Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 414

The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.

Diagnosis of Lung Cancer in Small Biopsies and Cytology: Implications of the 2011 International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society Classification

Open access
Travis, William D., Brambilla, Elisabeth, Noguchi, Masayuki, Nicholson, Andrew G., Geisinger, Kim, Yatabe, Yasushi, Ishikawa, Yuichi, Wistuba, Ignacio, Flieder, Douglas B., Franklin, Wilbur, Gazdar, Adi, Hasleton, Philip S., Henderson, Douglas W., Kerr, Keith M., Petersen, Iver, Roggli, Victor, Thunnissen, Erik, Tsao, Ming·2013·Archives of Pathology and Laboratory Medicine

Abstract

The new International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society lung adenocarcinoma classification provides, for the first time, standardized terminology for lung cancer diagnosis in small biopsies and cytology; this was not primarily addressed by previous World Health Organization classifications. Until recently there have been no therapeutic implications to further classification of NSCLC, so little attention has been given to the distinction of adenocarcinoma and squamous cell carcinoma in small tissue samples. This situation has changed dramatically in recent years with the discovery of several therapeutic options that are available only to patients with adenocarcinoma or NSCLC, not otherwise specified, rather than squamous cell carcinoma. This includes recommendation for use of special stains as an aid to diagnosis, particularly in the setting of poorly differentiated tumors that do not show clear differentiation by routine light microscopy. A limited diagnostic workup is recommended to preserve as much tissue for molecular testing as possible. Most tumors can be classified using a single adenocarcinoma marker (eg, thyroid transcription factor 1 or mucin) and a single squamous marker (eg, p40 or p63). Carcinomas lacking clear differentiation by morphology and special stains are classified as NSCLC, not otherwise specified. Not otherwise specified carcinomas that stain with adenocarcinoma markers are classified as NSCLC, favor adenocarcinoma, and tumors that stain only with squamous markers are classified as NSCLC, favor squamous cell carcinoma. The need for every institution to develop a multidisciplinary tissue management strategy to obtain these small specimens and process them, not only for diagnosis but also for molecular testing and evaluation of markers of resistance to therapy, is emphasized.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.5858/arpa.2012-0263-ra

Cites

82 of 82 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 82 references

Cited by

See all 414

Metadata

Authors
Travis, W. D., Brambilla, E., Noguchi, M., Nicholson, A. G., Geisinger, K., Yatabe, Y., Ishikawa, Y., Wistuba, I., Flieder, D. B., Franklin, W., Gazdar, A., Hasleton, P. S., Henderson, D. W., Kerr, K. M., Petersen, I., Roggli, V., Thunnissen, E., & Tsao, M.
Venue
Archives of Pathology and Laboratory Medicine
Published
2013-05
Volume
137
Issue
5
Pages
668-684
ISSN
  • 0003-9985 (ISSN-L)
  • 1543-2165
OpenAlex
W2029852405
Cited by
414
References
82
FWCI
28.22
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Diagnosis of Lung Cancer in Small Biopsies and Cytology: Implications of the 2011 International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society Classification. https://app.cochat.ai/papers/10.5858/arpa.2012-0263-ra
The paper
Travis, W. D., Brambilla, E., Noguchi, M., Nicholson, A. G., Geisinger, K., Yatabe, Y., Ishikawa, Y., Wistuba, I., Flieder, D. B., Franklin, W., Gazdar, A., Hasleton, P. S., Henderson, D. W., Kerr, K. M., Petersen, I., Roggli, V., Thunnissen, E., & Tsao, M. (2013). Diagnosis of Lung Cancer in Small Biopsies and Cytology: Implications of the 2011 International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society Classification. Archives of Pathology and Laboratory Medicine. https://doi.org/10.5858/arpa.2012-0263-ra

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.