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Plan optimization

During optimization, the inverse planning system changes the weight of the beamlets by one intensity level (one level higher or lower), one beamlet at a time. After each change, a 3D dose matrix is calculated, and DVHs are generated for the target and critical structures. If the DVHs come closer to satisfying the planning goals, the change is accepted. Otherwise, it is rejected. To avoid local minima, the simulated annealing algorithm initially accepts some changes that make the dose distribution worse.




News
Early Palliative Care in Lung CA Focuses on Coping, Symptoms

Jan 31, 2013 - Early palliative care clinic visits, integrated with standard oncologic care for patients with metastatic lung cancer, emphasize symptom management, coping, and psychosocial aspects of illness, according to research published online Jan. 28 in JAMA Internal Medicine.



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Understanding prostate cancer screening

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