insert intext citation with in five years to support your rationale.In their study, Li et al. (2024) conducted a quantitative parameter analysis utilizing pretreatment dual-energy computed tomography (DECT) to examine cervical lymph node characteristics and predict radiotherapy sensitivity in patients with nasopharyngeal carcinoma (NPC). The selection of binary logistic regression as a statistical method in this research warrants examination. I will delve into the rationale behind this choice, assess its appropriateness, and evaluate how the results were presented.The authors chose binary logistic regression primarily to analyze the probability of a binary outcome based on one or more predictor variables. In the context of the study, the outcome of interest centered around predicting the sensitivity to radiotherapy based on various quantitative parameters derived from DECT of lymph nodes. The nature of the outcome variablesensitivity categorized as "sensitive" or "non-sensitive"is inherently binary, justifying the use of this statistical method.The results table does indeed stand alone to some extent but benefits significantly from accompanying textual explanations. For an unacquainted reader, while the table clearly states parameters and results, it lacks interpretive context that elucidates the clinical significance of the findings. Without the narrative interspersed in the article explaining each parameter's importance, the