@article{10.11648/j.ijmi.20241202.12,
  author = {Mohammad Salehin Abedin and Mohammad Mojibur Rahman and Sohel Rana Sumon and Abdur Rab Akanda and Marzuk Ahamed and Mohammad Motiur Rahman and Mohammad Ripon Sikder},
  title = {Abdominal CT Scan Role out of Fatty Liver Disease: A Study in a Selected Hospital
},
  journal = {International Journal of Medical Imaging},
  volume = {12},
  number = {2},
  pages = {28-33},
  doi = {10.11648/j.ijmi.20241202.12},
  url = {https://doi.org/10.11648/j.ijmi.20241202.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmi.20241202.12},
  abstract = {Introduction: Fatty liver is a hepatic manifestation that can occur as a result of many medical problems and the use of certain drugs. The global prevalence of fatty liver is on the rise due to the escalating obesity epidemic. CT scans have proven to be useful in noninvasively identifying the presence and determining the degree of liver fat. The aim of this study was to determine the efficacy of CT scan in the diagnosis of non-alcoholic fatty liver disease in individuals. Purpose: This study aimed to determine the effectiveness of CT scan in identifying non-alcoholic fatty liver disease in individuals. Methodology: The research was carried out in the Radiology and Imaging department of IbnSina Hospital in Dhaka, Bangladesh, spanning from January 2023 to June 2023. The study was conducted using a cross-sectional prospective design. This study encompassed a cohort of 300 individuals, all of whom were above the age of 18 and sought medical attention at the hospital for an abdominal CT scan. These individuals were suspected to have non-alcoholic fatty liver disease. The hepatic fat level in the patients was assessed using a typical CT scan methodology. The acquired data was analyzed using the Statistical Package for Social Sciences (SPSS) software, especially version 23.0. The study gained ethical clearance from the Ethics Committee of the School of Public Health & Life Science at the University of South Asia in Dhaka, Bangladesh. Findings: The study included a cumulative total of 300 individuals who were suspected to have the condition. According to age distribution, the maximum 203 (67.66%) of the patients were above 52 years and minimum 3(1%) were between (18-22) years, and followed by 44 (14.66%) (43-52) years, 36(12%), (33-42) years and 14(4.66%) (22-32) years. The majority of the patients were male 160(53.33%) and 140(46.66%) were female. Distribution by clinical presentation, the patients were suffering from Abdominal pain, Nausea-50(16.66%) Abdominal pain, Vomiting- 39(13%), Follow Up-60(20%), U. Abdominal pain-91(30.33%) U. Abdominal pain, Jaundice-53(17.66%) and U. Abdominal pain, Nausea-7(2.33%). According to the evaluation of CT scan, 189(63%) patients had fatty liver and 111(37%) patients had normal liver. Conclusion: This study investigated 63 % of the study patients were suffering from fatty liver diseases. Therefore, early detection may help them to medicate in a standard approach and to remove health effect in their day to day life.
},
 year = {2024}
}

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TY  - JOUR
T1  - Abdominal CT Scan Role out of Fatty Liver Disease: A Study in a Selected Hospital

AU  - Mohammad Salehin Abedin
AU  - Mohammad Mojibur Rahman
AU  - Sohel Rana Sumon
AU  - Abdur Rab Akanda
AU  - Marzuk Ahamed
AU  - Mohammad Motiur Rahman
AU  - Mohammad Ripon Sikder
Y1  - 2024/04/12
PY  - 2024
N1  - https://doi.org/10.11648/j.ijmi.20241202.12
DO  - 10.11648/j.ijmi.20241202.12
T2  - International Journal of Medical Imaging
JF  - International Journal of Medical Imaging
JO  - International Journal of Medical Imaging
SP  - 28
EP  - 33
PB  - Science Publishing Group
SN  - 2330-832X
UR  - https://doi.org/10.11648/j.ijmi.20241202.12
AB  - Introduction: Fatty liver is a hepatic manifestation that can occur as a result of many medical problems and the use of certain drugs. The global prevalence of fatty liver is on the rise due to the escalating obesity epidemic. CT scans have proven to be useful in noninvasively identifying the presence and determining the degree of liver fat. The aim of this study was to determine the efficacy of CT scan in the diagnosis of non-alcoholic fatty liver disease in individuals. Purpose: This study aimed to determine the effectiveness of CT scan in identifying non-alcoholic fatty liver disease in individuals. Methodology: The research was carried out in the Radiology and Imaging department of IbnSina Hospital in Dhaka, Bangladesh, spanning from January 2023 to June 2023. The study was conducted using a cross-sectional prospective design. This study encompassed a cohort of 300 individuals, all of whom were above the age of 18 and sought medical attention at the hospital for an abdominal CT scan. These individuals were suspected to have non-alcoholic fatty liver disease. The hepatic fat level in the patients was assessed using a typical CT scan methodology. The acquired data was analyzed using the Statistical Package for Social Sciences (SPSS) software, especially version 23.0. The study gained ethical clearance from the Ethics Committee of the School of Public Health & Life Science at the University of South Asia in Dhaka, Bangladesh. Findings: The study included a cumulative total of 300 individuals who were suspected to have the condition. According to age distribution, the maximum 203 (67.66%) of the patients were above 52 years and minimum 3(1%) were between (18-22) years, and followed by 44 (14.66%) (43-52) years, 36(12%), (33-42) years and 14(4.66%) (22-32) years. The majority of the patients were male 160(53.33%) and 140(46.66%) were female. Distribution by clinical presentation, the patients were suffering from Abdominal pain, Nausea-50(16.66%) Abdominal pain, Vomiting- 39(13%), Follow Up-60(20%), U. Abdominal pain-91(30.33%) U. Abdominal pain, Jaundice-53(17.66%) and U. Abdominal pain, Nausea-7(2.33%). According to the evaluation of CT scan, 189(63%) patients had fatty liver and 111(37%) patients had normal liver. Conclusion: This study investigated 63 % of the study patients were suffering from fatty liver diseases. Therefore, early detection may help them to medicate in a standard approach and to remove health effect in their day to day life.

VL  - 12
IS  - 2
ER  - 

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