Khurana, Aditya

Abstract Background Neuropathologic evaluation is essential for diagnosing and treating dementia, but definitive diagnoses is only available after post‐mortem brain autopsy. Positron emission tomography (PET) offers a potential in vivo proxy for predicting neuropathology. This study proposes a semi‐supervised learning (SSL) model using a single FDG‐PET image to predict underlying neuropathology. Method The SSL model leverages a self‐organized graph structure based on a patient similarity network (PSN) created from 1,495 FDG‐PET images across the aging and neurodegenerative spectrum. Each patient is represented by a node, with edges indicating image similarity derived from principal component analysis features and cosine similarity weights. The PSN structure connects 20 nearest neighbors. Neuropathologic labels were available for 204 autopsied patients. The Poisson Learning Method was employed to propagate labels from these annotated nodes to unlabeled nodes, guided by the PSN structure. FDG‐PET images were collected from clinical and research participants at the Mayo Clinic and processed using an MRI‐free pipeline. Neuropathologic labels were assigned based on widely accepted diagnostic criteria. Leave‐one‐out cross‐validation (LOOCV) was used to assess model performance. Results The confusion matrix demonstrated high accuracy in predicting Alzheimer's disease, frontotemporal lobar degeneration with tau inclusions, and Lewy body disease pathology. A Sankey diagram and label distribution analysis revealed strong correlations between clinical and predicted neuropathologic labels. Conclusion This study highlights the potential of a graph‐based SSL pipeline to predict neuropathological changes using FDG‐PET imaging data, despite limited pathology labels. The findings underscore the value of SSL in bridging the gap between abundant neuroimaging data and scarce neuropathologic labels, contributing to improved dementia diagnosis and understanding.

Abstract Objective To compare the pathology outcomes of image-guided breast biopsies across a multistate health care enterprise by the method of detection (MOD), including the positive predictive value (PPV3) and histological types. Methods Biopsies from October 31, 2017, to July 6, 2023, across 18 imaging sites in 4 states were extracted. Radiologists prospectively assigned MODs, including symptomatic presentations (self-examination, clinical examination) and imaging modalities (mammogram, tomosynthesis, US, MRI, contrast-enhanced mammogram, molecular breast imaging, other imaging). For each MOD, the rates of malignancy and cancer subtypes were calculated. Univariate and multivariate logistic regression analyses were performed. Results In 26 932 biopsies on 22 582 patients (mean age 57.6 years ± 14.2 [SD]; 22 416 women), 6068 (81.1%) cancers were detected by screening, and 1144 (15.3%) were detected by symptoms. Symptomatic presentation MODs had a higher PPV3 (43.0% vs 25.6%; P < .001), larger cancer lesion sizes (x̄ = 27.5 mm vs x̄ = 17.8 mm; P < 001), and a higher association with invasive carcinoma (96.7% vs 76.8%; P <.001) compared with screening imaging-based MODs. Methods of detection with higher PPV3s also tended to have higher rates of invasive carcinoma (Spearman’s ρ = 0.83). Conclusion Compared with breast cancers detected after symptomatic presentations, those identified via image-based screening were smaller and less often invasive, confirming the value of screening in early detection. Positive predictive value and the rate of invasive carcinoma varied in parallel across MODs.

Abstract Background Percutaneous endoscopic gastrostomy (PEG) and percutaneous radiologic gastrostomy (PRG) are used for gastric drainage, decompression, and feeding. Recent innovations enable bumper and balloon‐type tube placement via transabdominal approach under guidance of fluoroscopy or sonography. Method This is a single‐center retrospective cohort study to evaluate the outcomes of balloon and bumper gastrostomy tube placement under guide of fluoroscopy and ultrasound. The total sample size was 470 consecutive patients. The eligibility criteria included all patients aged ≥18 years who underwent a balloon or bumper‐type gastrostomy tube insertion for nutrition support in both the interventional radiology unit and at the bedside between 2017 and 2022. Result This study revealed no significant differences between the two types of tubes in terms of time to tube replacement or requiring a gastrostomy tube. There was a positive correlation between the time that a patient has a gastrostomy tube and major complications ( P = 0.005) and a positive correlation between number of tubes replaced and minor complications ( P < 0.001). Both types of tubes were associated with low rates of complications. However, patients with a balloon tube were more likely to experience gastric‐tube–related hospitalization/ED visits and require a >24‐h hospital stay postoperation. Conclusion These findings can help healthcare providers make informed decisions when selecting the appropriate type of tube for their patients to have more durability with less complication.

