A Combined Pharmacokinetic and Radiologic Assessment of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Predicts Response to Chemoradiation in Locally Advanced Cervical Cancer

Semple, Scott; Harry, Vanessa N.; Parkin, David E.; Gilbert, Fiona J.

doi:10.1016/j.ijrobp.2009.04.069

Cited by 47 publications

(36 citation statements)

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“…Significant positive correlations have been observed between parameters describing the rate or magnitude of signal enhancement and tumor pO 2 or microvascular density (24)(25)(26). Furthermore, there is increasing evidence that poor signal enhancement is correlated with poor response to radiation treatment as a consequence of hypoxia-induced radiation resistance (26)(27)(28). However, the correlations are generally weak, perhaps because the analyses were based on semiquantitative parameters derived from signal intensity curves rather than quantitative parameters calculated from Gd-DTPA concentration curves by the use of adequate pharmacokinetic models.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Tumor Radioresponsiveness and Metastatic Potential by Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Øvrebø

Gulliksrud

Mathiesen

et al. 2011

International Journal of Radiation Oncology*Biology*Physics

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Section: Discussionmentioning

confidence: 99%

Assessment of Tumor Radioresponsiveness and Metastatic Potential by Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Øvrebø

Gulliksrud

Mathiesen

et al. 2011

International Journal of Radiation Oncology*Biology*Physics

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“…Regression rate correlated positively with changes in both peak and mean tumour enhancement Takayama [48] All 1.5T Tumor regression rate signifi cantly correlated to both *SI e (r = 0.37, P =.015) and **R down (r = 0.73, P < 0001). Semple [49] All 1.5T Pretherapy mean signal intensity, Signal enhancement ratio, K trans, TPE, individually correlated Yuh [45] All 1.5T Signal Intensity (5%) <2 and Tumor volume >30 cc at 2.5 to 3 weeks predicts for 8 yr local control (73% vs 100% P = 0.0006) and disease free survival (47% vs 79% P = 0.001) Zahara [47] All 1.5T Pre RT # K trans (P =0.04), $ K ep (P = 0.02), peak (, slope, maximum slope, contrast enhancement ratio correlate with tumor regression *median value for the degree of signal intensity change in all selected pixels in the tumor at 1-2 min after contrast agent injection,**ratio of the number of down sloped pixels to that of all selected pixels 3-7 min after injection, # Transfer coeffi cient of paramagnetic contrast agent from blood to tissue, $ Back Flux Rate tissues. Combining spectral information with anatomical information may facilitate investigation of prespecified ROIs.…”

Section: Resultsmentioning

confidence: 99%

“…[44][45][46] Tumor enhancement or an increase in signal intensity within the first two weeks of treatment are associated with better tumor regression, [47][48][49] local control, disease-free survival, and overall survival. A summary of DCE studies evaluating tumor response is provided in Table 2.…”

Section: Intratumoral Heterogeneity On Dce and Therapeutic Efficacymentioning

confidence: 99%

“…A summary of DCE studies evaluating tumor response is provided in Table 2. [44,45,[47][48][49][50][51][52] However, differences in opinion exist regarding baseline tumor enhancement, signal intensity, and clinical outcome. Unlike other studies, Hawighorst and colleagues reported that high contrast tissue exchange rate constant, i.e., >5.4 /min on presurgical DCE-MRI was associated with decreased survival probability.…”

Section: Intratumoral Heterogeneity On Dce and Therapeutic Efficacymentioning

confidence: 99%

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Functional magnetic resonance imaging in cervical cancer: Current evidence and future directions

et al. 2012

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Carcinoma cervix is one of the most common cancers amongst Indian women. Though treatment strategies continue to evolve, there are no established predictive biomarkers of prognosis or therapeutic response. Novel imaging techniques using magnetic resonance (MR) and positron emission tomography (PET) can facilitate time resolved spatial evaluation of biological characteristics (perfusion, permeability, cellularity, proliferation, oxygenation, and apoptosis) thereby serving as early surrogate biomarkers for prognosis and therapeutic response. Several of these imaging modalities such as dynamic contrast-enhanced MRI (DCE-MRI), diffusion-weighted MRI (DW-MRI), MR spectroscopy (MRS) and fluorine-18 fluorodeoxyglucose positron emission tomography (FDG-PET) are now being evaluated for gynecological oncology, with the majority of work being performed on cervical tumors. PUBMED database was searched for this review from January 1966 till February 2011. This review examines the basic principles of functional MR imaging for cervical cancer and its current status as a diagnostic and predictive biomarker for cervical cancer.

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“…These models have also shown promise in a variety of other clinical applications, such as renal carcinoma [258], rheumatoid arthritis [259,260], quantification of myocardial blood flow (MBF) [261,262], nasopharyngeal carcinoma [263], arterial occlusive disease [264] and carotid atherosclerotic plaque [191,265], hepatocellular carcinomas [266], and tumor heterogeneity analysis [57,58,267]. New fields, such as assessment of preoperative oral cancer therapy [60], pancreatic [59] and cervical cancer [167,194,216,268,269], head and neck cancers [270][271][272][273][274], and cardiac diseases [275][276][277] are also regularly explored. The Patlak plot is the simplest PK technique having been widely used in the dynamic MRI analysis.…”

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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A Combined Pharmacokinetic and Radiologic Assessment of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Predicts Response to Chemoradiation in Locally Advanced Cervical Cancer

Cited by 47 publications

References 30 publications

Assessment of Tumor Radioresponsiveness and Metastatic Potential by Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Assessment of Tumor Radioresponsiveness and Metastatic Potential by Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Functional magnetic resonance imaging in cervical cancer: Current evidence and future directions

Analysis of contrast-enhanced medical images.

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