Assessment of Liver Diseases Using Triphasic Computed Tomography

Liver Diseases Using Triphasic Computed Tomography

Authors

  • Faiza Jabeen Gujranwala Institute of Medical and Emerging Sciences, Gujranwala, Pakistan
  • Izza Noor Gujranwala Institute of Medical and Emerging Sciences, Gujranwala, Pakistan
  • Quratulain Khalid Gujranwala Institute of Medical and Emerging Sciences, Gujranwala, Pakistan
  • Noor Fatima Gujranwala Institute of Medical and Emerging Sciences, Gujranwala, Pakistan

DOI:

https://doi.org/10.54393/pbmj.v5i11.824

Keywords:

Hepatocellular Carcinoma, Triphasic Computed Tomography, Liver Lesions, Cirrohsis, Portal Hypertension

Abstract

The triphasic spiral liver computed tomography (CT) method is a standard way to find and describe a wide range of benign and cancerous liver lesions. This helps bring down the rates of death and illness among people with liver disease. Objective: To evaluate liver diseases in real time using Triphasic imaging procedure. Methods: A cross-sectional study was carried out at Al-Amin Diagnostic Center, Chattha Hospital, and Gondal Hospital. Before Triphasic CT Scan, each patient completed a form of written informed consent.  A total of 65 people were examined. All diagnosed with various liver illnesses, as well as their findings were reviewed using  Triphasic liver CT Scan. The typical patient was 53.5 years old. Patients' eligibility was determined using inclusion criteria. Results: The majority of data population was male 39 (60%) and female 26 (40%). The majority of the findings included Portal vein thrombosis 6 (9.2%) liver lesion 5 (7.7%), ascitis 3 (4.6%), cirrhosis of liver 6 (9.2% ), Hepatocellular carcinoma 12 (18.46% ), Dilated CBD 4 (6.2% ), cholilithiasis 8 (12.3%), portal hypertension 5 (7.7%), hepatic Mets 6  (9.2%), Hepatic contusion 6 (9.2%), Right lobe nodules 3  (4.6%), segment 8 tumor  1 (1.5%). Conclusions: Computer tomography is a useful modality for identifying liver pathology. sixty-five patients in this study were aged 30-84 years (60%) male and (40%) female and were found to have a greater incidence of hepatic cellular carcinoma in the liver (12) (18.46%) and it is more affected in males than females

References

Osman HE. Evaluation of Diagnostic Performance of Computed Tomography in Diagnosis of Liver Diseases (Doctoral dissertation, Sudan University of Science and Technology). 2017. Available at: http://repository.sustech.edu/handle/123456789/15798

Osman HEA and Ayad CE. Diagnostic Performance of Imaging in Detection and Characterization of Liver Lesions. IOSR Journal of Dental and Medical Sciences. 2017 Jan; 16(01): 101–11. doi: 10.9790/0853-160102101111

Abu Elenin AK and Gerasimchuk N. Computed tomography (CT or CAT scan) of liver (Doctoral dissertation). 2014. Available at: https://repo.knmu.edu.ua/handle/123456789/6006

Burrill J, Dabbagh Z, Gollub F, Hamady M. Multidetector computed tomographic angiography of the cardiovascular system. Postgraduate Medical Journal. 2007 Nov; 83(985): 698–704. doi: 10.1136/pgmj.2007.061804

Ba-Ssalamah A. Focal Liver Lesions: Detection, Characterization, Ablation, R. Lencioni, D. Cioni, C. Bartolozzi, Springer Verlag. 2005: 403. ISBN: 3-540-64464-4. doi: 10.1016/j.ejrad.2005.05.002

Jung H. Basic physical principles and clinical applications of computed tomography. Progress in Medical Physics. 2021 Mar; 32(1): 1-7. doi: 10.14316/pmp.2021.32.1.1

Sahani DV and Kalva SP. Imaging the Liver. The Oncologist. 2004 Jul; 9(4): 385–97. doi:10.1634/theoncologist.9-4-385

Mohamed TM. Study of Liver Diseases using Triphasic Computed Tomography Scan Protocol (Doctoral dissertation, Sudan University of Science and Technology). 2018. Available at: http://repository.sustech.edu/handle/123456789/22296

Boas FE, Do B, Louie JD, Kothary N, Hwang GL, Kuo WT, et al. Optimal imaging surveillance schedules after liver-directed therapy for hepatocellular carcinoma. Journal of Vascular and Interventional Radiology. 2015 Jan; 26(1): 69-73. doi: 10.1016/j.jvir.2014.09.013

