class PatientHistoryDict():
def __init__(self, key, value):
self.key = key
self.value = value
diet_dict = {
'veg': "Vegetarian",
'non-veg': "Non-Vegetarian",
'egg': "Ovo-Vegetarian",
'other': "Other"
}
diet_choice = CommonDict.generate_choice(diet_dict)
tobacco_dict = {
'no': 'No exposure',
'passive': 'Passive',
'active': 'Active',
'pa': 'Passive and Active'
}
tobacco_choice = CommonDict.generate_choice(tobacco_dict)
tobacco_type_passive_dict = {
'no': 'No exposure',
'home': "Home",
'work': "Work",
'commute': "Commute",
'social': "Social Interactions",
'other': 'Other'
}
tobacco_type_passive_choice = CommonDict.generate_choice(
tobacco_type_passive_dict)
tobacco_type_dict = {
'no': 'No exposure',
'cig': "Cigarette",
'beedi': "Beedi",
'gutka': "Gutkha",
'pan_masala': "Pan Masala",
'jarda': "Jarda/Maava",
'hookah': "Hookah",
'patch': "Nicotine Patch",
'mishri': "Mishri",
'other': "Other"
}
tobacco_type_choice = CommonDict.generate_choice(tobacco_type_dict)
yes_no_dict = {
'tbd': "To be filled",
"N": "No",
"Y": "Yes",
'other': "Other"
}
class ChemoDict():
def __init__(self, key, value):
self.key = key
self.value = value
place_nact_dict = {'tbd':"To be filled",'pccm':"At PCCM",'outside': "Outside",
'tbd_':"Not Certain, requires follow-up"}
details_nact_dict = {'tbd':"To be filled","Y":"Details Available","tbd_":"Follow-up required"}
drugs_dict = {'tbd':"To be filled",'5fu':"5-FluoroUracil",
'anthra':"Anthracycline",
'anstro':"Anastrozole",
'carbop':"Carboplatin",
'cisp':"Cisplatin",
'cyclo':"Cyclophosphamide",
'doci':"Docitaxel",
'doxo':"Doxorubicin",
'epi':'Epirubicin',
'exe':"Exemestane",
'fulv':"Fulvestrant",
'gem':"Gemcitabine",
'gos':"Goserelin",
'herc':"Herceptin(Trastuzumab)",
'letro':"Letrozole",
'leupro':"Leuprolide",
'pacli':"Paclitaxel",
'tamoxi':"Tamoxifen",
'other':"Other"}
toxic_side_effects_dict = {'tbd':"To be filled",'fever': "Fever",
'aneamia': "Anaemia",
'neutro': "Neutropenia",
'breath': "Breathlessness",
'vom': "Vomiting",
'nausea': "Nausea",
'loose': "Loose Motions",
'cough': "Cough",
'ui': "Urinary Infections",
'cardio': "Cardiotoxicity",
'neuro': "Neuropathy",
'other': "Other"}
toxic_side_effects_grade_dict = {'tbd':"To be filled",'mild':"Mild", 'moderate':"Moderate", 'severe':"Severe",
'other':"Other"}
tumour_response_nact_dict = {'tbd':"To be filled",'partial':"Partial", 'complete':"Complete", 'no':"No Effect",
'other':"Other"}
nact_change_dict = {'tbd':"To be filled", 'no':"No change",'change_tox':"NACT regime changed due to toxicity",
'stop_tox': "NACT stopped due to toxicity", 'change_other': "NACT changed due to other reasons",
'stop_other': "NACT stopped due to other reasons"}
trast_regime_nact_dict = {'tbd':"To be filled",'seq':"Sequential", 'con':"Concurrent", 'other':"Other"}
reason_incomplete_chemo_dict = {'tbd':"To be filled",'tox':"Toxicity",
'reluctance': "Reluctance of patient",
'prog': "Progression on chemotherapy",
'doctor': "Advised by treating doctor",
'death_tox': "Death due to toxicity",
'death_disease': "Death due to progressive disease",
'centre': "Preferred treatment at another centre",
'death': "Death due to unrelated cause",
'price': "Patient was unable to afford treatment", 'other': 'Other'}
menopause_dict = {'tbd':"To be filled",'pre': "Pre-menopausal",'peri': "Peri-menopausal",'post': "Post-Menopausal",
'other': "Other"}
ovary_status_dict = {'tbd':"To be filled",'menses': "Menses ongoing",'ameno_on': "Amenorrhoea on Chemo",
'ameno_post': "Amenorrhoea post Chemotherapy", 'other':'Other'}
place_nact_choice = CommonDict.generate_choice(place_nact_dict)
details_nact_choice = CommonDict.generate_choice(details_nact_dict)
drugs_choice = CommonDict.generate_choice(drugs_dict)
toxic_side_effects_choice = CommonDict.generate_choice(toxic_side_effects_dict)
toxic_side_effects_grade_choice = CommonDict.generate_choice(toxic_side_effects_grade_dict)
tumour_response_choice = CommonDict.generate_choice(tumour_response_nact_dict)
nact_change_choice = CommonDict.generate_choice(nact_change_dict)
trast_regime_nact_choice = CommonDict.generate_choice(trast_regime_nact_dict)
reason_incomplete_nact_choice = CommonDict.generate_choice(reason_incomplete_chemo_dict)
menopause_choice = CommonDict.generate_choice(menopause_dict)
ovary_status_choice = CommonDict.generate_choice(ovary_status_dict)
class BiopsyDict():
def __init__(self, key, value):
self.key = key
self.value = value
consent_stat_dict = {
'tbd': "To be filled",
"N": "No Consent",
"Y": "Consent Taken"
}
consent_form_dict = {
'tbd': "To be filled",
"Y": "Consent form with signature present in folder",
"N": "Completed consent form not present in folder"
}
biopsy_type_dict = {
