97 research outputs found
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Treatment of brain cancer and ischaemic stroke utilising High Intensity Focus Ultrasound (HIFU) guide with MRI
In this thesis high intensity focused ultrasound (HIFU) is utilized for cancer treatment (thermal mode) and treatment of ischaemic stroke (mechanical mode). These two applications were investigated in vitro and in vivo models. MRI was utilized to monitor the lesions created by HIFU either in thermal or cavitation mode in freshly excised lamb brain tissue in vitro, and in rabbit brain in vivo. Additionally, MRI was used to monitor lesions deep in tissue for both in vitro and in vivo exposures. All three MRI sequences used (T1-W FSE, T2-W FSE and FLAIR) were able to detect lesions. Both thermal and bubbly lesions were best monitored using T1-W FSE with excellent contrast, proving the potential of HIFU to treat reliably tumours in the brain. A HIFU system was also used to assist thrombolysis in cooperation with a thrombolytic drug such as recombinant tissue plasminogen activator (rt-PA) in vitro and in vivo. It was shown that higher intensity results to higher volume of dissolved clot, but there is a limit of the intensity to be used in order to avoid heating of the clot and the surrounding tissue. The goal in this study was to achieve temperature elevation not exceeding 1ºC (called safe temperature). It was found that the larger the beam area the larger the dissolved clot volume. Also, the lower the frequency, the larger the volume of the dissolved clot. The results reported herein point to the use of frequency around 0.5 MHz and pulsing to optimize thrombolysis and skull penetration and at the same time avoiding unwanted heating. Finally, an Acrylonitrile Butadiene Styrene (ABS) phantom skull model was developed in order to evaluate the propagation of ultrasound using a single element transducer. The skull model was appropriately designed so that it has the same attenuation as a human skull. It was demonstrated that using a frequency of 0.5 MHz versus 1 MHz, ultrasound propagation through the phantom skull was higher. Therefore, higher frequency has poor skull penetration and a small beam size at the focus, while low frequencies have better skull penetration but with the risk of reaching the unpredictable effect of cavitation. The developed system has proven to successfully create large lesions in the brain and at the same time, these lesions are successfully monitored with excellent contrast using MRI (T1-W FSE) enabling the accurate determination of the margins of these lesions. The results reported in this study point to the use of frequency around 0.5 MHz and pulsing to optimize thrombolysis and skull penetration and at the same time avoiding unwanted heating. For treating tumours located deep in the brain and for dissolving thrombus causing an acute ischaemic stroke, further extensive clinical studies will be needed before this technology is applied to humans
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Evaluation of fast spin echo MRI sequence for an MRI guided high intensity focused ultrasound system for in vivo rabbit liver ablation
The effectiveness of magnetic resonance imaging (MRI) to monitor thermal lesions created by High Intensity Focused Ultrasound (HIFU) in rabbit liver in vivo is investigated. The MRI sequences of T1-weighted, and T2-weighted fast spin echo (FSE) were evaluated. The main goal in this paper was to find the range of repetition time (TR) and range of echo time (TE) which maximizes the contrast to noise ratio (CNR). An ultrasonic transducer operating at 2 MHz was used, which is navigated using a positioning device. With T1W FSE the range of TR under which CNR is maximized ranges from 400 to 900 ms. The maximum contrast measured is approximately 25. With T2W FSE the range of TE that establishes maximum contrast is between 40 ms and 80 ms, with CNR of approximately 14. T1W FSE is much better than T2W FSE in detecting thermal lesions in liver. Both T1W and T2 W FSE were proven successful to image thermal lesions created by HIFU in rabbit liver in vivo
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MRI monitoring of lesions created at temperature below the boiling point and of lesions created above the boiling point using high intensity focused ultrasound
