Literature DB >> 34302185

Quantitative imaging of uterine cancers with diffusion-weighted MRI and 18-fluorodeoxyglucose PET/CT.

Madeleine Sertic1,2, Aoife Kilcoyne3,4, Onofrio Antonio Catalano3,4, Susanna I Lee3,4.   

Abstract

Imaging plays an important role in the diagnosis and treatment of women with uterine cervical and endometrial cancers. Quantitative imaging, through MRI, PET/CT, and hybrid PET/MRI, allows for characterization of primary tumors beyond anatomic and qualitative descriptors. MRI diffusion-weighted imaging (DWI) yields an apparent diffusion coefficient (ADC), which can be applied in both the pre-and post-treatment assessment of uterine tumors. PET/CT assesses metabolic activity, and measurement of tumor standardized uptake value (SUV) is a useful metric in the staging of uterine malignancies. Hybrid PET/MRI is an emerging modality that combines the soft tissue contrast of MRI with the molecular imaging capability of PET. This review provides an overview of these quantitative imaging modalities, and their current and potential roles in the assessment of uterine cervical and cancer.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Apparent diffusion coefficient (ADC); Female pelvic imaging; Gynecologic oncology; PET/MRI; Quantitative imaging; Standard uptake value (SUV)

Mesh:

Substances:

Year:  2021        PMID: 34302185     DOI: 10.1007/s00261-021-03218-1

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  66 in total

Review 1.  2018 FIGO Staging System for Uterine Cervical Cancer: Enter Cross-sectional Imaging.

Authors:  Susanna I Lee; Mostafa Atri
Journal:  Radiology       Date:  2019-05-28       Impact factor: 11.105

2.  Diffusion-weighted imaging in the abdomen and pelvis: concepts and applications.

Authors:  Aliya Qayyum
Journal:  Radiographics       Date:  2009-10       Impact factor: 5.333

Review 3.  Added value of diffusion-weighted acquisitions in MRI of the abdomen and pelvis.

Authors:  William A Moore; Gaurav Khatri; Ananth J Madhuranthakam; Robert D Sims; Ivan Pedrosa
Journal:  AJR Am J Roentgenol       Date:  2014-05       Impact factor: 3.959

Review 4.  MR Imaging for Incidental Adnexal Mass Characterization.

Authors:  William R Masch; Dania Daye; Susanna I Lee
Journal:  Magn Reson Imaging Clin N Am       Date:  2017-04-28       Impact factor: 2.266

Review 5.  FDG PET-CT of gynecologic cancers: pearls and pitfalls.

Authors:  Hima B Prabhakar; Jessica J Kraeft; John O Schorge; James A Scott; Susanna I Lee
Journal:  Abdom Imaging       Date:  2015-10

6.  Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.

Authors:  Hyuna Sung; Jacques Ferlay; Rebecca L Siegel; Mathieu Laversanne; Isabelle Soerjomataram; Ahmedin Jemal; Freddie Bray
Journal:  CA Cancer J Clin       Date:  2021-02-04       Impact factor: 508.702

Review 7.  Diffusion weighted magnetic resonance imaging of the breast: protocol optimization, interpretation, and clinical applications.

Authors:  Savannah C Partridge; Elizabeth S McDonald
Journal:  Magn Reson Imaging Clin N Am       Date:  2013-06-10       Impact factor: 2.266

8.  Cancer of the corpus uteri.

Authors:  Frédéric Amant; Mansoor Raza Mirza; Martin Koskas; Carien L Creutzberg
Journal:  Int J Gynaecol Obstet       Date:  2018-10       Impact factor: 3.561

9.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

Review 10.  Implementing diffusion-weighted MRI for body imaging in prospective multicentre trials: current considerations and future perspectives.

Authors:  N M deSouza; J M Winfield; J C Waterton; A Weller; M-V Papoutsaki; S J Doran; D J Collins; L Fournier; D Sullivan; T Chenevert; A Jackson; M Boss; S Trattnig; Y Liu
Journal:  Eur Radiol       Date:  2017-09-27       Impact factor: 5.315

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