Dynamic contrast-enhanced MR imaging to assess physiologic variations of myometrial perfusion

Thomassin‐Naggara, Isabelle; Balvay, D.; Cuenod, Charles‐André; Daraı̈, Émile; Marsault, C.; Bazot, Marc

doi:10.1007/s00330-009-1621-1

Cited by 35 publications

(28 citation statements)

References 59 publications

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“…This notion is important because outer myometrial enhancement, used for enhancement curve analysis for adnexal masses, was demonstrated to be significantly different between post-menopausal women and women of reproductive age with a lower F T , lower Vb, higher PS, higher Ve and lower Dt [11], and thus the appropriateness of using this organ as an internal reference could be discussed.…”

Section: Discussionmentioning

confidence: 99%

“…The signal intensity was converted into concentration equivalents assuming a near linear relationship between contrast agent concentration and signal enhancement within the range of 0-3 mM Gd-DOTA values [9]. These data were validated in our laboratory during a previously published study [11] by phantom experiments using the same MR acquisition parameters:…”

Section: Pharmacokinetic Analysismentioning

confidence: 99%

“…Therefore, the evolution of tissue contrast agent concentration follows the equation of a previously published twocompartmental model (M2) with exchanges between the capillary and the interstitial spaces (see Electronic Supplementary Material) [11,[14][15][16][17]. In addition to tissue blood flow F T (mL.min −1 .100 mL −1 ) and blood volume fraction Vb (%), this model provides the permeability-surface area product PS (mL.min −1 .100 mL −1 ), the extracapillary and extracellular (interstitial) volume fraction Ve (%), and the lag time Dt (s), which is the time required for blood to go to the tissue arterioles from AIF measurement in the large iliac artery.…”

Section: Pharmacokinetic Analysismentioning

confidence: 99%

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Quantitative dynamic contrast-enhanced MR imaging analysis of complex adnexal masses: a preliminary study

et al. 2011

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Section: Discussionmentioning

confidence: 99%

Section: Pharmacokinetic Analysismentioning

confidence: 99%

Section: Pharmacokinetic Analysismentioning

confidence: 99%

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Quantitative dynamic contrast-enhanced MR imaging analysis of complex adnexal masses: a preliminary study

et al. 2011

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“…In recent years, the improvement of data quality has permitted the application of more complex models, which allow for a separate quantification of the blood flow and the permeability‐surface area (PS). In particular, the two‐compartment exchange model (2CXM) and the adiabatic approximation to the tissue homogeneity model (ATHM) have been shown to be applicable in various clinical and preclinical contexts. It is of great importance to understand the reliability and accuracy of hemodynamic parameter estimates from different models and a number of studies have addressed this issue in the last decade, mostly focusing on the TMs .…”

Section: Introductionmentioning

confidence: 99%

Dynamic contrast-enhanced MRI in mice: An investigation of model parameter uncertainties

Rukat

Walker‐Samuel²,

Reinsberg

2014

Magn. Reson. Med.

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“…Classifi-cation of breast tumors by Brix et al [192] was its first DCE-MRI application. Recently, the 2CXM is gradually becoming popular in various applications, such as brain [193,195,287] and lung cancer [288], myometrium [289], cervix [194] and bladder cancer [290], head and neck tumors [291], and carotid atherosclerotic plaques [191].…”

Section: Clinical Applications Of Parametric Modelsmentioning

confidence: 99%

Analysis of contrast-enhanced medical images.

Khalifa¹

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DEDICATIONThis dissertation is dedicated to my mother. Words cannot express how much I wish that she was still with me to see the completion of this endeavor.iii ACKNOWLEDGMENTSIn the name of Allah the most merciful, the most compassionate. All deepest thanks are due to Almighty Allah for the uncountable gifts given to me.I would like to thank my dissertation advisor, Dr. Ayman El-Baz, for his continuous encouragement, guidance, and support over the course of my Ph.D. study. I thank him for giving me the opportunity to work in his research group and providing me the opportunity to work on promising applications and meet interesting people. Without his expertise, guidance, and commitment, my research would not have been possible. I truly appreciate his optimism whenever things looked impossible.I also express my deepest gratitude to Dr. Karla Conn Welch, my dissertation coadvisor, and Dr. Tamer Inanc, Dr. Cindy Harnett, Dr. Olfa Nasraoui, and Dr. Jake Wildstrom for being on my dissertation committee with enthusiasm and taking interest in my research in the midst of many other responsibilities and commitments.I also have to thank Dr. Georgy Gimel'farb for his useful discussions and valuable comments and feedback. He has never hesitated to share his experience in Markov-Gibbs random field and the field of image processing. I also would like to thank Dr. Mohamed Abou El-Ghar of the radiology department, Urology and Nephrology Center, University of Early detection of human organ diseases is of great importance for the accurate diagnosis and institution of appropriate therapies. This can potentially prevent progression to end-stage disease by detecting precursors that evaluate organ functionality. In addition, it also assists the clinicians for therapy evaluation, tracking diseases progression, and surgery operations. Advances in functional and contrast-enhanced (CE) medical images enabled accurate noninvasive evaluation of organ functionality due to their ability to provide superior anatomical and functional information about the tissue-of-interest. The main objective of this dissertation is to develop a computer-aided diagnostic (CAD) system for analyzing complex data from CE magnetic resonance imaging (MRI). The developed CAD system has been tested in three case studies: (i) early detection of acute renal transplant rejection,(ii) evaluation of myocardial perfusion in patients with ischemic heart disease after heart attack; and (iii), early detection of prostate cancer.However, developing a noninvasive CAD system for the analysis of CE medical images is subject to multiple challenges, including, but are not limited to, image noise and inhomogeneity, nonlinear signal intensity changes of the images over the time course of data acquisition, appearances and shape changes (deformations) of the organ-of-interest during data acquisition, determination of the best features (indexes) that describe the perfuvi sion of a contrast agent (CA) into the tissue. To address these challenges, this dissertation focuses on building n...

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Dynamic contrast-enhanced MR imaging to assess physiologic variations of myometrial perfusion

Abstract: DCE-MRI is a non-invasive technique that can measure variations of myometrial microcirculation, and thereby be potentially useful to help characterize the role and states of the myometrium in assisted reproductive therapy.

Cited by 35 publications

References 59 publications

Quantitative dynamic contrast-enhanced MR imaging analysis of complex adnexal masses: a preliminary study

Quantitative dynamic contrast-enhanced MR imaging analysis of complex adnexal masses: a preliminary study

Dynamic contrast-enhanced MRI in mice: An investigation of model parameter uncertainties

Analysis of contrast-enhanced medical images.

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