Assessment of Occult Nodal Micrometastases to the Clinically Negative Contralateral Neck in Locally Advanced Supraglottic Squamous Cell Carcinoma

Eltelety, Ahmad M.; Abou-Zeid, Mohamed Aly; Abdelmalek, Mena Esmat; Nassar, Ahmed Amin

doi:10.1007/s12070-021-02806-3

Cited by 1 publication

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“…Compared to their pathological reports, these three lymph nodes with low SUVmax were described as micrometastases; this is consistent with the results of the study by Eltelety et al . [30], which showed micrometastases in seven of 28 contralateral lymph nodes. As micrometastatic lymph nodes are classified as having tumor deposits less than 2 millimeters [31], their FDG uptake may not be noticeably different from that of normal tissues.…”

Section: Discussionmentioning

confidence: 99%

Potential of preoperative fluorodeoxyglucose-positron emission tomography/computed tomography to diagnose contralateral lymph node metastases in patients with oral cancer

Wamasing,

Nakamura,

Watanabe

et al. 2023

Nuclear Medicine Communications

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Objective To establish a decision tree using preoperative PET/computed tomography (CT) parameters for detecting contralateral lymph node metastasis (CLNM) in oral cancer patients. Methods In total, 140 patients with a confirmed histopathological diagnosis of oral carcinoma showed fluorodeoxyglucose accumulation of contralateral lymph nodes in PET images. Of 260 lymph nodes, eight were metastatic. We compared metastatic and non-metastatic nodes using Fisher–Freeman-Halton exact and Fisher’s exact and Mann–Whitney U tests. The diagnostic performance was analyzed using receiver operating characteristic curves. We established a decision tree using exhaustive chi-squared automatic interaction detection algorithm. Results Five PET/CT parameters were significantly different between metastatic and non-metastatic nodes: the longest (P = 0.015) and shortest (P = 0.023) diameter, and the maximum standardized uptake values (SUVmax) of the contralateral node (P = 0.030), primary tumor (P < 0.001), and ipsilateral node (P < 0.001). The area under the curves of SUVmax of the primary tumor (0.887), ipsilateral node (0.886), and longest diameter (0.752) were the largest and these three parameters were used as predictive criteria in the decision tree. The accuracy of the decision tree was 97.7% with 100% sensitivity and 97.6% specificity. Conclusion Preoperative PET/CT imaging with a decision tree has the potential to diagnose CLNM in patients with oral cancer.

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Section: Discussionmentioning

confidence: 99%