EVALUATION OF RADIOLOGICAL UNION OF CALVARIA FOLLOWING CRANIOTOMY
INTRODUCTION This is an Am bidirectional observational study. Study population is the patients who have undergone craniotomy for any indication in the department of neurosurgery of CH (EC) from September 2016 to Aug 2019. A list of patients who have undergone NCCT/CECT head during their follow up period, due to any clinical indication, drawn. All such patients interviewed and clinically examined for pain at the craniotomy site. AIMS AND OBJECTIVES The incidence of non-union was Correlation between non-union and predisposing factors via primary pathology, fixation technique, age, sex, comorbidities such as DM, TB and radiotherapy. Correlation with postoperative headache MATERIALS AND METHODS Study area Command Hospital Eastern Command. Study population- Patients who have undergone craniotomy for any indication in the department of neurosurgery of CH (EC) from September 2016 to Aug 2019. Sample size is the number of patients who have undergone CT Scan evaluation based on clinical indications in the post operative period. Am bidirectional observational study RESULT AND ANALYSIS We showed that in ICSOL was significantly in higher non union and bad union patients; Head Injury was significantly higher in good union patients. It was found that carcinoma patients were higher in non union and bad union which was statistically significant. Radiation patients were higher in good union which was statistically significant. Present study found that Post-Op Headache was significantly higher in non union and bad union and mean Rate of union was higher in good union. Association of Fixation Technique with Non Union, Good Union and Bad Union was statistically significant. CONCLUSION We can conclude that patients are more likely to have their craniotomy fuse if they did not undergo radiation treatment or have sutures secure the free flap. Craniotomy fusion rates after free flap increases steadily over time, as expected. We were not able to demonstrate that clinical factors such as age, sex, BMI, diagnosis, fixation material, and radiation have an impact on fusion rate when time to fusion was considered.