Abdominal Imaging

, Volume 33, Issue 5, pp 582–588 | Cite as

Adult intestinal intussusception: can abdominal MDCT distinguish an intussusception caused by a lead point?

  • Silvia Tresoldi
  • Young H. Kim
  • Michael A. Blake
  • Mukesh G. Harisinghani
  • Peter F. Hahn
  • Stephen P. Baker
  • Peter R. Mueller
  • Krishna Kandarpa
Article

Abstract

Background

Aim of our study was to assess the ability of computed tomography to distinguish between an intussusception with a lead-point from one without it.

Methods

Approval was granted by the Institutional Review Board. Ninety-three consecutive patients diagnosed with an intussusception on abdominal CT were classified with or without lead-point by surgery, clinical or radiological follow-up. Two radiologists blinded to the classification independently reviewed the CT images for predefined predictive variables.

Results

Non-lead-point intussusception was shorter in length (mean 4.9 vs. 11.1 cm for Reader 1 (R1); mean 4.0 vs. 8.9 cm for Reader 2 (R2), respectively, P < 0.001), smaller in axial diameter (mean 3.0 vs. 4.8 cm for R1; mean 2.8 vs. 4.4 cm for R2, P < 0.001, respectively), less likely associated with obstruction (P = 0.002 R1; P = 0.039 R2) and infiltration (P < 0.001 for R1, P = 0.003 R2) than lead-point intussusception.

Conclusions

Abdominal CT is helpful in distinguishing between an intussusception with a lead-point from one without a lead-point. Length, axial diameter, and their product, as well as obstruction and infiltration, all suggest the presence of a lead-point. Analysis of CT findings can reduce unnecessary imaging follow-up or operation.

Key words

Computed tomography Spiral-computed tomography Multislice abdominal imaging Small bowel disease Large bowel disease 

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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Silvia Tresoldi
    • 1
  • Young H. Kim
    • 2
  • Michael A. Blake
    • 3
  • Mukesh G. Harisinghani
    • 3
  • Peter F. Hahn
    • 3
  • Stephen P. Baker
    • 4
  • Peter R. Mueller
    • 3
  • Krishna Kandarpa
    • 2
  1. 1.Department of Diagnostic and Interventional RadiologySan Paolo Hospital, University of MilanMilanItaly
  2. 2.Department of RadiologyUmass Memorial Medical Center, University of Massachusetts Medical SchoolWorcesterUSA
  3. 3.Department of RadiologyMassachusetts General Hospital, Harvard Medical SchoolBostonUSA
  4. 4.IS Bioinformatics UnitUniversity of Massachusetts Medical SchoolWorcesterUSA

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