Implementation and Evaluation of a Pilot Narrative Medicine Curriculum for Internal Medicine Residents.

Background Narrative medicine has been integrated into medical training to enhance competencies such as observation, reflection, and self-care. However, few studies have assessed the impact of a single narrative medicine session using a pre- and post-test study design. The authors of this study sought to implement a pilot narrative medicine curriculum into a large internal medicine residency program and to evaluate its feasibility and impact. Methodology The curriculum consisted of a one-hour reading and writing workshop held during ambulatory academic half-days from 2021 to 2022. Resident participants completed a retrospective pre- and post-workshop survey evaluating their interest and confidence in practicing narrative medicine skills, as well as their beliefs about the impacts of narrative medicine on patient care and provider well-being. Descriptive statistics evaluated pre- and post-workshop differences using the Wilcoxon signed-rank test. Subgroup analyses were conducted based on postgraduate year, residency track, and workshop setting. Additionally, participants completed open-ended questions that were analyzed qualitatively. Results Of 218 resident participants, 152 (69.7%) completed the post-session survey. Participants noted significantly higher levels of confidence and interest in listening to patient stories, analyzing literary texts, and engaging in reflective writing after the workshop. They also expressed significantly higher levels of agreement that engaging in literary analysis and reflective writing could improve patient care, reduce provider burnout, and strengthen connectedness with colleagues. Qualitative analysis demonstrated that participants found the sessions to be worthwhile and appreciated how narrative medicine could enhance their medical practice. Conclusions Incorporating a brief narrative medicine curriculum into an internal medicine residency program is both feasible and valuable. A single narrative medicine session was practical and well-received by residents, as it promoted self-reflection, observational skills, and connection with colleagues. Future workshops should be customized for different training levels and residency tracks, and additional studies should evaluate whether the outcomes persist over time.

Radiologic Features of Well-circumscribed Orbital Tumors With Histopathologic Correlation: A Multi-center Study.

PURPOSE: To delineate specific imaging characteristics of solitary fibrous tumors, schwannomas, cavernous venous malformations, and well-circumscribed orbital lymphoma. METHODS: Patients undergoing excisional biopsy of solitary fibrous tumor, schwannomas, cavernous venous malformations, or well-circumscribed orbital lymphoma with preoperative MRIs available for review were identified at 3 academic centers in the United States and Australia. An exploratory statistical analysis was performed to identify important radiologic features, which were subsequently included in a random forest model. Histopathologic correlates were evaluated in representative cases. RESULTS: A total of 91 cases were included with a mean age of 52.9 ± 17.2 years. Nearly all solitary fibrous tumors were located in the anterior or mid orbit (87.5%) and they more commonly demonstrated intralesional heterogeneity on T2-weighted imaging (45.5%) ( p < 0.01). Compared with the other tumors, schwannomas tended to be intraconal (66.7%) and were often in the mid or posterior orbit (83.4%) ( p < 0.01). Cavernous venous malformations characteristically demonstrated progressive contrast enhancement (93.9%; p < 0.01). Most lesions in all 4 groups were hypointense on T1-weighted imaging (80%-100%; p = 0.14) and only well-circumscribed orbital lymphoma tended to also be hypointense on T2 (81.8%) ( p < 0.01). Finally, cases of lymphoma had significantly lower apparent diffusion coefficient ratios (0.9 ± 0.2) ( p < 0.001), while the other 3 groups were not significantly different from one another (cavernous venous malformations: 1.8 ± 0.4; schwannomas: 1.8 ± 0.5; and solitary fibrous tumor: 1.6 ± 0.6) ( p = 0.739). CONCLUSIONS: Key features that aid in the differentiation of these 4 tumors from one another include T2 intensity and homogeneity, early contrast-enhancement pattern, and ADC ratio.

Orbital Liposarcoma: A Surveillance, Epidemiology and End Results Database Study.

PURPOSE: Orbital liposarcoma is a challenging tumor to treat due to its rarity and high rate of local recurrence, and the role of radiotherapy and chemotherapy remain unclear. Analysis of big data may improve our overall understanding of orbital disease and role of adjuvant therapies. METHODS: Data were extracted from the Surveillance, Epidemiology and End Results (SEER) Research Plus database from 1975 to 2017. All patients with a diagnosis of liposarcoma (ICD-O3 codes 8850-8858, 8869-8862, 8870, 8880, 8881) were included. Cases were divided into 4 groups by primary site: orbit, retroperitoneum, soft tissue, and other. RESULTS: A total of 16,958 patients were included. Patients with orbital involvement were younger and more likely to be female ( p < 0.05). Among orbital lesions, myxoid liposarcoma was the most common histologic subtype (6/19; 31.6%) followed by well differentiated (5/19; 26.3%). This differed from the distribution of histologic subtypes encountered elsewhere, for which well-differentiated liposarcoma was the most common (retroperitoneum 979/3,136; 31%, soft tissue 3,493/11,671; 30%, and other sites 497/2,132; 23%, p < 0.05). Dedifferentiated histologic subtype was the second most common subtype found in the retroperitoneum (946/3,136; 30%), whereas it was less common in the orbit (2/19; 11%) and soft tissue (1,396/11,671; 12%) ( p < 0.001). Patients with orbital liposarcoma had similar disease-specific mortality compared with soft-tissue location ( p = 0.825) and lower disease-specific mortality compared with retroperitoneal location ( p < 0.001). When all locations were combined, patients with well-differentiated liposarcoma had the lowest disease-specific mortality. CONCLUSIONS: Patients with orbital liposarcoma tend to be younger, female, and have a better prognosis than those with retroperitoneal disease, likely due to the lower incidence of dedifferentiated histologic subtype.

