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Cited by 165Lung Cancer Diagnosis and TreatmentMedical Imaging Techniques and ApplicationsRadiomics and Machine Learning in Medical Imaging

Relationship Between Non-small Cell Lung Cancer FDG Uptake at PET, Tumor Histology, and Ki-67 Proliferation Index

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Vesselle, Hubert, Salskov, Alexander, Turcotte, Eric, Wiens, Linda, Schmidt, Rodney, Jordan, C Diana, Vallières, Eric, Wood, Douglas E.·2008·Journal of Thoracic Oncology
DOI 10.1097/jto.0b013e31818307a7
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Abstract

Introduction We compared primary non-small cell lung cancer (NSCLC) F-fluorodeoxyglucose (FDG) uptake at positron emission tomography (PET) to tumor histologic features and Ki-67 proliferation index. This large, prospectively-recruited patient cohort has previously been analyzed based on differences in FDG uptake across stage groups; the current analysis adds further dimensions to this characterization. Materials and methods One hundred seventy-eight patients with potentially-resectable NSCLC were scanned with FDG PET before therapy. A partial volume correction algorithm was used to correct FDG uptake values for their dependence on tumor size. Primary tumor resection specimens, core biopsies, and biopsies of metastatic lymph nodes were used to assess each tumor's NSCLC histologic subtype, degree of differentiation, and Ki-67 proliferation index. Results Bronchioalveolar carcinomas were found to have lower FDG uptake at PET and lower Ki-67 scores than any other histologic subtype. Non-bronchioalveolar adenocarcinomas had lower FDG uptake and Ki-67 scores than squamous cell carcinomas or large cell undifferentiated carcinomas. Better differentiated NSCLCs had lower FDG uptake and Ki-67 scores than more poorly differentiated NSCLCs. There was a significant positive correlation between FDG uptake and Ki-67 scores. Partial volume correction increased the strength of this correlation, while also diminishing the strong positive correlation between FDG uptake and tumor size. Conclusions There are significant differences in NSCLC FDG uptake across histologic subtypes and differentiation groups. These differences parallel nearly identical differences in Ki-67 scores, implying that differences in NSCLC tumor cell proliferation may give rise to commensurate differences in tumor glucose metabolism.

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  • In oncology, [18F]FDG's lack of specificity hampers the differentiation between benign lesions and well-differentiated malignant lesions with low [18F]FDG avidity.

    “or benign lesions and well-differentiated malignant lesions with low [18F]FDG avidity [122,123,124,125].”

    From Influences on PET Quantification and Interpretation (2022) · cites this paper as [124]

    The FDG PET results report lower uptake in well-differentiated non-small cell lung cancers. The paper does not assess benign lesions or show that low uptake hampers differentiation between benign and malignant lesions; its evidence supports only the low-avidity part of the claim. (LLM, conf=0.86)

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Research works printed but not linked: 4

  1. Ahuja V, Coleman RE, Herndon J, Patz EF Jr. The prognostic significance of fluorodeoxyglucose positron emission tomography imaging for patients with nonsmall cell lung carcinoma. Cancer 1998;83:918 -924.
  2. Kohlmyer SG, Vesselle H, Miyaoka RS, Kaplan MS, Lewellen TK. Comparison of recovery coefficients for PET based on maximum and average ROI pixel values. Eur J Nuclear Med 2000;27:977.
  3. Shiba M, Kohno H, Kakizawa K, et al. Ki-67 immunostaining and other prognostic factors including tobacco smoking in patients with resected nonsmall cell lung carcinoma. Cancer 2000;89:1457-1465.
  4. Higashi K, Ueda Y, Sakurai A, et al. Correlation of Glut-1 glucose transporter expression with. Eur J Nucl Med 2000;27:1778 -1785.

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Authors
Vesselle, H., Salskov, A., Turcotte, E., Wiens, L., Schmidt, R., Jordan, C. D., Vallières, E., & Wood, D. E.
Affiliations
University of Washington (US)
Corresponding author
Vesselle, Hubert
ORCID
Venue
Journal of Thoracic Oncology
Publisher
Elsevier BV
Published
2008-09
Volume
3
Issue
9
Pages
971-978
ISSN
1556-0864 (ISSN-L)
DOI
10.1097/jto.0b013e31818307a7
OpenAlex
W1979039258
Cited by
165
References
50
Citations by year
2026: 3 · 2025: 3 · 2024: 6 · 2023: 9 · 2022: 13 · 2021: 9 · 2020: 9 · 2019: 4 · 2018: 16 · 2017: 7 · 2016: 10 · 2015: 8 · 2014: 13 · 2013: 10 · 2012: 13
FWCI
9.83
Type
journal article
Language
en
Open access
Licence
Locations
  • Journal of Thoracic Oncology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • University of Washington
  • National Cancer Institute (1R01 CA80907, R01CA115559, R01CA080907, R01CA107264)
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Diagnosis and Treatment
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
Keywords
non-small cell lung cancer, FDG uptake, positron emission tomography, Ki-67 proliferation index, tumor histologic subtype, tumor differentiation, bronchioloalveolar carcinoma, adenocarcinoma, squamous cell carcinoma, tumor glucose metabolism, partial volume correction, tumor size
MeSH terms
Adenocarcinoma, Adenocarcinoma, Bronchiolo-Alveolar, Carcinoma, Non-Small-Cell Lung, Carcinoma, Squamous Cell, Female, Humans, Lung Neoplasms, Male, Neoplasm Staging, Prognosis, Prospective Studies, Radiography, Thoracic, Tomography, X-Ray Computed, Biomarkers, Tumor, Cohort Studies, Carcinoma, Large Cell, Radiopharmaceuticals, Ki-67 Antigen, Fluorodeoxyglucose F18, Positron-Emission Tomography

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