Literature DB >> 27172103

Diagnostic concordance of non-small cell lung carcinoma subtypes between biopsy and cytology specimens obtained during the same procedure.

Mojgan Ebrahimi1, Manon Auger2, Sungmi Jung1, Richard S Fraser1.   

Abstract

BACKGROUND: The objectives of this study were: 1) to determine the diagnostic concordance of non-small cell lung carcinoma (NSCLC) subtypes in cytology and biopsy specimens taken during the same procedure and evaluate the causes of discordance; and 2) to determine the frequency of immunohistochemistry (IHC) use for subtyping NSCLC.
METHODS: Biopsy and cytology specimens that were obtained at the same procedure and diagnosed as NSCLC between January 2011 and December 2014 at the McGill University Health Center were identified (n = 226 pairs). The diagnostic concordance between the 2 methods was evaluated. The slides from discordant cases were reviewed, and final diagnoses were made based on IHC, resection specimens, or pathologist discussion.
RESULTS: Concordance in subtype diagnosis was perfect (adeno-adeno or squamous-squamous) in 66.2% of cases and was partial (adeno or squamous vs non-small cell) in 23%; discordance (adeno vs squamous) was observed in 7.8%. Although subtyping was not possible (ie, the final diagnosis was NSCLC, not otherwise specified) in 12.8% of biopsy specimens and 16.3% of cytology specimens, specific subtyping was not achieved in only 3% of cases when both modalities were considered. IHC was used in 47% of biopsy cases and 13% of cytology cases.
CONCLUSIONS: Subtyping of NSCLC can be achieved in most cases (97%) by considering findings in both biopsy and cytology specimens, and concordance in subtyping between cytology and biopsy specimens can be reached in a high percentage of cases (89.2%). Cancer Cytopathol 2016;124:737-43.
© 2016 American Cancer Society. © 2016 American Cancer Society.

Entities:  

Keywords:  biopsy; concordance; cytology; lung; non-small cell lung carcinoma (NSCLC)

Mesh:

Year:  2016        PMID: 27172103     DOI: 10.1002/cncy.21739

Source DB:  PubMed          Journal:  Cancer Cytopathol        ISSN: 1934-662X            Impact factor:   5.284


  4 in total

1.  Intratumoral and peritumoral CT-based radiomics strategy reveals distinct subtypes of non-small-cell lung cancer.

Authors:  Xing Tang; Haolin Huang; Peng Du; Lijuan Wang; Hong Yin; Xiaopan Xu
Journal:  J Cancer Res Clin Oncol       Date:  2022-04-17       Impact factor: 4.322

2.  Comprehensive and Computable Molecular Diagnostic Panel (C2Dx) From Small Volume Specimens for Precision Oncology: Molecular Subtyping of Non-Small Cell Lung Cancer From Fine Needle Aspirates.

Authors:  Jing Su; Lynn S Huang; Ryan Barnard; Graham Parks; James Cappellari; Christina Bellinger; Travis Dotson; Lou Craddock; Bharat Prakash; Jonathan Hovda; Hollins Clark; William Jeffrey Petty; Boris Pasche; Michael D Chan; Lance D Miller; Jimmy Ruiz
Journal:  Front Oncol       Date:  2021-04-16       Impact factor: 6.244

3.  Machine learning based on clinico-biological features integrated 18F-FDG PET/CT radiomics for distinguishing squamous cell carcinoma from adenocarcinoma of lung.

Authors:  Caiyue Ren; Jianping Zhang; Ming Qi; Jiangang Zhang; Yingjian Zhang; Shaoli Song; Yun Sun; Jingyi Cheng
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-10-15       Impact factor: 9.236

4.  New insights into spectral histopathology: infrared-based scoring of tumour aggressiveness of squamous cell lung carcinomas.

Authors:  Vincent Gaydou; Myriam Polette; Cyril Gobinet; Claire Kileztky; Jean-François Angiboust; Philippe Birembaut; Vincent Vuiblet; Olivier Piot
Journal:  Chem Sci       Date:  2019-03-05       Impact factor: 9.825

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.