Skip to main content
Log in

The feasibility of contrast-enhanced CT to identify the adhesive renal venous tumor thrombus of renal cell carcinoma

  • Oncology
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objective

To identify adhesive renal venous tumor thrombus (RVTT) of renal cell carcinoma (RCC) by contrast-enhancement CT (CECT).

Materials and methods

Our retrospective study included 53 patients who underwent preoperative CECT and pathologically confirmed RCC combined with RVTT. They were divided into two groups based on the intra-operative findings of RVTT adhesion to the venous wall, with 26 cases in the adhesive RVTT group (ARVTT) and 27 cases in the non-adhesive group (NRVTT). The location, maximum diameter (MD) and CT values of tumors, the maximum length (ML) and width (MW) of RVTT, and length of inferior vena cava tumor thrombus were compared between the two groups. The presence of renal venous wall involvement, renal venous wall inflammation, and enlarged retroperitoneal lymph node was compared between the two groups. A receiver operating characteristic curve was used to analyze the diagnostic performance.

Results

The MD of RCC and the ML and MW of the RVTT were all larger in the ARVTT group than in the NRVTT group (p = 0.042, p < 0.001, and p = 0.002). The proportion of renal vein wall involvement and renal vein wall inflammation were higher in the ARVTT group than in NRVTT groups (both p < 0.001). The multivariable model including ML and vascular wall inflammation to predict ARVTT could achieve the best diagnostic performance with the area under the curve, sensitivity, specificity, and accuracy of 0.91, 88.5%, 96.3%, and 92.5%, respectively.

Conclusion

The multivariable model acquired by CECT images could be used to predict RVTT adhesion.

Clinical relevance statement

For RCC patients with tumor thrombus, contrast-enhanced CT could noninvasively predict the adhesion of tumor thrombus, thus predicting the difficulty of surgery and contributing to the selection of an appropriate treatment plan.

Key Points

• The length and width of the tumor thrombus could be used to predict its adhesion to the vessel wall.

• Adhesion of the tumor thrombus can be reflected by inflammation of the renal vein wall.

• The multivariable model from CECT can well predict whether the tumor thrombus adhered to the vein wall.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Abbreviations

ARVTT:

Adhesive renal venous tumor thrombus

AUC:

Area under the curve

CECT:

Contrast-enhancement computed tomography

IVC:

Inferior vena cava

L-VCT:

Length of the tumor thrombus in the inferior vena cava

MD:

Maximum diameter

ML:

Maximum length

MW:

Maximum width

NRVTT:

Non-adhesive renal venous tumor thrombus

RCC:

Renal cell carcinoma

ROC:

Receiver operating characteristic

RVTT:

Renal venous tumor thrombus

VCT:

Tumor thrombus in the inferior vena cava

References

  1. Capitanio U, Bensalah K, Bex A et al (2019) Epidemiology of renal cell carcinoma. Eur Urol 75(1):74–84

    Article  PubMed  Google Scholar 

  2. Moch H, Cubilla AL, Humphrey PA, Reuter VE, Ulbright TM (2016) The 2016 WHO classification of tumours of the urinary system and male genital organs-part A: renal, penile, and testicular tumours. Eur Urol 70(1):93–105

    Article  PubMed  Google Scholar 

  3. Lardas M, Stewart F, Scrimgeour D et al (2016) Systematic review of surgical management of nonmetastatic renal cell carcinoma with vena caval thrombus. Eur Urol 70(2):265–280

    Article  PubMed  Google Scholar 

  4. Quencer KB, Friedman T, Sheth R, Oklu R (2017) Tumor thrombus: incidence, imaging, prognosis and treatment. Cardiovasc Diagn Ther 7(Suppl 3):S165–S177

    Article  PubMed  PubMed Central  Google Scholar 

  5. Karaosmanoglu AD, Onur MR, Uysal A, Akata D, Ozmen MN, Karcaaltincaba M (2020) Tumor in the veins: an abdominal perspective with an emphasis on CT and MR imaging. Insights Imaging 11(1):52

