Literature DB >> 19004780

The magnetic resonance shutter speed discriminates vascular properties of malignant and benign breast tumors in vivo.

Wei Huang1, Xin Li, Elizabeth A Morris, Luminita A Tudorica, Venkatraman E Seshan, William D Rooney, Ian Tagge, Ya Wang, Jingang Xu, Charles S Springer.   

Abstract

The pharmacokinetic analysis of dynamic-contrast-enhanced (DCE) MRI data yields K(trans) and k(ep), two parameters independently measuring the capillary wall contrast reagent transfer rate. The almost universally used standard model (SM) embeds the implicit assumption that equilibrium transcytolemmal water exchange is effectively infinitely fast. In analyses of routine DCE-MRI data from 22 patients with suspicious breast lesions initially ruled positive by institutional screening protocols, the SM K(trans) values for benign and malignant lesions exhibit considerable overlap. A form of the shutter-speed model (SSM), which allows for finite exchange kinetics, agrees with the SM K(trans) value for each of the 15 benign lesions. However, it reveals that the SM underestimates K(trans) for each of the seven malignant tumors in this population. The fact that this phenomenon is unique to malignant tumors allows their complete discrimination from the benign lesions, as validated by comparison with gold-standard pathology analyses of subsequent biopsy tissue samples. Likewise, the SM overestimates k(ep), particularly for the benign tumors. Thus, incorporation of the SSM into the screening protocols would have precluded all 68% of the biopsy/pathology procedures that yielded benign findings. The SM/SSM difference is well understood from molecular first principles.

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Year:  2008        PMID: 19004780      PMCID: PMC2582583          DOI: 10.1073/pnas.0711226105

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  34 in total

1.  Evidence for shutter-speed variation in CR bolus-tracking studies of human pathology.

Authors:  Thomas E Yankeelov; William D Rooney; Wei Huang; Jonathan P Dyke; Xin Li; Alina Tudorica; Jing-Huei Lee; Jason A Koutcher; Charles S Springer
Journal:  NMR Biomed       Date:  2005-05       Impact factor: 4.044

2.  Estimating the arterial input function using two reference tissues in dynamic contrast-enhanced MRI studies: fundamental concepts and simulations.

Authors:  Cheng Yang; Gregory S Karczmar; Milica Medved; Walter M Stadler
Journal:  Magn Reson Med       Date:  2004-11       Impact factor: 4.668

3.  Supine MR mammography using VIBE with parallel acquisition technique for the planning of breast-conserving surgery: clinical feasibility.

Authors:  Mitsuhiro Tozaki; Kunihiko Fukuda
Journal:  Breast       Date:  2005-07-07       Impact factor: 4.380

4.  Shutter-speed analysis of contrast reagent bolus-tracking data: Preliminary observations in benign and malignant breast disease.

Authors:  Xin Li; Wei Huang; Thomas E Yankeelov; Alina Tudorica; William D Rooney; Charles S Springer
Journal:  Magn Reson Med       Date:  2005-03       Impact factor: 4.668

5.  A unified magnetic resonance imaging pharmacokinetic theory: intravascular and extracellular contrast reagents.

Authors:  Xin Li; William D Rooney; Charles S Springer
Journal:  Magn Reson Med       Date:  2005-12       Impact factor: 4.668

Review 6.  MR in oncology drug development.

Authors:  Susan M Galbraith
Journal:  NMR Biomed       Date:  2006-10       Impact factor: 4.044

7.  Risk of invasive breast carcinoma among women diagnosed with ductal carcinoma in situ and lobular carcinoma in situ, 1988-2001.

Authors:  Christopher I Li; Kathleen E Malone; Babette S Saltzman; Janet R Daling
Journal:  Cancer       Date:  2006-05-15       Impact factor: 6.860

8.  Dynamic contrast-enhanced magnetic resonance imaging as a pharmacodynamic measure of response after acute dosing of AG-013736, an oral angiogenesis inhibitor, in patients with advanced solid tumors: results from a phase I study.

Authors:  Glenn Liu; Hope S Rugo; George Wilding; Teresa M McShane; Jeffrey L Evelhoch; Chaan Ng; Edward Jackson; Frederick Kelcz; Benjamin M Yeh; Fred T Lee; Chusilp Charnsangavej; John W Park; Edward A Ashton; Heidi M Steinfeldt; Yazdi K Pithavala; Steven D Reich; Roy S Herbst
Journal:  J Clin Oncol       Date:  2005-07-18       Impact factor: 44.544

Review 9.  Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols.

