A5075759715- Head and Neck Cancer Studies
- Lung Cancer Diagnosis and Treatment
- Advanced Radiotherapy Techniques
- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Treatments and Mutations
- Dysphagia Assessment and Management
- Health Systems, Economic Evaluations, Quality of Life
- Frailty in Older Adults
- Multiple and Secondary Primary Cancers
- Artificial Intelligence in Healthcare and Education
- Oral health in cancer treatment
- Head and Neck Surgical Oncology
- Economic and Financial Impacts of Cancer
- Nutrition and Health in Aging
- Brain Metastases and Treatment
- AI in cancer detection
- Cancer Diagnosis and Treatment
- Lung Cancer Research Studies
- Gastric Cancer Management and Outcomes
- Radiation Therapy and Dosimetry
- Mobile Health and mHealth Applications
- Sarcoma Diagnosis and Treatment
- Prostate Cancer Diagnosis and Treatment
- Salivary Gland Disorders and Functions
- Medical Imaging and Analysis
University of Michigan
2022-2023
Washtenaw Community College
2022
Johns Hopkins University
2018-2021
Johns Hopkins Medicine
2018-2021
Sidney Kimmel Comprehensive Cancer Center
2018
Sun Yat-sen University
2014
To analyze baseline CT/MR-based image features of salivary glands to predict radiation-induced xerostomia 3-months after head-and-neck cancer (HNC) radiotherapy. A retrospective analysis was performed on 266 HNC patients who were treated using radiotherapy at our institution between 2009 and 2018. CT T1 post-contrast MR images along with NCI-CTCAE grade (3-month follow-up) prospectively collected institution. registered which parotid/submandibular contoured. Image extracted for...
Introduction Frailty and impaired cognitive functioning often co-occur in older adults are associated with adverse health outcomes. However, their relationship is unclear. This study sought to examine the association of frailty status adults. Method The population consisted 2,296 aged ≥60 from National Health Nutrition Examination Survey 2011–2014. was measured based on Fried Phenotype participants were categorized into three groups- robust, pre-frailty, frailty. Cognitive using Consortium...
We propose a multi-view data analysis approach using radiomics and dosiomics (R&D) texture features for predicting acute-phase weight loss (WL) in lung cancer radiotherapy. Baseline of 388 patients who underwent intensity modulated radiation therapy (IMRT) was measured between one month prior to week after the start IMRT. Weight change two months commencement IMRT analyzed, dichotomized at 5% WL. Each patient had planning CT contours gross tumor volume (GTV) esophagus (ESO). A total 355...
PurposePatients with head-and-neck cancer (HNC) may experience xerostomia after radiation therapy (RT), which leads to compromised quality of life. The purpose this study is explore how the spatial pattern dose (radiomorphology) in major salivary glands influences patients HNC.Methods and materialsA data-driven approach using spatially explicit dosimetric predictors, voxel (ie, actual voxels parotid [PG] submandibular [SMG]) was used predict whether would develop 3 months RT. Using planned...
BACKGROUND: Cancer therapy is associated with severe financial burden. However, the magnitude and longitudinal patient relationship toxicity (FT) in initial course of unclear. METHODS: Patients stage II-IV lung cancer were recruited a prospective study between July 2018 March 2020. FT was measured via validated COmprehensive Score for Toxicity (COST) at time diagnosis 6-month follow-up (6MFU). 6MFU data compared corresponding baseline data. A lower COST score indicates increased hardship....
Xerostomia is a common consequence of radiotherapy in head and neck cancer. The objective was to compare the regional radiation dose distribution patients that developed xerostomia within 6 months those recovered from 18 post-radiotherapy. We feature generation pipeline extract volume histogram features geometrically defined ipsilateral/contralateral parotid glands, submandibular oral cavity surrogates for each patient. Permutation tests with multiple comparisons were performed assess...
Background Metastasectomy is standard of care for pediatric patients with metastatic sarcoma limited disease. For unresectable disease, stereotactic body radiotherapy (SBRT) may serve as an alternative. Herein, the authors report results a prospective, multi‐institutional phase 2 trial SBRT in children and young adults sarcoma. Methods Patients aged >3 years ≤40 unresected, osseous nonrhabdomyosarcoma sarcomas soft tissue bone were eligible. received to dose 40 Gray (Gy) 5 fractions....
