Int J Comput Assist Radiol Surg - Hybrid method for the detection of pulmonary nodules using positron emission tomography/computed tomography: a preliminary study.

Tópicos

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Resumo

RPOSE: In this study, an automated scheme for detecting pulmonary nodules using a novel hybrid PET/CT approach is proposed, which is designed to detect pulmonary nodules by combining data from both sets of images.METHODS: Solitary nodules were detected on CT by a cylindrical filter that we developed previously, and in the PET imaging, high-uptake regions were detected automatically using thresholding based on standardized uptake values along with false-positive reduction by means of the anatomical information obtained from the CT images. Initial candidate nodules were identified by combining the results. False positives among the initial candidates were eliminated by a rule-based classifier and three support vector machines on the basis of the characteristic features obtained from CT and PET images.RESULTS: We validated the proposed method using 100 cases of PET/CT images that were obtained during a cancer-screening program. The detection performance was assessed by free-response receiver operating characteristic (FROC) analysis. The sensitivity was 83.0% with the number of false positives/case at 5.0, and it was 8% higher than the sensitivity of independent detection systems using CT or PET images alone.CONCLUSION: Detection performance indicates that our method may be of practical use for the identification of pulmonary nodules in PET/CT images.

Resumo Limpo

rpose studi autom scheme detect pulmonari nodul use novel hybrid petct approach propos design detect pulmonari nodul combin data set imagesmethod solitari nodul detect ct cylindr filter develop previous pet imag highuptak region detect automat use threshold base standard uptak valu along falseposit reduct mean anatom inform obtain ct imag initi candid nodul identifi combin result fals posit among initi candid elimin rulebas classifi three support vector machin basi characterist featur obtain ct pet imagesresult valid propos method use case petct imag obtain cancerscreen program detect perform assess freerespons receiv oper characterist froc analysi sensit number fals positivescas higher sensit independ detect system use ct pet imag aloneconclus detect perform indic method may practic use identif pulmonari nodul petct imag

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