scholarly journals Differentiating Blood, Lymph, and Primo Vessels by Residual Time Characteristic of Fluorescent Nanoparticles in a Tumor Model

2013 ◽  
Vol 2013 ◽  
pp. 1-8
Author(s):  
Sungwoo Lee ◽  
Jaekwan Lim ◽  
Jinmyung Cha ◽  
Jin-Kyu Lee ◽  
Yeon Hee Ryu ◽  
...  
Keyword(s):  
Blood Vessel ◽  
Future Study ◽  
Tumor Tissue ◽  
Tumor Model ◽  
Time Characteristic ◽  
Lymph Vessel ◽  
Fluorescent Nanoparticles ◽  
Residual Time ◽  
Lymph Vessels ◽  
Long Time

Fluorescent nanoparticles (FNPs) which were injected into a tumor tissue flowed out through the blood and lymph vessels. The FNPs in blood vessels remained only in the order for few minutes while those in lymph vessels remained for a long time disappearing completely in 25 hours. We found a primo vessel inside a lymph vessel near a blood vessel, and FNPs remained in the primo vessel for longer than 25 hours. In addition, we examined in detail the residual time characteristics of lymph vessels because it could be useful in a future study of fluid dynamical comparison of the three conduits. These residual time characteristics of FNPs in the three kinds of vessels may have implications for the dynamics of nanoparticle drugs for cancer chemotherapy.

scholarly journals Primo Vascular System Accompanying a Blood Vessel from Tumor Tissue and a Method to Distinguish It from the Blood or the Lymph System

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Jaekwan Lim ◽  
Sungwoo Lee ◽  
Zhendong Su ◽  
Hong Bae Kim ◽  
Jung Sun Yoo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lung Cancer ◽  
Mouse Model ◽  
Blood Vessel ◽  
Tumor Tissue ◽  
Vascular System ◽  
Abdominal Cavity ◽  
Lymph Vessel ◽  
Lymph System ◽  
Efficient Criteria

A primo vessel was observed in the abdominal cavity in the lung cancer mouse model, and its function as an extra metastatic path was observed. In this work, we found a primo vessel accompanying a blood vessel emanating from a tumor in the skin. We also presented simple and efficient criteria to distinguish a primo vessel from a blood or a lymph vessel and from a nerve. The criteria for using DAPI and Phalloidin will be useful in clinical situations to find and identify the primo vessels among the blood vessels, lymph vessels, or nerves in the tissue surrounding a tumor such as a melanoma or breast cancer.

Dysprosium-enhanced MR imaging for tumor tissue characterization

1997 ◽  
Vol 38 (2) ◽  
pp. 281-286 ◽  
Author(s):  
C. Wang ◽  
A. Sundin ◽  
A. Ericsson ◽  
T. Bach-Gansmo ◽  
A. Hemmingsson ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Tissue Characterization ◽  
Tumor Tissue ◽  
Tumor Model ◽  
Human Colon ◽  
Mr Images ◽  
Histological Sections ◽  
Necrotic Tumor ◽  
Before And After ◽  
Weighted Sequences

Purpose: to evaluate dysprosium-enhanced MR imaging for differentiation between morphologically intact and necrotic tumor tissue in a tumor model. Material and Methods: A human colon carcinoma was transplanted subcutaneously into 9 nude (immunodeprived) rats. MR imaging was performed before and after injection of the dysprosium agent Dy-DTPA-BMA. T1-, T2- and T2*-weighted sequences were acquired. the tumors were dissected, histological sections were prepared, and compared with corresponding MR images. Results: in intact tissue, the MR signal intensity in the T2- and T2*-weighted images decreased after Dy injection and the delineation of the intact regions were sharp and corresponded well to the gross histological sections. Conclusion: Dy-enhanced MR imaging facilitated the differentiation between intact and necrotic tumor tissue.

scholarly journals On the question of the treatment of uterine blood tumors

2020 ◽  
Vol 11 (4) ◽  
pp. 403-417
Author(s):  
Gr. N. Egorov
Keyword(s):  
Blood Vessel ◽  
Whole Blood ◽  
Total Mass ◽  
Lymphatic System ◽  
Blood Clot ◽  
Abdominal Cavity ◽  
The Body ◽  
Long Time ◽  
Life Threatening

The abdominal cavity is, in essence, an appendage of the lymphatic system, therefore, it cannot represent a completely foreign container for the blood poured out here. Indeed, the observations of Virchow, Wintrich and others show that whole blood can remain in this cavity for a long time (several days) without undergoing clotting (Pashutin). In view of this fact, it is natural to expect, as is confirmed by experiments, that most of the blood that has entered the abdominal cavity has time to be absorbed before it begins to coagulate. If a part of it, which failed to be absorbed in time, undergoes clotting, then this does not represent any particular disturbances in the overall economy of blood, the blood clot is completely absorbed after preliminary disintegration (fat). In this sense, hemorrhage into the abdominal cavity is not life-threatening, since the blood does not disappear for the body, but soon again, almost entirely, enters the total mass of the blood vessel.

