ODI score. Receiver operating characteristic (ROC) analysis was used to estimate the optimal cut-off values of BMI to predict surgical success. In addition, correlation was assessed between BMI and stenosis grade based on morphology as defined by Schizas and colleague in total, 189 patients were eligible to enter the study. RESULTS: Mean age of patients was 61.5±9.6 years. Mean follow-up was 36±12 months. Most patients (88.4%) were classified with grades C (severe stenosis) and D (extreme stenosis). Post-surgical success was 85.7% at the 2-year follow-up. A weak correlation was observed between morphologic grade of stenosis and BMI. Rates of postoperative complications were similar between patients who were obese and those who were non-obese. Both cohorts had similar degree of improvement in the ODI at the 2-year followup. However, patients who were non-obese presented significantly higher surgical success than those who were obese. In ROC curve analysis, a cut-off value of ≤29.1 kg/m2 for BMI in patients with LSCS was suggestive of surgical success, with 81.1% sensitivity and 82.2% specificity (area under the curve, 0.857; 95% confidence interval, 0.788-0.927). CONCLUSION: This study showed that the BMI can be considered a parameter for predicting surgical success in patients with LSCS and can be useful in clinical practice.

Comparison of postoperative clinical outcome after repairing surgery for lumbar spinal stenosis between diabetic and nondiabetic patients.

BACKGROUND: Poorer postoperative outcome is suggested after repairing surgery in diabetic patients with lumbar spinal stenosis in comparison with nondiabetic patients. The present study aimed to compare the clinical outcome of surgery for lumbar spinal stenosis and diabetic and nondiabetic patients to highlight the effect of diabetes on prognosis of this surgical procedure. METHODS: This prospective cohort study is conducted on 25 diabetic patients with lumbar spinal stenosis who were candidate for surgical treatment. A gender, age, and body mass index-matched group including 30 nondiabetic patients with lumbar spinal stenosis was considered as the control. The clinical condition of the patients was assessed based on oswestry disability index (ODI) before and immediately after surgery. RESULTS: There was no difference in baseline ODI index between diabetes and diabetes group (73.68 ± 18.89 vs. 71.20 ± 18.27, P = 0.625), whereas postprocedure ODI was significantly higher in diabetic patients than in nondiabetic group (54.32 ± 19.03 vs. 29.47 ± 18.75, P < 0.001). The multivariable logistic regression analysis could show a difference in postoperative ODI between diabetic and nondiabetic patients with the presence of baseline variables as the confounders (beta = -24.509, P < 0.001). CONCLUSION: Lower improvement in physical ability is expected in diabetic patients after surgery for lumbar spinal stenosis when compared to nondiabetes patients.

Decision-making process in patients with lumbar spinal canal stenosis.

BACKGROUND: The aim of this study was to develop a strategy to determine a sound methodology for decision-making in lumbar spinal canal stenosis (LSCS). METHODS: This was a retrospective study of patients with LSCS to determine the rationale for those who underwent surgery and those who received conservative treatment. All case records were assessed to extract information on the morphology grade and dural sac cross-sectional surface area (DSCA) on MRI. Patients' functionality and satisfaction were examined as outcome measures in order to understand factors that were associated with benefit from either treatment strategy. RESULTS: In all 357 patients, case records were reviewed. The mean age of patients was 57.5 (SD=10.9) years. Of these, 176 patients underwent surgery. Post-treatment satisfaction was found in a large portion of the surgical group (93.2%) whereas this was 84.5% for those who received conservative treatment. Most patients (86.4%) who underwent surgery were identified as having grade C and grade D stenosis, while those who received conservative treatment were identified as having grade A and grade B stenosis (P<0.01). Overall satisfaction with surgery was found to be higher among patients with grade D stenosis (95%). Satisfaction by cross-sectional surface area did not show a consistent pattern. However, those with a cross-sectional surface area less than 100 mm2 benefited more from surgery. According to the findings, a decision matrix was proposed. CONCLUSIONS: The findings suggest that the morphological grade and the DSCA jointly are useful parameters for helping clinicians to make clinically sound decisions in LSCS patients.

Use of artificial neural networks to decision making in patients with lumbar spinal canal stenosis.

