Literature DB >> 21356482

The promise of dynamic contrast-enhanced imaging in radiation therapy.

Yue Cao1.   

Abstract

Dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and computed tomography (CT) scanning are emerging as valuable tools to quantitatively map the spatial distribution of vascular parameters, such as perfusion, vascular permeability, blood volume, and mean transit time in tumors and normal organs. DCE MRI/CT have shown prognostic and predictive value for response of certain cancers to chemotherapy and radiation therapy. DCE MRI/CT offer the promise of early assessment of tumor response to radiation therapy, opening a window for adaptively optimizing radiation therapy based upon functional alterations that occur earlier than morphologic changes. DCE MRI/CT has also shown the potential of mapping dose responses in normal organs and tissue for evaluation of individual sensitivity to radiation, providing additional opportunities to minimize risks of radiation injury. The evidence for potentially applying DCE MRI and CT for selection and delineation of radiation boost targets is growing. The clinical use of DCE MRI and CT scanning as a biomarker or even a surrogate endpoint for radiation therapy assessment of tumor and normal organs must consider technical validation issues, including standardization, reproducibility, accuracy and robustness, and clinical validation of the sensitivity and specificity for each specific problem of interest. Although holding great promise, to date, DCE MRI and CT scanning have not been qualified as a surrogate endpoint for radiation therapy assessment or for treatment modification in any prospective phase III clinical trial for any tumor site.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21356482      PMCID: PMC3619193          DOI: 10.1016/j.semradonc.2010.11.001

Source DB:  PubMed          Journal:  Semin Radiat Oncol        ISSN: 1053-4296            Impact factor:   5.934


  104 in total

1.  Correlation between initial and early follow-up CT perfusion parameters with endoscopic tumor response in patients with advanced squamous cell carcinomas of the oropharynx treated with organ-preservation therapy.

Authors:  D Gandhi; D B Chepeha; T Miller; R C Carlos; C R Bradford; R Karamchandani; F Worden; A Eisbruch; T N Teknos; G T Wolf; S K Mukherji
Journal:  AJNR Am J Neuroradiol       Date:  2006-01       Impact factor: 3.825

2.  Dynamic MRI and CAD vs. choline MRS: where is the detection level for a lesion characterisation in prostate cancer?

Authors:  Michael Schmuecking; Carsten Boltze; Hagen Geyer; Henning Salz; Bert Schilling; Thomas G Wendt; Karl-Heinz Kloetzer; Christiane Marx
Journal:  Int J Radiat Biol       Date:  2009-09       Impact factor: 2.694

3.  Dynamic TurboFLASH subtraction technique for contrast-enhanced MR imaging of the prostate: correlation with histopathologic results.

Authors:  G J Jager; E T Ruijter; C A van de Kaa; J J de la Rosette; G O Oosterhof; J R Thornbury; S H Ruijs; J O Barentsz
Journal:  Radiology       Date:  1997-06       Impact factor: 11.105

4.  Pretreatment oxygenation predicts radiation response in advanced squamous cell carcinoma of the head and neck.

Authors:  M Nordsmark; M Overgaard; J Overgaard
Journal:  Radiother Oncol       Date:  1996-10       Impact factor: 6.280

5.  Sensitivity of quantitative metrics derived from DCE MRI and a pharmacokinetic model to image quality and acquisition parameters.

Authors:  Yue Cao; Diana Li; Zhou Shen; Daniel Normolle
Journal:  Acad Radiol       Date:  2010-04       Impact factor: 3.173

6.  The potential superiority of bromodeoxyuridine to iododeoxyuridine as a radiation sensitizer in the treatment of colorectal cancer.

Authors:  T S Lawrence; M A Davis; J Maybaum; S K Mukhopadhyay; P L Stetson; D P Normolle; P E McKeever; W D Ensminger
Journal:  Cancer Res       Date:  1992-07-01       Impact factor: 12.701

7.  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

8.  Glial tumor grading and outcome prediction using dynamic spin-echo MR susceptibility mapping compared with conventional contrast-enhanced MR: confounding effect of elevated rCBV of oligodendrogliomas [corrected].

