• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

多期多排 CT 定性和定量成像特征与透明细胞肾细胞癌肿瘤分级的相关性。

Association of qualitative and quantitative imaging features on multiphasic multidetector CT with tumor grade in clear cell renal cell carcinoma.

机构信息

Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Ronald Reagan-UCLA Medical Center, 924 Westwood Boulevard, Suite 650, Los Angeles, CA, 90024, USA.

Department of Radiology, University of California, Davis, 4860 Y Street, Suite 3100, Sacramento, CA, 95817, USA.

出版信息

Abdom Radiol (NY). 2019 Jan;44(1):180-189. doi: 10.1007/s00261-018-1688-8.

DOI:10.1007/s00261-018-1688-8
PMID:29987358
Abstract

PURPOSE

The purpose of the study was to determine if enhancement features and qualitative imaging features on multiphasic multidetector computed tomography (MDCT) were associated with tumor grade in patients with clear cell renal cell carcinoma (ccRCC).

METHODS

In this retrospective, IRB approved, 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 in unenhanced (UN), corticomedullary (CM), nephrographic (NP), and excretory (EX) phases. Previously published quantitative (absolute peak lesion enhancement, absolute peak lesion enhancement relative to normal enhancing renal cortex, 3D whole lesion enhancement and the wash-in/wash-out of enhancement within the 3D whole lesion ROI) and qualitative (enhancement pattern; presence of necrosis; pattern of; tumor margin; tumor-parenchymal interface, tumor-parenchymal interaction; intratumoral vascularity; collecting system infiltration; renal vein invasion; and calcification) assessments were obtained for each lesion independently by two fellowship-trained genitourinary radiologists. Comparisons between variables included χ, ANOVA, and student t test. p values less than 0.05 were considered to be significant. Inter-reader agreement was obtained with the Gwet agreement coefficient (AC1) and standard error (SE) was reported.

RESULTS

No significant differences were observed between the LG and HG ccRCC cohorts with respect to absolute peak lesion enhancement and relative lesion enhancement ratio. There was a significant inverse correlation between low and high grade ccRCC and tumor enhancement the NP (71 HU vs. 54 HU, p < 0.001) and EX (52 HU vs. 39 HU, p < 0.001) phases using the 3D whole lesion ROI method. The percent wash-in of 3D enhancement from the UN to the CM phase was also significantly different between LG and HG ccRCCs (352% vs. 255%, p = 0.003). HG lesions showed significantly more calcification, necrosis, collecting system infiltration and ill-defined tumor margins (p < 0.05). Overall agreement between the two readers had a mean AC1 of 0.8172 (SE 0.0235).

CONCLUSIONS

Quantitatively, high grade ccRCC had significantly lower whole lesion enhancement in the NP and EX phases on MDCT. Qualitatively, high grade ccRCC were significantly more likely to be associated with calcifications, necrosis, collecting system infiltration, and an ill-defined tumor margin.

摘要

目的

本研究旨在确定多期多层 CT(MDCT)上的强化特征和定性成像特征是否与透明细胞肾细胞癌(ccRCC)患者的肿瘤分级相关。

方法

本回顾性研究经机构审查委员会批准,符合 HIPAA 规定,并获得了豁免知情同意的批准。127 例连续患者中,有 89 例低级别(LG)和 43 例高级别(HG)ccRCC 患者在未增强(UN)、皮质髓质(CM)、肾图(NP)和排泄期(EX)进行了术前四期 MDCT。由两位经过 fellowship培训的泌尿生殖系统放射科医生独立对每个病变进行了先前发表的定量(绝对病变增强峰值、绝对病变增强峰值与正常增强肾皮质的比值、3D 全病变增强以及 3D 全病变 ROI 内增强的“洗脱”)和定性(增强模式;坏死的存在;模式;肿瘤边缘;肿瘤-实质界面、肿瘤-实质相互作用;肿瘤内血管;集合系统浸润;肾静脉侵犯;和钙化)评估。变量之间的比较包括χ、ANOVA 和学生 t 检验。p 值小于 0.05 被认为具有统计学意义。使用 Gwet 一致性系数(AC1)获得了读者间的一致性,并报告了标准误差(SE)。

