Literature DB >> 25998804

Short-term pretreatment DCE-MRI in prediction of outcome in locally advanced cervical cancer.

Kjersti V Lund1, Trude G Simonsen2, Tord Hompland2, Gunnar B Kristensen3, Einar K Rofstad4.   

Abstract

BACKGROUND AND
PURPOSE: Several investigators have indicated that dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has the potential to provide biomarkers for personalized treatment of cervical carcinoma. However, some clinical studies have suggested that treatment failure is associated with low tumor signal enhancement, whereas others have reported associations between high signal enhancement and poor outcome. The purpose of this investigation was to clear up these conflicting reports and to provide a method for identifying biomarkers that easily can be implemented in routine DCE-MRI diagnostics.
METHODS: The study involved 85 patients (FIGO stage IB through IVA) treated with concurrent chemoradiotherapy. Low-enhancing tumor volume (LETV) and low-enhancing tumor fraction (LETF), defined as the volume and fractional volume of low-enhancing voxels, respectively, were calculated from signal intensities recorded within 1 min after contrast administration by using two methods reported to give conflicting conclusions.
RESULTS: Multivariate analysis involving tumor volume, lymph node status, FIGO stage, and LETV or LETF revealed that LETV and LETF provided independent prognostic information on treatment outcome, independent of the method of calculation.
CONCLUSION: Low signal enhancement is associated with poor prognosis in cervical carcinoma, and biomarkers predicting poor outcome can be provided by short-term DCE-MRI without advanced image analysis.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cervical carcinoma; Concurrent chemoradiotherapy; DCE-MRI; Semiquantitative analysis; Treatment outcome

Mesh:

Substances:

Year:  2015        PMID: 25998804     DOI: 10.1016/j.radonc.2015.05.001

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  10 in total

Review 1.  The clinical utility of imaging methods used to measure hypoxia in cervical cancer.

Authors:  Joseph Waller; Benjamin Onderdonk; Ann Flood; Harold Swartz; Jaffer Shah; Asghar Shah; Bulent Aydogan; Howard Halpern; Yasmin Hasan
Journal:  Br J Radiol       Date:  2020-04-22       Impact factor: 3.039

Review 2.  What's New in Imaging for Gynecologic Cancer?

Authors:  Sairah R Khan; Mubarik Arshad; Kathryn Wallitt; Victoria Stewart; Nishat Bharwani; Tara D Barwick
Journal:  Curr Oncol Rep       Date:  2017-11-06       Impact factor: 5.075

Review 3.  Hypoxia in cervical cancer: from biology to imaging.

Authors:  Heidi Lyng; Eirik Malinen
Journal:  Clin Transl Imaging       Date:  2017-07-10

4.  Dynamic contrast-enhanced magnetic resonance imaging for pretreatment prediction of early chemo-radiotherapy response in larynx and hypopharynx carcinoma.

Authors:  Wei Guo; Dehong Luo; Xinyi Chen; Meng Lin; Lin Li; Yanfeng Zhao; Liang Yang; Lei Hu; Xinming Zhao; Chunwu Zhou
Journal:  Oncotarget       Date:  2017-05-16

Review 5.  The value of advanced MRI techniques in the assessment of cervical cancer: a review.

Authors:  Evelyn Dappa; Tania Elger; Annette Hasenburg; Christoph Düber; Marco J Battista; Andreas M Hötker
Journal:  Insights Imaging       Date:  2017-08-21

Review 6.  What Is the Role of Imaging at Primary Diagnostic Work-Up in Uterine Cervical Cancer?

Authors:  Ingfrid S Haldorsen; Njål Lura; Jan Blaakær; Daniela Fischerova; Henrica M J Werner
Journal:  Curr Oncol Rep       Date:  2019-07-29       Impact factor: 5.075

7.  Assessment of Early Response to Lung Cancer Chemotherapy by Semiquantitative Analysis of Dynamic Contrast-Enhanced MRI.

Authors:  Jiang Zhu; Jian Yun; Kaixiang Wang; Liangqing Liu; Jiangang Zheng; Li Mei; Jianxing Xu
Journal:  Dis Markers       Date:  2022-07-23       Impact factor: 3.464

8.  Assessment of Hypoxic Tissue Fraction and Prediction of Survival in Cervical Carcinoma by Dynamic Contrast-Enhanced MRI.

Authors:  Jon-Vidar Gaustad; Einar K Rofstad
Journal:  Front Oncol       Date:  2021-05-20       Impact factor: 6.244

9.  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

10.  DCE-MRI of locally-advanced carcinoma of the uterine cervix: Tofts analysis versus non-model-based analyses.

Authors:  Kjersti V Lund; Trude G Simonsen; Gunnar B Kristensen; Einar K Rofstad
Journal:  Radiat Oncol       Date:  2020-04-15       Impact factor: 3.481

  10 in total

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