Small (< 4 cm) clear cell renal cell carcinoma: correlation between CT findings and histologic grade
- Authors
- Choi, Soo Yeon; Sung, Deuk Jae; Yang, Kyung Sook; Kim, Kyeong Ah; Yeom, Suk Keu; Sim, Ki Choon; Han, Na Yeon; Park, Beom Jin; Kim, Min Ju; Cho, Sung Bum; Lee, Jeong Hyeon
- Issue Date
- 6월-2016
- Publisher
- SPRINGER
- Keywords
- Multidetector computed tomography; Contrast media; Kidney neoplasms; Carcinoma, renal cell; Clear cell renal cell carcinoma
- Citation
- ABDOMINAL RADIOLOGY, v.41, no.6, pp.1160 - 1169
- Indexed
- SCIE
SCOPUS
- Journal Title
- ABDOMINAL RADIOLOGY
- Volume
- 41
- Number
- 6
- Start Page
- 1160
- End Page
- 1169
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/88438
- DOI
- 10.1007/s00261-016-0732-9
- ISSN
- 2366-004X
- Abstract
- To evaluate the correlation between CT findings and histologic grade of small clear cell renal cell carcinoma (ccRCC). CT scans of 101 patients with small ccRCC were reviewed independently by two radiologists for tumor size, shape, margin, encapsulation, enhancement pattern, and visual relative enhancement. Enhancement patterns were defined according to the percentage of uniform enhancement [pattern 1, homogeneous (a parts per thousand yen90%); pattern 2, relatively homogeneous (a parts per thousand yen75 and < 90%); and pattern 3, heterogeneous (< 75%)]. Quantitative parameters representing attenuation and degree of enhancement were calculated. Histologic grade was classified as low (Fuhrman grade I or II) and high (Fuhrman grade III or IV). CT imaging variables were analyzed using univariate and multivariate analyses. A total of 63 low-grade and 38 high-grade small ccRCCs were assessed. Low-grade tumors differed from high-grade tumors with respect to enhancement pattern 1 or 2 (p < 0.001 and p < 0.001), smaller size (p = 0.002 and p = 0.001), and lower attenuation on unenhanced scan (p < 0.001 and p = 0.008). In multivariate analysis, enhancement pattern 1 or 2 and low attenuation (a parts per thousand currency sign30 HU) were identified as independent predictors of low-grade ccRCC. Accuracy derived from logistic regression analysis was 79.2% for reader 1 and 70.3% for reader 2. CT imaging features including tumor attenuation and enhancement pattern can be useful to predict the biologic behavior of small ccRCC for adequate treatment strategy.
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Collections - College of Medicine > Department of Medical Science > 1. Journal Articles
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