Dynamic Contrast Enhanced MRI of Prostate Cancer: Correlation with Morphology and Tumour Stage, Histological Grade and PSA

Padhani, Anwar R.; Gapinski, Connie J.; MacVicar, David; Parker, Geoffrey; Suckling, John; Revell, P.; Leach, Martin O.; Dearnaley, David P.; Husband, Janet E.

doi:10.1053/crad.1999.0327

Cited by 313 publications

(253 citation statements)

References 48 publications

Supporting

Mentioning

217

Contrasting

Unclassified

Order By: Relevance

“…10, were calculated in each pixel of each slice to produce maps of the maximum enhancement (ME), onset time (OT), and mean gradient (MG). In addition, a two-compartment pharmacokinetic model (30) was used to extract K trans , extravascular extracellular space (v e ) and maximum tissue gadolinium (Gd) concentration from the time-contrast agent concentration curves (31).…”

Section: Data Processingmentioning

confidence: 99%

“…and the pharmacokinetic modeling parameters have been used to differentiate between cancer and normal tissue in the breast (5), bladder (6), and bone (7). 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).…”

mentioning

confidence: 99%

“…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%

See 2 more Smart Citations

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

Section: Data Processingmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

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

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

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

“…The other functional MR technique, the time-intensity curve derived from DCE-MRI, has been used to distinguish benign and malignant lesions in different tissues such as breast and prostate cancer (Buckley et al, 1997;Padhani et al, 2000). Thomassin-Naggara et al (2008a) showed that DCE-MRI can differentiate benign, borderline, and malignant ovarian epithelial tumors (Thomassin-Naggara et al, 2008a).…”

Section: 3407 Differentiation Of Benign From Malignant Adnexal Massementioning

confidence: 99%

Differentiation of Benign from Malignant Adnexal Masses by Functional 3 Tesla MRI Techniques: Diffusion-Weighted Imaging and Time-Intensity Curves of Dynamic Contrast-Enhanced MRI

Malek

Pourashraf²,

Mousavi³

et al. 2015

Asian Pacific Journal of Cancer Prevention

View full text Add to dashboard Cite

Dynamic Contrast Enhanced MRI of Prostate Cancer: Correlation with Morphology and Tumour Stage, Histological Grade and PSA

Cited by 313 publications

References 48 publications

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

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

Differentiation of Benign from Malignant Adnexal Masses by Functional 3 Tesla MRI Techniques: Diffusion-Weighted Imaging and Time-Intensity Curves of Dynamic Contrast-Enhanced MRI

Contact Info

Product

Resources

About