Literature DB >> 18794443

Utility of computed tomography in the detection of subclinical nodal disease in papillary thyroid carcinoma.

Zachary M Soler1, Bronwyn E Hamilton, Kathryn G Schuff, Mary H Samuels, James I Cohen.   

Abstract

OBJECTIVE: To characterize the ability of computed tomography (CT) to identify subclinical cervical metastatic disease in papillary thyroid carcinoma (PTC).
DESIGN: Retrospective review.
SETTING: Tertiary academic center. PATIENTS: Consecutive patients undergoing neck dissection for PTC between July 1, 2004, and July 1, 2006. INTERVENTION: Preoperative CT scans were reevaluated in a blinded fashion by a single head and neck radiologist. Positive criteria included node with size larger than 10 mm, round shape, calcification, cystic character, or abnormal enhancement. MAIN OUTCOME MEASURE: Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated separately for central compartment (level VI) and lateral compartment (levels III and IV) dissections.
RESULTS: One hundred four patients underwent selective neck dissection for PTC during the study period. Forty-three patients had disease that involved primary lymphadenectomy at the time of thyroidectomy, and 61 had persistent or recurrent disease. There were 111 lateral compartment dissections and 145 central compartment dissections. The overall sensitivity was 59% for both the central and lateral compartments, and the specificity was 76% and 71%, respectively. The PPV and NPV were 84% and 47% for the central compartment and 73% and 57% for the lateral compartment, respectively.
CONCLUSIONS: Computed tomography has a limited capability to identify subclinical metastatic cervical disease in PTC, with a sensitivity near 60% and an NPV near 50%. Sole reliance on CT findings will miss a significant portion of disease likely because of the high incidence of microscopic foci. However, using strict criteria, a positive finding on a CT scan provides useful information because it predicts with a fairly high assurance that disease will in fact be found in a specific compartment during surgical dissection.

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Year:  2008        PMID: 18794443     DOI: 10.1001/archotol.134.9.973

Source DB:  PubMed          Journal:  Arch Otolaryngol Head Neck Surg        ISSN: 0886-4470


  5 in total

1.  Diagnostic performance of CT in detection of metastatic cervical lymph nodes in patients with thyroid cancer: a systematic review and meta-analysis.

Authors:  Se Jin Cho; Chong Hyun Suh; Jung Hwan Baek; Sae Rom Chung; Young Jun Choi; Jeong Hyun Lee
Journal:  Eur Radiol       Date:  2019-02-26       Impact factor: 5.315

2.  A mathematical model using computed tomography for the diagnosis of metastatic central compartment lymph nodes in papillary thyroid carcinoma.

Authors:  Tianrun Liu; Xuan Su; Weichao Chen; Lie Zheng; Li Li; AnKui Yang
Journal:  Eur Radiol       Date:  2014-08-09       Impact factor: 5.315

3.  The value of the computer-aided diagnosis system for thyroid lesions based on computed tomography images.

Authors:  Chenbin Liu; Shanshan Chen; Yunze Yang; Dangdang Shao; Wenxian Peng; Yan Wang; Yihong Chen; Yuenan Wang
Journal:  Quant Imaging Med Surg       Date:  2019-04

4.  CT-detected solitary thyroid calcification: an important imaging feature for papillary carcinoma.

Authors:  Tian-Tian Yang; Yong Huang; Xu-Quan Jing; Xiu-Juan Gai; Wen-Wu Li
Journal:  Onco Targets Ther       Date:  2016-10-13       Impact factor: 4.147

5.  Terminology inaccuracies in the interpretation of imaging results in detection of cervical lymph node metastases in papillary thyroid cancer.

Authors:  Mubashir Mulla; Klaus-Martin Schulte
Journal:  Endocr Connect       Date:  2012-10-10       Impact factor: 3.335

  5 in total

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