'tbd': "To be filled",
"direct": "Direct",
"usg_guided": "USG Guided",
"vab": "VAB",
"trucut": "Tru-cut",
"stereo": "Steriotactic",
"other": "Other"
}
tumour_diagnosis_dict = {
'tbd': "To be filled",
'benign': 'Benign',
'dcis_micro': "Ductal carcinoma in situ(DCIS) with microinvasion",
'dcis_no_micro':
"Ductal carcinoma in situ(DCIS) without microinvasion",
"lcs": "Lobular Carcinoma in Situ (LCS)",
"idc": "Invasive Ductal Carcinoma (IDC)",
'ilc': "Invasive Lobular Carcinoma (ILC)",
'gm': "Granulamatous Mastitis",
'papc': "Papillary Carcinoma",
'phyc': "Phylloid Carcinoma",
'imc': "Invasive Mammary Carcinoma",
'ibc': "Invasive Breast Carcinoma",
'other': 'Other'
}
biopsy_custody_pccm_dict = {
'tbd': "To be filled",
"Y": "In PCCM Custody",
"N": "Not in PCCM custody"
}
tumour_grade_dict = {
'tbd': "To be filled",
"1": 'Grade 1',
"2": "Grade 2",
"3": "Grade 3"
}
lymphovascular_emboli_dict = {
'tbd': "To be filled",
"Y": "Lymphovascular Emboli Seen",
"N": "No Lymphovascular Emboli Seen",
'report': 'Not mentioned in Report',
'other': 'Other'
}
dcis_biopsy_dict = {
'tbd': "To be filled",
"Y": "DCIS seen",
"N": "DCIS not seen",
'report': 'Not mentioned in Report',
'other': 'Other'
}
tumour_er_dict = {
'tbd': "To be filled",
"pos": "Positive",
"neg": "Negative",
'report': 'Not mentioned in Report',
'other': 'Other'
}
tumour_pr_dict = {
'tbd': "To be filled",
"pos": "Positive",
"neg": "Negative",
'report': 'Not mentioned in Report',
'other': 'Other'
}
tumour_her2_dict = {
'tbd': "To be filled",
"pos": "Positive",
"eqv": "Equivocal",
"neg": "Negative",
'report': 'Not mentioned in Report',
'other': 'Other'
}
fnac_dict = {
'tbd': "To be filled",
"Y": "Done",
"N": "Not Done",
'report': 'Not mentioned in Report',
'other': 'Other'
}
fnac_location_dict = {
'tbd': "To be filled",
"rb": "Right",
"lb": "Left",
"both": "Both",
'report': 'Not mentioned in Report',
'other': 'Other'
}
fnac_diagnosis_dict = {
'tbd': "To be filled",
"normal": "Normal",
"benign": "Benign",
"malignant": "Malignant",
'report': 'Not mentioned in Report',
'other': 'Other'
}
consent_stat_choice = CommonDict.generate_choice(consent_stat_dict)
consent_form_choice = CommonDict.generate_choice(consent_form_dict)
biopsy_type_choice = CommonDict.generate_choice(biopsy_type_dict)
tumour_diagnosis_choice = CommonDict.generate_choice(tumour_diagnosis_dict)
biopsy_custody_pccm_choice = CommonDict.generate_choice(
biopsy_custody_pccm_dict)
tumour_grade_choice = CommonDict.generate_choice(tumour_grade_dict)
lymphovascular_emboli_choice = CommonDict.generate_choice(
lymphovascular_emboli_dict)
dcis_biopsy_choice = CommonDict.generate_choice(dcis_biopsy_dict)
tumour_er_choice = CommonDict.generate_choice(tumour_er_dict)
tumour_pr_choice = CommonDict.generate_choice(tumour_pr_dict)
tumour_her2_choice = CommonDict.generate_choice(tumour_her2_dict)
fnac_choice = CommonDict.generate_choice(fnac_dict)
fnac_location_choice = CommonDict.generate_choice(fnac_location_dict)
fnac_diagnosis_choice = CommonDict.generate_choice(fnac_diagnosis_dict)
class ClinicalExamDict():
def __init__(self, key, value):
self.key = key
self.value = value
palpable_dict = {
'tbd': "To be filled",
'definite': "Definite",
'vague': "Vague",
'diffuse': "Diffuse",
'nil': "Nil",
'other': "Other"
}
lump_size_dict = {
'tbd': "To be filled",
'1': "less than 2cm",
'2': "2-5cm",
'3': "more than 5cm",
'other': "Other"
}
lump_number_dict = {
'tbd': "To be filled",
'single': "Single",
'multiple': "Multiple",
'other': "Other"
}
lump_consistency_dict = {
'tbd': "To be filled",
'soft': "Soft",
'Firm': "Firm",
'hard': "Hard",
'cystic': "Cystic",
'mobile': "Mobile",
'other': "Other"
}
lump_fixity_dict = {
'tbd': "To be filled",
'skin': "Skin",
'chest wall': "Chest_Wall",
'Pectoral_major_muscle': "Pectoral major muscle",
'no_fixation': "No fixation",
'other': "Other"
}
metastasis_type_dict = {
'tbd': "To be filled",
'diffuse': "Diffuse",
'sectoral': "Sectoral",
'other': "Other"
}
discharge_type_dict = {
'tbd': "To be filled",
'milky': "Milky",
'serous': "Serous",
'brown': "Brown",
'blood': "Blood",
'other': "Other"
}
skin_change_type_dict = {
'tbd': "To be filled",
'dimpling': "Dimpling",
'ulceration': "Ulceration",
'discoloration': "Discoloration",
'eczema': "Eczema",
'edema': "Edema",
'redness': "Redness",
'peau': "Peau d'orange",
'other': "Other"
}
contalateral_breast_dict = {
'tbd': "To be filled",
'normal': "Normal",
'diffuse mastitis': "diffuse mastitis",
'Localised Mastitis': "Localised Mastitis",
'other': "Other"
}
arm_edema_dict = {
'tbd': "To be filled",
'right': "Right",
'left': "Left",
'not present': "Not present",
'both': "Both",
'other': "Other"
}
usg_abdomen_dict = {
