Keunyoung Kim1, Sung-Ryul Shim2, Sang-Woo Lee3, Seong-Jang Kim4,5,6. 1. Department of Nuclear Medicine, Pusan National University Hospital, Busan, Korea. 2. Department of Preventive Medicine, School of Medicine, Korea University, Seoul, Korea. 3. Department of Nuclear Medicine, School of Medicine, Kyungpook National University, Daegu, Korea. 4. Department of Nuclear Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea. 5. BioMedical Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, 50612, Korea. 6. Department of Nuclear Medicine, College of Medicine, Pusan National University, Yangsan, 50612, Korea.
Abstract
OBJECTIVE: This study compared the diagnostic performance of three different imaging modalities for preoperative lymph node (LN) staging in thyroid cancer patients, using a network meta-analysis (NMA). METHODS: PubMed and Embase were searched to identify studies evaluating the performance of F-18 fluorodeoxyglucose (FDG) positron emission tomography (PET or PET/CT), computed tomography (CT), and ultrasonography (US) for preoperative LN staging in thyroid cancer patients. The NMA included both patient- and lesion-based analyses. The surface under the cumulative ranking curve (SUCRA) values was used to decide on the most effective diagnostic method. RESULTS: A total of 3,571 patients from 19 direct comparison studies using three different imaging modalities for preoperative LN staging in thyroid cancer patients were included. US showed the highest SUCRA values for positive predictive values (PPV), negative predictive values (NPV), and accuracy in detection of all cervical LN metastasis. F-18 FDG PET or PET/CT and US showed the highest SUCRA values for PPV and sensitivity, respectively, for central LN, and the highest SUCRA value of specificity and sensitivity, respectively, for lateral LN. CONCLUSION: The results from this NMA indicate that F-18 FDG PET or PET/CT, CT, and US have complementary diagnostic roles for preoperative staging in thyroid cancer patients. ADVANCES IN KNOWLEDGE: Using NMA, we comprehensively compared the different diagnostic values and limitations of F-18 FDG PET or PET/CT, CT, and US for the preoperative LN staging in thyroid cancer patients.
OBJECTIVE: This study compared the diagnostic performance of three different imaging modalities for preoperative lymph node (LN) staging in thyroid cancer patients, using a network meta-analysis (NMA). METHODS: PubMed and Embase were searched to identify studies evaluating the performance of F-18 fluorodeoxyglucose (FDG) positron emission tomography (PET or PET/CT), computed tomography (CT), and ultrasonography (US) for preoperative LN staging in thyroid cancer patients. The NMA included both patient- and lesion-based analyses. The surface under the cumulative ranking curve (SUCRA) values was used to decide on the most effective diagnostic method. RESULTS: A total of 3,571 patients from 19 direct comparison studies using three different imaging modalities for preoperative LN staging in thyroid cancer patients were included. US showed the highest SUCRA values for positive predictive values (PPV), negative predictive values (NPV), and accuracy in detection of all cervical LN metastasis. F-18 FDG PET or PET/CT and US showed the highest SUCRA values for PPV and sensitivity, respectively, for central LN, and the highest SUCRA value of specificity and sensitivity, respectively, for lateral LN. CONCLUSION: The results from this NMA indicate that F-18 FDG PET or PET/CT, CT, and US have complementary diagnostic roles for preoperative staging in thyroid cancer patients. ADVANCES IN KNOWLEDGE: Using NMA, we comprehensively compared the different diagnostic values and limitations of F-18 FDG PET or PET/CT, CT, and US for the preoperative LN staging in thyroid cancer patients.
Authors: Szabolcs Szakáll; Olga Esik; Gábor Bajzik; Imre Repa; Gabriella Dabasi; István Sinkovics; Péter Agoston; Lajos Trón Journal: J Nucl Med Date: 2002-01 Impact factor: 10.057
Authors: Reema Goel; William Moore; Baran Sumer; Saad Khan; David Sher; Rathan M Subramaniam Journal: AJR Am J Roentgenol Date: 2017-08 Impact factor: 3.959
Authors: W Keat Cheah; Cumhur Arici; Philip H G Ituarte; Allan E Siperstein; Quan-Yang Duh; Orlo H Clark Journal: World J Surg Date: 2002-06-06 Impact factor: 3.352