Search Results - "Nyflot, Matthew J"

Error Detection in Intensity-Modulated Radiation Therapy Quality Assurance Using Radiomic Analysis of Gamma Distributions by Wootton, Landon S., Nyflot, Matthew J., Chaovalitwongse, W. Art, Ford, Eric

“…To improve the detection of errors in intensity-modulated radiation therapy (IMRT) with a novel method that uses quantitative image features from radiomics to…”
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Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features by Macomber, Meghan W, Phillips, Mark, Tarapov, Ivan, Jena, Rajesh, Nori, Aditya, Carter, David, Folgoc, Loic Le, Criminisi, Antonio, Nyflot, Matthew J

“…Machine learning for image segmentation could provide expedited clinic workflow and better standardization of contour delineation. We evaluated a new model…”
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Quantitative radiomics: impact of stochastic effects on textural feature analysis implies the need for standards by Nyflot, Matthew J, Yang, Fei, Byrd, Darrin, Bowen, Stephen R, Sandison, George A, Kinahan, Paul E

“…Image heterogeneity metrics such as textural features are an active area of research for evaluating clinical outcomes with positron emission tomography (PET)…”
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Socio-economic factors do not affect overall survival in soft tissue sarcoma when patients treated at a single high-volume center by Eastman, Boryana M, Hippe, Daniel S, Wootton, Landon S, Nyflot, Matthew J, Thompson, Matthew J, Pollack, Seth M, Kim, Edward, Spraker, Matthew B

“…Abstract Background Treatments for soft tissue sarcoma (STS) include extensive surgical resection, radiation and chemotherapy, and can necessitate specialized…”
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MRI Radiomic Features Are Independently Associated With Overall Survival in Soft Tissue Sarcoma by Spraker, Matthew B., MD, PhD, Wootton, Landon S., PhD, Hippe, Daniel S., MS, Ball, Kevin C., MD, Peeken, Jan C., MD, Macomber, Meghan W., MD, Chapman, Tobias R., MD, Hoff, Michael N., PhD, Kim, Edward Y., MD, Pollack, Seth M., MD, Combs, Stephanie E., MD, Nyflot, Matthew J., PhD

“…Abstract Purpose Soft tissue sarcomas (STS) represent a heterogeneous group of diseases, and selection of individualized treatments remains a challenge. The…”
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Phase 1 Trial of Bevacizumab With Concurrent Chemoradiation Therapy for Squamous Cell Carcinoma of the Head and Neck With Exploratory Functional Imaging of Tumor Hypoxia, Proliferation, and Perfusion by Nyflot, Matthew J., PhD, Kruser, Tim J., MD, Traynor, Anne M., MD, Khuntia, Deepak, MD, Yang, David T., MD, Hartig, Gregory K., MD, McCulloch, Timothy M., MD, Wiederholt, Peggy A., RN, Gentry, Lindell R., MD, Hoang, Tien, MD, Jeraj, Robert, PhD, Harari, Paul M., MD

“…Purpose A phase 1 trial was completed to examine the safety and feasibility of combining bevacizumab with radiation and cisplatin in patients with…”
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Targeting safety improvements through identification of incident origination and detection in a near-miss incident learning system by Novak, Avrey, Nyflot, Matthew J., Ermoian, Ralph P., Jordan, Loucille E., Sponseller, Patricia A., Kane, Gabrielle M., Ford, Eric C., Zeng, Jing

“…Purpose: Radiation treatment planning involves a complex workflow that has multiple potential points of vulnerability. This study utilizes an incident…”
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Differential hepatic avoidance radiation therapy: Proof of concept in hepatocellular carcinoma patients by Bowen, Stephen R, Saini, Jatinder, Chapman, Tobias R, Miyaoka, Robert S, Kinahan, Paul E, Sandison, George A, Wong, Tony, Vesselle, Hubert J, Nyflot, Matthew J, Apisarnthanarax, Smith

“…Abstract Purpose To evaluate the feasibility of a novel planning concept that differentially redistributes RT dose away from functional liver regions as…”
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Impact of CT attenuation correction method on quantitative respiratory‐correlated (4D) PET/CT imaging by Nyflot, Matthew J., Lee, Tzu‐Cheng, Alessio, Adam M., Wollenweber, Scott D., Stearns, Charles W., Bowen, Stephen R., Kinahan, Paul E.

“…Purpose: Respiratory‐correlated positron emission tomography (PET/CT) 4D PET/CT is used to mitigate errors from respiratory motion; however, the optimal CT…”
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Regularizing the Deepsurv Network Using Projection Loss for Medical Risk Assessment by Thammasorn, Phawis, Schaub, Stephanie K., Hippe, Daniel S., Spraker, Matthew B., Peeken, Jan C., Wootton, Landon S., Kinahan, Paul E., Combs, Stephanie E., Chaovalitwongse, Wanpracha A., Nyflot, Matthew J.

