def create_lung_objectives(ss, plan, target, total_dose): if total_dose > 40: # Curative fractionation: OF.uniform_dose(ss, plan, target, total_dose * 100, 25) OF.max_dose(ss, plan, target, total_dose * 100 * 1.05, 5) OF.min_dvh(ss, plan, target, total_dose * 0.95 * 100, 98, 100) OF.min_dvh(ss, plan, ROIS.ptv.name, total_dose * 0.95 * 100, 95, 80) OF.max_dose(ss, plan, ROIS.ptv.name, total_dose * 100 * 1.05, 50) OF.max_eud(ss, plan, ROIS.esophagus.name, 0.51 * total_dose * 100, 1, 1) # (~34 Gy for 66 Gy total dose) OF.max_dose(ss, plan, ROIS.external.name, total_dose * 100 * 1.05, 80) OF.fall_off(ss, plan, ROIS.external.name, total_dose * 100, total_dose * 100 / 2, 3, 2) OF.max_eud(ss, plan, ROIS.heart.name, 0.53 * total_dose * 100, 1, 10) # (~35 Gy for 66 Gy total dose) OF.max_eud(ss, plan, ROIS.spinal_canal.name, 0.6818 * total_dose * 100, 1, 10) # (~45 Gy for 66 Gy total dose) match = False if SSF.has_roi_with_shape(ss, ROIS.lungs_gtv.name): l = ROIS.lungs_gtv.name elif SSF.has_roi_with_shape(ss, ROIS.lungs_igtv.name): l = ROIS.lungs_igtv.name else: l = ROIS.lungs.name OF.max_eud(ss, plan, l, 0.29 * total_dose * 100, 1, 15) # (~19 Gy for 66 Gy total dose) OF.max_dvh(ss, plan, l, total_dose * 0.07575 * 100, 55, 70) # (~5 Gy for 66 Gy total dose) OF.max_dvh(ss, plan, l, total_dose * 0.3030 * 100, 30, 80) # (~5 Gy for 66 Gy total dose) elif total_dose < 40: # Palliative fractionation: OF.uniform_dose(ss, plan, target, total_dose * 100, 35) OF.max_dose(ss, plan, ROIS.ptv.name, total_dose * 100 * 1.05, 120) OF.min_dose(ss, plan, ROIS.ptv.name, total_dose * 100 * 0.95, 150) OF.max_dose(ss, plan, ROIS.external.name, total_dose * 100 * 1.05, 80) OF.fall_off(ss, plan, ROIS.external.name, total_dose * 100, total_dose * 100 / 2, 3, 2) OF.max_eud(ss, plan, ROIS.heart.name, 0.29 * total_dose * 100, 1, 10) OF.max_eud(ss, plan, ROIS.lungs.name, 0.23 * total_dose * 100, 1, 15) OF.max_eud(ss, plan, ROIS.spinal_canal.name, 0.9 * total_dose * 100, 1, 5)
def create_breast_reg_objectives(ss, plan, region_code, total_dose, technique_name): OF.fall_off(ss, plan, ROIS.external.name, total_dose * 100, total_dose * 100 / 2, 2.5, 30) OF.max_dose(ss, plan, ROIS.external.name, total_dose * 100 * 1.05, 30) OF.max_eud(ss, plan, ROIS.heart.name, 2 * 100, 1, 5) OF.uniform_dose(ss, plan, ROIS.ctv.name, total_dose * 0.998 * 100, 15) OF.max_dvh(ss, plan, ROIS.ptv_c.name, total_dose * 1.044 * 100, 2, 100) if technique_name == 'VMAT': OF.min_dvh_robust(ss, plan, ROIS.ptv_pc.name, total_dose * 0.97 * 100, 99, 100) OF.min_dvh(ss, plan, ROIS.ptv_c.name, total_dose * 0.97 * 100, 99, 100) if region_code in RC.breast_reg_l_codes: # Left sided target: OF.max_eud(ss, plan, ROIS.breast_r.name, 3 * 100, 1, 1) else: # Right sided target: OF.max_eud(ss, plan, ROIS.breast_l.name, 3 * 100, 1, 1) else: OF.min_dvh(ss, plan, ROIS.ptv_c.name, total_dose * 0.97 * 100, 99, 100)
