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Matthew Nyflot, PhD

Associate Professor

Education and Training

College: St Olaf College, Northfield, MN

Graduate School: University of Wisconsin, Madison, WI

Selected Publications from a Total of 29

MJ Nyflot, F Yang, D Byrd, SR Bowen, GA Sandison, PE Kinahan. Quantitative radiomics: impact of stochastic effects on textural feature analysis implies the need for standards. J Med Imaging 2(4): 041002, 2015. PMID: 26251842. PMCID: PMC4524811.

MJ Nyflot, J Zeng, AS Kusano, A Novak, T Mullen, W Gao, L Jordan, J Carlson, P Sponseller, G Kane, EC Ford. Metrics of success: measuring impact of a departmental near-miss incident learning system. Pract Radiat Oncol 5(5):409-416, 2015. PMID: 26231595.

L Wootton, MJ Nyflot, WA Chaovalitwongse, EC Ford. A novel error detection methodology for IMRT quality assurance using radiomic features of gamma distributions. Int J Radiat Oncol Biol Phys 102(1):219, 2018. PMID:30102197.

SK Schaub, RG Price, MJ Nyflot, TR Chapman, M Matesan, HJ Veselle, SR Bowen, S Apisarnthanarax. Liver toxicity risk stratification based on functional imaging and dosimetry for hepatocellular carcinoma. Int J Radiat Oncol Biol Phys 102(4): 1349, 2018. PMID: 29932945.

R Price, S Apisarnthanarax, S Schaub, MJ Nyflot, TR Chapman, M Matesan, H Vesselle, SR Bowen. Normal liver radiation dose-response modeling in hepatocellular carcinoma patients with longitudinal sulfur colloid SPECT/CT imaging. Int J Radiat Oncol Biol Phys 102(4):1349, 2018. PMID: 29932945.

MW Macomber, MH Phillips, I Tarapov, R Jena, A Nori, D Carter, L Le Folgoc, A Criminisi, MJ Nyflot. Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features. Phys Med Biol 63(22):235002, 2018. PMID: 30465543.

MJ Nyflot, P Thammasorn, LS Wootton, EC Ford, WA Chaovalitwongse. Deep learning for patient-specific quality assurance: identifying simulated MLC delivery errors on gamma images using convolutional triplet networks. Med Phys 46(2):456, 2019. PMID: 30548601.

JC Peeken, M Bernhofer, MB Spraker, D Pfeiffer, M Devecka, A Thamer, MA Shouman, A Ott, F Nüsslin, NA Mayr, B Rost, MJ Nyflot, SE Combs. CT-based radiomic features predict tumor grading and have prognostic value in patients with soft tissue sarcomas treated with neoadjuvant radiation therapy. Radiother Oncol. 135: 187, 2019. PMID: 30961895.

PE Hartvigson, AS Kusano, MJ Nyflot, L Jordan, T-K Dinh, PA Sponseller, A Schindler, GM Kane, EC Ford. High volume incident learning system use is associated with durable improvement in patient safety culture at 5 years. Pract Radiat Oncol. 9(4):e407, 2019. PMID: 30826480.

MB Spraker, LS Wootton, DS Hippe, KC Ball, JC Peeken, MW Macomber, TR Chapman, M Hoff, EY Kim, S Pollack, SE Combs, MJ Nyflot. MRI radiomic features are independently associated with overall survival in soft tissue sarcoma. Adv Radiat Oncol 4(2):413, 2019. PMID: 31011687. PMCID: PMC6460235.

To see more of Dr. Nyflot’s publications, please click here.

Research Interests

  • Quantitative imaging for patient selection, functional avoidance, and response assessment
  • Radiomics and machine learning
  • Safety and quality in radiation oncology