Skip to main content
Log in

Assessment of patency capsule retention using MR diffusion-weighted imaging

  • Gastrointestinal
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objectives

Evaluate the ability of MR diffusion-weighted imaging (DWI) to predict patency capsule retention in Crohn’s disease (CD).

Methods

Clinical and imaging data were prospectively reviewed for 80 CD patients following patency capsule administration and MR-DWI under institutional review board (IRB) approval with informed consent. Two radiologists separately assessed the presence/absence of restricted diffusion in the distal ileum. Apparent diffusion coefficients (ADC) from three regions of interest on the ileal wall were averaged. The association between restricted diffusion and retention, and sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated. Ability of ADC to predict retention was assessed with receiver operating characteristic (ROC) curve analysis.

Results

Restricted diffusion in the distal ileum was associated with capsule retention (p = 0.001, p < 0.0001). Sensitivity, specificity, PPV and NPV of restricted diffusion for capsule retention were 100.0%, 46.2%, 30.0%, 100% and 100.0%, 56.9%, 34.9%, 100%, respectively, for two radiologists. Accuracy of ADC to predict retention was high (area under the curve = 0.851, p < 0.0001). An ADC of 1.47 mm2/s showed 90.0% sensitivity and 50.0% specificity for retention.

Conclusions

Sensitivity and NPV of restricted diffusion for patency capsule retention were 100%, suggesting that DWI may predict gastrointestinal tract capability to pass video camera endoscopy.

Key Points

Capsule endoscopy enables assessment of the gastrointestinal mucosa in Crohn’s disease

Prior patency capsule administration is recommended to evaluate gastrointestinal tract patency

MR diffusion-weighted imaging may detect pathological constriction of the ileum

Restricted diffusion in the distal ileum was associated with capsule retention

MR-DWI may predict gastrointestinal tract capability to pass capsule endoscopy

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

Abbreviations

ADC:

Apparent diffusion coefficient

AUC:

Area under the curve

CDAI:

CD activity index

CD:

Crohn’s disease

ECCO:

European Crohn’s and Colitis Organization

GEM:

Geometry embracing method

IRB:

Institutional review board

MR-DWI:

MR diffusion-weighted imaging

MRE:

MR enterography

NPV:

Negative predictive value

OR:

Odds ratio

PPV:

Positive predictive value

RFID:

Radiofrequency identification

ROI:

Regions of interest

SD:

Standard deviation

VCE:

Video capsule endoscopy (VCE)

References

  1. Iddan G, Meron G, Glukhovsky A, Swain P (2000) Wireless capsule endoscopy. Nature 405:417

    Article  CAS  PubMed  Google Scholar 

  2. Pennazio M, Spada C, Eliakim R et al (2015) Small-bowel capsule endoscopy and device-assisted enteroscopy for diagnosis and treatment of small-bowel disorders: European Society of Gastrointestinal Endoscopy (ESGE) Clinical Guideline. Endoscopy 47:352–376

    Article  PubMed  Google Scholar 

  3. Cheifetz AS, Kornbluth AA, Legnani P et al (2006) The risk of retention of the capsule endoscope in patients with known or suspected Crohn's disease. Am J Gastroenterol 101:2218–2222

    Article  PubMed  Google Scholar 

  4. Cave D, Legnani P, de Franchis R, Lewis BS (2005) ICCE consensus for capsule retention. Endoscopy 37:1065–1067

    Article  CAS  PubMed  Google Scholar 

  5. Herrerias JM, Leighton JA, Costamagna G et al (2008) Agile patency system eliminates risk of capsule retention in patients with known intestinal strictures who undergo capsule endoscopy. Gastrointest Endosc 67:902–909

    Article  PubMed  Google Scholar 

  6. Rommele C, Brueckner J, Messmann H, Golder SK (2016) Clinical experience with the PillCam patency capsule prior to video capsule endoscopy: a real-world experience. Gastroenterol Res Pract 2016:9657053

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Bourreille A, Ignjatovic A, Aabakken L et al (2009) Role of small-bowel endoscopy in the management of patients with inflammatory bowel disease: an international OMED-ECCO consensus. Endoscopy 41:618–637

    Article  CAS  PubMed  Google Scholar 

  8. Foti PV, Farina R, Coronella M et al (2015) Crohn's disease of the small bowel: evaluation of ileal inflammation by diffusion-weighted MR imaging and correlation with the Harvey-Bradshaw index. Radiol Med 120:585–594

