A5008352184- Advanced Radiotherapy Techniques
- Gene expression and cancer classification
- Radiation Dose and Imaging
- Bioinformatics and Genomic Networks
- Radiomics and Machine Learning in Medical Imaging
- Statistical Methods and Inference
- Advanced X-ray and CT Imaging
- Radiation Therapy and Dosimetry
- Lung Cancer Diagnosis and Treatment
- Bayesian Methods and Mixture Models
- Statistical Methods and Bayesian Inference
- Acute Myeloid Leukemia Research
- Bayesian Modeling and Causal Inference
- Computational Drug Discovery Methods
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
- Medical Imaging Techniques and Applications
- Advanced Statistical Modeling Techniques
- Gene Regulatory Network Analysis
- Lymphoma Diagnosis and Treatment
- Genetic Associations and Epidemiology
- AI in cancer detection
- MRI in cancer diagnosis
- Statistical Methods in Clinical Trials
- Chronic Myeloid Leukemia Treatments
University of Florence
2011-2024
Heidelberg (Poland)
2021-2022
University of Hohenheim
2021-2022
The University of Texas MD Anderson Cancer Center
2012-2021
Rice University
2010-2018
The University of Texas Health Science Center at Houston
2014-2018
University of Minnesota, Duluth
2016
University of California, Irvine
2016
Cancer Research And Biostatistics
2015
University of New Mexico
2013
Radiomics is the use of quantitative imaging features extracted from medical images to characterize tumor pathology or heterogeneity. Features measured at pretreatment have successfully predicted patient outcomes in numerous cancer sites. This project was designed determine whether radiomics non–small cell lung (NSCLC) change during therapy and those (delta-radiomics features) can improve prognostic models. were calculated weekly intra-treatment computed tomography for 107 patients with...
BACKGROUND Ibrutinib is active in patients with relapsed/refractory (R/R) chronic lymphocytic leukemia (CLL). In treated ibrutinib for R/R CLL, del(17p), identified by interphase fluorescence situ hybridization (FISH), associated inferior progression‐free survival despite equivalent initial response rates. Del(17p) frequently a complex metaphase karyotype (CKT); the prognostic significance of CKT ibrutinib‐treated has not been reported. METHODS This study reviewed 88 CLL at The University...
Three commercial metal artifact reduction methods were evaluated for use in computed tomography (CT) imaging the presence of clinically realistic implants: Philips O-MAR, GE's monochromatic gemstone spectral (GSI) using dual-energy CT, and GSI with software applied (MARs). Each method was according to CT number accuracy, size streak severity by several phantoms, including three anthropomorphic phantoms containing implants (hip prosthesis, dental fillings spinal fixation rods). All showed...
In this paper, we propose a Bayesian approach to inference on multiple Gaussian graphical models. Specifically, address the problem of inferring undirected networks in situations where some may be unrelated, while others share common features. We link estimation graph structures via Markov random field (MRF) prior which encourages edges. learn sample groups have shared structure by placing spike-and-slab parameters that measure network relatedness. This allows us information between groups,...
Purpose: Increasing evidence suggests radiomics features extracted from computed tomography (CT) images may be useful in prognostic models for patients with nonsmall cell lung cancer (NSCLC). This study was designed to determine whether such can reproducibly obtained cone‐beam CT (CBCT) taken using medical Linac onboard‐imaging systems order track them through treatment. Methods: Test‐retest CBCT of ten previously enrolled a clinical trial were retrospectively and used the concordance...
The vast amount of biological knowledge accumulated over the years has allowed researchers to identify various biochemical interactions and define different families pathways. There is an increased interest in identifying pathways pathway elements involved particular processes. Drug discovery efforts, for example, are focused on biomarkers as well related a disease. We propose Bayesian model that addresses this question by incorporating information gene networks analysis DNA microarray data....
An altered (dysbiosis) and unhealthy status of the gut microbiota is usually responsible for a reduction short chain fatty acids (SCFAs) concentration. SCFAs obtained from carbohydrate fermentation processes are crucial in maintaining homeostasis their determination stool samples could provide faster, reliable cheaper method to highlight presence an intestinal dysbiosis biomarker various diseases. We hypothesize that different diseases, such as celiac disease (CD), adenomatous polyposis (AP)...
While clinical outcomes following immunotherapy have shown an association with tumor mutation load using whole exome sequencing (WES), its applicability is currently limited by cost and bioinformatics requirements. We developed a method to accurately derive the predicted total (PTML) within individual tumors from small set of genes that can be used in next generation (NGS) panels. PTML was derived actual (ATML) 575 distinct melanoma lung cancer samples validated independent (n = 312) 217)...
