Risk-Adapted Target Delineation for Breast Cancer: Controversies and Considerations

The advent of computed tomography–based planning coupled with modern tools for target delineation and hypofractionated treatment schedules has increased efficiency and throughput for patients with breast cancer. While the benefit of adjuvant radiation therapy (RT) in reducing locoregional recurrences is established, disentangling local versus regional recurrence risks with modern treatment protocols has become an area of active research to de-escalate treatment. Delineation guidelines for nodal regions either attempt to replicate results of conventional RT techniques by translating bony landmarks to clinical target volumes or use landmarks based on the fact that lymphatic channels run along the vasculature. Because direct comparisons of both approaches are implausible, mapping studies of nodal recurrences have reported on the proportion of nodes included in these delineation guidelines, and larger, bony, landmark-based guidelines appear intuitively appealing for patients with unfavorable risk factors. A pooled analysis of these studies is reported here, along with literature supporting the exclusion of the true chest wall from postmastectomy/breast-conserving surgery clinical target volumes and the selective (versus routine) use of bolus during postmastectomy RT. The risk-adapted approach suggested here accounts for the risk of recurrence as well as toxicity and endorses nuanced target volume delineation rather than a one-size-fits-all approach

Intuitive evaluation of contemporary management strategies in thymoma — the largest Indian experience

Background: The aim was perusal of the treatment strategies, clinical outcomes and factors impacting these outcomes in thymoma. Materials and methods: A total of 119 patients diagnosed and treated cases of thymoma, at our hospital, were taken for analysis. Thirty-one patients were excluded due to inadequate medical records. Descriptive statistics were used to report demographic and clinical characteristics. Time period between diagnosis and death was defined as overall survival (OS). Multivariate analysis (MVA), using cox regression modelling, was done by including clinicopathological factors in a bid to identify prognostic factors influencing OS. SPSS version 26 was used for statistical analysis. Results: The mean age of the patients was 52.17 years and 39 (44.3%), 19 (21.6%), 17 (1.3%) and 13 (4.8%) patients presented with Masaoka stage II, IV, III and I, respectively. Surgery was done in 64 (72.7%) of the patients as a part of the treatment strategy. Radiotherapy was administered to a total of 57 patients with a median dose of 50.4 Gy. Early Masaoka stage at presentation and use of surgery in the treatment plan were statistically significant prognostic factors for a better overall survival on multivariate analysis. Conclusion: Judicious use of radiotherapy and chemotherapy in locally advanced cases may render them resectable. In a bid to gain good survival rates, aggressive multimodality treatment should be offered to the patients

Tri- modality therapy in advanced esophageal carcinoma: long- term results and insights from a developing world, institutional cohort

Objective: To evaluate treatment outcomes in patients from a low-middle income country (LMIC) with esophageal carcinoma who underwent esophagectomy after neoadjuvant chemoradiation (NACRT/S). Methods: Between 2010 and 2020, 254 patients (median follow-up: 53 months) met our inclusion criteria. Out-of-field nodal regions were determined by reviewing individual radiotherapy plans. Cox regression modelling was performed to analyze overall survival (OS) and recurrence-free survival (RFS), while pathological complete response (pCR) prediction utilized Poisson regression. Results: The median OS was 71.4 months (interquartile range: 19.6–∞), RFS did not reach the median and pCR rate was 46%. On multivariable Cox regression, BMI [0.93 (0.89–0.98); 0.94 (0.89–0.99)] and absence of out-of-field node with extranodal extension (ENE)[0.22 (0.09–0.53); 0.30 (0.12–0.75)] influenced OS and RFS, respectively. Age [1.03 (1.01–1.06)], nodal stage [cN2-3 vs cN0: 2.67 (1.08–6.57)] and adventitial involvement [2.54 (1.36–4.72)] also influenced OS, while involved margins [3.12 (1.24–7.81)] influenced RFS. On multivariable Poisson regression, non-CROSS-chemotherapy regimens [0.65 (0.44–0.95)] and residual primary disease on pre-surgical imaging [0.73 (0.57–0.93)] were significantly associated with pCR. The most frequently involved in-field and out-of-field nodal regions were the periesophageal and perigastric (greater and lesser curvature) regions, respectively. Conclusion: NACRT/S is feasible and effective in patients from LMIC. Out-of-field ENE merits further investigation as a prognostic factor since it significantly influenced both OS and RFS. Advances in knowledge: The results of clinical trials are replicable in LMICs. Out-of-field ENE is an independent prognostic factor for OS and RFS

Evaluation of a quality improvement intervention to reduce anastomotic leak following right colectomy (EAGLE): pragmatic, batched stepped-wedge, cluster-randomized trial in 64 countries

Background Anastomotic leak affects 8 per cent of patients after right colectomy with a 10-fold increased risk of postoperative death. The EAGLE study aimed to develop and test whether an international, standardized quality improvement intervention could reduce anastomotic leaks. Methods The internationally intended protocol, iteratively co-developed by a multistage Delphi process, comprised an online educational module introducing risk stratification, an intraoperative checklist, and harmonized surgical techniques. Clusters (hospital teams) were randomized to one of three arms with varied sequences of intervention/data collection by a derived stepped-wedge batch design (at least 18 hospital teams per batch). Patients were blinded to the study allocation. Low- and middle-income country enrolment was encouraged. The primary outcome (assessed by intention to treat) was anastomotic leak rate, and subgroup analyses by module completion (at least 80 per cent of surgeons, high engagement; less than 50 per cent, low engagement) were preplanned. Results A total 355 hospital teams registered, with 332 from 64 countries (39.2 per cent low and middle income) included in the final analysis. The online modules were completed by half of the surgeons (2143 of 4411). The primary analysis included 3039 of the 3268 patients recruited (206 patients had no anastomosis and 23 were lost to follow-up), with anastomotic leaks arising before and after the intervention in 10.1 and 9.6 per cent respectively (adjusted OR 0.87, 95 per cent c.i. 0.59 to 1.30; P = 0.498). The proportion of surgeons completing the educational modules was an influence: the leak rate decreased from 12.2 per cent (61 of 500) before intervention to 5.1 per cent (24 of 473) after intervention in high-engagement centres (adjusted OR 0.36, 0.20 to 0.64; P < 0.001), but this was not observed in low-engagement hospitals (8.3 per cent (59 of 714) and 13.8 per cent (61 of 443) respectively; adjusted OR 2.09, 1.31 to 3.31). Conclusion Completion of globally available digital training by engaged teams can alter anastomotic leak rates. Registration number: NCT04270721 (http://www.clinicaltrials.gov)