Research Article
BibTex RIS Cite
Year 2018, Volume: 5 Issue: 10, 344 - 349, 30.10.2018
https://doi.org/10.17546/msd.470198

Abstract

References

  • 1. Torre LA et al. Global cancer statistics, 2012. Ca Cancer J Clin. 2015;65(2):87-108.
  • 2. Filosso PL, Guerrera F, Lausi PO, Ruffini E. Locally advanced non-small cell lung cancer treatment: another step forward. Journal of Thoracic Disease. 2017;9(12):4908-4911.
  • 3. Nahmias C, Hanna WT, Wahl LM, Long MJ, Hubner KF, Townsend DW. Time course of early response to chemotherapy in non-small cell lung cancer patients with 18F-FDG PET/CT. J Nucl Med. 2007; 48:744–751.
  • 4. Obara P, Pu Y. Prognostic value of metabolic tumor burden in lung cancer. Chinese Journal of Cancer Research. 2013;25(6):615-622.
  • 5. Yu HM, Liu YF, Hou M, et al. Evaluation of gross tumor size using CT, 18F-FDG PET, integrated 18F-FDG PET/CT and pathological analysis in non-small cell lung cancer. Eur J Radiol 2009;72:104-13.
  • 6. Downey RJ, Akhurst T, Gonen M, et al. Preoperative F-18 fluorodeoxyglucose-positron emission tomography maximal standardized uptake value predicts survival after lung cancer resection. J Clin Oncol 2004;22:3255-60.
  • 7. Lee P, Weerasuriya DK, Lavori PW, et al. Metabolic tumor burden predicts for disease progression and death in lung cancer. Int J Radiat Oncol Biol Phys 2007;69:328-33.
  • 8. Zhang H, Wroblewski K, Liao S, et al. Prognostic value of metabolic tumor burden from 18F-FDG PET in surgical patients with non-small-cell lung cancer. Acad Radiol 2013;20:32-40.
  • 9. Chen HH, Chiu NT, Su WC, Guo HR, Lee BF. Prognostic value of whole-body total lesion glycolysis at pretreatment FDG PET/CT in non-small cell lung cancer. Radiology. 2012;264(2):559-66.
  • 10. Junker K, Langner K, Klinke F, Bosse U, Thomas M. Grading of tumor regression in non-small cell lung cancer : morphology and prognosis. Chest. 2001;120(5):1584-91.
  • 11. Sugawara Y, Zasadny KR, Neuhoff AW, et al. Reevaluation of the standardized uptake value for FDG: variations with body weight and methods for correction. Radiology 1999;213:521-5.
  • 12. Hamberg LM, Hunter GJ, Alpert NM, et al. The dose uptake ratio as an index of glucose metabolism:useful parameter or oversimplification? J Nucl Med 1994;35:1308-12.
  • 13. Weber WA, Schwaiger M, Avril N. Quantitative assessment of tumor metabolism using FDG-PET imaging. Nucl Med Biol 2000;27:683-7.
  • 14. Cerfolio RJ1, Bryant AS, Winokur TS, Ohja B, Bartolucci AA. Repeat FDG-PET after neoadjuvant therapy is a predictor of pathologic response in patients with non-small cell lung cancer. Ann Thorac Surg. 2004 Dec;78(6):1903-9
  • 15. Lee P, Weerasuriya DK, Lavori PW, et al. Metabolic tumor burden predicts for disease progression and death in lung cancer. Int J Radiat Oncol Biol Phys 2007;69:328-33.
  • 16. Kim K, Kim SJ, Kim IJ, et al. Prognostic value of volumetric parameters measured by F-18 FDG PET/CT in surgically resected non-small-cell lung cancer. Nucl Med Commun 2012;33:613-20.
  • 17. Hyun SH, Ahn HK, Kim H, et al. Volume-based assessment by 18F-FDG PET/CT predicts survival in patients with stage III non-small-cell lung cancer. Eur J Nucl Med Mol Imaging 2014;41:50-8.

Does 18F FDG PET/CT paramaters predict histopathologic response to the neoadjuvant therapy in patients with non-small cell lung cancer?

