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Relationship Between Non-small Cell Lung Cancer FDG Uptake at PET, Tumor Histology, and Ki-67 Proliferation Index
Open accessAbstract
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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“or benign lesions and well-differentiated malignant lesions with low [18F]FDG avidity [122,123,124,125].”
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Cites
Jemal, A., Siegel, R. L., Ward, E. M., Murray, T., Xu, J., Smigal, C., & Thun, M. J. (2006) · CA A Cancer Journal for Clinicians · doi:10.3322/canjclin.56.2.106 · Cited by 5,309
Revisions in the International System for Staging Lung Cancer
Mountain, C. F. (1997) · CHEST Journal · doi:10.1378/chest.111.6.1710 · Cited by 4,565
Vinorelbine plus Cisplatin vs. Observation in Resected Non–Small-Cell Lung Cancer
Winton, T. L., Livingston, R. B., Johnson, D. H., Rigas, J. R., Johnston, M., Butts, C. A., Cormier, Y. F., Goss, G., Inculet, R., Vallières, E., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa043623 · Cited by 1,810
Self-citationDwamena, B. A., Sonnad, S. S., Angobaldo, J. O., & Wahl, R. L. (1999) · Radiology · doi:10.1148/radiology.213.2.r99nv46530 · Cited by 648
Imaging proliferation in lung tumors with PET: 18F-FLT versus 18F-FDG.
Buck, A. K., Halter, G., Schirrmeister, H., Kotzerke, J., Wurziger, I., Glatting, G., Mattfeldt, T., Neumaier, B., Reske, S. N., & Hetzel, M. (2003) · PubMed · Cited by 403
Strauss, G. M., Herndon, J. E., Maddaus, M. A., Johnstone, D. W., Johnson, E. A., Watson, D. M., Sugarbaker, D. J., Schilsky, R. L., & Green, M. R. (2004) · Journal of Clinical Oncology · doi:10.1200/jco.2004.22.14_suppl.7019 · Cited by 380
Key, G., Becker, M., Baron, B., Duchrow, M., Schlüter, C., Flad, H. D., & Gerdes, J. (1993) · PubMed · Cited by 376
Downey, R. J., Akhurst, T., Gönen, M., Vincent, A., Bains, M. S., Larson, S. M., & Rusch, V. W. (2004) · Journal of Clinical Oncology · doi:10.1200/jco.2004.11.109 · Cited by 358
Fluorine-18-FDG PET imaging is negative in bronchioloalveolar lung carcinoma.
Higashi, K., Ueda, Y., Seki, H., Yuasa, K., Oguchi, M., Noguchi, T., Taniguchi, M., Tonami, H., Okimura, T., & Yamamoto, I. (1998) · PubMed · Cited by 351
Vesselle, H. J., Schmidt, R. A., Pugsley, J. M., Li, M., Kohlmyer, S. G., Vallires, E., & Wood, D. E. (2000) · PubMed · Cited by 351
Self-citation
Research works printed but not linked: 2
- Rao, 2000, Prevalence of metastatic disease and impact of PET on management in staging lung cancer: a clinical series of 400 patients, J Nucl Med, 41, 75P
- Kohlmyer, 2000, Comparison of recovery coefficients for PET based on maximum and average ROI pixel values, Eur J Nuclear Med, 27, 977
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Prognostic factors for lymph node metastasis from upper gingival carcinomas
Aldosimani, M. A., Verdonschot, R. G., Iwamoto, Y., Nakazawa, M., Mallya, S. M., Kakimoto, N., Toyosawa, S., Kreiborg, S., & Murakami, S. (2021) · Oral Radiology · doi:10.1007/s11282-021-00568-w · Cited by 5
Correlation of [18F]FDG PET activity with expressions of Ki-67 in non-small-cell lung cancer
Küçükosmanoğlu, İ., Karanis, M. İ. E., Ünlü, Y., & Erol, M. (2022) · Nuclear Medicine Review · doi:10.5603/nmr.a2022.0017 · Cited by 5
