Comparative study of the optimization theory for cancer treatment

2011 ◽  
Author(s):  
Hode Sbeity ◽  
Rafic Younes ◽  
Suat Topsu ◽  
Imad Mougharbel
Keyword(s):  
Comparative Study ◽  
Cancer Treatment ◽  
Optimization Theory

Comparative Study of Oncology Information Systems for Better Patient and Provider Outcomes

2020 ◽  
pp. 228-237
Author(s):  
Muhammad Nadeem Shuakat ◽  
Nilmini Wickramasinghe
Keyword(s):  
Information Systems ◽  
Comparative Study ◽  
Cancer Treatment ◽  
Real Time ◽  
Cancer Patients ◽  
Developed Countries ◽  
High Price ◽  
Treatment Protocols ◽  
Underdeveloped Countries ◽  
Provider Outcomes

Cancer is among the top three chronic diseases both in developed countries as well as underdeveloped countries. The diagnosis, medication, and treatment for cancer is extremely costly. Typically, cancer treatment involves surgery, radiotherapy, and chemotherapy. Owing to the extremely high price of medicine and treatment along with cytotoxicity of medication, cancer treatment warrants extraordinary care in treating cancer patients. Oncology information systems (OIS) provide an all-in-one solution for such problems. The OIS can integrate different treatment protocols and update change in dose and treatment in real time.

scholarly journals Comparative Study of Cancer Treatment Potential Effects of Tumor-Treating Fields and Cold Atmospheric Plasma

2020 ◽  
Vol 10 (1) ◽  
pp. 45-59 ◽  
Author(s):  
Xiaoliang Yao ◽  
Isaac Goldstein ◽  
Li Lin ◽  
Jonathan H. Sherman ◽  
Michael Keidar
Keyword(s):  
Comparative Study ◽  
Cancer Treatment ◽  
Atmospheric Plasma ◽  
Cold Atmospheric Plasma ◽  
Tumor Treating Fields

scholarly journals “Comparative study of surgical and oncologic outcomes in oncoplastic versus non- oncoplastic breast-conserving surgery for breast cancer treatment.”

JPRAS Open ◽  
2021 ◽  
Author(s):  
Natalie R. Almeida ◽  
Fabrício P. Brenelli ◽  
Cesar C. dos Santos ◽  
Renato Z. Torresan ◽  
Júlia Y. Shinzato ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Comparative Study ◽  
Cancer Treatment ◽  
Breast Conserving Surgery ◽  
Breast Cancer Treatment ◽  
Oncologic Outcomes

scholarly journals A comparative study of Watson for Oncology and tumor boards in breast cancer treatment

2019 ◽  
Vol 15 (1) ◽  
pp. 3-6 ◽  
Author(s):  
Dohoon Kim ◽  
Yun Young Kim ◽  
Joon-Hyop Lee ◽  
Yoo Seung Chung ◽  
Sangtae Choi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Comparative Study ◽  
Cancer Treatment ◽  
Breast Cancer Treatment ◽  
Tumor Boards

scholarly journals Investigation of Effect of Nanosecond Pulsed Electric Field on MCF-7 Breast Cancer Cells

2021 ◽  
Vol 11 (3) ◽  
pp. 43-49
Author(s):  
GYANENDRA KUMAR ◽  
Sandeep Shelar ◽  
Ankur Patel ◽  
Amitava Roy ◽  
Ramanujam Sarathi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Electric Field ◽  
Comparative Study ◽  
Cancer Treatment ◽  
Cancer Cells ◽  
Cell Line ◽  
Breast Cancer Cells ◽  
Cho Cell ◽  
Electrical Field ◽  
Mcf 7

Pulsed electric field therapy is a novel non-invasive approach for cancer therapy. It serves as a cell permeability enhancing agent for cancer treatment. Nanosecond, high-electrical field pulse power technology is used for delivering variable, controllable, intracellular electrical perturbations in several biological systems. Here, we investigated the effect of nanosecond (ns) electric pulse (nsEP) as a therapeutic tool for cancer. In in-vitro study, the breast cancer cells (MCF-7) were exposed with electric field of ~18kV/cm intensity, ~25ns duration, at 1.5Hz in a 2mm electroporation cuvette. Post exposure, observation shows a significant reduction in cell viability. It was evident that after treatment the viability of MCF-7 cancer cells at 630 pulses are remains ~38% only. The optical microscopic analysis of MCF-7 cells shows cell morphology changes after electrical pulse exposure. Moreover, we have also investigated a comparative study of the effect nano-second electrical pulses on MCF-7 cells and Chinese Hamster Ovary (CHO) cell line. The comparative study, demonstrated that the effect of nsEPF on MCF-7 is more destructive than on CHO cell line. The obtained results support that the pulse electrical field of nanosecond (ns) duration therapy would be a potential solution for cancer treatment. Keywords: Nanosecond Pulse Electric Field; Full Width at Half Maxima; Pulse Forming Line; Pulse Exposure; Viability;

scholarly journals A Comparative Study for Methodologies and Algorithms Used In Colon Cancer Diagnoses and Detection

2020 ◽  
Vol 4 (2) ◽  
pp. 113-128
Author(s):  
Mona Nasr ◽  
◽  
Laila Abdelhamid ◽  
Naglaa Shehata ◽  
◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Colon Cancer ◽  
Comparative Study ◽  
Cancer Treatment ◽  
Malignant Tumors ◽  
Early Stage ◽  
Stage Iv ◽  
The Body ◽  
Treatment Needs ◽  
Cancer Disease

Colon cancer is also referred to as colorectal cancer, a kind of cancer that starts with colon damage to the large intestine in the last section of the digestive tract. Elderly people typically suffer from colon cancer, but this may occur at any age.It normally starts as little, noncancerous (benign) mass of cells named polyps that structure within the colon. After a period of time these polyps can turn into advanced malignant tumors that attack the human body and some of these polyps can become colon cancers. So far, no concrete causes have been identified and the complete cancer treatment is very difficult to be detected by doctors in the medical field. Colon cancer often has no symptoms in early stage so detecting it at this stage is curable but colorectal cancer diagnosis in the final stages (stage IV), gives it the opportunity to spread to different pieces of the body, difficult to treat successfully, and the person's chances of survival are much lower. False diagnosis of colorectal cancer which mean wrong treatment for patients with long-term infections and they are suffering from colon cancer this causing the death for these patients. Also, the cancer treatment needs more time and a lot of money. This paper provides a comparative study for methodologies and algorithms used in colon cancer diagnoses and detection this can help for proposing a prediction for risk levels of colon cancer disease using CNN algorithm of the deep learning (Convolutional Neural Networks Algorithm).

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