Fast dynamic gadolinium-enhanced MR imaging of urinary bladder and prostate cancer

Barentsz, Jelle O.; Engelbrecht, Marc R.; Jager, Gerrit J.; Witjes, J. Alfred; LaRosette, Jean de; Sanden, Boudewijn van der; Huisman, Henkjan; Heerschap, Arend

doi:10.1002/(sici)1522-2586(199909)10:3<295::aid-jmri10>3.0.co;2-z

Cited by 124 publications

(66 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…MRI, CT, positron emission tomography, ultrasound and optical imaging provide noninvasive images of angiogenesis in animals and humans. 25,26 CT and MRI are used frequently to evaluate therapeutic efficacy in patients, 27,28 but microvessels inside tumors cannot be assessed.…”

Section: Discussionmentioning

confidence: 99%

Detection of different tumor growth kinetics in single transgenic mice with oncogene‐induced mammary carcinomas by flat‐panel volume computed tomography

Jannasch

Dullin

Heinlein

et al. 2009

Intl Journal of Cancer

View full text Add to dashboard Cite

Transgenic mouse models offer an excellent opportunity for studying the molecular basis of cancer development and progression. Here we applied flat-panel volume computed tomography (fpVCT) to monitor tumor progression as well as the development of tumor vasculature in vivo in a transgenic mouse model for oncogene-induced mammary carcinogenesis (WAP-T mice). WAP-T mice develop multiple mammary carcinomas on oncogene induction within 3 to 5 months. Following induction, 3-dimensional fpVCT data sets were obtained by serial single scans of entire mice in combination with iodine containing contrast agents and served as basis for precise measurements of tumor volumes. Thereby, we were able to depict tumors within the mammary glands at a very early stage of the development. Tumors of small sizes (0.001 cm 3 ) were detected by fpVCT before being palpable or visible by inspection. The capability to determine early tumor onset combined with longitudinal noninvasive imaging identified diverse time points of tumor onset for each mammary carcinoma and different tumor growth kinetics for multiple breast carcinomas that developed in single mice. Furthermore, blood supply to the breast tumors, as well as blood vessels around and within the tumors, were clearly visible over time by fpVCT. Three-dimensional visualization of tumor vessels in high resolution was enhanced by the use of a novel blood pool contrast agent. Here, we demonstrate by longitudinal fpVCT imaging that mammary carcinomas develop at different time points in each WAP-T mouse, and thereafter show divergent growth rates and distinct vascularization patterns. ' UICCKey words: flat-panel volume computed tomography; in vivo imaging; murine transgenic tumor models; tumor angiogenesis Accompanying the rapid progress in deciphering the human and mouse genome, many transgenic mouse models have been generated. Weissleder and Mahmood already assumed in 2001 that more than 25 million transgenic and knockout mice would be raised that year for experimental studies, accounting for over 90% of all mammals in research.1 These mouse models offer the opportunity to study gene functions in their biological context in a much more physiological way than any other approach. Especially cancer research benefits from the advantages of these transgenic mice in elucidating the role of a specific gene in tumor growth and spread as well as angiogenesis. One promising model in addressing such questions is the WAP-T transgenic mouse. [2][3][4] In these mice, the SV40 early gene region is induced specifically in differentiating mammary epithelial cells upon activation of the WAPpromoter during late pregnancy and lactation, and drives mammary carcinogenesis in mammary epithelial cells re-expressing the transgene after involution of the mammary glands. The SV40 early region mainly serves to functionally eliminate the p53 and pRb tumor suppressors by binding to the SV40 large T-antigen 5 and to change the specificity of the phosphatase PP2A 6 by its interaction with SV40 small T-antigen, thereby...

show abstract

Section: Discussionmentioning

confidence: 99%

Detection of different tumor growth kinetics in single transgenic mice with oncogene‐induced mammary carcinomas by flat‐panel volume computed tomography

