Literature DB >> 26663655

Diffusion-weighted imaging and (18) F-fluorodeoxyglucose positron emission tomography/computed tomography in breast cancer: Correlation of the apparent diffusion coefficient and maximum standardized uptake values with prognostic factors.

Belgin Karan1, Aysin Pourbagher1, Nese Torun2.   

Abstract

PURPOSE: To evaluate the correlations between the apparent diffusion coefficient (ADC) value and the standardized uptake value (SUV) with prognostic factors in breast cancer.
MATERIALS AND METHODS: Seventy women with invasive breast cancer (56 cases of invasive ductal carcinoma, four of mixed ductal and lobular invasive carcinoma, three of lobular invasive carcinoma, two of micropapillary carcinoma, and one each of mixed ductal and mucinous carcinoma, mucinous carcinoma, medullary carcinoma, metaplastic carcinoma, and tubular carcinoma) were included in this study. All patients underwent presurgical breast magnetic resonance imaging (MRI) with diffusion-weighted imaging (DWI) at 1.5T and whole-body (18) F-fluorodeoxyglucose ((18) F-FDG) positron emission tomography (PET) / computed tomography (CT). For all invasive breast cancers and invasive ductal carcinomas, we assessed the relationships among ADC, SUV, and pathological prognostic factors.
RESULTS: Both the median ADC value and maximum SUV (SUVmax) were significantly associated with vascular invasion (P = 0.008 and P = 0.026, respectively). SUVmax was also significantly correlated with tumor size (P = 0.001), histological grade (P = 0.001), lymph node status (P = 0.0015), estrogen receptor status (P = 0.010), and human epidermal growth factor receptor 2 status (P = 0.020), whereas ADC values were not. The correlation between the ADC and SUVmax was not significant (P = 0.356; R = -0.112). Mucinous carcinoma showed high ADC and relatively low SUVmax. Medullary carcinoma showed low ADC and high SUVmax. When we evaluated the relationships among ADC, SUVmax, and prognostic factors in the 56 invasive ductal carcinomas, our statistical results were not significantly changed, except SUVmax was also significantly associated with progesterone receptor status (P = 0.034), but not lymph node status.
CONCLUSION: SUVmax may be valuable for predicting the prognosis of breast cancer. Both ADC and SUVmax are useful to predict vascular invasion. J. Magn. Reson. Imaging 2016;43:1434-1444.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  DWI; FDG; PET/CT; breast cancer; prognostic factors

Mesh:

Substances:

Year:  2015        PMID: 26663655     DOI: 10.1002/jmri.25112

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  16 in total

1.  Added value of mean and entropy of apparent diffusion coefficient values for evaluating histologic phenotypes of invasive ductal breast cancer with MR imaging.

Authors:  Shiteng Suo; Dandan Zhang; Fang Cheng; Mengqiu Cao; Jia Hua; Jinsong Lu; Jianrong Xu
Journal:  Eur Radiol       Date:  2018-08-16       Impact factor: 5.315

2.  Patient selection for partial breast irradiation by intraoperative radiation therapy: can magnetic resonance imaging be useful?-perspective from radiation oncology point of view.

Authors:  Marco Krengli; Carla Pisani; Letizia Deantonio
Journal:  J Thorac Dis       Date:  2016-09       Impact factor: 2.895

Review 3.  Breast PET/MR Imaging.

Authors:  Amy Melsaether; Linda Moy
Journal:  Radiol Clin North Am       Date:  2017-02-01       Impact factor: 2.303

4.  Diffusion-Weighted Imaging of Different Breast Cancer Molecular Subtypes: A Systematic Review and Meta-Analysis.

Authors:  Hans-Jonas Meyer; Andreas Wienke; Alexey Surov
Journal:  Breast Care (Basel)       Date:  2021-02-23       Impact factor: 2.860

5.  Simultaneous whole-body and breast 18F-FDG PET/MRI examinations in patients with breast cancer: a comparison of apparent diffusion coefficients and maximum standardized uptake values.

Authors:  Michiro Sasaki; Mitsuhiro Tozaki; Kazunori Kubota; Wakana Murakami; Daisuke Yotsumoto; Yasuaki Sagara; Yasuyo Ohi; Shunichi Oosako; Yoshiaki Sagara
Journal:  Jpn J Radiol       Date:  2017-11-20       Impact factor: 2.374

Review 6.  Meta-Analysis of the Correlation between Apparent Diffusion Coefficient and Standardized Uptake Value in Malignant Disease.

Authors:  Shengming Deng; Zhifang Wu; Yiwei Wu; Wei Zhang; Jihui Li; Na Dai; Bin Zhang; Jianhua Yan
Journal:  Contrast Media Mol Imaging       Date:  2017-02-26       Impact factor: 3.161

7.  Biomarkers from in vivo molecular imaging of breast cancer: pretreatment 18F-FDG PET predicts patient prognosis, and pretreatment DWI-MR predicts response to neoadjuvant chemotherapy.

Authors:  Francesca Gallivanone; Marta Maria Panzeri; Carla Canevari; Claudio Losio; Luigi Gianolli; Francesco De Cobelli; Isabella Castiglioni
Journal:  MAGMA       Date:  2017-02-28       Impact factor: 2.310

8.  Diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping as a quantitative imaging biomarker for prediction of immunohistochemical receptor status, proliferation rate, and molecular subtypes of breast cancer.

Authors:  Joao V Horvat; Blanca Bernard-Davila; Thomas H Helbich; Michelle Zhang; Elizabeth A Morris; Sunitha B Thakur; R Elena Ochoa-Albiztegui; Doris Leithner; Maria A Marino; Pascal A Baltzer; Paola Clauser; Panagiotis Kapetas; Zsuzsanna Bago-Horvath; Katja Pinker
Journal:  J Magn Reson Imaging       Date:  2019-02-27       Impact factor: 4.813

9.  Decoding Intratumoral Heterogeneity of Breast Cancer by Multiparametric In Vivo Imaging: A Translational Study.

Authors:  Jennifer Schmitz; Julian Schwab; Johannes Schwenck; Qian Chen; Leticia Quintanilla-Martinez; Markus Hahn; Beate Wietek; Nina Schwenzer; Annette Staebler; Ursula Kohlhofer; Olulanu H Aina; Neil E Hubbard; Gerald Reischl; Alexander D Borowsky; Sara Brucker; Konstantin Nikolaou; Christian la Fougère; Robert D Cardiff; Bernd J Pichler; Andreas M Schmid
Journal:  Cancer Res       Date:  2016-07-27       Impact factor: 12.701

10.  FDG-PET/CT and diffusion-weighted imaging for resected lung cancer: correlation of maximum standardized uptake value and apparent diffusion coefficient value with prognostic factors.

Authors:  Katsuo Usuda; Aika Funasaki; Atsushi Sekimura; Nozomu Motono; Munetaka Matoba; Mariko Doai; Sohsuke Yamada; Yoshimichi Ueda; Hidetaka Uramoto
Journal:  Med Oncol       Date:  2018-04-09       Impact factor: 3.064

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