'nd': "Not Done",
'normal': "Normal",
'abnormal': "Abnormal"
}
cect_abdomen_thorax_dict = {
'nd': "Not done",
'normal': "Normal",
'visceral metastasis': "Visceral Metastasis"
}
pet_scan_dict = {
'nd': "Not Done",
'normal': "Normal",
'visceral metastasis': "Visceral Metastasis",
'skeletal metastasis': "Skeletal Metastasis"
}
bone_scan_dict = {
'nd': "Not Done",
'normal': "Normal",
'skeletal metastasis': "Skeletal Metastasis"
}
palpable_choice = CommonDict.generate_choice(palpable_dict)
lump_size_choice = CommonDict.generate_choice(lump_size_dict)
lump_number_choice = CommonDict.generate_choice(lump_number_dict)
lump_consistency_choice = CommonDict.generate_choice(lump_consistency_dict)
lump_fixity_choice = CommonDict.generate_choice(lump_fixity_dict)
metastasis_type_choice = CommonDict.generate_choice(metastasis_type_dict)
discharge_type_choice = CommonDict.generate_choice(discharge_type_dict)
skin_change_type_choice = CommonDict.generate_choice(skin_change_type_dict)
contalateral_breast_choice = CommonDict.generate_choice(
contalateral_breast_dict)
arm_edema_choice = CommonDict.generate_choice(arm_edema_dict)
usg_abdomen_choice = CommonDict.generate_choice(usg_abdomen_dict)
cect_abdomen_thorax_choice = CommonDict.generate_choice(
cect_abdomen_thorax_dict)
pet_scan_choice = CommonDict.generate_choice(pet_scan_dict)
bone_scan_choice = CommonDict.generate_choice(bone_scan_dict)
class MammographyDict():
def __init__(self, key, value):
self.key = key
self.value = value
mammo_location_dict = {'tbd':"To be filled",'pccm':"PCCM", 'out':"Outside",'other': "Other"}
mammo_details_dict = {'tbd':"To be filled","N": "No","Y":"Yes",}
mammo_breast_density_dict = {'tbd':"To be filled",'NA': "Information not available in this report",
'a':"a. The breasts are almost entirely fatty", 'b': "b. There are scattered areas of "
"fibroglandular density", 'c': "c. The breasts are heterogeneously dense, which may "
"obscure small masses", 'd': "d. The breasts are extremely dense which lowers the "
"sensitivity of mammography", 'other': "Other"}
mammo_mass_depth_dict = {'tbd':"To be filled",'NA':"Not Present",'anterior':"Anterior",'middle':"Middle",
'posterior':"Posterior",
'other':"Other"}
mammo_mass_shape_dict= {'tbd':"To be filled",'NA':"Not Present",'oval':"Oval", 'round':"Round", 'irreg':"Irregular",
'other':"Other"}
mammo_mass_margin_dict = {'tbd':"To be filled",'NA':"Not Present",'circ':"Circumscribed", 'obsc':"Obscured",
'micro':"Microlobulated",
'ind':"Indistinct", 'spic':"Spiculated", 'other':"Other"}
mammo_mass_density_dict = {'tbd':"To be filled",'NA':"Not Present",'high':"High density",'equal':"Equal density",
'low': "Low density",
'fat':"Fat-containing", 'other': "Other"}
mammo_calcification_type_dict = {'tbd':"To be filled",'NA':"Not Present",'skin':"Skin",'vascular': "Vascular",
'popcorn': "Coarse or 'Popcorn-like'", 'large': "Large Rod-like",
'round':"Round and punctate", 'egg':"Eggshell or Rim",
'dystrophic': "Dystrophic",'suture': "Suture",'amorphous': "Amorphous",'coarse':
"Coarse Heterogeneous",'fine': "Fine Pleomorphic", 'fine_linear':
"Fine Linear or Fine Linear Branching",'other': "Other"}
mammo_calcification_diagnosis_dict = {'tbd':"To be filled",'NA':"Not Present",'benign':"Typically Benign",
'suspicious':"Suspicious Morphology"}
mammo_calcification_distribution_dict = {'tbd':"To be filled",'NA':"Not Present",'diffuse':"Diffuse",
'regional':"Regional",
'grouped':"Grouped",'linear':"Linear", 'segmental':"Segmental"}
mammo_assym_type_dict = {'tbd':"To be filled",'NA':"Not Present",'assym':"Asymmetry", 'global':"Global asymmetry",
'focal':"Focal asymmetry", 'developing':"Developing asymmetry", 'other':"Other"}
mammo_intra_mammary_lymph_nodes_dict = {'tbd':"To be filled","N":"Intra-mammary lymph nodes absent",
"Y":"Intra-mammary lymph nodes present"}
mammo_lesion_dict = {'tbd':"To be filled","N":"Skin Lesion not present", "Y":"Skin Lesion present"}
abvs_diagnosis_dict = {'tbd':"To be filled",'follow_up':'Not Present in Report','normal':"Normal", 'benign':"Benign",
'suspicious':"Suspicious", 'cancer':"Diagnostic for Cancer"}
sonomammo_tissue_dict = {'tbd':"To be filled", 'a': "a. Homogeneous background echotexture – fat",
'b':"b. Homogeneous background echotexture – fibroglandular",
'c': "c. Heterogeneous background echotexture", 'na':"Not available in Report",
'other': 'Other'}
sonomammo_calc_dict = {'tbd':"To be filled",'no':"Not Present",'mass':"Calcifications in a mass", 'outside':"Calcifications outside of a mass",
'intra':"Intraductal calcifications", 'other':'Other'}
sonomammo_skin_dict = {'tbd':"To be filled", 'na':"Not in Report", 'no':"No Skin Changes", 'thick':"Skin thickening", 'retract':"Skin retraction"}
