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The purpose of this study is to examine the effect of early incomplete follow-up on overall survival among stage I lung cancer patients. Patients with clinical stage I lung cancer at our institution between 2007 and 2016 were identified (N = 1111). Exclusions included < 18 years of age (N = 2), missing stage or demographics (N = 56), incomplete appointment data or had only one scheduled appointment (N = 351), or did not survive for at least 1 year after diagnosis (N = 120). Missed appointments were defined as unattended follow-up appointments within the first year of diagnosis without an attended appointment in the subsequent 60 days. The primary outcome was the hazard ratio (HR) for death associated per 10% increase in missed oncology follow-up appointments. Univariable and descriptive statistics were performed, and a multivariable landmark Cox regression model was created to examine the effect of missed oncology follow-up on survival. A total of 582 patients were analyzed with median follow-up of 3.2 years and median age of 69 years. On multivariable analysis controlling for age, sex, race, insurance status, and definitive treatment type the HR for death was 1.44 (95% CI 1.05–1.97) for every 10% increase in missed appointments. Incomplete oncologic follow-up may negatively impact overall survival among survivors of early-stage lung cancer. [ABSTRACT FROM AUTHOR]

Introduction: Partial breast irradiation (PBI) has increased in utilization, with the postoperative lumpectomy cavity and clips used to guide target volumes. The ideal timing to perform computed tomography (CT)-based treatment planning for this technique is unclear. Prior studies have examined change in volume over time from surgery but not the effect of patient characteristics on lumpectomy cavity volume. We sought to investigate patient and clinical factors that may contribute to larger postsurgical lumpectomy cavities and therefore predict for larger PBI volumes. Methods: A total of 351 consecutive women with invasive or in situ breast cancer underwent planning CT after breast-conserving surgery at a single institution during 2019 and 2020. Lumpectomy cavities were contoured, and volume was retrospectively computed using the treatment planning system. Univariate and multivariate analyses were performed to evaluate the associations between lumpectomy cavity volume and patient and clinical factors. Results: Median age was 61.0 years (range, 30-91), 23.9% of patients were Black people, 52.1% had hypertension, the median body mass index (BMI) was 30.4 kg/m², 11.4% received neoadjuvant chemotherapy, 32.5% were treated prone, mean interval from surgery to CT simulation was 54.1 days ± 45.9, and mean lumpectomy cavity volume was 42.2 cm3 ± 52.0. Longer interval from surgery was significantly associated with smaller lumpectomy cavity volume on univariate analysis, p = 0.048. Race, hypertension, BMI, the receipt of neoadjuvant chemotherapy, and prone position remained significant on multivariate analysis (p < 0.05 for all). Prone position vs. supine, higher BMI, the receipt of neoadjuvant chemotherapy, the presence of hypertension, and race (Black people vs. White people) were associated with larger mean lumpectomy cavity volume. Discussion: These data may be used to select patients for which longer time to simulation may result in smaller lumpectomy cavity volumes and therefore smaller PBI target volumes. Racial disparity in cavity size is not explained by known confounders and may reflect unmeasured systemic determinants of health. Larger datasets and prospective evaluation would be ideal to confirm these hypotheses. [ABSTRACT FROM AUTHOR]

Pre-residency peer-reviewed publications (PRP) have been associated with subsequent resident choice of academic versus private practice career. The evolution of PRP prevalence among radiation oncology resident classes has yet to be examined. A list of radiation oncology residents from the graduating classes of 2016 and 2022 were obtained, and PRP was compiled as the number of publications a resident had listed in PubMed as of the end of the calendar year of residency application. Statistical analysis was conducted using Fisher's exact test. Analysis of 163 residents from the 2016 class compared with 195 from the 2022 class revealed that the proportion of residents with zero PRP decreased from 46.6% to 23.6% between the 2016 to 2022 classes (p<0.0001), while that of residents with one PRP increased from 17.8% to 19.0% (p>0.05) and with at least two PRP increased from 35.6% to 57.4% (p<0.0001). Residents with a PhD were more likely to have at least two PRP in each class (p<0.0001). As with the class of 2016, there remained no significant difference in PRP by gender for the class of 2022. Over the past six years, PRP has become more prevalent among incoming radiation oncology residents. Residents in the class of 2016 were 180% less likely than the class of 2022 to have at least one PRP, and 60% less likely to have at least two PRP. These findings are indicative of the increasing pressure on medical students to enter residency with a publication background. [ABSTRACT FROM AUTHOR]

