Can Elective Neck Dissection for Oral Cancer Be Planned on the Basis of Depth of Invasion? Retrospective Analysis.

IF 3.2 Q2 ONCOLOGY
JCO Global Oncology Pub Date : 2025-04-01 Epub Date: 2025-05-14 DOI:10.1200/GO-24-00451
Kinjal S Majumdar, Thaduri Abhinav, Achyuth Panuganti, Rajkumar K Seenivasagam, Manu Malhotra
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引用次数: 0

Abstract

Purpose: The literature suggests that elective neck dissection (END) may be avoided in primaries with a depth of invasion (DOI) <3 mm. This study evaluated the accuracy of DOI in predicting nodal metastases (lymph node metastasis [LNM]) in oral squamous cell carcinoma (OSCC).

Materials and methods: In this retrospective institutional chart review, pathologic N classification (pN) was correlated with DOI using Spearman's rank-order (pN1-3) and point-biserial (pN0 v pN+) correlation statistics. The receiver operating characteristic (ROC) curve was analyzed to determine the accuracy of DOI in predicting LNM. Chi-square statistics were used to measure the association between the DOI groups and pN status (pN0; pN+). Post hoc analysis of variance with Bonferroni statistics was used to compare the three DOI groups.

Results: DOI failed to demonstrate a strong positive correlation with the pN classification (ρ = 0.31; P < .001). DOI was not strongly correlated with pN status (rpb = 0.27; P < .001). ROC curve analysis suggested a poor accuracy of DOI in predicting nodal metastases (AUC = 0.67 [95% CI, 0.6 to 0.73]). A statistically significant difference in LNM (pN+) was found between the DOI >10 mm and DOI ≤10 mm primaries (P < .001 for DOI ≤5 mm; P = .016 for DOI >5 mm and ≤10 mm). However, the sensitivity and specificity achieved by ROC analysis for a DOI cutoff value of 10 mm in the present cohort were 69.3% and 57.9%, respectively.

Conclusion: DOI is a poor indicator of LNM in OSCC. The decision to perform END should not be based on the tumor DOI.

口腔癌的选择性颈部清扫是否可以根据浸润深度来计划?回顾性分析。
目的:文献提示侵袭深度(DOI)的原发性患者可避免择期颈部清扫(END)。材料和方法:在本回顾性机构图表综述中,采用Spearman秩序(pN1-3)和点双列(pN0 v pN+)相关统计,将病理N分类(pN)与DOI相关。分析受试者工作特征(ROC)曲线,确定DOI预测LNM的准确性。采用卡方统计方法衡量DOI组与pN状态的相关性(pN0;pN +)。采用Bonferroni统计的事后方差分析来比较三个DOI组。结果:DOI未能证明与pN分类呈正相关(ρ = 0.31;P < 0.001)。DOI与pN状态相关性不强(rpb = 0.27;P < 0.001)。ROC曲线分析显示DOI预测淋巴结转移的准确性较差(AUC = 0.67 [95% CI, 0.6 ~ 0.73])。DOI≤10 mm与DOI≤10 mm原发牙的LNM (pN+)差异有统计学意义(DOI≤5 mm的P < 0.001;对于DOI >5 mm和≤10 mm, P = 0.016)。然而,本队列中DOI截止值为10 mm的ROC分析的敏感性和特异性分别为69.3%和57.9%。结论:DOI是OSCC中较差的LNM指标。执行END的决定不应基于肿瘤DOI。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JCO Global Oncology
JCO Global Oncology Medicine-Oncology
CiteScore
6.70
自引率
6.70%
发文量
310
审稿时长
7 weeks
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