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Prediction of treatment response following ethanol sclerotherapy of renal cysts by computed tomography

  • Kidneys, Ureters, Bladder, Retroperitoneum
  • Published:
Abdominal Radiology Aims and scope Submit manuscript

Abstract

Objectives

To investigate predictive factors of treatment response following ethanol sclerotherapy of large renal cysts via computed tomography (CT).

Methods

Retrospective study reviewed 71 patients (61.0 ± 13.2 years; M:F = 32:39) who underwent pretreatment CT and were treated with sclerotherapy of a large (> 5 cm) renal cyst (mean volume: 279.8 cc) using 99% ethanol from January 2010 to February 2019. Patients were followed up at least two times, short-term (defined as < 6 months, median 2.1 months) and long-term (defined as > 1 year, median 15.5 months), via ultrasound or CT. Suboptimal response was defined as the volume of residual cyst > 20 mL in each follow-up. Predictive variables of radiologic findings and radiomics features were analyzed using logistic regression analysis.

Results

Suboptimal response rates were 33.8% and 18.3% at short-term and long-term follow-ups, respectively. In radiologic findings, patients with suboptimal response in the short-term follow-up showed a more frequent estimated cyst volume ≥ 270 mL (OR 14.8, 95% CI 3.9–55.9, p < 0.001) and sinus protrusion (OR 7.0, 95% CI 1.7–28.5, p = 0.007). Cyst volume ≥ 270 mL was also associated with suboptimal response in the long-term follow-up (OR 4.6, 95% CI 1.3–16.9, p = 0.021). When radiomics features were combined, the area under the curve increased from 0.83 to 0.86 and from 0.68 to 0.82 to predict suboptimal response in short-term and long-term follow-ups, respectively.

Conclusion

Greater estimated volume, sinus protrusion, and radiomics features of the cysts in pretreatment CT can help predict suboptimal response of renal cyst after sclerotherapy.

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Abbreviations

CT:

Computed tomography

MRI:

Magnetic resonance imaging

PACS:

Picture archiving and communication system

ROC:

Receiver operating characteristic

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Acknowledgements

We appreciate to SeongYong Pak (Siemens Healthineers, Seoul, Korea) for technical support in this study.

Funding

The authors did not receive support from any organization for the submitted work.

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Authors and Affiliations

  1. Department of Radiology, Seoul National University Hospital, 101 Daehakro, Jongro-gu, Seoul, 03080, Korea

    Min Gwan Kim, Taek Min Kim, Sang Youn Kim & Jeong Yeon Cho

  2. Department of Radiology, Seoul National University College of Medicine, Seoul, Korea

    Taek Min Kim, Sang Youn Kim & Jeong Yeon Cho

  3. Institute of Radiation Medicine and Kidney Research Institute, Seoul National University Medical Research Center, Seoul, 03080, Korea

    Jeong Yeon Cho

Authors
  1. Min Gwan Kim
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Contributions

SYK: Conceptualization. MGK, TMK, SYK: Data curation. MGK, TMK: Formal Analysis. MGK, TMK, SYK: Investigation, Funding acquisition. MGK, TMK, SYK: Methodology. TMK, SYK: Project administration. TMK, SYK: Resources. SYK, JYC: Software Supervision. TMK, SYK: Validation. MGK, TMK, SYK, JYC: Visualization. MGK, TMK: Writing-original draft. MGK, TMK, SYK, JYC: Writing-review & editing.

Corresponding author

Correspondence to Sang Youn Kim.

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The authors have no competing interests to declare that are relevant to the content of this article.

Ethical approval

This study was approved by the Institutional Review Board of our institution with a waiver of the requirement for patients’ informed consent (IRB no. 2004-079-1117).

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Kim, M.G., Kim, T.M., Kim, S.Y. et al. Prediction of treatment response following ethanol sclerotherapy of renal cysts by computed tomography. Abdom Radiol 47, 3563–3573 (2022). https://doi.org/10.1007/s00261-022-03621-2

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  • DOI: https://doi.org/10.1007/s00261-022-03621-2

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