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)