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Telemedicine has been rapidly adopted in the wake of the COVID-19 pandemic. There is limited work surrounding demographic and socioeconomic disparities that may exist in telemedicine utilization. This study aimed to examine demographic and socioeconomic differences in surgical patient telemedicine usage during the COVID-19 pandemic. Department of Surgery outpatients seen from July 1, 2019 to May 31, 2020 were stratified into three visit groups: pre-COVID-19 in-person, COVID-19 in-person, or COVID-19 telemedicine. Generalized linear models were used to examine associations of sex, race/ethnicity, Distressed Communities Index (DCI) scores, MyChart activation, and insurance status with telemedicine usage during the COVID-19 pandemic. 14,792 patients (median age 60, female [57.0%], non-Hispanic White [76.4%]) contributed to 21,980 visits. Compared to visits before the pandemic, telemedicine visits during COVID-19 were more likely to be with patients from the least socioeconomically distressed communities (OR, 1.31; 95% CI, 1.08,1.58; P = 0.005), with an activated MyChart (OR, 1.38; 95% CI, 1.17-1.64; P < .001), and with non-government or commercial insurance (OR, 2.33; 95% CI, 1.84-2.94; P < .001). Adjusted comparison of telemedicine visits to in person visits during COVID-19 revealed telemedicine users were more likely to be female (OR, 1.38, 95% CI, 1.10-1.73; P = 0.005) and pay with non-government or commercial insurance (OR, 2.77; 95% CI, 1.85-4.16; P < .001). During the first three months of the COVID-19 pandemic, telemedicine was more likely utilized by female patients and those without government or commercial insurance compared to patients who used in-person visits. Interventions using telemedicine to improve health care access might consider such differences in utilization.

Organoids are routinely imaged by brightfield microscopy at low magnification, but these images are challenging to analyze quantitatively at scale. Given differences in organoid-culture format and image acquisition among research groups, there is a general need for versatile segmentation algorithms that refine for specific applications. Here, we introduce OrganoSeg2, an overhauled software that substantively advances the multi-window adaptive thresholding of its predecessor. OrganoSeg2 gives users access to additional segmentation parameters that were latent in OrganoSeg, and common operations are accelerated ~10-fold. Using data from six organoid types, we find that the generalized segmentation accuracy of OrganoSeg2 surpasses multiple alternatives, including segmenters based on deep learning. OrganoSeg2 adds longitudinal single-organoid tracking and multicolor fluorescence quantification, which we use to examine growth trajectories and radiotherapy responses in luminal breast cancer organoids. OrganoSeg2 is shared freely as installation packages for current users and source code for future developers ( https://github.com/JanesLab/OrganoSeg2 ).

Background Primary luminal breast cancer cells lose their identity rapidly in standard tissue culture, which is problematic for testing hormone interventions and molecular pathways specific to the luminal subtype. Breast cancer organoids are thought to retain tumor characteristics better, but long-term viability of luminal-subtype cases is a persistent challenge. Our goal was to adapt short-term organoids of luminal breast cancer for parallel testing of genetic and pharmacologic perturbations. Methods We freshly isolated patient-derived cells from luminal tumor scrapes, miniaturized the organoid format into 5 µl replicates for increased throughput, and set an endpoint of 14 days to minimize drift. Therapeutic hormone targeting was mimicked in these “zero–passage” organoids by withdrawing β-estradiol and adding 4-hydroxytamoxifen. We also examined sulforaphane as an electrophilic stress and commercial nutraceutical with reported anti-cancer properties. Downstream mechanisms were tested genetically by lentiviral transduction of two complementary sgRNAs and Cas9 stabilization for the first week of organoid culture. Transcriptional changes were measured by RT-qPCR or RNA sequencing (RNA-seq), and organoid phenotypes were quantified by serial brightfield imaging, digital image segmentation, and regression modeling of volumetric growth rates. Results We achieved > 50% success in initiating luminal breast cancer organoids from tumor scrapes and maintaining them to the 14-day zero-passage endpoint. Success was mostly independent of clinical parameters, supporting general applicability of the approach. Abundance of ESR1 and PGR in zero-passage organoids consistently remained within the range of patient variability at the endpoint. However, responsiveness to hormone withdrawal and blockade was highly variable among luminal breast cancer cases tested. Combining sulforaphane with knockout of NQO1 (a phase II antioxidant response gene and downstream effector of sulforaphane) also yielded a breadth of organoid growth phenotypes, including growth inhibition with sulforaphane, growth promotion with NQO1 knockout, and growth antagonism when combined. Conclusions Zero-passage organoids are a rapid and scalable way to interrogate properties of luminal breast cancer cells from patient-derived material. This includes testing drug mechanisms of action in different clinical cohorts. A future goal is to relate inter-patient variability of zero-passage organoids to long-term outcomes.

