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Lesion Size and Iodine Quantification to Distinguish Low-Grade From High-Grade Clear Cell Renal Cell Carcinoma Using Dual-Energy Spectral Computed Tomography.
- Source :
-
Journal of computer assisted tomography [J Comput Assist Tomogr] 2016 Sep-Oct; Vol. 40 (5), pp. 673-7. - Publication Year :
- 2016
-
Abstract
- Objective: The aim of this study was to assess the utility of lesion size and iodine quantification using dual-energy spectral computed tomography to distinguish between low-grade and high-grade clear cell renal cell carcinomas (ccRCCs).<br />Methods: Spectral parameters of 75 patients with pathologically proven ccRCCs who underwent preoperative dual-energy spectral computed tomography examinations were divided into low-grade and high-grade groups. Independent sample t test, receiver operating characteristic curve analysis, and Spearman rank correlation were analyzed.<br />Results: The lesion size was significantly smaller, and spectral parameters were significantly higher in the low-grade ccRCC. The significant correlation (r = -0.412, P < 0.001) by the Spearman rank correlation was between the normalized iodine concentration and lesion size. The receiver operating characteristic analysis demonstrated that 0.710 was the optimal cutoff value, which yielded the following: sensitivity, 97.6%; specificity, 97.1%; positive predictive value, 97.6%; negative predictive value, 97.1%; and accuracy, 97.3%.<br />Conclusions: Iodine quantification can play an important role in distinguishing low-grade from high-grade ccRCC.
- Subjects :
- Adult
Aged
Carcinoma, Renal Cell diagnostic imaging
Computer Simulation
Contrast Media pharmacokinetics
Female
Humans
Image Enhancement methods
Image Interpretation, Computer-Assisted methods
Kidney Neoplasms diagnostic imaging
Male
Middle Aged
Models, Biological
Neoplasm Grading
Radiography, Dual-Energy Scanned Projection methods
Reproducibility of Results
Sensitivity and Specificity
Tumor Burden
Carcinoma, Renal Cell metabolism
Carcinoma, Renal Cell pathology
Iodine pharmacokinetics
Kidney Neoplasms metabolism
Kidney Neoplasms pathology
Tomography, X-Ray Computed methods
Subjects
Details
- Language :
- English
- ISSN :
- 1532-3145
- Volume :
- 40
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Journal of computer assisted tomography
- Publication Type :
- Academic Journal
- Accession number :
- 27224223
- Full Text :
- https://doi.org/10.1097/RCT.0000000000000441