A5024542231- Advanced Radiotherapy Techniques
- Hepatocellular Carcinoma Treatment and Prognosis
- Endometrial and Cervical Cancer Treatments
- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- Management of metastatic bone disease
- Advances in Oncology and Radiotherapy
- Global Cancer Incidence and Screening
- Palliative Care and End-of-Life Issues
- Artificial Intelligence in Healthcare and Education
- Economic and Financial Impacts of Cancer
- Acute Myeloid Leukemia Research
- Head and Neck Cancer Studies
- Health Systems, Economic Evaluations, Quality of Life
- Pancreatic and Hepatic Oncology Research
- Colorectal Cancer Surgical Treatments
- Glioma Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
- Gastric Cancer Management and Outcomes
- Radiation Dose and Imaging
- Hematopoietic Stem Cell Transplantation
- Colorectal and Anal Carcinomas
- Pharmaceutical Practices and Patient Outcomes
- Brain Metastases and Treatment
- Monoclonal and Polyclonal Antibodies Research
Duke Medical Center
2015-2024
Duke University
2017-2024
Duke University Hospital
2023
HonorHealth
2023
Duke Cancer Institute
2022
Durham VA Health Care System
2021
Kaweah Delta Health Care District
2021
University of Toledo Medical Center
1996
St. Jude Children's Research Hospital
1996
Smiths Detection (Canada)
1988
Patients undergoing outpatient radiotherapy (RT) or chemoradiation (CRT) frequently require acute care (emergency department evaluation hospitalization). Machine learning (ML) may guide interventions to reduce this risk. There are limited prospective studies investigating the clinical impact of ML in health care. The objective study was determine whether can identify high-risk patients and direct mandatory twice-weekly visits during treatment.During single-institution randomized quality...
Metastatic lung cancer has long been considered incurable, with the goal of treatment being palliation. However, a clinically meaningful number these patients limited metastases (approximately 25%) are living term after definitive to all sites active disease. These so-called oligometastatic disease likely represent distinct clinical group who may possess more indolent biology compared their widely metastatic counterparts. Hellman and Weichselbaum proposed existence state, on basis spectrum...
Machine learning (ML) may cost-effectively direct health care by identifying patients most likely to benefit from preventative interventions avoid negative and expensive outcomes. System for High-Intensity Evaluation During Radiation Therapy (SHIELD-RT; NCT04277650) was a single-institution, randomized controlled study in which electronic record-based ML accurately identified at high risk acute (emergency visit or hospitalization) during radiotherapy (RT) targeted them supplemental clinical...
AbstractThe cellular response to Nutlin-3, a small-molecule inhibitor of the p53 repressor MDM2, varies widely among human cancer-derived cell types. Whereas HCT116 colorectal carcinoma cells display sustained cycle arrest, BV173 leukemia undergo rapid apoptosis and other lines show an intermediate response. We found that expression target genes p21, 14-3-3σ microRNA miR-34a correlates tightly with fate choice adopted. All three were strongly induced in arresting cells, but silenced...
Abstract KRAS mutations drive resistance to targeted therapies, including EGFR inhibitors in colorectal cancer (CRC). Through genetic screens, we unexpectedly find that mutant HRAS , which is rarely found CRC, a stronger driver of than . This difference ascribed common codon bias leads much higher protein expression, and implies the inherent poor expression due rare codons must be surmounted during drug resistance. In agreement, demonstrate primary cetuximab dependent upon both mutational...
PurposeThe purpose of this study was to compare leukemia-free survival (LFS) and other clinical outcomes in patients with acute myelogenous leukemia who underwent a myeloablative allogeneic stem cell transplant without total body irradiation (TBI).Methods materialsAdult undergoing at Duke University Medical Center between 1995 2012 were included. The primary endpoint LFS. Secondary included overall (OS), nonrelapse mortality, the risk pulmonary toxicity. Kaplan-Meier estimates Cox...