Chuang, H. H., Denız, F., Sircar, K., Jiménez, C., Celis, C. R. D., Wood, C. G., & Habra, M. A. (2012) · Journal of Clinical Oncology · doi:10.1200/jco.2011.40.6710 · Cited by 5
Choi, H., Na, K. J., Jung, Y., Lim, M., Lee, D., Lee, J. E., Im, H., Lee, D., Koh, J., & Kim, Y. T. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.16.594592 · Cited by 5
Deshpande, S., Podder, T. K., Grubb, W., Zhang, Y., Zheng, Y., Towe, C. W., Linden, P. A., Avril, N. E., & Biswas, T. (2023) · Advances in Radiation Oncology · doi:10.1016/j.adro.2023.101313 · Cited by 4
Zhao, X., Zhang, Y., & Yu, Y. (2018) · Oncology Letters · doi:10.3892/ol.2018.8748 · Cited by 4
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Aliotta, E., Paudyal, R., Diplas, B. H., Han, J. E., Hu, Y., Oh, J. H., Hatzoglou, V., Jensen, N., Zhang, P., Aristophanous, M., et al. (2024) · Physics and Imaging in Radiation Oncology · doi:10.1016/j.phro.2024.100603 · Cited by 4
Shalaby, S. M. I. Y., Abdel-Aziz, A. M. R., Mansour, M. G. E.-D., & Darwish, E. A. F. (2022) · The Egyptian Journal of Radiology and Nuclear Medicine · doi:10.1186/s43055-022-00906-w · Cited by 4
Takada, K., Toyokawa, G., Azuma, K., Takamori, S., Jogo, T., Hirai, F., Tagawa, T., Kawahara, A., Akiba, J., Okamoto, I., et al. (2018) · In Vivo · doi:10.21873/invivo.11412 · Cited by 4
Zornhagen, K. W., Hansen, A. E., Oxboel, J., Clemmensen, A., Ali, H. H. E., Kristensen, A. T., & Kjær, A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0141379 · Cited by 4
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Erlandsson, K. (2016) · Springer eBooks · doi:10.1007/978-3-319-40070-9_15 · Cited by 4
Choi, S., Kwon, H. R., Cho, H. Y., Pahk, K., Lee, S.-H., Chung, J., Kwon, H. W., & Kim, S. (2018) · Nuclear Medicine and Molecular Imaging · doi:10.1007/s13139-018-0555-4 · Cited by 4
Song, Y. H., Moon, J. W., Kim, Y. N., Woo, J. Y., Son, H. J., Lee, S. H., & Hwang, H. S. (2022) · Diagnostics · doi:10.3390/diagnostics12051292 · Cited by 4
Prionas, N. D., von Eyben, R., Yi, E., Aggarwal, S., Shaffer, J. L., Bazan, J. G., Eastham, D. V., Maxim, P. G., Graves, E. E., Diehn, M., et al. (2018) · Advances in Radiation Oncology · doi:10.1016/j.adro.2018.11.006 · Cited by 3
Sharma, A., Pandey, A., Mohan, A., Bhalla, A. S., Sreenivas, V., Sharma, M. C., Jain, D., Thulkar, S. P., Gupta, P., Bal, C. S., et al. (2018) · Nuclear Medicine Communications · doi:10.1097/mnm.0000000000000923 · Cited by 3
Suda, K., Ohara, S., Fujino, T., Hamada, A., Chiba, M., Shimoji, M., Takemoto, T., Soh, J., & Mitsudomi, T. (2021) · Clinical Lung Cancer · doi:10.1016/j.cllc.2021.10.003 · Cited by 3
Fukuda, Y., Asaoka, T., Eguchi, H., Honma, K., Morii, E., Iwagami, Y., Akita, H., Noda, T., Gotoh, K., Kobayashi, S., et al. (2019) · Surgical Case Reports · doi:10.1186/s40792-019-0621-x · Cited by 3
Kinetic Analysis of 18F-FLT PET in Lung Tumors
Bading, J. R. (2012) · Journal of Nuclear Medicine · doi:10.2967/jnumed.111.097816 · Cited by 3
Wang, Z., Chen, J., Shi, X., Liu, Y., Wang, W., Zheng, G., Zhao, Y., Li, Y., Wang, X., Qiu, D., et al. (2024) · Endocrine · doi:10.1007/s12020-024-04059-w · Cited by 2
Rizvi, S. N. F., Comans, E. F. I., Boellaard, R., van Tinteren, H., & Hoekstra, O. S. (2010) · European Journal of Cancer · doi:10.1016/j.ejca.2010.05.018 · Cited by 2
Nakao, M., Terauchi, T., Oikado, K., Sato, Y., Hashimoto, K., Ichinose, J., Matsuura, Y., Okumura, S., Ninomiya, H., & Mun, M. (2022) · Clinical Lung Cancer · doi:10.1016/j.cllc.2022.10.007 · Cited by 2