sonomammo_vascularity_dict = {'tbd':"To be filled",'na':"Not in Report", 'no':"Absent", 'internal':"Internal vascularity",
'rim':"Vessels in rim", 'other':"Other"}
sonomammo_elast_dict = {'tbd':"To be filled",'na':"Not in report", 'soft':"Soft", 'intermediate': "Intermediate", 'hard':"Hard",
'other':"Other"}
sonomammo_hilum_dict = {'tbd':"To be filled",'normal':'Normal Lymph Node','na':'Not in report','lost':"Lost", 'thin':"Thin",
'preserved':"Preserved", 'other':"Other"}
sonomammo_lymph_ax_vasc_dict = {'tbd':"To be filled",'normal':'Normal Lymph Node','na':'Not in report', 'ventral':"Ventral",
'peri':"Peripheral", 'other':"Other"}
sonomammo_other_findings_dict = {'tbd':"To be filled",'no':"No other findings",'na':"Not mentioned in report",
'cyst':"Simple cyst", 'microcyst':"Clustered microcysts",'complex':"Complicated cyst",
'mass':"Mass in or on skin",'foriegn':"Foreign body including implants",
'vasc':"Vascular abnormalities",'avm':"AVMs (arteriovenous malformations/pseudoaneurysms)",
'mondor':"Mondor disease",'fluid':"Postsurgical fluid collection",'fat':"Fat necrosis",
'other':"Other"}
sono_mass_shape_dict = {'tbd':"To be filled",'oval':"Oval", 'round':"Round", 'irregular':"Irregular", 'other':"Other"}
sono_orientation_dict= {'tbd':"To be filled",'na':'Not in report','parallel':"Parallel", 'not':"Not parallel"}
sono_mass_margin_dict = {'tbd':"To be filled", 'cirumc':"Circumscribed", 'not':"Not circumscribed",'indistinct':"Indistinct",
'angular':"Angular", 'micro':"Microlobulated", 'spiculated':"Spiculated"}
sono_mass_echo_dict = {'tbd':"To be filled", 'anechoic':"Anechoic",'hyper':"Hyperechoic",'complex':"Complex cystic and solid",
'hypo':"Hypoechoic",'iso':"Isoechoic", 'hetero':"Heterogeneous", 'other':"Other"}
sono_posterior_dict = {'tbd':"To be filled", 'no': "No posterior features", 'enhance':"Enhancement", 'shadow':"Shadowing",
'combinde':"Combined pattern", 'other':"Other"}
mammo_location_choice = CommonDict.generate_choice(mammo_location_dict)
mammo_details_choice = CommonDict.yes_no_choice
mammo_breast_density_choice = CommonDict.generate_choice(mammo_breast_density_dict)
mammo_mass_present_choice = CommonDict.yes_no_choice
mammo_mass_location_right_breast_choice = CommonDict.breast_location_choice
mammo_mass_location_left_breast_choice = CommonDict.breast_location_choice
mammo_mass_depth_choice = CommonDict.generate_choice(mammo_mass_depth_dict)
mammo_mass_dist_choice = CommonDict.distance_from_nipple_choice
mammo_mass_shape_choice = CommonDict.generate_choice(mammo_mass_shape_dict)
mammo_mass_margin_choice = CommonDict.generate_choice(mammo_mass_margin_dict)
mammo_mass_density_choice = CommonDict.generate_choice(mammo_mass_density_dict)
mammo_calcification_present_choice = CommonDict.yes_no_choice
mammo_calc_location_right_breast_choice = CommonDict.breast_location_choice
mammo_calc_location_left_breast_choice = CommonDict.breast_location_choice
mammo_calc_depth_choice = CommonDict.generate_choice(mammo_mass_depth_dict)
mamo_calc_dist_choice = CommonDict.distance_from_nipple_choice
mammo_calcification_type_choice = CommonDict.generate_choice(mammo_calcification_type_dict)
mammo_calcification_diagnosis_choice = CommonDict.generate_choice( mammo_calcification_diagnosis_dict)
mammo_arch_present_choice = CommonDict.yes_no_choice
mammo_arch_location_right_breast_choice = CommonDict.breast_location_choice
mammo_arch_location_left_breast_choice = CommonDict.breast_location_choice
mammo_arch_depth_choice = CommonDict.generate_choice(mammo_mass_depth_dict)
mammo_arch_dist_choice = CommonDict.distance_from_nipple_choice
mammo_assym_present_choice = CommonDict.yes_no_choice
mammo_assym_location_right_breast_choice = CommonDict.breast_location_choice
mammo_assym_location_left_breast_choice = CommonDict.breast_location_choice
mammo_assym_depth_choice = CommonDict.generate_choice(mammo_mass_depth_dict)
mammo_assym_type_right_breast_choice = CommonDict.generate_choice(mammo_assym_type_dict)
mammo_assym_type_left_breast_choice = CommonDict.generate_choice(mammo_assym_type_dict)
mammo_intra_mammary_lymph_nodes_choice = CommonDict.generate_choice(mammo_intra_mammary_lymph_nodes_dict)
mammo_lesion_choice = CommonDict.generate_choice(mammo_lesion_dict)
mammo_lesion_right_breast_choice = CommonDict.breast_location_choice
mammo_lesion_left_breast_choice = CommonDict.breast_location_choice
mammo_birad_choice = CommonDict.birad_choice
mammo_status_choice = CommonDict.form_status_choice
abvs_diagnosis_choice = CommonDict.generate_choice(abvs_diagnosis_dict)
sonomammo_tissue_choice = CommonDict.generate_choice(sonomammo_tissue_dict)
