Introduction: Sinonasal inverted papilloma is a benign but aggressive tumour of the sinonasal tract. It has the potential for malignant transformation into sinonasal squamous cell carcinoma. Radiomics, which involves the extraction and analysis of quantitative imaging features, has emerged as a promising tool in prediction of tumour behaviour. This systematic review aims to critically evaluate the current literature on the application of radiomics in predicting the malignant transformation of sinonasal inverted papilloma. Methods: A comprehensive literature search was conducted across Medline (via PubMed), EMBASE, and Web of Science. Studies investigating the use of radiomics to predict malignant transformation in sinonasal inverted papilloma were selected based on predefined inclusion criteria. Methodological quality and risk of bias were assessed using the QUADAS-2 tool and the Radiomics Quality Score (RQS). Results: Five studies were included, encompassing 837 participants. All studies were retrospective and utilised MRI-based radiomics in the construction of their models. The radiomic models demonstrated satisfactory predictive performance. The median AUCs across the included studies were 0.954 (range: 0.901–0.987) in the training set and 0.914 (range: 0.8–0.989) in the validation set. Conclusions: This systematic review highlights the potential of radiomics as a predictive tool for the malignant transformation of sinonasal inverted papilloma. Radiomics shows promise as a non-invasive adjunct for clinical decision-making. However, further research is needed to standardise methodologies and validate these findings in larger multicentre cohorts.
引言：鼻腔鼻窦内翻性乳头状瘤是一种良性但具有侵袭性的鼻腔鼻窦肿瘤，存在恶变为鼻腔鼻窦鳞状细胞癌的潜在风险。影像组学通过提取和分析定量影像特征，已成为预测肿瘤行为的有力工具。本系统综述旨在批判性评估当前关于影像组学在预测鼻腔鼻窦内翻性乳头状瘤恶变中应用的文献。 方法：通过Medline（经由PubMed）、EMBASE和Web of Science数据库进行全面文献检索。根据预设纳入标准，筛选出研究影像组学预测鼻腔鼻窦内翻性乳头状瘤恶变的相关文献。采用QUADAS-2工具和影像组学质量评分（RQS）评估研究方法学质量及偏倚风险。 结果：共纳入5项研究，涉及837名参与者。所有研究均为回顾性设计，并采用基于MRI的影像组学构建预测模型。影像组学模型展现出良好的预测性能：纳入研究的训练集中位受试者工作特征曲线下面积（AUC）为0.954（范围：0.901–0.987），验证集中位AUC为0.914（范围：0.8–0.989）。 结论：本系统综述揭示了影像组学作为鼻腔鼻窦内翻性乳头状瘤恶变预测工具的潜力。影像组学有望成为临床决策中无创性辅助手段。然而，仍需进一步研究以标准化方法学，并在更大规模的多中心队列中验证这些发现。
肿瘤(癌症)患者之家