Skip to main content
Log in

Evaluation of early sonographic predictors of gangrenous cholecystitis: mucosal discontinuity and echogenic pericholecystic fat

  • Hepatobiliary
  • Published:
Abdominal Radiology Aims and scope Submit manuscript

Abstract

Purpose

To identify early sonographic features of gangrenous cholecystitis.

Materials and methods

101 patients with acute cholecystitis and a pre-operative sonogram were retrospectively reviewed by three radiologists in this IRB-approved and HIPAA-compliant study. Imaging data were correlated with histologic findings and compared using the Fisher’s exact test or Student t test with p < 0.05 to determine statistical significance.

Results

Forty-eight patients had gangrenous cholecystitis and 53 had non-gangrenous acute cholecystitis. Patients with gangrenous cholecystitis tended to be older (67 ± 17 vs 48 ± 18 years; p = 0.0001), male (ratio of male:female 2:1 vs 0.6:1; p = 0.005), tachycardic (60% vs 28%; p = 0.001), and diabetic (25% vs 8%; p = 0.001). Median time between pre-operative sonogram and surgery was 1 day. On imaging, patients with gangrenous cholecystitis were more likely to have echogenic pericholecystic fat (p = 0.001), mucosal discontinuity (p = 0.010), and frank perforation (p = 0.004), while no statistically significant differences were seen in the presence of sloughed mucosa (p = 0.104), pericholecystic fluid (p = 0.523) or wall striations (p = 0.839). In patients with gangrenous cholecystitis and echogenic pericholecystic fat, a smaller subset had concurrent mucosal discontinuity (57%), and a smaller subset of those had concurrent frank perforation (58%). The positive likelihood ratios for gangrenous cholecystitis with echogenic fat and mucosal discontinuity were 4.6 (95% confidence interval 1.9–11.3) and 14.4 (2.0–106), respectively.

Conclusion

Echogenic pericholecystic fat and mucosal discontinuity are early sonographic findings that may help identify gangrenous cholecystitis prior to late findings of frank perforation.

Graphic abstract

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
Fig. 5

Similar content being viewed by others

Data availability

Yes.

References

  1. Fagan SP, Awad SS, Rahwan K et al. Prognostic factors for the development of gangrenous cholecystitis. Am J Surg. 2003;186(5):481–485.

    Article  Google Scholar 

  2. Wu B, Buddensick TJ, Ferdosi H et al. Predicting gangrenous cholecystitis. HPB. 2014;16:801–806.

    PubMed  Google Scholar 

  3. Habib FA, Kolachalam RB, Khilnani R, Preventza O, Mittal VK. Role of laparoscopic cholecystectomy in the management of gangrenous cholecystitis. Am J Surg 2001;181:71–75.

    Article  CAS  Google Scholar 

  4. Merriam LT, Kanaan SA, Dawes LG et al. Gangrenous cholecystitis: analysis of risk factors and experience with laparoscopic cholecystectomy. Surgery. 1999 Oct;126(4):680–685.

    Article  CAS  Google Scholar 

  5. Yeh DD, Cropano C, Fagenholz P et al. Gangrenous cholecystitis: Deceiving ultrasounds, significant delay in surgical consult, and increased postoperative morbidity! J Trauma Acute Care Surg. 2015;79(5):812–816.

    Article  Google Scholar 

  6. Teefey SA, Dahiya N, Middleton WD et al. Acute cholecystitis: do sonographic findings and WBC count predict gangrenous changes? AJR Am J Roentgenol. 2013;200(2):363–369.

    Article  Google Scholar 

  7. Simeone JF, Brink JA, Mueller PR et al. The sonographic diagnosis of acute gangrenous cholecystitis: importance of the Murphy sign. AJR Am J Roentgenol. 1989;152(2):289–290.

    Article  CAS  Google Scholar 

  8. Aydin C, Altaca G, Berber I, Tekin K, Kara M, Titiz I. Prognostic parameters for the prediction of acute gangrenous cholecystitis. J Hepatobiliary Pancreat Surg. 2006;13:155–159.

    Article  Google Scholar 

  9. Nikfarjam M, Niumsawatt V, Sethu A et al. Outcomes of contemporary management of gangrenous and non-gangrenous acute cholecystitis. HPB. 2011;13:551–558.

    Article  Google Scholar 

  10. Falor AE, Zobel M, Kaji A, Neville A, de Virgilio C. (2012) Admission variables predictive of gangrenous cholecystitis. Am Surg. 2012;78:1075–1078.

    Article  Google Scholar 

  11. Bennett GL, Rusinek H, Lisi V et al. CT findings in acute gangrenous cholecystitis. AJR Am J Roentgenol. 2002;178(2):275–281.

    Article  Google Scholar 

  12. Chang WC, Sun Y, Wu EH et al. CT Findings for Detecting the Presence of Gangrenous Ischemia in Cholecystitis. AJR Am J Roentgenol. 2016;207(2):302–309.

