RESUMO
Curvilinear ultrasound transducers are commonly used in various needle insertion interventions, but localizing the needle in curvilinear ultrasound images is usually challenging. In this paper, a new method is proposed to localize the needle in curvilinear ultrasound images by exciting the needle using a piezoelectric buzzer and imaging the excited needle using a curvilinear ultrasound transducer to acquire a power Doppler image and a B-mode image. The needle-induced Doppler responses that appear in the power Doppler image are analyzed to estimate the needle axis initially and identify the candidate regions that are expected to include the needle. The candidate needle regions in the B-mode image are analyzed to improve the localization of the needle axis. The needle tip is determined by analyzing the intensity variations of the power Doppler and B-mode images around the needle axis. The proposed method is employed to localize different needles that are inserted in three ex vivo animal tissue types at various insertion angles, and the results demonstrate the capability of the method to achieve automatic, reliable and accurate needle localization. Furthermore, the proposed method outperformed two existing needle localization methods.
Assuntos
Interpretação de Imagem Assistida por Computador/métodos , Ultrassonografia Doppler/métodos , Animais , Bovinos , Desenho de Equipamento , Estudos de Viabilidade , Fígado/diagnóstico por imagem , Músculo Esquelético/diagnóstico por imagem , Agulhas , Ultrassonografia Doppler/instrumentaçãoRESUMO
OBJECTIVE: The aim of this retrospective study was to develop a thyroid nodule scoring system for malignancy potential to better select nodules for ultrasound (US)-guided fine needle aspiration (FNA). MATERIALS AND METHODS: US-guided FNA was performed on 2375 thyroid nodules in successive patients. Cytologic or histopathologic confirmation of disease state in 2002 lesions showed that 148 were malignant. We developed an extended scoring system to provide more decision levels than standard scoring by including weak (macrocalcification, eggshell calcification, hypoechogenicity, solid consistency) as well as strong indicators of malignancy (microcalcification, hypoechogenicity, lobulated or ill-defined margins, taller-than-wide shape, suspicious lymph nodes) and by including contraindications (hyperechogenicity, comet-tail artifact, complete halo, cystic or microcystic). ROC analysis was used to compare detection accuracy and decision thresholds resulting from standard scoring using five major features with extended scoring. RESULTS: Although an accuracy advantage was found for the extended scoring over standard scoring, we discount this finding because our scoring involved a preliminary analysis. However, the extended scoring offers more reporting options for certainty of malignancy: standard scoring gave four potential thresholds for reporting; extended scoring gave nine. The most useful of the additional thresholds captured nearly 88% of malignancies but resulted in only 28% of patients without malignancy undergoing biopsy. CONCLUSION: Our extended Thyroid Imaging Reporting and Data System scoring provides more operating points to support treatment decisions. A simplified decision rule-biopsy every nodule with at least two weak features or one strong feature-preserves the most useful of the new decision thresholds from extended scoring.