Magnetic Resonance Imaging (MRI) was utilized to monitor lesions created at temperature below the boiling point and lesions created at temperature above the boiling point using High Intensity Focused Ultrasound (HIFU) in freshly excised kidney, liver and brain and in vivo rabbit kidney and brain. T2-weighted fast spin echo (FSE) was proven as an excellent MRI sequence that can detect lesions with temperature above the boiling point in kidney. This advantage is attributed to the significant difference in signal intensity between the cavity and the thermal lesion. In liver the MRI sequence of Proton Density is recommended to detect lesions above boiling. In brain T1-W FSE was the optimum pulse sequence to detect lesions of either type. In order to monitor the temperature elevation during a HIFU exposure, T1-weighted fast spoiled gradient (FSPGR) was used. The shape of the focal temperature distribution was uniform with the absence of boiling, whereas with an exposure affected by boiling, the temperature distribution could be of irregular shape, demonstrating the drastic effects taking place during boiling. In order to confirm that boiling occurred, the temperature was estimated using the widely used method of Proton Resonance Frequency (PRF) shift
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Penetration of high intensity focused ultrasound in vitro and in vivo rabbit brain using MR imaging
In this paper magnetic resonance imaging (MRI) is investigated for monitoring the penetration of high intensity focused ultrasound (HIFU) ex vivo and in vivo rabbit brain. A single element spherically focused transducer of 5 cm diameter, focusing at 10 cm and operating at 2 MHz was used. A prototype MRI- compatible positioning device is described. MRI images were taken using fast spin echo (FSE). The length of the lesions in vivo rabbit brain was much higher than the length ex vivo, proving that the penetration in the ex vivo brain is limited by reflection due to trapped bubbles in the blood vessels
An investigation of breast cancer risk factors in Cyprus: a case control study
Background: Breast cancer is the most common form of malignancy affecting women worldwide. It is also the leading cancer in females in Cyprus, with approximately 400 new cases diagnosed annually. It is well recognized that genetic variation as well as environmental factors modulate breast cancer risk. The main aim of this study was to assess the strength of associations between recognized risk factors and breast cancer among Cypriot women. This is the first epidemiological investigation on risk factors of breast cancer among the Cypriot female population.Methods: We carried out a case-control study, involving 1,109 breast cancer patients and a group of 1,177 controls who were recruited while participating in the National screening programme for breast cancer. Information on demographic characteristics and potential risk factors were collected from both groups during a standardized interview. Logistic regression analysis was used to assess the strength of the association between each risk factor and breast cancer risk, before and after adjusting for the possible confounding effect of other factors.Results: In multivariable models, family history of breast cancer (OR 1.64, 95% CI 1.23, 2.19) was the strongest predictor of breast cancer risk in the Cypriot population. Late menarche (OR 0.64, 95% CI 0.45, 0.92 among women reaching menarche after the age of 15 vs. before the age of 12) and breastfeeding (OR 0.74, 95% CI 0.59, 0.92) exhibited a strong protective effect. In the case of breastfeeding, the observed effect appeared stronger than the effect of pregnancy alone. Surprisingly, we also observed an inverse association between hormone replacement therapy (HRT) although this may be a product of the retrospective nature of this study.Conclusion: Overall the findings of our study corroborate with the results of previous investigations on descriptive epidemiology of risk factors for breast cancer. This investigation provides important background information for designing detailed studies that aim to improve our understanding of the epidemiology of breast cancer in the Cypriot population, including the study of gene-environment interactions. Furthermore, our study provides the first scientific evidence for formulating targeted campaigns for prevention and early diagnosis of breast cancer in Cyprus
The mediterranean dietary pattern and breast cancer risk in Greek-Cypriot women: a case-control study
Background: Diet has long been suspected to impact on breast cancer risk. In this study we evaluated whether
the degree of adherence to a Mediterranean diet pattern modifies breast cancer risk amongst Greek-Cypriot
women.
Methods: Subjects included 935 cases and 817 controls, all participating in the MASTOS case-control study in
Cyprus. The study was approved by the Cyprus National Bioethics Committee. Information on dietary intakes was
collected using an interviewer administered 32-item Food Frequency Questionnaire. Information on demographic,
anthropometric, lifestyle, and other confounding factors was also collected. Adherence to the Mediterranean Diet
pattern was assessed using two a-priory defined diet scores. In addition, dietary patterns specific to our population
were derived using Principal Component Analysis (PCA). Logistic regression models were used to assess the
association between the dietary patters and breast cancer risk.
