PURPOSE: We evaluated the accuracy of magnetic resonance imaging (MRI) in predicting esophageal invasion by thyroid carcinomas and established an optimal criterion for diagnosing esophageal invasion. METHOD: The MRI findings (size and margins of tumor, ratio of tumor contact to the esophagus, shape and displacement of the esophagus, and tumor invasion to the outer and inner layers of the esophagus) in 67 patients with thyroid carcinomas were retrospectively reviewed and correlated with surgical and pathologic findings. Logistic modeling was used to determine the significant factors for predicting esophageal invasion. RESULTS: Seventeen (34%) of the 67 patients had pathologically or surgically verified esophageal invasion. The logistic modeling revealed that outer layer invasion (P < 0.001) and poorly defined margins (P = 0.001) were the significant factors. The outer layer invasion showed the highest accuracy of 91%, with 82% sensitivity and 94% specificity. The addition of poorly defined margins to this criterion did not improve its accuracy. CONCLUSION: Esophageal invasion by thyroid carcinoma was accurately predicted with MRI, and an MRI finding of outer layer invasion was optimal for diagnosing esophageal invasion.
PURPOSE: We evaluated the accuracy of magnetic resonance imaging (MRI) in predicting esophageal invasion by thyroid carcinomas and established an optimal criterion for diagnosing esophageal invasion. METHOD: The MRI findings (size and margins of tumor, ratio of tumor contact to the esophagus, shape and displacement of the esophagus, and tumor invasion to the outer and inner layers of the esophagus) in 67 patients with thyroid carcinomas were retrospectively reviewed and correlated with surgical and pathologic findings. Logistic modeling was used to determine the significant factors for predicting esophageal invasion. RESULTS: Seventeen (34%) of the 67 patients had pathologically or surgically verified esophageal invasion. The logistic modeling revealed that outer layer invasion (P < 0.001) and poorly defined margins (P = 0.001) were the significant factors. The outer layer invasion showed the highest accuracy of 91%, with 82% sensitivity and 94% specificity. The addition of poorly defined margins to this criterion did not improve its accuracy. CONCLUSION: Esophageal invasion by thyroid carcinoma was accurately predicted with MRI, and an MRI finding of outer layer invasion was optimal for diagnosing esophageal invasion.
Authors: Bryan R Haugen; Erik K Alexander; Keith C Bible; Gerard M Doherty; Susan J Mandel; Yuri E Nikiforov; Furio Pacini; Gregory W Randolph; Anna M Sawka; Martin Schlumberger; Kathryn G Schuff; Steven I Sherman; Julie Ann Sosa; David L Steward; R Michael Tuttle; Leonard Wartofsky Journal: Thyroid Date: 2016-01 Impact factor: 6.568
Authors: Jenny K Hoang; Barton F Branstetter; Andreia R Gafton; Wai K Lee; Christine M Glastonbury Journal: Cancer Imaging Date: 2013-03-26 Impact factor: 3.909
Authors: Eun Ju Ha; Sae Rom Chung; Dong Gyu Na; Hye Shin Ahn; Jin Chung; Ji Ye Lee; Jeong Seon Park; Roh-Eul Yoo; Jung Hwan Baek; Sun Mi Baek; Seong Whi Cho; Yoon Jung Choi; Soo Yeon Hahn; So Lyung Jung; Ji-Hoon Kim; Seul Kee Kim; Soo Jin Kim; Chang Yoon Lee; Ho Kyu Lee; Jeong Hyun Lee; Young Hen Lee; Hyun Kyung Lim; Jung Hee Shin; Jung Suk Sim; Jin Young Sung; Jung Hyun Yoon; Miyoung Choi Journal: Korean J Radiol Date: 2021-10-26 Impact factor: 3.500