A5089270663- Cancer Cells and Metastasis
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Lung Cancer Diagnosis and Treatment
- Advanced Radiotherapy Techniques
- FOXO transcription factor regulation
- Brain Metastases and Treatment
- Virus-based gene therapy research
- Cancer, Stress, Anesthesia, and Immune Response
- Breast Cancer Treatment Studies
- Lung Cancer Treatments and Mutations
- Radiopharmaceutical Chemistry and Applications
- Cancer Diagnosis and Treatment
- Glioma Diagnosis and Treatment
- Meningioma and schwannoma management
- Lung Cancer Research Studies
- Neonatal Respiratory Health Research
- Management of metastatic bone disease
- Hepatocellular Carcinoma Treatment and Prognosis
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Genetics, Aging, and Longevity in Model Organisms
- Advanced X-ray and CT Imaging
- Estrogen and related hormone effects
- Cancer, Hypoxia, and Metabolism
- Polymer Nanocomposite Synthesis and Irradiation
University of Iowa
2014-2025
Cancer Research Foundation
2012-2023
Penn State Milton S. Hershey Medical Center
2023
Cancer Institute (WIA)
2023
University of Iowa Hospitals and Clinics
2015-2020
Pennsylvania State University
2012-2013
William & Mary
2004
Zentralklinik Bad Berka
2000
Conventional wisdom has rendered patients with brain metastases ineligible for clinical trials fear that poor survival could mask the benefit of otherwise promising treatments. Our group previously published diagnosis-specific Graded Prognostic Assessment (GPA). Updates larger contemporary cohorts using molecular markers and newly identified prognostic factors have been published. The purposes this work are to present all updated indices in a single report guide treatment choice, stratify...
Positron emission tomography and computed (PET-CT) dual-modality imaging provides critical diagnostic information in modern cancer diagnosis therapy. Automated accurate tumor delineation is essentially important computer-assisted reading interpretation based on PET-CT. In this paper, we propose a novel approach for the segmentation of lung tumors that combines powerful fully convolutional networks (FCN) semantic framework (3D-UNet) graph cut co-segmentation model. First, two separate deep...
Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of diagnoses and is the leading cause cancer-related death worldwide. Recent studies indicate that image-based radiomics features from positron emission tomography/computed tomography (PET/CT) images have predictive power for NSCLC outcomes. To this end, easily calculated functional such as maximum mean standard uptake value (SUV) total lesion glycolysis (TLG) are most commonly used prognostication, but their prognostic...
Purpose To investigate the use and efficiency of 3‐D deep learning, fully convolutional networks ( DFCN ) for simultaneous tumor cosegmentation on dual‐modality nonsmall cell lung cancer NSCLC positron emission tomography PET )‐computed CT images. Methods We used tumors in ‐ images, considering both information. The proposed ‐based method consists two coupled three‐dimensional (3D)‐ UN ets with an encoder‐decoder architecture, which can communicate other order to share complementary...
Breast cancer treatment is based on estrogen receptors (ERs), progesterone (PRs), and human epidermal growth factor receptor 2 (HER2). At the time of metastasis, status can be discordant from that at initial diagnosis. The purpose this study was to determine incidence discordance its effect survival subsequent in patients with breast brain metastases (BCBM).A retrospective database 316 who underwent craniotomy for BCBM between 2006 2017 created. Discordance considered present if ER, PR, or...
The purpose of this work was to develop, validate, and compare a highly computer-aided method for the segmentation hot lesions in head neck 18F-FDG PET scans.A semiautomated developed, which transforms problem into graph-based optimization problem. For purpose, graph structure around user-provided approximate lesion centerpoint is constructed suitable cost function derived based on local image statistics. To handle frequently occurring situations that are ambiguous (e.g., adjacent each other...
PurposeThe adrenal glands are a common site of metastases because their rich blood supply. Previously, were treated with systemic chemotherapy or, more rarely, surgical resection or palliative radiation therapy. Stereotactic body therapy (SBRT) has recently emerged as an attractive noninvasive approach to definitively treat these lesions. We present our experience in treating using SBRT and review the current literature.Methods materialsThis is single-institution retrospective patients who...
Quality control plays an increasingly important role in quantitative PET imaging and is typically performed using phantoms. The purpose of this work was to develop validate a fully automated analysis method for two common PET/CT quality assurance phantoms: the NEMA NU-2 IQ SNMMI/CTN oncology phantom. algorithm designed only utilize scan enable phantoms with thin-walled inserts.We introduce model-based spherical inserts. Models are first constructed each type phantom be analyzed. A robust...
The mammary ducts of humans and mice are comprised two main epithelial cell (MEC) subtypes: a surrounding layer basal MECs an inner luminal MECs. Breast cancer subtypes show divergent clinical behavior that may reflect properties inherent in their MEC compartment origin. How the response to cancer-initiating genetic event is shaped by subtype remains largely unexplored. Using mouse gland, we designed organotypic three-dimensional culture models permit challenge discrete compartments with...
Purpose: This study aimed to investigate the role of stereotactic body radiation therapy (SBRT) as salvage for locally recurrent esophageal cancer. We hypothesized that SBRT would provide durable treated tumor control with minimal associated toxicity in patients progressive disease after definitive radiation, chemotherapy, and surgical resection. Methods: single-institution retrospective assessed outcomes who received locoregional failure cancer initial curative-intent treatment. Only had...
Positron emission tomography and computed (PET-CT) plays a critically important role in modern cancer therapy. In this paper, we focus on automated tumor delineation PET-CT image pairs. Inspired by co-segmentation model, develop novel 3D co-matting technique making use of the inner-modality information PET CT for matting. The obtained results are then incorporated graph-cut based framework. Our comparative experiments 32 scan pairs lung patients demonstrate that proposed can significantly...
High hydrogen-content aliphatic polymers have been identified as good for shielding against galactic cosmic radiation. However, their utility in structural elements is limited to modest temperatures where desirable mechanical properties are maintained. On the other hand, aromatic generally a broader range of operating but less effective radiation shields. The enhanced by incorporation hydrogen-rich groups appended units macromolecular structure. It envisioned that functionally graded polymer...
This work presents a method to treat stereotactic body radiation therapy (SBRT) for pancreatic cancer on magnetic resonance-guided linear accelerator (MR-linac) using daily adaptation, real-time motion monitoring, and abdominal compression.
1079 Background: Brain metastases (BM) are a common and fatal complication of breast cancer but survival varies widely based on various prognostic factors (PF). Hence, patient counseling therapeutic decisions should be individualized. We previously published index (Breast GPA) cohort A (1985-2007, n = 642), updated it with tumor subtype in B (1993-2010, 400) now updating larger contemporary (C). Methods: multi-institutional (19) multi-national (3) retrospective database 2473 patients BM...
RADEval is a tool developed to assess the expected clinical impact of contouring accuracy when comparing manual and semi-automated segmentation. The tool, designed process large scale datasets, imported total 2,760 segmentation along with Simultaneous Truth Performance Level Estimation (STAPLE) act as ground truth tumor segmentations. Virtual dose-maps were created within two different control probability (TCP) values using Logistic Poisson TCP models calculated in each STAPLE dose-map. also...