    Article  Google Scholar 

  13. Peterson CM, McNamara MM, Kamel IR et al. ACR appropriateness criteria right upper quadrant pain. J Am Coll Radiol. 2019;16: S235–S243.

    Article  Google Scholar 

  14. Nguyen L, Fagan SP, Lee TC, Aoki N, Itani KM, Berger DH et al. Use of a predictive equation for diagnosis of acute gangrenous cholecystitis. Am J Surg 2004;188:463–466.

    Article  Google Scholar 

  15. Yacoub WN, Petrosyan M, Sehgal I, Ma Y, Chandrasoma P, Mason RJ. Prediction of patients with acute cholecystitis requiring emergent cholecystectomy: a simple score. Gastroenterol Res Pract. 2010;901739: 1-5.

    Article  Google Scholar 

  16. Olcott EW, Jeffrey RB Jr, Jain KA. Power versus color Doppler sonography of the normal cystic artery: implications for patients with acute cholecystitis. AJR Am J Roentgenol 1997;168(3):703-705.

    Article  CAS  Google Scholar 

  17. An C, Park S, Ko S, Park M, Kim M, Kim KW. Usefulness of the tensile gallbladder fundus sign in the diagnosis of early acute cholecystitis. AJR Am J Roentgenol 2013;201(2):340-346.

    Article  Google Scholar 

  18. Jeffrey RB, Laing FC, Wong W, Callen PW. Gangrenous cholecystitis: diagnosis by ultrasound. Radiology. 1983;148(1):219–221.

    Article  CAS  Google Scholar 

  19. Teefey SA, Baron RL, Radke HM, Bigler SA. Gangrenous cholecystitis: new observations on sonography. J Ultrasound Med. 1991;10(11):603–606.

    Article  CAS  Google Scholar 

  20. Kumar V, Abbas AK, Aster JC. Robbins and Cotran Pathologic Basis of Disease, 9th ed. Philadelphia, PA: Elsevier, 2015: 821-881.

    Google Scholar 

  21. Xu Y, Jeffrey RB, Chang ST, DiMaio MA, Olcott EW. Sonographic differentiation of complicated from uncomplicated appenditis: implications for antibiotics-first therapy. J Ultrasound Med. 2017;36:269-277.

    Article  Google Scholar 

  22. McDonnell CH, Jeffrey RB, Vierra MA. Inflamed pericholecystic fat: color Doppler flow imaging and clinical features. Radiology. 1994;193(2):947–950.

    Article  Google Scholar 

  23. Penticuff R, Jeffrey RB, Olcott EW. Hyperechoic Periappendiceal Fat: Evaluation of Criteria for Improving Specificity in the Sonographic Diagnosis of Appendicitis in Pediatric Patients. J Ultrasound Med 2021;49(2):285-296.

    Article  Google Scholar 

  24. Noguchi Y, Yoshimitsu K, Yoshida M. Periappendiceal hyperechoic structure on sonography: a sign of severe appendicitis. 2005;24(3):323-327.

    Google Scholar 

  25. Shapira-Rootman M, Mahamid A, Reindorp N, Nachtigal A, Zeina AR. Sonographic Diagnosis of Complicated Cholecystitis. J Ultrasound Med. 2015;34(12):2231–2236.

    Article  Google Scholar 

  26. Charalel RA, Jeffrey RB, Shin LK. Complicated cholecystitis: the complementary role of sonography and computer tomography. Ultrasound Q. 2011;27(3):161-170.

    Article  Google Scholar 

  27. Perez M, Tse JR, Bird K, Liang T, Jeffrey RB, Kamaya A. Cystic Artery Velocity as a Predictor of Acute Cholecystitis. Abdominal Radiology (in press).

  28. Chandler CF, Lane JS, Ferguson P, Thompson JE, Ashley SW. Prospective evaluation of early versus delayed laparoscopic cholecystectomy for treatment of acute cholecystitis. The American Surgeon. 2000;66(9):896-900.

    CAS  PubMed  Google Scholar 

  29. Yokoe M, Hata J, Takada T, et al. Tokyo Guidelines 2018: Diagnostic criteria and severity grading of acute cholecystitis (with videos). J Hepatobiliary Pancreat Sci. 2018;25(1):41–54.

    Article  Google Scholar 

Download references

Funding

None.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Aya Kamaya.

Ethics declarations

Conflict of interest

Dr. Aya Kamaya receives book royalties from Elsevier. The remaining authors do not have any conflicts of interests or competing interests.

Ethical approval:

Approved by Stanford University Institutional Review Board.

Informed consent

Waived (retrospective study) by Stanford University Institutional Review Board. Consent for publication Waived (retrospective study) by Stanford University Institutional Review Board.

Additional information

Publisher's Note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tse, J.R., Gologorsky, R., Shen, L. et al. Evaluation of early sonographic predictors of gangrenous cholecystitis: mucosal discontinuity and echogenic pericholecystic fat. Abdom Radiol 47, 1061–1070 (2022). https://doi.org/10.1007/s00261-021-03320-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00261-021-03320-4

Keywords

Navigation