Application of Computer-Aided Diagnosis to the Sonographic Evaluation of Cervical Lymph Nodes.
We initiated an observer study to evaluate a computerized system developed in our previous study for automatic extraction of 10 features and estimation of the malignancy probability of cervical nodes in sonograms. In the present study, five expert radiologists and five resident radiologists interpre...
| Publicado en: | Ultrasonic Imaging Vol. 38; no. 2; pp. 159 - 172 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
Sage Publications Inc.
Mar2016
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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=112942084&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 112942084 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01617346 2HF jtl: Ultrasonic Imaging issn: 01617346 maglogo: Y pubinfo: dt: Mar2016 vid: 38 iid: 2 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 112942084 112942084 NLM26025577 112942084 10.1177/0161734615589080 NLM26025577 112942084 ppf: 159 ppct: 13 formats: tig: atl: Application of Computer-Aided Diagnosis to the Sonographic Evaluation of Cervical Lymph Nodes. aug: au: Zhang, Junhua Wang, Yuanyuan Yu, Bo Shi, Xinling Zhang, Yufeng affil: Department of Electronic Engineering, Yunnan University, Kunming, People's Republic of China sug: subj: Ultrasonography Lymphatic Diseases Lymph Nodes Diagnosis, Computer Assisted Methods Sensitivity and Specificity Observer Bias Biopsy Neck Human Neoplasm Metastasis Lymphatic Diseases Pathology ROC Curve Validation Studies Comparative Studies Evaluation Research Multicenter Studies ab: We initiated an observer study to evaluate a computerized system developed in our previous study for automatic extraction of 10 features and estimation of the malignancy probability of cervical nodes in sonograms. In the present study, five expert radiologists and five resident radiologists interpreted the sonograms of 178 nodes. The malignancy rating and patient management recommendation (biopsy or follow-up) were made without and then with the computer aid. Under these two reading conditions, the performances of radiologists and agreement among a group of radiologists were evaluated by using the receiver operating characteristic (ROC) analysis and the κ statistic, respectively. With the computer aid, the performances of radiologists improved significantly, as indicated by the increase in the area under the ROC curve (Az) from 0.843 to 0.896 (p = 0.031) and from 0.705 to 0.822 (p < 0.001), for the expert and resident groups, respectively. Agreement among all 10 radiologists improved from slight to moderate as indicated by an increase in the κ value from 0.195 to 0.421 (p < 0.001). The average performance of residents with aid (Az = 0.822) was close to that of experts without aid (Az = 0.843). Results indicate that computer-aided diagnosis is useful to improve radiologist performance (especially that of inexperienced radiologists) in the ultrasonographic evaluation of cervical nodes and to reduce variability among radiologists. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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