Background: Radiomics features have been used in a variety of studies to predict patient outcomes or aid the diagnosis non-small cell lung cancer. However, no guidelines exist for best way calculate these maximize their prognostic potential. The purpose current study was evaluate how different image pre-processing techniques may impact both volume dependence and potential univariate analyses.
The purpose of this study was to explore gains in predictive model performance for radiation pneumonitis (RP) using pretreatment CT radiomics features extracted from the normal lung volume.A total 192 patients treated nonsmall cell cancer with definitive radiotherapy were considered current study. In addition clinical and dosimetric data, volume defined treatment planning scan. A 6851 (15 clinical, 298 heart dosimetric, 6538 image features) gathered candidate predictors modeling RP grade ≥3....
Purpose: For nonsmall cell lung cancer (NSCLC) patients, quantitative image features extracted from computed tomography (CT) images can be used to improve tumor diagnosis, staging, and response assessment. these findings clinically applied, need have high intra intermachine reproducibility. The objective of this study is identify CT that are reproducible, nonredundant, informative across multiple machines. Methods: Noncontrast‐enhanced, test‐retest pairs were obtained 56 NSCLC patients...
De novo acute myeloid leukemia (AML) with concurrent DNMT3A, FLT3 and NPM1 mutations (AML DNMT3A/FLT3/NPM1 ) has been suggested to represent a unique AML subset on the basis of integrative genomic analysis, but clinical features such patients have not characterized systematically.We assessed (n = 178) harboring in and/or NPM1, including an index group patients.Patients 35) were significantly younger (median, 56.0 vs. 62.0 years; p 0.025), mostly women (65.7% 46.9%; 0.045), presented higher...
Background and aim Gut microbiota (GM) can support colorectal cancer (CRC) progression by modulating immune responses through the production of both immunostimulatory and/or immunosuppressive cytokines. The role IL-9 is paradigmatic because it either promote tumor in hematological malignancies or inhibit tumorigenesis solid cancers. Therefore, we investigate microbiota–immunity axis healthy mucosa, focusing on correlation between cytokine profile GM signature. Methods In this observational...
Altered circulating levels of free fatty acids (FFAs), namely short chain (SCFAs), medium (MCFAs), and long (LCFAs), are associated with metabolic, gastrointestinal, malignant diseases. Hence, we compared the serum FFA profile patients celiac disease (CD), adenomatous polyposis (AP), colorectal cancer (CRC) to healthy controls (HC). We enrolled 44 (19 CRC, 9 AP, 16 CD) HC. performed a quantitative evaluation gas chromatography-mass spectrometry method (GC-MS), Dirichlet-multinomial...
It has been estimated that about 30% of the genes in human genome are regulated by microRNAs (miRNAs). These short RNA sequences can down-regulate levels mRNAs or proteins animals and plants. Genes miRNAs called targets. Typically, methods for target prediction based solely on sequence data structure information. In this paper we propose a Bayesian graphical modeling approach infers miRNA regulatory network integrating expression with their potential mRNA targets and, via prior probability...
Purpose: The authors investigated the performance of several patient‐specific intensity‐modulated radiation therapy (IMRT) quality assurance (QA) dosimeters in terms their ability to correctly identify dosimetrically acceptable and unacceptable IMRT patient plans, as determined by an in‐house‐designed multiple ion chamber phantom used gold standard. A further goal was examine optimal threshold criteria that were consistent based on same among various dosimeters. Methods: receiver operating...
To analyze the most recent results of Imaging and Radiation Oncology Core Houston Quality Assurance Center's (IROC-H) anthropomorphic head neck (H&N) phantom to determine nature failing irradiations feasibility altering credentialing criteria.IROC-H's H&N phantom, used for intensity-modulated radiation therapy National Cancer Institute-sponsored clinical trials, requires that an institution's treatment plan agrees within ±7% measured thermoluminescent dosimeter (TLD) doses; it also ≥85%...
The extensive use of computed tomography (CT) in diagnostic procedures is accompanied by a growing need for more accurate and patient-specific dosimetry techniques. Optically stimulated luminescent dosimeters (OSLDs) offer potential solution CT point-based surface measuring air kerma. purpose this work was to characterize the OSLD nanoDot dosimetry, quantifying necessary correction factors, evaluating uncertainty these factors.A characterization Landauer OSL (Landauer, Inc., Greenwood, IL)...