脊柱局灶性病变的标准和放射学鉴别诊断

Nikolay I. Sergeev, P. M. Kotlyarov, V. A. Solodkiy
{"title":"脊柱局灶性病变的标准和放射学鉴别诊断","authors":"Nikolay I. Sergeev, P. M. Kotlyarov, V. A. Solodkiy","doi":"10.17816/vto322858","DOIUrl":null,"url":null,"abstract":"BACKGROUND: If focal changes in the bones are detected, the radiologist must exclude or confirm the presence of a metastatic lesion. Although the semiotics of metastatic and non-oncological changes according to magnetic resonance imaging (MRI) data is well known, in practice, there may be various combinations of their characteristics that are influenced by other chronic diseases and parallel processes, which significantly complicate interpretation. The use of computer image analysis methods has great prospects and can improve the diagnostic accuracy of standard imaging methods. \nOBJECTIVE: To improve the accuracy of diagnosing radiographic findings of focal changes in the spine using additional image evaluation by computer analysis algorithms. \nMATERIALS AND METHODS: Thirty patients were examined, and 15 of them had metastatic bone lesions from breast cancer, and 15 had focal changes in the spine of a non-oncological nature. Computer analysis of focal changes in the vertebral bodies was conducted according to T1WI, T2WI, and STIR MRI sequences. For the computer analysis, the operator of the complexity of the image Arzela and histogram distribution of brightness were used. \nRESULTS: The main differential indicators for hemangioma, conditionally normal areas of the bone marrow, and metastatic foci have been established. The Arzela data image complexity operator was approximately 0.07 for hemangioma, approximately 0.05 for metastases (mts), and approximately 0.04 for vertebrae. The brightness histogram operator was approximately 1.12 for haemangioma and approximately 0.94 for mts. Regarding the difference between indicators, the difference is 20%25%, between hemangioma and bone marrow and 35% between mts and bone marrow, which make it possible to effectively use these indicators together with other markers. \nCONCLUSION: The criteria for differential diagnosis obtained using radiomic analysis showed significant differences between focal changes in the vertebrae of various etiologies. From a mathematical point of view, they are advisory, and the doctor with experience remains at the center of the decision-making system.","PeriodicalId":308632,"journal":{"name":"N.N. Priorov Journal of Traumatology and Orthopedics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Differential diagnosis of focal changes in the spine using standard and radiomic analysis\",\"authors\":\"Nikolay I. Sergeev, P. M. Kotlyarov, V. A. Solodkiy\",\"doi\":\"10.17816/vto322858\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BACKGROUND: If focal changes in the bones are detected, the radiologist must exclude or confirm the presence of a metastatic lesion. Although the semiotics of metastatic and non-oncological changes according to magnetic resonance imaging (MRI) data is well known, in practice, there may be various combinations of their characteristics that are influenced by other chronic diseases and parallel processes, which significantly complicate interpretation. The use of computer image analysis methods has great prospects and can improve the diagnostic accuracy of standard imaging methods. \\nOBJECTIVE: To improve the accuracy of diagnosing radiographic findings of focal changes in the spine using additional image evaluation by computer analysis algorithms. \\nMATERIALS AND METHODS: Thirty patients were examined, and 15 of them had metastatic bone lesions from breast cancer, and 15 had focal changes in the spine of a non-oncological nature. Computer analysis of focal changes in the vertebral bodies was conducted according to T1WI, T2WI, and STIR MRI sequences. For the computer analysis, the operator of the complexity of the image Arzela and histogram distribution of brightness were used. \\nRESULTS: The main differential indicators for hemangioma, conditionally normal areas of the bone marrow, and metastatic foci have been established. The Arzela data image complexity operator was approximately 0.07 for hemangioma, approximately 