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99Tcm-MIBI SPECT/CT in diagnosis of color Doppler ultrasound uncertain cervical lymph node metastasis after surgical resection of papillary thyroid carcinoma / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 1456-1460, 2020.
Article in Chinese | WPRIM | ID: wpr-860871
ABSTRACT

Objective:

To explore the value of 99Tcm-MIBI SPECT/CT in diagnosis of color Doppler ultrasound (CDUS) uncertain cervical lymph node metastasis after surgical resection of papillary thyroid carcinoma (PTC).

Methods:

A total of 31 patients with CDUS uncertain cervical lymph node metastasis after surgical resection of PTC were collected. 99Tcm-MIBI SPECT/CT of the neck was performed one month within operation, then 99Tcm-MIBI SPECT/CT, 131I SPECT/CT of the neck were performed within 15 days. The diagnostic efficiency of 99Tcm-MIBI SPECT/CT was observed.

Results:

Among 31 PTC patients, cervical lymph node metastases were detected in 6 (6/31, 19.35%) patients. The sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of 99Tcm-MIBI SPECT/CT was 66.67% (4/6), 96.00% (24/25), 90.32% (28/31), 80.00% (4/5) and 92.31% (24/26), respectively. Totally 14 cervical metastatic lesions were found, the sensitivity and PPV of 99Tcm-MIBI SPECT/CT in diagnosis of cervical metastatic lesions was 71.43% (10/14) and 83.33% (10/12), of 131I SPECT/CT was 28.57% (4/14) and 100% (4/4), respectively. 99Tcm-MIBI SPECT/CT showed higher sensitivity than 131I SPECT/CT (χ2=5.14, P0.05).

Conclusion:

99Tcm-MIBI SPECT/CT could be used to correctly localize most cervical lymph node metastasis of PTC, providing further information for judging 131I SPECT/CT and CDUS uncertain cervical lymph node metastases in postoperative PTC patients.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2020 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2020 Type: Article