利用 NBI 进行新的 IPCL 分类,以早期发现 OPMDs 恶性转化。

IF 2.9 3区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE
Oral diseases Pub Date : 2024-11-25 DOI:10.1111/odi.15200
Yiming Xu, Tianyu Zhang, Dan Liu, Xuemei Qiu, Feifei Hou, Jiongke Wang, Xiaobo Luo, Hongxia Dan, Yu Zhou, Xing Zeng, Lu Jiang, Qianming Chen
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引用次数: 0

摘要

目的利用窄带成像(NBI)引入一种新的毛细血管内环(IPCL)分类方法,以诊断口腔潜在恶性疾病(OPMDs)的早期恶性转化:在探索阶段,对241名口腔潜在恶性疾病(OPMDs)和口腔鳞状细胞癌(OSCC)患者的窄带成像(NBI)图像进行了评估,以确定三种基本的IPCL特征--扩张、凹凸不平和迂曲,从而找出与OPMDs恶性转化相关的模式。卡方分析和逻辑回归将这些模式区分为低风险(无/轻度发育不良)和高风险(中度/重度发育不良、浸润癌)病变,从而建立了一个新的分类系统。在验证阶段,该系统应用于90名患者,组织病理学结果证实了诊断的准确性:结果:确定了四种不同的 IPCL 类型:正常、扩张、不规则和混沌,高风险病变的几率越来越大。ROC曲线的AUC为0.913,其中不规则和混乱类型的诊断效果最好,敏感性和特异性分别达到84.2%和88.4%。在验证阶段,新分类的总体诊断准确率为 84.4%,观察者之间的一致性很高(κ = 0.694):结论:新的 IPCL 分类能有效识别高危口腔病变,提高了 NBI 早期发现口腔恶性肿瘤的诊断效用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New IPCL Classification Using NBI for Early Detection of OPMDs Malignant Transformation.

Objectives: Introduce a new intrapapillary capillary loop (IPCL) classification using narrow-band imaging (NBI) to diagnose early malignant transformation in oral potentially malignant disorders (OPMDs).

Methods: In the exploratory phase, NBI images from 241 patients with OPMDs and oral squamous cell carcinoma (OSCC) were assessed for three basic IPCL features-dilation, unevenness, and tortuosity-to identify patterns associated with OPMDs malignant transformation. Chi-square analysis and logistic regression differentiated these patterns between low-risk (no/mild dysplasia) and high-risk (moderate/severe dysplasia, invasive carcinoma) lesions, establishing a new classification system. In the validation phase, the system was applied to 90 patients with histopathological results confirming diagnostic accuracy.

Results: Four distinct IPCL types were identified: normal, dilated, irregular, and chaotic, with increasing odds ratios for high-risk lesions. The ROC curve had an AUC of 0.913, with irregular and chaotic types providing the best diagnostic performance, achieving sensitivities and specificities of 84.2% and 88.4%, respectively. In the validation phase, the new classification achieved an overall diagnostic accuracy of 84.4% and substantial inter-observer consistency (κ = 0.694).

Conclusion: The new IPCL classification effectively identifies high-risk oral lesions, enhancing the diagnostic utility of NBI for early detection of OPMDs malignant transformations.

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来源期刊
Oral diseases
Oral diseases 医学-牙科与口腔外科
CiteScore
7.60
自引率
5.30%
发文量
325
审稿时长
4-8 weeks
期刊介绍: Oral Diseases is a multidisciplinary and international journal with a focus on head and neck disorders, edited by leaders in the field, Professor Giovanni Lodi (Editor-in-Chief, Milan, Italy), Professor Stefano Petti (Deputy Editor, Rome, Italy) and Associate Professor Gulshan Sunavala-Dossabhoy (Deputy Editor, Shreveport, LA, USA). The journal is pre-eminent in oral medicine. Oral Diseases specifically strives to link often-isolated areas of dentistry and medicine through broad-based scholarship that includes well-designed and controlled clinical research, analytical epidemiology, and the translation of basic science in pre-clinical studies. The journal typically publishes articles relevant to many related medical specialties including especially dermatology, gastroenterology, hematology, immunology, infectious diseases, neuropsychiatry, oncology and otolaryngology. The essential requirement is that all submitted research is hypothesis-driven, with significant positive and negative results both welcomed. Equal publication emphasis is placed on etiology, pathogenesis, diagnosis, prevention and treatment.
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