2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS
Abstract Thyroid nodules are very common all over the world, and China is no exception. Ultrasound plays an important role in determining the risk stratification of thyroid nodules, which is critical for clinical management of thyroid nodules. For the past few years, many versions of TIRADS (Thyroid...
Ausführliche Beschreibung
Autor*in: |
Zhou, JianQiao [verfasserIn] Yin, LiXue [verfasserIn] Wei, Xi [verfasserIn] Zhang, Sheng [verfasserIn] Song, YanYan [verfasserIn] Luo, BaoMing [verfasserIn] Li, JianChu [verfasserIn] Qian, LinXue [verfasserIn] Cui, LiGang [verfasserIn] Chen, Wen [verfasserIn] Wen, ChaoYang [verfasserIn] Peng, YuLan [verfasserIn] Chen, Qin [verfasserIn] Lu, Man [verfasserIn] Chen, Min [verfasserIn] Wu, Rong [verfasserIn] Zhou, Wei [verfasserIn] Xue, EnSheng [verfasserIn] Li, YingJia [verfasserIn] Yang, LiChun [verfasserIn] Mi, ChengRong [verfasserIn] Zhang, RuiFang [verfasserIn] Wu, Gang [verfasserIn] Du, GuoQing [verfasserIn] Huang, DaoZhong [verfasserIn] Zhan, WeiWei [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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Übergeordnetes Werk: |
Enthalten in: Endocrine - [S.l.] : Springer, 1995, 70(2020), 2 vom: 21. Aug., Seite 256-279 |
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Übergeordnetes Werk: |
volume:70 ; year:2020 ; number:2 ; day:21 ; month:08 ; pages:256-279 |
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DOI / URN: |
10.1007/s12020-020-02441-y |
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Katalog-ID: |
SPR04153512X |
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520 | |a Abstract Thyroid nodules are very common all over the world, and China is no exception. Ultrasound plays an important role in determining the risk stratification of thyroid nodules, which is critical for clinical management of thyroid nodules. For the past few years, many versions of TIRADS (Thyroid Imaging Reporting and Data System) have been put forward by several institutions with the aim to identify whether nodules require fine-needle biopsy or ultrasound follow-up. However, no version of TIRADS has been widely adopted worldwide till date. In China, as many as ten versions of TIRADS have been used in different hospitals nationwide, causing a lot of confusion. With the support of the Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of the Chinese Medical Association, the Chinese-TIRADS that is in line with China’s national conditions and medical status was established based on literature review, expert consensus, and multicenter data provided by the Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound. | ||
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10.1007/s12020-020-02441-y doi (DE-627)SPR04153512X (SPR)s12020-020-02441-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.89 bkl Zhou, JianQiao verfasserin aut 2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Thyroid nodules are very common all over the world, and China is no exception. Ultrasound plays an important role in determining the risk stratification of thyroid nodules, which is critical for clinical management of thyroid nodules. For the past few years, many versions of TIRADS (Thyroid Imaging Reporting and Data System) have been put forward by several institutions with the aim to identify whether nodules require fine-needle biopsy or ultrasound follow-up. However, no version of TIRADS has been widely adopted worldwide till date. In China, as many as ten versions of TIRADS have been used in different hospitals nationwide, causing a lot of confusion. With the support of the Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of the Chinese Medical Association, the Chinese-TIRADS that is in line with China’s national conditions and medical status was