Imaging Techniques in Cancer Diagnosis

2014 ◽  
pp. 43-62
Keyword(s):  
Cancer Diagnosis ◽  
Imaging Techniques

Trends in Nanotechnology for in vivo Cancer Diagnosis: Products and Patents

2020 ◽  
Vol 26 (18) ◽  
pp. 2167-2181
Author(s):  
Tatielle do Nascimento ◽  
Melanie Tavares ◽  
Mariana S.S.B. Monteiro ◽  
Ralph Santos-Oliveira ◽  
Adriane R. Todeschini ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Quantum Dots ◽  
Magnetic Resonance ◽  
Metal Nanoparticles ◽  
Cancer Diagnosis ◽  
Imaging Techniques ◽  
Tumor Detection ◽  
Abnormal Growth ◽  
Pharmaceutical Nanotechnology

Background: Cancer is a set of diseases formed by abnormal growth of cells leading to the formation of the tumor. The diagnosis can be made through symptoms’ evaluation or imaging tests, however, the techniques are limited and the tumor detection may be late. Thus, pharmaceutical nanotechnology has emerged to optimize the cancer diagnosis through nanostructured contrast agent’s development. Objective: This review aims to identify commercialized nanomedicines and patents for cancer diagnosis. Methods: The databases used for scientific articles research were Pubmed, Science Direct, Scielo and Lilacs. Research on companies’ websites and articles for the recognition of commercial nanomedicines was performed. The Derwent tool was applied for patent research. Results: This article aimed to research on nanosystems based on nanoparticles, dendrimers, liposomes, composites and quantum dots, associated to imaging techniques. Commercialized products based on metal and composite nanoparticles, associated with magnetic resonance and computed tomography, have been observed. The research conducted through Derwent tool displayed a small number of patents using nanotechnology for cancer diagnosis. Among these patents, the most significant number was related to the use of systems based on metal nanoparticles, composites and quantum dots. Conclusion: Although few systems are found in the market and patented, nanotechnology appears as a promising field for the development of new nanosystems in order to optimize and accelerate the cancer diagnosis.

MicroRNAs-Based Imaging Techniques in Cancer Diagnosis and Therapy

2017 ◽  
Vol 118 (12) ◽  
pp. 4121-4128 ◽  
Author(s):  
Maryam Keshavarzi ◽  
Saba Sorayayi ◽  
Mohammad Jafar Rezaei ◽  
Mohsen Mohammadi ◽  
Amir Ghaderi ◽  
...  
Keyword(s):  
Cancer Diagnosis ◽  
Imaging Techniques ◽  
Diagnosis And Therapy ◽  
Cancer Diagnosis And Therapy

Breast cancer diagnosis: Imaging techniques and biochemical markers

2018 ◽  
Vol 233 (7) ◽  
pp. 5200-5213 ◽  
Author(s):  
Seyed Hamed Jafari ◽  
Zahra Saadatpour ◽  
Arash Salmaninejad ◽  
Fatemeh Momeni ◽  
Mojgan Mokhtari ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Biochemical Markers ◽  
Imaging Techniques ◽  
Breast Cancer Diagnosis

scholarly journals COMPARATIVE FEATURES OF OPEN SOURCE SOFTWARE PRODUCTS FOR THE DEVELOPMENT OF AN AUTOMATED BREAST CANCER DIAGNOSTIC PROGRAM

2019 ◽  
Vol 7 (4) ◽  
pp. 377-385
Author(s):  
V. Kovalev ◽  
Y. Diachenko ◽  
V. Malyshev ◽  
S. Rjabceva ◽  
O. Kolomiets ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Open Source ◽  
Cancer Diagnosis ◽  
Open Source Software ◽  
Imaging Techniques ◽  
Digital Pathology ◽  
Third Party ◽  
Histopathological Diagnosis ◽  
Histological Verification ◽  
Whole Slide Images

Breast cancer is one of the most common cancer diseases in the world among women. The reliability of histological verification of breast cancer depends on pathologist’s experience, knowledge, his willingness to self-improve and study specialized literature. Digital pathology is also widely used for educational purposes, in telepathology, teleconsultation and research projects. Recently developed Whole Slide Image (WSI) system opens great opportunities in the histopathological diagnosis quality improvement. Digital whole-slide images provide the effective use of morphometry and various imaging techniques to assist pathologists in quantitative and qualitative evaluation of histopathological preparations. The development of software for morphological diagnosis is important for improving the quality of histological verification of diagnosis in oncopathology. The purpose of this work is to find and benchmark existing open-source software for the whole-slide histological images processing. Choosing an open source program is an important step in developing an automated breast cancer diagnosis program. The result is a detailed study of open-source software: ASAP, Orbit, Cytomine and QuPath. Their features and methods of image processing were analyzed. QuPath software has the best characteristics for extending it with an automated module for the cancer diagnosis. QuPath combines a user-friendly, easy-to-use interface, customizable functionality, and moderate computing power requirements. Besides, QuPath works with whole-slide images with immunohistochemical markers; features implemented in this software allow making a morphometric analysis. QuPath saves time for a graphical user interface development and provides a scalable system to add new key features. QuPath supports third-party MATLAB and Python extensions.