    Article  PubMed  PubMed Central  Google Scholar 

  6. González J, Gorin MA, Garcia-Roig M, Ciancio G (2014) Inferior vena cava resection and reconstruction: technical considerations in the surgical management of renal cell carcinoma with tumor thrombus. Urol Oncol 32(1):34.e19–26

    Article  PubMed  Google Scholar 

  7. Abaza R, Angell J (2013) Robotic partial nephrectomy for renal cell carcinomas with venous tumor thrombus. Urology 81(6):1362–1367

    Article  PubMed  Google Scholar 

  8. Shchukin D, Lisova G, Khareba G et al (2019) Nephron-sparing surgery in patients with renal cell carcinoma extending to the main renal vein: intrarenal and extrarenal thrombectomy. Georgian Med News 297:23–30

    Google Scholar 

  9. Marra G, Gontero P, Brattoli M et al (2018) Is imperative partial nephrectomy feasible for kidney cancer with venous thrombus involvement? Outcomes of 42 cases and matched pair analysis with a large radical nephrectomy cohort. Urol Oncol 36(7):339.e331-339.e338

    Article  Google Scholar 

  10. Kunath F, Schmidt S, Krabbe LM et al (2017) Partial nephrectomy versus radical nephrectomy for clinical localised renal masses. Cochrane Database Syst Rev 5(5):Cd012045

    PubMed  Google Scholar 

  11. Scosyrev E, Messing EM, Sylvester R, Campbell S, Van Poppel H (2014) Renal function after nephron-sparing surgery versus radical nephrectomy: results from EORTC randomized trial 30904. Eur Urol 65(2):372–377

    Article  PubMed  Google Scholar 

  12. Li M, Cheng L, Zhang H et al (2020) Laparoscopic and robotic-assisted partial nephrectomy: an overview of hot issues. Urol Int 104(9–10):669–677

    Article  PubMed  Google Scholar 

  13. Chang KD, Abdel Raheem A, Kim KH et al (2018) Functional and oncological outcomes of open, laparoscopic and robot-assisted partial nephrectomy: a multicentre comparative matched-pair analyses with a median of 5 years’ follow-up. BJU Int 122(4):618–626

    Article  PubMed  Google Scholar 

  14. Liu Z, Tang S, Tian X et al (2020) Laparoscopic conversion to open surgery in radical nephrectomy and tumor thrombectomy: causal analysis, clinical characteristics, and treatment strategies. BMC Surg 20(1):185

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Tian X, Hong P, Liu Z et al (2020) En bloc retroperitoneal laparoscopic radical nephrectomy with inferior vena cava thrombectomy for renal cell carcinoma with level 0 to II venous tumor thrombus: a single-center experience. Cancer 126(Suppl 9):2073–2078

    Article  PubMed  Google Scholar 

  16. Psutka SP, Boorjian SA, Thompson RH et al (2015) Clinical and radiographic predictors of the need for inferior vena cava resection during nephrectomy for patients with renal cell carcinoma and caval tumour thrombus. BJU Int 116(3):388–396

    Article  PubMed  Google Scholar 

  17. Li QY, Li N, Huang QB et al (2019) Contrast-enhanced ultrasound in detecting wall invasion and differentiating bland from tumor thrombus during robot-assisted inferior vena cava thrombectomy for renal cell carcinoma. Cancer Imaging 19(1):79

    Article  PubMed  PubMed Central  Google Scholar 

  18. Adams LC, Ralla B, Bender YY et al (2018) Renal cell carcinoma with venous extension: prediction of inferior vena cava wall invasion by MRI. Cancer Imaging 18(1):17

    Article  PubMed  PubMed Central  Google Scholar 

  19. Wu K, Wu P, Yang K et al (2022) A comprehensive texture feature analysis framework of renal cell carcinoma: pathological, prognostic, and genomic evaluation based on CT images. Eur Radiol 32(4):2255–2265

    Article  CAS  PubMed  Google Scholar 

  20. Demirjian NL, Varghese BA, Cen SY et al (2022) CT-based radiomics stratification of tumor grade and TNM stage of clear cell renal cell carcinoma. Eur Radiol 32(4):2552–2563