Samaras, A.-D., Apostolopoulos, I. D., Moustakidis, S., Papageorgiou, E. I., Papathanasiou, N. D., Apostolopoulos, D. J., & Papandrianos, N. I. (2023) · International Conference on Information, Intelligence, Systems & Applications (IISA) · doi:10.1109/iisa59645.2023.10345893 · Cited by 2
Anai, M., Inoue, H., Saruwatari, K., Oda, S., Shiraishi, S., Akaike, K., Imamura, K., Jodai, T., Sakata, S., Iyama, S., et al. (2024) · Respiratory Investigation · doi:10.1016/j.resinv.2024.09.001 · Cited by 2
Keyhanian, K., & Sekhon, H. S. (2023) · Cancer Medicine · doi:10.1002/cam4.5629 · Cited by 2
Kubicek, G. J., & Heron, D. E. (2011) · PET Clinics · doi:10.1016/j.cpet.2011.02.003 · Cited by 2
Lung Cancer: Positron Emission Tomography/Computed Tomography and the New Staging System
Rakheja, R., Ko, J. P., & Friedman, K. P. (2013) · Seminars in Roentgenology · doi:10.1053/j.ro.2013.05.001 · Cited by 2
Lee, J. Y., Heo, J. H., Han, J., Jang, S. J., Kim, K., Kim, J., Shim, Y.-S., Kim, B.-T., & Choi, J. Y. (2015) · Nuklearmedizin - NuclearMedicine · doi:10.3413/nukmed-0754-15-07 · Cited by 2
Casanova, R., Leblond, A., Wu, C., Haberecker, M., Burger, I. A., & Soltermann, A. (2020) · Lung Cancer · doi:10.1016/j.lungcan.2020.07.003 · Cited by 2
Nie, S., Yu, W., Hu, X., Xu, H., Wen, R., Jiao, W., & Tian, K. (2022) · Journal of Thoracic Disease · doi:10.21037/jtd-22-521 · Cited by 2
Medford, A. R. L. (2012) · Current Respiratory Medicine Reviews · doi:10.2174/157339812803832449 · Cited by 1
Lin, K.-H., Lee, R.-C., Liu, R.-S., & Chang, C.-Y. (2016) · Nuclear Medicine Communications · doi:10.1097/mnm.0000000000000446 · Cited by 1
Huy, H. Q. (2018) · Current Trends in Clinical & Medical Imaging · doi:10.19080/ctcmi.2018.02.555597 · Cited by 1
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Place and Role of PET/CT in the Diagnosis and Staging of Lung Cancer
Kukava, S., & Baramia, M. (2022) · Medical radiology · doi:10.1007/174_2022_303 · Cited by 1
Navales, I., Paredes, P., Cols, M., Perissinotti, A., Vancells, M., & Pons, F. (2013) · Revista Española de Medicina Nuclear e Imagen Molecular · doi:10.1016/j.remn.2012.12.005 · Cited by 1
Navales, I., Paredes, P., Cols, M., Perissinotti, A., Vancells, M., & Pons, F. (2013) · Revista Española de Medicina Nuclear e Imagen Molecular (English Edition) · doi:10.1016/j.remnie.2013.09.001 · Cited by 1
Migliaro, M., Ballard, D. H., Takalkar, A. M., Thomas-Ogunniyi, J. O., Previgliano, C., & Gonzalez‐Toledo, E. (2016) · The American Journal of the Medical Sciences · doi:10.1016/j.amjms.2015.12.005 · Cited by 1
Genseke, P., Wielenberg, C., Schreiber, J., Lücke, E., Frese, S., Walles, T., & Kreissl, M. C. (2023) · Diagnostics · doi:10.3390/diagnostics13071263 · Cited by 1
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Choi, W. H., Chung, Y. A., Kim, K. J., Park, C. S., Jung, H. S., Sohn, H. S., Chung, S. K., & Yoo, C. Y. (2009) · Nuclear Medicine and Molecular Imaging · Cited by 1
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Dietlein, M., Kobe, C., Neumaier, B., & Ullrich, R. T. (2010) · Onkopipeline · doi:10.1007/s15035-010-0184-6 · Cited by 1
Yaagoubi, Y. E., Perraudeau, F., Barre, I., Guillet, J., Momboisse, D., Role, C., Bernard, O., Cauchois, A., Colin, J., Fagot, T., et al. (2014) · Médecine Nucléaire · doi:10.1016/j.mednuc.2014.09.005
