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Design and Fabrication of a Microfluidic Device for Hydrodynamic Label-Free Isolation of Circulating Tumor Cells From Blood
, M.Sc. Thesis Sharif University of Technology ; Vosoughi, Manouchehr (Supervisor) ; Alemzadeh, Iran (Supervisor)
Abstract
Circulating tumor cells (CTCs) are cancer cells which shed from the primary tumor, enter circulation and spread cancer all over the body. CTCs give valuable information about cancer and can help diagnosis and prognosis. Hence separating and isolating CTCs from blood is a necessity for cancer therapeutics. CTCs are separated from blood cells by their different physical or biochemical properties. Many groups have attempted different methods for separation of CTCs. Inertial microfluidics is one of the newest approaches in CTC separation technologies which separates CTCs based on their size. Current inertial microfluidic systems containing straight, spiral, serpentine and contraction expansion...
Simulation and Study of Iso-Dose Curve for Asymmetrical Balloon in Balloon-Brachytherapy with Cs-131
, M.Sc. Thesis Sharif University of Technology ; Hosseini, Abolfazl (Supervisor) ; Shirmardi, Pejman (Supervisor)
Abstract
Incidence of brain metastases (BM) from any tumor varies according to the method of data collection and date reported, ranging from 8 to 14 per 100,000 people per year. According to current population, about 6400 to 11000 BM Patients per year is expected. Without treatment, prognosis is dismal with survival of only 1–2 months. However, survival can be extended to 3–6 months with whole-brain radiotherapy (WBRT) and to 11 months with either surgery followed by adjuvant WBRT or surgery plus adjuvant stereotactic radiosurgery (SRS). Intravascular brachytherapy (generally iodine-125 (125I)) into the surgical cavity is another treatment strategy. 125I has been shown to confer local control...
Isolation of Circulating Tumor Cells Using an Aptamer-Based Microfluidic Device
, M.Sc. Thesis Sharif University of Technology ; Vosoughi, Manouchehr (Supervisor) ; Alemzadeh, Iran (Supervisor)
Abstract
Cancer is a major cause of mortality worldwide, with a disease burden estimated to grow over the coming decades. Circulating tumor cells (CTCs) are rare cancer cells released from the primary or metastatic tumors and transported though the peripheral circulatory system to their specific secondary locations. The presence of CTCs in a cancer patient’s blood has been used as a prognostic biomarker, with lower CTC count correlating with greater overall survival. In spite of its clinical potential, the isolation and detection of CTCs has been a challenging task due to its rare presence amongst other blood cells (as low as 1–10 CTCs per billions of blood cells) and variability in terms of both...
Experimental Study of Circulating Tumor Cell (CTC) by Application of Microfluidic Systems and its Related Characterization Studies
, Ph.D. Dissertation Sharif University of Technology ; Khorasheh, Farhad (Supervisor) ; Vossoughi, Manouchehr (Supervisor) ; Alemzadeh, Iran (Supervisor)
Abstract
Isolation and characterization of circulating tumor cells (CTCs) found in blood samples of cancer patients have been considered as a reliable source for cancer prognosis and diagnosis. A new continuous microfluidic platform has been designed in this investigation for simultaneous capture and characterization of CTCs based on their deformability. The deformability-based chip (D-Chip) consists of two sections of separation and characterization where slanted weirs with a gap of 7 μm were considered. Although sometimes CTCs and leukocytes have the same size, the deformability differs in such a way that can be exploited for enrichment purposes. MCF7 and MDA-MB-231 cell lines were used for the...
Detecting Metastatic Lung Cancer and Its Lesions From CT-Scan Images Using Deep Interpretable Networks
, M.Sc. Thesis Sharif University of Technology ; Rabiee, Hamid Reza (Supervisor)
Abstract
Using automated assistants in medical applications has been increased in recent years. One of the most popular methods are artificial intelligence and deep learning methods which are specifically used in medical images analysis. Using these methods can improve the diagnosis accuracy, while performing in a faster time. So these methods can reduce the economical costs, error rate, and response time. But one important challenge in deep learning methods, is the interpretability of neural networks. In this research we focused on introducing an interpretability method for our pixel-wise segmentation network which is applied to the lung nodules dataset. In this research we first implemented a...
mRNA-miRNA Interaction Network Analysis on Stages of Colorectal Cancer Abstract
, M.Sc. Thesis Sharif University of Technology ; Roostaazad, Reza (Supervisor) ; Najafi, Ali (Supervisor)
Abstract
Liver metastasis is the leading cause of death in patients with colorectal cancer (CRC). An increasing number of studies have shown that mRNAs, miRNAs, can play an important role in various biological processes that are related to cancer. Identifying and determining the relationship between them can help to diagnose and treat cancer.The aim of this study is to identify miRNA and molecular mRNA markers in the stage of polyp formation in order to diagnose colorectal cancer early and also to introduce therapeutic targets in the stage of metastasis.In this study, two microarray data sets GPL15207 and GPL16384 were analyzed to identify different miRNAs and mRNAs from the GEO database in three...