Abstract Purpose The U.S. population is rapidly aging. The supply of surgeons needed to meet this demand should be evaluated. This study evaluated the trends in supply of Medicare surgeons by specialty and by U.S. state and region. Method All surgeons associated with a National Provider Identifier for cardiothoracic surgery, colorectal surgery, general surgery, gynecologic oncology, hand surgery, neurosurgery, obstetrics-gynecology, ophthalmology, oral and maxillofacial surgery, orthopedic surgery, otolaryngology, plastic and reconstructive surgery, surgical oncology, urology, and vascular surgery from 2013 to 2019 on the Centers for Medicare & Medicaid Services website were included. The absolute number of physicians was adjusted per 100,000 Medicare beneficiaries. Annual change was calculated by linear regression model, and the compound annual growth rate (CAGR) was calculated per specialty. Results The absolute number of physicians per 100,000 beneficiaries increased in 6 of 15 specialties during the study period. Vascular surgery had the largest annual increase (+0.23; CAGR, +2.75%), and obstetrics-gynecology had the largest annual decrease (−1.08; CAGR, −1.44%). Surgical oncology showed the largest positive CAGR (+4.20%). Oral and maxillofacial surgery had the largest negative CAGR (−2.86%). The Northeast was above the national average in supply for each specialty. The Midwest had the most specialties with positive CAGRs. The South did not meet the national average for physicians in any specialty. Conclusions This analysis of 15 surgical specialties provides important context to predicted physician shortages to the Medicare population. The study found geographic variation by region across specialty, which has important implications for health care planning from the level of undergraduate medical education to provision of hospital resources. Overall, the supply of surgeons across all specialties may not be sufficient to meet the demand of the rapidly aging U.S. population. Future study is needed to evaluate why surgeons are leaving the Medicare program.

Abstract Objectives The surge in patient portal messages (PPMs) with increasing needs and workloads for efficient PPM triage in healthcare settings has spurred the exploration of AI-driven solutions to streamline the healthcare workflow processes, ensuring timely responses to patients to satisfy their healthcare needs. However, there has been less focus on isolating and understanding patient primary concerns in PPMs—a practice which holds the potential to yield more nuanced insights and enhances the quality of healthcare delivery and patient-centered care. Materials and Methods We propose a fusion framework to leverage pretrained language models (LMs) with different language advantages via a Convolution Neural Network for precise identification of patient primary concerns via multi-class classification. We examined 3 traditional machine learning models, 9 BERT-based language models, 6 fusion models, and 2 ensemble models. Results The outcomes of our experimentation underscore the superior performance achieved by BERT-based models in comparison to traditional machine learning models. Remarkably, our fusion model emerges as the top-performing solution, delivering a notably improved accuracy score of 77.67 ± 2.74% and an F1 score of 74.37 ± 3.70% in macro-average. Discussion This study highlights the feasibility and effectiveness of multi-class classification for patient primary concern detection and the proposed fusion framework for enhancing primary concern detection. Conclusions The use of multi-class classification enhanced by a fusion of multiple pretrained LMs not only improves the accuracy and efficiency of patient primary concern identification in PPMs but also aids in managing the rising volume of PPMs in healthcare, ensuring critical patient communications are addressed promptly and accurately.