Jannasch

Dullin

Heinlein

et al. 2009

Intl Journal of Cancer

View full text Add to dashboard Cite

show abstract

“…DCE-MRI has been quite successful in diagnosing and staging prostate cancer in the peripheral zone (PZ) (8 -12); however, there appears to be some overlap in the enhancement patterns between the tumor and the transitional zone (10). This technique is also useful for identifying equivocal capsular penetration to assess the involvement of the seminal vesicles (9), and can be used to monitor neoadjuvant hormonal therapy (13). There are, however, conflicting reports as to whether DCE-MRI correlates well with histological grades of prostate carcinoma (8,10,14).…”

mentioning

confidence: 99%

Combined diffusion‐weighted and dynamic contrast‐enhanced MRI for prostate cancer diagnosis—Correlation with biopsy and histopathology

Kozłowski

Chang

Jones

et al. 2006

Magnetic Resonance Imaging

245

192

View full text Add to dashboard Cite

Purpose:To determine whether the combination of diffusion-weighted (DW) and dynamic contrast-enhanced (DCE) MRI provides higher diagnostic sensitivity for prostate cancer than each technique alone. Materials and Methods:Fourteen patients with a clinical suspicion of prostate cancer underwent endorectal MRI on a 1.5T scanner prior to transrectal ultrasound (TRUS)-guided biopsies. The average values of the apparent diffusion coefficient (ADC, calculated from b-values of 0 and 600), K trans , v e , maximum gadolinium (Gd) concentration, onset time, mean gradient, and maximum enhancement were determined. Correlation with histology was based on biopsy (six patients) and prostatectomy specimen (eight patients) results. The Tukey-Kramer test was used for statistical analysis. Results:The average values of all MRI parameters, except v e and maximum Gd concentration, showed significant differences between tumor and normal prostate. The sensitivity and specificity values were respectively 54% (35-72%) and 100% (95-100%) for the ADC data, and 59% (39 -77%) and 74% (63-83%) for the DCE data. When both ADC and DCE results were combined, the sensitivity increased to 87% (68 -95%) and specificity decreased to 74% (62-83%). Conclusion:All but two DW-and DCE-MRI parameters showed significant differences between tumor and normal prostate. Combining both techniques provides better sensitivity, with a small decrease in specificity.

show abstract

“…Its diagnostic value in tumor detection, identification, and staging has been shown in breast tumors (1)(2)(3), cervix tumors (4), and prostate carcinoma (5)(6)(7). Also, tumor treatment response has been monitored by DCE-MRI (8 -10), and comparison with histology showed a relationship of DCE-MRI data with angiogenic characteristics such as microvessel density (6,7,11).…”

mentioning

confidence: 99%

Method for quantitative mapping of dynamic MRI contrast agent uptake in human tumors

Rijpkema¹,

Kaanders²,

Joosten³

et al. 2001

Magnetic Resonance Imaging

Self Cite

166

155

View full text Add to dashboard Cite

A method is presented for the acquisition and analysis of dynamic contrast-enhanced (DCE) MRI data, focused on the characterization of tumors in humans. Gadolinium (Gd) contrast was administered by bolus injection, and its effect was monitored in time by fast T1-weighted MRI. A simple algorithm was developed for automatic extraction of the arterial input function (AIF) from the DCE-MRI data. This AIF was used in the pixelwise pharmacokinetic determination of physiological vascular parameters in normal and tumor tissue. Maps were reconstructed to show the spatial distribution of parameter values. To test the reproducibility of the method 11 patients with different types of tumors were measured twice, and the rate of contrast agent uptake in the tumor was calculated. The results show that normalizing the DCE-MRI data using individual coregistered AIFs, instead of one common AIF for all patients, substantially reduces the variation between successive measurements. It is concluded that the proposed method enables the reproducible assessment of contrast agent uptake rates.

show abstract

Fast dynamic gadolinium-enhanced MR imaging of urinary bladder and prostate cancer

Cited by 124 publications

References 38 publications

Detection of different tumor growth kinetics in single transgenic mice with oncogene‐induced mammary carcinomas by flat‐panel volume computed tomography

Detection of different tumor growth kinetics in single transgenic mice with oncogene‐induced mammary carcinomas by flat‐panel volume computed tomography

Combined diffusion‐weighted and dynamic contrast‐enhanced MRI for prostate cancer diagnosis—Correlation with biopsy and histopathology

Method for quantitative mapping of dynamic MRI contrast agent uptake in human tumors

Contact Info

Product

Resources

About