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Evaluation of Various Methods of Liver Measurement in Comparison to Volumetric Segmentation Based on Computed Tomography.

Maciej CebulaAngelika BiernackaOskar BożekBartosz KokoszkaSylwia KazibutAnna KujszczykMonika Kulig-KuleszaSandra ModlińskaJakub KufelMichał AzierskiFilip SzydłoMateusz WinderJoanna Pilch-KowalczykKatarzyna Gruszczyńska
Published in: Journal of clinical medicine (2024)
Background : A reliable assessment of liver volume, necessary before transplantation, remains a challenge. Our work aimed to assess the differences in the evaluation and measurements of the liver between independent observers and compare different formulas calculating its volume in relation to volumetric segmentation. Methods : Eight researchers measured standard liver dimensions based on 105 abdominal computed tomography (CT) scans. Based on the results obtained, the volume of the liver was calculated using twelve different methods. An independent observer performed a volumetric segmentation of the livers based on the same CT examinations. Results : Significant differences were found between the formulas and in relation to volumetric segmentation, with the closest results obtained for the Heinemann et al. method. The measurements of individual observers differed significantly from one another. The observers also rated different numbers of livers as enlarged. Conclusions : Due to significant differences, despite its time-consuming nature, the use of volumetric liver segmentation in the daily assessment of liver volume seems to be the most accurate method.
Keyphrases
  • computed tomography
  • deep learning
  • convolutional neural network
  • positron emission tomography
  • dual energy
  • contrast enhanced
  • image quality
  • high resolution
  • machine learning