Results: There was no association with breast cancer risk for either score, however, higher consumptions of
vegetables, fish and olive oil, were independently associated with decreased risk. In addition, the PCA derived
component which included vegetables, fruit, fish and legumes was shown to significantly reduce risk of breast
cancer (ORs across quartiles of increasing levels of consumption: 0.89 95%CI: 0.65-1.22, 0.64 95%CI: 0.47-0.88, 0.67 95%CI: 0.49-0.92, P trend < 0.0001), even after adjustment for relevant confounders.
Conclusions: Our results suggest that adherence to a diet pattern rich in vegetables, fish, legumes and olive oil
may favorably influence the risk of breast cancer. This study is the first investigation of dietary effects on breast
cancer risk in Cyprus, a country whose population has traditionally adhered to the Mediterranean diet
Breast cancer risks associated with missense variants in breast cancer susceptibility genes
BACKGROUND: Protein truncating variants in ATM, BRCA1, BRCA2, CHEK2, and PALB2 are associated with increased breast cancer risk, but risks associated with missense variants in these genes are uncertain. METHODS: We analyzed data on 59,639 breast cancer cases and 53,165 controls from studies participating in the Breast Cancer Association Consortium BRIDGES project. We sampled training (80%) and validation (20%) sets to analyze rare missense variants in ATM (1146 training variants), BRCA1 (644), BRCA2 (1425), CHEK2 (325), and PALB2 (472). We evaluated breast cancer risks according to five in silico prediction-of-deleteriousness algorithms, functional protein domain, and frequency, using logistic regression models and also mixture models in which a subset of variants was assumed to be risk-associated. RESULTS: The most predictive in silico algorithms were Helix (BRCA1, BRCA2 and CHEK2) and CADD (ATM). Increased risks appeared restricted to functional protein domains for ATM (FAT and PIK domains) and BRCA1 (RING and BRCT domains). For ATM, BRCA1, and BRCA2, data were compatible with small subsets (approximately 7%, 2%, and 0.6%, respectively) of rare missense variants giving similar risk to those of protein truncating variants in the same gene. For CHEK2, data were more consistent with a large fraction (approximately 60%) of rare missense variants giving a lower risk (OR 1.75, 95% CI (1.47-2.08)) than CHEK2 protein truncating variants. There was little evidence for an association with risk for missense variants in PALB2. The best fitting models were well calibrated in the validation set. CONCLUSIONS: These results will inform risk prediction models and the selection of candidate variants for functional assays and could contribute to the clinical reporting of gene panel testing for breast cancer susceptibility
Identification of Stage-Specific Breast Markers using Quantitative Proteomics
YesMatched healthy and diseased tissues from breast cancer patients were analyzed by quantitative proteomics. By comparing proteomic profiles of fibroadenoma (benign tumors, three patients), DCIS (noninvasive cancer, three patients), and invasive ductal carcinoma (four patients), we identified protein alterations that correlated with breast cancer progression. Three 8-plex iTRAQ experiments generated an average of 826 protein identifications, of which 402 were common. After excluding those originating from blood, 59 proteins were significantly changed in tumor compared with normal tissues, with the majority associated with invasive carcinomas. Bioinformatics analysis identified relationships
between proteins in this subset including roles in redox regulation, lipid transport, protein folding, and proteasomal degradation, with a substantial number increased in expression due to Myc oncogene activation. Three target proteins, cofilin-1 and p23 (increased in invasive carcinoma) and membrane copper amine oxidase 3 (decreased in invasive carcinoma), were subjected to further validation. All three were observed in phenotype-specific breast cancer cell lines, normal (nontransformed) breast cell lines, and primary breast epithelial cells by Western blotting, but only cofilin-1 and p23 were detected by multiple reaction monitoring mass spectrometry analysis. All three proteins were detected by both analytical approaches in matched tissue biopsies emulating the response observed with proteomics analysis. Tissue microarray analysis (361 patients) indicated cofilin-1 staining positively correlating with tumor grade and p23 staining with ER positive status; both therefore merit further investigation as potential biomarkers.Cyprus Research Promotion Foundation, Yorkshire Cancer Researc
Breast cancer risk genes: association analysis in more than 113,000 women
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