scholarly journals Numerical Investigation of Drug Transport from Blood Vessels to Tumor Tissue Using a Tumor-Vasculature-on-a-Chip

2019 ◽  
Author(s):  
Wei Li ◽  
Hao-Fei Wang ◽  
Zhi-Yong Li ◽  
Tong Wang ◽  
Chun-Xia Zhao
Keyword(s):  
Tumor Microenvironment ◽  
Blood Vessel ◽  
Drug Concentration ◽  
Tumor Size ◽  
Drug Transport ◽  
Tumor Tissue ◽  
Transport Model ◽  
Temporal Structure ◽  
Drug Distribution ◽  
Tumor Vasculature

AbstractThe delivery of adequate concentration of anticancer drugs to tumor site is critical to achieve effective therapeutic treatment, but it is challenging to experimentally observe drug transport and investigate the spatial distribution of the drug in tumor microenvironment. In this study, we investigated the drug transport from a blood vessel to tumor tissue, and explored the effect of tumor size, tumor numbers and positioning on drug concentration distribution using a numerical method in combination with a microfluidic Tumor-Vasculature-on-a-Chip (TVOC) model. The TVOC model is composed of a vessel channel, a tumor channel sandwiched with a porous membrane. A species transport model based on computational fluid dynamics was adapted to investigate drug transport. The numerical simulation was firstly validated using experimental data, and then used to analyse the spatial-temporal structure of the flow, and to investigate the effect of tumor size and positioning on drug transport and drug concentration heterogeneity. We found the drug concentration surrounding the tumor is highly heterogeneous, with the most downstream point the most difficult for drugs to transport and the nearest point to the blood vessel the easiest. Moreover, tumor size and positioning contribute significantly to this drug concentration heterogeneity on tumor surface, which is dramatically augmented in large and downstream-positioned tumors. These studies established the relationship between solid tumor size/positioning and drug concentration heterogeneity in the tumor microenvironment, which could help to understand heterogenous drug distribution in tumor microenvironment.

Approaching Tumor Tissue in Local Blood Vessel for Targeted Drug Delivery by Nanorobots

2016 ◽  
Vol 13 (10) ◽  
pp. 6654-6661
Author(s):  
Qingying Zhao ◽  
Min Li ◽  
Jun Luo ◽  
Hanqing Wang ◽  
Jinge Cao
Keyword(s):  
Drug Delivery ◽  
Blood Vessel ◽  
Cancer Cells ◽  
Acoustic Signal ◽  
Targeted Drug Delivery ◽  
Control Algorithm ◽  
Tumor Tissue ◽  
Acoustic Signals ◽  
Velocity Characteristic ◽  
Targeted Drug

This paper describes a nanorobot control algorithm designed for approaching tumor tissue in local blood vessel for targeted drug delivery. The algorithm coordinates nanorobots’ movements through use of two types of chemical molecules, an acoustic signal and velocity characteristic of blood fluid. After detecting the chemical molecules released by cancer cells, a nanorobot moves toward the area of higher concentration of the molecule and releases another chemical molecule which alerts others to aggregate to the target. When nanorobots detect acoustic signals emitted by nanorobots reaching target, their paths will be planned according to intensity of acoustic signals and velocity characteristic of blood fluid. The simulations show that compared with the existed approaches, the proposed algorithm results in an increase of nanorobots’ population and a decrease of cost time to reach target site with the help of acoustic signals and velocity characteristic. As a whole, the results obtained suggest that the algorithm presented in this paper is a better strategy for approaching tumor tissue in local blood vessel by nanorobots.

scholarly journals Tumor microenvironment in focus: LA-ICP-MS bioimaging of a preclinical tumor model upon treatment with platinum(iv)-based anticancer agents

Metallomics ◽  
2015 ◽  
Vol 7 (8) ◽  
pp. 1256-1264 ◽  
Author(s):  
Sarah Theiner ◽  
Christoph Kornauth ◽  
Hristo P. Varbanov ◽  
Markus Galanski ◽  
Sushilla Van Schoonhoven ◽  
...  
Keyword(s):  
Tumor Microenvironment ◽  
Anticancer Agents ◽  
Tumor Tissue ◽  
Tumor Model ◽  
High Concentration ◽  
Concentration Gradients ◽  
Icp Ms

Bioimaging of Pt in tumor tissue exhibited unexpected high concentration gradients, correlating with histologic features.

