Literature DB >> 19622579

Dynamic contrast-enhanced magnetic resonance imaging as a predictor of clinical outcome in canine spontaneous soft tissue sarcomas treated with thermoradiotherapy.

Benjamin L Viglianti1, Michael Lora-Michiels, Jeanie M Poulson, Lan Lan, Daohai Yu, Dahio Yu, Linda Sanders, Oana Craciunescu, Zeljko Vujaskovic, Donald E Thrall, James Macfall, Cecil H Charles, Terence Wong, Mark W Dewhirst.   

Abstract

PURPOSE: This study tests whether dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parameters obtained from canine patients with soft tissue sarcomas, treated with hyperthermia and radiotherapy, are predictive of therapeutic outcome. EXPERIMENTAL
DESIGN: Thirty-seven dogs with soft tissue sarcomas had DCE-MRI done before and following the first hyperthermia. Signal enhancement for tumor and reference muscle were fitted empirically, yielding a washin/washout rate for the contrast agent and tumor area under the signal enhancement curve (AUC) calculated from 0 to 60 seconds, 90 seconds, and the time of maximal enhancement in the reference muscle. These parameters were then compared with local tumor control, metastasis-free survival, and overall survival.
RESULTS: Pretherapy rate of contrast agent washout was positively predictive of improved overall and metastasis-free survival with hazard ratio of 0.67 (P = 0.015) and 0.68 (P = 0.012), respectively. After the first hyperthermia washin rate, AUC60, AUC90, and AUCt-max were predictive of improved overall and metastasis-free survival with hazard ratio ranging from 0.46 to 0.53 (P < 0.002) and 0.44 to 0.55 (P < 0.004), respectively. DCE-MRI parameters were compared with extracellular pH and (31)P MR spectroscopy results (previously published) in the same patients showing a correlation. This suggested that an increase in perfusion after therapy was effective in eliminating excess acid from the tumor.
CONCLUSIONS: This study shows that DCE-MRI has utility predicting overall and metastasis-free survival in canine patients with soft tissue sarcomas. To our knowledge, this is the first time that DCE-MRI parameters are predictive of clinical outcome for soft tissue sarcomas.

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Year:  2009        PMID: 19622579      PMCID: PMC2763531          DOI: 10.1158/1078-0432.CCR-08-2222

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  41 in total

1.  Theoretical simulation of oxygen transport to tumors by three-dimensional networks of microvessels.

Authors:  T W Secomb; R Hsu; R D Braun; J R Ross; J F Gross; M W Dewhirst
Journal:  Adv Exp Med Biol       Date:  1998       Impact factor: 2.622

2.  Radiation therapy and hyperthermia improve the oxygenation of human soft tissue sarcomas.

Authors:  D M Brizel; S P Scully; J M Harrelson; L J Layfield; R K Dodge; H C Charles; T V Samulski; L R Prosnitz; M W Dewhirst
Journal:  Cancer Res       Date:  1996-12-01       Impact factor: 12.701

3.  Assessment of tumor oxygenation in human cervical carcinoma by use of dynamic Gd-DTPA-enhanced MR imaging.

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Journal:  J Magn Reson Imaging       Date:  2001-12       Impact factor: 4.813

4.  Cervical carcinoma: standard and pharmacokinetic analysis of time-intensity curves for assessment of tumor angiogenesis and patient survival.

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Journal:  MAGMA       Date:  1999-03       Impact factor: 2.310

5.  Tumor perfusion studies using fast magnetic resonance imaging technique in advanced cervical cancer: a new noninvasive predictive assay.

Authors:  N A Mayr; W T Yuh; V A Magnotta; J C Ehrhardt; J A Wheeler; J I Sorosky; C S Davis; B C Wen; D D Martin; R E Pelsang; R E Buller; L W Oberley; D E Mellenberg; D H Hussey
Journal:  Int J Radiat Oncol Biol Phys       Date:  1996-10-01       Impact factor: 7.038

6.  Correlation between dynamic MRI and outcome in patients with malignant gliomas.

Authors:  E T Wong; E F Jackson; K R Hess; D F Schomer; J D Hazle; A P Kyritsis; K A Jaeckle; W K Yung; V A Levin; N E Leeds
Journal:  Neurology       Date:  1998-03       Impact factor: 9.910

7.  Cervical carcinoma: can dynamic contrast-enhanced MR imaging help predict tumor aggressiveness?

Authors:  S Postema; P M Pattynama; C S van Rijswijk; J B Trimbos
Journal:  Radiology       Date:  1999-01       Impact factor: 11.105

Review 8.  Basic principles of thermal dosimetry and thermal thresholds for tissue damage from hyperthermia.

