Literature DB >> 23023940

Tumor volume and subvolume concordance between FDG-PET/CT and diffusion-weighted MRI for squamous cell carcinoma of the cervix.

Jeffrey R Olsen1, Jacqueline Esthappan, Todd DeWees, Vamsi R Narra, Farrokh Dehdashti, Barry A Siegel, Julie K Schwarz, Perry W Grigsby.   

Abstract

PURPOSE: To compare [(18)F]fluorodeoxyglucose (FDG)/positron emission tomography (PET)/computed tomography (CT) and magnetic resonance imaging (MRI) for evaluating patients with cervical cancer. We compared tumor characteristics on FDG-PET and apparent diffusion coefficient (ADC) maps on diffusion-weighted MRI (DWI) to evaluate concordance of two functional imaging techniques.
MATERIALS AND METHODS: Twenty women with cervical cancer underwent pretreatment FDG-PET/CT and pelvic MRI. Images were rigidly fused by pelvic anatomy using coregistration software. Tumor contours on PET images were generated by autosegmentation of the region containing at least 40% of the maximum standardized uptake value (SUV). DWI contours were generated by manual segmentation. Tumor volume similarity was evaluated using the [PET]/[ADC] volume proportion, Dice's coefficient, and the mean SUV isothreshold at the surface of each ADC contour. Tumor subvolume similarity was evaluated with analysis of variance (ANOVA).
RESULTS: The [PET]/[ADC] volume proportion was 0.88 ± 0.14. Dice's coefficient between PET and ADC tumor contours was 0.76 ± 0.06. The mean SUV isothreshold at the ADC-delineated tumor surface was 34 ± 4%. Subvolumes with increased metabolic activity on FDG-PET also had more restricted diffusion on DWI (P < 0.0001, ANOVA).
CONCLUSION: Concordance of functional imaging was observed between FDG-PET and DWI for cervical cancer. Tumor subvolumes with increased metabolic activity on FDG-PET also have greater cell density by DWI.
Copyright © 2012 Wiley Periodicals, Inc.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23023940      PMCID: PMC3541467          DOI: 10.1002/jmri.23830

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  19 in total

1.  Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas.

Authors:  T Sugahara; Y Korogi; M Kochi; I Ikushima; Y Shigematu; T Hirai; T Okuda; L Liang; Y Ge; Y Komohara; Y Ushio; M Takahashi
Journal:  J Magn Reson Imaging       Date:  1999-01       Impact factor: 4.813

Review 2.  Diffusion MR imaging. Theory and applications.

Authors:  H A Rowley; P E Grant; T P Roberts
Journal:  Neuroimaging Clin N Am       Date:  1999-05       Impact factor: 2.264

3.  Change in T2-fat saturation MRI correlates with outcome in cervical cancer patients.

Authors:  Daniel J Ma; Jian-Ming Zhu; Perry W Grigsby
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-06-09       Impact factor: 7.038

4.  Measurement of tumor volume by PET to evaluate prognosis in patients with advanced cervical cancer treated by radiation therapy.

Authors:  Tom R Miller; Perry W Grigsby
Journal:  Int J Radiat Oncol Biol Phys       Date:  2002-06-01       Impact factor: 7.038

5.  Measurement of cell density and necrotic fraction in human melanoma xenografts by diffusion weighted magnetic resonance imaging.

Authors:  H Lyng; O Haraldseth; E K Rofstad
Journal:  Magn Reson Med       Date:  2000-06       Impact factor: 4.668

6.  18F-fluorodeoxyglucose-positron emission tomography and pathologic tumor size in early-stage invasive cervical cancer.

Authors:  Timothy N Showalter; Tom R Miller; Phyllis Huettner; Janet Rader; Perry W Grigsby
Journal:  Int J Gynecol Cancer       Date:  2009-11       Impact factor: 3.437

7.  Diffusion-weighted magnetic resonance imaging of uterine cervical cancer.

Authors:  Ying Liu; Renju Bai; Haoran Sun; Haidong Liu; Dehua Wang
Journal:  J Comput Assist Tomogr       Date:  2009 Nov-Dec       Impact factor: 1.826

8.  Intratumoral metabolic heterogeneity of cervical cancer.

Authors:  Elizabeth A Kidd; Perry W Grigsby
Journal:  Clin Cancer Res       Date:  2008-08-15       Impact factor: 12.531

9.  The standardized uptake value for F-18 fluorodeoxyglucose is a sensitive predictive biomarker for cervical cancer treatment response and survival.