    Article  PubMed  Google Scholar 

  9. Shenoy-Bhangle AS, Nimkin K, Aranson T, Gee MS (2015) Value of diffusion-weighted imaging when added to magnetic resonance enterographic evaluation of Crohn disease in children. Pediatr Radiol. doi:10.1007/s00247-015-3438-1

    PubMed  Google Scholar 

  10. Leyendecker JR, Bloomfeld RS, DiSantis DJ, Waters GS, Mott R, Bechtold RE (2009) MR enterography in the management of patients with Crohn disease. Radiographics 29:1827–1846

    Article  PubMed  Google Scholar 

  11. Rozendorn N, Klang E, Lahat A et al (2016) Prediction of patency capsule retention in known Crohn's disease patients by using magnetic resonance imaging. Gastrointest Endosc 83:182–187

    Article  PubMed  Google Scholar 

  12. Seo N, Park SH, Kim KJ et al (2015) MR Enterography for the evaluation of small-bowel inflammation in Crohn Disease by using diffusion-weighted imaging without intravenous contrast material: a prospective noninferiority study. Radiology. doi:10.1148/radiol.2015150809:150809

    Google Scholar 

  13. Li XH, Sun CH, Mao R et al (2015) Assessment of activity of Crohn disease by diffusion-weighted magnetic resonance imaging. Medicine (Baltimore) 94:e1819

    Article  CAS  Google Scholar 

  14. Hordonneau C, Buisson A, Scanzi J et al (2014) Diffusion-weighted magnetic resonance imaging in ileocolonic Crohn's disease: validation of quantitative index of activity. Am J Gastroenterol 109:89–98

    Article  CAS  PubMed  Google Scholar 

  15. Buisson A, Joubert A, Montoriol PF et al (2013) Diffusion-weighted magnetic resonance imaging for detecting and assessing ileal inflammation in Crohn's disease. Aliment Pharmacol Ther 37:537–545

    Article  CAS  PubMed  Google Scholar 

  16. Tielbeek JA, Ziech ML, Li Z et al (2014) Evaluation of conventional, dynamic contrast enhanced and diffusion weighted MRI for quantitative Crohn's disease assessment with histopathology of surgical specimens. Eur Radiol 24:619–629

    Article  PubMed  Google Scholar 

  17. Ream JM, Dillman JR, Adler J et al (2013) MRI diffusion-weighted imaging (DWI) in pediatric small bowel Crohn disease: correlation with MRI findings of active bowel wall inflammation. Pediatr Radiol 43:1077–1085

    Article  PubMed  Google Scholar 

  18. Kim KJ, Lee Y, Park SH et al (2015) Diffusion-weighted MR enterography for evaluating Crohn's disease: how does it add diagnostically to conventional MR enterography? Inflamm Bowel Dis 21:101–109

    Article  CAS  PubMed  Google Scholar 

  19. Sakuraba H, Ishiguro Y, Hasui K et al (2014) Prediction of maintained mucosal healing in patients with Crohn's disease under treatment with infliximab using diffusion-weighted magnetic resonance imaging. Digestion 89:49–54

    Article  CAS  PubMed  Google Scholar 

  20. Caruso A, D'Inca R, Scarpa M et al (2014) Diffusion-weighted magnetic resonance for assessing ileal Crohn's disease activity. Inflamm Bowel Dis 20:1575–1583

    Article  PubMed  Google Scholar 

  21. Dohan A, Taylor S, Hoeffel C et al (2016) Diffusion-weighted MRI in Crohn's disease: current status and recommendations. J Magn Reson Imaging 44:1381–1396

    Article  PubMed  Google Scholar 

  22. Taylor SA, Avni F, Cronin CG et al (2016) The first joint ESGAR/ ESPR consensus statement on the technical performance of cross-sectional small bowel and colonic imaging. Eur Radiol. doi:10.1007/s00330-016-4615-9

    Google Scholar 

  23. Park SH, Huh J, Park SH, Lee SS, Kim AY, Yang SK (2016) Diffusion-weighted MR enterography for evaluating Crohn's disease: effect of anti-peristaltic agent on the diagnosis of bowel inflammation. Eur Radiol. doi:10.1007/s00330-016-4609-7

