Congress:
ECR24
Poster Number:
C-11913
Type:
EPOS Radiologist (scientific)
Authorblock:
E. Cho, H. J. Baek, Y. Jeong; Changwon/KR
Disclosures:
Eun Cho:
Nothing to disclose
Hye Jin Baek:
Nothing to disclose
Yujin Jeong:
Nothing to disclose
Keywords:
Head and neck, CT, Ultrasound, Biopsy, Cancer, Metastases
<Patients>

Study patients (87 oncology patients)
- M : F = 59 (67.8%) : 28 (32.2%)
- Age: 64.7 ± 11.6 years (range, 30-88 years)
- Primary site of malignancies: lung cancer (n = 51), esophageal cancer (n = 9), breast cancer (n = 8), pancreas cancer (n = 7), gastric cancer (n = 6), prostate cancer (n = 5), hypopharyngeal cancer (n = 1)
<Clinical and Radiological factors>
Clinical factors
- Sex, age, lung disease (i.e., anthracofibrosis, pneumonia, interstitial lung disease), malignancy type (lung cancer vs. non-lung cancer)
US evaluation by two neuroradiologists using EPIQ 7 unit (Philips Medical System, Bothell, WA)
- Criteria for metastastic lymph node during US examination
- Size: short-axis diameter > 0.8 cm
- Shape: round, short/long axis ratio > 0.5
- Echogenicity: hypoechogenicity or heterogeneous internal echogenicity
- Loss of fatty hilum
- Presence of intranodal necrosis and calcification
US-FNA or US-CNB were performed in all included LNs.
<Statistical analysis>
Determining the diagnostic indices of subsequent neck US for LNs detected on chest CT
- Receiver operatic characteristic (ROC) analysis: sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), diagnostic accuracy
Comparing the differences between the false-positive and true-positive groups
- The Wilcoxon rank-sum test for continuous variables
- The chi-square or Fisher exact test for categorical variables
ROC curve analysis for obtaining the optimal cut-off value of age
- age cut-off: 65 years
- AUC (area under the ROC curve), 0.722 -> the largest AUC
- 95% CI [0.607-0.819], P-value < 0.001
Univariate and multivariable logistic regressions analyses
- odds ratios (ORs) to identify independent predictors for metastatic LNs
Statistical analyses by using SPSS and Medcalc softwares