Computed tomography-based measurements of normative liver and spleen volumes in children

被引:3
作者
Alves, Vinicius de Padua V. [1 ]
Dillman, Jonathan R. [1 ,2 ]
Somasundaram, Elanchezhian [1 ]
Taylor, Zachary P. [1 ]
Brady, Samuel L. [1 ,2 ]
Zhang, Bin [3 ,4 ]
Trout, Andrew T. [1 ,2 ,4 ]
机构
[1] Cincinnati Childrens Hosp Med Ctr, Dept Radiol, 3333 Burnet Ave,Kasota Bldg MLC 5031, Cincinnati, OH 45229 USA
[2] Univ Cincinnati, Coll Med, Dept Radiol, Cincinnati, OH 45221 USA
[3] Cincinnati Childrens Hosp Med Ctr, Div Biostat & Epidemiol, Cincinnati, OH USA
[4] Univ Cincinnati, Coll Med, Dept Pediat, Cincinnati, OH 45221 USA
关键词
Children; Computed tomography; Liver; Normative; Segmentation; Spleen; Volume; SPLENIC VOLUME; CT; POPULATION; FORMULA; VALUES; ADULTS; SIZE; US;
D O I
10.1007/s00247-022-05551-z
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
Background Quantification of organ size has utility in clinical care and research for diagnostics, prognostics and surgical planning. Volumetry is regarded as the best measure of organ size and change in size over time. Scarce reference values exist for liver and spleen volumes in healthy children. Objective To report liver and spleen volumes for a sample of children defined by manual segmentation of contrast-enhanced CT images with the goal of defining normal values and thresholds that might indicate disease. Materials and methods This retrospective study included clinically acquired contrast-enhanced CTs of the abdomen/pelvis for children and adolescents imaged between January 2018 and July 2021. Liver and spleen volumes were derived through manual segmentation of CTs reconstructed at 2.5-, 3- or 5-mm slice thickness. A subset of images (5%, n=16) was also segmented using 0.5-mm slice thickness reconstructions to define agreement based on image slice thickness. We used Pearson correlation and multivariable regression to assess associations between organ volumes and patient characteristics. We generated reference intervals for the 5th, 25th, 50th (median), 75th and 95th percentiles for organ volumes as a function of age and weight using quantile regression models. Finally, we calculated Bland-Altman plots and intraclass correlation coefficients (ICC) to quantify agreement. Results We included a total of 320 children (mean age +/- standard deviation [SD] = 9 +/- 4.6 years; mean weight 38.1 +/- 18.8 kg; 160 female). Liver volume ranged from 340-2,002 mL, and spleen volume ranged from 28-480 mL. Patient weight (kg) (beta=12.5), age (months) (beta=1.7) and sex (female) (beta = -35.3) were independent predictors of liver volume, whereas patient weight (kg) (beta=2.4) and age (months) (beta=0.3) were independent predictors of spleen volume. There was excellent absolute agreement (ICC=0.99) and minimal absolute difference (4 mL) in organ volumes based on reconstructed slice thickness. Conclusion We report reference liver and spleen volumes for children without liver or spleen disease. These results provide reference ranges and potential thresholds to identify liver and spleen size abnormalities that might reflect disease in children.
引用
收藏
页码:378 / 386
页数:9
相关论文
共 50 条
  • [31] Computed tomography-based angle measurements of the sagittal capitulum and trochlea position in relation to the humeral shaft
    Przyklenk, Axel
    Hackl, Michael
    Iuga, Andra-Iza
    Leschinger, Tim
    Maintz, David
    Harbrecht, Andreas
    Mueller, Lars Peter
    Wegmann, Kilian
    SURGICAL AND RADIOLOGIC ANATOMY, 2023, 45 (05) : 571 - 580
  • [32] A computed tomography-based morphometric study of the styloid process
    Baykan, A. H.
    Dogan, Z.
    Ozcan, G.
    FOLIA MORPHOLOGICA, 2020, 79 (01) : 120 - 126
  • [33] Computed tomography-based angle measurements of the sagittal capitulum and trochlea position in relation to the humeral shaft
    Axel Przyklenk
    Michael Hackl
    Andra-Iza Iuga
    Tim Leschinger
    David Maintz
    Andreas Harbrecht
    Lars Peter Müller
    Kilian Wegmann
    Surgical and Radiologic Anatomy, 2023, 45 : 571 - 580
  • [34] Body Composition of Infants With Biliary Atresia: Anthropometric Measurements and Computed Tomography-based Body Metrics
    Grutters, L. Agnes
    Pennings, Jan Pieter
    Bruggink, Janneke L. M.
    Viddeleer, Alain R.
    Verkade, Henkjan J.
    de Kleine, Ruben H. J.
    de Haas, Robbert J.
    JOURNAL OF PEDIATRIC GASTROENTEROLOGY AND NUTRITION, 2020, 71 (04) : 440 - 445
  • [35] Computed tomography measurements of the normal and the pathologic cochlea in children
    Teissier, Natacha
    Van Den Abbeele, Thierry
    Sebag, Guy
    Elmaleh-Berges, Monique
    PEDIATRIC RADIOLOGY, 2010, 40 (03) : 275 - 283
  • [36] Three-dimensional Analysis of Computed Tomography-Based Navigation System for Total Knee Arthroplasty The Accuracy of Computed Tomography-Based Navigation System
    Mizu-uchi, Hideki
    Matsuda, Shuichi
    Miura, Hiromasa
    Higaki, Hidehiko
    Okazaki, Ken
    Iwamoto, Yukihide
    JOURNAL OF ARTHROPLASTY, 2009, 24 (07) : 1103 - 1110
  • [37] Computed Tomography-Based Morphometric Analysis of Extended Strip Craniectomy for Sagittal Synostosis
    Seruya, Mitchel
    Tran, Jenny
    Kumar, Samintharaj
    Forrest, Christopher R.
    Chong, David K.
    JOURNAL OF CRANIOFACIAL SURGERY, 2014, 25 (01) : 42 - 47
  • [38] Discrimination of Liver Metastases of Digestive System Neuroendocrine Tumors From Neuroendocrine Carcinoma by Computed Tomography-Based Radiomics Analysis
    Gu, Xiao-Lei
    Cui, Yong
    Zhu, Hai-Tao
    Li, Xiao-Ting
    Pei, Xiang
    He, Xiao-Xiao
    Yang, Li
    Lu, Ming
    Li, Zhong-Wu
    Sun, Ying-Shi
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2023, 47 (03) : 361 - 368
  • [39] Computed tomography-based radiomics for identifying pulmonary cryptococcosis mimicking lung cancer
    Zhang, Yongchang
    Chu, Zhigang
    Yu, Jianqun
    Chen, Xiaoyi
    Liu, Jing
    Xu, Jingxu
    Huang, Chencui
    Peng, Liqing
    MEDICAL PHYSICS, 2022, 49 (09) : 5943 - 5952
  • [40] Anterior Transarticular Crossing Screw Placement for Atlantoaxial Instability in Children: Computed Tomography-Based Study
    Liu, Qi
    Lin, Junyu
    Yin, Yongjie
    Liu, Yapu
    Huang, Zucheng
    Liu, Junhao
    Li, Ruoyao
    Ji, Wei
    WORLD NEUROSURGERY, 2022, 161 : E192 - E198