Literature DB >> 29516387

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

Koosha Paydary1, Siavash Mehdizadeh Seraj1, Mahdi Zirakchian Zadeh2, Sahra Emamzadehfard1, Sara Pourhassan Shamchi1, Saeid Gholami1, Thomas J Werner1, Abass Alavi3,4.   

Abstract

The applications of 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography/X-ray computed tomography (PET/CT) in the management of patients with breast cancer have been extensively studied. According to these studies, PET/CT is not routinely performed for the diagnosis of primary breast cancer, although PET/CT in specific subtypes of breast cancer correlates with histopathologic features of the primary tumor. PET/CT can detect metastases to mediastinal, axial, and internal mammary nodes, but it cannot replace the sentinel node biopsy. In detection of distant metastases, this imaging tool may have a better accuracy in detecting lytic bone metastases compared to bone scintigraphy. Thus, PET/CT is recommended when advanced-stage disease is suspected, and conventional modalities are inconclusive. Also, PET/CT has a high sensitivity and specificity to detect loco-regional recurrence and is recommended in asymptomatic patients with rising tumor markers. Numerous studies support the future role of PET/CT in prediction of response to neoadjuvant chemotherapy (NAC). PET/CT has a higher diagnostic value for prognostic risk stratification in comparison with conventional modalities. With the continuing research on the treatment planning and evaluation of patients with breast cancer, the role of PET/CT can be further extended.

Entities:  

Keywords:  Breast neoplasms; Positron emission tomography/computed tomography; [18F]FDG

Mesh:

Substances:

Year:  2019        PMID: 29516387     DOI: 10.1007/s11307-018-1181-3

Source DB:  PubMed          Journal:  Mol Imaging Biol        ISSN: 1536-1632            Impact factor:   3.488


  95 in total

Review 1.  The use of FDG-PET in assessing axillary lymph node status in breast cancer: a systematic review and meta-analysis of the literature.

Authors:  Rebecca Peare; R T Staff; S D Heys
Journal:  Breast Cancer Res Treat       Date:  2010-02-07       Impact factor: 4.872

Review 2.  18FDG PET-CT for diagnosis of distant metastases in breast cancer patients. A meta-analysis.

Authors:  Shikai Hong; Junhong Li; Shengying Wang
Journal:  Surg Oncol       Date:  2013-04-05       Impact factor: 3.279

Review 3.  The current status of positron emission mammography in breast cancer diagnosis.

Authors:  Vasileios Kalles; George C Zografos; Xeni Provatopoulou; Dimitra Koulocheri; Antonia Gounaris
Journal:  Breast Cancer       Date:  2012-12-13       Impact factor: 4.239

4.  Tumour and lymph node uptakes on dual-phased 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography/computed tomography correlate with prognostic parameters in breast cancer.

Authors:  Chin-Chuan Chang; Hung-Pin Tu; Yu-Wen Chen; Chia-Yang Lin; Ming-Feng Hou
Journal:  J Int Med Res       Date:  2014-10-22       Impact factor: 1.671

Review 5.  Recurrent and metastatic breast cancer PET, PET/CT, PET/MRI: FDG and new biomarkers.

Authors:  C M Gaeta; J L Vercher-Conejero; A C Sher; A Kohan; C Rubbert; N Avril
Journal:  Q J Nucl Med Mol Imaging       Date:  2013-12       Impact factor: 2.346

Review 6.  Performance of FDG PET/CT in the clinical management of breast cancer.

Authors:  David Groheux; Marc Espié; Sylvie Giacchetti; Elif Hindié
Journal:  Radiology       Date:  2012-12-06       Impact factor: 11.105

7.  Retrospective analysis of 18F-FDG PET/CT for staging asymptomatic breast cancer patients younger than 40 years.

Authors:  Christopher C Riedl; Elina Slobod; Maxine Jochelson; Monica Morrow; Debra A Goldman; Mithat Gonen; Wolfgang A Weber; Gary A Ulaner
Journal:  J Nucl Med       Date:  2014-09-11       Impact factor: 10.057

8.  Partial volume corrected 18F-FDG PET mean standardized uptake value correlates with prognostic factors in breast cancer.

Authors:  F Gallivanone; C Canevari; I Sassi; V Zuber; A Marassi; L Gianolli; M Picchio; C Messa; M C Gilardi; I Castiglioni
Journal:  Q J Nucl Med Mol Imaging       Date:  2014-04-15       Impact factor: 2.346

9.  Standardized uptake value of ¹⁸F-fluorodeoxyglucose positron emission tomography for prediction of tumor recurrence in breast cancer beyond tumor burden.

Authors:  Sung Gwe Ahn; Jong Tae Park; Hak Min Lee; Hak Woo Lee; Tae Joo Jeon; Kyunghwa Han; Seung Ah Lee; Seung Myung Dong; Young Hoon Ryu; Eun Ju Son; Joon Jeong
Journal:  Breast Cancer Res       Date:  2014       Impact factor: 6.466

10.  Diffusion-weighted imaging and FDG PET/CT: predicting the prognoses with apparent diffusion coefficient values and maximum standardized uptake values in patients with invasive ductal carcinoma.

