Sajida Qureshi, Waqas Ahmad Abbasi, Hira Abdul Jalil, Saba Mughal, Muhammad Saeed Quraishy
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引用次数: 0
Abstract
Background: Esophageal cancer (EC) is a significant health concern in South Asia, yet data on prognostic factors, such as lymph node ratio (LNR), in this region is limited. This study aims to assess the prognostic significance of LNR in esophageal squamous cell carcinoma (ESCC) patients undergoing concurrent neoadjuvant therapy followed by minimally invasive esophagectomy (MIE).
Methods: This retrospective study analyzed the clinical data of ESCC patients who underwent concurrent neoadjuvant therapy followed by MIE at Dr. Ruth K. M. Pfau Civil Hospital from 2019 to 2023. Lymph node ratios were derived and patients were categorized into three groups: LNR 0, LNR low (≤ 0.1), and LNR high (>0.1). Patient characteristics were compared along with lymph node groups, and survival outcomes were analyzed using the Kruskal Wallis and Chi-square/Fisher exact test, Pearson correlation, Kaplan-Meier (KM) estimates, and Cox regression models.
Results: Among the 47 patients, 15 (31.9%) deaths were observed. Patients with a high LNR had a higher mortality rate (70%) compared to those with a low LNR (41.7%) and 0 LNR (12%) (p = 0.002). Additionally, patients with a high LNR (>0.1) were associated with poorer overall survival (OS) (30.0% vs. 58.3% vs. 88.0%, p < 0.001). A significant correlation was also observed between LNR and the number of metastatic lymph nodes (correlation coefficient = 0.928, p < 0.001).
Conclusion: Our findings demonstrate that high LNR emerged as an independent prognostic factor in ESCC patients undergoing concurrent neoadjuvant therapy followed by MIE.
期刊介绍:
Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.