Home respiratory strategies in COPD patients with chronic hypercapnic respiratory failure: a systematic review and network meta-analysis.

Background: Home non-invasive positive pressure ventilation (NPPV) may improve chronic hypercarbia in COPD and patient important outcomes. The efficacy of home high flow nasal cannula (HFNC) as an alternative is unclear.Methods: We searched MEDLINE, EMBASE, Cochrane CENTRAL, SCOPUS, and Clinicaltrials.gov for randomized trials of patients from inception to March 31st and updated the search on July 14, 2023. We performed a frequentist network meta-analysis and assessed the certainty of the evidence using the GRADE approach. We analyzed randomized trials (RCTs) comparing NPPV, HFNC, or standard care in adult COPD patients with chronic hypercapnic respiratory failure. Outcomes included mortality, COPD exacerbations, hospitalizations, and quality of life (SGRQ).Results: We analyzed twenty-four RCTs (1850 patients). We found that NPPV may reduce death risk compared to standard care (relative risk [RR] 0.82 [95% CI 0.66 to 1.00]) and probably reduces acute exacerbations (RR 0.71 [95% CI 0.58 to 0.87]). HFNC probably reduces acute exacerbations compared to standard care (RR 0.77 [0.68 to 0.88]) but its effect on mortality is uncertain (RR 1.20 [95% CI 0.63 to 2.28]). HFNC probably improves SGRQ scores (mean difference [MD] -7.01 [95% CI -12.27 to -1.77]) and may reduce hospitalizations (RR 0.87 [0.69 to 1.09]) compared to standard care. No significant difference was observed between HFNC and NPPV in reducing exacerbations.Conclusion: Both NPPV and HFNC reduce exacerbation risks in COPD patients compared to standard care. HFNC may offer advantages in improving quality of life.

One-week radiology boot camp for pre-clerkship medical students: A novel format improving image interpretation and confidence.

RATIONALE AND OBJECTIVES: To measure change in radiology knowledge, confidence in radiology skills, and perceptions pertaining to radiology following a one-week boot camp elective for undergraduate medical students. MATERIALS AND METHODS: A five-day comprehensive radiology boot camp was developed including sessions on image interpretation, procedural skills, and appropriate image ordering. A multiple-choice quiz was administered before and after the elective, utilizing radiology questions from the validated AMSER STARS database. Additionally, a pre- and post-elective survey was administered assessing radiology career interest, confidence in radiology-based skills, and the potential ability of radiology-based skills to increase confidence in specialties other than radiology. Responses from the assessments were analysed using paired t-tests. RESULTS: 15 students enrolled in the course and 14 completed all assessments. The average score on the quiz increased from 50.1% to 66.0% (p<0.001). On the post-elective survey, the average student confidence score increased by more than one point on a six-point Likert scale in each of radiographic interpretation (p=0.004), ultrasound interpretation (p=0.0002), CT/MRI interpretation (p=0.02), general radiology knowledge including procedural skills (p=0.0001), and appropriate image ordering (p=0.004). Average student satisfaction with the elective was 8.1 out of 10. CONCLUSION: A one-week radiology boot camp for pre-clerkship medical students improved radiology knowledge and confidence in radiology skills, showing potential for this format to meet the demand for increased radiology content in undergraduate training. Students indicated that confidence in radiology knowledge would increase confidence on non-radiology clerkship rotations, highlighting the importance of how a one-week radiology bootcamp can impact both future radiology and non-radiology clerkship experiences.

Examining the Threat of ChatGPT to the Validity of Short Answer Assessments in an Undergraduate Medical Program.

OBJECTIVES: ChatGPT is an artificial intelligence model that can interpret free-text prompts and return detailed, human-like responses across a wide domain of subjects. This study evaluated the extent of the threat posed by ChatGPT to the validity of short-answer assessment problems used to examine pre-clerkship medical students in our undergraduate medical education program. METHODS: Forty problems used in prior student assessments were retrieved and stratified by levels of Bloom's Taxonomy. Thirty of these problems were submitted to ChatGPT-3.5. For the remaining 10 problems, we retrieved past minimally passing student responses. Six tutors graded each of the 40 responses. Comparison of performance between student-generated and ChatGPT-generated answers aggregated as a whole and grouped by Bloom's levels of cognitive reasoning, was done using t-tests, ANOVA, Cronbach's alpha, and Cohen's d. Scores for ChatGPT-generated responses were also compared to historical class average performance. RESULTS: ChatGPT-generated responses received a mean score of 3.29 out of 5 (n = 30, 95% CI 2.93-3.65) compared to 2.38 for a group of students meeting minimum passing marks (n = 10, 95% CI 1.94-2.82), representing higher performance (P = .008, η2 = 0.169), but was outperformed by historical class average scores on the same 30 problems (mean 3.67, P = .018) when including all past responses regardless of student performance level. There was no statistically significant trend in performance across domains of Bloom's Taxonomy. CONCLUSION: While ChatGPT was able to pass short answer assessment problems spanning the pre-clerkship curriculum, it outperformed only underperforming students. We remark that tutors in several cases were convinced that ChatGPT-produced responses were produced by students. Risks to assessment validity include uncertainty in identifying struggling students and inability to intervene in a timely manner. The performance of ChatGPT on problems requiring increasing demands of cognitive reasoning warrants further research.