def create_breast_reg_objectives(ss, plan, region_code, total_dose, technique_name): if SSF.has_roi_with_shape(ss, ROIS.ctv_p.name): OF.fall_off(ss, plan, ROIS.external.name, total_dose * 100, total_dose * 100 / 2, 2.5, 30) OF.max_dose(ss, plan, ROIS.external.name, total_dose * 100 * 1.05, 30) OF.max_eud(ss, plan, ROIS.heart.name, 2 * 100, 1, 5) OF.uniform_dose(ss, plan, ROIS.ctv.name, total_dose * 0.998 * 100, 15) OF.max_dvh(ss, plan, ROIS.ptv_c.name, total_dose * 1.044 * 100, 2, 100) if technique_name == 'VMAT': OF.min_dvh_robust(ss, plan, ROIS.ptv_pc.name, total_dose * 0.97 * 100, 99, 100) OF.min_dvh(ss, plan, ROIS.ptv_c.name, total_dose * 0.97 * 100, 99, 100) if region_code in RC.breast_reg_l_codes: # Left OF.max_eud(ss, plan, ROIS.breast_r.name, 3 * 100, 1, 1) else: OF.max_eud(ss, plan, ROIS.breast_l.name, 3 * 100, 1, 1) else: OF.min_dvh(ss, plan, ROIS.ptv_c.name, total_dose * 0.97 * 100, 99, 100) else: OF.fall_off(ss, plan, ROIS.external.name, total_dose * 100, total_dose * 100 / 2, 2.5, 30) OF.max_dose(ss, plan, ROIS.external.name, total_dose * 100 * 1.05, 30) OF.max_eud(ss, plan, ROIS.heart.name, 2 * 100, 1, 5) OF.uniform_dose(ss, plan, ROIS.ctv_50.name, total_dose * 0.998 * 100, 15) OF.uniform_dose(ss, plan, ROIS.ctv_47.name, total_dose * 0.94 * 100, 5) OF.min_dvh(ss, plan, ROIS.ptv_47c.name, total_dose * 0.9 * 100, 99, 100) OF.max_dvh(ss, plan, ROIS.ptv_47c.name, total_dose * 0.95 * 100, 2, 100) OF.max_dvh(ss, plan, ROIS.ptv_50c.name, total_dose * 1.044 * 100, 2, 100) if technique_name == 'VMAT': OF.min_dvh_robust(ss, plan, ROIS.ptv_50c.name, total_dose * 0.97 * 100, 99, 100) if region_code in RC.breast_reg_l_codes: # Left OF.max_eud(ss, plan, ROIS.breast_r.name, 3 * 100, 1, 1) else: OF.max_eud(ss, plan, ROIS.breast_l.name, 3 * 100, 1, 1) else: OF.min_dvh(ss, plan, ROIS.ptv_50c.name, total_dose * 0.97 * 100, 99, 100)
def create_prostate_objectives(ss, plan, total_dose): if total_dose == 60: # Hypofractionation OF.uniform_dose(ss, plan, ROIS.ctv_60.name, total_dose * 100, 40) OF.uniform_dose(ss, plan, ROIS.ctv_57.name, total_dose * 0.95 * 100, 40) OF.min_dose(ss, plan, ROIS.ptv_60.name, 57.1 * 100, 150) OF.min_dose(ss, plan, ROIS.ptv_57.name, total_dose * 100 * 0.91, 170) OF.min_dose(ss, plan, ROIS.ctv_57.name, total_dose * 100 * 0.93, 35) OF.max_dose(ss, plan, ROIS.ptv_60.name, total_dose * 100 * 1.02, 60) OF.max_dvh(ss, plan, ROIS.ptv_57.name, total_dose * 0.978 * 100, 1, 50) OF.fall_off(ss, plan, ROIS.external.name, total_dose * 100, total_dose * 100 / 2, 1.5, 30) OF.max_dose(ss, plan, ROIS.external.name, total_dose * 100 * 1.038, 25) OF.max_dvh(ss, plan, ROIS.femoral_l.name, 20 * 100, 2, 10) OF.max_dvh(ss, plan, ROIS.femoral_r.name, 20 * 100, 2, 10) OF.max_eud(ss, plan, ROIS.rectum.name, 22.6 * 100, 1, 2) OF.max_dvh(ss, plan, ROIS.rectum.name, total_dose * 0.975 * 100, 3, 4) OF.max_eud(ss, plan, ROIS.z_rectum.name, 18 * 100, 1, 1) OF.max_eud(ss, plan, ROIS.z_rectum.name, 28 * 100, 3, 1) OF.max_dvh(ss, plan, ROIS.z_rectum.name, 51 * 100, 1, 10) OF.max_eud(ss, plan, ROIS.z_bladder.name, 12.4 * 100, 1, 1) OF.fall_off(ss, plan, ROIS.z_ptv_60_wall.name, total_dose * 100, 57 * 100, 0.3, 1) OF.fall_off(ss, plan, ROIS.z_ptv_57_60_wall.name, total_dose * 100, 42 * 100, 0.8, 12) elif total_dose == 55: # Hypofractionation OF.uniform_dose(ss, plan, ROIS.ctv.name, total_dose * 100, 40) OF.min_dose(ss, plan, ROIS.ptv.name, 52.3 * 100, 150) OF.max_dose(ss, plan, ROIS.ptv.name, total_dose * 100 * 1.02, 60) OF.fall_off(ss, plan, ROIS.external.name, total_dose * 100, total_dose * 100 / 2, 1.5, 30) OF.max_dose(ss, plan, ROIS.external.name, total_dose * 100 * 1.038, 25) OF.max_dvh(ss, plan, ROIS.femoral_l.name, 20 * 100, 2, 10) OF.max_dvh(ss, plan, ROIS.femoral_r.name, 20 * 100, 2, 10) OF.max_eud(ss, plan, ROIS.rectum.name, 22.6 * 100, 1, 2) OF.max_dvh(ss, plan, ROIS.rectum.name, total_dose * 0.975 * 100, 3, 4) OF.max_eud(ss, plan, ROIS.z_rectum.name, 18 * 100, 1, 1) OF.max_eud(ss, plan, ROIS.z_rectum.name, 28 * 100, 3, 1) OF.max_dvh(ss, plan, ROIS.z_rectum.name, 51 * 100, 1, 10) OF.max_eud(ss, plan, ROIS.z_bladder.name, 12.4 * 100, 1, 1) OF.fall_off(ss, plan, ROIS.z_ptv_wall.name, total_dose * 100, 42 * 100, 1, 1) elif total_dose == 77 and SSF.has_roi_with_shape( ss, ROIS.ptv_56.name): # Normo-fractionation and lymph node volume OF.uniform_dose(ss, plan, ROIS.ctv_56.name, 56 * 100, 15) OF.uniform_dose(ss, plan, ROIS.ctv_70_sib.name, 70 * 100, 25) OF.uniform_dose(ss, plan, ROIS.ctv_77.name, 77 * 100, 20) OF.min_dose(ss, plan, ROIS.ptv_56.name, 55 * 100, 100) OF.max_dvh(ss, plan, ROIS.ptv_56.name, 58.5 * 100, 5, 5) OF.min_dose(ss, plan, ROIS.ptv_70_sib.name, total_dose * 100 * 0.88, 100) OF.max_dvh(ss, plan, ROIS.ptv_70_sib.name, total_dose * 0.95 * 100, 5, 50) OF.min_dose(ss, plan, ROIS.ptv_77.name, total_dose * 100 * 0.98, 100) OF.max_dose(ss, plan, ROIS.ptv_77.name, total_dose * 100 * 1.02, 70) OF.max_dose(ss, plan, ROIS.external.name, total_dose * 100 * 1.05, 20) OF.fall_off(ss, plan, ROIS.external.name, 56 * 100, 28 * 100, 2, 15) OF.max_dvh(ss, plan, ROIS.femoral_l.name, 35 * 100, 2, 10) OF.max_dvh(ss, plan, ROIS.femoral_r.name, 35 * 100, 2, 10) OF.max_dvh(ss, plan, ROIS.rectum.name, 72.5 * 100, 5, 10) OF.max_eud(ss, plan, ROIS.z_rectum.name, 31 * 100, 1, 1) OF.max_eud(ss, plan, ROIS.z_bladder.name, 34 * 100, 1, 2) OF.max_eud(ss, plan, ROIS.z_spc_bowel.name, 14.2 * 100, 1, 2) OF.fall_off(ss, plan, ROIS.z_ptv_77_wall.name, total_dose * 100, 71 * 100, 0.3, 10) OF.fall_off(ss, plan, ROIS.z_ptv_70_77_wall.name, total_dose * 100, 56 * 100, 0.5, 5) elif total_dose == 77: # Normo-fractionation OF.uniform_dose(ss, plan, ROIS.ctv_77.name, total_dose * 100, 40) OF.uniform_dose(ss, plan, ROIS.ctv_70_sib.name, 70 * 100, 40) OF.min_dose(ss, plan, ROIS.ctv_70_sib.name, total_dose * 100 * 0.89, 25) OF.min_dose(ss, plan, ROIS.ptv_77.name, total_dose * 100 * 0.98, 150) OF.min_dvh(ss, plan, ROIS.ptv_70_sib.name, total_dose * 100 * 0.89, 98, 150) OF.max_dose(ss, plan, ROIS.ptv_77.name, total_dose * 100 * 1.02, 70) OF.max_dose(ss, plan, ROIS.ptv_70_sib.name, total_dose * 0.935 * 100, 50) OF.fall_off(ss, plan, ROIS.external.name, total_dose * 100, total_dose * 100 / 2, 1.5, 30) OF.max_dose(ss, plan, ROIS.external.name, total_dose * 100 * 1.038, 25) OF.max_dvh(ss, plan, ROIS.femoral_l.name, 35 * 100, 2, 10) OF.max_dvh(ss, plan, ROIS.femoral_r.name, 35 * 100, 2, 10) OF.max_eud(ss, plan, ROIS.rectum.name, 40 * 100, 1, 2) OF.max_dvh(ss, plan, ROIS.rectum.name, 72.4 * 100, 5, 15) OF.max_dvh(ss, plan, ROIS.z_rectum.name, 60 * 100, 3, 10) OF.max_eud(ss, plan, ROIS.z_rectum.name, 29.5 * 100, 1, 1) OF.max_eud(ss, plan, ROIS.z_rectum.name, 30 * 100, 5, 1) OF.max_dvh(ss, plan, ROIS.z_rectum.name, 51 * 100, 1, 10) OF.max_eud(ss, plan, ROIS.z_bladder.name, 25 * 100, 1, 3) OF.fall_off(ss, plan, ROIS.z_ptv_77_wall.name, total_dose * 100, 68 * 100, 0.3, 15)