0.05 for metastases (mts), and approximately 0.04 for vertebrae. The brightness histogram operator was approximately 1.12 for haemangioma and approximately 0.94 for mts. Regarding the difference between indicators, the difference is 20%25%, between hemangioma and bone marrow and 35% between mts and bone marrow, which make it possible to effectively use these indicators together with other markers. \\nCONCLUSION: The criteria for differential diagnosis obtained using radiomic analysis showed significant differences between focal changes in the vertebrae of various etiologies. From a mathematical point of view, they are advisory, and the doctor with experience remains at the center of the decision-making system.\",\"PeriodicalId\":308632,\"journal\":{\"name\":\"N.N. Priorov Journal of Traumatology and Orthopedics\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"N.N. Priorov Journal of Traumatology and Orthopedics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17816/vto322858\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"N.N. Priorov Journal of Traumatology and Orthopedics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17816/vto322858","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

背景:如果检测到骨局灶性改变,放射科医生必须排除或确认转移灶的存在。尽管根据磁共振成像(MRI)数据,转移性和非肿瘤性变化的符号学是众所周知的,但在实践中,它们的特征可能会受到其他慢性疾病和平行过程的影响,从而使解释变得非常复杂。计算机图像分析方法的应用具有广阔的前景,可以提高标准成像方法的诊断准确率。目的:利用计算机分析算法进行附加图像评价,提高脊柱局灶性改变影像学诊断的准确性。材料和方法:对30例患者进行了检查,其中15例为乳腺癌转移性骨病变,15例为非肿瘤性脊柱局灶性改变。根据T1WI、T2WI和STIR MRI序列对椎体局灶性变化进行计算机分析。在计算机分析中,采用图像复杂度算子Arzela和亮度直方图分布。结果:建立了血管瘤的主要鉴别指标、骨髓条件正常区和转移灶。Arzela数据图像复杂度算子对于血管瘤约为0.07,对于转移瘤约为0.05,对于椎骨约为0.04。血管瘤的亮度直方图算子约为1.12,mts的亮度直方图算子约为0.94,在指标间的差异上,血管瘤与骨髓的差异为20% - 25%,mts与骨髓的差异为35%,这使得这些指标可以与其他标志物有效地结合使用。结论:放射组学分析获得的鉴别诊断标准显示不同病因的椎体局灶性改变有显著差异。从数学的角度来看,它们是建议,有经验的医生仍然是决策系统的中心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Differential diagnosis of focal changes in the spine using standard and radiomic analysis
BACKGROUND: If focal changes in the bones are detected, the radiologist must exclude or confirm the presence of a metastatic lesion. Although the semiotics of metastatic and non-oncological changes according to magnetic resonance imaging (MRI) data is well known, in practice, there may be various combinations of their characteristics that are influenced by other chronic diseases and parallel processes, which significantly complicate interpretation. The use of computer image analysis methods has great prospects and can improve the diagnostic accuracy of standard imaging methods. OBJECTIVE: To improve the accuracy of diagnosing radiographic findings of focal changes in the spine using additional image evaluation by computer analysis algorithms. MATERIALS AND METHODS: Thirty patients were examined, and 15 of them had metastatic bone lesions from breast cancer, and 15 had focal changes in the spine of a non-oncological nature. Computer analysis of focal changes in the vertebral bodies was conducted according to T1WI, T2WI, and STIR MRI sequences. For the computer analysis, the operator of the complexity of the image Arzela and histogram distribution of brightness were used. RESULTS: The main differential indicators for hemangioma, conditionally normal areas of the bone marrow, and metastatic foci have been established. The Arzela data image complexity operator was approximately 0.07 for hemangioma, approximately 0.05 for metastases (mts), and approximately 0.04 for vertebrae. The brightness histogram operator was approximately 1.12 for haemangioma and approximately 0.94 for mts. Regarding the difference between indicators, the difference is 20%25%, between hemangioma and bone marrow and 35% between mts and bone marrow, which make it possible to effectively use these indicators together with other markers. CONCLUSION: The criteria for differential diagnosis obtained using radiomic analysis showed significant differences between focal changes in the vertebrae of various etiologies. From a mathematical point of view, they are advisory, and the doctor with experience remains at the center of the decision-making system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
0.30
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