sonomammo_calc_choice = CommonDict.generate_choice(sonomammo_calc_dict)
sonomammo_skin_choice = CommonDict.generate_choice(sonomammo_skin_dict)
sonomammo_vascularity_choice=CommonDict.generate_choice(sonomammo_vascularity_dict)
sonomammo_elast_choice = CommonDict.generate_choice(sonomammo_elast_dict)
sonomammo_hilum_choice = CommonDict.generate_choice(sonomammo_hilum_dict)
sonomammo_lymph_ax_vasc_choice = CommonDict.generate_choice(sonomammo_lymph_ax_vasc_dict)
sonomammo_other_findings_choice = CommonDict.generate_choice(sonomammo_other_findings_dict)
sono_mass_shape_choice = CommonDict.generate_choice(sono_mass_shape_dict)
sono_orientation_choice= CommonDict.generate_choice(sono_orientation_dict)
sono_mass_margin_choice=CommonDict.generate_choice(sono_mass_margin_dict)
sono_mass_echo_choice = CommonDict.generate_choice(sono_mass_echo_dict)
sono_posterior_choice = CommonDict.generate_choice(sono_posterior_dict)
class PatientHistoryDict():
def __init__(self, key, value):
self.key = key
self.value = value
diet_dict = {'tbd': "To be filled", 'veg': "Vegetarian",
'non-veg': "Non-Vegetarian", 'egg': "Ovo-Vegetarian", 'other': "Other"}
period_type_dict = {'tbd': "To be filed", 'regular': "Regular",
'irregular': "Irregular", 'other': "Other"}
menopausal_status_dict = {'tbd': "To be filled", 'pre': "Pre Menopausal", 'post': "Post Menopausal",
'peri': "Peri Menopausal", 'other': "Other"}
tobacco_dict = {'tbd': "To be filled", 'no': 'No exposure', 'passive': 'Passive', 'active': 'Active',
'pa': 'Passive and Active'}
tobacco_type_passive_dict = {'tbd': "To be filled", 'no': 'No exposure', 'home': "Home", 'work': "Work", 'commute': "Commute",
'social': "Social Interactions", 'other': 'Other'}
tobacco_type_dict = {'tbd': "To be filled", 'no': 'No exposure', 'cig': "Cigarette", 'beedi': "Beedi", 'gutka': "Gutkha",
'pan_masala': "Pan Masala", 'jarda': "Jarda/Maava", 'hookah': "Hookah", 'patch': "Nicotine Patch", 'mishri': "Mishri",
'other': "Other"}
yes_no_dict = {'tbd': "To be filled",
"N": "No", "Y": "Yes", 'other': "Other"}
current_complain_dict = {'tbd': "To be filled", 'self': "Self", 'physician': "Physician", 'screening_camp_id': "Screening Camp ID",
'other': "Other"}
annual_income_dict = {'tbd': "To be filled", '1': "0-2.5 lakhs", '2': "2.5-5 lakhs", '3': "5-10 lakhs",
'4': "more than 10 lakhs"}
metastasis_symptoms_dict = {'tbd': "To be filled", 'N': "Absent", 'jauncice': "Jaundice", 'bone pain': "Bone Pain", 'cough': "Cough",
'weight loss': "Weight Loss", 'headache': "Headache"}
treatment_type_dict = {'tbd': "To be filled", 'surgery': "Surgery", 'radiation': "Radiation",
'chemotherapy': "Chemotherapy", 'hormone': "Hormone",
'alternative therapy': "Alternative Therapy", 'home remedies': "Home Remedies",
'none': "None", 'other': "Other"}
degree_of_relation_dict = {'tbd': "To be filled", 'i': "Immediate Family", 'm': "Maternal Family", 'p': "Paternal Family",
'other': "Other"}
marital_status_dict = {'tbd': "To be filled",
'married': "Married", 'single': "Single", 'other': "Other"}
symptom_absent_present_dict = {
'tbd': "To be filled", 'absent': "Absent", 'other': "Present"}
diet_choice = CommonDict.generate_choice(diet_dict)
tobacco_choice = CommonDict.generate_choice(tobacco_dict)
tobacco_type_passive_choice = CommonDict.generate_choice(
tobacco_type_passive_dict)
tobacco_type_choice = CommonDict.generate_choice(tobacco_type_dict)
current_complain_choice = CommonDict.generate_choice(current_complain_dict)
annual_income_choice = CommonDict.generate_choice(annual_income_dict)
period_type_choice = CommonDict.generate_choice(period_type_dict)
menopausal_status_choice = CommonDict.generate_choice(
menopausal_status_dict)
metastasis_symptoms_choice = CommonDict.generate_choice(
metastasis_symptoms_dict)
treatment_type_choice = CommonDict.generate_choice(treatment_type_dict)
degree_of_relation_choice = CommonDict.generate_choice(
degree_of_relation_dict)
marital_status_choice = CommonDict.generate_choice(marital_status_dict)
symptom_absent_present_choice = CommonDict.generate_choice(
symptom_absent_present_dict)
class SurgeryReportDict():
def __init__(self, key, value):
self.key = key
self.value = value
location_of_lesion_dict = {
'tbd': "To be done",
'left': "Left",
'right': "Right",
'bilateral': "Bilateral",
'other': "Other"
}
incision_dict = {
'tbd': "To be done",
'inframammary_fold_incision': "Inframammary Fold Incision",
'lateral_fold': "Lateral Fold",
'lateral_crease': "Lateral Crease",
'wise_pattern': "Wise Pattern",
'radial': "Radial",
'oblique': "Oblique",
'transveres_oblique': "Transverse Oblique",
'oblique_with_supra_aerolar': "Oblique with supra areolar",