BACKGROUND: A lack of consensus exists regarding indications for surgery for lumbar spinal canal stenosis (LSCS). Hence, the aim of this study was to develop an artificial neural network (ANN) model that is designed to accurately select patients for surgery or non-surgical options and to compare such with the traditional clinical decision making approach in LSCS patients. METHODS: An ANN model and a logistic regression (LR) model were used as predicting models. The data for a total of 346 of 379 patients (143 male, 203 female, mean age 59.5±11.5 years) were available for the analysis. The measured metrics included Visual Analog Scale (VAS) of leg pain/numbness, the Japanese Orthopedic Association (JOA) Score, the Neurogenic Claudication Outcome Score (NCOS), the Oswestry Disability Index (ODI), the Swiss Spinal Stenosis Score (SSS), the Stenosis Bothersomeness Index (SBI), the dural sac cross-sectional surface area (DSCA), the Stenosis Ratio (SR), the Self-Paced Walking Test (SPWT), morphology grade presented by Schizas et al. and grading system introduced by Lee et al. Successful outcome was recorded based on the criteria presented by Stucki et al. Twelve measures and age, gender, and duration of symptoms, were recorded as the input variables for the ANN and LR, and the ANN was fed with patients. A sensitivity analysis was applied to the developed ANN model to identify the important variables. Receiver operating characteristic (ROC) analysis, Hosmer-Lemeshow (H-L) statistics and accuracy rate were calculated for evaluating the two models. The study was not supported by a grant and the authors declare that they have no conflict of interest. RESULTS: The patient information was divided into training (N.=174), testing (N.=86), and validation (N.=86) data sets. Successful outcome were achieved in 93.4% of the patients selected for surgery and 89.4% for non-surgery at 1-year follow-up. The SR, morphology grade and grading system were important variables identified by the ANN. The ANN model displayed better accuracy rate (97.8 %), a better H-L statistic (41.1 %) which represented a good-fit calibration, and a better AUC (89.0%), compared to the LR model. CONCLUSIONS: The findings showed that an ANN model can predict the optimal treatment choice for LSCS patients in clinical setting and is superior to LR model. Our results will need to be confirmed with external validation studies.

An Outcome Measure of Functionality and Pain in Patients with Low Back Disorder: A Validation Study of the Iranian version of Low Back Outcome Score.

STUDY DESIGN: Cross-sectional study. PURPOSE: This study aimed to cross-culturally translate and validate the low back outcome score (LBOS) in Iran. OVERVIEW OF LITERATURE: Lumbar disc hernia (LDH) is the most common diagnoses of low back pain and imposes a heavy burden on both individual and society. Instruments measuring patient reported outcomes should satisfy cetain psychometric properties. METHODS: The translation and cross-cultural adaptation of the original questionnaire was performed using Beaton's guideline. A total of 163 patients with LDH were asked to respond to the questionnaire at three points in time: preoperative and twice within 1-week interval after surgery assessments. The Oswestry disabilty index (ODI) was also completed. The internal consistency, test-retest, convergent validity, and responsiveness to change were assessed. Responsiveness to change also was assessed comparing patients' pre- and postoperative scores. RESULTS: The mean age of the cohort was 49.8 years (standard deviation=10.1). The Cronbach's alpha coefficients for the LBOS at preoperative and postoperative assessments ranged from 0.77 to 0.79, indicating good internal consistency. Test-retest reliability as performed by intraclass correlation coefficient was found to be 0.82 (0.62-0.91). The instrument discriminated well between sub-groups of patients who differed in the Finneson-Cooper score. The ODI correlated strongly with the LBOS score, lending support to its good convergent validity (r=--0.83; p<0.001). Further analysis also indicated that the questionnaire was responsive to change (p<0.001). CONCLUSIONS: The Iranian version of LBOS performed well and the findings suggest that it is a valid measure of back pain treatment evaluation among LDH patients.

The role of stenosis ratio as a predictor of surgical satisfaction in patients with lumbar spinal canal stenosis: a receiver-operator characteristic (ROC) curve analysis.

