Seong-Jang Kim1, Kyoungjune Pak2, Keunyoung Kim2. 1. Department of Nuclear Medicine, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; BioMedical Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; Department of Nuclear Medicine, College of Medicine, Pusan National University, Yangsan 50612, Republic of Korea. Electronic address: growthkim@pusan.ac.kr. 2. Department of Nuclear Medicine, Pusan National University Hospital, Busan, Republic of Korea.
Abstract
OBJECTIVE: The purpose of the current study was to investigate the diagnostic performance of F-18 fluorodeoxyglucose (FDG) positron emission tomography (PET) or positron emission tomography/computed tomography (PET/CT) for the detection of cervical lymph node (LN) metastasis in clinically node negative head and neck squamous cell cancer (cN0 HNSCC) patients through a systematic review and meta-analysis. METHODS: The PubMed and EMBASE database, from the earliest available date of indexing through April 30, 2018, were searched for studies evaluating the diagnostic performance of F-18 FDG PET or PET/CT for the detection of LN metastasis in cN0 HNSCC patients. We determined the sensitivities and specificities across studies, calculated positive and negative likelihood ratios (LR+ and LR-), and constructed summary receiver operating characteristic (SROC) curves. RESULTS: Across 18 studies (1044 patients), the pooled sensitivity for F-18 FDG PET or PET/CT for the detection of LN metastasis was 0.58 and a pooled specificity of 0.87 for patient based analysis. Neck side based analysis showed the pooled sensitivity of 0.67 and a pooled specificity of 0.85. Level based study demonstrated the pooled sensitivity of 0.53 and a pooled specificity of 0.97 (95% CI; 0.95-0.98). In meta-regression analysis, no definite variable was the source of the study heterogeneity. CONCLUSION: The current meta-analysis showed the low sensitivity and moderate specificity of F-18 FDG PET/CT for the detection of cervical LN metastasis in cN0 HNSCC patients. Level based analysis of F-18 FDG PET or PET/CT has a high specificity and NPV for the detection of cervical metastatic LN detection.
OBJECTIVE: The purpose of the current study was to investigate the diagnostic performance of F-18 fluorodeoxyglucose (FDG) positron emission tomography (PET) or positron emission tomography/computed tomography (PET/CT) for the detection of cervical lymph node (LN) metastasis in clinically node negative head and neck squamous cell cancer (cN0 HNSCC) patients through a systematic review and meta-analysis. METHODS: The PubMed and EMBASE database, from the earliest available date of indexing through April 30, 2018, were searched for studies evaluating the diagnostic performance of F-18 FDG PET or PET/CT for the detection of LN metastasis in cN0 HNSCC patients. We determined the sensitivities and specificities across studies, calculated positive and negative likelihood ratios (LR+ and LR-), and constructed summary receiver operating characteristic (SROC) curves. RESULTS: Across 18 studies (1044 patients), the pooled sensitivity for F-18 FDG PET or PET/CT for the detection of LN metastasis was 0.58 and a pooled specificity of 0.87 for patient based analysis. Neck side based analysis showed the pooled sensitivity of 0.67 and a pooled specificity of 0.85. Level based study demonstrated the pooled sensitivity of 0.53 and a pooled specificity of 0.97 (95% CI; 0.95-0.98). In meta-regression analysis, no definite variable was the source of the study heterogeneity. CONCLUSION: The current meta-analysis showed the low sensitivity and moderate specificity of F-18 FDG PET/CT for the detection of cervical LN metastasis in cN0 HNSCC patients. Level based analysis of F-18 FDG PET or PET/CT has a high specificity and NPV for the detection of cervical metastatic LN detection.
Authors: George Crișan; Nastasia Sanda Moldovean-Cioroianu; Diana-Gabriela Timaru; Gabriel Andrieș; Călin Căinap; Vasile Chiș Journal: Int J Mol Sci Date: 2022-04-30 Impact factor: 6.208
Authors: Heiko Schöder; Paula Demétrio De Souza França; Reiko Nakajima; Eva Burnazi; Sheryl Roberts; Christian Brand; Milan Grkovski; Audrey Mauguen; Mark P Dunphy; Ronald A Ghossein; Serge K Lyashchenko; Jason S Lewis; Joseph A O'Donoghue; Ian Ganly; Snehal G Patel; Nancy Y Lee; Thomas Reiner Journal: Clin Cancer Res Date: 2020-04-03 Impact factor: 12.531
Authors: Petra K de Koekkoek-Doll; Sander Roberti; Laura Smit; Wouter V Vogel; Regina Beets-Tan; Michiel W van den Brekel; Jonas Castelijns Journal: Cancers (Basel) Date: 2022-08-20 Impact factor: 6.575