Computer-aided detection for the identification of pulmonary nodules in pediatric oncology patients: initial experience.
Background: Computer-aided detection (CAD) has been shown to increase the sensitivity for detection of pulmonary nodules in adults. This study reports initial findings utilizing a CAD system for the detection of pediatric pulmonary nodules.Objective: To assess the performance of CAD and pediatric ra...
| Publicado en: | Pediatric Radiology Vol. 39; no. 7; pp. 685 - 694 |
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| Autores principales: | , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jul2009
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105353538&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105353538 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03010449 O03 jtl: Pediatric Radiology issn: 03010449 maglogo: N pubinfo: dt: Jul2009 vid: 39 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105353538 NLM19418048 2010311099 10.1007/s00247-009-1259-9 NLM19418048 105353538 ppf: 685 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Computer-aided detection for the identification of pulmonary nodules in pediatric oncology patients: initial experience. aug: au: Helm EJ Silva CT Roberts HC Manson D Seed MT Amaral JG Babyn PS Helm, Emma J Silva, Cicero T Roberts, Heidi C Manson, David Seed, Mike T M Amaral, Joao G Babyn, Paul S affil: Department of Radiology, Churchill Hospital, Old Rd., Headington, Oxford, OX3 7LJ, UK sug: subj: Algorithms Artificial Intelligence Information Science Methods Radiographic Image Interpretation, Computer-Assisted Methods Tomography, X-Ray Computed Methods Adolescence Child Child, Preschool Female Lung Neoplasms Male Observer Bias Pilot Studies Radiographic Image Enhancement Methods Reproducibility of Results Sensitivity and Specificity Human Adolescent: 13-18 years Child: 6-12 years Child, Preschool: 2-5 years Female Male ab: Background: Computer-aided detection (CAD) has been shown to increase the sensitivity for detection of pulmonary nodules in adults. This study reports initial findings utilizing a CAD system for the detection of pediatric pulmonary nodules.Objective: To assess the performance of CAD and pediatric radiologists in the detection of pediatric pulmonary nodules.Materials and Methods: CT scans from a series of pediatric patients with known primary tumors and lung nodules were analyzed by four radiologists and a commercially available CAD system. IRB approval was obtained. Sensitivities were calculated for detection according to nodule size and location.Results: In 24 children (age 3-18 years) 173 nodules were identified. Overall the sensitivity of CAD was 34%, but the sensitivity of CAD for detection of nodules 4.0 mm or larger was 80%. Overall radiologist sensitivity ranged from 68% to 79%. There were 0.9 CAD false-positives and 0.3-2.4 radiologist false-positives per study.Conclusion: CAD in our pediatric oncology patients had good sensitivity for detection of lung nodules 4 mm and larger with a low number of false-positives. However, the sensitivity was considerably less for nodules smaller than 4 mm. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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