Correlation between 3D morphometric characteristics of kidney tumors and their histological structure
https://doi.org/10.17650/1726-9776-2023-19-2-17-28
Abstract
Aim. To assess the correlation between clinical characteristics (sex, age, and maximum tumor size), 3D morphometric characteristics of renal lesions obtained through processing of multispiral computed tomography data, and renal tumor histology.
Materials and methods. Evaluation of kidney tumor malignancy on the basis of comparative analysis of primarily morphometric characteristics of the lesion obtained through processing of multispiral computed tomography data and histological tumor structure is presented. Data of 308 patients (175 (56.8 %) males and 133 (43.2 %) females) with unilateral renal tumors were analyzed.
Results. Multivariable analysis showed that malignancy of kidney tumor is associated with sex (male), location in the middle segment, tumor size, tumor shape (spherical with conical base) (24.8 %), while mushroom-like lesion shape was more common in benign tumors (35.2 %). In univariate models, only two variables were statistically significant predictors: patient sex and tumor shape.
Conclusion. The developed logistic model based on analysis of such predictors as sex and kidney tumor shape has a high percentage (87.6 %) of correct predictions of tumor histological structure.
About the Authors
D. N. FievRussian Federation
Dmitriy Nikolaevich Fiev
Build. 1, 2 Bol’shaya Pirogovskaya St., Moscow 119435, Russia
Competing Interests:
нет
E. S. Sirota
Russian Federation
Build. 1, 2 Bol’shaya Pirogovskaya St., Moscow 119435, Russia
Competing Interests:
нет
V. V. Kozlov
Russian Federation
N.A. Semashko Department of Public Health and Healthcare
Build. 1, 2 Bol’shaya Pirogovskaya St., Moscow 119435, Russia
Competing Interests:
нет
A. V. Proskura
Russian Federation
Build. 1, 2 Bol’shaya Pirogovskaya St., Moscow 119435, Russia
Competing Interests:
нет
E. V. Shpot
Build. 1, 2 Bol’shaya Pirogovskaya St., Moscow 119435, Russia
Competing Interests:
нет
M. M. Chernenkiy
Russian Federation
Build. 1, 2 Bol’shaya Pirogovskaya St., Moscow 119435, Russia
Competing Interests:
нет
I. M. Chernenkiy
Russian Federation
Build. 1, 2 Bol’shaya Pirogovskaya St., Moscow 119435, Russia
Competing Interests:
нет
K. B. Puzakov
Russian Federation
Build. 1, 24 Petrovka St., Moscow 127051, Russia
Competing Interests:
нет
K. R. Azil’gareeva
Russian Federation
Build. 1, 2 Bol’shaya Pirogovskaya St., Moscow 119435, Russia
Competing Interests:
нет
Kh. M. Ismailov
Russian Federation
Build. 1, 2 Bol’shaya Pirogovskaya St., Moscow 119435, Russia
Competing Interests:
нет
D. V. Butnaru
Russian Federation
Build. 1, 2 Bol’shaya Pirogovskaya St., Moscow 119435, Russia
Competing Interests:
нет
A. Kutikov
United States
333 Cottman Avenue, Philadelphia, PA 19111 USA
Competing Interests:
нет
A. Z. Vinarov
Russian Federation
Build. 1, 2 Bol’shaya Pirogovskaya St., Moscow 119435, Russia
Competing Interests:
нет
References
1. Hindman N., Ngo L., Genega E.M. et al. Angiomyolipoma with minimal fat: Can it be differentiated from clear cell renal cell carcinoma by using standard MR techniques? Radiology 2012;265(2):468–77. DOI: 10.1148/radiol.12112087
2. Campbell S., Uzzo R.G., Allaf M.E. et al. Renal mass and localized renal cancer: AUA guideline. J Urol 2017;198(3):520–9. DOI: 10.1016/j.juro.2017.04.100
3. Wang H.K., Zhu Y., Yao X.D. et al. External validation of a nomogram using RENAL nephrometry score to predict high grade renal cell carcinoma. J Urol 2012;187(5):1555–60. DOI: 10.1016/j.juro.2011.12.099
4. Richard P.O., Jewett M.A.S., Bhatt J.R. et al. Renal Tumor biopsy for small renal masses: a single-center 13-year experience. Eur Urol 2015;68(6):1007–13. DOI: 10.1016/j.eururo.2015.04.004
5. Marconi L., Dabestani S., Lam T.B. et al. Systematic review and meta-analysis of diagnostic accuracy of percutaneous renal tumour biopsy. Eur Urol 2016;69(4):660–73. DOI: 10.1016/j.eururo.2015.07.072
6. Shannon B.A., Cohen R.J., de Bruto H. et al. The value of preoperative needle core biopsy for diagnosing benign lesions among
7. small, incidentally detected renal masses. J Urol 2008;180:1257–61. DOI: 10.1016/j.juro.2008.06.030
8. Veltri A., Garetto I., Tosetti I. et al. Diagnostic accuracy and clinical impact of imaging-guided needle biopsy of renal masses. Retrospective analysis on 150 cases. Eur Radiol 2011;21(2):393–401. DOI: 10.1007/s00330-010-1938-9
9. Abel E.J., Culp S.H., Matin S.F. et al. Percutaneous biopsy of primary tumor in metastatic renal cell carcinoma to predict high risk pathological features: Comparison with nephrectomy assessment. J Urol 2010;184(5):1877–81. DOI: 10.1016/j.juro.2010.06.105
