Diagnostic Value of Semiquantitative Analysis of 99mTechnetium-Methoxyisobutylisonitrile (99mTc-MIBI) Imaging in Predicting Early-Stage Cervical Lymph Node Metastasis of Thyroid Carcinoma.

Abstract:

:BACKGROUND The aim of this study was to evaluate the value of semiquantitative analysis (SQA) of 99mTc-MIBI imaging in predicting early-stage cervical lymph node metastasis (CLNM) in thyroid carcinoma (TC). MATERIAL AND METHODS TC patients (n =106) undergoing surgical resection and histopathological examination were enrolled. All patients received 99mTc-MIBI imaging prior to surgery. P-glycoprotein (P-gp) expression was detected by PT-PCR and immunohistochemistry. With pathological results as the criterion standard, the diagnostic efficiency of 99mTc-MIBI imaging in predicting early-stage CLNM was evaluated. The correlation of P-gp with 99mTc-MIBI imaging was investigated. Logistic regression analysis was applied for analyzing the factors affecting early-stage CLNM. RESULTS The detection rate and misdiagnosis rate of 99mTc-MIBI imaging for early-stage CLNM diagnosis were 87.3% and 12.7%, respectively. Receiver operating characteristic (ROC) curve analysis showed an accuracy of 99mTc-MIBI imaging of 85.85%. Preoperative 99mTc-MIBI scan showed statistical differences between metastasis and non-metastasis groups in early and delayed T/NT and washout rate (all P<0.05). The percentage of P-gp-expressing cells and the expression rate of P-gp gene both exhibited statistical differences between metastasis and no-metastasis groups (both P<0.05). Tumor diameter, lesion distribution, the percentage of P-gp-expressing cells, and the expression rate of P-gp gene were risk factors for CLNM (all P<0.05). CONCLUSIONS 99mTc-MIBI imaging has value in qualitative diagnosis of early-stage CLNM in TC. Tumor diameter, lesion distribution, the percentage of P-gp-expressing cells, and the expression rate of P-gp gene were risk factors for CLNM.

journal_name

Med Sci Monit

authors

Zhu XC,Zhou K,Xu SQ,Ma YB

doi

10.12659/msm.899966

subject

Has Abstract

pub_date

2017-03-31 00:00:00

pages

1552-1558

eissn

1234-1010

issn

1643-3750

pii

899966

journal_volume

23

pub_type

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