Literature DB >> 26781152

Evaluation of ¹⁸F-FDG PET/MRI, ¹⁸F-FDG PET/CT, MRI, and CT in whole-body staging of recurrent breast cancer.

Lino M Sawicki1, Johannes Grueneisen2, Benedikt M Schaarschmidt3, Christian Buchbender3, James Nagarajah4, Lale Umutlu2, Gerald Antoch3, Sonja Kinner2.   

Abstract

OBJECTIVES: To compare the diagnostic performance of (18)F-fluordesoxyglucose positron emission tomography/magnetic resonance imaging ((18)F-FDG PET/MRI) with (18)F-FDG PET/computed tomography ((18)F-FDG PET/CT), MRI, and CT in whole-body staging of recurrent breast cancer.
MATERIAL AND METHODS: Twenty-one consecutive patients (age 59.4 ± 11.5 years, range 38.5-76.9 years; 20 female, 1 male) with suspected breast cancer recurrence underwent a clinically indicated (18)F-FDG PET/CT and subsequently a (18)F-FDG PET/MRI examination in a single injection protocol (mean injected activity: 257 ± 44 MBq (18)F-FDG). Each (18)F-FDG PET/MRI, (18)F-FDG PET/CT, as well as the CT component of PET/CT (CTPET/CT) and MR images of PET/MRI (MRIPET/MRI) were separately evaluated by two radiologists regarding lesion count, lesion localization, and lesion categorization (benign/malignant). The reference standard was based on histopathological results as well as prior and follow-up imaging. A Wilcoxon test assessed differences in SUVmax between (18)F-FDG PET/MRI and (18)F-FDG PET/CT. Correlation of SUVmax between (18)F-FDG PET/MRI and (18)F-FDG PET/CT was calculated using Pearson's correlation coefficient. Interobserver agreement on dignity ratings was evaluated using Cohen's kappa.
RESULTS: According to the reference standard, 17 patients had breast cancer recurrence. (18)F-FDG PET/MRI, (18)F-FDG PET/CT, and MRIPET/MRI correctly identified each of the 17 patients, whereas CTPET/CT correctly identified 15 of the 17 patients. A total of 134 lesions were described (116 malignant, 18 benign). (18)F-FDG PET/MRI detected all 134 lesions, of which (18)F-FDG PET/CT, MRIPET/MRI, and CTPET/CT detected 97.0%, 96.2%, and 74.6%, respectively. (18)F-FDG PET/MRI yielded the highest proportion of correctly categorized lesions (98.5%) compared with (18)F-FDG PET/CT (94.8%), MRIPET/MRI (88.1%), and CTPET/CT (57.5%). SUVmax was strongly correlated (r=0.72) but measured significantly higher on (18)F-FDG PET/MRI than on (18)F-FDG PET/CT in corresponding PET-positive lesions (SUVmax: 5.6 ± 2.8 vs. 4.9 ± 1.8; p=0.001). Interobserver agreement on lesion dignity was substantial with (18)F-FDG PET/MRI (k=0.65; p<0.001) and (18)F-FDG PET/CT (k=0.65; p<0.001). With MRIPET/MRI interobserver analysis yielded a moderate agreement (k=0.56; p<0.001), whereas there was only fair agreement evaluating the CTPET/CT datasets (k=0.31; p=0.002).
CONCLUSIONS: (18)F-FDG PET/MRI offered the highest diagnostic performance compared with (18)F-FDG PET/CT, MRI and CT. Thus, (18)F-FDG PET/MRI should be regarded as a valuable alternative in whole-body staging of recurrent breast cancer.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Breast cancer; CT; MRI; PET/CT; PET/MRI; Recurrent

Mesh:

Substances:

Year:  2015        PMID: 26781152     DOI: 10.1016/j.ejrad.2015.12.010

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  24 in total

1.  Integrated versus separate reading of F-18 FDG-PET/CT and MRI for abdominal malignancies - effect on staging outcomes and diagnostic confidence.

Authors:  Lisa A Min; Wouter V Vogel; Max J Lahaye; Monique Maas; Maarten L Donswijk; Erik Vegt; Miranda Kusters; Henry J Zijlmans; Katarzyna Jóźwiak; Sander Roberti; Regina G H Beets-Tan; Doenja M J Lambregts
Journal:  Eur Radiol       Date:  2019-05-22       Impact factor: 5.315

2.  What is the diagnostic performance of 18-FDG-PET/MR compared to PET/CT for the N- and M- staging of breast cancer?

Authors:  Diomidis Botsikas; Ilias Bagetakos; Marlise Picarra; Ana Carolina Da Cunha Afonso Barisits; Sana Boudabbous; Xavier Montet; Giang Thanh Lam; Ismini Mainta; Anastasia Kalovidouri; Minerva Becker
Journal:  Eur Radiol       Date:  2018-09-28       Impact factor: 5.315

Review 3.  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

4.  Imaging children suffering from lymphoma: an evaluation of different 18F-FDG PET/MRI protocols compared to whole-body DW-MRI.

Authors:  Julian Kirchner; Cornelius Deuschl; Bernd Schweiger; Ken Herrmann; Michael Forsting; Christian Buchbender; Gerald Antoch; Lale Umutlu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-05-22       Impact factor: 9.236

5.  Local and whole-body staging in patients with primary breast cancer: a comparison of one-step to two-step staging utilizing 18F-FDG-PET/MRI.

Authors:  Julian Kirchner; Johannes Grueneisen; Ole Martin; Mark Oehmigen; Harald H Quick; Ann-Kathrin Bittner; Oliver Hoffmann; Marc Ingenwerth; Onofrio Antonio Catalano; Philipp Heusch; Christian Buchbender; Michael Forsting; Gerald Antoch; Ken Herrmann; Lale Umutlu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-07-28       Impact factor: 9.236

Review 6.  Clinical PET-MR Imaging in Breast Cancer and Lung Cancer.

Authors:  Samuel L Rice; Kent P Friedman
Journal:  PET Clin       Date:  2016-10

7.  18F-FDG PET/MRI in patients suffering from lymphoma: how much MRI information is really needed?

Authors:  Julian Kirchner; Cornelius Deuschl; Johannes Grueneisen; Ken Herrmann; Michael Forsting; Philipp Heusch; Gerald Antoch; Lale Umutlu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-02-04       Impact factor: 9.236

Review 8.  Breast PET/MR Imaging.

Authors:  Amy Melsaether; Linda Moy
Journal:  Radiol Clin North Am       Date:  2017-02-01       Impact factor: 2.303

9.  Hybrid PET/MRI in major cancers: a scoping review.

Authors:  Anni Morsing; Malene Grubbe Hildebrandt; Mie Holm Vilstrup; Sara Elisabeth Wallenius; Oke Gerke; Henrik Petersen; Allan Johansen; Thomas Lund Andersen; Poul Flemming Høilund-Carlsen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-07-02       Impact factor: 9.236

Review 10.  Detecting Tumor Metastases: The Road to Therapy Starts Here.

Authors:  M E Menezes; S K Das; I Minn; L Emdad; X-Y Wang; D Sarkar; M G Pomper; P B Fisher
Journal:  Adv Cancer Res       Date:  2016-08-17       Impact factor: 6.242

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.