Chinese Journal of Clinical Anatomy ›› 2023, Vol. 41 ›› Issue (1): 23-27.doi: 10.13418/j.issn.1001-165x.2023.1.05

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Study of accessory fissure of human liver based on CT images

He Xiangfa1, Qiu Yinru1, Wang Ru1, Ye Lili1, Liang Ming1, Pang Yu1, Pan Wei1, Liu Sirun2*    

  1. 1.Department of Radiology, Dongguan Kanghua Hospital, Dongguan 52300, China; 2. Department of Radiology, The First Affiliated Hospital of Jinan University, Guangzhou 510000, China
  • Received:2022-01-09 Online:2023-01-25 Published:2023-02-08

Abstract: Objective    To summarize and analyze the CT images of accessory fissure of liver, in order to improve the understanding of accessory fissure of liver and avoid misdiagnosis and surgical damage. Methods    One thousand four hundred and forty-nine cases of upper abdominal CT in Dongguan Kanghua Hospital from September to December 2020 were retrospectively analyzed. The detection rate and imaging manifestations of accessory fissure of liver were observed, and their distribution and morphology were recorded.    Results    A total of 205 cases of accessory fissure of liver were detected in 1449 cases, and the CT detection rate was 14.1% (205/1449), including 125 cases of male (61%) and 80 cases of female (39%). There was no statistical difference in the detection rate of accessory fissure of liver between different genders (c2=0.592, P[>]0.05). The highest incidence of accessory fissure was found in the lower segment of the right anterior lobe (55%). With the increasing of age, the number, length and width of accessory fissure of liver increased, with   statistical difference (P<0.05). The CT images of accessory fissure of liver showed wavy-type (24 cases), diaphragmatic muscular slip-type (5 cases), wedge-type (107 cases), groove-type (68 cases) and irregular type (1 case).    Conclusions    The accessory fissures of liver are widely distributed in human population. Multi-slice spiral CT can effectively observe the existence of accessory fissure of liver. With the understanding its morphology and distribution characteristics, we can reduce the misdiagnosis of accessory fissure of liver.

Key words: Computed tomography,  ,  , Accessory fissures of liver,  ,  , Liver

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