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头颈部癌放射性骨坏死分类系统的制定与标准化:风险模型的应用。

Development and Standardization of an Osteoradionecrosis Classification System in Head and Neck Cancer: Implementation of a Risk-Based Model.

机构信息

Department of Dental Oncology, Princess Margaret Cancer Centre, Toronto, ON.

Faculty of Dentistry, University of Toronto, Toronto, ON.

出版信息

J Clin Oncol. 2024 Jun 1;42(16):1922-1933. doi: 10.1200/JCO.23.01951. Epub 2024 May 1.

Abstract

PURPOSE

Osteoradionecrosis of the jaw (ORN) can manifest in varying severity. The aim of this study is to identify ORN risk factors and develop a novel classification to depict the severity of ORN.

METHODS

Consecutive patients with head and neck cancer (HNC) treated with curative-intent intensity-modulated radiation therapy (IMRT) (≥45 Gy) from 2011 to 2017 were included. Occurrence of ORN was identified from in-house prospective dental and clinical databases and charts. Multivariable logistic regression model was used to identify risk factors and stratify patients into high-risk and low-risk groups. A novel ORN classification system was developed to depict ORN severity by modifying existing systems and incorporating expert opinion. The performance of the novel system was compared with 15 existing systems for their ability to identify and predict serious ORN event (jaw fracture or requiring jaw resection).

RESULTS

ORN was identified in 219 of 2,732 (8%) consecutive patients with HNC. Factors associated with high risk of ORN were oral cavity or oropharyngeal primaries, received IMRT dose ≥60 Gy, current/ex-smokers, and/or stage III to IV periodontal condition. The ORN rate for high-risk versus low-risk patients was 12.7% versus 3.1% ( < .001) with an AUC of 0.71. Existing ORN systems overclassified serious ORN events and failed to recognize maxillary ORN. A novel ORN classification system, ClinRad, was proposed on the basis of vertical extent of bone necrosis and presence/absence of exposed bone/fistula. This system detected serious ORN events in 5.7% of patients and statistically outperformed existing systems.

CONCLUSION

We identified risk factors for ORN and proposed a novel ORN classification system on the basis of vertical extent of bone necrosis and presence/absence of exposed bone/fistula. It outperformed existing systems in depicting the seriousness of ORN and may facilitate clinical care and clinical trials.

摘要

目的

颌骨放射性骨坏死(ORN)的表现程度不一。本研究旨在确定ORN 的风险因素,并制定一种新的分类方法来描述ORN 的严重程度。

方法

纳入了 2011 年至 2017 年间接受根治性调强放疗(IMRT)(≥45Gy)治疗的头颈部癌症(HNC)连续患者。通过内部前瞻性牙科和临床数据库及图表来识别 ORN 的发生情况。使用多变量逻辑回归模型来确定风险因素,并将患者分为高危和低危组。通过修改现有系统并纳入专家意见,制定了一种新的ORN 分类系统来描述 ORN 的严重程度。将新系统与 15 种现有的系统进行比较,以评估其识别和预测严重ORN 事件(颌骨骨折或需要颌骨切除术)的能力。

结果

在 2732 例连续的 HNC 患者中,有 219 例(8%)患者发生了ORN。与 ORN 发生高风险相关的因素包括口腔或口咽原发肿瘤、接受 IMRT 剂量≥60Gy、现吸烟者/曾吸烟者,以及牙周状况为 III 期至 IV 期。高危患者与低危患者的 ORN 发生率分别为 12.7%和 3.1%(<.001),AUC 为 0.71。现有的 ORN 系统过度分类严重 ORN 事件,并且未能识别上颌 ORN。根据骨坏死的垂直程度以及有无暴露的骨/瘘管,提出了一种新的 ORN 分类系统 ClinRad。该系统在 5.7%的患者中检测到严重的 ORN 事件,在统计学上优于现有的系统。

结论

我们确定了 ORN 的风险因素,并基于骨坏死的垂直程度以及有无暴露的骨/瘘管提出了一种新的 ORN 分类系统。它在描述 ORN 的严重程度方面优于现有的系统,可能有助于临床护理和临床试验。

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