Literature DB >> 22828453

The analysis of factors affecting the threshold on repeated 18F-FDG-PET/CT investigations measured by the PERCIST protocol in patients with esophageal carcinoma.

Pavel Fencl1, Otakar Belohlavek, Tomas Harustiak, Milada Zemanova.   

Abstract

BACKGROUND: When applying the PET Response Criteria in Solid Tumors protocol, a threshold value based on standardized uptake value corrected to lean body mass (SUL) in liver parenchyma, or in the blood pool, is used: to metabolically specify a measurable lesion; to calculate metabolic tumor volume (mTV) and its product total lesion glycolysis (TLG); and as a limit for response measurement. The problem with using changes in glucose metabolism as a marker for response to therapy is its reproducibility on test-retest examinations. Therefore, before the evaluation of tumor treatment response, we verified our diagnostic protocol for homogeneity using the PET Response Criteria in Solid Tumors quality parameters. In addition, we analyzed the effect of the time span between examinations on the average value of SUL (SUL MEAN) in liver parenchyma at three different points: first at baseline (BL), after the first course of chemotherapy (ChT1), and finally after finishing therapy (ChT3). We also analyzed the influence of SUL MEAN variation on mTV and TLG.
METHODS: Eighty-four patients with esophageal cancer were prospectively examined at BL using 2-deoxy-2-[18F]fluoro-D-glucose (18F-FDG)-PET/CT; 53 of 84 patients were examined after ChT1, 47 of 84 after ChT3, and 41 of 84 underwent all three examinations. Coefficient of variance (CV) and relative differences (RDw) were assessed for test-retest liver SUL values. The influence of liver SUL MEAN to mTV and TLG was modeled on BL examinations by artificial changes in liver SUL MEAN by ± 20%.
RESULTS: No significant differences were found in test-retest liver SUL MEAN values. Comparing BL with ChT1, BL with ChT3, and ChT1 with ChT3, the CV of the liver SUL MEAN was 10.4, 10.7, and 10.3%; nevertheless, in 34.0, 38.3, and 36.6% of these examinations, respectively, the liver average SUL MEAN values exceeded the limit for inclusion in the study; that is, the difference was less than ± 0.3 U and ± 20%. The corresponding CV of blood background was 14.9, 16.5, and 17.2%. The artificial decrease of -20% in the liver SUL MEAN resulted in an increase of +43.6% in mTV and of +20.4% in TLG, whereas an increase of +20% in the liver SUL MEAN resulted in a decrease of -20.6% in mTV and -11.9% in TLG.
CONCLUSION: SUL MEAN values in reference tissues (liver parenchyma or descending aorta) measured before chemotherapy did not differ significantly from those measured during chemotherapy. The CV of liver SUL MEAN was comparable to that seen in published data, but some patients had to be excluded from the study because of the individual variability of their mean liver SUL MEAN, which consequently hinders the clinical usage of mTV and TLG. Even in the standardized protocol, all potential sources of variability should be minimized.

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Year:  2012        PMID: 22828453     DOI: 10.1097/MNM.0b013e3283573d0d

Source DB:  PubMed          Journal:  Nucl Med Commun        ISSN: 0143-3636            Impact factor:   1.690


  5 in total

1.  Pretreatment metabolic tumour volume is predictive of disease-free survival and overall survival in patients with oesophageal squamous cell carcinoma.

Authors:  Charles Lemarignier; Frédéric Di Fiore; Charline Marre; Sébastien Hapdey; Romain Modzelewski; Pierrick Gouel; Pierre Michel; Bernard Dubray; Pierre Vera
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-07-19       Impact factor: 9.236

2.  FDG-PET/CT lymph node staging after neoadjuvant chemotherapy in patients with adenocarcinoma of the esophageal-gastric junction.

Authors:  Pavel Fencl; Otakar Belohlavek; Tomas Harustiak; Milada Zemanova
Journal:  Abdom Radiol (NY)       Date:  2016-11

3.  Prospective assessment using 18F-FDG PET/CT as a novel predictor for early response to PD-1 blockade in non-small-cell lung cancer.

Authors:  Kyoichi Kaira; Ichiro Naruse; Yukihiro Umeda; Takeshi Honda; Ou Yamaguchi; Satoshi Watanabe; Kosuke Ichikawa; Kazunari Tateishi; Norimitsu Kasahara; Tetsuya Higuchi; Kosuke Hashimoto; Shun Shinomiya; Yu Miura; Ayako Shiono; Atsuto Mouri; Hisao Imai; Kunihiko Iizuka; Tamotsu Ishizuka; Koichi Minato; Satoshi Suda; Hiroshi Kagamu; Keita Mori; Ichiei Kuji; Nobuhiko Seki
Journal:  Sci Rep       Date:  2022-07-12       Impact factor: 4.996

4.  A semi-automated technique determining the liver standardized uptake value reference for tumor delineation in FDG PET-CT.

Authors:  Kenji Hirata; Kentaro Kobayashi; Koon-Pong Wong; Osamu Manabe; Andrew Surmak; Nagara Tamaki; Sung-Cheng Huang
Journal:  PLoS One       Date:  2014-08-27       Impact factor: 3.240

5.  Factors that affect PERCIST-defined test-retest comparability: an exploration of feasibility in routine clinical practice.

Authors:  Hui Yuan; Daniel King Hung Tong; Varut Vardhanabhuti; Pek-Lan Khong
Journal:  Clin Nucl Med       Date:  2015-12       Impact factor: 7.794

  5 in total

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