Functional health literacy is critical for patients' functional understanding and management of disease including adherence to medications and treatment recommendations. The purpose of this study was to determine if there is a relationship between self-reported health literacy and 1) decision to take adjuvant endocrine therapy and 2) adherence to adjuvant endocrine therapy at 2 years among women with breast cancer. We initiated a prospective health literacy assessment to determine the relationship between health literacy and breast health outcomes. Among our overall cohort, we determined women who had estrogen receptor positive (ER+) disease and were recommended to take adjuvant endocrine therapy, those who initiated treatment, and those adherent at 2 years following diagnosis. Descriptive statistics and logistic regression were calculated to determine the relationship between health literacy and both initiation and adherence. Among the 340 patients in the sample who were recommended to take adjuvant endocrine therapy, 296 (87.1%) initiated the therapy. Two-year follow-up data are available in 136 patients with ER+ tumors. Among the patients with 2-year longitudinal data available, 108 (79.4%) were adherent and still taking the endocrine therapy at 2 years following diagnosis. In univariate logistic regression analysis, there was no statistical significance between health literacy and initiation of adjuvant endocrine therapy or adherence to adjuvant endocrine therapy at 2 years. Despite the underpinnings regarding health literacy and medication adherence supporting our hypothesis, we did not find an association between health literacy and the decision to initiate therapy or continued adherence at 2 years following diagnosis. Further study is needed to determine the nuances in adherence to adjuvant endocrine therapy for women with breast cancer.

Although most survivors of breast cancer report substantial sexual concerns following treatment, few receive support for these concerns. Delivering sexual health care to survivors of breast cancer via the internet could overcome many of the barriers to in-person treatment. Even when delivered remotely, survivor time constraints remain a leading barrier to sexual health intervention uptake. Guided by the multiphase optimization strategy methodological framework, the primary objective of this study is to identify the most efficient internet-delivered sexual health intervention package that is expected to provide survivors of breast cancer the greatest benefit with the fewest (and least-intensive) intervention components. This study aims to determine how intervention components work (mediators) and for whom they work best (moderators). Partnered, posttreatment adult female survivors of breast cancer (N=320) experiencing at least 1 bothersome sexual symptom (ie, pain with sex, vaginal dryness, low sexual desire, and difficulty with orgasm) related to their breast cancer treatment will be enrolled. Clinic-based recruitment will be conducted via the Wake Forest National Cancer Institute Community Oncology Research Program (NCORP) Research Base. Participants will be randomly assigned to 1 of 16 combinations of four intervention components with two levels each in this factorial trial: (1) psychoeducation about cancer-related sexual morbidity (receive either enhanced vs standard versions); (2) communication skills training for discussing concerns with health care providers (received vs not received); (3) communication skills training for discussing concerns with a partner (received vs not received); and (4) intimacy promotion skills training (received vs not received). Cores will be fully automated and implemented using a robust internet intervention platform with highly engaging elements such as animation, video, and automated email prompts. Survivors will complete web-based assessments at baseline (prerandomization time point) and again at 12 and 24 weeks later. The primary study aim will be achieved through a decision-making process based on systematically evaluating the main and interaction effects of components on sexual distress (Female Sexual Distress Scale-Desire, Arousal, Orgasm) and sexual functioning (Female Sexual Function Index) using a generalized linear model approach to ANOVA with effect coding. Mediation analyses will be conducted through a structural equation modeling approach, and moderation analyses will be conducted by extending the generalized linear model to include interaction effects. This protocol has been reviewed and approved by the National Cancer Institute Central Institutional Review Board. Data collection is planned to begin in March 2024 and conclude in 2027. By identifying the combination of the fewest and least-intensive intervention components likely to provide survivors of breast cancer the greatest sexual health benefit, this study will result in the first internet intervention that is optimized for maximum impact on the undertreated, prevalent, and distressing problem of breast cancer-related sexual morbidity. ClinicalTrials.gov NCT06216574; https://clinicaltrials.gov/study/NCT06216574. PRR1-10.2196/57781.

Abstract Background Prospective randomized data supports radiation omission in women ≥65 years who take adjuvant endocrine therapy (AET) following breast-conserving surgery. Many patients who omit radiation stop AET early due to side effects. In the POWER trial, a prospective single-arm study, patients took 90 days of preoperative endocrine therapy (pre-ET) to assess tolerance before making adjuvant treatment decisions. We hypothesized that patient-reported outcomes (PROs) during pre-ET would be heterogeneous and that 90 days was sufficient time for symptoms to develop. Patients and Methods PRO data from POWER trial participants was obtained before, during, and after pre-ET, including health-related quality of life (HRQoL), depression, and ET symptoms using the EORTC-QLQ, CESD-R, and BCPT-SCL tools. PRO assessments were further analyzed after stratifying patients by high or low perceived sensitivity to medicine (PSM). Results Pre-ET PROs were assessed for 75 participants. The majority (73.3%) reported symptoms during pre-ET. Only 10.7% had symptoms severe enough to stop pre-ET before 90 days. Vasomotor (42.7%) and musculoskeletal (41.3%) symptoms were the most common. HRQoL was preserved for 66.6% of participants. Patients with high PSM had more ET side effects. Conclusions Patients developed similar side effects during pre-ET as those typically seen with AET. PROs and the impact of pre-ET on HRQoL were patient-dependent. A 90-day course of pre-ET is sufficient for patients to develop symptoms reflective of long-term AET. Future analyses will assess the association of pre-ET PROs with AET initiation and adherence.

