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Simple Summary: Since nodal metastasis is the main pattern for gastric cancer (GC) metastasis, lymph node (LN) dissection is essential for accurate staging and improving prognosis. However, debates exist regarding the necessity of No. 12a LN dissection (LND) in D2 gastrectomy. Moreover, the compliance rate for No. 12a LND in practice is low. To explore No. 12a LND noncompliance's effect on long-term prognosis in GC patients after D2 gastrectomy, we performed a retrospective propensity score matching study with 2788 patients included. The results showed that patients with No. 12a LND had a significantly greater OS than those without it before and after PSM. This study is the first propensity score matching study to demonstrate the prognostic impact of No. 12a LND noncompliance on patients who undergo D2 gastrectomy. This large population-based study may provide guidance on No. 12a LND. LN dissection is essential for accurately staging and improving GC patient prognosis. However, the compliance rate for No. 12a LND in practice is low, and its necessity is controversial. Data from GC patients who underwent total gastrectomy (TG)/distal gastrectomy (DG) plus D2 lymphadenectomy between January 2000 and December 2017 at West China Hospital, Sichuan University were reviewed. No. 12a LND noncompliance's effect on the long-term prognosis of patients with GC after D2 gastrectomy was explored. Of the 2788 patients included, No. 12a LND noncompliance occurred in 1753 patients (62.9%). Among 1035 patients with assessable LNs from station 12a, 98 (9.5%) had positive LNs detected at station 12a. No. 12a LN metastasis patients (stage IV not included) had significantly better overall survival (OS) than TNM stage IV patients (p = 0.006). Patients with No. 12a LND compliance had a significantly higher OS than those without, both before (p < 0.001) and after (p < 0.001) PSM. Cox multivariate analysis confirmed that No. 12a LND noncompliance was an independent prognostic factor before (HR 1.323, 95% CI 1.171–1.496, p < 0.001) and after (HR 1.353, 95% CI 1.173–1.560, p < 0.001) PSM. In conclusion, noncompliance with No. 12a LND compromised the long-term survival of patients who underwent D2 gastrectomy for GC. [ABSTRACT FROM AUTHOR]

Simple Summary: Perineural invasion (PNI) is present in 17–75% of prostate cancer patients and is an important mechanism for cancer progression, leading to poor prognoses. An optimized preoperative technique is needed to detect PNI in prostate cancer patients and administer the best treatment. The aim of our retrospective study was to develop a model based on high-throughput radiomic features of bi-parametric MRI combined with clinical factors that can predict PNI status in high-grade prostate cancers. In total, 183 high-grade PCa patients were included in this retrospective study, and the radiomics model based on 13 selected features of bi-parametric MRI showed better discrimination than did the conventional model in the test cohort (area under the curve (AUC): 0.908). Discrimination efficiency improved when the radiomics and clinical models were combined (AUC: 0.947). This improved model may help predict PNI in prostate cancer patients and allow more personalized clinical decision-making. Purpose: To explore the role of bi-parametric MRI radiomics features in identifying PNI in high-grade PCa and to further develop a combined nomogram with clinical information. Methods: 183 high-grade PCa patients were included in this retrospective study. Tumor regions of interest (ROIs) were manually delineated on T2WI and DWI images. Radiomics features were extracted from lesion area segmented images obtained. Univariate logistic regression analysis and the least absolute shrinkage and selection operator (LASSO) method were used for feature selection. A clinical model, a radiomics model, and a combined model were developed to predict PNI positive. Predictive performance was estimated using receiver operating characteristic (ROC) curves, calibration curves, and decision curves. Results: The differential diagnostic efficiency of the clinical model had no statistical difference compared with the radiomics model (area under the curve (AUC) values were 0.766 and 0.823 in the train and test group, respectively). The radiomics model showed better discrimination in both the train cohort and test cohort (train AUC: 0.879 and test AUC: 0.908) than each subcategory image (T2WI train AUC: 0.813 and test AUC: 0.827; DWI train AUC: 0.749 and test AUC: 0.734). The discrimination efficiency improved when combining the radiomics and clinical models (train AUC: 0.906 and test AUC: 0.947). Conclusion: The model including radiomics signatures and clinical factors can accurately predict PNI positive in high-grade PCa patients. [ABSTRACT FROM AUTHOR]

Simple Summary: Financial burdens result from the growing out-of-pocket costs associated with cancer care to help patients regain physical and psychological health-related quality of life (HRQoL) are dramatically intensified. The aim of our study was to assess the association of HRQoL with financial burden using both subjective and objective methods among patients with non-Hodgkin's lymphoma (NHL) in China. A majority of the patients reported suffering moderate to high financial burdens. A significant relationship between increased financial burden and reduced HRQoL was identified. Patients tended to report a poorer HRQoL when using objective method than using subjective method to estimate financial burden. Medical professionals should involve patients and their families into the clinical decision making and provide them cost-effective plans. Objective: This study aimed to assess the association of health-related quality of life (HRQoL) with financial burden among patients with non-Hodgkin's lymphoma (NHL) in China. Methods: The data used for the analyses came from a nationwide survey to investigate the health status of patients with lymphomas in China. The EQ-5D and EORTC QLQ-C30 were used to assess the patients' HRQoL. The financial burden was calculated using both subjective and objective methods. The chi-squared test, Kruskal–Wallis one-way analysis of variance, ordinal least squared model, and Tobit regression model were used to estimate the relationship between financial burden and HRQoL. Results: Data from 1549 patients who reported living with 11 subtypes of NHL were elicited for our analysis. Approximately 60% of respondents reported suffering moderate to high financial burdens. A significant relationship between increased financial burden and reduced HRQoL scores, including the EQ-Index, physical, emotional, and social functioning, was identified. Compared with using an objective method to measure financial burden, patients with NHL indicated a poorer HRQoL when using a subjective method to measure financial burden. Conclusion: Medical professionals should select highly cost-effective treatments and ensure that patients understand the potential financial consequences of those treatments. [ABSTRACT FROM AUTHOR]