PROSTATE CANCER DIAGNOSTICS MODELING USING THE INFRARED IMAGING METHOD.

B Partsvania, T Sulaberidze, A Khuskivadze, S Abazadze
{"title":"PROSTATE CANCER DIAGNOSTICS MODELING USING THE INFRARED IMAGING METHOD.","authors":"B Partsvania, T Sulaberidze, A Khuskivadze, S Abazadze","doi":"10.15407/exp-oncology.2024.03.268","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Imaging plays an important role in the identification of prostate cancer (PCa). However, a shortcoming of the current imaging techniques is their inability to detect PCa at an early stage of development when tumor volume is small. This led us to explore new and improved imaging methods. The phenomenon that infrared (IR) light penetrates biological tissues caused our efforts to utilize IR rays for PCa visualization. The aim of this study was to conduct model experiments to demonstrate how IR light could be used in the future to detect PCa in vivo.</p><p><strong>Materials and methods: </strong>Experiments were carried out on prostates obtained after radical prostatectomy. The study was approved by the ethical commission of the Georgia-Israel Joint Clinic \"Gidmedi\". We developed a device that uses IR light to illuminate a prostate from the inside. In order to get IR images of the prostate, we developed a device with an IR-sensitive charge-coupled device (CCD) camera. The model experiments showed that the intensity of IR light passing through noncancerous and malignant prostate tissues is significantly different allowing their distinguishment. The visualization device can detect PCa lesions as small as several millimeters.</p><p><strong>Conclusion: </strong>These results suggest that our device could be useful for the detection of small PCa lesions.</p>","PeriodicalId":94318,"journal":{"name":"Experimental oncology","volume":"46 3","pages":"268-272"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Experimental oncology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15407/exp-oncology.2024.03.268","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Imaging plays an important role in the identification of prostate cancer (PCa). However, a shortcoming of the current imaging techniques is their inability to detect PCa at an early stage of development when tumor volume is small. This led us to explore new and improved imaging methods. The phenomenon that infrared (IR) light penetrates biological tissues caused our efforts to utilize IR rays for PCa visualization. The aim of this study was to conduct model experiments to demonstrate how IR light could be used in the future to detect PCa in vivo.

Materials and methods: Experiments were carried out on prostates obtained after radical prostatectomy. The study was approved by the ethical commission of the Georgia-Israel Joint Clinic "Gidmedi". We developed a device that uses IR light to illuminate a prostate from the inside. In order to get IR images of the prostate, we developed a device with an IR-sensitive charge-coupled device (CCD) camera. The model experiments showed that the intensity of IR light passing through noncancerous and malignant prostate tissues is significantly different allowing their distinguishment. The visualization device can detect PCa lesions as small as several millimeters.

Conclusion: These results suggest that our device could be useful for the detection of small PCa lesions.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用红外成像方法建立前列腺癌诊断模型。
背景:影像学在前列腺癌(PCa)的鉴别中起着重要的作用。然而,当前成像技术的一个缺点是无法在肿瘤体积很小的早期发现前列腺癌。这促使我们探索新的和改进的成像方法。红外(IR)光穿透生物组织的现象促使我们努力利用红外线进行PCa可视化。本研究的目的是进行模型实验,以证明未来如何使用红外光在体内检测PCa。材料与方法:对根治性前列腺切除术后获得的前列腺进行实验。这项研究得到了格鲁吉亚-以色列联合诊所“Gidmedi”伦理委员会的批准。我们开发了一种利用红外线从内部照射前列腺的装置。为了获得前列腺的红外图像,我们研制了一种带有红外敏感电荷耦合器件(CCD)相机的装置。模型实验表明,通过非癌性前列腺组织和恶性前列腺组织的红外光强度有显著差异,可以区分它们。可视化设备可以检测到小到几毫米的前列腺癌病变。结论:本装置可用于前列腺癌小病变的检测。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
AGGRESSIVE RHABDOID TUMOR IN THE RIGHT LUNG: A CASE REPORT. EFFECT OF ADHESIVE LLC CELL PRETREATMENT BY OXAMATE ON THE SURVIVAL INDEXES AFTER TRANSITION TO DE-ADHESIVE GROWTH. EVOLUTION OF METFORMIN IN BREAST CANCER THERAPY IN LAST TWO DECADES: A REVIEW. OSTEOPONTIN-REGULATED CHANGES IN THE MAST CELL POPULATION ASSOCIATED WITH BREAST CANCER. PROSTATE CANCER DIAGNOSTICS MODELING USING THE INFRARED IMAGING METHOD.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1