2008 Cancer Committee Membership Roster
Aye, R. W., Bagley, J., Beatty, D., Bonnema, M., Div, M., Care, S., Dawson, P., Einstein, A., Eulau, S. M., Madison, J., et al. (2008)
Horne, Z. D., Clump, D. A., & Heron, D. E. (2013) · Lung Cancer Management · doi:10.2217/lmt.13.17
Tabata, K., Miyata, K., Yuasa, N., Takeuchi, E., Yasutomo, G. O. T. O., Miyake, H., Nagai, H., Kobayashi, Y., Kajiura, D., & Ito, M. (2011) · Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association) · doi:10.3919/jjsa.72.1347
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Monteil, J. (2017) · Revue des Maladies Respiratoires Actualités · doi:10.1016/s1877-1203(17)30043-5
Murali, A., Periakaruppan, G., Raj, B., & Sai, V. (2018) · Journal of Evidence Based Medicine and Healthcare · doi:10.18410/jebmh/2018/507
Deng, C., Luo, H., & Zhou, X. (2018) · doi:10.17352/ojcps.000001
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Xuan, N. M., & Huy, H. Q. (2020) · International Journal of Research in Medical Sciences · doi:10.18203/2320-6012.ijrms20202237
Libé, R., Pais, A., Vialon, F., Guignat, L., Bonnet-Serrano, F., Huillard, O., Assié, G., Gaillard, M., Dousset, B. E., Gaujoux, S., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-1435222/v1
Brooks, C. A., Wang, J., Ashraf, D., Alar, E., Bonura, A., & Joanna, L. (2022) · Neurosurgery Cases and Reviews · doi:10.23937/2643-4474/1710102
Murthy, S. C., Mason, D. P., & Rice, T. W. (2010) · Elsevier eBooks · doi:10.1016/b978-1-4160-5225-8.00019-2
Larici, A. R., Cicchetti, G., Iezzi, R., Calandriello, L., Contegiacomo, A., Posa, A., Taralli, S., Triumbari, E. K. A., Calcagni, M. L., Giordano, A., et al. (2023) · Springer eBooks · doi:10.1007/978-3-031-28524-0_7
Kachala, S. S., Mason, D. P., & Murthy, S. C. (2016) · Elsevier eBooks · doi:10.1016/b978-0-323-24126-7.00019-3
Liu, Z.-Y., Yuan, L., Gao, Y., Zhang, Y., Zhang, Y.-H., Yang, Y. A., Chen, Y.-X., Liu, X., & Pei, Z. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e38702
Chiu, K.-L., Chow, T.-K., Ma, K. M., & Ma, W. H. (2025) · Nuclear Medicine Communications · doi:10.1097/mnm.0000000000002018
Shang, J., Duan, X., He, Y., Wu, B., Cai, Q., Cao, X., Tang, Y., Mai, J., Tan, S., Li, H., et al. (2025) · Cancer Imaging · doi:10.1186/s40644-025-00954-1
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Köse, E. E., & Metin, S. K. (2026) · Research Square · doi:10.21203/rs.3.rs-8413587/v1
Dondi, F., Bettini, D. L., Cosentini, D., Ambrosini, R., Rodella, S., Trevisan, B., Abate, A., Tamburello, M., Cremaschi, V., Casole, G., et al. (2026) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-026-07794-6
Kashyap, R. K., Buteau, J. P., Papa, N. P., Ayati, N., Eifer, M., Betech-Antar, V., Akhurst, T. J., Alipour, R., Kong, G., Saghebi, J., et al. (2026) · Journal of Nuclear Medicine · doi:10.2967/jnumed.126.272531
Metadata
- 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
- Venue
- Journal of Thoracic Oncology
- Publisher
- Elsevier BV
- Published
- 2008-09
- Volume
- 3
- Issue
- 9
- Pages
- 971-978
- ISSN
- 1556-0864 (ISSN-L)
- OpenAlex
- W1979039258
- Semantic Scholar
- 47e32ad0bcc9c0453f63876438f1cdc0803650f5
- 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
- bronze
- doi.org
- 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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