Authors:  M W Dewhirst; B L Viglianti; M Lora-Michiels; M Hanson; P J Hoopes
Journal:  Int J Hyperthermia       Date:  2003 May-Jun       Impact factor: 3.914

Review 9.  Targeting HIF-1 for cancer therapy.

Authors:  Gregg L Semenza
Journal:  Nat Rev Cancer       Date:  2003-10       Impact factor: 60.716

10.  Analysis of the effects of oxygen supply and demand on hypoxic fraction in tumors.

Authors:  T W Secomb; R Hsu; E T Ong; J F Gross; M W Dewhirst
Journal:  Acta Oncol       Date:  1995       Impact factor: 4.089

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  17 in total

1.  MR imaging to assess immediate response to irreversible electroporation for targeted ablation of liver tissues: preclinical feasibility studies in a rodent model.

Authors:  Yue Zhang; Yang Guo; Ann B Ragin; Robert J Lewandowski; Guang-Yu Yang; Grace M Nijm; Alan V Sahakian; Reed A Omary; Andrew C Larson
Journal:  Radiology       Date:  2010-08       Impact factor: 11.105

Review 2.  Utility of functional imaging in prediction or assessment of treatment response and prognosis following thermotherapy.

Authors:  Mark W Dewhirst; Donald E Thrall; Gregory Palmer; Thies Schroeder; Zeljko Vujaskovic; H Cecil Charles; James Macfall; Terence Wong
Journal:  Int J Hyperthermia       Date:  2010       Impact factor: 3.914

3.  Genomic profiling in locally advanced and inflammatory breast cancer and its link to DCE-MRI and overall survival.

Authors:  Sharareh Siamakpour-Reihani; Kouros Owzar; Chen Jiang; Peter M Scarbrough; Oana I Craciunescu; Janet K Horton; Holly K Dressman; Kimberly L Blackwell; Mark W Dewhirst
Journal:  Int J Hyperthermia       Date:  2015-03-26       Impact factor: 3.914

4.  Multiparametric Assessment of Treatment Response in High-Grade Soft-Tissue Sarcomas with Anatomic and Functional MR Imaging Sequences.

Authors:  Theodoros Soldatos; Shivani Ahlawat; Elizabeth Montgomery; Majid Chalian; Michael A Jacobs; Laura M Fayad
Journal:  Radiology       Date:  2015-09-21       Impact factor: 11.105

5.  [Combined functional and morphological imaging of sarcomas: significance for diagnostics and therapy monitoring].

Authors:  N Schramm; M Schlemmer; C Rist; R Issels; M F Reiser; F Berger
Journal:  Radiologe       Date:  2010-04       Impact factor: 0.635

Review 6.  DCE-MRI: a review and applications in veterinary oncology.

Authors:  M Keara Boss; N Muradyan; D E Thrall
Journal:  Vet Comp Oncol       Date:  2011-12-08       Impact factor: 2.613

7.  18F-FDG-PET/CT Imaging as an early survival predictor in patients with primary high-grade soft tissue sarcomas undergoing neoadjuvant therapy.

Authors:  Ken Herrmann; Matthias R Benz; Johannes Czernin; Martin S Allen-Auerbach; William D Tap; Sarah M Dry; Tibor Schuster; Jeff J Eckardt; Michael E Phelps; Wolfgang A Weber; Fritz C Eilber
Journal:  Clin Cancer Res       Date:  2012-02-14       Impact factor: 12.531

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.  FDG-PET/CT Imaging Predicts Histopathologic Treatment Responses after Neoadjuvant Therapy in Adult Primary Bone Sarcomas.

Authors:  Matthias R Benz; Johannes Czernin; William D Tap; Jeffrey J Eckardt; Leanne L Seeger; Martin S Allen-Auerbach; Sarah M Dry; Michael E Phelps; Wolfgang A Weber; Fritz C Eilber
Journal:  Sarcoma       Date:  2010-04-18

10.  Systemic anti-tumour effects of local thermally sensitive liposome therapy.

Authors:  Benjamin L Viglianti; Mark W Dewhirst; R J Boruta; Ji-Young Park; Chelsea Landon; Andrew N Fontanella; Jing Guo; Ashley Manzoor; Christina L Hofmann; Gregory M Palmer
Journal:  Int J Hyperthermia       Date:  2014-08-28       Impact factor: 3.914

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