“…State-of-the-art deep survival prediction approaches expand network parameters to accommodate performance over a fine discretization of output time. For…”
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Radiation oncology resident training in patient safety and quality improvement: a national survey of residency program directors by Spraker, Matthew B, Nyflot, Matthew J, Hendrickson, Kristi R G, Terezakis, Stephanie, Fogh, Shannon E, Kane, Gabrielle M, Ford, Eric C, Zeng, Jing

“…Physicians and physicists are expected to contribute to patient safety and quality improvement (QI) in Radiation Oncology (RO), but prior studies suggest that…”
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Toward consensus reporting of radiation-induced liver toxicity in the treatment of primary liver malignancies: Defining clinically relevant endpoints by Chapman, Tobias R., Bowen, Stephen R., Schaub, Stephanie K., Yeung, Rosanna H., Kwan, Sharon W., Park, James O., Yu, Lei, Harris, William P., Johnson, Guy E., Liou, Iris W., Nyflot, Matthew J., Apisarnthanarax, Smith

“…Our purpose was to define the most clinically relevant “nonclassic” radiation-induced liver disease (RILD) endpoints in cirrhotic patients receiving…”
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Deep learning for patient‐specific quality assurance: Identifying errors in radiotherapy delivery by radiomic analysis of gamma images with convolutional neural networks by Nyflot, Matthew J., Thammasorn, Phawis, Wootton, Landon S., Ford, Eric C., Chaovalitwongse, W. Art

“…Purpose Patient‐specific quality assurance (QA) for intensity‐modulated radiation therapy (IMRT) is a ubiquitous clinical procedure, but conventional methods…”
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The relationship between cardiac radiation dose and mediastinal lymph node involvement in stage III non-small cell lung cancer patients by McNew, Laura K., MD, Bowen, Stephen R., PhD, Gopan, Olga, PhD, Nyflot, Matthew J., PhD, Patel, Shilpen A., MD, Zeng, Jing, MD, Rengan, Ramesh, MD, PhD

“…Abstract Purpose The results from Radiation Therapy Oncology Group (RTOG) 0617, a dose escalation trial that compared treatment with 60 Gy versus 74 Gy for…”
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Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration by Wei, Lise, Niraula, Dipesh, Gates, Evan D H, Fu, Jie, Luo, Yi, Nyflot, Matthew J, Bowen, Stephen R, El Naqa, Issam M, Cui, Sunan

“…Multiomics data including imaging radiomics and various types of molecular biomarkers have been increasingly investigated for better diagnosis and therapy in…”
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CT-based radiomic features predict tumor grading and have prognostic value in patients with soft tissue sarcomas treated with neoadjuvant radiation therapy by Peeken, Jan C., Bernhofer, Michael, Spraker, Matthew B., Pfeiffer, Daniela, Devecka, Michal, Thamer, Ahmed, Shouman, Mohammed A., Ott, Armin, Nüsslin, Fridtjof, Mayr, Nina A., Rost, Burkhard, Nyflot, Matthew J., Combs, Stephanie E.

“…•CT-based radiomic features have prognostic value in soft tissue sarcoma patients.•CT-based radiomic features differentiate grade 3 STS with moderate…”
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MRI-based delta-radiomics predicts pathologic complete response in high-grade soft-tissue sarcoma patients treated with neoadjuvant therapy by Peeken, Jan C., Asadpour, Rebecca, Specht, Katja, Chen, Eleanor Y., Klymenko, Olena, Akinkuoroye, Victor, Hippe, Daniel S., Spraker, Matthew B, Schaub, Stephanie K., Dapper, Hendrik, Knebel, Carolin, Mayr, Nina A., Gersing, Alexandra S., Woodruff, Henry C., Lambin, Philippe, Nyflot, Matthew J., Combs, Stephanie E.

“…•Delta-radiomics predicts pathological complete response to neoadjuvant therapy.•Delta-radiomic models were superior to tumor volume and RECIST.•Delta-radiomic…”
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Use of Electronic Portal Imaging Devices for Pre-Treatment and in vivo Dosimetry Patient-Specific IMRT and VMAT QA: Report of AAPM Task Group 307 by Dogan, Nesrin, Mijnheer, Ben J., Padgett, Kyle, Nalichowski, Adrian, Wu, Chuan, Nyflot, Matthew J., Olch, Arthur J., Papanikolaou, Niko, Shi, Jie, Holmes, Shannon M., Moran, Jean, Greer, Peter B.

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AAPM Task Group Report 307: Use of EPIDs for Patient‐Specific IMRT and VMAT QA by Dogan, Nesrin, Mijnheer, Ben J., Padgett, Kyle, Nalichowski, Adrian, Wu, Chuan, Nyflot, Matthew J., Olch, Arthur J., Papanikolaou, Niko, Shi, Jie, Holmes, Shannon M., Moran, Jean, Greer, Peter B.

“…Purpose Electronic portal imaging devices (EPIDs) have been widely utilized for patient‐specific quality assurance (PSQA) and their use for transit dosimetry…”
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Nearest Neighbor-Based Strategy to Optimize Multi-View Triplet Network for Classification of Small-Sample Medical Imaging Data by Thammasorn, Phawis, Chaovalitwongse, Wanpracha A., Hippe, Daniel S., Wootton, Landon S., Ford, Eric C., Spraker, Matthew B., Combs, Stephanie E., Peeken, Jan C., Nyflot, Matthew J.

“…Multi-view classification with limited sample size and data augmentation is a very common machine learning (ML) problem in medicine. With limited data, a…”
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