Literature DB >> 22009855

Variability in the interpretation of chest radiographs for the diagnosis of pneumonia in children.

Mark I Neuman1, Edward Y Lee, Sarah Bixby, Stephanie Diperna, Jeffrey Hellinger, Richard Markowitz, Sabah Servaes, Michael C Monuteaux, Samir S Shah.   

Abstract

BACKGROUND: Although chest radiography is commonly used to establish the diagnosis of pneumonia in children, the reliability of radiographic findings among radiologists is not well described.
OBJECTIVE: We sought to evaluate the inter-rater and intra-rater reliability of radiographic features commonly described by radiologists in childhood pneumonia.
METHODS: Prospective case-based study. One hundred and ten radiographs of children evaluated in a pediatric emergency department for suspicion of pneumonia were interpreted by six radiologists at two academic children's hospitals. Radiologists were blinded to the clinical history. Reliability of standardized radiographic features was evaluated using the kappa statistic.
RESULTS: The radiographic finding of an alveolar infiltrate demonstrated substantial reliability among radiologists (κ = 0.69). The presence of 'any infiltrate' and pleural effusion demonstrated moderate reliability (κ = 0.47 and k=0.45, respectively). Other radiographic features were less reliable: air bronchograms (κ = 0.32), hilar adenopathy (κ = 0.21), and interstitial infiltrate (κ = 0.14). Similarly, the finding of alveolar infiltrate demonstrated substantial intra-rater reliability upon review of ten duplicate radiographs, whereas interstitial infiltrate was less reliable.
CONCLUSION: The radiographic finding of an alveolar infiltrate is very reliable among pediatric radiologists, whereas the finding of an interstitial infiltrate is less reliable.
Copyright © 2011 Society of Hospital Medicine.

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Year:  2011        PMID: 22009855     DOI: 10.1002/jhm.955

Source DB:  PubMed          Journal:  J Hosp Med        ISSN: 1553-5592            Impact factor:   2.960


  22 in total

1.  Interpretation of pediatric chest radiographs by non-radiologist clinicians in Botswana using World Health Organization criteria for endpoint pneumonia.

Authors:  Oluwatunmise A Fawole; Matthew S Kelly; Andrew P Steenhoff; Kristen A Feemster; Eric J Crotty; Mantosh S Rattan; Thuso David; Tiny Mazhani; Samir S Shah; Savvas Andronikou; Tonya Arscott-Mills
Journal:  Pediatr Radiol       Date:  2020-06-10

2.  Performance Evaluation of the Deep Learning Based Convolutional Neural Network Approach for the Recognition of Chest X-Ray Images.

Authors:  Sandhya Sharma; Sheifali Gupta; Deepali Gupta; Junaid Rashid; Sapna Juneja; Jungeun Kim; Mahmoud M Elarabawy
Journal:  Front Oncol       Date:  2022-06-29       Impact factor: 5.738

3.  Admission chest radiographs predict illness severity for children hospitalized with pneumonia.

Authors:  Lauren McClain; Matthew Hall; Samir S Shah; Joel S Tieder; Angela L Myers; Katherine Auger; Angela M Statile; Karen Jerardi; Mary Ann Queen; Evan Fieldston; Derek J Williams
Journal:  J Hosp Med       Date:  2014-06-18       Impact factor: 2.960

4.  Using machine learning to identify health outcomes from electronic health record data.

Authors:  Jenna Wong; Mara Murray Horwitz; Li Zhou; Sengwee Toh
Journal:  Curr Epidemiol Rep       Date:  2018-09-20

5.  Accuracy of the interpretation of chest radiographs for the diagnosis of paediatric pneumonia.

Authors:  Mohamed A Elemraid; Michelle Muller; David A Spencer; Stephen P Rushton; Russell Gorton; Matthew F Thomas; Katherine M Eastham; Fiona Hampton; Andrew R Gennery; Julia E Clark
Journal:  PLoS One       Date:  2014-08-22       Impact factor: 3.240

6.  Standardized Interpretation of Chest Radiographs in Cases of Pediatric Pneumonia From the PERCH Study.

Authors:  Nicholas Fancourt; Maria Deloria Knoll; Breanna Barger-Kamate; John de Campo; Margaret de Campo; Mahamadou Diallo; Bernard E Ebruke; Daniel R Feikin; Fergus Gleeson; Wenfeng Gong; Laura L Hammitt; Rasa Izadnegahdar; Anchalee Kruatrachue; Shabir A Madhi; Veronica Manduku; Fariha Bushra Matin; Nasreen Mahomed; David P Moore; Musaku Mwenechanya; Kamrun Nahar; Claire Oluwalana; Micah Silaba Ominde; Christine Prosperi; Joyce Sande; Piyarat Suntarattiwong; Katherine L O'Brien
Journal:  Clin Infect Dis       Date:  2017-06-15       Impact factor: 9.079

Review 7.  Community-acquired pneumonia in children - a changing spectrum of disease.

Authors:  David M le Roux; Heather J Zar
Journal:  Pediatr Radiol       Date:  2017-09-21

8.  Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs.

Authors:  Sivaramakrishnan Rajaraman; Sema Candemir; Incheol Kim; George Thoma; Sameer Antani
Journal:  Appl Sci (Basel)       Date:  2018-09-20       Impact factor: 2.679

9.  Impact of the 7-valent pneumococcal conjugate vaccine on the incidence of childhood pneumonia.

Authors:  M A Elemraid; S P Rushton; M D F Shirley; M F Thomas; D A Spencer; K M Eastham; F Hampton; R Gorton; K Pollard; A R Gennery; J E Clark
Journal:  Epidemiol Infect       Date:  2012-10-19       Impact factor: 2.451

10.  Progression of the Radiologic Severity Index predicts mortality in patients with parainfluenza virus-associated lower respiratory infections.

Authors:  Ajay Sheshadri; Dimpy P Shah; Myrna Godoy; Jeremy J Erasmus; Juhee Song; Liang Li; Scott E Evans; Roy F Chemaly; Burton F Dickey; David E Ost
Journal:  PLoS One       Date:  2018-05-17       Impact factor: 3.240

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