BACKGROUND: The aim of this study was to elucidate independent factors that predict surgical satisfaction in lumbar spinal canal stenosis (LSCS) patients. METHODS: Patients who underwent surgery were grouped based on the age, gender, duration of symptoms, walking distance, Neurogenic Claudication Outcome Score (NCOS) and the stenosis ratio (SR) described by Lurencin. We recorded on 2-year patient satisfaction using standardized measure. The optimal cut-off points in SR, NCOS and walking distance for predicting surgical satisfaction were estimated from sensitivity and specificity calculations and receiver operator characteristic (ROC) curves. RESULTS: One hundred fifty consecutive patients (51 male, 99 female, mean age 62.4±10.9 years) were followed up for 34±13 months (range 24-49). One, two, three and four level stenosis was observed in 10.7%, 39.3%, 36.0 % and 14.0% of patients, respectively. Post-surgical satisfaction was 78.5% at the 2 years follow up. In ROC curve analysis, the asymptotic significance is less than 0.05 in SR and the optimal cut-off value of SR to predict worsening surgical satisfaction was measured as more than 0.52, with 85.4% sensitivity and 77.4% specificity (AUC 0.798, 95% CI 0.73-0.90; P<0.01). CONCLUSIONS: The present study suggests that the SR, with a cut-off set a 0.52 cross-sectional area, may be superior to walking distance and NCOS in patients with degenerative lumbar stenosis considered for surgical treatment. Using a ROC curve analysis, a radiological feature, the SR, demonstrated superiority in predicting patient satisfaction, compared to functional and clinical characteristics such as walking distance and NCOS.

Outcomes of Surgery in Patients with Lumbar Spinal Canal Stenosis: Comparison of Three Types of Stenosis on MRI.

The aim of the study was to compare outcome of surgery in patients with lumbar canal stenosis (LCS) based on magnetic resonance imaging (MRI) morphology. This was a prospective study of 96 consecutive patients who underwent surgery at 143 levels of LCS (from L3-L4 to L5-S1). Using patterns on T2 axial MRI, the type of stenosis was determined for each patient. The Swiss Spinal Stenosis Score (SSS) was used to evaluate patients' functionality and outcomes. The definition of treatment success was based on the criteria developed by Stucki et al. Demographic characteristics and post-operative outcomes were compared between trefoil, triangular, and pin-hole groups. Finally, correlation between SSS score and the MRI morphology was assessed. The mean age of patients was 58.4 (SD = 8.9) years. Post-treatment satisfaction was observed in a large portion of the patients (87.5%). The trefoil group (n = 44), triangular group (n = 38), and pin-hole group (n = 14) had similar pre-operative Swiss Spinal Stenosis Score and were not significantly different in age, operative time, blood loss, duration of symptoms, walking distance, symptom severity and physical function (all p>0.4). No correlation between SSS score and the MRI morphology was observed. The findings suggest that the type of stenosis based on magnetic resonance imaging morphology is not indicative of surgical outcome among lumbar canal stenosis patients who undergo surgery at 1-year follow-up.

Outcome Measure of Pain in Patients with Lumbar Disc Herniation: Validation Study of the Iranian version of Pain Sensitivity Questionnaire.

STUDY DESIGN: Cross-sectional. PURPOSE: To translate and culturally adapt an Iranian version of the Pain Sensitivity Questionnaire (PSQ) in Iran. OVERVIEW OF LITERATURE: Instruments measuring patient reported outcomes should satisfy certain psychometric properties. METHODS: The PSQ was translated following cross-cultural adaptation guidelines. A total of 101 patients with lumbar disc herniation (LDH), and 39 healthy cases were included in the study. All participants completed the PSQ and the Pain Catastrophizing Scale (PCS). The internal consistency, test-retest reliability, known group comparison, criterion validity and item-scale correlations were assessed. RESULTS: The mean age of participants was 51.7 years. Reliability, validity and correlation of PSQ and PCS showed satisfactory results. Cronbach's alpha coefficients were 0.81 for PSQ-total, 0.82 for PSQ-minor, and 0.82 for PSQ-moderate. The intraclass correlation coefficients value was 0.84 (0.616-0.932) indicating an excellent test-retest reliability. The instrument discriminated well between sub-groups of patients who differed in a standard predictive measure of LDH surgery (the Finneson-Cooper score). Total PSQ were also significantly correlated with the total scores of the PCS, lending support to its good convergent validity. Additionally, the correlation of each item with its hypothesized domain on the PSQ indicated acceptable results, suggesting that the items had a substantial relationship with their own domains. CONCLUSIONS: The adapted Iranian PSQ is a valid and reliable questionnaire for the assessment of pain in patients with LDH.

Surgical Outcomes and Correlation of the Copenhagen Neck Functional Disability Scale and Modified Japanese Orthopedic Association Assessment Scales in Patients with Cervical Spondylotic Myelopathy.

