Ultrasonographic evaluation of small cervical lymph nodes in head and neck cancer.
To establish sonographic criteria for differentiating metastasis and nonmetastasis in small cervical lymph nodes, correlations between sonographic parameters and histological diagnosis were statistically examined in 117 lymph nodes with maximal diameter of up to 10 mm in the sonographic findings, consisting of 26 metastatic and 91 nonmetastatic nodes. The equations obtained with logistic regression analysis showed lambda predictive values of -1.5 and 0.5 as effective cutoff-point criteria, and were considered to be a reliable indicator for differentiating small nodes with predictive values outside of -1.5 < lambda < 0.5. The sensitivity, specificity and accuracy with predictive values outside of -1.5 < lambda < 0.5 were 83%, 97% and 95%, respectively.
Yoshida
H
H
Department of Oral and Maxillofacial Surgery, University of Tsukuba, Japan. hyoshida@md.tsukuba.ac.jp
Yusa
H
H
Ueno
E
E
Tohno
E
E
Tsunoda-Shimizu
H
H
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002294:Carcinoma, Squamous Cell / Q000000981:diagnostic imaging* / Q000473:pathology; D003937:Diagnosis, Differential; D005260:Female; D006258:Head and Neck Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology; D006801:Humans; D016015:Logistic Models; D008198:Lymph Nodes / Q000000981:diagnostic imaging* / Q000473:pathology; D008207:Lymphatic Metastasis; D008297:Male; D008875:Middle Aged; D009333:Neck; D009367:Neoplasm Staging; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D014463:Ultrasonography / Q000295:instrumentation / Q000379:methods / Q000706:statistics & numerical data