Literature DB >> 19895192

Interobserver variability in the assessment of CT imaging features of traumatic brain injury.

Kimberly A Chun1, Geoffrey T Manley, Shirley I Stiver, Ashley H Aiken, Nicholas Phan, Vincent Wang, Michele Meeker, Su-Chun Cheng, A D Gean, Max Wintermark.   

Abstract

The goal of our study was to determine the interobserver variability between observers with different backgrounds and experience when interpreting computed tomography (CT) imaging features of traumatic brain injury (TBI). We retrospectively identified a consecutive series of 50 adult patients admitted at our institution with a suspicion of TBI, and displaying a Glasgow Coma Scale score < or =12. Noncontrast CT (NCT) studies were anonymized and sent to five reviewers with different backgrounds and levels of experience, who independently reviewed each NCT scan. Each reviewer assessed multiple CT imaging features of TBI and assigned every NCT scan a Marshall and a Rotterdam grading score. The interobserver agreement and coefficient of variation were calculated for individual CT imaging features of TBI as well as for the two scores. Our results indicated that the imaging review by both neuroradiologists and neurosurgeons were consistent with each other. The kappa coefficient of agreement for all CT characteristics showed no significant difference in interpretation between the neurosurgeons and neuroradiologists. The average Bland and Altman coefficients of variation for the Marshall and Rotterdam classification systems were 12.7% and 21.9%, respectively, which indicates acceptable agreement among all five reviewers. In conclusion, there is good interobserver reproducibility between neuroradiologists and neurosurgeons in the interpretation of CT imaging features of TBI and calculation of Marshall and Rotterdam scores.

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Year:  2010        PMID: 19895192      PMCID: PMC2834438          DOI: 10.1089/neu.2009.1115

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  17 in total

Review 1.  Clinical trials in head injury.

Authors:  Raj K Narayan; Mary Ellen Michel; Beth Ansell; Alex Baethmann; Anat Biegon; Michael B Bracken; M Ross Bullock; Sung C Choi; Guy L Clifton; Charles F Contant; William M Coplin; W Dalton Dietrich; Jamshid Ghajar; Sean M Grady; Robert G Grossman; Edward D Hall; William Heetderks; David A Hovda; Jack Jallo; Russell L Katz; Nachshon Knoller; Patrick M Kochanek; Andrew I Maas; Jeannine Majde; Donald W Marion; Anthony Marmarou; Lawrence F Marshall; Tracy K McIntosh; Emmy Miller; Noel Mohberg; J Paul Muizelaar; Lawrence H Pitts; Peter Quinn; Gad Riesenfeld; Claudia S Robertson; Kenneth I Strauss; Graham Teasdale; Nancy Temkin; Ronald Tuma; Charles Wade; Michael D Walker; Michael Weinrich; John Whyte; Jack Wilberger; A Byron Young; Lorraine Yurkewicz
Journal:  J Neurotrauma       Date:  2002-05       Impact factor: 5.269

2.  Initial CT findings in 753 patients with severe head injury. A report from the NIH Traumatic Coma Data Bank.

Authors:  H M Eisenberg; H E Gary; E F Aldrich; C Saydjari; B Turner; M A Foulkes; J A Jane; A Marmarou; L F Marshall; H F Young
Journal:  J Neurosurg       Date:  1990-11       Impact factor: 5.115

3.  The diagnosis of head injury requires a classification based on computed axial tomography.

Authors:  L F Marshall; S B Marshall; M R Klauber; M Van Berkum Clark; H Eisenberg; J A Jane; T G Luerssen; A Marmarou; M A Foulkes
Journal:  J Neurotrauma       Date:  1992-03       Impact factor: 5.269

4.  Traumatic subarachnoid hemorrhage: demographic and clinical study of 750 patients from the European brain injury consortium survey of head injuries.

Authors:  Franco Servadei; Gordon D Murray; Graham M Teasdale; Mark Dearden; Fausto Iannotti; Françoise Lapierre; Andrew J R Maas; Abbi Karimi; Juha Ohman; Lennart Persson; Nino Stocchetti; Tomasz Trojanowski; Andy Unterberg
Journal:  Neurosurgery       Date:  2002-02       Impact factor: 4.654

5.  Prognostic value of computerized tomography scan characteristics in traumatic brain injury: results from the IMPACT study.

Authors:  Andrew I R Maas; Ewout W Steyerberg; Isabella Butcher; Ruben Dammers; Juan Lu; Anthony Marmarou; Nino A Mushkudiani; Gillian S McHugh; Gordon D Murray
Journal:  J Neurotrauma       Date:  2007-02       Impact factor: 5.269

6.  Influence of the type of intracranial lesion on outcome from severe head injury.

Authors:  T A Gennarelli; G M Spielman; T W Langfitt; P L Gildenberg; T Harrington; J A Jane; L F Marshall; J D Miller; L H Pitts
Journal:  J Neurosurg       Date:  1982-01       Impact factor: 5.115

7.  Prediction of outcome in traumatic brain injury with computed tomographic characteristics: a comparison between the computed tomographic classification and combinations of computed tomographic predictors.