Subcellular imaging and diagnosis of cancer using engineered nanoparticles

2021 ◽  
Vol 27 ◽  
Author(s):  
Shivanand H Nannuri ◽  
Ajinkya N. Nikam ◽  
Abhijeet Pandey ◽  
Srinivas Mutalik ◽  
Sajan D. George
Keyword(s):  
Cancer Diagnosis ◽  
Multimodal Imaging ◽  
Imaging Techniques ◽  
Engineered Nanoparticles ◽  
Great Promise ◽  
Fluorescent Nanoparticles ◽  
Synthesis Of Nanoparticles ◽  
Diagnosis Of Cancer ◽  
Cancer Diagnosis And Therapy ◽  
Subcellular Imaging

: The advances in the synthesis of nanoparticles with engineered properties are reported to have profound applications in oncological disease detection via optical and multimodal imaging and therapy. Among various nanoparticle-assisted imaging techniques, engineered fluorescent nanoparticles show great promise from high contrast images and localized therapeutic applications. Of all the fluorescent nanoparticles available, the gold nanoparticles, carbon dots, and upconversion nanoparticles are emerging recently as the most promising candidates for diagnosis, treatment, and cancer monitoring. This review addresses the recent progress in engineering the properties of these emerging nanoparticles and their application for cancer diagnosis and therapy. In addition, the potential of these particles for subcellular imaging is also reviewed here.

Study of the Parameters Affecting the Loading of Fluorescein on Coated Gold Nanoparticles: Promising Nanostructure for Cancer Diagnosis

2020 ◽  
Vol 21 ◽  
Author(s):  
Nazanin Hendi ◽  
Ali Shakeri-Zadeh ◽  
Neda Attaran ◽  
Zahra Alamzadeh ◽  
Azadeh Asefnejad
Keyword(s):  
Gold Nanoparticles ◽  
Cancer Diagnosis ◽  
Imaging Techniques ◽  
Structural Features ◽  
Diagnostic Methods ◽  
Fluorescence Signal ◽  
Coating Agent ◽  
Measuring Device ◽  
Factors Affecting ◽  
B16f10 Cells

Background: Recent advances in nanotechnology have led to the use of nanomaterials in the diagnosis of cancer by imaging techniques. Objective: This study aimed to synthesize fluorescein-conjugated gold nanoparticles and study the parameters affecting the loading of fluorescein on synthesized coated gold nanoparticles with the ability to be used in medical diagnostic methods. Methods: The synthesized gold nanoparticles were functionalized with polyethylene glycol. Then, these particles were conjugated with fluorescein under different conditions. To investigate the optical and structural features as well as the factors affecting the loading, the nanoparticles were evaluated by ultraviolet-visible, fluorescence and FT-IR spectrophotometer, fluorescence spectrophotometer, transmission electron microscopy, dynamic light scattering, and zeta potential measuring device. Also, the use of these particles in cancer diagnosis on the skin melanoma cell (B16F10) was examined using a fluorescence microscope. Results: PEG-coated spherical gold nanoparticles were synthesized as a carrier for fluorescein dye detector. The coating agent concentration, incubation time, temperature, and pH of the medium affected the loading efficiency of fluorescein on the nanoparticles. Also, optimal conditions for use in the diagnostic applications were investigated. Ten micromolar of the sample were selected for cell imaging studies. The fluorescence signal of B16F10 cells containing nanoparticles was relatively strong, indicating the amount of nanoparticles uptaken by the cells. Conclusion: The results showed that by designing fluorescent gold nanoparticles with fluorescein as fluorescent detectors and considering their diagnostic importance, an efficient way to diagnose incurable diseases can be found.

Imaging Techniques in Cancer Diagnosis

2013 ◽  
pp. 19-38
Author(s):  
Mohamed El-Salam ◽  
Sonia Reda ◽  
Salwa Lotfi ◽  
Tamer Refaat ◽  
Eman El-Abd
Keyword(s):  
Cancer Diagnosis ◽  
Imaging Techniques

Utilization of Bio-Imaging in Cancer Studies

2021 ◽  
pp. 534-540
Author(s):  
Muneesh Kumar Barman ◽  
Manjita Srivastava ◽  
Meenakshi Singh ◽  
Khalid Umar Fakhri ◽  
Kailash Chand ◽  
...  
Keyword(s):  
Cancer Research ◽  
Cancer Cells ◽  
Cancer Diagnosis ◽  
Imaging Techniques ◽  
Ct Scans ◽  
Biological Studies ◽  
Bio Imaging ◽  
Cancer Studies ◽  
Precise Interpretation

Biological studies have always relied on visual data and its precise interpretation. Bio-imaging is an integral part of cancer research as well as the diagnosis and treatment of various cancers. Cancer research employs the various bio-imaging techniques of fluorescence microscopy like confocal microscopy, FRET, FRAP, TPEF, SGH, etc. to study the complexity and characteristics of different cancer cells. The development of live-cell imaging has also helped in understanding the important biological processes which differentiate cancer cells from their environment. Advancement in the field of cancer diagnosis has taken place with the development of sophisticated radiology techniques like MRI, CT scans, and FDG-PET. Also, the development of novel nanotechnology-based probes has improved the quality of both cancer research and diagnosis. In this chapter, the authors summarize some of the bio-imaging techniques which are being used in the field of cancer studies.

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