'circum_areolar_at_margin': "Circum areolar at margin",
'circum_areolar_away_from_margin': "Circum areolar away from margin",
'axillary': "Axillary",
'vertical_scar': "Vertical scar",
'other': "Other"
}
masectomy_type_dict = {
'tbd': "To be done",
'aereolar_sparing': "Aereolar Sparing",
'nipple_sparing': "Nipple Sparing",
'skin_sparing': "Skin Sparing",
'mrm': "Modified Radical Masectomy",
'other': "Other"
}
type_of_surgery_ibr_dict = {
'tbd': "To be done",
'non_sling_conventional_ibrs': "Non Sling Conventional IBRS",
'sling_alds': "Sling ALDS",
'advanced_sling_aalds': "Advanced sling AALDS",
'ld_flap_and_implant': "LD Flap+Implant",
'tdap_and_implant': "TDAP+Implant",
'licap_and_implant': "LICAP+Implant",
'other': "Other"
}
type_of_surgery_cbs_dict = {
'tbd': "To be done",
'conventional_surgery': "Conventional Surgery",
'oncoplastic_surgery': "Oncoplastic Surgery",
'other': "Other"
}
type_of_conventional_surgery_dict = {
'tbd': "To be done",
'NA': "Not Done",
'lumpectomy': "Lumpectomy",
'quadrantectomy': "Quadrantectomy",
'wedge_resection': "Wedge Resection",
'other': "Other"
}
implant_used_dict = {
'tbd': "To be done",
'fixed_volume_smooth': "Fixed volume: smooth",
'fixed_volume_textured': "Fixed volume: textured",
'fixed_volume_microtextured': "Fixed Volume: Microtextured",
'dual_lumen': "Dual Lumen",
'other': "Other"
}
level_oncoplastic_dict = {
'tbd': "To be done",
'1': "1",
'2': "2",
'3': "3",
'other': "Other"
}
type_levelone_oncoplastic_dict = {
'tbd': "To be done",
'NA': "Not done",
'simple_oncoplastic': "Simple Oncoplastic or mammoplasty",
'volume_displacement': "Volume Displacement",
'other': "Other"
}
type_flap_used_oncoplastic_levelone_dict = {
'tbd': "To be done",
'NA': "Not available",
'grisotti': "Grisotti Flap",
'round_block': "Round Block",
'batwing_procedure': "Batwing Procedure",
'other': "other"
}
type_therapeytic_type_leveltwo_oncoplastic_dict = {
'tbd': "To be done",
'NA': "Not available",
'simple': "Simple Therapeutic",
'extreme': "Extreme Therapeutic",
'other': "other"
}
plan_simple_therapeutic_dict = {
'tbd': "To be done",
'NA': "Not available",
'wise_pattern': "Wise Pattern",
'vertical_scar': "Vertical scar",
'other': "other"
}
pedicle_type_simple_therapeutic_dict = {
'tbd': "To be done",
'NA': "Not available",
'lower_pedicle': "Lower pedicle",
'superior_pedicle': "Superior pedicle",
'superio_medial_pedicle': "Superio-medial pedicle",
'lateral_pedicle': "Lateral pedicle",
'dual_pedicle': "Dual Pedicle",
'other': "other"
}
tumour_filled_by_extreme_therapeutic_dict = {
'tbd': "To be done",
'NA': "Not available",
'extended_primary_pedicle': "Extended Primary pedicle",
'secondary_pedicle': "Secondary pedicle",
'other': "Other"
}
flap_used_levelthree_dict = {
'tbd': "To be done",
'NA': "Not available",
'local_thoraco_epigastric': "Local thoraco epigastric flap",
'local_licap': "Local LICAP",
'Local_tdap': "Local TDAP",
'local_aicap': "Local AiCAP",
'local_micap': "Local MiCAP",
'ld_flaps': "LD Flaps",
'mini_ld': "Mini LD",
'other': "Other"
}
type_of_surgery_contralateral_dict = {
'tbd': "To be done",
'NA': "Not available",
'symmetrisation_same': "Symmetrisation;same as other",
'symmetrisation_different': "Symmetrisation;different than other",
'prophylactic_masectomy_wiht_reconstruction':
"Prophylactic masectomy with reconstruction",
'other': "Other"
}
primary_pedicle_extreme_therapeutic_dict = {
'tbd': "To be done",
'NA': "Not available",
'lower': "Lower pedicle",
'superior': "Superior pedicle",
'superio_medial': "Superio-medial pedicle",
'lateral': "Lateral pedicle",
'inferior': "Inferior pedicle",
'inferior medial': "Inferior medial pedicle",
'inferior_medial_lateral': "Inferior medial lateral pedicle",
'other': "other"
}
secondary_pedicle_extreme_therapeutic_dict = {
'tbd': "To be done",
'NA': "Not available",
'inferior': "Inferior pedicle",
'inferior_lateral': "Inferior lateral pedicle",
'inferior_lateral_medial': "Inferior lateral medial pedicle",
'superior': "Superior pedicle",
'superior_medial': "Superior medial pedicle",
'inferior_medial': "Inferior medial pedicle",
'other': "other"
}
nodes_guided_by_dict = {
'tbd': "To be done",
'NA': "Not available",
'palpation': "Palpation",
'usg_guided': "USG guided",
'wire_placement': "Wire placement guided",
'gamma_camera': "Gamma camera guided",
'blue_dye': "Blue dye",
'other': "Other"
}
sample_sent_from_dict = {
'tbd': "To be done",
'NA': "Not available",
'senital_node': "Senital Node",
'under_nipple_surface': "Under nipple surface",
'margin_additional': "Margin additional",
'tumour_free_margin': "Tumour free margin",
'any_other_specimen': "Any other specimen",
'other': "Other"
}
nodes_excised_dict = {
'tbd': "To be done",