Perineal wound infection (PWI) after abdominoperineal resection causes a burden for patients and health systems. We sought to determine the effect of patient positioning on the incidence of postoperative surgical site infection. We conducted a retrospective cohort study of patients who underwent APR in our hospital system over a 10-year period. Univariate analysis was performed to identify characteristics associated with position and PWI. A logistic model was developed to assess the relationship of position and PWI, with adjustment for confounders. Patient characteristics were similar for the prone and lithotomy positions. Operative time was less for the prone than for the lithotomy position. The prone position was associated with a reduced risk of PWI. After adjustment for potential confounders, the prone position remained significantly associated with a reduction in PWI. Positioning patients in the prone position results in a lower occurrence of postoperative PWI and shorter operative time. We advocate this technique for most indications of APR.

PurposeIn order to facilitate targeted outreach, we sought to identify patient populations with a lower likelihood of returning for breast cancer screening after COVID-19-related imaging center closures.MethodsWeekly total screening mammograms performed throughout 2019 (baseline year) and 2020 (COVID-19-impacted year) were compared. Demographic and clinical characteristics, including age, race, ethnicity, breast density, breast cancer history, insurance status, imaging facility type used, and need for interpreter, were compared between patients imaged from March 16 to October 31 in 2019 (baseline cohort) and 2020 (COVID-19-impacted cohort). Census data and an online map service were used to impute socioeconomic variables and calculate travel times for each patient. Logistic regression was used to identify patient characteristics associated with a lower likelihood of returning for screening after COVID-19-related closures.ResultsThe year-over-year cumulative difference in screening mammogram volumes peaked in week 21, with 2962 fewer exams in the COVID-19-impacted year. By week 47, this deficit had reduced by 49.4% to 1498. A lower likelihood of returning for screening after COVID-19-related closures was independently associated with younger age (odds ratio (OR) 0.78, p < 0.001), residence in a higher poverty area (OR 0.991, p = 0.014), lack of health insurance (OR 0.65, p = 0.007), need for an interpreter (OR 0.68, p = 0.029), longer travel time (OR 0.998, p < 0.001), and utilization of mobile mammography services (OR 0.27, p < 0.001).ConclusionSeveral patient factors are associated with a lower likelihood of returning for screening mammography after COVID-19-related closures. Knowledge of these factors can guide targeted outreach to vulnerable patients to facilitate breast cancer screening.

The COVID-19 pandemic has led to numerous delays in cancer-related care and cancer-specific screening, but the extent is not fully understood. For those that experience a delay or disruption in care, health related self-management is required to re-engage in care pathways and the role of health literacy in this pathway has not been explored. The purpose of this analysis is to (1) report the frequency of self-reported delays in cancer treatment and preventative screening services at an academic, NCI-designated center during the COVID-19 pandemic and (2) investigate cancer-related care and screening delays among those with adequate and limited health literacy. A cross-sectional survey was administered from an NCI-designated Cancer Center with a rural catchment area during November 2020 through March 2021. A total of 1,533 participants completed the survey, and nearly 19 percent of participants were categorized as having limited health literacy. Twenty percent of those with a cancer diagnosis reported a delay in cancer-related care; and 23–30% of the sample reported a delay in cancer screening. In general, the proportions of delays among those with adequate and limited health literacy were similar with the exception of colorectal cancer screening. There was also a notable difference in the ability to re-engage in cervical cancer screening among those with adequate and limited health literacy. Thus, there is a role for those engaged in cancer-related education and outreach to offer additional navigation resources for those at risk to cancer-related care and screening disruptions. Future study is warranted to investigate the role of health literacy on cancer care engagement.

BackgroundUsing long-term survival data from the C9343 trial as a temporal reference point, this study aimed to determine radiation therapy (RT) treatment trends for older patients with early-stage breast cancer. The study also examined rates of adherence to adjuvant endocrine therapy (AET).MethodsThe surveillance, epidemiology, and end results–medicare database was used to identify women with a diagnosis of breast cancer from 2007 through 2016. Bivariate associations were calculated to determine variable characteristics by time frame (group 1: 2007–2012 vs. group 2: 2013–2016). Multivariate logistic regression was used to estimate the effect of group on the RT use and AET adherence. The temporal rates for both RT and AET adherence over time were plotted.ResultsThe final study cohort included 12,210 Medicare beneficiaries. Use of RT differed significantly between the groups, with a higher proportion omitting RT in the later period (25% of group 2 vs. 20% of group 1; p < 0.001). In both groups, after adjustment for covariates, the patients with RT omitted were statistically less likely to adhere to AET [group 1: odds ratio (OR), 0.74; p < 0.001 vs. group 2: OR, 0.66; p < 0.001].ConclusionThis study, 15 years after publication of the of the C9343 trial results, showed minimal change in practice, with most older women receiving RT. Importantly, AET adherence was significantly lower in the non-RT group. For women who meet the criteria to have adjuvant RT omitted, nonadherence to AET could result in undertreatment of their breast cancer, and RT should not be considered overtreatment.