Assessing the Diagnostic Role of Multidetector Computed Tomography in Bronchogenic Carcinoma: Histopathological Correlation and Clinical Insights

Journal Title: Nursing & Healthcare International Journal - Year 2024, Vol 8, Issue 3

Abstract

Background: Lung cancer is a global health issue, and Multi Detector Row Computed Tomography (MDCT) plays a crucial role in diagnosing and staging bronchogenic carcinoma. Purpose: To document bronchogenic carcinoma’s MDCT features and assess CT scan accuracy compared to histopathological diagnosis. Materials and Methods: Between June 2020 and November 2021, 70 patients with suspected bronchogenic carcinoma underwent clinical assessment and 128-slice MDCT scans from lung apices to upper abdomen, including adrenal glands. MDCT findings were compared to histopathological examination. Statistical analysis using SPSS 16 and Excel determined CT’s positive predictive value against histopathological diagnosis as the reference standard. Results: Out of the 70 patients, 41% were female, and 59% were male. Among those with suspected bronchogenic carcinoma in CT, 86% were confirmed as malignant through histological analysis. The mean age of patients with bronchogenic carcinoma was 61.5 years. Squamous cell carcinoma (43%) was the most common histological subtype, followed by adenocarcinoma (38%). There was a notable male predominance (68%) for bronchogenic carcinoma, with distinct patterns observed for different histological subtypes. MDCT exhibited an 86% positive predictive value in diagnosing bronchogenic carcinoma compared to histopathology. Conclusion: Squamous cell carcinoma emerged as the most prevalent subtype of bronchogenic carcinoma, with MDCT demonstrating high diagnostic accuracy. The study advocates for routine MDCT utilization in the diagnosis and staging of bronchogenic carcinoma. Consider limitations like absent interobserver variation and challenges in distinguishing reactive hyperplasia from metastatic lymphadenopathy. Future research could explore potential implications and applications of the study’s findings.

Authors and Affiliations

Paudel S1, Nepal B2, Kayastha P3, Suwal S1 and Katwal S1*

Keywords

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  • EP ID EP748215
  • DOI 10.23880/nhij-16000313
  • Views 36
  • Downloads 1

How To Cite

Paudel S1, Nepal B2, Kayastha P3, Suwal S1 and Katwal S1* (2024). Assessing the Diagnostic Role of Multidetector Computed Tomography in Bronchogenic Carcinoma: Histopathological Correlation and Clinical Insights. Nursing & Healthcare International Journal, 8(3), -. https://europub.co.uk/articles/-A-748215