Document Detail


Wash-out of Hepatocellular Carcinoma: Quantitative Region of Interest Analysis on CT.
MedLine Citation:
PMID:  21779615     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Introduction: This study aims to determine if the quantitative method of region-of-interest (ROI) analysis of lesion attenuation on CT may be a useful adjunct to the conventional approach of diagnosis by visual assessment in assessing tracer wash-out in hepatocellular carcinomas. Materials and Methods: From a surgical database of 289 patients from 2 institutions, all patients with complete surgical, pathological and preoperative multiphasic CT scans available for review were selected. For each phase of scanning, HU readings of lesion obtained (Lesionarterial, LesionPV and Lesionequilibrium) were analysed using receiver operating curves (ROC) to determine the optimal method and cut-off value for quantitative assessment of tumour wash-out (Lesionarterial - equilibrium, LesionPV - equilibrium or Lesionpeak - equilibrium). Results: Ninety-four patients with one lesion each met the inclusion criteria. The area under the curve (AUC) values for Lesionarterial - equilibrium (0.941) was higher than the AUC for Lesionpv - equilibrium (0.484) and for Lesionpeak - equilibrium (0.667). Based on ROC analysis, a cut-off of 10HU value for Lesionarterial - equilibrium would yield sensitivity and specifi city of 91.5% and 80.9%, respectively. ROI analysis detected 9/21 (42.9%) of lesions missed by visual analysis. Combined ROI and visual analysis yields a sensitivity of 82/94 (87.2%) compared to 73/94 (77.7%) for visual analysis alone. Conclusion: Using a cut-off of 10 HU attenuation difference between the arterial and equilibrium phases is a simple and objective method that can be included as an adjunct to visual assessment to improve sensitivity for determining lesion wash-out on CT.
Authors:
Cher Heng Tan; Choon Hua Thng; Albert Sc Low; Veronique Km Tan; Septian Hartono; Tong San Koh; Brian Kp Goh; Peng Chung Cheow; Yu Meng Tan; Alexander Yf Chung; London L Ooi; Arul Earnest; Pierce Kh Chow
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Annals of the Academy of Medicine, Singapore     Volume:  40     ISSN:  0304-4602     ISO Abbreviation:  Ann. Acad. Med. Singap.     Publication Date:  2011 Jun 
Date Detail:
Created Date:  2011-07-22     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7503289     Medline TA:  Ann Acad Med Singapore     Country:  Singapore    
Other Details:
Languages:  eng     Pagination:  269-7     Citation Subset:  IM    
Affiliation:
Department of Oncologic Imaging, National Cancer Centre, Singapore.
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