Literature DB >> 18425832

Diffusion-weighted magnetic resonance imaging allows monitoring of anticancer treatment effects in patients with soft-tissue sarcomas.

Oliver Dudeck1, Martin Zeile, Daniel Pink, Maciej Pech, Per-Ulf Tunn, Peter Reichardt, Wolf-Dieter Ludwig, Bernd Hamm.   

Abstract

PURPOSE: To determine if diffusion-weighted imaging (DWI) can be used as a surrogate marker of tumor response to anticancer therapy in patients with soft-tissue sarcomas.
MATERIALS AND METHODS: Magnetic resonance imaging (MRI) including echo-planar DWI sequences was performed prospectively in 23 consecutive patients with soft-tissue sarcomas before and after initiation of regional or systemic chemotherapy. The mean interval between initial and follow-up MRI was 56.9 +/- 23.2 days. Tumor volumes were determined by manual segmentation of tumor borders on contrast-enhanced T1-weighted images. The apparent diffusion coefficient (ADC) was calculated from corresponding sections of ADC maps on initial and follow-up DWI. Subsequently, changes in tumor volumes and ADC were correlated using the Pearson correlation coefficient.
RESULTS: A high degree of correlation was found when changes in tumor volumes and ADC values were compared (r = -0.925, P < 0.0001), regardless of the effectiveness of anticancer therapy expressed as changes of tumor volume.
CONCLUSION: DWI can be used as a supplement to morphologic imaging for the evaluation of tumor response to anticancer therapy in patients with soft-tissue sarcomas. As cellular changes are expected to precede morphologic changes in treated tumors, DWI performed at an early stage of fractionated therapy may provide unique prognostic information of its effectiveness. (c) 2008 Wiley-Liss, Inc.

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Year:  2008        PMID: 18425832     DOI: 10.1002/jmri.21358

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


  57 in total

1.  Measurement of SUVmax plus ADCmin of the primary tumour is a predictor of prognosis in patients with cervical cancer.

Authors:  Keiichiro Nakamura; Ikuo Joja; Junichi Kodama; Atsushi Hongo; Yuji Hiramatsu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-11-10       Impact factor: 9.236

Review 2.  Diffusion-weighted imaging in musculoskeletal radiology-clinical applications and future directions.

Authors:  Nicholas Bhojwani; Peter Szpakowski; Sasan Partovi; Martin H Maurer; Ulrich Grosse; Hendrik von Tengg-Kobligk; Lisa Zipp-Partovi; Nathan Fergus; Christos Kosmas; Konstantin Nikolaou; Mark R Robbin
Journal:  Quant Imaging Med Surg       Date:  2015-10

Review 3.  [Current state of neoadjuvant therapy of soft tissue sarcoma].

Authors:  M Lehnhardt; T Schmitt; M Bischof; A Daigeler; G Egerer
Journal:  Chirurg       Date:  2011-11       Impact factor: 0.955

4.  Multiparametric voxel-based analyses of standardized uptake values and apparent diffusion coefficients of soft-tissue tumours with a positron emission tomography/magnetic resonance system: Preliminary results.

Authors:  Koji Sagiyama; Yuji Watanabe; Ryotaro Kamei; Sungtak Hong; Satoshi Kawanami; Yoshihiro Matsumoto; Hiroshi Honda
Journal:  Eur Radiol       Date:  2017-06-20       Impact factor: 5.315

5.  Intravoxel incoherent motion imaging of tumor microenvironment in locally advanced breast cancer.

Authors:  E E Sigmund; G Y Cho; S Kim; M Finn; M Moccaldi; J H Jensen; D K Sodickson; J D Goldberg; S Formenti; L Moy
Journal:  Magn Reson Med       Date:  2011-02-01       Impact factor: 4.668

6.  Quantitative assessment of diffusion-weighted MR imaging in patients with primary rectal cancer: correlation with FDG-PET/CT.

Authors:  Jing Gu; Pek-Lan Khong; Silun Wang; Queenie Chan; Wailun Law; Jingbo Zhang
Journal:  Mol Imaging Biol       Date:  2010-09-25       Impact factor: 3.488

7.  High-grade soft-tissue sarcoma: optimizing injection improves MRI evaluation of tumor response.

Authors:  Amandine Crombé; François Le Loarer; François Cornelis; Eberhardt Stoeckle; Xavier Buy; Sophie Cousin; Antoine Italiano; Michèle Kind
Journal:  Eur Radiol       Date:  2018-07-23       Impact factor: 5.315

Review 8.  Musculoskeletal tumors: how to use anatomic, functional, and metabolic MR techniques.

Authors:  Laura M Fayad; Michael A Jacobs; Xin Wang; John A Carrino; David A Bluemke
Journal:  Radiology       Date:  2012-11       Impact factor: 11.105

9.  Apparent diffusion coefficient modifications in assessing gastro-oesophageal cancer response to neoadjuvant treatment: comparison with tumour regression grade at histology.

Authors:  Francesco De Cobelli; Francesco Giganti; Elena Orsenigo; Michaela Cellina; Antonio Esposito; Giulia Agostini; Luca Albarello; Elena Mazza; Alessandro Ambrosi; Carlo Socci; Carlo Staudacher; Alessandro Del Maschio
Journal:  Eur Radiol       Date:  2013-04-16       Impact factor: 5.315

10.  Diffusion imaging for therapy response assessment of brain tumor.

Authors:  Thomas L Chenevert; Brian D Ross
Journal:  Neuroimaging Clin N Am       Date:  2009-11       Impact factor: 2.264

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