Skip to main content
Top
Published in: BMC Medical Imaging 1/2024

Open Access 01-12-2024 | Nephroblastoma | Research

CT radiomics to differentiate between Wilms tumor and clear cell sarcoma of the kidney in children

Authors: Yaxin Deng, Haoru Wang, Ling He

Published in: BMC Medical Imaging | Issue 1/2024

Login to get access

Abstract

Background

To investigate the role of CT radiomics in distinguishing Wilms tumor (WT) from clear cell sarcoma of the kidney (CCSK) in pediatric patients.

Methods

We retrospectively enrolled 83 cases of WT and 33 cases of CCSK. These cases were randomly stratified into a training set (n = 81) and a test set (n = 35). Several imaging features from the nephrographic phase were analyzed, including the maximum tumor diameter, the ratio of the maximum CT value of the tumor solid portion to the mean CT value of the contralateral renal vein (CTmax/CT renal vein), and the presence of dilated peritumoral cysts. Radiomics features from corticomedullary phase were extracted, selected, and subsequently integrated into a logistic regression model. We evaluated the model's performance using the area under the curve (AUC), 95% confidence interval (CI), and accuracy.

Results

In the training set, there were statistically significant differences in the maximum tumor diameter (P = 0.021) and the presence of dilated peritumoral cysts (P = 0.005) between WT and CCSK, whereas in the test set, no statistically significant differences were observed (P > 0.05). The radiomics model, constructed using four radiomics features, demonstrated strong performance in the training set with an AUC of 0.889 (95% CI: 0.811–0.967) and an accuracy of 0.864. Upon evaluation using fivefold cross-validation in the training set, the AUC remained high at 0.863 (95% CI: 0.774–0.952), with an accuracy of 0.852. In the test set, the radiomics model achieved an AUC of 0.792 (95% CI: 0.616–0.968) and an accuracy of 0.857.

