Literature DB >> 27422894

Development of a Screening Tool for the Identification of Sacroiliitis in Computed Tomography Scans of the Abdomen.

Jonathan Chan1, Ismail Sari1, David Salonen1, Robert D Inman1, Nigil Haroon2.   

Abstract

OBJECTIVE: To develop a screening tool for the identification of sacroiliitis on abdominal computed tomography (CT) scan.
METHODS: Variables including erosions (number and size), sclerosis (depths of > 0.3 cm or > 0.5 cm), and ankylosis were identified through a training exercise involving 12 CT scans containing the sacroiliac joints. Two blinded readers read 24 CT scans from a derivation cohort to propose a screening tool for identifying discriminating features of sacroiliitis. A test cohort of 68 patients was used to confirm the utility of this tool. Inter- and intraobserver values, sensitivity, specificity, and positive/negative likelihood ratios were calculated for individual as well as combinations of variables. Erosions were evaluated using receiver-operating characteristic curves.
RESULTS: Analysis of the derivation cohort determined that counting the number of erosions on the worst coronal slice in each of 4 articular surfaces was not inferior to analyzing each individual slice in either transverse or coronal view. In the test cohort, interreader reliability for ankylosis and iliac and sacral erosions was very good (κ = 1, ICC = 0.989 and 0.995, respectively) whereas for sclerosis, it was moderate (κ = 0.39-0.96). A total erosion score of ≥ 3 was found to have the highest sensitivity and specificity for sacroiliitis (91% for each). The addition of a > 0.5 cm of iliac sclerosis or a > 0.3 cm of sacral sclerosis marginally increased the sensitivity (94%) but decreased specificity (85%).
CONCLUSION: The presence of ankylosis or a total erosion score of ≥ 3 on CT is sufficient for identifying patients at high risk of sacroiliitis and may prompt more timely referrals to a rheumatologist.

Entities:  

Keywords:  ANKYLOSING SPONDYLITIS; RADIOGRAPHIC COMPUTED TOMOGRAPHY; SPONDYLOARTHRITIS

Mesh:

Year:  2016        PMID: 27422894     DOI: 10.3899/jrheum.150939

Source DB:  PubMed          Journal:  J Rheumatol        ISSN: 0315-162X            Impact factor:   4.666


  4 in total

1.  Analysis of the early signs of septic sacroiliitis on computed tomography.

Authors:  Maxime Sondag; Katia Gete; Frank Verhoeven; Sebastien Aubry; Clément Prati; Daniel Wendling
Journal:  Eur J Rheumatol       Date:  2019-05-20

2.  Sacroiliac joint in sarcoidosis on computed tomography: a monocentric retrospective study (SISTER).

Authors:  Simon Cadiou; Guillaume Coiffier; Stéphane Jouneau; Patrick Jego; Aleth Perdriger; Nicolas Belhomme; Raphaël Guillin; Pascal Guggenbuhl
Journal:  Rheumatol Int       Date:  2021-10-12       Impact factor: 2.631

3.  Utility of CT imaging in differentiating sacroiliitis associated with spondyloarthritis from gouty sacroiliitis: a retrospective study.

Authors:  Jyoti Panwar; Pulukool Sandhya; Madhavi Kandagaddala; Aswin Nair; Visalakshi Jeyaseelan; Debashish Danda
Journal:  Clin Rheumatol       Date:  2017-11-08       Impact factor: 2.980

4.  Subclinical sacroiliitis detected by abdominopelvic computed tomography in Korean patients with Crohn's disease.

Authors:  You-Jung Ha; Hyo Jin Kim; Eugene Lee; Ji Hye Park; Young Soo Park; Yun Jong Lee; Yusuhn Kang; Hyuk Yoon
Journal:  Korean J Intern Med       Date:  2021-03-22       Impact factor: 2.884

  4 in total

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