Literature DB >> 31063423

PET/CT for Patients With Breast Cancer: Where Is the Clinical Impact?

Gary A Ulaner1,2.   

Abstract

OBJECTIVE. FDG PET/CT affects the management of patients with breast cancer in multiple settings, including initial staging, treatment response assessment, and evaluation of suspected recurrence. This article reviews the strengths and weaknesses of FDG PET/CT for the staging of the primary breast lesion, axillary and extraaxillary nodal metastases, and distant metastases. The utility of FDG PET/CT for measuring breast cancer treatment response is appraised and compared with other imaging modalities. The role that tumor histologic type may have on PET/CT interpretation is also discussed. CONCLUSION. Although FDG PET/CT is currently the PET modality with the greatest effect on clinical management of patients with breast cancer, novel radiotracers and imaging systems continue to broaden the application of PET for patients with breast cancer. National Comprehensive Cancer Network guidelines for FDG PET/CT for patients with breast cancer are reviewed. Emphasis is given where FDG PET/CT has shown clinical effect.

Entities:  

Keywords:  FDG; PET/CT; breast cancer

Mesh:

Year:  2019        PMID: 31063423     DOI: 10.2214/AJR.19.21177

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  20 in total

1.  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 2.  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

3.  Preoperative prediction of the pathological stage of advanced gastric cancer by 18F-fluoro-2-deoxyglucose positron emission tomography.

Authors:  Kota Yamada; Naoki Urakawa; Shingo Kanaji; Hiroshi Hasegawa; Masashi Yamamoto; Kimihiro Yamashita; Takeru Matsuda; Taro Oshikiri; Satoshi Suzuki; Yoshihiro Kakeji
Journal:  Sci Rep       Date:  2022-07-05       Impact factor: 4.996

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.  Diagnostic performance of a novel high-resolution dedicated axillary PET system in the assessment of regional nodal spread of disease in early breast cancer.

Authors:  Jingyi Cheng; Junjie Li; Guangyu Liu; Ruohong Shui; Sheng Chen; Benlong Yang; Zhimin Shao
Journal:  Quant Imaging Med Surg       Date:  2022-02

6.  FDG-PET/CT for Response Monitoring in Metastatic Breast Cancer: Today, Tomorrow, and Beyond.

Authors:  Malene Grubbe Hildebrandt; Jeppe Faurholdt Lauridsen; Marianne Vogsen; Jorun Holm; Mie Holm Vilstrup; Poul-Erik Braad; Oke Gerke; Mads Thomassen; Marianne Ewertz; Poul Flemming Høilund-Carlsen
Journal:  Cancers (Basel)       Date:  2019-08-15       Impact factor: 6.639

7.  Expanded criteria for pretreatment staging CT in breast cancer.

Authors:  N Roszkowski; S S Lam; E Copson; R I Cutress; R Oeppen
Journal:  BJS Open       Date:  2021-03-05

8.  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

9.  Evaluation of an Automatic Classification Algorithm Using Convolutional Neural Networks in Oncological Positron Emission Tomography.

Authors:  Pierre Pinochet; Florian Eude; Stéphanie Becker; Vijay Shah; Ludovic Sibille; Mathieu Nessim Toledano; Romain Modzelewski; Pierre Vera; Pierre Decazes
Journal:  Front Med (Lausanne)       Date:  2021-02-26

10.  Prospective evaluation of whole-body MRI and 18F-FDG PET/MRI in N and M staging of primary breast cancer patients.

Authors:  Nils Martin Bruckmann; Lino M Sawicki; Julian Kirchner; Ole Martin; Lale Umutlu; Ken Herrmann; Wolfgang Fendler; Ann-Kathrin Bittner; Oliver Hoffmann; Svjetlana Mohrmann; Frederic Dietzel; Marc Ingenwerth; Benedikt M Schaarschmidt; Yan Li; Bernd Kowall; Andreas Stang; Gerald Antoch; Christian Buchbender
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-04-24       Impact factor: 9.236

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