Year 2018, Volume: 5 Issue: 10, 344 - 349, 30.10.2018
https://doi.org/10.17546/msd.470198

Abstract





Objective: Progression-free
and overall survival are better correlated with metabolically active tumor
volume (MTV) and total lesion glycolysis (TLG), as compared to the maximum
standardized uptake value (SUVmax) in NSCLC patients. In this study, we aimed
to evaluate the correlation between the PET-CT parameters and histopathologic
tumor regression score in non-small cell lung cancer(NSCLC) patients after
treatment with neoadjuvant chemotherapy.(1)


Methods: This
retrospective study evaluated stage III lung cancer patients who were treated
with neoadjuvant chemotherapy followed by surgical resection at a single
institution between 2014 and 2018. The 3-dimensional volumes of interest were
drawn in primary tumor and largest lymph node on the pretreatment examination
and corresponding location on the post-treatment examination to obtain a pre-
and post-treatment SUVmax, SUVmean, MTV and TLG. All hematoxylin- and
eosin-stained surgery specimens were assessed based on a 4-tiered scale.


Results: Patients
who had lower than 10% histologic response established higher values of
SUVmax, in tumor as compared to good responders in basal PET CT assessment
(p:0.014). Patients who established higher than 10% pathologic response
showed higher reduction rates in terms of SUVmax (p:0.002), mean tumor volume
(p:0.024), and total lesion glycolysis (p:0.009). The overall survival for
patients with <10% histologic response was 15.26 months while the patients
with good histologic response had 35.36 months and the difference was
statistical significance (p<0.001). Due to univariate analysis, the higher
SUVmax, TLG and MTV reduction have been found in association with better
overall survival.


Conclusion: PET CT
parameters may be useful to predict histopathologic response for NSCLC
patients who received neoadjuvant chemotherapy.


References

  • 1. Torre LA et al. Global cancer statistics, 2012. Ca Cancer J Clin. 2015;65(2):87-108.
  • 2. Filosso PL, Guerrera F, Lausi PO, Ruffini E. Locally advanced non-small cell lung cancer treatment: another step forward. Journal of Thoracic Disease. 2017;9(12):4908-4911.
  • 3. Nahmias C, Hanna WT, Wahl LM, Long MJ, Hubner KF, Townsend DW. Time course of early response to chemotherapy in non-small cell lung cancer patients with 18F-FDG PET/CT. J Nucl Med. 2007; 48:744–751.
  • 4. Obara P, Pu Y. Prognostic value of metabolic tumor burden in lung cancer. Chinese Journal of Cancer Research. 2013;25(6):615-622.
  • 5. Yu HM, Liu YF, Hou M, et al. Evaluation of gross tumor size using CT, 18F-FDG PET, integrated 18F-FDG PET/CT and pathological analysis in non-small cell lung cancer. Eur J Radiol 2009;72:104-13.
  • 6. Downey RJ, Akhurst T, Gonen M, et al. Preoperative F-18 fluorodeoxyglucose-positron emission tomography maximal standardized uptake value predicts survival after lung cancer resection. J Clin Oncol 2004;22:3255-60.
  • 7. Lee P, Weerasuriya DK, Lavori PW, et al. Metabolic tumor burden predicts for disease progression and death in lung cancer. Int J Radiat Oncol Biol Phys 2007;69:328-33.
  • 8. Zhang H, Wroblewski K, Liao S, et al. Prognostic value of metabolic tumor burden from 18F-FDG PET in surgical patients with non-small-cell lung cancer. Acad Radiol 2013;20:32-40.
  • 9. Chen HH, Chiu NT, Su WC, Guo HR, Lee BF. Prognostic value of whole-body total lesion glycolysis at pretreatment FDG PET/CT in non-small cell lung cancer. Radiology. 2012;264(2):559-66.
  • 10. Junker K, Langner K, Klinke F, Bosse U, Thomas M. Grading of tumor regression in non-small cell lung cancer : morphology and prognosis. Chest. 2001;120(5):1584-91.
  • 11. Sugawara Y, Zasadny KR, Neuhoff AW, et al. Reevaluation of the standardized uptake value for FDG: variations with body weight and methods for correction. Radiology 1999;213:521-5.
  • 12. Hamberg LM, Hunter GJ, Alpert NM, et al. The dose uptake ratio as an index of glucose metabolism:useful parameter or oversimplification? J Nucl Med 1994;35:1308-12.
  • 13. Weber WA, Schwaiger M, Avril N. Quantitative assessment of tumor metabolism using FDG-PET imaging. Nucl Med Biol 2000;27:683-7.
  • 14. Cerfolio RJ1, Bryant AS, Winokur TS, Ohja B, Bartolucci AA. Repeat FDG-PET after neoadjuvant therapy is a predictor of pathologic response in patients with non-small cell lung cancer. Ann Thorac Surg. 2004 Dec;78(6):1903-9
  • 15. Lee P, Weerasuriya DK, Lavori PW, et al. Metabolic tumor burden predicts for disease progression and death in lung cancer. Int J Radiat Oncol Biol Phys 2007;69:328-33.
  • 16. Kim K, Kim SJ, Kim IJ, et al. Prognostic value of volumetric parameters measured by F-18 FDG PET/CT in surgically resected non-small-cell lung cancer. Nucl Med Commun 2012;33:613-20.
  • 17. Hyun SH, Ahn HK, Kim H, et al. Volume-based assessment by 18F-FDG PET/CT predicts survival in patients with stage III non-small-cell lung cancer. Eur J Nucl Med Mol Imaging 2014;41:50-8.
There are 17 citations in total.

