Literature DB >> 30100078

Role of Fludeoxyglucose in Breast Cancer: Treatment Response.

David Groheux1.   

Abstract

After an overview of the principles of fludeoxyglucose-PET/computed tomography (CT) in breast cancer, its advantages and limits to evaluate treatment response are discussed. The metabolic information is helpful for early assessment of the response to neoadjuvant chemotherapy and could be used to monitor treatment, especially in aggressive breast cancer subtypes. PET/CT is also a powerful method for early assessment of the treatment response in the metastatic setting. It allows evaluation of different sites of metastases in a single examination and detection of a heterogeneous response. However, to use PET/CT to assess responses, methodology for image acquisition and analysis needs standardization.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast cancer; FDG-PET/CT; Metastatic breast cancer; Neoadjuvant chemotherapy; Treatment response

Mesh：

Substances：

Year:  2018        PMID： 30100078     DOI： 10.1016/j.cpet.2018.02.003

Source DB:  PubMed          Journal:  PET Clin        ISSN： 1556-8598


  5 in total

1.  Simultaneous PET/MRI in the Evaluation of Breast and Prostate Cancer Using Combined Na[18F] F and [18F]FDG: a Focus on Skeletal Lesions.

Authors:  Ida Sonni; Ryogo Minamimoto; Lucia Baratto; Sanjiv S Gambhir; Andreas M Loening; Shreyas S Vasanawala; Andrei Iagaru
Journal:  Mol Imaging Biol       Date:  2020-04       Impact factor: 3.488

2.  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

Review 3.  Novel applications of molecular imaging to guide breast cancer therapy.

Authors:  Christine E Edmonds; Sophia R O'Brien; David A Mankoff; Austin R Pantel
Journal:  Cancer Imaging       Date:  2022-06-21       Impact factor: 5.605

4.  Analysis of Cross-Combinations of Feature Selection and Machine-Learning Classification Methods Based on [18F]F-FDG PET/CT Radiomic Features for Metabolic Response Prediction of Metastatic Breast Cancer Lesions.

Authors:  Ober Van Gómez; Joaquin L Herraiz; José Manuel Udías; Alexander Haug; Laszlo Papp; Dania Cioni; Emanuele Neri
Journal:  Cancers (Basel)       Date:  2022-06-14       Impact factor: 6.575

5.  FDG-PET/CT for Response Monitoring in Metastatic Breast Cancer: The Feasibility and Benefits of Applying PERCIST.

Authors:  Marianne Vogsen; Jakob Lykke Bülow; Lasse Ljungstrøm; Hjalte Rasmus Oltmann; Tural Asgharzadeh Alamdari; Mohammad Naghavi-Behzad; Poul-Erik Braad; Oke Gerke; Malene Grubbe Hildebrandt
Journal:  Diagnostics (Basel)       Date:  2021-04-19
  5 in total

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