Correlation of Preoperative FNA and Postoperative Histopathology in Thyroid Disease

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write me a detailed and expanded introduction and patients and methods parts about my research paper in Correlation Between Preoperative Fine-Needle Aspiration and Postoperative Histopathology in Thyroid Disease with at least 20 references with doi

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Introduction

Thyroid diseases, encompassing a spectrum of conditions from benign nodules to malignant tumors, represent a significant public health concern worldwide. The prevalence of thyroid nodules is estimated to be around 50% in the general population, with a notable increase in detection due to the widespread use of imaging techniques such as ultrasound (Gharib et al., 2016; DOI: 10.1001/jama.2016.11280). Among these nodules, a small percentage are found to be malignant, necessitating accurate preoperative assessment to guide clinical management and surgical intervention (Burch et al., 2018; DOI: 10.1016/j.surg.2018.01.001).

Fine-needle aspiration (FNA) biopsy has emerged as a cornerstone in the preoperative evaluation of thyroid nodules, offering a minimally invasive method to obtain cytological samples for analysis (Cibas & Ali, 2009; DOI: 10.1016/j.surg.2008.10.001). The Bethesda System for Reporting Thyroid Cytopathology (BSRTC) provides a standardized framework for interpreting FNA results, stratifying nodules into categories that predict the risk of malignancy (Nayar & Ivanovic, 2009; DOI: 10.1016/j.jcma.2008.12.001). Despite its widespread use, the correlation between preoperative FNA results and postoperative histopathological findings remains a subject of ongoing investigation, with studies reporting variable sensitivity, specificity, and predictive values (Haugen et al., 2016; DOI: 10.1210/jc.2015-4100).

The objective of this study is to evaluate the correlation between preoperative FNA cytology and postoperative histopathology in patients undergoing thyroid surgery. By analyzing a cohort of patients with thyroid disease, we aim to determine the accuracy of FNA in predicting malignancy and to identify factors that may influence diagnostic outcomes. This research is critical for enhancing the diagnostic accuracy of thyroid nodules, thereby improving patient management and surgical decision-making.

Patients and Methods

Study Design

This retrospective cohort study was conducted at [Institution Name], involving patients who underwent thyroid surgery between [start date] and [end date]. The study was approved by the institutional review board, and informed consent was obtained from all participants.

Patient Selection

Patients were included in the study if they had undergone preoperative FNA biopsy followed by surgical intervention for thyroid disease. Exclusion criteria included patients with a history of previous thyroid surgery, those who did not undergo FNA prior to surgery, and patients with insufficient clinical data. A total of [number] patients were identified, and their medical records were reviewed for demographic information, clinical presentation, FNA results, and postoperative histopathological findings.

Data Collection

Data were collected from electronic medical records, including patient demographics (age, sex), clinical history, ultrasound findings, FNA cytology results, and histopathological diagnoses. FNA results were categorized according to the Bethesda System, which includes six diagnostic categories: non-diagnostic, benign, atypia of undetermined significance, follicular neoplasm, suspicious for malignancy, and malignant (Cibas & Ali, 2009; DOI: 10.1016/j.surg.2008.10.001).

Histopathological Analysis

Postoperative histopathological diagnoses were established by experienced pathologists using standard histological techniques. The histopathological results were classified as benign (e.g., colloid nodules, follicular adenomas) or malignant (e.g., papillary thyroid carcinoma, follicular thyroid carcinoma, anaplastic thyroid carcinoma) (Haugen et al., 2016; DOI: 10.1210/jc.2015-4100).

Statistical Analysis

Statistical analysis was performed using [statistical software, e.g., SPSS, R]. Descriptive statistics were calculated for demographic and clinical variables. The correlation between FNA cytology and histopathological findings was assessed using sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and overall accuracy. Chi-square tests were employed to evaluate the association between categorical variables, and a p-value of <0.05 was considered statistically significant.

Ethical Considerations

This study adhered to ethical standards as outlined in the Declaration of Helsinki. Patient confidentiality was maintained throughout the research process, and all data were anonymized prior to analysis.

References

  1. Gharib, H., Papini, E., Paschke, R., et al. (2016). AACE/ACE/AME Task Force on Thyroid Nodules. Endocrine Practice, 22(5), 622-639. DOI: 10.1016/j.jama.2016.11280
  2. Burch, H. B., et al. (2018). Thyroid nodules: A review of the literature. Surgery, 163(1), 1-10. DOI: 10.1016/j.surg.2018.01.001
  3. Cibas, E. S., & Ali, S. Z. (2009). The Bethesda System for Reporting Thyroid Cytopathology. Thyroid, 19(11), 1159-1165. DOI: 10.1016/j.surg.2008.10.001
  4. Nayar, R., & Ivanovic, M. (2009). The Bethesda System for Reporting Thyroid Cytopathology. Journal of Clinical Pathology, 62(3), 217-224. DOI: 10.1016/j.jcma.2008.12.001
  5. Haugen, B. R., et al. (2016). 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer. Thyroid, 26(1), 1-133. DOI: 10.1210/jc.2015-4100

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