Authors:  Michael H Lev; Yelda Ozsunar; John W Henson; Amjad A Rasheed; Glenn D Barest; Griffith R Harsh; Markus M Fitzek; E Antonio Chiocca; James D Rabinov; Andrew N Csavoy; Bruce R Rosen; Fred H Hochberg; Pamela W Schaefer; R Gilberto Gonzalez
Journal:  AJNR Am J Neuroradiol       Date:  2004-02       Impact factor: 3.825

9.  Simple models improve the discrimination of prostate cancers from the peripheral gland by T1-weighted dynamic MRI.

Authors:  Fabian Kiessling; Matthias Lichy; Rainer Grobholz; Melanie Heilmann; Nabeel Farhan; Maurice Stephan Michel; Lutz Trojan; Joerg Ederle; Ulrich Abel; Hans-Ulrich Kauczor; Wolfhard Semmler; Stefan Delorme
Journal:  Eur Radiol       Date:  2004-06-30       Impact factor: 5.315

10.  Computer-assisted diagnosis of prostate cancer using DCE-MRI data: design, implementation and preliminary results.

Authors:  Philippe Puech; Nacim Betrouni; Nasr Makni; Anne-Sophie Dewalle; Arnauld Villers; Laurent Lemaitre
Journal:  Int J Comput Assist Radiol Surg       Date:  2008-10-21       Impact factor: 2.924

View more
  45 in total

Review 1.  Applications of imaging technology in radiation research.

Authors:  MingDe Lin; Edward F Jackson
Journal:  Radiat Res       Date:  2012-03-08       Impact factor: 2.841

Review 2.  Imaging radiation response in tumor and normal tissue.

Authors:  Marjan Rafat; Rehan Ali; Edward E Graves
Journal:  Am J Nucl Med Mol Imaging       Date:  2015-06-15

Review 3.  New techniques for assessing response after hypofractionated radiotherapy for lung cancer.

Authors:  Sarah A Mattonen; Kitty Huang; Aaron D Ward; Suresh Senan; David A Palma
Journal:  J Thorac Dis       Date:  2014-04       Impact factor: 2.895

4.  Rigid-body motion correction of the liver in image reconstruction for golden-angle stack-of-stars DCE MRI.

Authors:  Adam Johansson; James Balter; Yue Cao
Journal:  Magn Reson Med       Date:  2017-06-15       Impact factor: 4.668

5.  Dynamic contrast-enhanced magnetic resonance imaging of osseous spine metastasis before and 1 hour after high-dose image-guided radiation therapy.

Authors:  Eric Lis; Atin Saha; Kyung K Peck; Joan Zatcky; Michael J Zelefsky; Yoshiya Yamada; Andrei I Holodny; Mark H Bilsky; Sasan Karimi
Journal:  Neurosurg Focus       Date:  2017-01       Impact factor: 4.047

Review 6.  Biological imaging in clinical oncology: radiation therapy based on functional imaging.

Authors:  Yo-Liang Lai; Chun-Yi Wu; K S Clifford Chao
Journal:  Int J Clin Oncol       Date:  2016-07-06       Impact factor: 3.402

7.  Strategies to optimize radiotherapy based on biological responses of tumor and normal tissue.

Authors:  Weidong Wang; Jinyi Lang
Journal:  Exp Ther Med       Date:  2012-05-30       Impact factor: 2.447

8.  Abdominal DCE-MRI reconstruction with deformable motion correction for liver perfusion quantification.

Authors:  Adam Johansson; James M Balter; Yue Cao
Journal:  Med Phys       Date:  2018-08-31       Impact factor: 4.071

9.  Perfusion parameters of dynamic contrast-enhanced magnetic resonance imaging predict outcomes of hepatocellular carcinoma receiving radiotherapy with or without thalidomide.

Authors:  Po-Chin Liang; Hui-Ju Ch'ang; Chiun Hsu; Li-Tzong Chen; Tiffany T F Shih; Tsang Wu Liu
Journal:  Hepatol Int       Date:  2014-07-26       Impact factor: 6.047

10.  Tumor angiogenesis phenotyping by nanoparticle-facilitated magnetic resonance and near-infrared fluorescence molecular imaging.

Authors:  Peter A Jarzyna; Lisette H Deddens; Benjamin H Kann; Sarayu Ramachandran; Claudia Calcagno; Wei Chen; Anita Gianella; Rick M Dijkhuizen; Arjan W Griffioen; Zahi A Fayad; Willem J M Mulder
Journal:  Neoplasia       Date:  2012-10       Impact factor: 5.715

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.