A multiobjective Bayesian networks approach for joint prediction of tumor local control and radiation pneumonitis in nonsmall-cell lung cancer (NSCLC) for response-adapted radiotherapy.

Luo, Yi; McShan, Daniel L; Matuszak, Martha M; Ray, Dipankar; Lawrence, Theodore S; Jolly, Shruti; Kong, Feng-Ming; Ten Haken, Randall K; El Naqa, Issam

Luo, Yi; McShan, Daniel L; Matuszak, Martha M; Ray, Dipankar; Lawrence, Theodore S; Jolly, Shruti; Kong, Feng-Ming; Ten Haken, Randall K; El Naqa, Issam.

Affiliation

Luo Y; Department of Radiation Oncology, The University of Michigan, Ann Arbor, MI, 48103, USA.
McShan DL; Department of Radiation Oncology, The University of Michigan, Ann Arbor, MI, 48103, USA.
Matuszak MM; Department of Radiation Oncology, The University of Michigan, Ann Arbor, MI, 48103, USA.
Ray D; Department of Radiation Oncology, The University of Michigan, Ann Arbor, MI, 48103, USA.
Lawrence TS; Department of Radiation Oncology, The University of Michigan, Ann Arbor, MI, 48103, USA.
Jolly S; Department of Radiation Oncology, The University of Michigan, Ann Arbor, MI, 48103, USA.
Kong FM; Department of Radiation Oncology, Indiana University, Indianapolis, IN, 46202, USA.
Ten Haken RK; Department of Radiation Oncology, The University of Michigan, Ann Arbor, MI, 48103, USA.
El Naqa I; Department of Radiation Oncology, The University of Michigan, Ann Arbor, MI, 48103, USA.

Med Phys ; 2018 Jun 04.

Article in En | MEDLINE | ID: mdl-29862533

Key words

joint prediction of LC and RP2; multiobjective Bayesian networks; nonsmall-cell lung cancer; response-adapted radiotherapy

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline / Prognostic_studies / Risk_factors_studies Language: En Journal: Med Phys Year: 2018 Document type: Article Affiliation country: United States Country of publication: United States

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