Publications by authors named "Benjamin May"

Objective: To explore implementing regular expressions (RegEx) to streamline patient identification and classification for matching to clinical trials.

Materials And Methods: To prepare approaches needed to match patients to relevant cancer clinical trials, we combined NCI's Clinical Trials Search API to extract high-level eligibility criteria, including cancer type, stage, receptor/biomarker status, with similar data of patients with appointments in the upcoming week. Using RegEx, we prospectively identified all patients with breast, liver, or lung cancers at treatment decision points at 2 Cancer Centers' and 2 community hospitals', classified their cancer type, stage, and receptor/biomarker status.

View Article and Find Full Text PDF

Purpose: In lung squamous cell carcinoma (LUSC), Black patients show significantly higher incidence and lower overall survival than White patients. Although socioeconomic factors likely contribute to this survival disparity, genomic factors have yet to be elucidated in LUSC.

Methods: Using 416 LUSC tumor samples in the Cancer Genome Atlas (TCGA), we assessed genomic and transcriptomic profiles by ancestry.

View Article and Find Full Text PDF

Background: Mentorship is the foundation for training and career development. However, only about half of interventional radiology (IR) residency programs in the United States have a formal mentorship program at their institution. A new tiered mentorship program was introduced at our institution.

View Article and Find Full Text PDF

Transarterial treatment of liver tumors is becoming increasingly common and is considered first- or second-line therapy for many tumor types and stages. Such therapies are heavily dependent on imaging during the procedures; while angiography remains the mainstay of intraprocedural therapies, cone beam computed tomography (CBCT) is becoming increasingly commonly used to guide therapy. This article describes the role of CBCT during transarterial therapies and offers guidance as to how CBCT can be optimally used for these procedures.

View Article and Find Full Text PDF

HELB is a human helicase involved in initiation of DNA replication, the replication stress response, and regulation of double-strand DNA break repair. rs75770066 is a rare SNP in the HELB gene that affects age at natural menopause. rs75770066 results in a D506G substitution in an acidic patch within the 1A domain of the helicase that is known to interact with RPA.

View Article and Find Full Text PDF

Coronavirus disease 2019 (COVID-19), the disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, has had extensive economic, social, and public health impacts in the United States and around the world. To date, there have been more than 600 million reported infections worldwide with more than 6 million reported deaths. Retrospective analysis, which identified comorbidities, risk factors, and treatments, has underpinned the response.

View Article and Find Full Text PDF

Rationale And Objectives: Given the immense time and energy radiologists dedicate to their profession, the experience at work should be a major contributor to a meaningful and fulfilling life. In pursuit of this vision, our department launched a novel faculty development workshop entitled "Thriving In and Out of the Reading Room: What They Didn't Teach Us in Training." We report on the design, implementation and initial outcomes of this faculty development workshop.

View Article and Find Full Text PDF
Article Synopsis
  • A new automated natural language processing (NLP) method was developed to extract detailed data on Barrett's Esophagus (BE) surveillance and treatment from electronic health records (EHR).
  • The study involved analyzing data from BE-related endoscopies between 2016 and 2020, where gastroenterologists labeled data and an NLP technique was used to generate accurate diagnosis and treatment information.
  • The results showed that the NLP method achieved high accuracy in labeling endoscopy events, making it effective for extracting valuable clinical data for research and assessing quality metrics.
View Article and Find Full Text PDF
Article Synopsis
  • Deep learning techniques, particularly convolutional neural networks (CNNs), may enhance breast cancer risk prediction when combined with clinical factors from the Breast Cancer Surveillance Consortium (BCSC) model.
  • A study of 23,467 women aged 35-74 analyzed mammograms and clinical data to assess whether adding CNN evaluations improved risk predictions over traditional methods.
  • Although the hybrid model didn't show a significant overall improvement, it performed better in predicting breast cancer risk for non-Hispanic Blacks and Hispanics, suggesting its potential benefits for diverse populations with further validation.
View Article and Find Full Text PDF

Purpose: Implementation of routine financial screening is a critical step toward mitigating financial toxicity. We evaluated the feasibility, sustainability, and acceptability of systematic financial screening in the outpatient breast oncology clinic at a large, urban cancer center.

Methods: We developed and implemented a stakeholder-informed process to systematically screen for financial hardship and worry.

View Article and Find Full Text PDF

Study Objective: To analyze hysterectomy trends and vaginal cuff dehiscence (VCD) rates by mode of surgery at a tertiary care medical center and to describe characteristics of VCD cases.

Design: Observational retrospective cohort study.

Setting: Large academic hospital and affiliated community hospital.

View Article and Find Full Text PDF

The high-dimensionality, complexity, and irregularity of electronic health records (EHR) data create significant challenges for both simplified and comprehensive health assessments, prohibiting an efficient extraction of actionable insights by clinicians. If we can provide human decision-makers with a simplified set of interpretable composite indices (i.e.