'NA': "Not available",
'senital': "Senital Node",
'axillary': "Axillary Node",
'senital_axillary': "Senital and axillary",
'other': "Other"
}
level_lymph_node_excised_dict = {
'tbd': "To be done",
'NA': "Not available",
'1': "Level 1",
'2': "Level 2",
'3': "Level 3",
'other': "other"
}
post_surgery_plan_dict = {
'tbd': "To be done",
'NA': "Not available",
'chemotherapy': "Chemotherapy",
'radiology': "Radiology",
'other': "Other"
}
intervention_type_dict = {
'tbd': "To be done",
'NA': "Not available",
'surgical': "Surgical",
'non_surgical': "Non Surgical"
}
location_recurrence_dict = {
'tbd': "To be done",
'NA': "Not available",
'loco_regional': "Loco regional",
'breast': "Breast",
'axilla': "Axilla",
'distant': "Distant",
'other': "Other"
}
labelling_senitinel_node_dict = {
'tbd': "To be done",
'NA': "Not done",
'isotope': "Isotope",
'blue_dye': "Blue dye",
'isotope_blue_dye': "Isotope and Blue dye",
'other': "Other"
}
location_of_lesion_choice = CommonDict.generate_choice(
location_of_lesion_dict)
incision_choice = CommonDict.generate_choice(incision_dict)
masectomy_type_choice = CommonDict.generate_choice(masectomy_type_dict)
type_of_surgery_ibr_choice = CommonDict.generate_choice(
type_of_surgery_ibr_dict)
implant_used_choice = CommonDict.generate_choice(implant_used_dict)
type_of_surgery_cbs_choice = CommonDict.generate_choice(
type_of_surgery_cbs_dict)
type_of_conventional_surgery_choice = CommonDict.generate_choice(
type_of_conventional_surgery_dict)
level_oncoplastic_choice = CommonDict.generate_choice(
level_oncoplastic_dict)
type_levelone_oncoplastic_choice = CommonDict.generate_choice(
type_levelone_oncoplastic_dict)
type_flap_used_oncoplastic_levelone_choice = CommonDict.generate_choice(
type_flap_used_oncoplastic_levelone_dict)
type_therapeytic_type_leveltwo_oncoplastic_choice = CommonDict.generate_choice(
type_therapeytic_type_leveltwo_oncoplastic_dict)
plan_simple_therapeutic_choice = CommonDict.generate_choice(
plan_simple_therapeutic_dict)
pedicle_type_simple_therapeutic_choice = CommonDict.generate_choice(
pedicle_type_simple_therapeutic_dict)
tumour_filled_by_extreme_therapeutic_choice = CommonDict.generate_choice(
tumour_filled_by_extreme_therapeutic_dict)
flap_used_levelthree_choice = CommonDict.generate_choice(
flap_used_levelthree_dict)
type_of_surgery_contralateral_choice = CommonDict.generate_choice(
type_of_surgery_contralateral_dict)
primary_pedicle_extreme_therapeutic_choice = CommonDict.generate_choice(
primary_pedicle_extreme_therapeutic_dict)
secondary_pedicle_extreme_therapeutic_choice = CommonDict.generate_choice(
secondary_pedicle_extreme_therapeutic_dict)
nodes_guided_by_choice = CommonDict.generate_choice(nodes_guided_by_dict)
sample_sent_from_choice = CommonDict.generate_choice(sample_sent_from_dict)
nodes_excised_choice = CommonDict.generate_choice(nodes_excised_dict)
level_lymph_node_excised_choice = CommonDict.generate_choice(
level_lymph_node_excised_dict)
post_surgery_plan_choice = CommonDict.generate_choice(
post_surgery_plan_dict)
intervention_type_choice = CommonDict.generate_choice(
intervention_type_dict)
location_recurrence_choice = CommonDict.generate_choice(
location_of_lesion_dict)
labelling_senitinel_node_choice = CommonDict.generate_choice(
labelling_senitinel_node_dict)
class BiopsyDict():
def __init__(self, key, value):
self.key = key
self.value = value
biopsy_reason_dict = {
'tbd': "To be filled",
'diagnostic': "Diagnostic",
'follow_up': "Follow-up",
'nact_follow-up': "NACT follow up",
'recurrence': "Recurrence",
'other': "Other"
}
biopsy_site_dict = {
'tbd': "To be filled",
'left_breast': "Left Breast",
'right_breast': "Right Breast",
'left_axillary': "Left Axillary",
'right_axillary': "Right Axillary",
'other': "Other"
}
biopsy_block_id_dict = {
'tbd': "To be filled",
'physically_present_at_pccm':
"If the blocks are physically present at PCCM enter the block id from the blocks",
'not_physically_present_at_pccm':
"If the blocks are not physically present at PCCM enetr the block ID from the biopsy report",
'no_source_of_block':
"If there is no source for the block ID mention as requires follow up",
'other': "Other"
} #major doubt
biopsy_block_source_dict = {
'tbd': "To be filled",
'ag_diagnostics': "A.G. Diagnostics",
'ruby_hall_clinic': "Ruby Hall Clinic",
'srl_pathlab': "SRL Pathlab",
'golwilkar_lab': "Golwilkar Lab",
'other': "Other"
}
biopsy_type_dict = {
'tbd': "To be filled",
"direct": "Direct",
"usg_guided": "USG Guided",
"vab": "VAB",
"trucut": "Tru-cut",
"stereo": "Steriotactic",
'other': "Other"
}
biopsy_custody_pccm_dict = {
'tbd': "To be filled",
"Y": "In PCCM Custody",
"N": "Not in PCCM custody"