Radiation-induced xerostomia is one of the most prevalent symptoms during and after head neck cancer radiation therapy (RT). We aimed to discover spatial dose-based (voxel dose) importance pattern in major salivary glands relation recovery 18 months RT, compare voxel dose acute incidence (injury) pattern.This study included all patients within our database with outcomes completion curative intensity modulated RT. Common Terminology Criteria for Adverse Events grade was used define recovered...
Abstract Background Limited prior data suggest that preexisting liver disease is associated with adverse outcomes among patients coronavirus 2019 (COVID-19). Fibrosis-4 (FIB-4) a noninvasive index of readily available laboratory measurements represents hepatic fibrosis. We evaluated the association between FIB-4 at early stage infection and COVID-19 outcomes. Methods was admission in cohort 267 admitted early-stage confirmed through reverse-transcription polymerase chain reaction assay....
Background Progressive, metastatic non–small cell lung cancer (NSCLC) often requires the initiation of new systemic therapy. However, in patients with NSCLC that is oligoprogressive (≤3 lesions), local radiotherapy (RT) may allow for eradication resistant microclones and, therefore, continuation otherwise effective Methods Patients treated from 2008 to 2019 definitive doses RT all sites intracranial or extracranial oligoprogression without a change therapy were identified. Radiographic...
This study presents the outcomes of shared task competition BioCreative VII (Task 3) focusing on extraction medication names from a Twitter user's publicly available tweets (the 'timeline'). In general, detecting health-related is notoriously challenging for natural language processing tools. The main challenge, aside informality used, that people tweet about any and all topics, most their are not related to health. Thus, finding those in timeline mention specific concepts such as...
The capture of high-quality treatment data and outcomes is necessary in order to learn from our clinical experiences with big analytics. In radiotherapy, there are several practical challenges overcome. Practical aspects collection discussed pointing a need for culture change practice one that captures structured patient-related routine care prospective manner. Radiation dosimetry the contoured anatomy must also be captured routinely represent best estimate delivered radiation. quality...
Purpose In radiotherapy, it is necessary to characterize dose over the patient anatomy target areas and organs at risk. Current tools provide methods describe in terms of percentage volume magnitude dose, but are limited by assumptions anatomical homogeneity within a region interest (ROI) non-spatially aware description dose. A practice termed radio-morphology proposed as method apply knowledge parametrically derive new shapes substructures from normalized set anatomy, ensuring consistently...
Natural language processing (NLP) methods are powerful tools for extracting and analyzing critical information from free-text data. MedTaggerIE, an open-source NLP pipeline extraction based on text patterns, has been widely used in the annotation of clinical notes. A rule-based system, MedTagger-total hip arthroplasty (THA), developed was previously shown to correctly identify surgical approach, fixation, bearing surface THA operative notes at Mayo Clinic.
Women with or at high risk of diabetes have unique health concerns across their life course. Effective methods are needed to engage women living develop and carry out a patient-centered research agenda.This study aimed (1) describe the creation DiabetesSistersVoices, virtual patient community for (2) assess feasibility acceptability DiabetesSistersVoices engaging in talking about experiences, care, priorities.We partnered national advocacy organization create recruitment strategies, which...
Abstract Background Unplanned hospitalization during cancer treatment is costly, can disrupt treatment, and affect patient quality of life. However, incidence risks factors for lung radiotherapy are not well characterized. Methods Patients treated with definitive intent radiation (≥45 Gy) between 2008 2018 at a tertiary academic institution were identified. In addition to patient, tumor, related characteristics, specific baseline frailty markers (Charlson comorbidity index, ECOG, reported...
BackgroundPatients with stage IV oligometastatic (≤ 3 sites) non–small-cell lung cancer have a progression-free survival (PFS) and overall benefit when all sites of metastatic disease the primary tumor are treated radically consolidative radiotherapy (cRT). However, optimal selection patients most likely from cRT is yet to be defined.Patients MethodsPatients definitive (2008-2019) were retrospectively identified. Univariable Cox proportional-hazards model was used compare outcomes...
The integration of artificial intelligence (AI) into clinical practice is transforming both and medical education. AI-based systems aim to improve the efficacy tasks, enhancing diagnostic accuracy tailoring treatment delivery. As it becomes increasingly prevalent in health care for high-quality patient care, critical providers use responsibly mitigate bias, ensure effective outcomes, provide safe practices. In this study, task identification heart failure (HF) prior surgery with intention...