Literature DB >> 31253745

Multiparametric 18F-FDG PET/MRI of the Breast: Are There Differences in Imaging Biomarkers of Contralateral Healthy Tissue Between Patients With and Without Breast Cancer?

Doris Leithner1,2,3, Thomas H Helbich3, Blanca Bernard-Davila4, Maria Adele Marino1,5, Daly Avendano1,6, Danny F Martinez1, Maxine S Jochelson1, Panagiotis Kapetas3, Pascal A T Baltzer3, Alexander Haug7,8, Marcus Hacker7, Yasemin Tanyildizi9, Elizabeth A Morris1, Katja Pinker10,3.   

Abstract

The rationale was to assess whether there are differences in multiparametric 18F-FDG PET/MRI biomarkers of contralateral healthy breast tissue in patients with benign and malignant breast tumors.
Methods: In this institutional review board-approved prospective single-institution study, 141 women with imaging abnormalities on mammography or sonography (BI-RADS 4/5) underwent combined 18F-FDG PET/MRI of the breast at 3T with dynamic contrast-enhanced MRI, diffusion-weighted imaging, and the radiotracer 18F-FDG. In all patients, the following imaging biomarkers were recorded for the contralateral (tumor-free) breast: breast parenchymal uptake (BPU) (from 18F-FDG PET), mean apparent diffusion coefficient (from diffusion-weighted imaging), background parenchymal enhancement (BPE), and amount of fibroglandular tissue (FGT) (from MRI). Appropriate statistical tests were used to assess differences in 18F-FDG PET/MRI biomarkers between patients with benign and malignant lesions.
Results: There were 100 malignant and 41 benign lesions. BPE was minimal in 61 patients, mild in 56, moderate in 19, and marked in 5. BPE differed significantly (P < 0.001) between patients with benign and malignant lesions, with patients with cancer demonstrating decreased BPE in the contralateral tumor-free breast. FGT approached but did not reach significance (P = 0.055). BPU was 1.5 for patients with minimal BPE, 1.9 for mild BPE, 2.2 for moderate BPE, and 1.9 for marked BPE. BPU differed significantly between patients with benign lesions (mean, 1.9) and patients with malignant lesions (mean, 1.8) (P < 0.001). Mean apparent diffusion coefficient did not differ between groups (P = 0.19).
Conclusion: Differences in multiparametric 18F-FDG PET/MRI biomarkers, obtained from contralateral tumor-free breast tissue, exist between patients with benign and patients with malignant breast tumors. Contralateral BPE, BPU, and FGT are decreased in breast cancer patients and may potentially serve as imaging biomarkers for the presence of malignancy.
© 2020 by the Society of Nuclear Medicine and Molecular Imaging.

Entities:  

Keywords:  18F-FDG PET/MRI; breast cancer; diffusion-weighted imaging; dynamic contrast-enhanced MRI; imaging biomarker

Year:  2019        PMID: 31253745      PMCID: PMC6954464          DOI: 10.2967/jnumed.119.230003

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  36 in total

1.  Mammographic density and the risk and detection of breast cancer.

Authors:  Norman F Boyd; Helen Guo; Lisa J Martin; Limei Sun; Jennifer Stone; Eve Fishell; Roberta A Jong; Greg Hislop; Anna Chiarelli; Salomon Minkin; Martin J Yaffe
Journal:  N Engl J Med       Date:  2007-01-18       Impact factor: 91.245

2.  Background parenchymal enhancement at breast MR imaging and breast cancer risk.

Authors:  Valencia King; Jennifer D Brooks; Jonine L Bernstein; Anne S Reiner; Malcolm C Pike; Elizabeth A Morris
Journal:  Radiology       Date:  2011-04-14       Impact factor: 11.105

Review 3.  Diffusion magnetic resonance imaging: a biomarker for treatment response in oncology.

Authors:  Daniel A Hamstra; Alnawaz Rehemtulla; Brian D Ross
Journal:  J Clin Oncol       Date:  2007-09-10       Impact factor: 44.544

4.  Diffusion weighted imaging of the normal breast: reproducibility of apparent diffusion coefficient measurements and variation with menstrual cycle and menopausal status.

