Mechanistic insights into water-stabilized dye-neurotransmitter intermolecular complexes in zeolite channels.

Dye-zeolite nanomaterials are promising candidates for neurotransmitter detection, however, their sensing mechanism has remained speculative. Using molecular dynamics (AIMD) simulations, we demonstrate that water molecules play a critical role in stabilizing complexes formed between the dicationic dye and cationic neurotransmitters within the zeolite framework. This interaction exhibits binding motifs akin to those in protein-ligand complexes rather than conventional host-guest systems.

Transitional Cell Carcinoma Arising From the Renal Allograft: A Case Series and Review of the Literature.

Transitional cell carcinoma (TCC) of the urinary tract appears more commonly among the transplant population. The increased incidence of TCC has been primarily associated with the male gender, BK virus (BKV), and smoking. We report a case series and comprehensive review of the literature.

Active Monitoring With or Without Endocrine Therapy for Low-Risk Ductal Carcinoma In Situ: The COMET Randomized Clinical Trial.

Importance: Active monitoring for low-risk ductal carcinoma in situ (DCIS) of the breast has been proposed as an alternative to guideline-concordant care, but the safety of this approach is unknown.

Objective: To compare rates of invasive cancer in patients with low-risk DCIS receiving active monitoring vs guideline-concordant care.

Design, Setting, And Participants: Prospective, randomized noninferiority trial enrolling 995 women aged 40 years or older with a new diagnosis of hormone receptor-positive grade 1 or grade 2 DCIS without invasive cancer at 100 US Alliance Cancer Cooperative Group clinical trial sites from 2017 to 2023.

Tips and Tricks for Image-Guided Breast Biopsies: Technical Factors for Success.

Image-guided biopsy is an integral step in the diagnosis and management of suspicious image-detected breast or axillary lesions, allowing for accurate diagnosis and, if indicated, treatment planning. Tissue sampling can be performed under guidance of a full spectrum of breast imaging modalities, including stereotactic, tomosynthesis, sonographic, and MRI, each with its own set of advantages and limitations. Procedural planning, which includes consideration of technical, patient, and lesion factors, is vital for diagnostic accuracy and limitation of complications.

Large Language Model Use in Radiology Residency Applications: Unwelcomed but Inevitable.

Objective: This study explores radiology program directors' perspectives on the impact of large language model (LLM) use among residency applicants to craft personal statements.

Methods: Eight program directors from the Radiology Residency Education Research Alliance participated in a mixed-methods study, which included a survey regarding impressions of artificial intelligence (AI)-generated personal statements and focus group discussions (July 2023). Each director reviewed four personal statement variations for five applicants, anonymized to author type: the original and three Chat Generative Pre-trained Transformer-4.

Status of LGBTQ+ Inclusion Using a Multi-Institution Assessment of US Radiology Residencies.

Introduction: An inclusive residency program is crucial to the recruitment and retention of competitive and diverse applicants. The radiology lesbian, gay, bisexual, transgender, queer or questioning, or another diverse gender identity (LGBTQ+) inclusion audit was published in 2022, which provided a road map for assessing the inclusivity of a program's policies, facilities, culture, and engagement. In this multi-institutional trial, we detail the results of the LGBTQ+ inclusion audit for nine US radiology residency programs.

Survey on Current Utilization and Perception of Synthesized Mammography.

Objective: To assess utilization and perceptions of 2D synthesized mammography (SM) for digital breast tomosynthesis (DBT) among practicing U.S. breast radiologists.

Improving Computer-aided Detection for Digital Breast Tomosynthesis by Incorporating Temporal Change.

Purpose To develop a deep learning algorithm that uses temporal information to improve the performance of a previously published framework of cancer lesion detection for digital breast tomosynthesis. Materials and Methods This retrospective study analyzed the current and the 1-year-prior Hologic digital breast tomosynthesis screening examinations from eight different institutions between 2016 and 2020. The dataset contained 973 cancer and 7123 noncancer cases.

Pillar[n]arene-Based Fluorescence Turn-On Chemosensors for the Detection of Spermine, Spermidine, and Cadaverine in Saline Media and Biofluids.