18F-fluoro-2′-deoxyuridine as a tracer of nucleic acid metabolism in brain tumors

1990 ◽  
Vol 72 (1) ◽  
pp. 110-113 ◽  
Author(s):  
Yuji Tsurumi ◽  
Motonobu Kameyama ◽  
Kiichi Ishiwata ◽  
Ryuichi Katakura ◽  
Minoru Monma ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Nucleic Acid ◽  
Tumor Tissue ◽  
Acid Metabolism ◽  
Tumor Model ◽  
Nucleic Acid Metabolism ◽  
Content Type ◽  
Positron Emission ◽  
Rat Brain Tumor ◽  
Notable Increase

✓ The value of 18F-fluoro-2′-deoxyuridine (18F-FUdR) as a tracer for nucleic acid metabolism was studied using an experimental rat brain-tumor model. The 18F activity in the tumor tissue 45 minutes after intravenous injection of 18F-FUdR was about 12 times higher than that in the contralateral cortex. Double-labeled autoradiography with 18F-FUdR and 14C-thymidine revealed similar brain-tumor images. In contrast, an autoradiographic comparison of 18F-FUdR with 14C-aminoisobutyric acid, which reveals the impairment of the blood-brain barrier, showed very different images. Also, the 18F radioactivity in the tumor tissue was at a constant level for 30 to 120 minutes, whereas a notable increase in 18F activity with time was observed in nucleotides and acid-insoluble fractions. These results suggest that the distribution pattern of 18F-FUdR closely correlates with the metabolism of nucleic acid and that this drug could be a useful tracer for positron emission tomography.

scholarly journals Modeling of Tumor Occurrence and Growth – II

2021 ◽  
pp. 72-83
Author(s):  
S.N. Antontsev ◽  
А.А. Papin ◽  
M.A. Tokareva ◽  
E.I. Leonova ◽  
E.A. Gridushko
Keyword(s):  
Blood Vessel ◽  
Blood Vessels ◽  
Cellular Proliferation ◽  
Tumor Tissue ◽  
Mixture Theory ◽  
Theory Approach ◽  
Cancer Disease ◽  
Cylindrical Structures ◽  
The Mathematical Model ◽  
Oxidation Of Glucose

This paper considers the mathematical model of tumor growth along a blood vessel. The model employs the mixture theory approach to describe a tissue that consists of cells, extracellular matrix, and liquid. The growing tumor tissue is supposed to be surrounded by the host tissue. Tumors, where complete oxidation of glucose prevails, are considered. Special attention is paid to consistent descriptions of oxygen consumption and growth processes based on the energy balance. The level set method is used to track an interface between the tissues. The simulations show localization of the tumor within a limited distance from the vessels and constant expansion speed along the vessels. Cancer disease manifests itself as abnormally excessive cell proliferation. This is the result of dysregulation of normal constraints on cellular proliferation. This fact has serious implications on the morphology of the growth. The intensive proliferation of tumor cells creates cell populations distant from blood vessels and deprived of nutrient and oxygen supply while most of the cells in the human body are within few cell diameters from a blood vessel. This leads to the formation of cylindrical structures around blood vessels.

Retinal Blood Vessel Segmentation Using Ensemble of Single Oriented Mask Filters

2017 ◽  
Vol 7 (3) ◽  
pp. 1414
Author(s):  
Fauziah Kasmin ◽  
Azizi Abdullah ◽  
Anton Satria Prabuwono
Keyword(s):  
Blood Vessel ◽  
Vessel Segmentation ◽  
Support Vector ◽  
Retinal Images ◽  
Blood Vessel Segmentation ◽  
Training Images ◽  
Retinal Blood Vessels ◽  
Average Accuracy ◽  
Long Time ◽  
Automated Screening

This paper describes a method on segmentation of blood vessel in retinal images using supervised approach. Blood vessel segmentation in retinal images can be used for analyses in diabetic retinopathy automated screening. It is a very exhausting job and took a very long time to segment retinal blood vessels manually. Moreover these tasks also requires training and skills. The strategy involves the applications of Support Vector Machine to classify each pixel whether it belongs to a vessel or not. Single mask filters which consist of intensity values of normalized green channel have been generated according to the direction of angles. These single oriented mask filters contain the vectors of the neighbourhood of each pixel. Five images randomly selected from DRIVE database are used to train the classifier. Every single oriented mask filters are ranked according to the average accuracy of training images and their weights are assigned based on this rank.  Ensemble approaches that are Addition With Weight and Product With Weight have been used to combine all these single mask filters. In order to test the proposed approach, two standard databases, DRIVE and STARE have been used. The results of the proposed method clearly show improvement compared to other single oriented mask filters.

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