The Development of FMTVDM-BEST IMAGING©℗: The Answer for Breast Cancer. Breast Enhanced Scintigraphy Test (BEST©℗): Quantifying the Detection of Breast Cancer and its Treatment.

R. M. Fleming, W. Dooley, T. Chaudhuri
{"title":"The Development of FMTVDM-BEST IMAGING©℗: The Answer for Breast Cancer. Breast Enhanced Scintigraphy Test (BEST©℗): Quantifying the Detection of Breast Cancer and its Treatment.","authors":"R. M. Fleming, W. Dooley, T. Chaudhuri","doi":"10.4172/2155-9619.1000350","DOIUrl":null,"url":null,"abstract":"Background: The diagnostic testing for breast cancer has been limited by the absence of a method, which can quantitatively differentiate tissue differences; specifically differentiation between calcium deposits, normal breast tissue, inflammatory changes in breast tissue and breast cancer. Such a quantitative method would remove the issue of sensitivity and specificity errors and allow for diagnostic decision-making including treatment monitoring. Method: A series of investigations were conducted over an 18-year period of time looking at more than 1000 women and men suspected of having breast tissue abnormalities. The studies compared pathologic tissue results with outcomes using other diagnostic studies and FMTVDM-BEST©℗ Imaging. The studies began with asking the fundamental questions necessary to produce such a quantitative diagnostic test, followed by correcting for errors encountered by other methods. Following the initial work comparing FMTVDM-BEST©℗ Imaging with other tests and tissue pathology results, the investigations turned to monitoring changes in women over time, demonstrating the ability to monitor treatment results from surgery, chemotherapy, radiation therapy, immune therapy, diet and lifestyle changes. Further work was conducted to assure that the time within a woman’s cycle did not affect FMTVDM-BEST©℗ Imaging. The next series of studies looked at the effect that soy protein, smoking and hormone treatment (HRT) had on breast tissue health and the relationship between breast cancer and these influences. The summation of all of these studies included looking at breast density and breast implants as well as male patients. Results: FMTVDM-BEST©℗ Imaging quantitatively differentiates between breast calcium deposits, normal breast tissue, inflammatory changes and breast cancer. It can monitor transitions in tissue showing both the progression and regression of disease allowing clinicians to monitor treatment outcomes independent of the treatment approach used. FMTVDM-BEST©℗ Imaging is not affected by breast density, breast implants, mastectomy or size of breast; including male patients. : FMTVDM-BEST©℗ Imaging provides the first and only quantitative method, which can differentiate tissues based upon changes in measurements obtained from this patented method. As such, it can detect changes in tissue leading to breast cancer allowing for greater treatment opportunities, as well as monitoring outcomes of treatment for breast cancer and other abnormalities (e.g. fibrocystic disease). FMTVDM-BEST©℗ Imaging works independent of whether the patient has dense breast tissue, breast implants, is on HRT, smokes or has undergone previous treatment in both men and women.","PeriodicalId":302578,"journal":{"name":"Journal of Nuclear Medicine and Radiation Therapy","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nuclear Medicine and Radiation Therapy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/2155-9619.1000350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

Background: The diagnostic testing for breast cancer has been limited by the absence of a method, which can quantitatively differentiate tissue differences; specifically differentiation between calcium deposits, normal breast tissue, inflammatory changes in breast tissue and breast cancer. Such a quantitative method would remove the issue of sensitivity and specificity errors and allow for diagnostic decision-making including treatment monitoring. Method: A series of investigations were conducted over an 18-year period of time looking at more than 1000 women and men suspected of having breast tissue abnormalities. The studies compared pathologic tissue results with outcomes using other diagnostic studies and FMTVDM-BEST©℗ Imaging. The studies began with asking the fundamental questions necessary to produce such a quantitative diagnostic test, followed by correcting for errors encountered by other methods. Following the initial work comparing FMTVDM-BEST©℗ Imaging with other tests and tissue pathology results, the investigations turned to monitoring changes in women over time, demonstrating the ability to monitor treatment results from surgery, chemotherapy, radiation therapy, immune therapy, diet and lifestyle changes. Further work was conducted to assure that the time within a woman’s cycle did not affect FMTVDM-BEST©℗ Imaging. The next series of studies looked at the effect that soy protein, smoking and hormone treatment (HRT) had on breast tissue health and the relationship between breast cancer and these influences. The summation of all of these studies included looking at breast density and breast implants as well as male patients. Results: FMTVDM-BEST©℗ Imaging quantitatively differentiates between breast calcium deposits, normal breast tissue, inflammatory changes and breast cancer. It can monitor transitions in tissue showing both the progression and regression of disease allowing clinicians to monitor treatment outcomes independent of the treatment approach used. FMTVDM-BEST©℗ Imaging is not affected by breast density, breast implants, mastectomy or size of breast; including male patients. : FMTVDM-BEST©℗ Imaging provides the first and only quantitative method, which can differentiate tissues based upon changes in measurements obtained from this patented method. As such, it can detect changes in tissue leading to breast cancer allowing for greater treatment opportunities, as well as monitoring outcomes of treatment for breast cancer and other abnormalities (e.g. fibrocystic disease). FMTVDM-BEST©℗ Imaging works independent of whether the patient has dense breast tissue, breast implants, is on HRT, smokes or has undergone previous treatment in both men and women.
FMTVDM-BEST成像技术的发展©©:乳腺癌的答案。乳腺增强闪烁成像试验(BEST©©):量化乳腺癌的检测及其治疗。
背景:由于缺乏一种定量区分组织差异的方法,乳腺癌的诊断测试一直受到限制;特别是区分钙沉积,正常乳腺组织,乳腺组织炎症变化和乳腺癌。这种定量方法将消除敏感性和特异性错误的问题,并允许包括治疗监测在内的诊断决策。方法:在18年的时间里,对1000多名怀疑患有乳腺组织异常的女性和男性进行了一系列调查。研究将病理组织结果与其他诊断研究和FMTVDM-BEST结果进行了比较©©Imaging。这些研究首先提出了产生这种定量诊断测试所必需的基本问题,然后纠正了其他方法遇到的错误。在将FMTVDM-BEST©©©Imaging与其他测试和组织病理学结果进行比较的初步工作之后,调查转向监测妇女随时间的变化,证明有能力监测手术、化疗、放射治疗、免疫治疗、饮食和生活方式改变的治疗结果。进一步的工作是为了确保女性月经周期内的时间不影响FMTVDM-BEST©©Imaging。接下来的一系列研究着眼于大豆蛋白、吸烟和激素治疗(HRT)对乳腺组织健康的影响,以及乳腺癌与这些影响之间的关系。所有这些研究的总和包括观察乳房密度和乳房植入物以及男性患者。结果:FMTVDM-BEST©©Imaging定量区分乳腺钙沉积,正常乳腺组织,炎症变化和乳腺癌。它可以监测组织中的转变,显示疾病的进展和消退,使临床医生能够监测治疗结果,而不依赖于所使用的治疗方法。FMTVDM-BEST©©影像不受乳房密度、乳房植入物、乳房切除术或乳房大小的影响;包括男性患者。: FMTVDM-BEST©©Imaging提供了第一个也是唯一的定量方法,可以根据从该专利方法中获得的测量值的变化来区分组织。因此,它可以检测导致乳腺癌的组织变化,从而提供更多的治疗机会,并监测乳腺癌和其他异常(例如纤维囊性疾病)的治疗结果。FMTVDM-BEST©©成像工作独立于患者是否有致密的乳房组织,乳房植入物,正在接受激素替代疗法,吸烟或之前接受过治疗的男性和女性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信