Literature DB >> 26500360

Intra- and inter-observer reliability of the Cobb measurement by chiropractic interns using digital evaluation methods.

Jesse Cracknell1, Douglas M Lawson2, John A Taylor2.   

Abstract

INTRODUCTION: It is important to create a body of evidence surrounding the reliability of certain diagnostic criteria. While the reliability of the Cobb measurement is well established with various licensed health care professionals, this study aims to determine the inter- and intra-observer reliability of the Cobb Measurement among chiropractic interns.
METHODS: Fourteen chiropractic interns analyzed 10 pre-selected digital spinal radiographs on a Picture Archiving and Communication System (PACS) in two separate rounds of observation. The participants indicated their choice of end vertebra and Cobb Measurement in each round of observation. Agreement on vertebral levels selected was estimated using percentage agreement. Intra-observer reliability was estimated using the Pearson r correlation coefficient, and inter-observer correlation was estimated using the Inter-Class Coefficient (ICC).
RESULTS: The range of percentage agreement on vertebral level selection was 0.36 - 0.79. The Pearson r correlation coefficient for round 1 and round 2 was 0.79. The ICC (3,1) was 0.79 (round 1), and 0.70 (round 2).
CONCLUSION: Less than optimal agreement on end vertebrae selection was found between observers. Intra- and inter-observer reliability of the Cobb Measurement was 'excellent' (round 1) and 'good' (round 2).

Entities:  

Keywords:  Cobb measurement; chiropractic; reliability; scoliosis

Year:  2015        PMID: 26500360      PMCID: PMC4593040     

Source DB:  PubMed          Journal:  J Can Chiropr Assoc        ISSN: 0008-3194


  9 in total

Review 1.  Radiographic evaluation of scoliosis: review.

Authors:  David Malfair; Anne K Flemming; Marcel F Dvorak; Peter L Munk; Alexandra T Vertinsky; Manraj K Heran; Doug A Graeb
Journal:  AJR Am J Roentgenol       Date:  2010-03       Impact factor: 3.959

2.  A comparison of manual versus computer-assisted radiographic measurement. Intraobserver measurement variability for Cobb angles.

Authors:  K G Shea; P M Stevens; M Nelson; J T Smith; K S Masters; S Yandow
Journal:  Spine (Phila Pa 1976)       Date:  1998-03-01       Impact factor: 3.468

3.  Measurement of scoliosis and kyphosis radiographs. Intraobserver and interobserver variation.

Authors:  D L Carman; R H Browne; J G Birch
Journal:  J Bone Joint Surg Am       Date:  1990-03       Impact factor: 5.284

4.  Measurement of the Cobb angle on radiographs of patients who have scoliosis. Evaluation of intrinsic error.

Authors:  R T Morrissy; G S Goldsmith; E C Hall; D Kehl; G H Cowie
Journal:  J Bone Joint Surg Am       Date:  1990-03       Impact factor: 5.284

5.  Variability of scoliosis measurement from spinal roentgenograms.

Authors:  C E Beekman; V Hall
Journal:  Phys Ther       Date:  1979-06

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Authors:  C Gross; M Gross; S Kuschner
Journal:  Bull Hosp Jt Dis Orthop Inst       Date:  1983

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Authors:  M Oda; S Rauh; P B Gregory; F N Silverman; E E Bleck
Journal:  J Pediatr Orthop       Date:  1982-10       Impact factor: 2.324

8.  Reliability analysis for manual measurement of coronal plane deformity in adolescent scoliosis. Are 30 x 90 cm plain films better than digitized small films?

Authors:  Antonio De Carvalho; Raphaël Vialle; Laurent Thomsen; Julien Amzallag; Guillaume Cluzel; Hubert Ducou le Pointe; Pierre Mary
Journal:  Eur Spine J       Date:  2007-07-10       Impact factor: 3.134

9.  Inter- and intraobserver reliability assessment of the Cobb angle: manual versus digital measurement tools.

Authors:  Michaela Gstoettner; Katrin Sekyra; Nadja Walochnik; Peter Winter; Roland Wachter; Christian M Bach
Journal:  Eur Spine J       Date:  2007-06-05       Impact factor: 3.134

  9 in total
  1 in total

1.  Localization and Edge-Based Segmentation of Lumbar Spine Vertebrae to Identify the Deformities Using Deep Learning Models.

Authors:  Malaika Mushtaq; Muhammad Usman Akram; Norah Saleh Alghamdi; Joddat Fatima; Rao Farhat Masood
Journal:  Sensors (Basel)       Date:  2022-02-17       Impact factor: 3.576

  1 in total

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