STUDY DESIGN: Cross-sectional. PURPOSE: Clinical outcome study comparing the Copenhagen Neck Functional Disability Scale (CNFDS) and modified Japanese orthopedic association (mJOA) assessment scales in patients with cervical spondylotic myelopathy (CSM). OVERVIEW OF LITERATURE: Comparison of instruments that measure patient-reported outcomes is needed. METHODS: A cross-sectional analysis was conducted. Ninety five patients with CSM were entered into the study and completed the CNFDS and the mJOA preoperatively and postoperatively. Correlation between the CNFDS and the mJOA was evaluated preoperatively and at the end of follow-up. Responsiveness to change of CNFDS and mJOA was also assessed. Clinical outcomes were also measured with the recovery rate of mJOA score at end of follow-up. RESULTS: The mean age of patients was 58.2 (standard deviation, SD=8.7) years. Mean follow-up was 2.1 years (range, 1 to 4 years). The mJOA correlated strongly with the CNFDS score preoperatively and postoperatively (r=-0.81 and -0.82, respectively; p<0.001). The CNFDS and the mJOA were able to detect changes after the surgery (p<0.001). The mean mJOA recovery rate was 51.8% (SD=13.1%). CONCLUSIONS: Surgery for the treatment of patients with CSM is an efficacious procedure. CNFDS and mJOA scores have a strong correlation in measuring disability among CSM patients.

The prediction of successful surgery outcome in lumbar disc herniation based on artificial neural networks.

BACKGROUND: The aim of this study was to develop an artificial neural networks (ANNs) model for predict successful surgery outcome in lumbar disc herniation (LDH). METHODS: An ANN model and a logistic regression (LR) model were used to predict outcomes outcomes. The age, gender, duration of symptoms, smoking status, surgical level, visual analog scale (VAS) of leg/ back pain, the Zung Depression Scale (ZDS), and the Japanese Orthopaedic Association (JOA) Score, were determined as the input variables for the established ANN model. The Macnab classification was used for outcome assessment. ANNs on data from LDH patients, who had surgery, were trained to predict 2-year successful discectomy using several input variables. Sensitivity analysis to the established ANN model was used to identify the relevant variables. For evaluating the two models, the area under a receiver operating characteristic (ROC) curve (AUC), accuracy rate of predicting, and Hosmer-Lemeshow (H-L) statistics were considered. RESULTS: A total of 203 (96 male, 107 female, mean age 48.3±9.8 years) patients were caterigized into training, testing, and validation data sets consisting of 101, 51, and 51 cases, respectively. Surgical successful outcome was: categorized as excellent, 32%; good, 40.9%; fair, 20.7% and poor, 6.4% at 2-year follow-up. Compared to the LR model, the ANN model showed better results: accuracy rate, 95.8%; H-L statistic, 41.5%; and AUC, 0.82% of patients. CONCLUSIONS: The findings show that an ANNs can predict successful surgery outcome with a high level of accuracy in LDH patients. Such information is of use in the clinical decision-making process.

Decision-Making Process in Patients with Thoracolumbar and Lumbar Burst Fractures with Thoracolumbar Injury Severity and Classification Score Less than Four.

STUDY DESIGN: Cross-sectional. PURPOSE: To develop a strategy to determine a sound method for decision-making based on postoperative clinical outcome satisfaction. OVERVIEW OF LITERATURE: The ideal management of thoracolumbar and lumbar burst fractures (TLBF) without neurological compromise remains controversial. METHODS: This was a prospective study. Patients with thoracolumbar injury severity and classification score (TLICS) <4 were treated nonoperatively, with bed rest and bracing until the pain decreased sufficiently to allow mobilization. Surgery was undertaken in patients with intractable pain despite an appropriate nonoperative treatment (surgery group). The Oswestry disability index (ODI) measure was observed at baseline and at the last follow-up. Clinically success was defined at least a 30% improvement from the baseline ODI scores in both the conservative and surgery groups. All case records were assessed for gender, age, residual canal and angulations at the site of the fracture in order to determine which patients benefited from surgery or conservative treatment and which did not. RESULTS: In all 113 patients with T11-L5, TLBFs were treated. The patients' mean age was 49.2 years. Patients successfully completed either nonoperative (n=99) or surgical (n=14) treatment based on ODI. Clinical examinations revealed that all of the patients had intact neurology. The mean follow-up period was 29.5 months. There was a significant difference between the two groups based on age and residual canal. The mean ODI score significantly improved for both groups (p <0.01). According to the findings, a decision matrix was proposed. CONCLUSIONS: The findings confirm that TLICS <4, age, and residual canal can be used to guide the treatment of TLBF in conservative decision-making.