    Google Scholar 

  24. Choi SH, Kim KW, Lee JY, Kim KJ, Park SH (2016) Diffusion-weighted magnetic resonance enterography for evaluating bowel inflammation in Crohn's Disease: a systematic review and meta-analysis. Inflamm Bowel Dis 22:669–679

    Article  PubMed  Google Scholar 

  25. Lin G, Ng KK, Chang CJ et al (2009) Myometrial invasion in endometrial cancer: diagnostic accuracy of diffusion-weighted 3.0-T MR imaging–initial experience. Radiology 250:784–792

    Article  PubMed  Google Scholar 

  26. Kopylov U, Yablecovitch D, Lahat A et al (2015) Detection of small bowel mucosal healing and deep remission in patients with known small bowel Crohn's disease using biomarkers, capsule endoscopy, and imaging. Am J Gastroenterol 110:1316–1323

    Article  CAS  PubMed  Google Scholar 

  27. Greener T, Klang E, Yablecovitch D et al (2016) The impact of magnetic resonance enterography and capsule endoscopy on the re-classification of disease in patients with known Crohn's disease: a prospective Israeli IBD Research Nucleus (IIRN) Study. J Crohns Colitis. doi:10.1093/ecco-jcc/jjw006

    PubMed  PubMed Central  Google Scholar 

  28. Kopylov U, Klang E, Yablecovitch D et al (2016) Magnetic resonance enterography versus capsule endoscopy activity indices for quantification of small bowel inflammation in Crohn's disease. Therap Adv Gastroenterol 9:655–663

    Article  PubMed  PubMed Central  Google Scholar 

  29. Shrot S, Konen E, Hertz M, Amitai MM (2011) Magnetic resonance enterography: 4 years experience in a tertiary medical center. Isr Med Assoc J 13:172–177

    PubMed  Google Scholar 

  30. Van den Bosch T, Valentin L, Van Schoubroeck D et al (2012) Detection of intracavitary uterine pathology using offline analysis of three-dimensional ultrasound volumes: interobserver agreement and diagnostic accuracy. Ultrasound Obstet Gynecol 40:459–463

    Article  PubMed  Google Scholar 

  31. Park SH (2016) DWI at MR enterography for evaluating bowel inflammation in Crohn disease. AJR Am J Roentgenol 207:40–48

    Article  PubMed  Google Scholar 

  32. Maccioni F, Viola F, Carrozzo F et al (2012) Differences in the location and activity of intestinal Crohn's disease lesions between adult and paediatric patients detected with MRI. Eur Radiol 22:2465–2477

    Article  PubMed  Google Scholar 

  33. Herbst M, Zahneisen B, Knowles B, Zaitsev M, Ernst T (2015) Prospective motion correction of segmented diffusion weighted EPI. Magn Reson Med 74:1675–1681

    Article  PubMed  Google Scholar 

  34. Veeraraghavan H, Do RK, Reidy DL, Deasy JO (2015) Simultaneous segmentation and iterative registration method for computing ADC with reduced artifacts from DW-MRI. Med Phys 42:2249–2260

    Article  PubMed  Google Scholar 

  35. Guyader JM, Bernardin L, Douglas NH, Poot DH, Niessen WJ, Klein S (2015) Influence of image registration on apparent diffusion coefficient images computed from free-breathing diffusion MR images of the abdomen. J Magn Reson Imaging 42:315–330

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors wish to thank Shifra Fraifeld, an independent medical writer, for her editorial assistance during the preparation of this manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michal Marianne Amitai.

Ethics declarations

Guarantor

The scientific guarantor of this publication is Dr Michal Amitai.

Conflict of interest

The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

Funding

This study was partially funded by a generous grant from the Leona M. and Harry B. charitable trust.

Statistics and biometry

One of the authors (EK) has significant statistical expertise.

Informed consent

Written informed consent was obtained from all subjects (patients) in this study.

Ethical approval

Institutional review board approval was obtained.

Study subjects or cohorts overlap

Some data from the study subjects have been previously reported. See references 11, 22–24

Methodology

• prospective data collection, retrospective analysis

• observational

• performed at one institution

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Klang, E., Kopylov, U., Ben-Horin, S. et al. Assessment of patency capsule retention using MR diffusion-weighted imaging. Eur Radiol 27, 4979–4985 (2017). https://doi.org/10.1007/s00330-017-4857-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-017-4857-1

Keywords

Navigation