PET/CT-Based Absorbed Dose Maps in ⁹⁰ Y Selective Internal Radiation Therapy Correlate with Spatial Changes in Liver Function Derived from Dynamic MRI.

Autor: Lu Z; Biomedical Imaging Laboratory, Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Taipa, China.; Center for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Taipa, China.; Department of Radiology, University of Michigan Medical Center, Ann Arbor, Michigan., Polan DF; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan., Wei L; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan., Aryal MP; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan., Fitzpatrick K; Department of Radiology, University of Michigan Medical Center, Ann Arbor, Michigan., Wang C; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan., Cuneo KC; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan., Evans JR; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan., Roseland ME; Department of Radiology, University of Michigan Medical Center, Ann Arbor, Michigan., Gemmete JJ; Department of Radiology, University of Michigan Medical Center, Ann Arbor, Michigan., Christensen JA; Department of Radiology, University of Michigan Medical Center, Ann Arbor, Michigan., Kapoor BS; Department of Radiology, University of Michigan Medical Center, Ann Arbor, Michigan., Mikell JK; Department of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri., Cao Y; Department of Radiology, University of Michigan Medical Center, Ann Arbor, Michigan.; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.; Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan; and., Mok GSP; Biomedical Imaging Laboratory, Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Taipa, China; yuni@med.umich.edu gretamok@um.edu.mo.; Center for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Taipa, China.; Ministry of Education Frontiers Science Center for Precision Oncology, Faculty of Health Science, University of Macau, Taipa, China., Dewaraja YK; Department of Radiology, University of Michigan Medical Center, Ann Arbor, Michigan; yuni@med.umich.edu gretamok@um.edu.mo.

Publikováno v: Journal of nuclear medicine : official publication, Society of Nuclear Medicine [J Nucl Med] 2024 Aug 01; Vol. 65 (8), pp. 1224-1230. Date of Electronic Publication: 2024 Aug 01.

Direct incorporation of patient-specific efficacy and toxicity estimates in radiation therapy plan optimization.

Autor: Polan DF; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA., Epelman MA; Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan, USA., Wu VW; Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan, USA., Sun Y; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA., Varsta M; Varian Medical Systems, Palo Alto, California, USA., Owen DR; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA., Jarema D; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA., Matrosic CK; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA., Jolly S; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA., Schonewolf CA; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA., Schipper MJ; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA., Matuszak MM; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.

Publikováno v: Medical physics [Med Phys] 2022 Oct; Vol. 49 (10), pp. 6279-6292. Date of Electronic Publication: 2022 Sep 02.

Predictive Models to Determine Clinically Relevant Deviations in Delivered Dose for Head and Neck Cancer.

Autor: McCulloch MM; Department of Radiation Oncology, The University of Michigan, Ann Arbor, Michigan; Department of Nuclear Engineering and Radiological Sciences, The University of Michigan, Ann Arbor, Michigan; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas. Electronic address: mmmcculloch@mdanderson.org., Lee C; Department of Radiation Oncology, The University of Michigan, Ann Arbor, Michigan., Rosen BS; Department of Radiation Oncology, The University of Michigan, Ann Arbor, Michigan., Kamp JD; Department of Radiation Oncology, The University of Michigan, Ann Arbor, Michigan., Lockhart CM; Department of Radiation Oncology, The University of Michigan, Ann Arbor, Michigan., Lee JY; Department of Radiation Oncology, The University of Michigan, Ann Arbor, Michigan; Princeton Radiation Oncology, Princeton, New Jersey., Polan DF; Department of Radiation Oncology, The University of Michigan, Ann Arbor, Michigan; Department of Nuclear Engineering and Radiological Sciences, The University of Michigan, Ann Arbor, Michigan., Hawkins PG; Department of Radiation Oncology, The University of Michigan, Ann Arbor, Michigan., Anderson CJR; Department of Radiation Oncology, The University of Michigan, Ann Arbor, Michigan., Heukelom J; Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands., Sonke JJ; Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands., Fuller CD; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas., Balter JM; Department of Radiation Oncology, The University of Michigan, Ann Arbor, Michigan., Ten Haken RK; Department of Radiation Oncology, The University of Michigan, Ann Arbor, Michigan., Eisbruch A; Department of Radiation Oncology, The University of Michigan, Ann Arbor, Michigan., Brock KK; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.

Publikováno v: Practical radiation oncology [Pract Radiat Oncol] 2019 Jul - Aug; Vol. 9 (4), pp. e422-e431. Date of Electronic Publication: 2019 Mar 02.

Implementing Radiation Dose-Volume Liver Response in Biomechanical Deformable Image Registration.

Autor: Polan DF; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan. Electronic address: polandan@med.umich.edu., Feng M; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, University of California, San Francisco, California., Lawrence TS; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan., Ten Haken RK; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan., Brock KK; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, Texas.

Publikováno v: International journal of radiation oncology, biology, physics [Int J Radiat Oncol Biol Phys] 2017 Nov 15; Vol. 99 (4), pp. 1004-1012. Date of Electronic Publication: 2017 Jun 27.