    Article  PubMed  Google Scholar 

  21. Zheng Z, Chen Z, Xie Y, Zhong Q, Xie W (2021) Development and validation of a CT-based nomogram for preoperative prediction of clear cell renal cell carcinoma grades. Eur Radiol 31(8):6078–6086

    Article  PubMed  Google Scholar 

  22. Wang BS, Li YZ, Fang YY, Zhang SD, Ma LL (2020) Imaging predictors for assessment of inferior vena cava wall invasion in patients with renal cell carcinoma and inferior vena cava tumor thrombus: a retrospective study. Chin Med J (Engl) 133(17):2078–2083

    Article  PubMed  Google Scholar 

  23. Alayed A, Krishna S, Breau RH et al (2019) Diagnostic accuracy of MRI for detecting inferior vena cava wall invasion in renal cell carcinoma tumor thrombus using quantitative and subjective analysis. AJR Am J Roentgenol 212(3):562–569

    Article  PubMed  Google Scholar 

  24. Narváez J, Narváez JA, Nolla JM, Sirvent E, Reina D, Valverde J (2005) Giant cell arteritis and polymyalgia rheumatica: usefulness of vascular magnetic resonance imaging studies in the diagnosis of aortitis. Rheumatology (Oxford) 44(4):479–483

    Article  PubMed  Google Scholar 

  25. Blute ML, Leibovich BC, Lohse CM, Cheville JC, Zincke H (2004) The Mayo Clinic experience with surgical management, complications and outcome for patients with renal cell carcinoma and venous tumour thrombus. BJU Int 94(1):33–41

    Article  PubMed  Google Scholar 

  26. Kulkarni J, Jadhav Y, Valsangkar RS (2012) IVC thrombectomy in renal cell carcinoma-analysis of out come data of 100 patients and review of literature. Indian J Surg Oncol 3(2):107–113

    Article  CAS  PubMed  Google Scholar 

  27. Liu Z, Li L, Hong P et al (2020) A predictive model for tumor invasion of the inferior vena cava wall using multimodal imaging in patients with renal cell carcinoma and inferior vena cava tumor thrombus. Biomed Res Int 2020:9530618

    PubMed  PubMed Central  Google Scholar 

  28. Oikonomou EK, Marwan M, Desai MY et al (2018) Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome data. Lancet 392(10151):929–939

    Article  PubMed  PubMed Central  Google Scholar 

  29. Channon K M, Newby D E, Nicol E D, Deanfield J (2022) Cardiovascular computed tomography imaging for coronary artery disease risk: plaque, flow and fat. Heart 108:1510–1515

Download references

Funding

This work was supported by the National High Level Hospital Clinical Research Funding (grant no.2022-PUMCH-A-033), the CAMS Innovation Fund for Medical Sciences (grant no.2022-I2M-C&T-B-019), the National High Level Hospital Clinical Research Funding (grant no.2022-PUMCH-B-069), the National High Level Hospital Clinical Research Funding (grant no.2022-PUMCH-A-035), the National Natural Science Foundation of China (grant no.81901742), the National Natural Science Foundation of China (grant no. 91859119), and the 2021 Key clinical Specialty Program of Beijing, Beijing Municipal Key Clinical.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Zhengyu Jin or Hao Sun.

Ethics declarations

Guarantor

The scientific guarantor of this publication is Hao Sun.

Conflict of interest

The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was waived by the Institutional Review Board.

Ethical approval

Institutional Review Board approval was obtained.

Study subjects or cohorts overlap

Study subjects in this research have not been previously reported.

Methodology

• retrospective

• diagnostic or prognostic study

• performed at one institution

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, X., Zhang, J., Zhang, G. et al. The feasibility of contrast-enhanced CT to identify the adhesive renal venous tumor thrombus of renal cell carcinoma. Eur Radiol 33, 7429–7437 (2023). https://doi.org/10.1007/s00330-023-09776-w

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-023-09776-w

Keywords

Navigation