Texture analysis of preoperative CT images for prediction of postoperative hepatic insufficiency: A preliminary study Journal Article


Authors: Simpson, A. L.; Adams, L. B.; Allen, P. J.; D'Angelica, M. I.; DeMatteo, R. P.; Fong, Y.; Kingham, T. P.; Leung, U.; Miga, M. I.; Parada, E. P.; Jarnagin, W. R.; Do, R. K. G.
Article Title: Texture analysis of preoperative CT images for prediction of postoperative hepatic insufficiency: A preliminary study
Abstract: Background Texture analysis is a promising method of analyzing imaging data to potentially enhance diagnostic capability. This approach involves automated measurement of pixel intensity variation that may offer further insight into disease progression than do standard imaging techniques alone. We postulated that postoperative liver insufficiency, a major source of morbidity and mortality, correlates with preoperative heterogeneous parenchymal enhancement that can be quantified with texture analysis of cross-sectional imaging. Study Design A retrospective case-matched study (waiver of informed consent and HIPAA authorization, approved by the Institutional Review Board) was performed comparing patients who underwent major hepatic resection and developed liver insufficiency (n = 12) with a matched group of patients with no postoperative liver insufficiency (n = 24) by procedure, remnant volume, and year of procedure. Texture analysis (with gray-level co-occurrence matrices) was used to quantify the heterogeneity of liver parenchyma on preoperative CT scans. Statistical significance was evaluated using Wilcoxon's signed rank and Pearson's chi-square tests. Results No statistically significant differences were found between study groups for preoperative patient demographics and clinical characteristics, with the exception of sex (p < 0.05). Two texture features differed significantly between the groups: correlation (linear dependency of gray levels on neighboring pixels) and entropy (randomness of brightness variation) (p < 0.05). Conclusions In this preliminary study, the texture of liver parenchyma on preoperative CT was significantly more varied, less symmetric, and less homogeneous in patients with postoperative liver insufficiency. Therefore, texture analysis has the potential to provide an additional means of preoperative risk stratification.
Journal Title: Journal of the American College of Surgeons
Volume: 220
Issue: 3
ISSN: 1072-7515
Publisher: Elsevier Science, Inc.  
Date Published: 2015-03-01
Start Page: 339
End Page: 346
Language: English
DOI: 10.1016/j.jamcollsurg.2014.11.027
PROVIDER: scopus
PMCID: PMC4336798
PUBMED: 25537305
DOI/URL:
Notes: Export Date: 2 March 2015 -- Source: Scopus
Altmetric
Citation Impact
MSK Authors
  1. Ronald P DeMatteo
    627 DeMatteo
  2. Peter Allen
    482 Allen
  3. William R Jarnagin
    654 Jarnagin
  4. Kinh Gian Do
    154 Do
  5. Yuman Fong
    772 Fong
  6. T Peter Kingham
    343 Kingham
  7. Amber L Simpson
    59 Simpson
  8. Lauryn Brittney Adams
    5 Adams
  9. Universe Yu Hang Leung
    12 Leung