Literature DB >> 34379284

Development and validation of a prediction model based on the organ-based metabolic tumor volume on FDG-PET in patients with differentiated thyroid carcinoma.

Yuko Uchiyama1,2, Kenji Hirata3,4, Shiro Watanabe1,2, Shozo Okamoto5, Tohru Shiga6, Kazufumi Okada7, Yoichi M Ito7, Kohsuke Kudo1,8,9.   

Abstract

BACKGROUND: Although patients with differentiated thyroid cancer (DTC) generally have a good prognosis, patients with a large metabolic tumor volume (MTV) on FDG-PET may experience poor clinical courses. We measured organ-based MTVs and tested its prognostic performance in comparison to conventional MTV (cMTV).
METHODS: We retrospectively analyzed the cases of 280 patients who received their first I-131 therapy in 2003-2014 at our hospital and showed an FDG-avid metastatic lesion. We randomly divided the patients into training (n = 190) and validation (n = 90) datasets. We classified the MTVs as MTVneck-node, MTVdistant-node, MTVlung, MTVbone, and MTVother-organs and tested with/without dichotomization vis-à-vis overall survival (OS). Based on the estimated weighting coefficients of the organ-based MTVs, we propose a new index: the adjusted whole-body MTV (aMTV). Using the validation dataset, we compared the aMTV with cMTV for predicting OS.
RESULTS: In a univariate analysis, MTVdistant-node and MTVother-organs were more strongly correlated with the OS than the dichotomized forms, whereas the dichotomized forms of MTVneck-node, MTVlung, and MTVbone were more strongly correlated with OS than the continuous variables. The aMTV was thus expressed as 0.69 × dic(MTVneck-node) + 0.02 × MTVdistant-node + 1.05 × dic(MTVlung) + 1.58 × dic(MTVbone) + 0.01 × MTVother-organs, where dic(x) represents 0 or 1 based on the optimized cut-off. In the model evaluation using the validation group, aMTV was a significant predictor of OS with a higher c-index (0.7676) than cMTV (0.7218).
CONCLUSION: In DTC patients with FDG-avid metastasis before I-131 therapy, all organ-based MTVs were significant predictors of prognosis. As the aMTV outperformed the cMTV for predicting prognoses, we recommend measuring the MTV on an organ basis.
© 2021. The Japanese Society of Nuclear Medicine.

Entities:  

Keywords:  Differentiated thyroid carcinoma; FDG-PET; Metabolic tumor volume; Organ-based measurement

Mesh:

Substances:

Year:  2021        PMID: 34379284     DOI: 10.1007/s12149-021-01664-x

Source DB:  PubMed          Journal:  Ann Nucl Med        ISSN: 0914-7187            Impact factor:   2.668


  1 in total

1.  Prognostic value of [18F]fluorodeoxyglucose positron emission tomographic scanning in patients with thyroid cancer.

Authors:  W Wang; S M Larson; M Fazzari; S K Tickoo; K Kolbert; G Sgouros; H Yeung; H Macapinlac; J Rosai; R J Robbins
Journal:  J Clin Endocrinol Metab       Date:  2000-03       Impact factor: 5.958

  1 in total
  2 in total

Review 1.  Artificial intelligence for nuclear medicine in oncology.

Authors:  Kenji Hirata; Hiroyuki Sugimori; Noriyuki Fujima; Takuya Toyonaga; Kohsuke Kudo
Journal:  Ann Nucl Med       Date:  2022-01-14       Impact factor: 2.668

2.  Beads phantom for evaluating heterogeneity of SUV on 18F-FDG PET images.

Authors:  Koichi Okuda; Hisahiro Saito; Shozo Yamashita; Haruki Yamamoto; Hajime Ichikawa; Toyohiro Kato; Kunihiko Yokoyama; Mariko Doai; Mitsumasa Hashimoto; Munetaka Matoba
Journal:  Ann Nucl Med       Date:  2022-04-04       Impact factor: 2.258

  2 in total

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