Background: We used two models to simulate a proposed noninferiority trial of radiotherapy (RT) omission in low-risk invasive breast cancer to illustrate how modeling could be used to predict the trial's outcomes, inform trial design, and contribute to practice debates.Methods: The proposed trial was a prospective randomized trial of no-RT vs RT in women age 40 to 74 years undergoing lumpectomy and endocrine therapy for hormone receptor-positive, human epidermal growth factor receptor 2-negative, stage I breast cancer with an Oncotype DX score of 18 or lower. The primary endpoint was recurrence-free interval (RFI), including locoregional recurrence, distant recurrence, and breast cancer death. Noninferiority required the two-sided 90% confidence interval of the RFI hazard ratio (HR) for no-RT vs RT to be entirely below 1.7. Model inputs included published data. The trial was simulated 1000 times, and results were summarized as percent concluding noninferiority and mean (standard deviation) of hazard ratios for Model GE and Model M, respectively.Results: Noninferiority was demonstrated in 18.0% and 3.7% for the two models. The respective means (SD) of the RFI hazard ratios were 1.8 (0.7) and 2.4 (0.9); most were locoregional recurrences. The mean five-year RFI rates for no-RT vs RT (SD) were 92.7% (2.9%) vs 95.5% (2.2%) and 88.4% (2.0%) vs 94.5% (1.6%). Both models showed little or no difference in breast cancer-specific or overall survival. Alternative definitions of low risk based on combinations of age and grade produced similar results.Conclusions: The proposed trial was unlikely to show noninferiority of omitting radiotherapy even using alternative definitions of low-risk, as the endpoint included local recurrence. Future trials regarding radiotherapy should address absolute reduction in recurrence and impact of type of recurrence on the patient. [ABSTRACT FROM AUTHOR]

Background: Radiotherapy after breast conservation has become the standard of care. Prior meta-analyses on effects of radiotherapy predated availability of gene expression profiling (GEP) to assess recurrence risk and/or did not include all relevant outcomes. This analysis used GEP information with pooled individual-level data to evaluate the impact of omitting radiotherapy on recurrence and mortality.Methods: We considered trials that evaluated or administered radiotherapy after lumpectomy in women with low-risk breast cancer. Women included had undergone lumpectomy and were treated with hormonal therapy for stage I, ER+ and/or PR+, HER2- breast cancer with Oncotype scores no greater than 18. Recurrence-free interval (RFI), type of RFI (locoregional or distant), and breast cancer-specific and overall survival were compared between no radiotherapy and radiotherapy using adjusted Cox models. All statistical tests were two-sided.Results: The final sample included 1778 women from seven trials. Omission of radiotherapy was associated with an overall adjusted hazard ratio of 2.59 (95% confidence interval [CI] = 1.38 to 4.89, P = .003) for RFI. There was a statistically significant increase in any first locoregional recurrence (P = .001), but not distant recurrence events (P = .90), or breast cancer-specific (P = .85) or overall survival (P = .61). Five-year RFI rate was high (93.5% for no radiotherapy vs 97.9% for radiotherapy; absolute reduction = 4.4%, 95% CI = 0.7% to 8.1%, P = .03). The effects of radiotherapy varied across subgroups, with lower RFI rates for those with Oncotype scores of less than 11 (vs 11-18), older (vs younger), and ER+/PR+ status (vs other).Conclusions: Omission of radiotherapy in hormone-sensitive patients with low recurrence risk may lead to a modest increase in locoregional recurrence event rates, but does not appear to increase the rate of distant recurrence or death. [ABSTRACT FROM AUTHOR]