Computer-aided diagnosis for World Health Organization-defined chest radiograph primary-endpoint pneumonia in children.
Background: The chest radiograph is the most common imaging modality to assess childhood pneumonia. It has been used in epidemiological and vaccine efficacy/effectiveness studies on childhood pneumonia.Objective: To develop computer-aided diagnosis (CAD4Kids) for chest radiography in children and to...
| Published in: | Pediatric Radiology Vol. 50; no. 4; pp. 482 - 492 |
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| Main Authors: | , , , , , , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
Apr2020
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=142205017&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142205017 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03010449 O03 jtl: Pediatric Radiology issn: 03010449 maglogo: N pubinfo: dt: Apr2020 vid: 50 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 142205017 142205017 NLM31930429 142205017 10.1007/s00247-019-04593-0 NLM31930429 142205017 ppf: 482 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Computer-aided diagnosis for World Health Organization-defined chest radiograph primary-endpoint pneumonia in children. aug: au: Mahomed, Nasreen van Ginneken, Bram Philipsen, Rick H. H. M. Melendez, Jaime Moore, David P. Moodley, Halvani Sewchuran, Tanusha Mathew, Denny Madhi, Shabir A. affil: Department of Radiology, Faculty of Health Sciences, University of Witwatersrand, 2000, Johannesburg, South Africa sug: subj: Pneumonia World Health Organization Diagnosis, Computer Assisted Methods Radiography, Thoracic Methods Infant Child, Preschool Child Male Infant, Newborn Adolescence Female Funding Source Infant: 1-23 months Child, Preschool: 2-5 years Child: 6-12 years Infant, Newborn: birth-1 month Adolescent: 13-18 years Male Female ab: Background: The chest radiograph is the most common imaging modality to assess childhood pneumonia. It has been used in epidemiological and vaccine efficacy/effectiveness studies on childhood pneumonia.Objective: To develop computer-aided diagnosis (CAD4Kids) for chest radiography in children and to evaluate its accuracy in identifying World Health Organization (WHO)-defined chest radiograph primary-endpoint pneumonia compared to a consensus interpretation.Materials and Methods: Chest radiographs were independently evaluated by three radiologists based on WHO criteria. Automatic lung field segmentation was followed by manual inspection and correction, training, feature extraction and classification. Radiographs were filtered with Gaussian derivatives on multiple scales, extracting texture features to classify each pixel in the lung region. To obtain an image score, the 95th percentile score of the pixels was used. Training and testing were done in 10-fold cross validation.Results: The radiologist majority consensus reading of 858 interpretable chest radiographs included 333 (39%) categorised as primary-endpoint pneumonia, 208 (24%) as other infiltrate only and 317 (37%) as no primary-endpoint pneumonia or other infiltrate. Compared to the reference radiologist consensus reading, CAD4Kids had an area under the receiver operator characteristic (ROC) curve of 0.850 (95% confidence interval [CI] 0.823-0.876), with a sensitivity of 76% and specificity of 80% for identifying primary-endpoint pneumonia on chest radiograph. Furthermore, the ROC curve was 0.810 (95% CI 0.772-0.846) for CAD4Kids identifying primary-endpoint pneumonia compared to other infiltrate only.Conclusion: Further development of the CAD4Kids software and validation in multicentre studies are important for future research on computer-aided diagnosis and artificial intelligence in paediatric radiology. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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