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Hepatocellular Carcinoma Histological Grade Prediction
- Source :
- Journal of Computer Assisted Tomography. 40:463-470
- Publication Year :
- 2016
- Publisher :
- Ovid Technologies (Wolters Kluwer Health), 2016.
-
Abstract
- OBJECTIVES This study aimed to compare quantitative assessments for predicting hepatocellular carcinoma (HCC) histological grades using magnetic resonance imaging. METHODS We retrospectively reviewed magnetic resonance imaging data from 49 patients with 54 surgically resected HCCs (11 well differentiated, 29 moderately differentiated, and 14 poorly differentiated). We measured the lesion-to-liver relative contrast ratio (RCR) on diffusion-weighted (DW), T2-weighted (T2W), and ethoxybenzyl-hepatobiliary images. We also evaluated contrast-to-noise ratio (CNR) on DW images, and the apparent diffusion coefficient. We compared the feasibility of these parameters in predicting HCC histological grade. RESULTS Areas under the receiver operating characteristic curves of both the DW RCR (97%) and DW CNR (97%) were significantly greater compared with those of the apparent diffusion coefficient (79%), T2W RCR (81%), and ethoxybenzyl-hepatobiliary RCR (80%) (P < 0.05, 0.001, and 0.001, respectively). CONCLUSIONS The DW RCR and DW CNR might represent accurate predictors of HCC histological grade.
- Subjects :
- Adult
Gadolinium DTPA
Male
Pathology
medicine.medical_specialty
Carcinoma, Hepatocellular
Contrast Media
Sensitivity and Specificity
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Image Interpretation, Computer-Assisted
medicine
Carcinoma
Humans
Effective diffusion coefficient
Radiology, Nuclear Medicine and imaging
Aged
Aged, 80 and over
medicine.diagnostic_test
Receiver operating characteristic
business.industry
Liver Neoplasms
Reproducibility of Results
Magnetic resonance imaging
Middle Aged
Prognosis
medicine.disease
Diffusion Magnetic Resonance Imaging
030220 oncology & carcinogenesis
Hepatocellular carcinoma
Hepatobiliary phase
Feasibility Studies
Female
Histological grades
Neoplasm Grading
Nuclear medicine
business
T2 weighted
Subjects
Details
- ISSN :
- 03638715
- Volume :
- 40
- Database :
- OpenAIRE
- Journal :
- Journal of Computer Assisted Tomography
- Accession number :
- edsair.doi.dedup.....75ab1d66d9e4fb373a4c5b69e4ccde2f
- Full Text :
- https://doi.org/10.1097/rct.0000000000000367