Authors:  Elizabeth A M O'Flynn; Veronica A Morgan; Sharon L Giles; Nandita M deSouza
Journal:  Eur Radiol       Date:  2012-02-26       Impact factor: 5.315

5.  Combined contrast-enhanced magnetic resonance and diffusion-weighted imaging reading adapted to the "Breast Imaging Reporting and Data System" for multiparametric 3-T imaging of breast lesions.

Authors:  K Pinker; H Bickel; T H Helbich; S Gruber; P Dubsky; U Pluschnig; M Rudas; Z Bago-Horvath; M Weber; S Trattnig; W Bogner
Journal:  Eur Radiol       Date:  2013-03-16       Impact factor: 5.315

6.  Menstrual cycle variation of apparent diffusion coefficients measured in the normal breast using MRI.

Authors:  S C Partridge; G C McKinnon; R G Henry; N M Hylton
Journal:  J Magn Reson Imaging       Date:  2001-10       Impact factor: 4.813

7.  Diagnostic performance of digital versus film mammography for breast-cancer screening.

Authors:  Etta D Pisano; Constantine Gatsonis; Edward Hendrick; Martin Yaffe; Janet K Baum; Suddhasatta Acharyya; Emily F Conant; Laurie L Fajardo; Lawrence Bassett; Carl D'Orsi; Roberta Jong; Murray Rebner
Journal:  N Engl J Med       Date:  2005-09-16       Impact factor: 91.245

8.  Correlations between diffusion-weighted imaging and breast cancer biomarkers.

Authors:  Laura Martincich; Veronica Deantoni; Ilaria Bertotto; Stefania Redana; Franziska Kubatzki; Ivana Sarotto; Valentina Rossi; Michele Liotti; Riccardo Ponzone; Massimo Aglietta; Daniele Regge; Filippo Montemurro
Journal:  Eur Radiol       Date:  2012-03-13       Impact factor: 5.315

9.  Accuracy of 18F-FDG PET/CT for primary tumor visualization and staging in T1 breast cancer.

Authors:  Bas B Koolen; Femke van der Leij; Wouter V Vogel; Emiel J Th Rutgers; Marie-Jeanne T F D Vrancken Peeters; Paula H M Elkhuizen; Renato A Valdés Olmos
Journal:  Acta Oncol       Date:  2013-05-14       Impact factor: 4.089

10.  MRI Background Parenchymal Enhancement Is Not Associated with Breast Cancer.

Authors:  Barbara Bennani-Baiti; Matthias Dietzel; Pascal Andreas Baltzer
Journal:  PLoS One       Date:  2016-07-05       Impact factor: 3.240

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  5 in total

1.  Physiologic and hypermetabolic breast 18-F FDG uptake on PET/CT during lactation.

Authors:  Noam Nissan; Israel Sandler; Michal Eifer; Yael Eshet; Tima Davidson; Hanna Bernstine; David Groshar; Miri Sklair-Levy; Liran Domachevsky
Journal:  Eur Radiol       Date:  2020-08-04       Impact factor: 5.315

2.  High-background parenchymal enhancement in the contralateral breast is an imaging biomarker for favorable prognosis in patients with triple-negative breast cancer treated with chemotherapy.

Authors:  Chuanhui Xu; Jinhui Yu; Feifei Wu; Xuemei Li; Dongmin Hu; Guiming Chen; Gang Wu
Journal:  Am J Transl Res       Date:  2021-05-15       Impact factor: 4.060

Review 3.  Identification of Tumor-Specific MRI Biomarkers Using Machine Learning (ML).

Authors:  Rima Hajjo; Dima A Sabbah; Sanaa K Bardaweel; Alexander Tropsha
Journal:  Diagnostics (Basel)       Date:  2021-04-21

4.  Evaluation of primary breast cancers using dedicated breast PET and whole-body PET.

Authors:  Deep K Hathi; Wen Li; Youngho Seo; Robert R Flavell; John Kornak; Benjamin L Franc; Bonnie N Joe; Laura J Esserman; Nola M Hylton; Ella F Jones
Journal:  Sci Rep       Date:  2020-12-14       Impact factor: 4.379

Review 5.  Clinical Perspectives for 18F-FDG PET Imaging in Pediatric Oncology: Μetabolic Tumor Volume and Radiomics.

Authors:  Vassiliki Lyra; Sofia Chatziioannou; Maria Kallergi
Journal:  Metabolites       Date:  2022-02-28
  5 in total

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