Schabath, Matthew

Open Protocols

Protocol Name Investigatory Role Biomarkers Data Collections
Expansion of Enduring Infrastructure to Support Lung Cancer Screening Research Leading 0 0
Indeterminate pulmonary nodule biomarker clinical utility trial Involved 0 0
Radiomic Imaging Features and Epidemiology of Incidental Pulmonary Nodules Leading 0 0
Validation of Molecular Biomarkers for the Early Detection of Lung Cancer in the setting of Indeterminate Pulmonary Nodules (Lung Team Project #2) Involved 15 1

Closed Protocols

This person has no closed protocols at the present moment.

Publications

Publication NamePubMed IDJournal
Acidity promotes tumour progression by altering macrophage phenotype in prostate cancer. 31417189 Br J Cancer
Artificial intelligence in cancer imaging: Clinical challenges and applications. 30720861 CA Cancer J Clin
Calibrated Breast Density Measurements. 30545682 Acad Radiol
Cancer Progress and Priorities: Lung Cancer. 31575553 Cancer Epidemiol Biomarkers Prev
Comparison Between Radiological Semantic Features and Lung-RADS in Predicting Malignancy of Screen-Detected Lung Nodules in the National Lung Screening Trial. 29137847 Clin Lung Cancer
Delta radiomic features improve prediction for lung cancer incidence: A nested case-control analysis of the National Lung Screening Trial. 30507033 Cancer Med
Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening. 30607311 IEEE Access
Early-Life and Adult Anthropometrics in Relation to Mammographic Image Intensity Variation in the Nurses' Health Studies. 31826913 Cancer Epidemiol Biomarkers Prev
Explaining Deep Features Using Radiologist-Defined Semantic Features and Traditional Quantitative Features. 30854457 Tomography
Generalized breast density metrics. 30523909 Phys Med Biol
Habitats in DCE-MRI to Predict Clinically Significant Prostate Cancers. 30854444 Tomography
MILD trial, strong confirmation of lung cancer screening efficacy. 31118491 Nat Rev Clin Oncol
Multi-window CT based Radiomic signatures in differentiating indolent versus aggressive lung cancers in the National Lung Screening Trial: a retrospective study. 31253194 Cancer Imaging
Novel clinical and radiomic predictors of rapid disease progression phenotypes among lung cancer patients treated with immunotherapy: An early report. 30797495 Lung Cancer
Optimal lung cancer screening intervals following a negative low-dose computed tomography result. 31632785 J Thorac Dis
Perfusion MR Imaging of Breast Cancer: Insights Using "Habitat Imaging". 29714676 Radiology
Predicting clinically significant prostate cancer using DCE-MRI habitat descriptors. 30647849 Oncotarget
Predicting malignant nodules by fusing deep features with classical radiomics features. 29594181 J Med Imaging (Bellingham)
Predicting Nodule Malignancy using a CNN Ensemble Approach. 30443438 Proc Int Jt Conf Neural Netw
Prediction of pathological nodal involvement by CT-based Radiomic features of the primary tumor in patients with clinically node-negative peripheral lung adenocarcinomas. 29624702 Med Phys
Quantitative Imaging features Improve Discrimination of Malignancy in Pulmonary nodules. 31189944 Sci Rep
Radiologic Features of Small Pulmonary Nodules and Lung Cancer Risk in the National Lung Screening Trial: A Nested Case-Control Study. 28837413 Radiology
Radiological Image Traits Predictive of Cancer Status in Pulmonary Nodules. 27663588 Clin Cancer Res
Radiological semantics discriminate clinically significant grade prostate cancer. 31796094 Cancer Imaging
Radiomics of <sup>18</sup>F-FDG PET/CT images predicts clinical benefit of advanced NSCLC patients to checkpoint blockade immunotherapy. 31807885 Eur J Nucl Med Mol Imaging
Representation of Deep Features using Radiologist defined Semantic Features. 30443437 Proc Int Jt Conf Neural Netw
Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness. 30872600 Sci Rep
Risk models to select high risk candidates for lung cancer screening. 29611557 Ann Transl Med
Risk of lung cancer in lung transplant recipients in the United States. 30565414 Am J Transplant
Stability and reproducibility of computed tomography radiomic features extracted from peritumoral regions of lung cancer lesions. 31494946 Med Phys
Technical challenges in generalizing calibration techniques for breast density measurements. 30525207 Med Phys

Interests

No interests found at the present moment.

To update protocols, publications, biomarkers, or science data, please contact the Data Management and Coordinating Center.

Photograph of Schabath, Matthew
Site
H. Lee Moffitt Cancer Center & Research Institute, Inc.
Degree(s)
Ph.D.
Email
matthew.schabath@moffitt.org
Person ID
3733
EDRN Title
EDRN Principal Investigator
Note
To update contact information, please visit the Data Management and Coordinating Center .