Predicting pathological response to neoadjuvant or conversion chemoimmunotherapy in stage IB-III non-small cell lung cancer patients using radiomic features.

BACKGROUND: To develop a radiomics model based on chest computed tomography (CT) for the prediction of a pathological complete response (pCR) after neoadjuvant or conversion chemoimmunotherapy (CIT) in patients with non-small cell lung cancer (NSCLC). METHODS: Patients with stage IB-III NSCLC who received neoadjuvant or conversion CIT between September 2019 and July 2021 at Hunan Cancer Hospital, Xiangya Hospital, and Union Hospital were retrospectively collected. The least absolute shrinkage and selection operator (LASSO) were used to screen features. Then, model 1 (five radiomics features before CIT), model 2 (four radiomics features after CIT and before surgery) and model 3 were constructed for the prediction of pCR. Model 3 included all nine features of model 1 and 2 and was later named the neoadjuvant chemoimmunotherapy-related pathological response prediction model (NACIP). RESULTS: This study included 110 patients: 77 in the training set and 33 in the validation set. Thirty-nine (35.5%) patients achieved a pCR. Model 1 showed area under the curve (AUC) = 0.65, 64% accuracy, 71% specificity, and 50% sensitivity, while model 2 displayed AUC = 0.81, 73% accuracy, 62% specificity, and 92% sensitivity. In comparison, NACIP yielded a good predictive value, with an AUC of 0.85, 81% accuracy, 81% specificity, and 83% sensitivity in the validation set. CONCLUSION: NACIP may be a potential model for the early prediction of pCR in patients with NSCLC treated with neoadjuvant/conversion CIT.

Risk Factors of Anastomotic Leakage After Anterior Resection for Rectal Cancer Patients.

OBJECTIVE: Anastomotic leakage (AL) is one of the serious complications after anterior resection for rectal cancer. Defunctioning stoma (DS) is one of the most widely used approaches to prevent it; however, the effect of DS on the occurrence of AL remains controversial. This study aimed to investigate risk factors of AL and assess the effect of DS after anterior resection for rectal cancer patients. METHODS: A retrospective analysis was conducted for the data of 1840 patients who underwent anterior resection for rectal cancer from January 2014 to December 2019. RESULTS: The results showed the overall AL incidence was 7.5%. Multivariate analyses revealed that males [odds ratio (OR) 1.562] and T3-T4 stage (OR 1.729) were independent risk factors for all patients. After propensity score matching analysis, the AL incidence was 14.1% in the group with no DS and 6.4% in the DS group (P<0.001). The clinical AL (grade B + grade C) incidence was 12.4% in no DS group and 4.6% in the DS group (P<0.001). CONCLUSION: The study suggested that males and T3-T4 stage were independent risk factors of AL. In addition, DS could reduce the rate of symptomatic AL.