10. Leveridge M.J., Finelli A., Kachura J.R. et al. Outcomes of small renal mass needle core biopsy, nondiagnostic percutaneous biopsy, and the role of repeat biopsy. Eur Urol 2011;60(3):578–84. DOI: 10.1016/j.eururo.2011.06.021
11. Breda A., Treat E.G., Haft-Candell L. et al. Comparison of accuracy of 14-, 18- and 20-G needles in ex-vivo renal mass biopsy: a prospective, blinded study. BJU Int 2010;105(7):940–5. DOI: 10.1111/j.1464-410X.2009.08989.x
12. Motzer R.J., Barrios C.H., Kim T.M. et al. Phase II randomized trial comparing sequential first-line everolimus and second-line sunitinib versus first-line sunitinib and second-line everolimus in patients with metastatic renal cell carcinoma. J Clin Oncol 2014;32(25):2765–72. DOI: 10.1200/JCO.2013.54.6911
13. Patel H.D., Johnson M.H., Pierorazio P.M. et al. Diagnostic accuracy and risks of biopsy in the diagnosis of a renal mass suspicious for localized renal cell carcinoma: systematic review of the literature. J Urol 2016;195(5):1340–7. DOI: 10.1016/j.juro.2015.11.029
14. Moch H., Amin M.B., Berney D.M. et al. The 2022 World Health Organization classification of tumours of the urinary system and male genital organs – part A: renal, penile, and testicular tumours. Eur Urol 2022;82(5):458–68. DOI: 10.1016/j.eururo.2022.06.016
15. Canvasser N.E., Kay F.U., Xi Y. et al. Diagnostic accuracy of multiparametric magnetic resonance imaging to identify clear cell renal cell carcinoma in cT1a renal masses. J Urol 2017;198(4):780–6. DOI: 10.1016/j.juro.2017.04.089
16. AUA 2019: multiparametric magnetic resonance imaging identifies clear cell renal cell carcinoma with greater accuracy in higher stage lesions. Available at: https://www.urotoday.com/conference-highlights/aua-2019-annual-meeting/aua-2019-renal-cancer/112438-aua-2019-multiparametric-magnetic-resonance-imaging-identifies-clear-cell-renal-cell-carcinoma-with-greater-accuracy-inhigher-stage-lesions.html (accessed 26 May 2020).
17. Kim J.H., Sun H.Y., Hwang J. et al. Diagnostic accuracy of contrast-enhanced computed tomography and contrast-enhanced magnetic resonance imaging of small renal masses in real practice: Sensitivity and specificity according to subjective radiologic interpretation. World J Surg Oncol 2016;14(1):260. DOI: 10.1186/s12957-016-1017-z
18. Kay F.U., Canvasser N.E., Xi Y. et al. Diagnostic performance and interreader agreement of a standardized MR imaging approach in the prediction of small renal mass histology. Radiology 2018;287(2):543–53. DOI: 10.1148/radiol.2018171557
19. Johnson B.A., Kim S., Steinberg R.L. et al. Diagnostic performance of prospectively assigned clear cell Likelihood scores (ccLS) in small renal masses at multiparametric magnetic resonance imaging. Urol Oncol 2019;37(12):941–6. DOI: 10.1016/j.urolonc.2019.07.023
20. Cornelis F., Tricaud E., Lasserre A.S. et al. Routinely performed multiparametric magnetic resonance imaging helps to differentiate common subtypes of renal tumours. Eur Radiol 2014;24(5):1068–80. DOI: 10.1007/s00330-014-3107-z
21. Hötker A.M., Mazaheri Y., Wibmer A. et al. Differentiation of clear cell renal cell carcinoma from other renal cortical tumors by use of a quantitative multiparametric MRI approach. AJR Am J Roentgenol 2017;208(3):W85–91. DOI: 10.2214/AJR.16.16652
22. Galmiche C., Bernhard J.C., Yacoub M. et al. Is multiparametric MRI useful for differentiating oncocytomas from chromophobe renal cell carcinomas? Am J Roentgenol 2017;208(2):343–50. DOI: 10.2214/AJR.16.16832
23. Park J.J., Kim C.K. Small (<4 cm) renal tumors with predominantly low signal intensity on T2-weighted images: differentiation of minimal-fat angiomyolipoma from renal cell carcinoma. Am J Roentgenol 2017;208(1):124–30. DOI: 10.2214/AJR.16.16102
24. Gao Y., Zhao H., Lu Y. et al. MicroRNAs as potential diagnostic biomarkers in renal cell carcinoma. Tumor Biol 2014;35(11):11041–50. DOI: 10.1007/s13277-014-2381-3
25. Ellinger J., Alam J., Rothenburg J. et al. The long non-coding RNA lnc-ZNF180-2 is a prognostic biomarker in patients with clear cell renal cell carcinoma. Am J Cancer Res 2015;5(9):2799–807.
26. Muselaers C.H.J., Boerman O.C., Oosterwijk E. et al. Indium-111-labeled girentuximab immunoSPECT as a diagnostic tool in clear cell renal cell carcinoma. Eur Urol 2013;63(6):1101–6. DOI: 10.1016/j.eururo.2013.02.022
Review
For citations:
Fiev D.N., Sirota E.S., Kozlov V.V., Proskura A.V., Shpot E.V., Chernenkiy M.M., Chernenkiy I.M., Puzakov K.B., Azil’gareeva K.R., Ismailov Kh.M., Butnaru D.V., Kutikov A., Vinarov A.Z. Correlation between 3D morphometric characteristics of kidney tumors and their histological structure. Cancer Urology. 2023;19(2):17-28. (In Russ.) https://doi.org/10.17650/1726-9776-2023-19-2-17-28