Polyamines are essential analytes due to their critical role in various biological processes and human health in general. Due to their role as regulators for cell growth and proliferation (putrescine and spermine), as neuroprotectors, gero-, and cardiovascular protectors (spermidine), and as bacterial growth indicators (cadaverine), rapid, simple, and cost-effective methods for polyamine detection in biofluids are in demand. The present study focuses on the development and investigation of self-assembled and fluorescent host⋅dye chemo-sensors based on sulfonated pillar[5]arene for the specific detection of polyamines.

Adjectives in the Summary Paragraph of the MSPE: Are They Telling Us Something?

Rationale And Objectives: Many US medical schools do not provide a summative, comparative assessment of students (class rank), instead utilizing descriptive adjectives in the summary paragraph of the Medical Student Performance Evaluation (MSPE). The objective of this study was to determine whether those adjectives correlate with student performance.

Materials And Methods: Applications from all US allopathic medical schools received by a single diagnostic radiology program in the 2023-24 cycle were reviewed.

Radiology for Ductal Carcinoma In Situ of the Breast: Updates on Invasive Cancer Progression and Active Monitoring.

Ductal carcinoma in situ (DCIS) accounts for approximately 30% of new breast cancer diagnoses. However, our understanding of how normal breast tissue evolves into DCIS and invasive cancers remains insufficient. Further, conclusions regarding the mechanisms of disease progression in terms of histopathology, genetics, and radiology are often conflicting and have implications for treatment planning.

Patient Characteristics Impact Performance of AI Algorithm in Interpreting Negative Screening Digital Breast Tomosynthesis Studies.

Background Artificial intelligence (AI) is increasingly used to manage radiologists' workloads. The impact of patient characteristics on AI performance has not been well studied. Purpose To understand the impact of patient characteristics (race and ethnicity, age, and breast density) on the performance of an AI algorithm interpreting negative screening digital breast tomosynthesis (DBT) examinations.

Women in leadership matters: Achieving diversity in radiology residency recruitment.

Rationale And Objectives: To assess whether academic radiology departments and residency programs with efforts toward supporting and augmenting Diversity, Equity, and Inclusion (DEI) are associated with a higher proportion of residents from diverse backgrounds.

Materials And Methods: Program Directors within the Radiology Residency Education Research Alliance were surveyed to gather information about program characteristics, incorporation of diversity in resident recruitment, the sponsoring department's commitment to efforts at expanding diversity, and a summary of their current and past residents, staff and faculty members (academic years 2020 and 2023) with respect to a list of diversity characteristics.

Results: Survey response rate was 51 %.

Screening the Implant-Augmented Breast with Digital Breast Tomosynthesis: Is Tomosynthesis Necessary for Non-implant-Displaced Views?

Objective: To determine cancer visualization utility and radiation dose for non-implant-displaced (ID) views using standard protocol with digital breast tomosynthesis (DBT) vs alternative protocol with 2D only when screening women with implant augmentation.

Methods: This retrospective cohort study identified women with implants who underwent screening DBT examinations that had abnormal findings from July 28, 2014, to December 31, 2021. Three fellowship-trained breast radiologists independently reviewed examinations retrospectively to determine if the initially identified abnormalities could be visualized on standard protocol (DBT with synthesized 2D (S2D) for ID and non-ID views) and alternate protocol (DBT with S2D for ID and only the S2D images for non-ID views).

Otolaryngology residency program factors associated with female resident representation.

Objective: Female representation in the field of otolaryngology is lacking. Residency is the first point at which medical school graduates specialize in a chosen field and thus represents an opportunity to recruit and train more female otolaryngologists. This study sought to identify program factors associated with greater female representation among resident physicians.

A publicly available deep learning model and dataset for segmentation of breast, fibroglandular tissue, and vessels in breast MRI.

Breast density, or the amount of fibroglandular tissue (FGT) relative to the overall breast volume, increases the risk of developing breast cancer. Although previous studies have utilized deep learning to assess breast density, the limited public availability of data and quantitative tools hinders the development of better assessment tools. Our objective was to (1) create and share a large dataset of pixel-wise annotations according to well-defined criteria, and (2) develop, evaluate, and share an automated segmentation method for breast, FGT, and blood vessels using convolutional neural networks.