1.Survey of Sonoanatomic Distances For Lumbar Medial Branch Nerve Blocks in Healthy Volunteers.
Helen GHARAEI ; Farnad IMANI ; Masoud SOLAYMANI-DODARAN
The Korean Journal of Pain 2014;27(2):133-138
BACKGROUND: The precise knowledge of anatomy and the region of transverse process (TP) and superior articular processes (AP) and their distance from the skin are important in blocking and treating lumbar facet syndrome. Evaluation of these anatomic distances from 3rd and 5th lumbar vertebrae in both sides and in different body mass index (BMI) in healthy volunteers might improve knowledge of ultrasound (US) lumbar medial branch nerve blocks (LMBB). METHODS: Bilateral US in the 3rd and 5th lumbar vertebrae of 64 volunteers carried out and the distance between skin to TP and skin to AP was measured. These distances were compared on both sides and in different BMI groups. The analysis was done using SPSS 11. Analysis of variance was used to compare the means at three vertebral levels (L3-L5) and different BMI groups. P values less than 0.05 were considered statistically significant. The paired t-test was used to compare the mean distance between skin to TP and skin to AP on both sides. RESULTS: The distance between skin to TP and skin to AP of 3rd vertebrae to 5th vertebrae was increased in both right and left sides (P < 0.001) from up to down. The mean distance from skin to TP were greater on the left side compared to the right in all three vertebral levels from L3 to L5 (P values 0.014, 0.024, and 0.006 respectively). The mean distance from skin to TP and the skin to AP was statistically significant in different BMI groups (P < 0.001). CONCLUSIONS: We found many anatomic distances which may increase awareness of US guided LMBB.
Body Mass Index
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Healthy Volunteers*
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Lumbar Vertebrae
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Nerve Block*
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Skin
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Spine
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Ultrasonography
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Volunteers
2.Spatial Inequalities in the Incidence of Colorectal Cancer and Associated Factors in the Neighborhoods of Tehran, Iran: Bayesian Spatial Models
Kamyar MANSORI ; Masoud SOLAYMANI-DODARAN ; Alireza MOSAVI-JARRAHI ; Ali Ganbary MOTLAGH ; Masoud SALEHI ; Alireza DELAVARI ; Mohsen ASADI-LARI
Journal of Preventive Medicine and Public Health 2018;51(1):33-40
OBJECTIVES:
The aim of this study was to determine the factors associated with the spatial distribution of the incidence of colorectal cancer (CRC) in the neighborhoods of Tehran, Iran using Bayesian spatial models.
METHODS:
This ecological study was implemented in Tehran on the neighborhood level. Socioeconomic variables, risk factors, and health costs were extracted from the Equity Assessment Study conducted in Tehran. The data on CRC incidence were extracted from the Iranian population-based cancer registry. The Besag-York-Mollié (BYM) model was used to identify factors associated with the spatial distribution of CRC incidence. The software programs OpenBUGS version 3.2.3, ArcGIS 10.3, and GeoDa were used for the analysis.
RESULTS:
The Moran index was statistically significant for all the variables studied (p < 0.05). The BYM model showed that having a women head of household (median standardized incidence ratio [SIR], 1.63; 95% confidence interval [CI], 1.06 to 2.53), living in a rental house (median SIR, 0.82; 95% CI, 0.71 to 0.96), not consuming milk daily (median SIR, 0.71; 95% CI, 0.55 to 0.94) and having greater household health expenditures (median SIR, 1.34; 95% CI, 1.06 to 1.68) were associated with a statistically significant elevation in the SIR of CRC. The median (interquartile range) and mean (standard deviation) values of the SIR of CRC, with the inclusion of all the variables studied in the model, were 0.57 (1.01) and 1.05 (1.31), respectively.
CONCLUSIONS
Inequality was found in the spatial distribution of CRC incidence in Tehran on the neighborhood level. Paying attention to this inequality and the factors associated with it may be useful for resource allocation and developing preventive strategies in atrisk areas.
