超声因其安全、无创、低价、方便等优点,成为甲状腺结节检测的首选方法,目前国内外有数个版本甲状腺影像报告和数据系统(Thyroid Imaging Reporting and Data System,TI-RADS)用于甲状腺结节恶性风险的分层管理。不同版本TI-RADS对同一...超声因其安全、无创、低价、方便等优点,成为甲状腺结节检测的首选方法,目前国内外有数个版本甲状腺影像报告和数据系统(Thyroid Imaging Reporting and Data System,TI-RADS)用于甲状腺结节恶性风险的分层管理。不同版本TI-RADS对同一甲状腺结节的分类及其是否需要进行细针穿刺活检(fine-needle aspiration biospy,FNAB)的建议存在差异。本文对各TI-RADS版本在甲状腺结节风险分层管理方面的应用、优势与局限性,以及其最新的研究进展进行了述评。展开更多
目的探讨卵巢附件肿块影像报告和数据管理系统(ovarian adnexal mass image report and data management system,O-RADS)联合超微血流成像(superb microvascular imaging,SMI)技术在附件区肿瘤良恶性诊断中的应用。方法选取2022年9月—2...目的探讨卵巢附件肿块影像报告和数据管理系统(ovarian adnexal mass image report and data management system,O-RADS)联合超微血流成像(superb microvascular imaging,SMI)技术在附件区肿瘤良恶性诊断中的应用。方法选取2022年9月—2023年9月广州中医药大学顺德医院附属均安医院收治的60例附件区肿块患者为研究对象,对所有患者分别实施O-RADS、SMI检测,以病理结果为金标准,比较O-RADS、SMI及联合检测对附件区肿瘤的诊断效能。结果联合检测准确度为95.00%(57/60)、灵敏度为90.48%(19/21)、特异度为97.44%(38/39),高于O-RADS检查的68.33%(41/60)、47.62%(10/21)、79.49%(31/39)以及SMI检查的81.67%(49/60)、71.43%(15/21)、87.18%(34/39),差异有统计学意义(χ^(2)=13.958、9.359、6.004,P均<0.05)。结论与单独的诊断方式相比较,联合诊断附件区肿瘤良恶性的效能较高,能为临床诊疗附件区肿瘤提供可靠的依据,利于临床开展后续诊疗工作。展开更多
In this paper,we describe the data management practices and services developed for making FAIR compliant a scientific archive of Scanning Tunneling Microscopy(STM)images.As a first step,we extracted the instrument met...In this paper,we describe the data management practices and services developed for making FAIR compliant a scientific archive of Scanning Tunneling Microscopy(STM)images.As a first step,we extracted the instrument metadata of each image of the dataset to create a structured database.We then enriched these metadata with information on the structure and composition of the surface by means of a pipeline that leverages human annotation,machine learning techniques,and instrument metadata filtering.To visually explore both images and metadata,as well as to improve the accessibility and usability of the dataset,we developed"STM explorer"as a web service integrated within the Trieste Advanced Data services(TriDAS)website.On top of these data services and tools,we propose an implementation of the W3C PROV standard to describe provenance metadata of STM images.展开更多
文摘超声因其安全、无创、低价、方便等优点,成为甲状腺结节检测的首选方法,目前国内外有数个版本甲状腺影像报告和数据系统(Thyroid Imaging Reporting and Data System,TI-RADS)用于甲状腺结节恶性风险的分层管理。不同版本TI-RADS对同一甲状腺结节的分类及其是否需要进行细针穿刺活检(fine-needle aspiration biospy,FNAB)的建议存在差异。本文对各TI-RADS版本在甲状腺结节风险分层管理方面的应用、优势与局限性,以及其最新的研究进展进行了述评。
文摘目的探讨卵巢附件肿块影像报告和数据管理系统(ovarian adnexal mass image report and data management system,O-RADS)联合超微血流成像(superb microvascular imaging,SMI)技术在附件区肿瘤良恶性诊断中的应用。方法选取2022年9月—2023年9月广州中医药大学顺德医院附属均安医院收治的60例附件区肿块患者为研究对象,对所有患者分别实施O-RADS、SMI检测,以病理结果为金标准,比较O-RADS、SMI及联合检测对附件区肿瘤的诊断效能。结果联合检测准确度为95.00%(57/60)、灵敏度为90.48%(19/21)、特异度为97.44%(38/39),高于O-RADS检查的68.33%(41/60)、47.62%(10/21)、79.49%(31/39)以及SMI检查的81.67%(49/60)、71.43%(15/21)、87.18%(34/39),差异有统计学意义(χ^(2)=13.958、9.359、6.004,P均<0.05)。结论与单独的诊断方式相比较,联合诊断附件区肿瘤良恶性的效能较高,能为临床诊疗附件区肿瘤提供可靠的依据,利于临床开展后续诊疗工作。
基金supported by funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No.857650EOSC-Pillar project and European Union's Horizon 2020 research and innovation programme under grant agreement No.101007417 within the framework of the NFFA-Europe Pilot Joint Activities。
文摘In this paper,we describe the data management practices and services developed for making FAIR compliant a scientific archive of Scanning Tunneling Microscopy(STM)images.As a first step,we extracted the instrument metadata of each image of the dataset to create a structured database.We then enriched these metadata with information on the structure and composition of the surface by means of a pipeline that leverages human annotation,machine learning techniques,and instrument metadata filtering.To visually explore both images and metadata,as well as to improve the accessibility and usability of the dataset,we developed"STM explorer"as a web service integrated within the Trieste Advanced Data services(TriDAS)website.On top of these data services and tools,we propose an implementation of the W3C PROV standard to describe provenance metadata of STM images.
