Literature DB >> 25299471

Correlation of the value of 18F-FDG uptake, described by SUVmax, SUVavg, metabolic tumour volume and total lesion glycolysis, to clinicopathological prognostic factors and biological subtypes in breast cancer.

Kornélia Kajáry1, Tímea Tőkés, Magdolna Dank, Janina Kulka, Szabolcs Szakáll, Zsolt Lengyel.   

Abstract

OBJECTIVE: The aim of this study was to observe the relationships between different metabolic parameters and clinicopathological features (CPFs) or immunohistochemically defined biological subtypes (IHC-BS) in breast cancer.
MATERIALS AND METHODS: Eighty-two women (83 lesions, tumour size>15 mm) underwent PET/computed tomography imaging after a core biopsy. Maximum and average standardized uptake values (SUVmax, SUVavg), metabolic tumour volume (MTV) and total lesion glycolysis (TLG) in the primary tumour were calculated and compared with CPFs and IHC-BS. Tumours with oestrogen receptor (ER) positivity were separately investigated in relation to their progesterone receptor (PR) status.
RESULTS: Significant correlation was found between all metabolic parameters and high nuclear grade or ER status or IHC-BS. All parameters were higher in PR(-) and triple-negative cases than in PR(+) and non-triple-negative tumours, and the correlation was significant for most of the metabolic parameters (except for SUVavg in the case of PR status and MTV in the case of triple negativity). Significant correlation was found only for SUVmax regarding the human epidermal growth factor receptor 2 (HER2) status. There was moderate correlation between the Ki67 expression and the SUVmax or SUVavg. All metabolic parameters were higher in ER(+)/PR(-)/HER2(-) lesions compared with ER(+)/PR(+)/HER2(-) cancers. However, ER(+)/PR(-)/HER2(+) tumours had lower SUVmax and SUVavg compared with ER(+)/PR(+)/HER2(+) lesions.
CONCLUSION: Our study confirms that the fluorine-18 fluorodeoxyglucose uptake in primary tumour is associated with distinct CPFs or IHC-BS in breast cancer. SUVmax may reflect tumour metabolism more reliably compared with SUVavg, MTV or total lesion glycolysis. Our preliminary results suggest different biological properties in ER(+) tumours with different PR statuses.

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Year:  2015        PMID: 25299471     DOI: 10.1097/MNM.0000000000000217

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


  13 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

4.  ¹⁸F-FLT PET/CT as an imaging tool for early prediction of pathological response in patients with locally advanced breast cancer treated with neoadjuvant chemotherapy: a pilot study.

Authors:  Flavio Crippa; Roberto Agresti; Marco Sandri; Gabriella Mariani; Barbara Padovano; Alessandra Alessi; Giulia Bianchi; Emilio Bombardieri; Ilaria Maugeri; Mario Rampa; Maria Luisa Carcangiu; Giovanna Trecate; Claudio Pascali; Anna Bogni; Gabriele Martelli; Filippo de Braud
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-02-12       Impact factor: 9.236

5.  18F-fludrodeoxyglucose maximal standardized uptake value and metabolic tumor burden are associated with major chemotherapy-related tumor markers in NSCLC patients.

Authors:  Lu Bai; Chihua Guo; Jiansheng Wang; Xiang Liu; Yang Li; Miao Li; Youmin Guo; Xiaoyi Duan
Journal:  Onco Targets Ther       Date:  2016-10-14       Impact factor: 4.147

6.  Volume-based metabolic parameter of breast cancer on preoperative 18F-FDG PET/CT could predict axillary lymph node metastasis.

Authors:  Young-Sil An; Doo Kyoung Kang; Yongsik Jung; Tae Hee Kim
Journal:  Medicine (Baltimore)       Date:  2017-11       Impact factor: 1.817

7.  Dynamic FDG-PET/CT in the Initial Staging of Primary Breast Cancer: Clinicopathological Correlations.

Authors:  Kornélia Kajáry; Zsolt Lengyel; Anna-Mária Tőkés; Janina Kulka; Magdolna Dank; Tímea Tőkés
Journal:  Pathol Oncol Res       Date:  2019-04-03       Impact factor: 3.201

8.  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

Review 9.  Combining Diagnostic Imaging and Pathology for Improving Diagnosis and Prognosis of Cancer.

Authors:  Orazio Schillaci; Manuel Scimeca; Nicola Toschi; Rita Bonfiglio; Nicoletta Urbano; Elena Bonanno
Journal:  Contrast Media Mol Imaging       Date:  2019-07-01       Impact factor: 3.161

10.  The Value of 18F-FDG PET/CT Imaging Combined With Pretherapeutic Ki67 for Early Prediction of Pathologic Response After Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer.

Authors:  Jurui Luo; Zhirui Zhou; Zhaozhi Yang; Xingxing Chen; Jinyi Cheng; Zhimin Shao; Xiaomao Guo; Jeffrey Tuan; Xiaolong Fu; Xiaoli Yu
Journal:  Medicine (Baltimore)       Date:  2016-02       Impact factor: 1.889

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