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Cervical Lymph Nodes Detected by F-18 FDG PET/CT in Oncology Patients: Added Value of Subsequent Ultrasonography for Determining Nodal Metastasis

Authors :
Seokho Yoon
Kyeong Hwa Ryu
Hye Jin Baek
Tae Hoon Kim
Jin Il Moon
Bo Hwa Choi
Sung Eun Park
Ji Young Ha
Dae Hyun Song
Hyo Jung An
Young Jin Heo
Source :
Medicina, Vol 56, Iss 1, p 16 (2019)
Publication Year :
2019
Publisher :
MDPI AG, 2019.

Abstract

Background and Objectives: To investigate the diagnostic performance of F-18 fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) and subsequent ultrasonography (US) for determining cervical nodal metastasis in oncology patients. Materials and Methods: Fifty-nine cervical lymph nodes (LNs) initially detected by PET/CT with subsequent neck US were included in this retrospective study. All LNs were subjected to US-guided fine-needle aspiration or core needle biopsy. The maximum standardized uptake value (SUVmax) and sonographic features were assessed. Results: Forty-three of 59 cervical LNs detected by PET/CT were malignant. PET/CT alone showed a highest diagnostic value for metastatic LNs with 81.4% sensitivity, 68.8% specificity, and 78% accuracy when SUVmax ≥5.8 was applied as an optimal cut-off value. Combined PET/CT and subsequent US diagnoses for determining nodal metastasis showed the following diagnostic performance: 81.4% sensitivity, 87.5% specificity, and 83.1% accuracy. There was a significant difference in the diagnostic performance between the two diagnostic imaging approaches (p = 0.006). Conclusions: Combined diagnosis using subsequent US showed a significantly higher diagnostic performance for determining nodal metastasis in the neck. Therefore, we believe that our proposed diagnostic strategy using subsequent US can be helpful in evaluating cervical LNs on PET/CT. Moreover, our results clarify the need for US-guided tissue sampling in oncology patients.

Details

Language :
English
ISSN :
1010660X
Volume :
56
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Medicina
Publication Type :
Academic Journal
Accession number :
edsdoj.3a149b3be31149ecb54b7f4ccf70c842
Document Type :
article
Full Text :
https://doi.org/10.3390/medicina56010016