}
tumour_grade_dict = {
'tbd': "To be filled",
"1": 'Grade 1',
"2": "Grade 2",
"3": "Grade 3"
}
lymphovascular_emboli_dict = {
'tbd': "To be filled",
"Y": "Lymphovascular Emboli Seen",
"N": "No Lymphovascular Emboli Seen",
'report': 'Not mentioned in Report',
'other': 'Other'
}
dcis_biopsy_dict = {
'tbd': "To be filled",
"Y": "DCIS seen",
"N": "DCIS not seen",
'report': 'Not mentioned in Report',
'other': 'Other'
}
tumour_er_dict = {
'tbd': "To be filled",
"pos": "Positive",
"neg": "Negative",
'report': 'Not mentioned in Report',
'other': 'Other'
}
tumour_pr_dict = {
'tbd': "To be filled",
"pos": "Positive",
"neg": "Negative",
'report': 'Not mentioned in Report',
'other': 'Other'
}
tumour_her2_dict = {
'tbd': "To be filled",
"pos": "Positive",
"eqv": "Equivocal",
"neg": "Negative",
'report': 'Not done',
'other': 'Other'
}
tumor_biopsy_fish_dict = {
'tbd': "To be filled",
'positive': "Positive",
'negetive': "Negetive",
'not_done': "Not Done",
'other': 'Other'
}
fnac_dict = {
'tbd': "To be filled",
"Y": "Done",
"N": "Not Done",
'report': 'Not mentioned in Report',
'other': 'Other'
}
fnac_location_dict = {
'tbd': "To be filled",
"rb": "Right",
"lb": "Left",
"both": "Both",
'report': 'Not mentioned in Report',
'other': 'Other'
}
fnac_diagnosis_dict = {
'tbd': "To be filled",
"normal": "Normal",
"benign": "Benign",
"malignant": "Malignant",
'report': 'Not mentioned in Report',
'other': 'Other'
}
surgery_type_dict = {
'bcs': "Breast Conservation Surgery (BCS)",
'tm': "Therapeutic Mammoplasty",
'rm': "Reduction Mammoplasty",
'reconstruction': "Reconstruction",
'reco-mastectomy': "Reconstruction: Mastectomy",
'reco:mrm': "Reconstruction: Modified Radical Mastectomy",
'reco:implant': "Reconstruction: Implant",
'wle': "Wide Local Excision",
'other': "Other",
}
surgery_diagnosis_dict = {
'tbd': "To be filled",
'dcis': "Ductal carcinoma in situ",
"lcs": "Lobular Carcinoma in Situ (LCS)",
"idc": "Invasive Ductal Carcinoma (IDC)",
'ilc': "Invasive Lobular Carcinoma (ILC)",
'gm': "Granulamatous Mastitis",
'papc': "Papillary Carcinoma",
'phyc': "Phylloid Carcinoma",
'imc': "Invasive Mammary Carcinoma",
'ibc': "Invasive Breast Carcinoma",
'other': 'Other'
}
lymphovascular_invasion_dict = {
'tbd': "To be filled",
'seen': "Seen",
'not_seen': "Not seen",
'data_not_entered': "Data not entered",
'other': "Other"
}
pathological_staging_pt_dict = {
'tbd': "To be filled",
'1': "1",
'2': "2",
'3': "3",
'4': "4",
'other': "Other"
}
pathological_staging_m_dict = {
'tbd': "To be filled",
'0': "0",
'1': "1",
'other': "Other"
}
pathological_staging_p_stage_dict = {
'tbd': "To be filled",
'1': "1",
'2': "2",
'3': "3",
'other': "Other"
}
nact_naht_dict = {
'tbd': "To be filled",
'nact': "NACT",
'naht': "NAHT",
'both': "Both",
'none': "None",
'other': "Other"
}
surgery_dict = {
'tbd': "To be filled",
'yes': "Yes",
'no': "No",
'not_done': "Not done",
'other': "Other"
}
biopsy_reason_choice = CommonDict.generate_choice(biopsy_reason_dict)
biopsy_site_choice = CommonDict.generate_choice(biopsy_site_dict)
biopsy_block_id_choice = CommonDict.generate_choice(biopsy_block_id_dict)
biopsy_block_source_choice = CommonDict.generate_choice(
biopsy_block_source_dict)
biopsy_type_choice = CommonDict.generate_choice(biopsy_type_dict)
biopsy_custody_pccm_choice = CommonDict.generate_choice(
biopsy_custody_pccm_dict)
tumour_grade_choice = CommonDict.generate_choice(tumour_grade_dict)
lymphovascular_emboli_choice = CommonDict.generate_choice(
lymphovascular_emboli_dict)
dcis_biopsy_choice = CommonDict.generate_choice(dcis_biopsy_dict)
tumour_er_choice = CommonDict.generate_choice(tumour_er_dict)
tumour_pr_choice = CommonDict.generate_choice(tumour_pr_dict)
tumour_her2_choice = CommonDict.generate_choice(tumour_her2_dict)
tumor_biopsy_fish_choice = CommonDict.generate_choice(
tumor_biopsy_fish_dict)
fnac_choice = CommonDict.generate_choice(fnac_dict)
fnac_location_choice = CommonDict.generate_choice(fnac_location_dict)
fnac_diagnosis_choice = CommonDict.generate_choice(fnac_diagnosis_dict)
surgery_type_choice = CommonDict.generate_choice(surgery_type_dict)
surgery_diagnosis_choice = CommonDict.generate_choice(
surgery_diagnosis_dict)
lymphovascular_invasion_choice = CommonDict.generate_choice(
lymphovascular_invasion_dict)
pathological_staging_pt_choice = CommonDict.generate_choice(
pathological_staging_pt_dict)
pathological_staging_m_choice = CommonDict.generate_choice(
pathological_staging_m_dict)
pathological_staging_p_stage_choice = CommonDict.generate_choice(
pathological_staging_p_stage_dict)
nact_naht_choice = CommonDict.generate_choice(nact_naht_dict)
surgery_choice = CommonDict.generate_choice(surgery_dict)