3.Spatial Inequalities in the Incidence of Colorectal Cancer and Associated Factors in the Neighborhoods of Tehran, Iran: Bayesian Spatial Models
Kamyar MANSORI ; Masoud SOLAYMANI-DODARAN ; Alireza MOSAVI-JARRAHI ; Ali Ganbary MOTLAGH ; Masoud SALEHI ; Alireza DELAVARI ; Mohsen ASADI-LARI
Korean Journal of Preventive Medicine 2018;51(1):33-40
OBJECTIVES: The aim of this study was to determine the factors associated with the spatial distribution of the incidence of colorectal cancer (CRC) in the neighborhoods of Tehran, Iran using Bayesian spatial models. METHODS: This ecological study was implemented in Tehran on the neighborhood level. Socioeconomic variables, risk factors, and health costs were extracted from the Equity Assessment Study conducted in Tehran. The data on CRC incidence were extracted from the Iranian population-based cancer registry. The Besag-York-Mollié (BYM) model was used to identify factors associated with the spatial distribution of CRC incidence. The software programs OpenBUGS version 3.2.3, ArcGIS 10.3, and GeoDa were used for the analysis. RESULTS: The Moran index was statistically significant for all the variables studied (p < 0.05). The BYM model showed that having a women head of household (median standardized incidence ratio [SIR], 1.63; 95% confidence interval [CI], 1.06 to 2.53), living in a rental house (median SIR, 0.82; 95% CI, 0.71 to 0.96), not consuming milk daily (median SIR, 0.71; 95% CI, 0.55 to 0.94) and having greater household health expenditures (median SIR, 1.34; 95% CI, 1.06 to 1.68) were associated with a statistically significant elevation in the SIR of CRC. The median (interquartile range) and mean (standard deviation) values of the SIR of CRC, with the inclusion of all the variables studied in the model, were 0.57 (1.01) and 1.05 (1.31), respectively. CONCLUSIONS: Inequality was found in the spatial distribution of CRC incidence in Tehran on the neighborhood level. Paying attention to this inequality and the factors associated with it may be useful for resource allocation and developing preventive strategies in atrisk areas.
Colorectal Neoplasms
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Family Characteristics
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Female
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Health Care Costs
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Health Expenditures
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Humans
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Incidence
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Iran
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Milk
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Residence Characteristics
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Resource Allocation
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Risk Factors
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Socioeconomic Factors
4.Predictors of Colorectal Cancer Survival in Golestan, Iran: A Population-based Study.
Mohammad ARYAIE ; Gholamreza ROSHANDEL ; Shahryar SEMNANI ; Mohsen ASADI-LARI ; Mohsen AARABI ; Mohammad Ali VAKILI ; Vahideh KAZEMNEJHAD ; Seyed Mehdi SEDAGHAT ; Masoud SOLAYMANI-DODARAN
Epidemiology and Health 2013;35(1):e2013004-
OBJECTIVES: We aimed to investigate factors associated with colorectal cancer survival in Golestan, Iran. METHODS: We used a population based cancer registry to recruit study subjects. All patients registered since 2004 were contacted and data were collected using structured questionnaires and trained interviewers. All the existing evidences to determine the stage of the cancer were also collected. The time from first diagnosis to death was compared in patients according to their stage of cancer using the Kaplan-Meir method. A Cox proportional hazard model was built to examine their survival experience by taking into account other covariates. RESULTS: Out of a total of 345 subjects, 227 were traced. Median age of the subjects was 54 and more than 42% were under 50 years old. We found 132 deaths among these patients, 5 of which were non-colorectal related deaths. The median survival time for the entire cohort was 3.56 years. A borderline significant difference in survival experience was detected for ethnicity (log rank test, p=0.053). Using Cox proportional hazard modeling, only cancer stage remained significantly associated with time of death in the final model. CONCLUSIONS: Colorectal cancer occurs at a younger age among people living in Golestan province. A very young age at presentation and what appears to be a high proportion of patients presenting with late stage in this area suggest this population might benefit substantially from early diagnoses by introducing age adapted screening programs.
Cohort Studies
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Colorectal Neoplasms
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Humans
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Mass Screening
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Proportional Hazards Models
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Surveys and Questionnaires