Li-Jen Liao1,2, Wan-Lun Hsu3, Chi-Te Wang1,2, Wu-Chia Lo2, Mei-Shu Lai1,4. 1. Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan. 2. Department of Otolaryngology, Far Eastern Memorial Hospital, Taipei, Taiwan. 3. Genomics Research Center, Academia Sinica, Taipei, Taiwan. 4. Center of Comparative Effectiveness Research, National Center of Excellence for Clinical Trial and Research, National Taiwan University Hospital, Taipei, Taiwan.
Abstract
BACKGROUND: The purpose of this was to find a staging strategy sensitive enough to reduce the risk of occult metastases in cN0 head and neck cancer to below 15% to 20%. METHODS: A total of 73 articles were selected for analysis of the diagnostic performance in staging cN0 head and neck cancer. Hypothetical estimation of negative predictive value (NPV) was calculated based on the Bayesian theory. RESULTS: The pooled estimates for sensitivity were 56.4% and 84.9% for ultrasound-guided fine-needle aspiration (FNA) and sentinel node biopsy (SNB). The pooled estimates for sensitivity were 47.0%, 56.6%, 48.3%, and 63.3% for CT, MRI, positron emission tomography (PET), and ultrasound, respectively. The pooled estimates for specificity were 88.9%, 82.5%, 86.2%, and 79.1% for CT, MRI, PET, and ultrasound. In estimation, the CT or MRI with SNB strategies had NPV higher than 85% even when the pretest metastatic rate was 60%. CONCLUSION: The SNB procedure has the best performance. A combination of CT/MRI and SNB for cN0 head and neck cancer is preferred.
BACKGROUND: The purpose of this was to find a staging strategy sensitive enough to reduce the risk of occult metastases in cN0 head and neck cancer to below 15% to 20%. METHODS: A total of 73 articles were selected for analysis of the diagnostic performance in staging cN0 head and neck cancer. Hypothetical estimation of negative predictive value (NPV) was calculated based on the Bayesian theory. RESULTS: The pooled estimates for sensitivity were 56.4% and 84.9% for ultrasound-guided fine-needle aspiration (FNA) and sentinel node biopsy (SNB). The pooled estimates for sensitivity were 47.0%, 56.6%, 48.3%, and 63.3% for CT, MRI, positron emission tomography (PET), and ultrasound, respectively. The pooled estimates for specificity were 88.9%, 82.5%, 86.2%, and 79.1% for CT, MRI, PET, and ultrasound. In estimation, the CT or MRI with SNB strategies had NPV higher than 85% even when the pretest metastatic rate was 60%. CONCLUSION: The SNB procedure has the best performance. A combination of CT/MRI and SNB for cN0 head and neck cancer is preferred.
Authors: Christina Bluemel; Domenico Rubello; Patrick M Colletti; Remco de Bree; Ken Herrmann Journal: Eur J Nucl Med Mol Imaging Date: 2015-04-28 Impact factor: 9.236
Authors: Shlomo A Koyfman; Nofisat Ismaila; Doug Crook; Anil D'Cruz; Cristina P Rodriguez; David J Sher; Damian Silbermins; Erich M Sturgis; Terance T Tsue; Jared Weiss; Sue S Yom; F Christopher Holsinger Journal: J Clin Oncol Date: 2019-02-27 Impact factor: 44.544
Authors: Volker Hans Schartinger; Daniel Dejaco; Natalie Fischer; Anna Lettenbichler-Haug; Maria Anegg; Matthias Santer; Joachim Schmutzhard; Barbara Kofler; Samuel Vorbach; Gerlig Widmann; Herbert Riechelmann Journal: Diagnostics (Basel) Date: 2022-06-02
Authors: P K de Koekkoek-Doll; M Maas; W Vogel; J Castelijns; L Smit; I Zavrakidis; R Beets-Tan; M van den Brekel Journal: AJNR Am J Neuroradiol Date: 2021-01-28 Impact factor: 3.825