Effect of Increased Sampling on Prognostic Parameters in Large (>3 cm) Lung Tumors: A Study on Macroscopic Standardization
Sampling Density in Large Lung Tumors
DOI:
https://doi.org/10.5281/zenodo.21227833Keywords:
Lung Neoplasms, Gross Examination, Biopsy, Lymphatic MetastasisAbstract
Objective: Adequate macroscopic sampling is vital for accurate staging in non-small cell lung carcinomas. This study compares the concordance of 1 (standard) versus 2 blocks per centimeter sampling on detecting tumor subtype, lymphovascular invasion, and perineural invasion in lung tumor resections with a diameter greater than 3 cm.
Methods: Twenty lung resection specimens with a tumor diameter greater than 3 cm, processed between 2016 and 2019, were included. Samples were taken at 1 block per centimeter followed by a 2nd block per centimeter using a double-blind method. Two pathologists evaluated histological type, lymphovascular invasion, and perineural invasion. Fisher’s Exact, Cohen’s Kappa concordance coefficient, the McNemar test, and the Mann-Whitney U test were used for statistical analysis.
Results: Cases comprised 80% squamous cell carcinoma and 20% adenocarcinoma. Squamous cell carcinoma cases had significantly larger mean diameters (p=0.029). Histological subtyping showed complete concordance (100%; κ=1.000). High concordance (κ=0.857) was observed for perineural invasion. Lymphovascular invasion detection showed only moderate concordance (κ=0.500); lymphovascular invasion was identified in 10% of cases with standard sampling versus 25% with extended sampling. This 2.5-fold increase in detection did not reach statistical significance on paired testing in this pilot cohort (McNemar p=0.25).
Conclusion: Sampling 1 block per centimeter is sufficient for histological subtyping. However, standard sampling shows reduced sensitivity for lymphovascular invasion, a critical prognostic factor. We recommend taking at least 2 samples per centimeter in tumors larger than 3 cm to reduce the risk of false-negative lymphovascular invasion reporting and to support accurate staging and appropriate adjuvant treatment decisions.
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