established based on literature review, expert consensus, and multicenter data provided by the Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound. Thyroid nodule (dpeaa)DE-He213 Diagnostic imaging (dpeaa)DE-He213 Ultrasonography (dpeaa)DE-He213 Risk assessment (dpeaa)DE-He213 Biopsy (dpeaa)DE-He213 Fine needle (dpeaa)DE-He213 Yin, LiXue verfasserin aut Wei, Xi verfasserin aut Zhang, Sheng verfasserin aut Song, YanYan verfasserin aut Luo, BaoMing verfasserin aut Li, JianChu verfasserin aut Qian, LinXue verfasserin aut Cui, LiGang verfasserin aut Chen, Wen verfasserin aut Wen, ChaoYang verfasserin aut Peng, YuLan verfasserin aut Chen, Qin verfasserin aut Lu, Man verfasserin aut Chen, Min verfasserin aut Wu, Rong verfasserin aut Zhou, Wei verfasserin aut Xue, EnSheng verfasserin aut Li, YingJia verfasserin aut Yang, LiChun verfasserin aut Mi, ChengRong verfasserin aut Zhang, RuiFang verfasserin aut Wu, Gang verfasserin aut Du, GuoQing verfasserin aut Huang, DaoZhong verfasserin aut Zhan, WeiWei verfasserin aut Enthalten in Endocrine [S.l.] : Springer, 1995 70(2020), 2 vom: 21. Aug., Seite 256-279 (DE-627)343970171 (DE-600)2074043-8 1559-0100 nnns volume:70 year:2020 number:2 day:21 month:08 pages:256-279 https://dx.doi.org/10.1007/s12020-020-02441-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.89 ASE AR 70 2020 2 21 08 256-279 |
spelling |
10.1007/s12020-020-02441-y doi (DE-627)SPR04153512X (SPR)s12020-020-02441-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.89 bkl Zhou, JianQiao verfasserin aut 2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Thyroid nodules are very common all over the world, and China is no exception. Ultrasound plays an important role in determining the risk stratification of thyroid nodules, which is critical for clinical management of thyroid nodules. For the past few years, many versions of TIRADS (Thyroid Imaging Reporting and Data System) have been put forward by several institutions with the aim to identify whether nodules require fine-needle biopsy or ultrasound follow-up. However, no version of TIRADS has been widely adopted worldwide till date. In China, as many as ten versions of TIRADS have been used in different hospitals nationwide, causing a lot of confusion. With the support of the Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of the Chinese Medical Association, the Chinese-TIRADS that is in line with China’s national conditions and medical status was established based on literature review, expert consensus, and multicenter data provided by the Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound. Thyroid nodule (dpeaa)DE-He213 Diagnostic imaging (dpeaa)DE-He213 Ultrasonography (dpeaa)DE-He213 Risk assessment (dpeaa)DE-He213 Biopsy (dpeaa)DE-He213 Fine needle (dpeaa)DE-He213 Yin, LiXue verfasserin aut Wei, Xi verfasserin aut Zhang, Sheng verfasserin aut Song, YanYan verfasserin aut Luo, BaoMing verfasserin aut Li, JianChu verfasserin aut Qian, LinXue verfasserin aut Cui, LiGang verfasserin aut Chen, Wen verfasserin aut Wen, ChaoYang verfasserin aut Peng, YuLan verfasserin aut Chen, Qin verfasserin aut Lu, Man verfasserin aut Chen, Min verfasserin aut Wu, Rong verfasserin aut Zhou, Wei verfasserin aut Xue, EnSheng verfasserin aut Li, YingJia verfasserin aut Yang, LiChun verfasserin aut Mi, ChengRong verfasserin aut Zhang, RuiFang verfasserin aut Wu, Gang verfasserin aut Du, GuoQing verfasserin aut Huang, DaoZhong verfasserin aut Zhan, WeiWei verfasserin aut Enthalten in Endocrine [S.l.] : Springer, 1995 70(2020), 2 vom: 21. Aug., Seite 256-279 (DE-627)343970171 (DE-600)2074043-8 1559-0100 nnns volume:70 year:2020 number:2 day:21 month:08 pages:256-279 https://dx.doi.org/10.1007/s12020-020-02441-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.89 ASE AR 70 2020 2 21 08 256-279 |