Pascual S, Miralles C, Bernabé JM, Irurzun J, Planells M. Surveillance and diagnosis of hepatocellular carcinoma: A systematic review. World Journal of Clinical Cases. 2019 Aug; 7(16): 2269-86. doi: 10.12998/wjcc.v7.i16.2269

Boas FE, Kamaya A, Do B, Desser TS, Beaulieu CF, Vasanawala SS, et al. Classification of hypervascular liver lesions based on hepatic artery and portal vein blood supply coefficients calculated from triphasic CT scans. Journal of Digital Imaging. 2015 Apr; 28(2): 213-23. doi: 10.1007/s10278-014-9725-9

Rengo M, Bellini D, De Cecco CN, Osimani M, Vecchietti F, Caruso D, et al. The optimal contrast media policy in CT of the liver. Part I: Technical notes. Acta radiologica. 2011 Jun; 52(5): 467-72. doi: 10.1258/ar.2011.100499

Kim SH, Kamaya A, Willmann JK. CT perfusion of the liver: principles and applications in oncology. Radiology. 2014 Aug; 272(2): 322. doi: 10.1148/radiol.14130091

Hennedige T, Venkatesh SK. Imaging of hepatocellular carcinoma: diagnosis, staging and treatment monitoring. Cancer Imaging: The Official Publication of The International Cancer Imaging Society. 2013 Feb; 12(3): 530-47. doi: 10.1102/1470-7330.2012.0044

Ahmed SA. A Study of Liver Disease Using Computed Tomography (Doctoral dissertation, Sudan University of Science & Technology). 2019. Available at: http://repository.sustech.edu/handle/123456789/24326

Ibrahim AK and Ayad CE. Triphasic computed tomography hounsfield and pattern in differentiation of focal liver lesions. IOSR Journal of Dental and Medical Sciences. 2017 Jan; 16(1): 120-5. doi: 10.9790/0853-160102120125

Van Leeuwen MS, Noordzij J, Feldberg MA, Hennipman AH, Doornewaard H. Focal liver lesions: characterization with triphasic spiral CT. Radiology. 1996 Nov; 201(2):327-36. doi: 10.1148/radiology.201.2.8888219.

Bialecki ES and Di Bisceglie AM. Diagnosis of hepatocellular carcinoma. Hpb. 2005 Mar; 7(1): 26-34. doi: 10.1080/13651820410024049

Bonaldi VM, Bret PM, Reinhold C, Atri M. Helical CT of the liver: value of an early hepatic arterial phase. Radiology. 1995 Nov; 197(2): 357-63. doi: 10.1148/radiology.197.2.7480677

Soyer P, Sirol M, Fargeaudou Y, Duchat F, Hamzi L, Boudiaf M, et al. Differentiation between true focal liver lesions and pseudolesions in patients with fatty liver: evaluation of helical CT criteria. European Radiology. 2010 Jul; 20(7): 1726-37. doi: 10.1007/s00330-009-1708-8

Ismail KY. Study of The liver Diseases Using Computed Tomography in Sudanese Patients (Doctoral dissertation, Sudan University of Science and Technology). 2016. Available at: http://repository.sustech.edu/handle/123456789/25552

Karahan OI, Yikilmaz A, Isin S, Orhan S. Characterization of hepatocellular carcinomas with triphasic CT and correlation with histopathologic findings. Acta Radiologica. 2003 Nov; 44(6): 566-71. doi: 10.1080/02841850312331287839

Hafeez S, Alam MS, Sajjad Z, Khan ZA, Akhter W, Mubarak F. Triphasic computed tomography (CT) scan in focal tumoral liver lesions. Journal of the Pakistan Medical Association. 2011 Jun; 61(6): 571-5.

Torres WE, Whitmire LF, Gedgaudas-McClees K, Bernardino ME. Computed tomography of hepatic morphologic changes in cirrhosis of the liver. Journal of Computer Assisted Tomography. 1986 Jan; 10(1): 47-50. doi: 10.1097/00004728-198601000-0000

Downloads

Published

2022-11-30
CITATION
DOI: 10.54393/pbmj.v5i11.824
Published: 2022-11-30

How to Cite

Jabeen, F. ., Noor, I. ., Khalid , Q. ., & Fatima, N. . (2022). Assessment of Liver Diseases Using Triphasic Computed Tomography: Liver Diseases Using Triphasic Computed Tomography. Pakistan BioMedical Journal, 5(11), 02–07. https://doi.org/10.54393/pbmj.v5i11.824

Issue

Section

Original Article

Plaudit

Most read articles by the same author(s)