Literature DB >> 22014954

Dynamic contrast-enhanced MRI of cervical cancers: temporal percentile screening of contrast enhancement identifies parameters for prediction of chemoradioresistance.

Erlend K F Andersen1, Knut Håkon Hole, Kjersti V Lund, Kolbein Sundfør, Gunnar B Kristensen, Heidi Lyng, Eirik Malinen.   

Abstract

PURPOSE: To systematically screen the tumor contrast enhancement of locally advanced cervical cancers to assess the prognostic value of two descriptive parameters derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). METHODS AND MATERIALS: This study included a prospectively collected cohort of 81 patients who underwent DCE-MRI with gadopentetate dimeglumine before chemoradiotherapy. The following descriptive DCE-MRI parameters were extracted voxel by voxel and presented as histograms for each time point in the dynamic series: normalized relative signal increase (nRSI) and normalized area under the curve (nAUC). The first to 100th percentiles of the histograms were included in a log-rank survival test, resulting in p value and relative risk maps of all percentile-time intervals for each DCE-MRI parameter. The maps were used to evaluate the robustness of the individual percentile-time pairs and to construct prognostic parameters. Clinical endpoints were locoregional control and progression-free survival. The study was approved by the institutional ethics committee.
RESULTS: The p value maps of nRSI and nAUC showed a large continuous region of percentile-time pairs that were significantly associated with locoregional control (p < 0.05). These parameters had prognostic impact independent of tumor stage, volume, and lymph node status on multivariate analysis. Only a small percentile-time interval of nRSI was associated with progression-free survival.
CONCLUSIONS: The percentile-time screening identified DCE-MRI parameters that predict long-term locoregional control after chemoradiotherapy of cervical cancer.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22014954     DOI: 10.1016/j.ijrobp.2011.05.050

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  10 in total

Review 1.  Imaging hypoxia to improve radiotherapy outcome.

Authors:  Michael R Horsman; Lise Saksø Mortensen; Jørgen B Petersen; Morten Busk; Jens Overgaard
Journal:  Nat Rev Clin Oncol       Date:  2012-11-13       Impact factor: 66.675

2.  The Microenvironment of Cervical Carcinoma Xenografts: Associations with Lymph Node Metastasis and Its Assessment by DCE-MRI.

Authors:  Christine Ellingsen; Stefan Walenta; Tord Hompland; Wolfgang Mueller-Klieser; Einar K Rofstad
Journal:  Transl Oncol       Date:  2013-10-01       Impact factor: 4.243

Review 3.  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 4.  Magnetic resonance imaging of the tumor microenvironment in radiotherapy: perfusion, hypoxia, and metabolism.

Authors:  Masayuki Matsuo; Shingo Matsumoto; James B Mitchell; Murali C Krishna; Kevin Camphausen
Journal:  Semin Radiat Oncol       Date:  2014-07       Impact factor: 5.934

5.  Targeting cancer metabolism.

Authors:  Beverly A Teicher; W Marston Linehan; Lee J Helman
Journal:  Clin Cancer Res       Date:  2012-10-15       Impact factor: 12.531

6.  Dynamic contrast-enhanced MRI in endometrial carcinoma identifies patients at increased risk of recurrence.

Authors:  Ingfrid S Haldorsen; Renate Grüner; Jenny A Husby; Inger J Magnussen; Henrica M J Werner; Oyvind O Salvesen; Line Bjørge; Ingunn Stefansson; Lars A Akslen; Jone Trovik; Torfinn Taxt; Helga B Salvesen
Journal:  Eur Radiol       Date:  2013-06-04       Impact factor: 5.315

Review 7.  Hypoxia in cervical cancer: from biology to imaging.

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

Review 8.  Metabolomic Approaches in Cancer Epidemiology.

Authors:  Mukesh Verma; Hirendra Nath Banerjee
Journal:  Diseases       Date:  2015-08-11

Review 9.  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 10.  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

  10 in total

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