View Article and Find Full Text PDF

Background: Racial and ethnic minority groups experience a disproportionate burden of SARS-CoV-2 illness and studies suggest that cancer patients are at a particular risk for severe SARS-CoV-2 infection.

Aims: The objective of this study was examine the association between neighborhood characteristics and SARS-CoV-2 infection among patients with cancer.

Methods And Results: We performed a cross-sectional study of New York City residents receiving treatment for cancer at a tertiary cancer center.

View Article and Find Full Text PDF

Introduction: In 2009, the U.S. Preventive Services Task Force updated recommended mammography screening frequency from annual to biennial for average-risk women aged 50-74 years.

View Article and Find Full Text PDF

This study shows that only 12.5% of laboratory reports (2/16) included age-appropriate pediatric reference ranges for all lipid and lipoproteins. The use of erroneous reference range(s) could lead to missed alerts of dyslipidemia in up to 97.

View Article and Find Full Text PDF

The multi-modal and unstructured nature of observational data in Electronic Health Records (EHR) is currently a significant obstacle for the application of machine learning towards risk stratification. In this study, we develop a deep learning framework for incorporating longitudinal clinical data from EHR to infer risk for pancreatic cancer (PC). This framework includes a novel training protocol, which enforces an emphasis on early detection by applying an independent Poisson-random mask on proximal-time measurements for each variable.

View Article and Find Full Text PDF

Background And Aim: Humans with inborn errors of immunity (IEI), or primary immunodeficiencies, may be associated with a potential risk factor for early-onset gastrointestinal (GI) cancer.

Methods: We systematically reviewed all cases with clinical diagnoses of both an IEI and a GI cancer in three databases (MEDLINE, SCOPUS, and EMBASE). In total, 76 publications satisfying our inclusion criteria were identified, and data for 149 cases were analyzed.

View Article and Find Full Text PDF
Article Synopsis
  • Immunotherapy can cause pneumonitis with specific radiographic features, such as consolidation and pulmonary nodules, which differ from those caused by chemotherapy.
  • A study analyzed chest CT reports and found that patients on immunotherapy showed a decrease in certain lung abnormalities over time, while those on chemotherapy showed an increase.
  • The findings suggest that immune-related pneumonitis has a unique clinical progression, indicating a potential for continued immunotherapy in some patients after careful evaluation of risks and benefits.*
View Article and Find Full Text PDF

Background: Immunotherapy has become a critical class of anticancer therapy in recent years, functioning by releasing brakes on the immune system that ultimately results in immune cell activation which eliminates cancer cells. Immune related adverse events (IRAEs) are a specific type of adverse event described in patients taking checkpoint inhibitor immunotherapy which results from unrestrained immune activation. Immune related pericardial effusion has been described however has not been comprehensively characterized.

View Article and Find Full Text PDF

Objective: To compare radioembolization treatment zone volumes from mapping cone beam CT (CBCT) versus planning CT/MRI and to model their impact on dosimetry.

Methods: Y90 cases were retrospectively identified in which intra-procedural CBCT angiograms were performed. Segmental and lobar treatment zone volumes were calculated with semi-automated contouring using Couinaud venous anatomy (planning CT/MRI) or tumor angiosome enhancement (CBCT).

View Article and Find Full Text PDF

Candidemia caused by Candida spp. is a serious threat in hospital settings being a major cause of acquired infection and death and a possible contributor to Covid-19 mortality. Candidemia incidence has been rising worldwide following increases in fungicide-resistant pathogens highlighting the need for more effective antifungal agents with novel modes of action.

View Article and Find Full Text PDF

Background:  Heater-cooler devices (HCD) have been implicated in a cardiosurgical contamination scenario causing prosthetic valve endocarditis.

Aim:  We characterized contamination of new HCDs and assessed the risk of intraoperative microorganism transmission from the HCD to the operating field.

Methods:  We initially acquired four new FlexTherm and then four new Maquet HCU40 HCDs and assessed occurrence and speed of microbial contamination (including mycobacteria) assessing swab and water samples from the device.

View Article and Find Full Text PDF

Objective: The COVID-19 pandemic requires thinking about alternatives to establish ECMO when often-limited hardware resources are exhausted. Heart-lung-machines may potentially be used for ECMO but contain roller pumps as compared to centrifugal pumps in ECMO-circuits. We here tested roller pumps as rescue pump for ECMO-establishment.

View Article and Find Full Text PDF

A PHP Error was encountered

Severity: Warning

Message: fopen(/var/lib/php/sessions/ci_sessiondkknvq9spjpel5c7jlb4ut752bbqa5q5): Failed to open stream: No space left on device

Filename: drivers/Session_files_driver.php

Line Number: 177

Backtrace:

File: /var/www/html/index.php
Line: 316
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: session_start(): Failed to read session data: user (path: /var/lib/php/sessions)

Filename: Session/Session.php

Line Number: 137

Backtrace:

File: /var/www/html/index.php
Line: 316
Function: require_once