Table 2.
Histological Diagnosis and Four-MicroRNA Predictions in Thyroid Fine Needle Aspiration Specimens
| Samples | Categorya | Histological diagnosis | Four-miR LDA prediction | Mispredicted |
|---|---|---|---|---|
| Training sample set | Benign (n=16) | 6 FA, 1 HA, 8 NH, 1 NNG | 15 benign, 1 malignant | 1 NH |
| Malignant (n=44) | 32 PTC, 4 fvPTC, 5 FTC, 3 ATC | 41 malignant, 3 benign | 1 PTC, 1 FTC, 1 ATC | |
| Validation sample set | Benign (n=24) | 10 FA, 3 HA, 1 LT, 6 NH, 4 NNG | 19 benign, 5 malignant | 3 FA, 1 HA, 1 NH |
| Malignant (n=44) | 3 fvPTC, 8 FTC, 33 PTC | 39 malignant, 5 benign | 1 fvPTC, 3 FTC, 1 PTC |
a
Specimens were divided into benign or malignant category according to the histological diagnosis.
FA, follicular adenoma; HA, benign Hurthle adenoma; LT, lymphocytic thyroiditis; NH, nodular hyperplasia; NNG, nonneoplastic goiter; ATC, anaplastic thyroid carcinoma; FTC, follicular thyroid carcinoma; fvPTC, follicular variant papillary thyroid carcinoma; PTC, conventional papillary thyroid carcinoma; LDA, linear discriminant analysis.