A scoping review of natural language processing of radiology reports in breast cancer.

Various natural language processing (NLP) algorithms have been applied in the literature to analyze radiology reports pertaining to the diagnosis and subsequent care of cancer patients. Applications of this technology include cohort selection for clinical trials, population of large-scale data registries, and quality improvement in radiology workflows including mammography screening. This scoping review is the first to examine such applications in the specific context of breast cancer. Out of 210 identified articles initially, 44 met our inclusion criteria for this review. Extracted data elements included both clinical and technical details of studies that developed or evaluated NLP algorithms applied to free-text radiology reports of breast cancer. Our review illustrates an emphasis on applications in diagnostic and screening processes over treatment or therapeutic applications and describes growth in deep learning and transfer learning approaches in recent years, although rule-based approaches continue to be useful. Furthermore, we observe increased efforts in code and software sharing but not with data sharing.

Validation of a Patient-Reported Outcome Measure for Moist Desquamation among Breast Radiotherapy Patients.

There has been an increasing interest in patient-reported outcome (PRO) measures in both the clinical and research settings to improve the quality of life among patients and to identify when clinical intervention may be needed. The primary purpose of this prospective study was to validate an acute breast skin toxicity PRO measure across a broad sample of patient body types undergoing radiation therapy. Between August 2018 and September 2019, 134 women undergoing adjuvant breast radiotherapy (RT) consented to completing serial PRO measures both during and post-RT treatment and to having their skin assessed by trained trial radiation therapists. There was high patient compliance, with 124 patients (92.5%) returning to the clinic post-RT for at least one staff skin assessment. Rates of moist desquamation (MD) in the infra-mammary fold (IMF) by PRO were compared with skin assessments completed by trial radiation therapists. There was high sensitivity (86.5%) and good specificity (79.4%) between PRO and staff-reported presence of MD in the IMF, and there was a moderate correlation between the peak severity of the MD reported by PRO and assessed by staff (rho = 0.61, p < 0.001). This prospective study validates a new PRO measure to monitor the presence of MD in the IMF among women receiving breast RT.

A novel carbon-fibre adjustable reusable accessory (CARA) for supine breast positioning to reduce toxicity in breast adjuvant radiotherapy: a study protocol for a multicentre phase III randomized controlled trial.

BACKGROUND: A novel device for supine positioning in breast radiotherapy for patients with large or pendulous breasts has been developed and tested in phase II studies. This trial is designed to assess the efficacy of the device to reduce skin toxicity and unwanted normal tissue dose in comparison to the current clinical standard for supine breast support during breast radiotherapy. METHODS: Patients at high risk for moist desquamation, having infra-mammary fold or lateral ptosis, will be randomized into two arms. Patients in the control arm will receive breast radiotherapy with supine positioning using current standard of care. Patients in the experimental arm will be positioned supine with the novel device. The primary endpoint is the incidence of moist desquamation in the infra-mammary fold. We hypothesize a 20% reduction (from 50 to 30%) in the rate of moist desquamation in the study arm versus the control arm. For 80% power, two-tailed α = 0.05 and 10% loss to follow up, 110 patients will be assigned to each arm. The proportion of patients experiencing moist desquamation in the two arms will be compared using logistic regression adjusting for brassiere cup size, skin fold size, body mass index, smoking status, and dose fractionation schedule. An unadjusted comparison will also be made using the chi-square test, or Fisher's exact test, if appropriate. Secondary endpoints include dose-volume statistics for the lung and heart, skin dose and clinical parameters including setup time, reproducibility, and staff experience with setup procedures. Patient-reported pain, skin condition interference with sleep and daily activities, and comfort during treatment are also secondary endpoints. DISCUSSION: Based on results from earlier phase II studies, it is expected that the device-enabled elimination of infra-mammary fold should reduce toxicity and improve quality of life for this patient population. Earlier studies showed reduction in dose to organs at risk including lung and heart, indicating potential for other long-term benefits for patients using the device. This study is limited to acute skin toxicity, patient-reported outcomes, and clinical factors to inform integration of the device into standard breast radiotherapy procedures. TRIAL REGISTRATION: Clinicaltrials.gov identifier: NCT04257396 . Registered February 6 2020.

A realistic phantom for validating MRI-based synthetic CT images of the human skull.

PURPOSE: To introduce a new realistic human skull phantom for the validation of synthetic CT images of cortical bone from ultra-short echo-time (UTE) sequences. METHODS: A human skull of an adult female was utilized as a realistic representation of skull cortical bone. The skull was stabilized in a special acrylic container and was filled with contrast agents that have T1 and T2 relaxation times similar to human brain. The phantom was MR scanned at 3T with UTE and T2 -weighted sequences, followed by CT. A clustering approach was developed to extract the cortical bone signal from MR images. T2∗ maps of the skull were calculated. Synthetic CT images of the bone were compared to cortical bone signal extracted from CT images and confounding factors, such as registration errors, were analyzed. RESULTS: Dice similarity coefficient (DSC) of UTE-detected cortical bone was 0.84 and gradually decreased with decreasing number of spokes. DSC did not significantly depend on echo-time. Registration errors were found to be significant confounding factors, with 25% decrease in DSC for consistent 2 mm error at each axis. CONCLUSION: This work introduced a new realistic human skull phantom, specifically for the evaluation and analysis of synthetic CT images of cortical bone.