Skip to main content
Log in

Diagnostic performance of the “drooping” sign in CT diagnosis of exophytic renal angiomyolipoma

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

Abstract

Objective

To evaluate the prevalence of angular interface and the “drooping” sign in exophytic renal angiomyolipomas (AMLs) and the diagnostic performance in differentiating exophytic lipid-poor AMLs from other solid renal masses.

Methods

This IRB-approved, two-center study included 185 patients with 188 exophytic solid renal masses < 4 cm with histopathology and pre-operative CT within 30 days of surgical resection or biopsy. Images were reviewed for the presence of angular interface and the “drooping” sign qualitatively by three readers blinded to the final diagnosis, with majority rules applied. Both features were assessed quantitatively by cohort creators (who are not readers) independently. Free-marginal kappa was used to assess inter-reader agreement and agreement between two methods assessing each feature. Fisher’s exact test, Mann–Whitney test, and multivariable logistic regression with two-tailed p < 0.05 were used to determine statistical significance. Diagnostic performance was assessed.

Results

Ninety-four patients had 96 AMLs, and 91 patients had 92 non-AMLs. Seventy-four (77%) of AMLs were lipid-poor based on quantitative assessment on CT. The presence of angular interface and the “drooping” sign by both qualitative and quantitative assessment were statistically significantly associated with AMLs (39% (qualitative) and 45% (quantitative) vs 15% (qualitative) and 13% (quantitative), and 48% (qualitative) and 43% (quantitative) vs 4% (qualitative) and 1% (quantitative), respectively, all p < 0.001) in univariable analysis. In multivariable analysis, only the “drooping” sign in either qualitative or quantitative assessment was a statistically significant predictor of AMLs (both p < 0.001). Inter-reader agreement for the “drooping” sign was moderate (k = 0.55) and for angular interface was fair (k = 0.33). Agreement between the two methods of assessing the “drooping” sign was substantial (k = 0.84) and of assessing the angular interface was moderate (k = 0.59). The “drooping” sign both qualitatively and quantitatively, alone or in combination of angular interface, had very high specificity (96–100%) and positive predictive value (PPV) (89–100%), moderate negative predictive value (62–68%), but limited sensitivity (23–49%) for lipid-poor AMLs.

Conclusion

The “drooping” sign by both qualitative and quantitative assessment is highly specific for lipid-rich and lipid-poor AMLs. This feature alone or in combination with angular interface can aid in CT diagnosis of lipid-poor AMLs with very high specificity and PPV.

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

References

  1. Fittschen A, Wendlik I, Oeztuerk S, Kratzer W, Akinli AS, Haenle MM, et al. Prevalence of sporadic renal angiomyolipoma: a retrospective analysis of 61,389 in- and out-patients. Abdom Imaging. 2014;39(5):1009-1013. doi: https://doi.org/10.1007/s00261-014-0129-6. PubMed PMID: 24705668.

    Article  PubMed  Google Scholar 

  2. Jinzaki M, Silverman SG, Akita H, Nagashima Y, Mikami S, Oya M. Renal angiomyolipoma: a radiological classification and update on recent developments in diagnosis and management. Abdom Imaging. 2014;39(3):588-604. doi: https://doi.org/10.1007/s00261-014-0083-3. PubMed PMID: 24504542; PubMed Central PMCID: PMC4040184.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Hines JJ, Jr., Eacobacci K, Goyal R. The Incidental Renal Mass- Update on Characterization and Management. Radiol Clin North Am. 2021;59(4):631-646. doi: https://doi.org/10.1016/j.rcl.2021.03.011. PubMed PMID: 34053610.

    Article  PubMed  Google Scholar 

  4. Schieda N, Hodgdon T, El-Khodary M, Flood TA, McInnes MD. Unenhanced CT for the diagnosis of minimal-fat renal angiomyolipoma. AJR Am J Roentgenol. 2014;203(6):1236-1241. doi: https://doi.org/10.2214/AJR.14.12630. PubMed PMID: 25415700.

    Article  PubMed  Google Scholar 

  5. Simpson E, Patel U. Diagnosis of angiomyolipoma using computed tomography-region of interest < or =-10 HU or 4 adjacent pixels < or =-10 HU are recommended as the diagnostic thresholds. Clin Radiol. 2006;61(5):410-416. doi: https://doi.org/10.1016/j.crad.2005.12.013. PubMed PMID: 16679114.

    Article  CAS  PubMed  Google Scholar 

  6. Jinzaki M, Silverman SG, Akita H, Mikami S, Oya M. Diagnosis of Renal Angiomyolipomas: Classic, Fat-Poor, and Epithelioid Types. Semin Ultrasound CT MR. 2017;38(1):37–46. Epub 20161105. doi: https://doi.org/10.1053/j.sult.2016.11.001. PubMed PMID: 28237279.

  7. Park BK. Renal Angiomyolipoma: Radiologic Classification and Imaging Features According to the Amount of Fat. AJR Am J Roentgenol. 2017;209(4):826–835. Epub 20170720. doi: https://doi.org/10.2214/AJR.17.17973. PubMed PMID: 28726505.

  8. Campbell SC, Novick AC, Belldegrun A, Blute ML, Chow GK, Derweesh IH, et al. Guideline for management of the clinical T1 renal mass. J Urol. 2009;182(4):1271–1279. Epub 20090814. doi: https://doi.org/10.1016/j.juro.2009.07.004. PubMed PMID: 19683266.

