Liao, Li JenLi JenLiaoWang, Chi TeChi TeWangYI-HO YOUNGCheng, Po WenPo WenCheng2023-02-172023-02-172010-05-0110433074https://scholars.lib.ntu.edu.tw/handle/123456789/628284Background. To identify malignant cervical lymphadenopathy, we established a real-time, computerized scoring system based on sonographic findings and demographic data. Methods. One hundred eight patients with neck lymphadenopathy, receiving ultrasonography and ultrasound-guided fine-needle aspiration (US-FNA), were used to construct a predictive model. This model was validated by another independent patient cohort. Results. A predictive scoring scale was proposed by multivariate logistic regression analysis: 0.06 x (age) + 4.76 x (S/L ratio) + 2.15 x (internal echo) + 1.80 x (vascular pattern). Cervical lymphadenopathy was regarded as malignant with a score ≥7. The formula was programmed into a synchronized, computerized sonographic reporting system. Prospective validation of this predictive tool showed excellent sensitivity (100%), specificity (88.0%), and overall accuracy (90.1%). Conclusion. A real-time and practical sonographic scoring system was built and validated to provide the physician prompt and reliable probability guidance for performing US-FNA cytology in managing cervical lymphadenopathy. © 2009 Wiley Periodicals, Inc.enAge | Cervical lymphadenopathy | Fine needle aspiration | Predictor | Sonography[SDGs]SDG3journal article10.1002/hed.21225196939432-s2.0-77951599120WOS:000277347100007https://api.elsevier.com/content/abstract/scopus_id/77951599120