{"title":"Myélo-Computed Tomography 在评估缓慢脊髓压迫中的贡献:对尼亚美 33 个病例的回顾性研究","authors":"Inoussa DAOUDA BAKO, Samiha AMADOU TIEMOGO, Hissene MAHAMAT TIDJANI, Matallah MOUMOUNI SAKO, Taher SIDIBE, Abdoul Wahab ISSA","doi":"10.53022/oarjst.2024.10.1.0027","DOIUrl":null,"url":null,"abstract":"Purpose: To describe the contribution of Myélo-computed tomography during the assessment of slow spinal cord compressions and to determine the etiological profile. Patients and methods: This is a retrospective, cross-sectional, analytical and descriptive study of 33 cases collected in the radiology and imaging department of the National Hospital of Niamey (HNN) over a period of 14 months (from 31/12/2015 to 10/02/2017). Were included in the study all patients with slow spinal cord compression occurred in a non-traumatic setting, admitted to the service for a Myélo-computed tomography. Results: The mean age of the patients was 47.03 years with extremes ranging from 27 to 75 years. The 30-35 age group was the most affected with 23.2% of cases. In our study, Myélo-computed tomography detected medullary compression in 33 patients (33%). The extra-dural compartment was the most common site of slow medullary compression with 97% and intra dural extra marrow with 3%. The dorsal spine was the most affected stage by slow spinal compression with 52% followed by the cervical (27%) and lumbar (22%) stage. Infectious pathology was the most common cause of spinal cord compression with a frequency of 63.6%, followed by degenerative (27.3%) and tumoral (9.1%) pathology. Conclusion: Myélo-computed tomography plays an important role in topographic and etiologic diagnosis of slow spinal cord compression in the absence of MRI.","PeriodicalId":499957,"journal":{"name":"Open access research journal of science and technology","volume":"34 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Contribution of Myélo-Computed Tomography in the assessment of slow spinal cord compressions: Retrospective study of 33 cases in Niamey\",\"authors\":\"Inoussa DAOUDA BAKO, Samiha AMADOU TIEMOGO, Hissene MAHAMAT TIDJANI, Matallah MOUMOUNI SAKO, Taher SIDIBE, Abdoul Wahab ISSA\",\"doi\":\"10.53022/oarjst.2024.10.1.0027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose: To describe the contribution of Myélo-computed tomography during the assessment of slow spinal cord compressions and to determine the etiological profile. Patients and methods: This is a retrospective, cross-sectional, analytical and descriptive study of 33 cases collected in the radiology and imaging department of the National Hospital of Niamey (HNN) over a period of 14 months (from 31/12/2015 to 10/02/2017). Were included in the study all patients with slow spinal cord compression occurred in a non-traumatic setting, admitted to the service for a Myélo-computed tomography. Results: The mean age of the patients was 47.03 years with extremes ranging from 27 to 75 years. The 30-35 age group was the most affected with 23.2% of cases. In our study, Myélo-computed tomography detected medullary compression in 33 patients (33%). The extra-dural compartment was the most common site of slow medullary compression with 97% and intra dural extra marrow with 3%. The dorsal spine was the most affected stage by slow spinal compression with 52% followed by the cervical (27%) and lumbar (22%) stage. Infectious pathology was the most common cause of spinal cord compression with a frequency of 63.6%, followed by degenerative (27.3%) and tumoral (9.1%) pathology. Conclusion: Myélo-computed tomography plays an important role in topographic and etiologic diagnosis of slow spinal cord compression in the absence of MRI.\",\"PeriodicalId\":499957,\"journal\":{\"name\":\"Open access research journal of science and technology\",\"volume\":\"34 3\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Open access research journal of science and technology\",\"FirstCategoryId\":\"0\",\"ListUrlMain\":\"https://doi.org/10.53022/oarjst.2024.10.1.0027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open access research journal of science and technology","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.53022/oarjst.2024.10.1.0027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Contribution of Myélo-Computed Tomography in the assessment of slow spinal cord compressions: Retrospective study of 33 cases in Niamey
Purpose: To describe the contribution of Myélo-computed tomography during the assessment of slow spinal cord compressions and to determine the etiological profile. Patients and methods: This is a retrospective, cross-sectional, analytical and descriptive study of 33 cases collected in the radiology and imaging department of the National Hospital of Niamey (HNN) over a period of 14 months (from 31/12/2015 to 10/02/2017). Were included in the study all patients with slow spinal cord compression occurred in a non-traumatic setting, admitted to the service for a Myélo-computed tomography. Results: The mean age of the patients was 47.03 years with extremes ranging from 27 to 75 years. The 30-35 age group was the most affected with 23.2% of cases. In our study, Myélo-computed tomography detected medullary compression in 33 patients (33%). The extra-dural compartment was the most common site of slow medullary compression with 97% and intra dural extra marrow with 3%. The dorsal spine was the most affected stage by slow spinal compression with 52% followed by the cervical (27%) and lumbar (22%) stage. Infectious pathology was the most common cause of spinal cord compression with a frequency of 63.6%, followed by degenerative (27.3%) and tumoral (9.1%) pathology. Conclusion: Myélo-computed tomography plays an important role in topographic and etiologic diagnosis of slow spinal cord compression in the absence of MRI.