Literature DB >> 26063885

Multiparametric and Multimodality Functional Radiological Imaging for Breast Cancer Diagnosis and Early Treatment Response Assessment.

Michael A Jacobs1, Antonio C Wolff2, Katarzyna J Macura2, Vered Stearns2, Ronald Ouwerkerk2, Riham El Khouli2, David A Bluemke2, Richard Wahl2.   

Abstract

Breast cancer is the second leading cause of cancer death among US women, and the chance of a woman developing breast cancer sometime during her lifetime is one in eight. Early detection and diagnosis to allow appropriate locoregional and systemic treatment are key to improve the odds of surviving its diagnosis. Emerging data also suggest that different breast cancer subtypes (phenotypes) may respond differently to available adjuvant therapies. There is a growing understanding that not all patients benefit equally from systemic therapies, and therapeutic approaches are being increasingly personalized based on predictive biomarkers of clinical benefit. Optimal use of established and novel radiological imaging methods, such as magnetic resonance imaging and positron emission tomography, which have different biophysical mechanisms can simultaneously identify key functional parameters. These methods provide unique multiparametric radiological signatures of breast cancer, that will improve the accuracy of early diagnosis, help select appropriate therapies for early stage disease, and allow early assessment of therapeutic benefit.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2015        PMID: 26063885      PMCID: PMC4481707          DOI: 10.1093/jncimonographs/lgv014

Source DB:  PubMed          Journal:  J Natl Cancer Inst Monogr        ISSN: 1052-6773


  61 in total

1.  New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada.

Authors:  P Therasse; S G Arbuck; E A Eisenhauer; J Wanders; R S Kaplan; L Rubinstein; J Verweij; M Van Glabbeke; A T van Oosterom; M C Christian; S G Gwyther
Journal:  J Natl Cancer Inst       Date:  2000-02-02       Impact factor: 13.506

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Journal:  NMR Biomed       Date:  1999-11       Impact factor: 4.044

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Journal:  Radiology       Date:  1989-03       Impact factor: 11.105

4.  Diffusion-weighted MR imaging of acute stroke: correlation with T2-weighted and magnetic susceptibility-enhanced MR imaging in cats.

Authors:  M E Moseley; J Kucharczyk; J Mintorovitch; Y Cohen; J Kurhanewicz; N Derugin; H Asgari; D Norman
Journal:  AJNR Am J Neuroradiol       Date:  1990-05       Impact factor: 3.825

5.  Diffusion magnetic resonance imaging: an early surrogate marker of therapeutic efficacy in brain tumors.

Authors:  T L Chenevert; L D Stegman; J M Taylor; P L Robertson; H S Greenberg; A Rehemtulla; B D Ross
Journal:  J Natl Cancer Inst       Date:  2000-12-20       Impact factor: 13.506

6.  Blood flow and metabolism in locally advanced breast cancer: relationship to response to therapy.

Authors:  David A Mankoff; Lisa K Dunnwald; Julie R Gralow; Georgiana K Ellis; Aaron Charlop; Thomas J Lawton; Erin K Schubert; Jeffrey Tseng; Robert B Livingston
Journal:  J Nucl Med       Date:  2002-04       Impact factor: 10.057

Review 7.  PET: the merging of biology and imaging into molecular imaging.

Authors:  M E Phelps
Journal:  J Nucl Med       Date:  2000-04       Impact factor: 10.057

8.  Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging.

Authors:  Yong Guo; You-Quan Cai; Zu-Long Cai; Yuan-Gui Gao; Ning-Yu An; Lin Ma; Srikanth Mahankali; Jia-Hong Gao
Journal:  J Magn Reson Imaging       Date:  2002-08       Impact factor: 4.813

9.  PET with [18F]fluorothymidine for imaging of primary breast cancer: a pilot study.

Authors:  Brigitte Smyczek-Gargya; Nikos Fersis; Helmut Dittmann; Ulrich Vogel; Gerald Reischl; Hans-Juergen Machulla; Diethelm Wallwiener; Roland Bares; Bernhard M Dohmen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-02-19       Impact factor: 9.236

10.  Evaluation of total choline from in-vivo volume localized proton MR spectroscopy and its response to neoadjuvant chemotherapy in locally advanced breast cancer.

Authors:  N R Jagannathan; M Kumar; V Seenu; O Coshic; S N Dwivedi; P K Julka; A Srivastava; G K Rath
Journal:  Br J Cancer       Date:  2001-04-20       Impact factor: 7.640

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  5 in total

Review 1.  The Evolving Role of FDG-PET/CT in the Diagnosis, Staging, and Treatment of Breast Cancer.

Authors:  Koosha Paydary; Siavash Mehdizadeh Seraj; Mahdi Zirakchian Zadeh; Sahra Emamzadehfard; Sara Pourhassan Shamchi; Saeid Gholami; Thomas J Werner; Abass Alavi
Journal:  Mol Imaging Biol       Date:  2019-02       Impact factor: 3.488

Review 2.  Imaging Considerations and Interprofessional Opportunities in the Care of Breast Cancer Patients in the Neoadjuvant Setting.

Authors:  Anna G Sorace; Sara Harvey; Anum Syed; Thomas E Yankeelov
Journal:  Semin Oncol Nurs       Date:  2017-09-15       Impact factor: 2.315

3.  Impact of continuous learning on diagnostic breast MRI AI: evaluation on an independent clinical dataset.

Authors:  Hui Li; Heather M Whitney; Yu Ji; Alexandra Edwards; John Papaioannou; Peifang Liu; Maryellen L Giger
Journal:  J Med Imaging (Bellingham)       Date:  2022-06-06

4.  Multiparametric deep learning tissue signatures for a radiological biomarker of breast cancer: Preliminary results.

Authors:  Vishwa S Parekh; Katarzyna J Macura; Susan C Harvey; Ihab R Kamel; Riham Ei-Khouli; David A Bluemke; Michael A Jacobs
Journal:  Med Phys       Date:  2019-11-22       Impact factor: 4.071

Review 5.  23 Na-MRI as a Noninvasive Biomarker for Cancer Diagnosis and Prognosis.

Authors:  Linda Osei Poku; M Phil; Yongna Cheng; Kai Wang; Xilin Sun
Journal:  J Magn Reson Imaging       Date:  2020-03-26       Impact factor: 4.813

  5 in total

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