Liu and colleagues performed a retrospective study to validate a computed tomography (CT) scan-based radiomic model to detect lymph node metastasis in cervical cancer. The proposed model incorporating the arterial and venous phase CT-scan features represented a non-invasive method exhibiting high sensitivity in the prediction of lymph node metastasis. It is well established that lymph node metastasis is one of the most significant prognostic factors in cervical cancer. For this reason, management of cervical cancer is strictly related to lymph node status, with international guidelines recommending definitive chemo-radiation in case of metastatic lymph node. More and more evidence supports the use of sentinel lymph node in early-stage cervical cancer but its frozen section analysis may result in false negative results; in locally-advanced stages staging para-aortic lymphadenectomy is proposed by many Authors to tailor chemoradiotherapy treatment, with potential intra-and post-operative related complications. The use of a validated radiomic model able to predict lymph node metastases in radiologically normal lymph nodes may represent an essential tool to possibly spare lympadenectomy related morbidity.

Liu 及其同事进行了一项回顾性研究，以验证基于计算机断层扫描 (CT) 扫描的放射组学模型，以检测宫颈癌的淋巴结转移。所提出的模型结合了动脉和静脉期 CT 扫描特征，代表了一种在预测淋巴结转移方面表现出高灵敏度的非侵入性方法。众所周知，淋巴结转移是宫颈癌最重要的预后因素之一。因此，宫颈癌的治疗与淋巴结状态密切相关，国际指南建议对转移性淋巴结进行明确的放化疗。越来越多的证据支持在早期宫颈癌中使用前哨淋巴结，但其冰冻切片分析可能导致假阴性结果；许多作者建议在局部晚期分期主动脉旁淋巴结清扫术，以调整放化疗的治疗，但可能会出现术中和术后相关并发症。使用能够预测放射学正常淋巴结中淋巴结转移的经过验证的放射组学模型可能代表了可能避免淋巴结切除术相关发病率的重要工具。