A novel thyroid cancer nodal map classification system to facilitate nodal localization and surgical management: The A to D map
Document Type
Article
Abstract
OBJECTIVES/HYPOTHESIS: To evaluate the effectiveness, reproducibility, and usability of our proposed nodal nomenclature and classification system employed for several years in our high-volume thyroid cancer unit, for the adequate localization and mapping of lymph nodes in thyroid cancer patients with extensive nodal disease. STUDY DESIGN: Retrospective review. METHODS: Thirty-three thyroid cancer patients with extensive nodal disease treated from January 2004 to May 2013 were included in our study. Preoperative ultrasound and computed tomography scans of these patients were reanalyzed by blinded radiologists to investigate the feasibility for the assignment of abnormal lymph nodes to compartments defined in our proposed nodal classification system and to identify areas of difficulty in the assignment. RESULTS: Analysis of nodal localization revealed a discrepancy in compartment agreement between the two radiologists in the assignment of abnormal nodes in nine patients (9/33, 27%). In six patients (6/33, 18%), discrepancy existed in labeling paratracheal and pretracheal nodes. In three patients (3/33, 9%), disagreement arose in the classification of retrocarotid nodes into lateral versus central compartment. A further refinement of the definition of key borderline regions of the pretracheal versus paratracheal and retrocarotid regions of our classification improved the agreement and demonstrated a complete concordance (100%) amongst the reviewing radiologists. CONCLUSIONS: The proposed nodal classification system, derived specifically for differentiated thyroid carcinoma, with readily identifiable anatomic boundaries on imaging and at surgery, facilitates communication among multidisciplinary physicians and aids in creating a uniform and reproducible radiographic nodal map to guide surgical therapy. LEVEL OF EVIDENCE: 4 Laryngoscope, 127:2429-2436, 2017.
Medical Subject Headings
Adolescent; Adult; Aged; Aged, 80 and over; Female; Humans; Lymph Nodes (pathology); Lymphatic Metastasis; Male; Middle Aged; Neck; Neck Dissection (methods); Neoplasm Staging (methods); Retrospective Studies; Thyroid Gland (diagnostic imaging); Thyroid Neoplasms (classification, secondary, surgery); Thyroidectomy (methods); Tomography, X-Ray Computed (methods); Ultrasonography (methods); Young Adult
Publication Date
10-1-2017
Publication Title
The Laryngoscope
E-ISSN
1531-4995
Volume
127
Issue
10
First Page
2429
Last Page
2436
PubMed ID
27900764
Digital Object Identifier (DOI)
10.1002/lary.26433
Recommended Citation
Cunnane, Marybeth; Kyriazidis, Natalia; Kamani, Dipti; Juliano, Amy F.; Kelly, Hillary R.; Curtin, Hugh D.; Barber, Samuel R.; and Randolph, Gregory W., "A novel thyroid cancer nodal map classification system to facilitate nodal localization and surgical management: The A to D map" (2017). ENT and Skull Base Surgery. 52.
https://scholar.barrowneuro.org/ent-and-skull-base-surgery/52