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
  • [11] Computed Tomography-Based Limb Volume Measurements for Isolated Limb Infusion in Melanoma
    Brys, Adam K.
    Bhatti, Lubna
    Bashir, Mustafa R.
    Jaffe, Tracy A.
    Beasley, Georgia M.
    Nath, Neel S.
    Salama, April K. S.
    Tyler, Douglas S.
    Mosca, Paul J.
    ANNALS OF SURGICAL ONCOLOGY, 2016, 23 (04) : 1090 - 1095
  • [12] Computed Tomography-Based Ventricular Volumes and Morphometric Parameters for Deciding the Treatment Strategy in Children with a Hypoplastic Left Ventricle: Preliminary Results
    Goo, Hyun Woo
    Park, Sang-Hyub
    KOREAN JOURNAL OF RADIOLOGY, 2018, 19 (06) : 1042 - 1052
  • [13] COMPUTED-TOMOGRAPHY FOR INJURIES OF THE LIVER AND SPLEEN
    SCHOPF, R
    FRETZ, C
    HAERTEL, M
    FORTSCHRITTE AUF DEM GEBIETE DER RONTGENSTRAHLEN UND DER NUKLEARMEDIZIN, 1982, 136 (06): : 681 - 684
  • [14] LIVER-SPLEEN COMPUTED-TOMOGRAPHY
    KAUFMAN, RA
    PEDIATRIC RADIOLOGY, 1983, 13 (03) : 151 - 153
  • [15] Computed Tomography-Based Habitat Analysis for Prognostic Stratification in Colorectal Liver Metastases
    Zhou, Chaoqun
    Xin, Hao
    Qian, Lihua
    Zhang, Yong
    Wang, Jing
    Luo, Junpeng
    CANCER INNOVATION, 2025, 4 (02):
  • [16] Computed tomography-based evaluation of segmental variation of liver density and its implications
    Siriwardana, Rohan Chaminda
    Sivasundaram, Thenuka
    Paranaheva, Lakmali
    Ediriweera, Dileepa Senajith
    INDIAN JOURNAL OF GASTROENTEROLOGY, 2020, 39 (01) : 60 - 65
  • [17] Normative Measurements of Extraocular Musculature by Multislice Computed Tomography
    Zhu-hua Zhang
    Yu Chen
    Yun Wang
    Wei Meng
    Hong-ying Fang
    Dong-dong Xu
    Zheng-yu Jin
    ChineseMedicalSciencesJournal, 2012, 27 (04) : 232 - 236
  • [18] Normative orbital measurements in an Australian cohort on computed tomography
    Rana, Khizar
    Juniat, Valerie
    Yong, Wen
    Patel, Sandy
    Selva, Dinesh
    ORBIT-THE INTERNATIONAL JOURNAL ON ORBITAL DISORDERS-OCULOPLASTIC AND LACRIMAL SURGERY, 2023, 42 (01): : 68 - 72
  • [19] Computed tomography-based modeling of structured polymers
    Department of Mechanical Engineering, Materials Technology Institute, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, Netherlands
    不详
    J Cell Plast, 1600, 2 (157-179):
  • [20] Computed Tomography-based Modeling of Structured Polymers
    Wismans, J. G. F.
    Van Dommelen, J. A. W.
    Govaert, L. E.
    Meijer, H. E. H.
    Van Rietbergen, B.
    JOURNAL OF CELLULAR PLASTICS, 2009, 45 (02) : 157 - 179