J M Debnam1, N Guha-Thakurta2, J Sun3, W Wei3, M E Zafereo4, M E Cabanillas5, N M Buisson2, D Schellingerhout2,6. 1. From the Departments of Diagnostic Radiology, Section of Neuroradiology (J.M.D., N.G.-T., N.M.B., D.S.) Matthew.Debnam@mdanderson.org. 2. From the Departments of Diagnostic Radiology, Section of Neuroradiology (J.M.D., N.G.-T., N.M.B., D.S.). 3. Biostatistics (J.S., W.W.). 4. Head and Neck Surgery, Division of Surgery (M.E.Z.). 5. Endocrine Neoplasia and Hormonal Disorders (M.E.C.). 6. Cancer Systems Imaging (D.S.); The University of Texas MD Anderson Cancer Center, Houston, Texas.
Abstract
BACKGROUND AND PURPOSE: During thyroidectomy incomplete resection of the thyroid gland may occur. This complicates the imaging surveillance of these patients as residual thyroid needs to be distinguished from local recurrence. Therefore, the purpose of this study was to determine if multiphasic multi-detector computed tomography (4D-MDCT) can differentiate residual nonmalignant thyroid tissue and recurrent thyroid carcinoma after thyroidectomy. MATERIALS AND METHODS: In this retrospective study, Hounsfield unit values on multiphasic multidetector CT in precontrast, arterial (25 seconds), venous (55 seconds), and delayed (85 seconds) phases were compared in 29 lesions of recurrent thyroid cancer, 29 with normal thyroid, and 29 with diseased thyroid (thyroiditis/multinodular thyroid). The comparison of Hounsfield unit values among lesion types by phase was performed using ANOVA. The performance of Hounsfield unit values to predict recurrence was evaluated by logistic regression and receiver operating characteristic analysis. RESULTS: All 3 tissue types had near-parallel enhancement characteristics, with a wash-in-washout pattern. Statistically different Hounsfield unit density was noted between the recurrence (lowest Hounsfield unit), diseased (intermediate Hounsfield unit), and normal (highest Hounsfield unit) thyroid groups throughout all 4 phases (P < .001 for each group and in each phase). Dichotomized recurrence-versus-diseased/normal thyroid tissue with univariate logistic regression analysis demonstrated that the area under the receiver operating characteristic curve for differentiating benign from malignant thyroid for the various phases of enhancement was greatest in the precontrast phase at 0.983 (95% CI, 0.954-1), with a cutoff value of ≤62 (sensitivity/specificity, 0.966/0.983) followed by the arterial phase. CONCLUSIONS: Recurrent thyroid carcinoma can be distinguished from residual nonmalignant thyroid tissue using multiphasic multidetector CT with high accuracy. The maximum information for discrimination is in the precontrast images, then the arterial phase. An optimal clinical protocol could be built from any number of phases but should include a precontrast phase.
BACKGROUND AND PURPOSE: During thyroidectomy incomplete resection of the thyroid gland may occur. This complicates the imaging surveillance of these patients as residual thyroid needs to be distinguished from local recurrence. Therefore, the purpose of this study was to determine if multiphasic multi-detector computed tomography (4D-MDCT) can differentiate residual nonmalignant thyroid tissue and recurrent thyroid carcinoma after thyroidectomy. MATERIALS AND METHODS: In this retrospective study, Hounsfield unit values on multiphasic multidetector CT in precontrast, arterial (25 seconds), venous (55 seconds), and delayed (85 seconds) phases were compared in 29 lesions of recurrent thyroid cancer, 29 with normal thyroid, and 29 with diseased thyroid (thyroiditis/multinodular thyroid). The comparison of Hounsfield unit values among lesion types by phase was performed using ANOVA. The performance of Hounsfield unit values to predict recurrence was evaluated by logistic regression and receiver operating characteristic analysis. RESULTS: All 3 tissue types had near-parallel enhancement characteristics, with a wash-in-washout pattern. Statistically different Hounsfield unit density was noted between the recurrence (lowest Hounsfield unit), diseased (intermediate Hounsfield unit), and normal (highest Hounsfield unit) thyroid groups throughout all 4 phases (P < .001 for each group and in each phase). Dichotomized recurrence-versus-diseased/normal thyroid tissue with univariate logistic regression analysis demonstrated that the area under the receiver operating characteristic curve for differentiating benign from malignant thyroid for the various phases of enhancement was greatest in the precontrast phase at 0.983 (95% CI, 0.954-1), with a cutoff value of ≤62 (sensitivity/specificity, 0.966/0.983) followed by the arterial phase. CONCLUSIONS: Recurrent thyroid carcinoma can be distinguished from residual nonmalignant thyroid tissue using multiphasic multidetector CT with high accuracy. The maximum information for discrimination is in the precontrast images, then the arterial phase. An optimal clinical protocol could be built from any number of phases but should include a precontrast phase.
Authors: V D'Andrea; V Cantisani; A Catania; F M Di Matteo; S Sorrenti; R Greco; K A Kyriacou; K Kyriacos; G Menichini; E Marotta; M De Stefano; S Palermo; C Di Marco; E De Antoni Journal: G Chir Date: 2009 Aug-Sep
Authors: Carrie C Lubitz; George J Hunter; Leena M Hamberg; Sareh Parangi; Daniel Ruan; Atul Gawande; Randall D Gaz; Gregory W Randolph; Francis D Moore; Richard A Hodin; Antonia E Stephen Journal: Surgery Date: 2010-12 Impact factor: 3.982
Authors: J Matthew Debnam; T Linda Chi; Michael Kwon; Jia Sun; Dawid Schellingerhout; Brandon T Golant; Salmaan Ahmed; Nancy D Perrier; Thinh Vu Journal: J Comput Assist Tomogr Date: 2022-09-03 Impact factor: 2.081
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