Authors:  Andrew I R Maas; Chantal W P M Hukkelhoven; Lawrence F Marshall; Ewout W Steyerberg
Journal:  Neurosurgery       Date:  2005-12       Impact factor: 4.654

8.  Outcome prediction in severe head injury: analyses of clinical prognostic factors.

Authors:  J Ono; A Yamaura; M Kubota; Y Okimura; K Isobe
Journal:  J Clin Neurosci       Date:  2001-03       Impact factor: 1.961

Review 9.  Diagnostic procedures in mild traumatic brain injury: results of the WHO Collaborating Centre Task Force on Mild Traumatic Brain Injury.

Authors:  Jörgen Borg; Lena Holm; J David Cassidy; Paul M Peloso; Linda J Carroll; Hans von Holst; Kaj Ericson
Journal:  J Rehabil Med       Date:  2004-02       Impact factor: 2.912

10.  Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics.

Authors:  Ewout W Steyerberg; Nino Mushkudiani; Pablo Perel; Isabella Butcher; Juan Lu; Gillian S McHugh; Gordon D Murray; Anthony Marmarou; Ian Roberts; J Dik F Habbema; Andrew I R Maas
Journal:  PLoS Med       Date:  2008-08-05       Impact factor: 11.069

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  16 in total

1.  Quantitative CT improves outcome prediction in acute traumatic brain injury.

Authors:  Esther L Yuh; Shelly R Cooper; Adam R Ferguson; Geoffrey T Manley
Journal:  J Neurotrauma       Date:  2011-12-08       Impact factor: 5.269

2.  Use of Rotterdam CT scores for mortality risk stratification in children with traumatic brain injury.

Authors:  Kate Liesemer; Jay Riva-Cambrin; Kimberly Statler Bennett; Susan L Bratton; Henry Tran; Ryan R Metzger; Tellen D Bennett
Journal:  Pediatr Crit Care Med       Date:  2014-07       Impact factor: 3.624

3.  Functional Status Scale in Children With Traumatic Brain Injury: A Prospective Cohort Study.

Authors:  Tellen D Bennett; Rebecca R Dixon; Cory Kartchner; Peter E DeWitt; Yamila Sierra; Diane Ladell; Allison Kempe; Desmond K Runyan; J Michael Dean; Heather T Keenan
Journal:  Pediatr Crit Care Med       Date:  2016-12       Impact factor: 3.624

4.  A clinical decision rule to predict intracranial hypertension in severe traumatic brain injury.

Authors:  Aziz S Alali; Nancy Temkin; Jason Barber; Jim Pridgeon; Kelley Chaddock; Sureyya Dikmen; Peter Hendrickson; Walter Videtta; Silvia Lujan; Gustavo Petroni; Nahuel Guadagnoli; Zulma Urbina; Randall M Chesnut
Journal:  J Neurosurg       Date:  2018-09-28       Impact factor: 5.115

5.  Association of initial CT findings with quality-of-life outcomes for traumatic brain injury in children.

Authors:  Jonathan O Swanson; Monica S Vavilala; Jin Wang; Sumit Pruthi; James Fink; Kenneth M Jaffe; Dennis Durbin; Thomas Koepsell; Nancy Temkin; Frederick P Rivara
Journal:  Pediatr Radiol       Date:  2012-03-21

6.  Subarachnoid hemorrhage prevalence and its association with short-term outcome in pediatric severe traumatic brain injury.

Authors:  Elana Hochstadter; Tanya Charyk Stewart; Ibrahim M Alharfi; Adrianna Ranger; Douglas D Fraser
Journal:  Neurocrit Care       Date:  2014-12       Impact factor: 3.210

7.  Automatic Quantification of Computed Tomography Features in Acute Traumatic Brain Injury.

Authors:  Saurabh Jain; Thijs Vande Vyvere; Vasilis Terzopoulos; Diana Maria Sima; Eloy Roura; Andrew Maas; Guido Wilms; Jan Verheyden
Journal:  J Neurotrauma       Date:  2019-02-01       Impact factor: 5.269

8.  Duration of Posttraumatic Amnesia Predicts Neuropsychological and Global Outcome in Complicated Mild Traumatic Brain Injury.

Authors:  Tessa Hart; Thomas A Novack; Nancy Temkin; Jason Barber; Sureyya S Dikmen; Ramon Diaz-Arrastia; Joseph Ricker; Dale C Hesdorffer; Jack Jallo; Nancy H Hsu; Ross Zafonte
Journal:  J Head Trauma Rehabil       Date:  2016 Nov/Dec       Impact factor: 2.710

Review 9.  Contribution of CT-Scan Analysis by Artificial Intelligence to the Clinical Care of TBI Patients.

Authors:  Clément Brossard; Benjamin Lemasson; Arnaud Attyé; Jules-Arnaud de Busschère; Jean-François Payen; Emmanuel L Barbier; Jules Grèze; Pierre Bouzat
Journal:  Front Neurol       Date:  2021-06-10       Impact factor: 4.003

10.  Day-of-Injury Computed Tomography and Longitudinal Rehabilitation Outcomes: A Comparison of the Marshall and Rotterdam Computed Tomography Scoring Methods.

Authors:  Kayla M Frodsham; Joseph E Fair; R Brock Frost; Ramona O Hopkins; Erin D Bigler; Sarah Majercik; Joseph Bledsoe; David Ryser; Joel MacDonald; Ryan Barrett; Susan D Horn; David Pisani; Mark Stevens; Michael J Larson
Journal:  Am J Phys Med Rehabil       Date:  2020-09       Impact factor: 3.412

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