Conclusion

CT radiomics proves to be diagnostically valuable for distinguishing between WT and CCSK in pediatric cases.
Appendix
Available only for authorised users
Literature
2.
go back to reference Gooskens SL, Furtwängler R, Vujanic GM, Dome JS, Graf N, van den Heuvel-Eibrink MM. Clear cell sarcoma of the kidney: a review. Eur J Cancer. 2012;48(14):2219–26.CrossRefPubMed Gooskens SL, Furtwängler R, Vujanic GM, Dome JS, Graf N, van den Heuvel-Eibrink MM. Clear cell sarcoma of the kidney: a review. Eur J Cancer. 2012;48(14):2219–26.CrossRefPubMed
3.
go back to reference Dong JJ, He XY, Liu X, Lin T, He DW, Liu F, et al. Retrospective analysis of outcomes in patients with clear cell sarcoma of the kidney: A tertiary single-institution experience. J Pediatr Surg. 2021;56(3):580–6.CrossRefPubMed Dong JJ, He XY, Liu X, Lin T, He DW, Liu F, et al. Retrospective analysis of outcomes in patients with clear cell sarcoma of the kidney: A tertiary single-institution experience. J Pediatr Surg. 2021;56(3):580–6.CrossRefPubMed
4.
go back to reference Chen S, Li M, Li R, Cao J, Wu Q, Zhou T, et al. Clear cell sarcoma of the kidney in children: a clinopathologic analysis of three cases. Int J Clin Exp Pathol. 2020;13(4):771–7.PubMedPubMedCentral Chen S, Li M, Li R, Cao J, Wu Q, Zhou T, et al. Clear cell sarcoma of the kidney in children: a clinopathologic analysis of three cases. Int J Clin Exp Pathol. 2020;13(4):771–7.PubMedPubMedCentral
5.
go back to reference Shin HJ, Kwak JY, Lee E, Lee MJ, Yoon H, Han K, et al. Texture Analysis to Differentiate Malignant Renal Tumors in Children Using Gray-Scale Ultrasonography Images. Ultrasound Med Biol. 2019;45(8):2205–12.CrossRefPubMed Shin HJ, Kwak JY, Lee E, Lee MJ, Yoon H, Han K, et al. Texture Analysis to Differentiate Malignant Renal Tumors in Children Using Gray-Scale Ultrasonography Images. Ultrasound Med Biol. 2019;45(8):2205–12.CrossRefPubMed
6.
go back to reference Zekri W, Alfaar AS, Yehia D, Elshafie MM, Zaghloul MS, El-Kinaai N, et al. Clear cell sarcoma of the kidney: patients’ characteristics and improved outcome in developing countries. Pediatr Blood Cancer. 2014;61(12):2185–90.CrossRefPubMed Zekri W, Alfaar AS, Yehia D, Elshafie MM, Zaghloul MS, El-Kinaai N, et al. Clear cell sarcoma of the kidney: patients’ characteristics and improved outcome in developing countries. Pediatr Blood Cancer. 2014;61(12):2185–90.CrossRefPubMed
7.
go back to reference Kang C, Shin HJ, Yoon H, Han JW, Lyu CJ, Lee MJ. Differentiation between Clear Cell Sarcoma of the Kidney and Wilms’ Tumor with CT. Korean J Radiol. 2021;22(7):1185–93.CrossRefPubMedPubMedCentral Kang C, Shin HJ, Yoon H, Han JW, Lyu CJ, Lee MJ. Differentiation between Clear Cell Sarcoma of the Kidney and Wilms’ Tumor with CT. Korean J Radiol. 2021;22(7):1185–93.CrossRefPubMedPubMedCentral
8.
9.
go back to reference Sebire NJ, Vujanic GM. Paediatric renal tumours: recent developments, new entities and pathological features. Histopathology. 2009;54(5):516–28.CrossRefPubMed Sebire NJ, Vujanic GM. Paediatric renal tumours: recent developments, new entities and pathological features. Histopathology. 2009;54(5):516–28.CrossRefPubMed
10.
go back to reference Sun J, Liu K, Tong H, Liu H, Li X, Luo Y, et al. CT Texture Analysis for Differentiating Bronchiolar Adenoma, Adenocarcinoma In Situ, and Minimally Invasive Adenocarcinoma of the Lung. Front Oncol. 2021;11:634564.CrossRefPubMedPubMedCentral Sun J, Liu K, Tong H, Liu H, Li X, Luo Y, et al. CT Texture Analysis for Differentiating Bronchiolar Adenoma, Adenocarcinoma In Situ, and Minimally Invasive Adenocarcinoma of the Lung. Front Oncol. 2021;11:634564.CrossRefPubMedPubMedCentral
11.
go back to reference Wang H, Xie M, Chen X, Zhu J, Ding H, Zhang L, et al. Development and validation of a CT-based radiomics signature for identifying high-risk neuroblastomas under the revised Children’s Oncology Group classification system. Pediatr Blood Cancer. 2023;70(5):e30280.CrossRefPubMed Wang H, Xie M, Chen X, Zhu J, Ding H, Zhang L, et al. Development and validation of a CT-based radiomics signature for identifying high-risk neuroblastomas under the revised Children’s Oncology Group classification system. Pediatr Blood Cancer. 2023;70(5):e30280.CrossRefPubMed