Abstract Brain metastases (BM) are rare in patients with gynecologic (GYN) malignancies. We identified and analyzed all who completed a course of stereotactic radiosurgery (SRS) between 1/2015 12/2020 across two institutions. Demographic clinical parameters were collected. Intracranial progression (ICP) was defined as any concern on post-SRS imaging for recurrence determined by multidisciplinary consensus. Clinical parameter distributions compared GYN non-GYN utilizing chi-squared tests...
Local Tumor Control and Patient Outcome Using Stereotactic Body Radiation Therapy for Hepatocellular Carcinoma: iRECIST as a Potential Substitute Traditional CriteriaFederica Vernuccio1,2,3,4, Devon Godfrey5,6, Mathias Meyer1, Hannah V. Williamson7, Joseph K. Salama5,6, Donna Niedzwiecki7, Sarah Jo Stephens5, James Ronald1, Manisha Palta5,6 Daniele Marin1Audio Available | Share
528 Background: During the SARS-CoV-2 pandemic, routine screening mammography (SM) was stopped and diagnostic (DM) limited for several months across United States in order to reduce patient exposure redeploy medical personnel. We hypothesized that this delay would result patients presenting with later-stage disease following initial shutdown. Methods: Patients diagnosed invasive breast cancers from 2016-2020 were identified using Beth Israel Deaconess Medical Center Cancer Registry. Baseline...
Clinical artificial intelligence and machine learning (ML) face barriers related to implementation trust. There have been few prospective opportunities evaluate these concerns. System for High Intensity EvaLuation During Radiotherapy (NCT03775265) was a randomised controlled study demonstrating that ML accurately directed clinical evaluations reduce acute care during cancer radiotherapy. We characterised subsequent perceptions implementation.An anonymous 7-question Likert-type scale survey...
Address correspondence to Bruce Hawkins (standards@ashp.org). Pharmacists have the knowledge and expertise needed develop organize comprehensive programs that monitor, report, evaluate adverse drug reactions (ADRs) in health systems. ADR monitoring reporting (hereinafter, “ADR programs”) encourage surveillance, facilitate documentation, promote reporting, provide mechanisms for safety of use, stimulate education healthcare professionals. The purpose this document is updated guidance...
Artificial intelligence (AI) and machine learning (ML) have resulted in significant enthusiasm for their promise healthcare. Despite this, prospective randomized controlled trials successful clinical implementation remain limited. One application of ML is mitigation the increased risk acute care during outpatient cancer therapy. We previously reported results System High Intensity EvaLuation During Radiation Therapy (SHIELD-RT) study (NCT04277650), which was a prospective, quality...
Abstract Purpose California Senate Bill (SB) 1254 (effective January 1, 2019) requires pharmacy staff at acute hospitals with more than 100 beds to obtain a medication profile for high-risk patients upon hospital admission. This multicenter study sought evaluate the statewide impact of SB by capturing errors intercepted and harm prevented as result passage bill. Methods was multicenter, prospective, observational conducted 11 in 6 consecutive weeks between 2020 March 2020. Participating...
Abstract Purpose This retrospective analysis was completed to investigate the use of a model‐based dose calculation algorithm (MBDCA) AcurosBV, for in HDR BT treatments locally advanced cervical cancer treated with tandem and ovoid applicators interstitial needles. Methods A cohort 32 patients receiving post‐EBRT brachytherapy boost prescription 5.5 Gy × 5 fractions high‐risk clinical target volume (CTV HR ) were selected this study. For standard TG43 calculation, manually digitized on...
Artificial intelligence (AI) based treatment planning tools are being implemented in clinic. However, human interactions with such AI rarely analyzed. This study aims to comprehend planner's interaction the tool and incorporate analysis improve existing tool.
To design, manufacture, and validate a female pelvic phantom for multi-modality imaging (CT, MRI, US) to benchmark commercial needle tracking system with application in HDR gynecological (GYN) interstitial procedures.A GYN needle-tracking was designed using CAD software model an average uterus from previous patient study, vaginal canal speculum dimensions, rectum accommodate transrectal ultrasound (TRUS) probe. A target volume (CTVHR ) as extension the cervix-uterus complex. Negative space...