Literature DB >> 24963052

Improved differentiation of benign and malignant breast tumors with multiparametric 18fluorodeoxyglucose positron emission tomography magnetic resonance imaging: a feasibility study.

Katja Pinker1, Wolfgang Bogner2, Pascal Baltzer1, Georgios Karanikas3, Heinrich Magometschnigg1, Peter Brader1, Stephan Gruber2, Hubert Bickel1, Peter Dubsky4, Zsuzsanna Bago-Horvath5, Rupert Bartsch6, Michael Weber3, Siegfried Trattnig2, Thomas H Helbich7.   

Abstract

PURPOSE: To assess whether multiparametric (18)fluorodeoxyglucose positron emission tomography magnetic resonance imaging (MRI) (MP (18)FDG PET-MRI) using dynamic contrast-enhanced MRI (DCE-MRI), diffusion-weighted imaging (DWI), three-dimensional proton MR spectroscopic imaging (3D (1)H-MRSI), and (18)FDG-PET enables an improved differentiation of benign and malignant breast tumors. EXPERIMENTAL
DESIGN: Seventy-six female patients (mean age, 55.7 years; range, 25-86 years) with an imaging abnormality (BI-RADS 0, 4-5) were included in this Institutional Review Board (IRB)-approved study. Patients underwent fused PET-MRI of the breast with (18)FDG-PET/CT and MP MRI at 3T. The likelihood of malignancy was assessed for all single parameters, for MP MRI with two/three parameters, and for MP (18)FDG PET-MRI. Histopathology was used as the standard of reference. Appropriate statistical tests were used to assess sensitivity, specificity, and diagnostic accuracy for each assessment combination.
RESULTS: There were 53 malignant and 23 benign breast lesions. MP (18)FDG PET-MRI yielded a significantly higher area under the cure (AUC) of 0.935 than DCE-MRI (AUC, 0.86; P = 0.044) and the combination of DCE-MRI and another parameter (AUC, 0.761-0.826; P = 0.013-0.020). MP (18)FDG PET-MRI showed slight further improvement to MP MRI with three parameters (AUC, 0.925; P = 0.317). Using MP (18)FDG PET-MRI there would have been a reduction of the unnecessary breast biopsies recommended by MP imaging with one or two parameters (P = 0.002-0.011).
CONCLUSION: This feasibility study shows that MP (18)FDG PET-MRI enables an improved differentiation of benign and malignant breast tumors when several MRI and PET parameters are combined. MP (18)FDG PET-MRI may lead to a reduction in unnecessary breast biopsies. ©2014 American Association for Cancer Research.

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Year:  2014        PMID: 24963052     DOI: 10.1158/1078-0432.CCR-13-2810

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  33 in total

1.  A simple scoring system for breast MRI interpretation: does it compensate for reader experience?

Authors:  Maria Adele Marino; Paola Clauser; Ramona Woitek; Georg J Wengert; Panagiotis Kapetas; Maria Bernathova; Katja Pinker-Domenig; Thomas H Helbich; Klaus Preidler; Pascal A T Baltzer
Journal:  Eur Radiol       Date:  2015-10-29       Impact factor: 5.315

2.  Diffusion-Weighted Imaging With Apparent Diffusion Coefficient Mapping for Breast Cancer Detection as a Stand-Alone Parameter: Comparison With Dynamic Contrast-Enhanced and Multiparametric Magnetic Resonance Imaging.

Authors:  Katja Pinker; Linda Moy; Elizabeth J Sutton; Ritse M Mann; Michael Weber; Sunitha B Thakur; Maxine S Jochelson; Zsuzsanna Bago-Horvath; Elizabeth A Morris; Pascal At Baltzer; Thomas H Helbich
Journal:  Invest Radiol       Date:  2018-10       Impact factor: 6.016

3.  Breast cancer: a new imaging approach as an addition to existing guidelines.

Authors:  Monique D Dorrius; Erik F J de Vries; Riemer H J A Slart; Andor W J M Glaudemans
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-03-12       Impact factor: 9.236

4.  Clinical utility of 18F-FDG-PET/MR for preoperative breast cancer staging.

Authors:  Diomidis Botsikas; Anastasia Kalovidouri; Minerva Becker; Michele Copercini; Dahila Amal Djema; Alexandre Bodmer; Sindy Monnier; Christoph D Becker; Xavier Montet; Benedicte M A Delattre; Osman Ratib; Valentina Garibotto; Claire Tabouret-Viaud
Journal:  Eur Radiol       Date:  2015-10-17       Impact factor: 5.315

5.  MRI fused with prone FDG PET/CT improves the primary tumour staging of patients with breast cancer.

Authors:  Maria J Garcia-Velloso; Maria J Ribelles; Macarena Rodriguez; Alejandro Fernandez-Montero; Lidia Sancho; Elena Prieto; Marta Santisteban; Natalia Rodriguez-Spiteri; Miguel A Idoate; Fernando Martinez-Regueira; Arlette Elizalde; Luis J Pina
Journal:  Eur Radiol       Date:  2016-12-21       Impact factor: 5.315

Review 6.  Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks.

Authors:  Jeremy R Burt; Neslisah Torosdagli; Naji Khosravan; Harish RaviPrakash; Aliasghar Mortazi; Fiona Tissavirasingham; Sarfaraz Hussein; Ulas Bagci
Journal:  Br J Radiol       Date:  2018-04-10       Impact factor: 3.039

7.  Automated Semi-Quantitative Analysis of Breast MRI: Potential Imaging Biomarker for the Prediction of Tissue Response to Neoadjuvant Chemotherapy.

Authors:  Matthias Dietzel; Clemens Kaiser; Katja Pinker; Evelyn Wenkel; Matthias Hammon; Michael Uder; Barbara Bennani Baiti; Paola Clauser; Rüdiger Schulz-Wendtland; Pascal Baltzer
Journal:  Breast Care (Basel)       Date:  2017-08-29       Impact factor: 2.860

8.  Measuring Glucose Uptake in Primary Invasive Breast Cancer Using Simultaneous Time-of-Flight Breast PET/MRI: A Method Comparison Study with Prone PET/CT.

Authors:  Amy M Fowler; Manoj Kumar; Leah Henze Bancroft; Kelley Salem; Jacob M Johnson; Jillian Karow; Scott B Perlman; Tyler J Bradshaw; Samuel A Hurley; Alan B McMillan; Roberta M Strigel
Journal:  Radiol Imaging Cancer       Date:  2021-01-15

9.  Quantitative Multiparametric Breast Ultrasound: Application of Contrast-Enhanced Ultrasound and Elastography Leads to an Improved Differentiation of Benign and Malignant Lesions.

Authors:  Panagiotis Kapetas; Paola Clauser; Ramona Woitek; Georg J Wengert; Mathias Lazar; Katja Pinker; Thomas H Helbich; Pascal A T Baltzer
Journal:  Invest Radiol       Date:  2019-05       Impact factor: 6.016

Review 10.  [Multiparametric and molecular imaging of breast tumors with MRI and PET/MRI].

Authors:  K Pinker; M A Marino; A Dr Meyer-Baese; T H Helbich
Journal:  Radiologe       Date:  2016-07       Impact factor: 0.635

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