89674Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.
89674Department of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Technol Cancer Res Treat. 2022 Jan-Dec;21:15330338221086411. doi: 10.1177/15330338221086411.
Lung cancer histologic types and subtypes are closely associated with treatment selection and prognosis prediction. In this study, we aim to evaluate the suitability of computed tomography-guided percutaneous core needle biopsy (CT-guided PCNB) in typing and subtyping lung cancer. From August 2007 to December 2015, the patients who underwent CT-guided PCNB and lung lesion resection were retrospectively collected and analyzed. All pathological sections were reassessed in consensus by 2 junior pathologists (group A) and 2 senior pathologists (group B), respectively. All cases were diagnosed on 3 levels: first, malignant and benign diagnosis; second, histologic types diagnosis; and third, histologic subtypes diagnosis and compared with surgery results. Pearson chi-square test was used to compare the differences of diagnostic accuracy between pathologists in group A and group B. A cohort of 160 patients was included in this study. On the first level, the diagnostic accuracy was 90.63% (group A) and 94.38% (group B), ( = .20). On the second level, the diagnostic accuracy for malignant lesions, adenocarcinoma (ADC), and squamous cell carcinoma (SQC) were, respectively, 72.66%, 84.72%, and 69.05% (group A) and 76.98%, 90.28%, and 71.43% (group B) ( > .05). On the third level, the diagnostic accuracy for ADC subtypes were 26.39% (group A) and 55.56% (group B) ( < 0.01); for SQC subtypes were 28.57% (group A) and 38.10% (group B) ( = 0.36). Small specimens obtained by CT-guided PCNB were suitable for the diagnosis of lung cancer histologic types, which may contribute to the selection of a suitable treatment strategy for the unresectable lung cancers. While for the diagnosis of subtypes, discussion with experienced pathologists was recommended.
肺癌的组织学类型和亚型与治疗选择和预后预测密切相关。本研究旨在评估 CT 引导下经皮穿刺活检(CT 引导下 PCNB)在肺癌分型和亚型中的适用性。
回顾性收集并分析了 2007 年 8 月至 2015 年 12 月期间接受 CT 引导下 PCNB 和肺部病变切除术的患者。由 2 名初级病理学家(A 组)和 2 名高级病理学家(B 组)分别对所有病理切片进行共识重新评估。所有病例的诊断分为 3 个层次:首先是良恶性诊断;其次是组织学类型诊断;最后是组织学亚型诊断,并与手术结果进行比较。采用 Pearson χ2 检验比较 A 组和 B 组病理学家诊断准确性的差异。
本研究共纳入 160 例患者。在第一层次上,诊断准确率分别为 90.63%(A 组)和 94.38%(B 组)(=0.20)。在第二层次上,恶性病变、腺癌(ADC)和鳞状细胞癌(SQC)的诊断准确率分别为 72.66%、84.72%和 69.05%(A 组)和 76.98%、90.28%和 71.43%(B 组)(>0.05)。在第三层次上,ADC 亚型的诊断准确率分别为 26.39%(A 组)和 55.56%(B 组)(<0.01);SQC 亚型的诊断准确率分别为 28.57%(A 组)和 38.10%(B 组)(=0.36)。
CT 引导下 PCNB 获得的小标本适用于肺癌组织学类型的诊断,这可能有助于为不可切除的肺癌选择合适的治疗策略。而对于亚型的诊断,建议与经验丰富的病理学家进行讨论。