Association of tumor grade, enhancement on multiphasic CT and microvessel density in patients with clear cell renal cell carcinoma

被引:17
作者
Coy, Heidi [1 ]
Young, Jonathan R. [2 ]
Pantuck, Allan J. [3 ]
Douek, Michael L. [1 ]
Sisk, Anthony [4 ]
Magyar, Clara [4 ]
Brown, Matthew S. [5 ]
Sayre, James [6 ]
Raman, Steven S. [7 ]
机构
[1] Univ Calif Los Angeles, Dept Radiol Sci, David Geffen Sch Med, Ronald Reagan UCLA Med Ctr, 924 Westwood Blvd,Suite 615, Los Angeles, CA 90024 USA
[2] City Hope Natl Med Ctr, Dept Radiol, 1500 East Duarte Rd, Duarte, CA 91010 USA
[3] Univ Calif Los Angeles, David Geffen Sch Med, Dept Urol, Ronald Reagan UCLA Med Ctr, 300 Stein Plaza,Room 346,BOX 957384, Los Angeles, CA 90095 USA
[4] Univ Calif Los Angeles, David Geffen Sch Med, Dept Pathol & Lab Med, 12-229 CHS,Box 957437, Los Angeles, CA 90095 USA
[5] Univ Calif Los Angeles, David Geffen Sch Med, Ctr Comp Vis & Imaging Biomarkers, Dept Radiol Sci, 924 Westwood Blvd,Suite 650, Los Angeles, CA 90024 USA
[6] Univ Calif Los Angeles, Sch Publ Heath, Dept Biostat, Room 51-253A CHS B3-116,Box 951772, Los Angeles, CA 90095 USA
[7] Univ Calif Los Angeles, David Geffen Sch Med, Ronald Reagan UCLA Med Ctr, Dept Radiol Sci, 757 Westwood Plaza,RRUMC 1621H,Box 957437, Los Angeles, CA 90095 USA
关键词
Clear cell RCC; Microvessel density; Tumor grade; Multiphasic CT; Angiogenesis; Radiomics; COMPUTED-TOMOGRAPHY; INTRATUMOR HETEROGENEITY; RADICAL NEPHRECTOMY; PREDICTION; VASCULARITY; ONCOCYTOMA; PERFUSION;
D O I
10.1007/s00261-019-02271-1
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose Clear cell renal cell carcinoma (ccRCC) comprises nearly 90% of all diagnosed RCC subtypes and has the worst prognosis and highest metastatic potential. The strongest prognostic factors for patients with ccRCC include histological subtype and Fuhrman grade, which are incorporated into prognostic models. Since ccRCC is a highly vascularized tumor, there may be differences in enhancement patterns on multidetector CT (MDCT) due to the hemodynamics and microvessel density (MVD) of the lesions. This may provide a noninvasive method to characterize incidentally detected low- and high-grade ccRCCs on MDCT. The purpose of our study was to determine the correlation between MDCT enhancement parameters, ccRCC MVD, and Fuhrman grade to determine its utility and value in assessing tumor vascularity and grade in vivo. Methods In this retrospective, HIPAA-compliant, institutional review board-approved study with waiver of informed consent, 127 consecutive patients with 89 low-grade (LG), and 43 high-grade (HG) ccRCCs underwent preoperative four-phase MDCT. A 3D volume of interest (VOI) was obtained for every tumor and absolute enhancement and the wash-in/wash-out of enhancement for each phase was assessed. Immunohistochemistry on resected specimens was used to quantify MVD. Linear regression and Pearson correlation were used to investigate the strength of the association between 3D VOI enhancement and MVD. Stepwise logistic regression analysis determined independent predictors of HG ccRCC. Cut-off values and odds Ratio (OR) with 95% CIs were reported. The clinical, radiomic, and pathologic features with the highest performance in the stepwise logistic regression analysis were evaluated using receiver operator characteristics (ROC) and area under the curve (AUC). Results Absolute enhancement in the nephrographic phase < 52.1 Hounsfield Units (HU) (HR 0.979, 95% CI 0.964-0.994, p value = 0.006), lesion size > 4.3 cm (HR 1.450, 95% CI 1.211-1.738, p value < 0.001), and an intratumoral MVD < 15% (HR 0.932, 95% CI 0.867-1.002, p value = 0.058) were independent predictors of HG ccRCC with an AUC of 0.818 (95% CI 0.725-0.911). HG ccRCCs had a significant association between 3D VOI enhancement and MVD in each post-contrast phase (r(2) = 0.238 to 0.455, p < 0.05). Conclusions Absolute enhancement of the entire lesion obtained from a 3D VOI in the nephrographic phase on preoperative MDCT can provide quantitative data that are a significant, independent predictor of a high-grade clear cell RCC and can be used to assess tumor vascularity and grade in vivo.
引用
收藏
页码:3184 / 3192
页数:9
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