结果

在绝对病变增强峰值和相对病变增强比方面,LG 和 HG ccRCC 队列之间没有显著差异。低级别和高级别 ccRCC 与 NP(71 HU 与 54 HU,p < 0.001)和 EX(52 HU 与 39 HU,p < 0.001)期的肿瘤增强呈显著负相关使用 3D 全病变 ROI 方法。从 UN 到 CM 期的 3D 增强的“洗脱”百分比在 LG 和 HG ccRCC 之间也有显著差异(352%比 255%,p = 0.003)。HG 病变明显更易发生钙化、坏死、集合系统浸润和模糊的肿瘤边缘(p < 0.05)。两位读者之间的总体一致性平均 AC1 为 0.8172(SE 为 0.0235)。

结论

在 MDCT 上,定量上,高级别 ccRCC 在 NP 和 EX 期的全病变增强明显较低。定性上,高级别 ccRCC 更有可能与钙化、坏死、集合系统浸润和模糊的肿瘤边缘相关。

相似文献

1
Association of qualitative and quantitative imaging features on multiphasic multidetector CT with tumor grade in clear cell renal cell carcinoma.多期多排 CT 定性和定量成像特征与透明细胞肾细胞癌肿瘤分级的相关性。
Abdom Radiol (NY). 2019 Jan;44(1):180-189. doi: 10.1007/s00261-018-1688-8.
2
Association of tumor grade, enhancement on multiphasic CT and microvessel density in patients with clear cell renal cell carcinoma.多期 CT 增强与微血管密度在肾透明细胞癌患者肿瘤分级中的相关性研究。
Abdom Radiol (NY). 2020 Oct;45(10):3184-3192. doi: 10.1007/s00261-019-02271-1.
3
Quantitative computer-aided diagnostic algorithm for automated detection of peak lesion attenuation in differentiating clear cell from papillary and chromophobe renal cell carcinoma, oncocytoma, and fat-poor angiomyolipoma on multiphasic multidetector computed tomography.多期多层多排 CT 定量计算机辅助诊断算法在自动检测峰值病变衰减方面的应用,有助于鉴别透明细胞癌与乳头状癌、嫌色细胞癌、嗜酸细胞瘤、乏脂肪性血管平滑肌脂肪瘤。
Abdom Radiol (NY). 2017 Jul;42(7):1919-1928. doi: 10.1007/s00261-017-1095-6.
4
Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.深度学习和放射组学:Google TensorFlow™ Inception 在多期 CT 上对透明细胞肾细胞癌和嗜酸细胞瘤分类的应用。
Abdom Radiol (NY). 2019 Jun;44(6):2009-2020. doi: 10.1007/s00261-019-01929-0.
5
Clear cell renal cell carcinoma: multiphasic multidetector CT imaging features help predict genetic karyotypes.透明细胞肾细胞癌:多期多排 CT 成像特征有助于预测遗传核型。
Radiology. 2011 Dec;261(3):854-62. doi: 10.1148/radiol.11101508. Epub 2011 Oct 24.
6
Clear cell renal cell carcinoma: multiphasic MDCT enhancement can predict the loss of chromosome 8p.透明细胞肾细胞癌:多期多层螺旋CT增强扫描可预测8号染色体短臂缺失。
Abdom Imaging. 2014 Jun;39(3):543-9. doi: 10.1007/s00261-014-0092-2.
7
Clear cell renal cell carcinoma: discrimination from other renal cell carcinoma subtypes and oncocytoma at multiphasic multidetector CT.透明细胞肾细胞癌:多期多排 CT 鉴别诊断其他肾细胞癌亚型和嗜酸细胞瘤。
Radiology. 2013 May;267(2):444-53. doi: 10.1148/radiol.13112617. Epub 2013 Feb 4.
8
Qualitative and quantitative MDCT features for differentiating clear cell renal cell carcinoma from other solid renal cortical masses.用于鉴别透明细胞肾细胞癌与其他实性肾皮质肿块的MDCT定性和定量特征。
AJR Am J Roentgenol. 2014 Nov;203(5):W516-24. doi: 10.2214/AJR.14.12460.
9
Tumor grade estımatıon of clear cell and papıllary renal cell carcınomas usıng contrast-enhanced MDCT and FSE T2 weıghted MR ımagıng: radıology-pathology correlatıon.利用对比增强MDCT和FSE T2加权MRI图像对透明细胞和乳头状肾细胞癌进行肿瘤分级评估:放射学与病理学相关性研究
Radiol Med. 2021 Sep;126(9):1139-1148. doi: 10.1007/s11547-021-01350-y. Epub 2021 Jun 7.
10
Clear cell renal cell carcinoma: identifying PTEN expression on multiphasic MDCT.透明细胞肾细胞癌:在多期 MDCT 上识别 PTEN 表达。
Abdom Radiol (NY). 2018 Dec;43(12):3410-3417. doi: 10.1007/s00261-018-1672-3.