13.
go back to reference Feng L, Qian L, Yang S, Ren Q, Zhang S, Qin H, et al. Clinical parameters combined with radiomics features of PET/CT can predict recurrence in patients with high-risk pediatric neuroblastoma. BMC Med Imaging. 2022;22(1):102.CrossRefPubMedPubMedCentral Feng L, Qian L, Yang S, Ren Q, Zhang S, Qin H, et al. Clinical parameters combined with radiomics features of PET/CT can predict recurrence in patients with high-risk pediatric neuroblastoma. BMC Med Imaging. 2022;22(1):102.CrossRefPubMedPubMedCentral
14.
go back to reference Chen X, Huang Y, He L, Zhang T, Zhang L, Ding H. CT-Based Radiomics to Differentiate Pelvic Rhabdomyosarcoma From Yolk Sac Tumors in Children. Front Oncol. 2020;10:584272.CrossRefPubMedPubMedCentral Chen X, Huang Y, He L, Zhang T, Zhang L, Ding H. CT-Based Radiomics to Differentiate Pelvic Rhabdomyosarcoma From Yolk Sac Tumors in Children. Front Oncol. 2020;10:584272.CrossRefPubMedPubMedCentral
15.
go back to reference Schieda N, Thornhill RE, Al-Subhi M, McInnes MD, Shabana WM, van der Pol CB, et al. Diagnosis of Sarcomatoid Renal Cell Carcinoma With CT: Evaluation by Qualitative Imaging Features and Texture Analysis. AJR Am J Roentgenol. 2015;204(5):1013–23.CrossRefPubMed Schieda N, Thornhill RE, Al-Subhi M, McInnes MD, Shabana WM, van der Pol CB, et al. Diagnosis of Sarcomatoid Renal Cell Carcinoma With CT: Evaluation by Qualitative Imaging Features and Texture Analysis. AJR Am J Roentgenol. 2015;204(5):1013–23.CrossRefPubMed
16.
go back to reference Meng X, Shu J, Xia Y, Yang R. A CT-Based Radiomics Approach for the Differential Diagnosis of Sarcomatoid and Clear Cell Renal Cell Carcinoma. Biomed Res Int. 2020;2020:7103647.CrossRefPubMedPubMedCentral Meng X, Shu J, Xia Y, Yang R. A CT-Based Radiomics Approach for the Differential Diagnosis of Sarcomatoid and Clear Cell Renal Cell Carcinoma. Biomed Res Int. 2020;2020:7103647.CrossRefPubMedPubMedCentral
17.
go back to reference Song Y, Zhang J, Zhang YD, Hou Y, Yan X, Wang Y, et al. FeAture Explorer (FAE): A tool for developing and comparing radiomics models. PLoS ONE. 2020;15(8):e0237587.CrossRefPubMedPubMedCentral Song Y, Zhang J, Zhang YD, Hou Y, Yan X, Wang Y, et al. FeAture Explorer (FAE): A tool for developing and comparing radiomics models. PLoS ONE. 2020;15(8):e0237587.CrossRefPubMedPubMedCentral
18.
go back to reference Chung EM, Graeber AR, Conran RM. Renal Tumors of Childhood: Radiologic-Pathologic Correlation Part 1. The 1st Decade: From the Radiologic Pathology Archives. Radiographics. 2016;36(2):499–522.CrossRefPubMed Chung EM, Graeber AR, Conran RM. Renal Tumors of Childhood: Radiologic-Pathologic Correlation Part 1. The 1st Decade: From the Radiologic Pathology Archives. Radiographics. 2016;36(2):499–522.CrossRefPubMed
19.
go back to reference Glass RB, Davidson AJ, Fernbach SK. Clear cell sarcoma of the kidney: CT, sonographic, and pathologic correlation. Radiology. 1991;180(3):715–7.CrossRefPubMed Glass RB, Davidson AJ, Fernbach SK. Clear cell sarcoma of the kidney: CT, sonographic, and pathologic correlation. Radiology. 1991;180(3):715–7.CrossRefPubMed
21.
go back to reference Song J, Yin Y, Wang H, Chang Z, Liu Z, Cui L. A review of original articles published in the emerging field of radiomics. Eur J Radiol. 2020;127: 108991.CrossRefPubMed Song J, Yin Y, Wang H, Chang Z, Liu Z, Cui L. A review of original articles published in the emerging field of radiomics. Eur J Radiol. 2020;127: 108991.CrossRefPubMed
22.
go back to reference Yu H, Scalera J, Khalid M, Touret AS, Bloch N, Li B, et al. Texture analysis as a radiomic marker for differentiating renal tumors. Abdom Radiol (NY). 2017;42(10):2470–8.CrossRefPubMed Yu H, Scalera J, Khalid M, Touret AS, Bloch N, Li B, et al. Texture analysis as a radiomic marker for differentiating renal tumors. Abdom Radiol (NY). 2017;42(10):2470–8.CrossRefPubMed
23.