Estimating apparent age using artificial intelligence: Quantifying the effect of blepharoplasty.

OBJECTIVES: Quantify the rejuvenation effect of blepharoplasty. METHODS: A dataset of facial photographs was assembled and randomly split into 90% training and 10% validation sets. An artificial intelligence model was trained to input a facial photograph and output the apparent age of the depicted face. A retrospective chart review of patients who underwent blepharoplasty was used to assemble a test set-preoperative and postoperative photographs were culled and subsequently analyzed by the model. RESULTS: A total of 47394 images of patients aged 26-89 years old were used for model training and validation. On the validation set, the model achieved 75% accuracy with a mean absolute error of 1.38 years and Pearson's r of 0.92. A total of 103 patients (29 males and 74 females) met the test set inclusion criteria (upper blepharoplasty n = 28, lower blepharoplasty n = 33, and quadrilateral blepharoplasty n = 42). The test set age ranged from 30.3 to 83.8 years old (mean 60.8, standard deviation 11.4). Overall, the model-predicted test set patients to be 0.74 years younger preoperatively versus 2.52 years younger postoperatively (p < 0.01). Significant underestimation of age was observed in women who underwent lower blepharoplasty (n = 23, 1.28 years older preoperatively vs. 2.32 years younger postoperatively, p = 3.8 × 10-4) and men who underwent quadrilateral blepharoplasty (n = 10, 0.71 years younger preoperatively vs. 5.34 years younger postoperatively, p = 0.02). CONCLUSIONS: The deep learning algorithm developed in this study demonstrates that, on average, blepharoplasty provides a rejuvenating effect of approximately 2 years.

The Effect of Lighting and Photograph Exposure on Perceived Attractiveness.

PURPOSE: To assess the effect of various lighting conditions and photograph exposures on perceived attractiveness. METHODS: In the first experiment, 5 variably exposed photographs were taken of 10 subjects using a consistent lighting condition (45° superior box light). In the second experiment, 10 subjects were photographed under variable lighting conditions with consistent exposure: 1) 90° overhead box light, 2) ring light, 3) 45° superior box light, 4) built-in camera flash, 5) 2 straight on box lights, each 45° from midline, and 6) natural light. Participants were instructed to maintain a neutral expression, were placed in front of a standardized blue-gray background, and were photographed during a single session. Photographs were imported into an online survey platform (Qualtrics 2020) and displayed in random order. Volunteer survey respondents were instructed to rate the subject's attractiveness on a scale of 0 to 10. Between the two experiments, a total of 22,000 scored photographs were included in the analysis. Mixed ANOVA and pairwise comparisons with Bonferroni correction were used to compare between- and within-subject ratings. RESULTS: Lighting condition had a significant impact on perceived attractiveness ( p < 0.001), with the 90° overhead box light achieving lower scores and the 45° superior box light yielding greater scores of attractiveness relative to the other conditions. Photograph exposure did not have a significant impact on subjective attractiveness ( p = 1.000). CONCLUSIONS: Our findings suggest that perceived attractiveness is enhanced when a 45° superior box light is used for illumination, and attractiveness is reduced when 90° overhead exposure is utilized. Exposure did not play a prominent role in perceived attractiveness.

Mapping Unobserved Item-Respondent Interactions: A Latent Space Item Response Model with Interaction Map.

Classic item response models assume that all items with the same difficulty have the same response probability among all respondents with the same ability. These assumptions, however, may very well be violated in practice, and it is not straightforward to assess whether these assumptions are violated, because neither the abilities of respondents nor the difficulties of items are observed. An example is an educational assessment where unobserved heterogeneity is present, arising from unobserved variables such as cultural background and upbringing of students, the quality of mentorship and other forms of emotional and professional support received by students, and other unobserved variables that may affect response probabilities. To address such violations of assumptions, we introduce a novel latent space model which assumes that both items and respondents are embedded in an unobserved metric space, with the probability of a correct response decreasing as a function of the distance between the respondent's and the item's position in the latent space. The resulting latent space approach provides an interaction map that represents interactions of respondents and items, and helps derive insightful diagnostic information on items as well as respondents. In practice, such interaction maps enable teachers to detect students from underrepresented groups who need more support than other students. We provide empirical evidence to demonstrate the usefulness of the proposed latent space approach, along with simulation results.