Literature DB >> 22187313

Intratumoral heterogeneity of F-18 FDG uptake differentiates between gastrointestinal stromal tumors and abdominal malignant lymphomas on PET/CT.

Tadashi Watabe1, Mitsuaki Tatsumi, Hiroshi Watabe, Kayako Isohashi, Hiroki Kato, Masahiro Yanagawa, Eku Shimosegawa, Jun Hatazawa.   

Abstract

OBJECTIVE: Gastrointestinal stromal tumors (GISTs) and malignant lymphomas (MLs) in the abdomen are often observed as tumors of unknown origin on F-18 FDG PET/CT. The purpose of this study was to evaluate the intratumoral metabolic heterogeneity of F-18 FDG uptake on PET to determine if it might be helpful to discriminate between these tumors.
METHODS: The F-18 FDG PET/CT findings of 21 large abdominal tumors were retrospectively evaluated (9 GISTs and 12 MLs). Intratumoral heterogeneity was evaluated by visual scoring (visual score: 0, homogeneous; 1, slightly heterogeneous; 2, moderately heterogeneous; 3, highly heterogeneous) and by the cumulative standardized uptake value (SUV) histograms on transaxial PET images at the maximal cross-sectional tumor diameter. Percent tumor areas above a threshold from 0 to 100% of the maximum SUV were plotted and the area under curve of the cumulative SUV histograms (AUC-CSH) was used as a heterogeneity index, where lower values corresponded with increased heterogeneity. Correlation between the visual score and the AUC-CSH was investigated by the Spearman's rank test.
RESULTS: GISTs exhibited heterogeneous uptake of F-18 FDG, whereas MLs showed rather homogeneous uptake on visual analysis (visual score: 2.67 ± 0.50 and 0.58 ± 0.79, respectively; p < 0.001). The AUC-CSH was significantly lower for the GISTs than for the MLs (0.41 ± 0.14 and 0.64 ± 0.08, respectively; p < 0.001). Significant correlations were observed between the visual score and the AUC-CSH (ρ = -0.866, p < 0.001).
CONCLUSION: GISTs exhibited significantly heterogeneous intratumoral tracer uptake as compared with the MLs. Evaluation of the intratumoral heterogeneity of F-18 FDG uptake may help in the discrimination between these tumors.

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Year:  2011        PMID: 22187313     DOI: 10.1007/s12149-011-0562-3

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


  25 in total

1.  Reply to: Area under the cumulative SUV-volume histogram is not a viable metric of intratumoral metabolic heterogeneity.

Authors:  Floris H P van Velden; Ronald Boellaard
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Authors:  Esther Mena; Mehdi Taghipour; Sara Sheikhbahaei; Abhinav K Jha; Arman Rahmim; Lilja Solnes; Rathan M Subramaniam
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4.  Test-retest variability of various quantitative measures to characterize tracer uptake and/or tracer uptake heterogeneity in metastasized liver for patients with colorectal carcinoma.

Authors:  Floris H P van Velden; Ida A Nissen; Femke Jongsma; Linda M Velasquez; Wendy Hayes; Adriaan A Lammertsma; Otto S Hoekstra; Ronald Boellaard
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Review 5.  Radiomics in Oncological PET/CT: Clinical Applications.

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7.  Multiple metabolic parameters and visual assessment of 18F-FDG uptake heterogeneity of PET/CT in advanced gastric cancer and primary gastric lymphoma.

Authors:  Yixuan Ren; Juan Liu; Ling Wang; Yongjun Luo; Xiaofang Ding; Aiqi Shi; Jiangyan Liu
Journal:  Abdom Radiol (NY)       Date:  2020-11

8.  Prognostic Impact of Intratumoral Heterogeneity Based on Fractal Geometry Analysis in Operated NSCLC Patients.

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Review 9.  Recent Trends in PET Image Interpretations Using Volumetric and Texture-based Quantification Methods in Nuclear Oncology.

Authors:  Muhammad Kashif Rahim; Sung Eun Kim; Hyeongryul So; Hyung Jun Kim; Gi Jeong Cheon; Eun Seong Lee; Keon Wook Kang; Dong Soo Lee
Journal:  Nucl Med Mol Imaging       Date:  2014-01-22

10.  The value of intratumoral heterogeneity of (18)F-FDG uptake to differentiate between primary benign and malignant musculoskeletal tumours on PET/CT.

Authors:  Masatoyo Nakajo; Masayuki Nakajo; Megumi Jinguji; Yoshihiko Fukukura; Yoshiaki Nakabeppu; Atsushi Tani; Takashi Yoshiura
Journal:  Br J Radiol       Date:  2015-09-04       Impact factor: 3.039

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