Authors:  P S Tofts; G Brix; D L Buckley; J L Evelhoch; E Henderson; M V Knopp; H B Larsson; T Y Lee; N A Mayr; G J Parker; R E Port; J Taylor; R M Weisskoff
Journal:  J Magn Reson Imaging       Date:  1999-09       Impact factor: 4.813

10.  Nephrogenic systemic fibrosis: A serious late adverse reaction to gadodiamide.

Authors:  Henrik S Thomsen
Journal:  Eur Radiol       Date:  2006-10-24       Impact factor: 5.315

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  49 in total

1.  Modeling of Look-Locker estimates of the magnetic resonance imaging estimate of longitudinal relaxation rate in tissue after contrast administration.

Authors:  Ramesh Paudyal; Hassan Bagher-Ebadian; Tavarekere N Nagaraja; Joseph D Fenstermacher; James R Ewing
Journal:  Magn Reson Med       Date:  2011-05-31       Impact factor: 4.668

2.  Blood oxygen level dependent angiography (BOLDangio) and its potential applications in cancer research.

Authors:  Kejia Cai; Adam Shore; Anup Singh; Mohammad Haris; Teruyuki Hiraki; Prianka Waghray; Damodar Reddy; Joel H Greenberg; Ravinder Reddy
Journal:  NMR Biomed       Date:  2012-02-02       Impact factor: 4.044

3.  A feasible high spatiotemporal resolution breast DCE-MRI protocol for clinical settings.

Authors:  Luminita A Tudorica; Karen Y Oh; Nicole Roy; Mark D Kettler; Yiyi Chen; Stephanie L Hemmingson; Aneela Afzal; John W Grinstead; Gerhard Laub; Xin Li; Wei Huang
Journal:  Magn Reson Imaging       Date:  2012-07-06       Impact factor: 2.546

4.  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

5.  Prediction of radiosensitivity in primary central nervous system germ cell tumors using dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Chenlu Feng; Peiyi Gao; Xiaoguang Qiu; Tianyi Qian; Yan Lin; Jian Zhou; Binbin Sui
Journal:  Chin J Cancer Res       Date:  2015-06       Impact factor: 5.087

6.  Evaluation of the effect of transcytolemmal water exchange analysis for therapeutic response assessment using DCE-MRI: a comparison study.

Authors:  Chunhao Wang; Ergys Subashi; Xiao Liang; Fang-Fang Yin; Zheng Chang
Journal:  Phys Med Biol       Date:  2016-06-08       Impact factor: 3.609

7.  Dynamic-contrast-enhanced-MRI with extravasating contrast reagent: rat cerebral glioma blood volume determination.

Authors:  Xin Li; William D Rooney; Csanád G Várallyay; Seymur Gahramanov; Leslie L Muldoon; James A Goodman; Ian J Tagge; Audrey H Selzer; Martin M Pike; Edward A Neuwelt; Charles S Springer
Journal:  J Magn Reson       Date:  2010-07-31       Impact factor: 2.229

8.  Mapping Tumor Hypoxia In Vivo Using Pattern Recognition of Dynamic Contrast-enhanced MRI Data.

Authors:  Radka Stoyanova; Kris Huang; Kiri Sandler; Hyungjoon Cho; Sean Carlin; Pat B Zanzonico; Jason A Koutcher; Ellen Ackerstaff
Journal:  Transl Oncol       Date:  2012-12-01       Impact factor: 4.243

9.  Differentiation of malignant and benign breast lesions using magnetization transfer imaging and dynamic contrast-enhanced MRI.

Authors:  Samantha L Heller; Linda Moy; Sherlin Lavianlivi; Melanie Moccaldi; Sungheon Kim
Journal:  J Magn Reson Imaging       Date:  2012-10-23       Impact factor: 4.813

10.  Gaussian mixture model-based classification of dynamic contrast enhanced MRI data for identifying diverse tumor microenvironments: preliminary results.

Authors:  S H Han; E Ackerstaff; R Stoyanova; S Carlin; W Huang; J A Koutcher; J K Kim; G Cho; G Jang; H Cho
Journal:  NMR Biomed       Date:  2013-02-25       Impact factor: 4.044

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