Authors:  Elizabeth A Kidd; Barry A Siegel; Farrokh Dehdashti; Perry W Grigsby
Journal:  Cancer       Date:  2007-10-15       Impact factor: 6.860

10.  Diffusion-weighted MRI in cervical cancer.

Authors:  Patrick Z McVeigh; Aejaz M Syed; Michael Milosevic; Anthony Fyles; Masoom A Haider
Journal:  Eur Radiol       Date:  2008-01-12       Impact factor: 5.315

View more
  14 in total

1.  Prognostic model based on magnetic resonance imaging, whole-tumour apparent diffusion coefficient values and HPV genotyping for stage IB-IV cervical cancer patients following chemoradiotherapy.

Authors:  Gigin Lin; Lan-Yan Yang; Yu-Chun Lin; Yu-Ting Huang; Feng-Yuan Liu; Chun-Chieh Wang; Hsin-Ying Lu; Hsin-Ju Chiang; Yu-Ruei Chen; Ren-Chin Wu; Koon-Kwan Ng; Ji-Hong Hong; Tzu-Chen Yen; Chyong-Huey Lai
Journal:  Eur Radiol       Date:  2018-07-26       Impact factor: 5.315

2.  Volume Delineation in Cervical Cancer With T2 and Diffusion-weighted MRI: Agreement on Volumes Between Observers.

Authors:  Consuelo Rosa; Andrea Delli Pizzi; Antonietta Augurio; Luciana Caravatta; Monica DI Tommaso; Erica Mincuzzi; Sebastiano Cinalli; Raffaella Basilico; Annamaria Porreca; Marta DI Nicola; Domenico Genovesi
Journal:  In Vivo       Date:  2020 Jul-Aug       Impact factor: 2.155

3.  Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy.

Authors:  Stephen R Bowen; William T C Yuh; Daniel S Hippe; Wei Wu; Savannah C Partridge; Saba Elias; Guang Jia; Zhibin Huang; George A Sandison; Dennis Nelson; Michael V Knopp; Simon S Lo; Paul E Kinahan; Nina A Mayr
Journal:  J Magn Reson Imaging       Date:  2017-10-16       Impact factor: 4.813

Review 4.  Clinical applications for diffusion magnetic resonance imaging in radiotherapy.

Authors:  Christina Tsien; Yue Cao; Thomas Chenevert
Journal:  Semin Radiat Oncol       Date:  2014-07       Impact factor: 5.934

5.  Anatomical and functional volume concordance between FDG PET, and T2 and diffusion-weighted MRI for cervical cancer: a hybrid PET/MR study.

Authors:  Hongzan Sun; Jun Xin; Shaomin Zhang; Qiyong Guo; Yueyue Lu; Wei Zhai; Long Zhao; Weiai Peng; Baijun Wang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-01-25       Impact factor: 9.236

Review 6.  Brachytherapy in cancer cervix: Time to move ahead from point A?

Authors:  Anurita Srivastava; Niloy Ranjan Datta
Journal:  World J Clin Oncol       Date:  2014-10-10

7.  Long-Term Outcomes of Cervical Cancer Patients Treated With Definitive Chemoradiation Following a Complete Metabolic Response.

Authors:  A J Lin; F Dehdashti; L S Massad; P H Thaker; M A Powell; D G Mutch; J K Schwarz; S Markovina; B A Siegel; P W Grigsby
Journal:  Clin Oncol (R Coll Radiol)       Date:  2021-02-11       Impact factor: 4.126

8.  Repeatability of 18F-FDG PET Radiomic Features in Cervical Cancer.

Authors:  John P Crandall; Tyler J Fraum; MinYoung Lee; Linda Jiang; Perry Grigsby; Richard L Wahl
Journal:  J Nucl Med       Date:  2020-10-02       Impact factor: 10.057

9.  Functional imaging of hepatocellular carcinoma using diffusion-weighted MRI and (18)F-FDG PET/CT in patients on waiting-list for liver transplantation.

Authors:  Samia Boussouar; Emmanuel Itti; Shih-Jui Lin; Thomas Decaens; Eva Evangelista; Melanie Chiaradia; Julia Chalaye; Laurence Baranes; Julien Calderaro; Alexis Laurent; Frederic Pigneur; Christophe Duvoux; Daniel Azoulay; Charlotte Costentin; Alain Rahmouni; Alain Luciani
Journal:  Cancer Imaging       Date:  2016-02-16       Impact factor: 3.909

10.  Pre-treatment MRI minimum apparent diffusion coefficient value is a potential prognostic imaging biomarker in cervical cancer patients treated with definitive chemoradiation.

Authors:  Daniel Grossi Marconi; Jose Humberto Tavares Guerreiro Fregnani; Rodrigo Ribeiro Rossini; Ana Karina Borges Junqueira Netto; Fabiano Rubião Lucchesi; Audrey Tieko Tsunoda; Mitchell Kamrava
Journal:  BMC Cancer       Date:  2016-07-28       Impact factor: 4.430

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.