BACKGROUND: Medicare reimbursement rates have decreased across various specialties but have not yet been studied in colorectal surgery. OBJECTIVE: This study aimed to analyze Medicare reimbursement trends in colorectal surgery. DESIGN: Observational study. SETTING: The Centers for Medicare and Medicaid Services’ Physician Fee Schedule was evaluated for reimbursement data for the 20 most common colorectal surgery procedures from 2006 to 2020. MAIN OUTCOME MEASURES: Inflation-adjusted annual percentage change, compound annual growth rate, and total percentage change were the outcome measures. A subanalysis was performed comparing the changes in reimbursement between 2006 to 2016 and 2016 to 2020 because of legislative changes that went into effect in 2016. RESULTS: During the study period, the inflation-unadjusted mean Medicare reimbursement rate for the 20 most common colorectal surgery procedures increased by +15.6%. This rise was surpassed by the inflation rate of +31.3%. Consequently, the inflation-adjusted reimbursement rate decreased by –11%. The adjusted reimbursement rates decreased the most at –33.8% for a flexible colonoscopy with biopsy and increased the most at +45.3% for a diagnostic rigid proctosigmoidoscopy. Annual percentage change was –0.79%, and the compound annual growth rate was –0.98%. There was an accelerated decrease in annual reimbursement rates from 2016 to 2020 at –2.23% compared to 2006 to 2016 at –0.22% (p = 0.03). The only procedure that had an increase in adjusted reimbursement rate from 2016 to 2020 was the injection of sclerosing solution for hemorrhoids. LIMITATIONS: Only Medicare reimbursement data were analyzed. CONCLUSIONS: Medicare reimbursements for colorectal surgery procedures are decreasing at an accelerating rate. Although this study is limited to Medicare data, it still presents a representation of overall reimbursement changes because Medicare policies have a ripple effect in the commercial insurance market. It is vital to understand the financial trends to be able to structure future patient care teams and to advocate for the sustainability of colorectal surgery practices in the United States. See Video Abstract at http://links.lww.com/DCR/C136. REEMBOLSO DE MEDICARE EN CIRUGÍA COLORRECTAL: UN PROBLEMA CRECIENTE ANTECEDENTES: Las tasas de reembolso de Medicare han disminuido en varias especialidades, pero aún no han sido estudiado en cirugía colorrectal. OBJETIVO: Analizar las tendencias de reembolso de Medicare en cirugía colorrectal. DISEÑO: Estudio observacional. CONTEXTO: Se evaluó el programa de tarifas médicas de los Centros de Servicios de Medicare y Medicaid para obtener datos de reembolso de los 20 procedimientos más comunes en cirugía colorrectal entre los años 2006 y 2020. PRINCIPALES MEDIDAS DE RESULTADO: Variación porcentual anual ajustada por inflación, tasa de crecimiento anual compuesta y variación porcentual total. Se realizó un subanálisis comparando los cambios en el reembolso entre los años 2006 a 2016 y 2016 a 2020 debido a los cambios legislativos que entraron en vigencia en 2016. RESULTADOS: Durante el período de estudio, la tasa media de reembolso de Medicare sin ajuste por inflación para los 20 procedimientos más comunes en cirugía colorrectal aumentó en +15,6 %. Esta suba fue superada por la tasa de inflación del +31,3%. En consecuencia, la tasa de reembolso ajustada por inflación disminuyó un -11%. Lo máximo que disminuyeron las tasas ajustadas de reembolso fue a -33,8% para una colonoscopia flexible con biopsia y aumentaron más a +45,3% para una proctosigmoidoscopia rígida de diagnóstico. El cambio porcentual anual fue -0,79% y la tasa de crecimiento anual compuesto fue -0,98%. Hubo una disminución acelerada en las tasas de reembolso anual de 2016 a 2020 a -2,23 % en comparación con 2006 a 2016 a -0,22% (p = 0,03). El único procedimiento que tuvo un aumento en la tasa de reembolso ajustada de 2016 a 2020 fue la inyección de solución esclerosante para las hemorroides. LIMITACIONES: Solo se analizaron los datos de reembolso de Medicare. CONCLUSIONES: Los reembolsos de Medicare por procedimientos en cirugía colorrectal están disminuyendo a un ritmo acelerado. Aunque este estudio se limita a los datos de Medicare, aún presenta una representación de los cambios generales en los reembolsos, ya que las pólizas de Medicare tienen un efecto dominó en el mercado de seguros comerciales. Es fundamental comprender las tendencias financieras para poder estructurar futuros equipos de atención de pacientes y abogar por la sostenibilidad de las prácticas de cirugía colorrectal en los Estados Unidos. Consulte Video Resumen video en https://links.lww.com/DCR/C136. (Traducción—Dr. Osvaldo Gauto)