  9. Kutikov A, Fossett LK, Ramchandani P, Tomaszewski JE, Siegelman ES, Banner MP, et al. Incidence of benign pathologic findings at partial nephrectomy for solitary renal mass presumed to be renal cell carcinoma on preoperative imaging. Urology. 2006;68(4):737-740. doi: https://doi.org/10.1016/j.urology.2006.04.011. PubMed PMID: 17070344.

    Article  PubMed  Google Scholar 

  10. Frank I, Blute ML, Cheville JC, Lohse CM, Weaver AL, Zincke H. Solid renal tumors: an analysis of pathological features related to tumor size. J Urol. 2003;170(6 Pt 1):2217-2220. doi: https://doi.org/10.1097/01.ju.0000095475.12515.5e. PubMed PMID: 14634382.

    Article  PubMed  Google Scholar 

  11. Kim KH, Yun BH, Jung SI, Hwang IS, Hwang EC, Kang TW, et al. Usefulness of the ice-cream cone pattern in computed tomography for prediction of angiomyolipoma in patients with a small renal mass. Korean J Urol. 2013;54(8):504–509. Epub 20130807. doi: https://doi.org/10.4111/kju.2013.54.8.504. PubMed PMID: 23956824; PubMed Central PMCID: PMC3742901.

  12. Kim YH, Han K, Oh YT, Jung DC, Cho NH, Park SY. Morphologic analysis with computed tomography may help differentiate fat-poor angiomyolipoma from renal cell carcinoma: a retrospective study with 602 patients. Abdom Radiol (NY). 2018;43(3):647-654. doi: https://doi.org/10.1007/s00261-017-1244-y. PubMed PMID: 28677004.

    Article  PubMed  Google Scholar 

  13. Verma SK, Mitchell DG, Yang R, Roth CG, O'Kane P, Verma M, et al. Exophytic renal masses: angular interface with renal parenchyma for distinguishing benign from malignant lesions at MR imaging. Radiology. 2010;255(2):501–507. Epub 20100216. doi: https://doi.org/10.1148/radiol.09091109. PubMed PMID: 20160001.

  14. Herts BR, Silverman SG, Hindman NM, Uzzo RG, Hartman RP, Israel GM, et al. Management of the Incidental Renal Mass on CT: A White Paper of the ACR Incidental Findings Committee. J Am Coll Radiol. 2018;15(2):264–273. Epub 20170623. doi: https://doi.org/10.1016/j.jacr.2017.04.028. PubMed PMID: 28651987.

  15. Pierorazio PM, Johnson MH, Ball MW, Gorin MA, Trock BJ, Chang P, et al. Five-year analysis of a multi-institutional prospective clinical trial of delayed intervention and surveillance for small renal masses: the DISSRM registry. Eur Urol. 2015;68(3):408–415. Epub 20150216. doi: https://doi.org/10.1016/j.eururo.2015.02.001. PubMed PMID: 25698065.

  16. Onur MR, Poyraz AK, Bozgeyik Z, Onur AR, Orhan I. Utility of semiquantitative strain elastography for differentiation between benign and malignant solid renal masses. J Ultrasound Med. 2015;34(4):639-647. doi: https://doi.org/10.7863/ultra.34.4.639. PubMed PMID: 25792579.

    Article  PubMed  Google Scholar 

  17. Tan S, Ozcan MF, Tezcan F, Balci S, Karaoglanoglu M, Huddam B, et al. Real-time elastography for distinguishing angiomyolipoma from renal cell carcinoma: preliminary observations. AJR Am J Roentgenol. 2013;200(4):W369-375. doi: https://doi.org/10.2214/AJR.12.9139. PubMed PMID: 23521480.

    Article  PubMed  Google Scholar 

  18. Sung CK, Kim SH, Woo S, Moon MH, Kim SY, Kim SH, et al. Angiomyolipoma with minimal fat: differentiation of morphological and enhancement features from renal cell carcinoma at CT imaging. Acta Radiol. 2016;57(9):1114–1122. Epub 20151211. doi: https://doi.org/10.1177/0284185115618547. PubMed PMID: 26663389.

  19. Yamashita Y, Honda S, Nishiharu T, Urata J, Takahashi M. Detection of pseudocapsule of renal cell carcinoma with MR imaging and CT. AJR Am J Roentgenol. 1996;166(5):1151-1155. doi: https://doi.org/10.2214/ajr.166.5.8615260. PubMed PMID: 8615260.

    Article  CAS  PubMed  Google Scholar 

  20. Calio A, Warfel KA, Eble JN. Pathological features and clinical associations of 58 small incidental angiomyolipomas of the kidney. Hum Pathol. 2016;58:41–46. Epub 20160818. doi: https://doi.org/10.1016/j.humpath.2016.07.024. PubMed PMID: 27544799.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Luyao Shen.

Ethics declarations

Conflict of interest

Aya Kamaya: Book royalties from Elsevier and research grant from Canon, Inc on items unrelated to this research. Meghan G. Lubner: Spouse is consultant at Elephas Bio on items unrelated to this research. Giuseppe V. Toia: consultant to GE Healthcare and Canon Medical on items unrelated to this research. Justin R. Tse: Pending grant from Bayer Healthcare on items unrelated to this research. All other authors disclose that they have no conflicts of interest.

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

Shen, L., Nawaz, R., Tse, J.R. et al. Diagnostic performance of the “drooping” sign in CT diagnosis of exophytic renal angiomyolipoma. Abdom Radiol 48, 2091–2101 (2023). https://doi.org/10.1007/s00261-023-03880-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00261-023-03880-7

Keywords

Navigation