Pal Mousumi, Nawn Debaleena, Lahiri Pooja, Das Debnath, Paul Ranjan Rashmi, Chakraborty Debjani
Department of Oral and Maxillofacial Pathology, Guru Nanak Institute of Dental Sciences and Research, Kharagpur, West Bengal, India.
Advanced Technology Development Centre, Indian Institute of Technology, Kharagpur, West Bengal, India.
J Oral Maxillofac Pathol. 2020 Jan-Apr;24(1):188. doi: 10.4103/jomfp.JOMFP_297_19. Epub 2020 May 8.
In the context of early diagnosis and prevention of oral cancer, precise assessment of malignant potentiality of the oral potentially malignant disorders, particularly oral submucous fibrosis (OSF) is crucial. Till date, the assessment of malignant potentiality suffers from predictive ambiguity due to the lack of precision in the gold standard techniques. This can be addressed by integrating heuristic domain knowledge with quantitative analysis.
The aim of this study is to propose an index for enhancing accuracy in malignant potentiality evaluation.
The present study analyzes important histomorphometric attributes (epithelial thickness, basal cell nuclear size, nuclear-to-cytoplasmic area ratio of basal cells, chromaticity of basal cell nucleus, thickness of basement membrane, ratio of vasculature in juxta-epithelial connective tissue [i.e., area covered by blood vessels/total area], collagen density in the lamina propria) of oral mucosa in dysplastic and nondysplastic OSF in association with relevant oncopathological appreciations (weightage of different features as suggested by oral pathologists) toward proposing a "Malignant Potentiality Index" (MPI).
Analysis of variance and notch box plot analysis depict statistically significant differences ( < 0.0001) in the histopathological features among different study groups (normal oral mucosa, OSF without dysplasia, OSF with dysplasia). Histopathological observation of one OSF patient with calculated MPI is shown.
This newly proposed diagnostic cum prognostic decision-making parameter, the "MPI" may bring a value addition to the conventional diagnostic gold standard.
在口腔癌的早期诊断和预防背景下，准确评估口腔潜在恶性疾病，尤其是口腔黏膜下纤维化（OSF）的恶性潜能至关重要。迄今为止，由于金标准技术缺乏精确性，恶性潜能评估存在预测模糊性。这可以通过将启发式领域知识与定量分析相结合来解决。
本研究的目的是提出一种提高恶性潜能评估准确性的指标。
本研究分析了发育异常和非发育异常的OSF中口腔黏膜的重要组织形态计量学属性（上皮厚度、基底细胞核大小、基底细胞的核质面积比、基底细胞核的色度、基底膜厚度、近上皮结缔组织中的脉管系统比例[即血管覆盖面积/总面积]、固有层中的胶原密度），并结合相关肿瘤病理学评估（口腔病理学家建议的不同特征的权重），以提出一个“恶性潜能指数”（MPI）。
方差分析和缺口箱线图分析表明，不同研究组（正常口腔黏膜、无发育异常的OSF、有发育异常的OSF）之间的组织病理学特征存在统计学显著差异（<0.0001）。展示了一名OSF患者经计算的MPI的组织病理学观察结果。
这个新提出的兼具诊断和预后决策功能的参数“MPI”可能会为传统诊断金标准增添价值。
