Yasin Babar, Saeed Hasan, Ahmad Muhammad Awais, Najam Sara, Niazi Mehwish, Tariq Humza, Khan Allah Yar Yahya, Khaliq Shoaib, Zaidi Syeda Gul E Zehra, Mehmood Qadri Haseeb
Histopathology, Aznostics - The Diagnostic Center, Lahore, PAK.
Histopathology, Shifa International Hospital Islamabad, Islamabad, PAK.
Cureus. 2024 Mar 31;16(3):e57337. doi: 10.7759/cureus.57337. eCollection 2024 Mar.
Background Lung carcinoma is a leading cause of death worldwide. Histological subtype of lung adenocarcinoma is an important indicator of patient's outcome as it is helpful in surgical planning and guidance of prognosis. Objective To determine the diagnostic efficacy of computerized tomography-guided core needle biopsy (CNB) in identifying the histopathological subtype of lung adenocarcinoma. Methods and materials This is a retrospective, descriptive study including clinical data of 73 patients irrespective of their age and gender, who underwent computerized tomography-guided CNB for lung masses at the Department of Pathology, Aznostics - the Diagnostic Centre, Lahore, Pakistan from January 01, 2019 to June 30, 2023. Data collected was analyzed via Google Form (Google Inc., Mountainview, CA) and Statistical Package for Social Sciences (IBM SPSS Statistics for Windows, Version 24, released 2016; IBM Corp., Armonk, New York, United States) and was sent to statistician for descriptive analysis. Categorical data was used for calculating frequency and percentage, while continuous data was computed as mean and standard deviation. Results Seventy-three patients with adenocarcinoma underwent pulmonary biopsy. The mean age of included patients was 64.88 ± 11.39 year with a male predominance of 61.64%. Upper lobe was commonly affected by adenocarcinoma lung in 57.53% patients and 58.90% cases involved the right lung. The most common subtype was acinar with 51.65% followed by solid with 17.58% cases. Computerized tomography-guided CNB showed a diagnostic yield of 75.34% and identified histological subtypes of lung adenocarcinoma in 55 cases. Conclusion Computerized tomography-guided CNB is a useful, yet minimally invasive diagnostic tool to identify the histological subtype of lung adenocarcinoma. It not only helps in planning the surgical and adjuvant management of the patients, but also guides the patient-prognosis.
肺癌是全球主要的死亡原因之一。肺腺癌的组织学亚型是患者预后的重要指标,因为它有助于手术规划和预后指导。目的:确定计算机断层扫描引导下的粗针穿刺活检(CNB)在识别肺腺癌组织病理学亚型方面的诊断效能。方法和材料:这是一项回顾性描述性研究,纳入了2019年1月1日至2023年6月30日期间在巴基斯坦拉合尔阿兹诺思诊断中心病理科接受计算机断层扫描引导下肺肿块CNB检查的73例患者的临床资料,患者年龄和性别不限。收集的数据通过谷歌表单(谷歌公司,加利福尼亚州山景城)和社会科学统计软件包(IBM SPSS Statistics for Windows,版本24,2016年发布;IBM公司,美国纽约州阿蒙克)进行分析,并发送给统计学家进行描述性分析。分类数据用于计算频率和百分比,连续数据计算为均值和标准差。结果:73例腺癌患者接受了肺活检。纳入患者的平均年龄为64.88±11.39岁,男性占比61.64%。57.53%的患者腺癌常见于上叶,58.90%的病例累及右肺。最常见的亚型是腺泡型,占51.65%,其次是实体型,占17.58%。计算机断层扫描引导下的CNB诊断率为75.34%,在55例中识别出肺腺癌的组织学亚型。结论:计算机断层扫描引导下的CNB是一种有用的、微创的诊断工具,可用于识别肺腺癌的组织学亚型。它不仅有助于规划患者的手术和辅助治疗,还能指导患者的预后。