Details

Primary Language English
Subjects Health Care Administration
Journal Section Research Article
Authors

Ozlem Yersal

Arzu Cengic This is me

Salih Cokpinar This is me

Nesibe Kahraman Cetin This is me

Nezih Meydan

Sabri Barutca

Serdar Sen

Publication Date October 30, 2018
Published in Issue Year 2018 Volume: 5 Issue: 10

Cite

APA Yersal, O., Cengic, A., Cokpinar, S., Cetin, N. K., et al. (2018). Does 18F FDG PET/CT paramaters predict histopathologic response to the neoadjuvant therapy in patients with non-small cell lung cancer?. Medical Science and Discovery, 5(10), 344-349. https://doi.org/10.17546/msd.470198
AMA Yersal O, Cengic A, Cokpinar S, Cetin NK, Meydan N, Barutca S, Sen S. Does 18F FDG PET/CT paramaters predict histopathologic response to the neoadjuvant therapy in patients with non-small cell lung cancer?. Med Sci Discov. October 2018;5(10):344-349. doi:10.17546/msd.470198
Chicago Yersal, Ozlem, Arzu Cengic, Salih Cokpinar, Nesibe Kahraman Cetin, Nezih Meydan, Sabri Barutca, and Serdar Sen. “Does 18F FDG PET/CT Paramaters Predict Histopathologic Response to the Neoadjuvant Therapy in Patients With Non-Small Cell Lung Cancer?”. Medical Science and Discovery 5, no. 10 (October 2018): 344-49. https://doi.org/10.17546/msd.470198.
EndNote Yersal O, Cengic A, Cokpinar S, Cetin NK, Meydan N, Barutca S, Sen S (October 1, 2018) Does 18F FDG PET/CT paramaters predict histopathologic response to the neoadjuvant therapy in patients with non-small cell lung cancer?. Medical Science and Discovery 5 10 344–349.
IEEE O. Yersal, A. Cengic, S. Cokpinar, N. K. Cetin, N. Meydan, S. Barutca, and S. Sen, “Does 18F FDG PET/CT paramaters predict histopathologic response to the neoadjuvant therapy in patients with non-small cell lung cancer?”, Med Sci Discov, vol. 5, no. 10, pp. 344–349, 2018, doi: 10.17546/msd.470198.
ISNAD Yersal, Ozlem et al. “Does 18F FDG PET/CT Paramaters Predict Histopathologic Response to the Neoadjuvant Therapy in Patients With Non-Small Cell Lung Cancer?”. Medical Science and Discovery 5/10 (October 2018), 344-349. https://doi.org/10.17546/msd.470198.
JAMA Yersal O, Cengic A, Cokpinar S, Cetin NK, Meydan N, Barutca S, Sen S. Does 18F FDG PET/CT paramaters predict histopathologic response to the neoadjuvant therapy in patients with non-small cell lung cancer?. Med Sci Discov. 2018;5:344–349.
MLA Yersal, Ozlem et al. “Does 18F FDG PET/CT Paramaters Predict Histopathologic Response to the Neoadjuvant Therapy in Patients With Non-Small Cell Lung Cancer?”. Medical Science and Discovery, vol. 5, no. 10, 2018, pp. 344-9, doi:10.17546/msd.470198.
Vancouver Yersal O, Cengic A, Cokpinar S, Cetin NK, Meydan N, Barutca S, Sen S. Does 18F FDG PET/CT paramaters predict histopathologic response to the neoadjuvant therapy in patients with non-small cell lung cancer?. Med Sci Discov. 2018;5(10):344-9.