E-Thesis 98 views
Multi-parametric MRI of Prostate Cancer: Assessment of Spectroscopy, Diﬀusion, Dynamic Contrast and Relaxometry for Active Surveillance and Staging / Ioannis Papadopoulos
Swansea University Author: Ioannis, Papadopoulos
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DOI (Published version): 10.23889/Suthesis.51146
Magnetic Resonance Imaging (MRI) was ﬁrst applied back in the 1970’s and is a medical imaging technique for anatomical and physiological processes of the body. It is characterized by high sensitivity and distinctive diagnostic ability on soft tis-sues. A variety of pulse sequences with diﬀerent char...
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Magnetic Resonance Imaging (MRI) was ﬁrst applied back in the 1970’s and is a medical imaging technique for anatomical and physiological processes of the body. It is characterized by high sensitivity and distinctive diagnostic ability on soft tis-sues. A variety of pulse sequences with diﬀerent characteristics are available for the assessment and subsequent therapeutic approaches to prostate cancer. Advanced MR techniques such as Diﬀusion Weighted Imaging (DWI), Dynamic Contrast Enhanced imaging (DCE), MR Spectroscopy (MRS) and T2 Relaxometry (R2) can be applied along with conventional T2-weighted (T2w) imaging, called multiparametric MRI (mp-MRI), to add useful clinical value. However, MRI’s low speciﬁcity can make tumour detection diﬃcult or impossible. Moreover, not every technique is appropriate for low-grade low-volume prostate cancer evaluation and thus some have been excluded from several studies and clinical protocols, the optimization of which is critical for best results.In the present study a combination of T2w and DWI was evaluated as a potential diagnostic tool for detection, staging and guided biopsies for patients with possible early-stage prostate cancer. Quantiﬁcation of the noise ﬂoor in the DWI images and careful ﬁtting of the data suggests that the monoexponential model provides a very good ﬁt to the data and there is no evidence of non-Gaussian diﬀusion for b-values up to 1000 s/mm2. The kurtosis, a measure of non-Gaussianity, can therefore not be used as a biomarker. However, the ADC value was signiﬁcantly higher for suspicious regions than for normal regions. In addition, DWI showed high correlation with overall scores assigned according to the Prostate Imaging Reporting And Data System (PIRADS) and the results suggest that a simpliﬁed protocol combining T2w and DWI can be cost and time eﬃcient for early-stage prostate cancer diagnostic programme, combining robust MR biomarkers that can be reliably quantiﬁed and appear well-suited for general clinical practice.DCE MRI was also evaluated in diﬀerentiation between radiologically deﬁned nor-mal and suspicious regions in the prostate from patients suspected of early-stage prostate cancer. The MRI signal increase following contrast agent administration was evaluated for regions deﬁned as suspicious for malignancy or healthy, respectively. Background noise levels were calculated and signal intensities below a set threshold were excluded. The data was analysed using a phenomenological model that enables both quantiﬁcation of the signal increase due to contrast agent uptake and automatic classiﬁcation of the curve type according to previously established criteria. Curve-type classiﬁcation did not provide a clear diﬀerentiation between normal and suspicious re-gions either by visual or computer analysis. However, statistically signiﬁcant diﬀerences in the magnitude of the signal increase for normal and suspicious regions were observed. The results strengthen evidence that DCE MRI has limited value in the assessment of early stage, small volume prostate cancer in mp-MRI and that curve-type classiﬁcation is an unreliable technique for diﬀerentiation of normal and suspicious prostatic tissue.MRS scores did not signiﬁcantly correlate with overall PIRADS scores and added no clinical value compared to an mp-MRI protocol without MRS. In this study several post-processing steps were used to evaluate the acquired clinical spectra without the use of endorectal coil. The post-processing steps, especially baseline correction, aﬀected the signals heavily. Two diﬀerent approaches were used for peak integrations but the noisy spectra made their identiﬁcation ambiguous. MRS was removed from our mp-MRI protocol.In view of signiﬁcant current interest in quantitative MRI and considering the value of T2w imaging as mainstay in the diagnosis of disease, R2 mapping was investigated as a potential addition to the protocol. To this end, diﬀerent R2 mapping protocols were tested on contrast phantoms and a small number of volunteers and patients. Although promising, R2 mapping was not incorporated in the current clinical mp-MRI protocol due to a lack of a standardized parametrization and diﬀerences observed between diﬀerent protocols, which require further investigation and the development of optimal, standardized protocol.
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Swansea University Medical School