Correlation between tumor measurement on Computed Tomography and resected specimen size in lung adenocarcinomas Journal Article


Authors: Lampen Sachar, K.; Zhao, B.; Zheng, J.; Moskowitz, C. S.; Schwartz, L. H.; Zakowski, M. F.; Rizvi, N. A.; Kris, M. G.; Ginsberg, M. S.
Article Title: Correlation between tumor measurement on Computed Tomography and resected specimen size in lung adenocarcinomas
Abstract: Objective: To compare preoperative size of stage I and stage II lung adenocarcinoma as measured by Computed Tomography (CT) and as assessed on gross pathology specimens. Materials and methods: 47 patients diagnosed with stage I or II lung adenocarcinoma were evaluated. Institutional Review Board permission was obtained. Tumor contours were delineated using a semi-automated segmentation algorithm and adjusted based on a radiologist's input. Based on the tumor perimeter, maximal in-plane tumor diameter was calculated automatically. The largest single diameter from the pathology gross report was utilized. A paired t-test was used to examine the measurement difference between CT and pathology. Results: The mean largest diameter of the tumors at CT and pathology was 29.53. mm and 24.04. mm, respectively. There was a statistically significant difference between the mean CT measurement and mean pathology measurement of 5.49. mm (standard deviation 9.08. mm, p< 0.001). The percent relative difference between the two measurements was 18.3% (standard deviation 28.2%). Conclusion: There is a statistically significant difference between the tumor diameter as measured by CT and on pathology gross specimen. These differences could have implications in the treatment and prognosis of patients with early stage lung adenocarcinoma. © 2011 Elsevier Ireland Ltd.
Keywords: clinical article; controlled study; cancer surgery; cancer staging; staging; neoplasm staging; adenocarcinoma; computer assisted tomography; tumor volume; lung neoplasms; lung cancer; tomography, x-ray computed; algorithms; correlation analysis; lung adenocarcinoma; algorithm; non-small cell lung cancer; student t test; computed tomography; institutional review; pathology measurement; t descriptor
Journal Title: Lung Cancer
Volume: 75
Issue: 3
ISSN: 0169-5002
Publisher: Elsevier Ireland Ltd.  
Date Published: 2012-03-01
Start Page: 332
End Page: 335
Language: English
DOI: 10.1016/j.lungcan.2011.08.001
PROVIDER: scopus
PUBMED: 21890229
PMCID: PMC4441034
DOI/URL:
Notes: --- - "Export Date: 1 March 2012" - "CODEN: LUCAE" - "Source: Scopus"
Altmetric Score
MSK Authors
  1. Junting Zheng
    133 Zheng
  2. Michelle S Ginsberg
    160 Ginsberg
  3. Naiyer A Rizvi
    157 Rizvi
  4. Chaya S. Moskowitz
    174 Moskowitz
  5. Maureen F Zakowski
    280 Zakowski
  6. Mark Kris
    615 Kris