Authors:  Bo Bae Choi; Sung Hun Kim; Bong Joo Kang; Ji Hye Lee; Byung Joo Song; Seung Hee Jeong; Hyeon Woo Yim
Journal:  World J Surg Oncol       Date:  2012-06-28       Impact factor: 2.754

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  25 in total

1.  Pretreatment volumetric parameters of FDG-PET predict the survival after Yttrium-90 radio-embolization in metastatic liver disease.

Authors:  Siavash Mehdizadeh Seraj; Mahdi Zirakchian Zadeh; Thomas J Werner; Hongming Zhuang; Terence Gade; Abass Alavi; Stephen J Hunt
Journal:  Am J Nucl Med Mol Imaging       Date:  2019-10-15

Review 2.  Dual-Mode Tumor Imaging Using Probes That Are Responsive to Hypoxia-Induced Pathological Conditions.

Authors:  S A Amali S Subasinghe; Robia G Pautler; Md Abul Hassan Samee; Jason T Yustein; Matthew J Allen
Journal:  Biosensors (Basel)       Date:  2022-06-30

3.  Aroylhydrazone Glycoconjugate Prochelators Exploit Glucose Transporter 1 (GLUT1) to Target Iron in Cancer Cells.

Authors:  Yu-Shien Sung; Baris Kerimoglu; Aikseng Ooi; Elisa Tomat
Journal:  ACS Med Chem Lett       Date:  2022-08-18       Impact factor: 4.632

4.  Diagnostic and Prognostic Role of 18F-Fluoroestradiol PET in Metastatic Breast Cancer: The Second Youth of an Older Theranostic Concept.

Authors:  Francesco Fiz; Gianluca Bottoni; Giorgio Treglia; Pierpaolo Trimboli; Arnoldo Piccardo
Journal:  J Clin Med       Date:  2022-06-22       Impact factor: 4.964

Review 5.  PET-CT in Clinical Adult Oncology: II. Primary Thoracic and Breast Malignancies.

Authors:  Matthew F Covington; Bhasker R Koppula; Gabriel C Fine; Ahmed Ebada Salem; Richard H Wiggins; John M Hoffman; Kathryn A Morton
Journal:  Cancers (Basel)       Date:  2022-05-29       Impact factor: 6.575

6.  18F-FHBG PET-CT Reporter Gene Imaging of Adoptive CIK Cell Transfer Immunotherapy for Breast Cancer in a Mouse Model.

Authors:  Xiaofeng Li; Guotao Yin; Wei Ji; Jianjing Liu; Yufan Zhang; Jian Wang; Xiang Zhu; Lei Zhu; Dong Dai; Wenchao Ma; Wengui Xu
Journal:  Onco Targets Ther       Date:  2020-11-13       Impact factor: 4.147

7.  Early SUVmax is the best predictor of axillary lymph node metastasis in stage III breast cancers.

Authors:  Jiangong Zhang; Xun Shi; Yong Xiao; Chao Ma; Gang Cao; Yongbo Liu; Yonggang Li
Journal:  Quant Imaging Med Surg       Date:  2021-05

8.  Early Assessment Window for Predicting Breast Cancer Neoadjuvant Therapy using Biomarkers, Ultrasound, and Diffuse Optical Tomography.

Authors:  Quing Zhu; Foluso O Ademuyiwa; Catherine Young; Catherine Appleton; Matthew F Covington; Cynthia Ma; Souzan Sanati; Ian S Hagemann; Atahar Mostafa; K M Shihab Uddin; Isabella Grigsby; Ashley E Frith; Leonel F Hernandez-Aya; Steven S Poplack
Journal:  Breast Cancer Res Treat       Date:  2021-05-10       Impact factor: 4.872

9.  68Ga-radiolabeled bombesin-conjugated to trimethyl chitosan-coated superparamagnetic nanoparticles for molecular imaging: preparation, characterization and biological evaluation.

Authors:  Maliheh Hajiramezanali; Fatemeh Atyabi; Mona Mosayebnia; Mehdi Akhlaghi; Parham Geramifar; Amir Reza Jalilian; Seyed Mohammad Mazidi; Hassan Yousefnia; Soraya Shahhosseini; Davood Beiki
Journal:  Int J Nanomedicine       Date:  2019-04-10

10.  Radiomics based on 18 F-FDG PET/CT could differentiate breast carcinoma from breast lymphoma using machine-learning approach: A preliminary study.

Authors:  Xuejin Ou; Jing Zhang; Jian Wang; Fuwen Pang; Yongsheng Wang; Xiawei Wei; Xuelei Ma
Journal:  Cancer Med       Date:  2019-11-25       Impact factor: 4.452

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