Outcome Measures of Functionality, Social Interaction, and Pain in Patients with Cervical Spondylotic Myelopathy: A Validation Study for the Iranian Version of the Copenhagen Neck Functional Disability Scale.

STUDY DESIGN: Cross-sectional. PURPOSE: To translate and validate the Iranian version of the Copenhagen Neck Functional Disability Scale (CNFDS). OVERVIEW OF LITERATURE: Instruments measuring patient-reported outcomes should satisfy certain psychometric properties. METHODS: Ninety-three cases of cervical spondylotic myelopathy were entered into the study and completed the CNFDS pre and postoperatively at the 6 month follow-up. The modified Japanese Orthopedic Association Score was also completed. The internal consistency, test-retest, convergent validity, construct validity (item scale correlation), and responsiveness to change were assessed. RESULTS: Mean age of the patients was 54.3 years (standard deviation, 8.9). The Cronbach α coefficient was satisfactory (α=0.84). Test-retest reliability as assessed by the intraclass correlation coefficient analysis was 0.95 (95% confidence interval, 0.92-0.98). The modified Japanese Orthopedic Association score correlated strongly with the CNFDS score, lending support to its good convergent validity (r=-0.80; p<0.001). Additionally, the correlation of each item with its hypothesized domain on the CNFDS was acceptable, suggesting that the items had a substantial relationship with their own domains. These results also indicate that the instrument was responsive to change (p<0.0001). CONCLUSIONS: The findings suggest that the Iranian version of the CNFDS is a valid measure to assess functionality, social interaction, and pain among patients with cervical spondylotic myelopathy.

The AOSpine thoracolumbar spine injury classification system: A reliability and agreement study.

AIM: Recently, AOSpine trauma knowledge forum proposed the AOSpine thoracolumbar injury classification (AOSTLIC) system and suggested that it was reliable. However, reliability data from additional institutions for the AOSTLIC system are not available. This study was to examine the reliability of the AOSTLIC system in patients with thoracolumbar (TL) fractures. MATERIALS AND METHODS: Between August 2009 and June 2012, 56 patients with 74 levels traumatic TL spinal injuries were recruited. Two classifiers, consisting of two spine surgeons, assessed clinical and imaging data. Initially, one surgeon reviewed the data in order to classify and calculate injury severity score according to the AOSTSIC system. This process was repeated on a 5-week interval by another surgeon. Then we analyzed data for intra-observer and inter-observer reliability using the kappa statistic (k). Finally, validity was assessed using the known-groups comparison. RESULTS: The mean age of patients was 59.5 ± 11.5 years. The κ values for the AOSTSIC system for intra-observer and inter-observer reliability ranged from 0.83 to 0.89, indicating nearly perfect agreement agreements. Known-groups analysis showed satisfactory results. The AOSTSIC system discriminated well between sub-groups of patients who differed in Oswestry disability index. CONCLUSION: The findings showed that the morphologic classification in AOSTSIC system appears to be reliable and reproducible classification.

Role of the Self-Administered, Self-Reported History Questionnaire to Identify Types of Lumbar Spinal Stenosis: A Sensitivity Analysis.

STUDY DESIGN: Case-control design. PURPOSE: To evaluate the role of the self-administered, self-reported history questionnaire (SSHQ) in identifying types of lumbar spinal stenosis (LSS). OVERVIEW OF LITERATURE: Diagnosis of types of LSS is controversial. METHODS: A total of 235 patients with LSS were asked to respond to the SSHQ. All of these patients recovered following surgical treatment. The classification of LSS patients was based on history, physical examinations, and imaging studies. It is considered to be the gold standard. Radicular and neurogenic claudication types of LSS were based on the SSHQ developed by Konno et al. Two categories of LSS were determined based on the SSHQ tool and gold standard. Finally, a sensitivity analysis was carried out to evaluate the diagnostic value of the SSHQ. RESULTS: The mean age of patients was 59.4 years. According to the criteria for gold standard, patients were diagnosed with the radicular type (n=103), and neurogenic claudication type (n=132). The questionnaire had desirable sensitivity, specificity, and accuracy in categorizing the two types of LSS: 97.8%, 66.6%, and 96.8% for the radicular type, and 97.0%, 80.0%, and 95.7% for the neurogenic claudication type. CONCLUSIONS: Our findings indicate that the SSHQ is a reliable and a valid measure and it may be a clinical diagnosis support tool for identifying patients with two types of LSS.