go back to reference Deng Y, Soule E, Samuel A, Shah S, Cui E, Asare-Sawiri M, et al. CT texture analysis in the differentiation of major renal cell carcinoma subtypes and correlation with Fuhrman grade. Eur Radiol. 2019;29(12):6922–9.CrossRefPubMed Deng Y, Soule E, Samuel A, Shah S, Cui E, Asare-Sawiri M, et al. CT texture analysis in the differentiation of major renal cell carcinoma subtypes and correlation with Fuhrman grade. Eur Radiol. 2019;29(12):6922–9.CrossRefPubMed
24.
go back to reference Fan TW, Malhi H, Varghese B, Cen S, Hwang D, Aron M, et al. Computed tomography-based texture analysis of bladder cancer: differentiating urothelial carcinoma from micropapillary carcinoma. Abdom Radiol (NY). 2019;44(1):201–8.CrossRefPubMed Fan TW, Malhi H, Varghese B, Cen S, Hwang D, Aron M, et al. Computed tomography-based texture analysis of bladder cancer: differentiating urothelial carcinoma from micropapillary carcinoma. Abdom Radiol (NY). 2019;44(1):201–8.CrossRefPubMed
25.
go back to reference Chen X, Wang H, Huang K, Liu H, Ding H, Zhang L, et al. CT-Based Radiomics Signature With Machine Learning Predicts MYCN Amplification in Pediatric Abdominal Neuroblastoma. Front Oncol. 2021;11:687884.CrossRefPubMedPubMedCentral Chen X, Wang H, Huang K, Liu H, Ding H, Zhang L, et al. CT-Based Radiomics Signature With Machine Learning Predicts MYCN Amplification in Pediatric Abdominal Neuroblastoma. Front Oncol. 2021;11:687884.CrossRefPubMedPubMedCentral
27.
go back to reference Ge G, Zhang J. Feature selection methods and predictive models in CT lung cancer radiomics. J Appl Clin Med Phys. 2023;24(1):e13869.CrossRefPubMed Ge G, Zhang J. Feature selection methods and predictive models in CT lung cancer radiomics. J Appl Clin Med Phys. 2023;24(1):e13869.CrossRefPubMed
28.
go back to reference Demircioğlu A. Benchmarking Feature Selection Methods in Radiomics. Invest Radiol. 2022;57(7):433–43.CrossRefPubMed Demircioğlu A. Benchmarking Feature Selection Methods in Radiomics. Invest Radiol. 2022;57(7):433–43.CrossRefPubMed
29.
go back to reference Ma XH, Shu L, Jia X, Zhou HC, Liu TT, Liang JW, et al. Machine Learning-Based CT Radiomics Method for Identifying the Stage of Wilms Tumor in Children. Front Pediatr. 2022;10:873035.CrossRefPubMedPubMedCentral Ma XH, Shu L, Jia X, Zhou HC, Liu TT, Liang JW, et al. Machine Learning-Based CT Radiomics Method for Identifying the Stage of Wilms Tumor in Children. Front Pediatr. 2022;10:873035.CrossRefPubMedPubMedCentral
30.
go back to reference PDQ Pediatric Treatment Editorial Board. Wilms Tumor and Other Childhood Kidney Tumors Treatment (PDQ®): Health Professional Version. 2023 Aug 16. In: In: PDQ Cancer Information Summaries. Bethesda (MD): National Cancer Institute (US); 2002. PDQ Pediatric Treatment Editorial Board. Wilms Tumor and Other Childhood Kidney Tumors Treatment (PDQ®): Health Professional Version. 2023 Aug 16. In: In: PDQ Cancer Information Summaries. Bethesda (MD): National Cancer Institute (US); 2002.
31.
go back to reference Wilde JC, Aronson DC, Sznajder B, Van Tinteren H, Powis M, Okoye B, et al. Nephron sparing surgery (NSS) for unilateral wilms tumor (UWT): the SIOP 2001 experience. Pediatr Blood Cancer. 2014;61(12):2175–9.CrossRefPubMed Wilde JC, Aronson DC, Sznajder B, Van Tinteren H, Powis M, Okoye B, et al. Nephron sparing surgery (NSS) for unilateral wilms tumor (UWT): the SIOP 2001 experience. Pediatr Blood Cancer. 2014;61(12):2175–9.CrossRefPubMed
32.
go back to reference Spreafico F, Gandola L, Melchionda F. Stage I clear cell sarcoma of the kidney: is it the time for a less intensive adjuvant treatment? Transl Pediatr. 2014;3(1):1–3.PubMedPubMedCentral Spreafico F, Gandola L, Melchionda F. Stage I clear cell sarcoma of the kidney: is it the time for a less intensive adjuvant treatment? Transl Pediatr. 2014;3(1):1–3.PubMedPubMedCentral
Metadata
Title
CT radiomics to differentiate between Wilms tumor and clear cell sarcoma of the kidney in children
Authors
Yaxin Deng
Haoru Wang
Ling He
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Medical Imaging / Issue 1/2024
Electronic ISSN: 1471-2342
DOI
https://doi.org/10.1186/s12880-023-01184-2

Other articles of this Issue 1/2024

BMC Medical Imaging 1/2024 Go to the issue