Literature DB >> 23619341

The relationship between 18F-FDG metabolic volumetric parameters and clinicopathological factors of breast cancer.

Hayato Kaida1, Uhi Toh, Masanobu Hayakawa, Satoshi Hattori, Teruhiko Fujii, Seiji Kurata, Akihiko Kawahara, Yasumitsu Hirose, Masayoshi Kage, Masatoshi Ishibashi.   

Abstract

OBJECTIVES: This study was conducted to evaluate the relationship between fluorine-18 fluorodeoxyglucose metabolic parameters [maximum standardized uptake value (SUV(max)), metabolic tumor volume (MTV), and total lesion glycolysis (TLG)] and clinicopathological factors of breast cancer.
METHODS: The study comprised 93 patients. A volumetric region of interest was drawn over the abnormal focal uptake of breast cancer. Spearman's rank correlation, the Kruskal-Wallis test, and receiver operating characteristic analysis were used to investigate the relationship between clinicopathological factors and metabolic parameters and determine which metabolic parameters were most highly associated with clinicopathological factors.
RESULTS: All parameters had a statistically significant relationship with pathological T stage (p-T stage), pathological N status (p-N status), pathological stage (p-stage), and triple-negative type (TN) (all P values were <0.05). There were statistically significant differences between SUV(max) and TLG in relation to lymphatic invasion, estrogen receptor, and nuclear grade (P<0.05). High MTV showed a tendency toward association with estrogen receptor negativity, but the relation did not reach the level of statistical significance (P=0.056). No statistically significant relationship was observed between MTV and lymphatic invasion or nuclear grade. In the receiver operating characteristic analysis of p-T stage and p-stage, the AUC for TLG was significantly larger than that for SUV(max) (P=0.0003 and 0.048, respectively). There were marginally significant differences between TLG and MTV in relation to p-stage (P=0.058).
CONCLUSION: TLG may reflect tumor metabolism for clinicopathological factors of breast cancer better than SUV(max) or MTV.

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Year:  2013        PMID: 23619341     DOI: 10.1097/MNM.0b013e328360d945

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


  10 in total

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Authors:  Lidija Antunovic; Francesca Gallivanone; Martina Sollini; Andrea Sagona; Alessandra Invento; Giulia Manfrinato; Margarita Kirienko; Corrado Tinterri; Arturo Chiti; Isabella Castiglioni
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-07-15       Impact factor: 9.236

2.  PET/CT radiomics in breast cancer: promising tool for prediction of pathological response to neoadjuvant chemotherapy.

Authors:  Lidija Antunovic; Rita De Sanctis; Luca Cozzi; Margarita Kirienko; Andrea Sagona; Rosalba Torrisi; Corrado Tinterri; Armando Santoro; Arturo Chiti; Renata Zelic; Martina Sollini
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-03-26       Impact factor: 9.236

3.  Metabolic Tumor Burden Assessed by Dual Time Point [18F]FDG PET/CT in Locally Advanced Breast Cancer: Relation with Tumor Biology.

Authors:  Ana María Garcia-Vicente; Julián Pérez-Beteta; Víctor Manuel Pérez-García; David Molina; German Andrés Jiménez-Londoño; Angel Soriano-Castrejón; Alicia Martínez-González
Journal:  Mol Imaging Biol       Date:  2017-08       Impact factor: 3.488

Review 4.  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

5.  Axillary Lymph Node-to-Primary Tumor Standard Uptake Value Ratio on Preoperative (18)F-FDG PET/CT: A Prognostic Factor for Invasive Ductal Breast Cancer.

Authors:  Young Hwan Kim; Hai-Jeon Yoon; Yemi Kim; Bom Sahn Kim
Journal:  J Breast Cancer       Date:  2015-06-26       Impact factor: 3.588

6.  Which of the fluorine-18 fluorodeoxyglucose positron emission tomography/computerized tomography parameters are better associated with prognostic factors in breast cancer?

Authors:  Hasan Önner; Funda Canaz; Murat Dinçer; Serap Işiksoy; İlknur Ak Sivrikoz; Emre Entok; Serdar Erkasap
Journal:  Medicine (Baltimore)       Date:  2019-05       Impact factor: 1.817

7.  Prognostic Significance of Metabolic Parameters and Textural Features on 18F-FDG PET/CT in Invasive Ductal Carcinoma of Breast.

Authors:  Chin-Chuan Chang; Chao-Jung Chen; Wen-Ling Hsu; Shu-Min Chang; Ying-Fong Huang; Yu-Chang Tyan
Journal:  Sci Rep       Date:  2019-07-29       Impact factor: 4.379

8.  Chronic acidosis in the tumour microenvironment selects for overexpression of LAMP2 in the plasma membrane.

Authors:  Mehdi Damaghi; Narges K Tafreshi; Mark C Lloyd; Robert Sprung; Veronica Estrella; Jonathan W Wojtkowiak; David L Morse; John M Koomen; Marilyn M Bui; Robert A Gatenby; Robert J Gillies
Journal:  Nat Commun       Date:  2015-12-10       Impact factor: 14.919

9.  Percentage change of primary tumor on 18F-FDG PET/CT as a prognostic factor for invasive ductal breast cancer with axillary lymph node metastasis: Comparison with MRI.

Authors:  Jang Yoo; Bom Sahn Kim; Jin Chung; Hai-Jeon Yoon
Journal:  Medicine (Baltimore)       Date:  2017-08       Impact factor: 1.889

10.  Prognostic value of 18F-FDG PET/CT metabolic parameters in small cell lung cancer.

Authors:  Eun Kyoung Choi; Minjae Park; Jooyeon Jamie Im; Yong-An Chung; Jin Kyoung Oh
Journal:  J Int Med Res       Date:  2019-12-27       Impact factor: 1.671

  10 in total

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