引用本文的文献

1
Preoperative computed tomography-based risk stratification model validation for postoperative pancreatic ductal adenocarcinoma recurrence.基于术前计算机断层扫描的风险分层模型对术后胰腺导管腺癌复发的验证。
World J Gastrointest Surg. 2025 Jul 27;17(7):107804. doi: 10.4240/wjgs.v17.i7.107804.
2
Development and validation of a CT algorithm based on intratumoral necrosis and tumor morphology to predict the nuclear grade of small (2-4 cm) solid clear cell renal cell carcinoma.基于瘤内坏死和肿瘤形态学的CT算法的开发与验证,用于预测小(2 - 4厘米)实性透明细胞肾细胞癌的核分级
BMC Med Imaging. 2025 Jun 5;25(1):207. doi: 10.1186/s12880-025-01741-x.
3
Machine learning-based multiparametric MRI radiomics nomogram for predicting WHO/ISUP nuclear grading of clear cell renal cell carcinoma.
基于机器学习的多参数MRI影像组学列线图预测透明细胞肾细胞癌的WHO/ISUP核分级
Front Oncol. 2024 Nov 7;14:1467775. doi: 10.3389/fonc.2024.1467775. eCollection 2024.
4
Preoperative prediction of renal fibrous capsule invasion in clear cell renal cell carcinoma using CT-based radiomics model.基于 CT 影像组学模型预测透明细胞肾细胞癌肾纤维囊侵犯的术前预测。
Br J Radiol. 2024 Sep 1;97(1161):1557-1567. doi: 10.1093/bjr/tqae122.
5
The kidney imaging surveillance scoring system (KISSS): using qualitative MRI features to predict growth rate of renal tumors in patients with von-Hippel Lindau (VHL) syndrome.肾脏影像监测评分系统(KISSS):利用 MRI 定性特征预测 von-Hippel Lindau(VHL)综合征患者肾肿瘤的生长速度。
Abdom Radiol (NY). 2024 Feb;49(2):542-550. doi: 10.1007/s00261-023-04087-6. Epub 2023 Nov 27.
6
Multi-phase-combined CECT radiomics models for Fuhrman grade prediction of clear cell renal cell carcinoma.用于透明细胞肾细胞癌Fuhrman分级预测的多期联合CT增强扫描影像组学模型
Front Oncol. 2023 Aug 23;13:1167328. doi: 10.3389/fonc.2023.1167328. eCollection 2023.
7
CT-based transformer model for non-invasively predicting the Fuhrman nuclear grade of clear cell renal cell carcinoma.基于CT的变压器模型用于无创预测透明细胞肾细胞癌的富尔曼核分级
Front Oncol. 2022 Sep 28;12:961779. doi: 10.3389/fonc.2022.961779. eCollection 2022.
8
A CT-Based Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperatively Predicting WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma.基于CT的影像组学列线图结合临床放射学特征用于术前预测透明细胞肾细胞癌的WHO/ISUP分级
Front Oncol. 2021 Dec 3;11:712554. doi: 10.3389/fonc.2021.712554. eCollection 2021.
9
Clinicopathological and radiological significance of the collateral vessels of renal cell carcinoma on preoperative computed tomography.术前 CT 中肾癌侧支循环的临床病理及影像学意义。
Sci Rep. 2021 Mar 4;11(1):5187. doi: 10.1038/s41598-021-84631-w.
10
Differentiation of Clear Cell Renal Cell Carcinoma from other Renal Cell Carcinoma Subtypes and Benign Oncocytoma Using Quantitative MDCT Enhancement Parameters.利用定量多排螺旋CT增强参数鉴别透明细胞肾细胞癌与其他肾细胞癌亚型及良性嗜酸细胞瘤
Medicina (Kaunas). 2020 Oct 28;56(11):569. doi: 10.3390/medicina56110569.