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10.1007/s12020-020-02441-y doi (DE-627)SPR04153512X (SPR)s12020-020-02441-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.89 bkl Zhou, JianQiao verfasserin aut 2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Thyroid nodules are very common all over the world, and China is no exception. Ultrasound plays an important role in determining the risk stratification of thyroid nodules, which is critical for clinical management of thyroid nodules. For the past few years, many versions of TIRADS (Thyroid Imaging Reporting and Data System) have been put forward by several institutions with the aim to identify whether nodules require fine-needle biopsy or ultrasound follow-up. However, no version of TIRADS has been widely adopted worldwide till date. In China, as many as ten versions of TIRADS have been used in different hospitals nationwide, causing a lot of confusion. With the support of the Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of the Chinese Medical Association, the Chinese-TIRADS that is in line with China’s national conditions and medical status was established based on literature review, expert consensus, and multicenter data provided by the Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound. Thyroid nodule (dpeaa)DE-He213 Diagnostic imaging (dpeaa)DE-He213 Ultrasonography (dpeaa)DE-He213 Risk assessment (dpeaa)DE-He213 Biopsy (dpeaa)DE-He213 Fine needle (dpeaa)DE-He213 Yin, LiXue verfasserin aut Wei, Xi verfasserin aut Zhang, Sheng verfasserin aut Song, YanYan verfasserin aut Luo, BaoMing verfasserin aut Li, JianChu verfasserin aut Qian, LinXue verfasserin aut Cui, LiGang verfasserin aut Chen, Wen verfasserin aut Wen, ChaoYang verfasserin aut Peng, YuLan verfasserin aut Chen, Qin verfasserin aut Lu, Man verfasserin aut Chen, Min verfasserin aut Wu, Rong verfasserin aut Zhou, Wei verfasserin aut Xue, EnSheng verfasserin aut Li, YingJia verfasserin aut Yang, LiChun verfasserin aut Mi, ChengRong verfasserin aut Zhang, RuiFang verfasserin aut Wu, Gang verfasserin aut Du, GuoQing verfasserin aut Huang, DaoZhong verfasserin aut Zhan, WeiWei verfasserin aut Enthalten in Endocrine [S.l.] : Springer, 1995 70(2020), 2 vom: 21. Aug., Seite 256-279 (DE-627)343970171 (DE-600)2074043-8 1559-0100 nnns volume:70 year:2020 number:2 day:21 month:08 pages:256-279 https://dx.doi.org/10.1007/s12020-020-02441-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.89 ASE AR 70 2020 2 21 08 256-279 |
allfieldsGer |
10.1007/s12020-020-02441-y doi (DE-627)SPR04153512X (SPR)s12020-020-02441-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.89 bkl Zhou, JianQiao verfasserin aut 2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Thyroid nodules are very common all over the world, and China is no exception. Ultrasound plays an important role in determining the risk stratification of thyroid nodules, which is critical for clinical management of thyroid nodules. For the past few years, many versions of TIRADS (Thyroid Imaging Reporting and Data System) have been put forward by several institutions with the aim to identify whether nodules require fine-needle biopsy or ultrasound follow-up. However, no version of TIRADS has been widely adopted worldwide till date. In China, as many as ten versions of TIRADS have been used in different hospitals nationwide, causing a lot of confusion. With the support of the Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of the Chinese Medical Association, the Chinese-TIRADS that is in line with China’s national conditions and medical status was established based on literature review, expert consensus, and multicenter data provided by the Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound. Thyroid nodule (dpeaa)DE-He213 Diagnostic imaging (dpeaa)DE-He213 Ultrasonography (dpeaa)DE-He213 Risk assessment (dpeaa)DE-He213 Biopsy (dpeaa)DE-He213 Fine needle (dpeaa)DE-He213 Yin, LiXue verfasserin aut Wei, Xi verfasserin aut Zhang, Sheng verfasserin aut Song, YanYan verfasserin aut Luo, BaoMing verfasserin aut Li, JianChu verfasserin aut Qian, LinXue verfasserin aut Cui, LiGang verfasserin aut Chen, Wen verfasserin aut Wen, ChaoYang verfasserin aut Peng, YuLan verfasserin aut Chen, Qin verfasserin aut Lu, Man verfasserin aut Chen, Min verfasserin aut Wu, Rong verfasserin aut Zhou, Wei verfasserin aut Xue, EnSheng verfasserin aut Li, YingJia verfasserin aut Yang, LiChun verfasserin aut Mi, ChengRong verfasserin aut Zhang, RuiFang verfasserin aut Wu, Gang verfasserin aut Du, GuoQing verfasserin aut Huang, DaoZhong verfasserin aut Zhan, WeiWei verfasserin aut Enthalten in Endocrine [S.l.] : Springer, 1995 70(2020), 2 vom: 21. Aug., Seite 256-279 (DE-627)343970171 (DE-600)2074043-8 1559-0100 nnns volume:70 year:2020 number:2 day:21 month:08 pages:256-279 https://dx.doi.org/10.1007/s12020-020-02441-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.89 ASE AR 70 2020 2 21 08 256-279 |
allfieldsSound |
10.1007/s12020-020-02441-y doi (DE-627)SPR04153512X (SPR)s12020-020-02441-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.89 bkl Zhou, JianQiao verfasserin aut 2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Thyroid nodules are very common all over the world, and China is no exception. Ultrasound plays an important role in determining the risk stratification of thyroid nodules, which is critical for clinical management of thyroid nodules. For the past few years, many versions of TIRADS (Thyroid Imaging Reporting and Data System) have been put forward by several institutions with the aim to identify whether nodules require fine-needle biopsy or ultrasound follow-up. However, no version of TIRADS has been widely adopted worldwide till date. In China, as many as ten versions of TIRADS have been used in different hospitals nationwide, causing a lot of confusion. With the support of the Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of the Chinese Medical Association, the Chinese-TIRADS that is in line with China’s national conditions and medical status was established based on literature review, expert consensus, and multicenter data provided by the Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound. Thyroid nodule (dpeaa)DE-He213 Diagnostic imaging (dpeaa)DE-He213 Ultrasonography (dpeaa)DE-He213 Risk assessment (dpeaa)DE-He213 Biopsy (dpeaa)DE-He213 Fine needle (dpeaa)DE-He213 Yin, LiXue verfasserin aut Wei, Xi verfasserin aut Zhang, Sheng verfasserin aut Song, YanYan verfasserin aut Luo, BaoMing verfasserin aut Li, JianChu verfasserin aut Qian, LinXue verfasserin aut Cui, LiGang verfasserin aut Chen, Wen verfasserin aut Wen, ChaoYang verfasserin aut Peng, YuLan verfasserin aut Chen, Qin verfasserin aut Lu, Man verfasserin aut Chen, Min verfasserin aut Wu, Rong verfasserin aut Zhou, Wei verfasserin aut Xue, EnSheng verfasserin aut Li, YingJia verfasserin aut Yang, LiChun verfasserin aut Mi, ChengRong verfasserin aut Zhang, RuiFang verfasserin aut Wu, Gang verfasserin aut Du, GuoQing verfasserin aut Huang, DaoZhong verfasserin aut Zhan, WeiWei verfasserin aut Enthalten in Endocrine [S.l.] : Springer, 1995 70(2020), 2 vom: 21. Aug., Seite 256-279 (DE-627)343970171 (DE-600)2074043-8 1559-0100 nnns volume:70 year:2020 number:2 day:21 month:08 pages:256-279 https://dx.doi.org/10.1007/s12020-020-02441-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.89 ASE AR 70 2020 2 21 08 256-279 |
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Enthalten in Endocrine 70(2020), 2 vom: 21. Aug., Seite 256-279 volume:70 year:2020 number:2 day:21 month:08 pages:256-279 |
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Enthalten in Endocrine 70(2020), 2 vom: 21. Aug., Seite 256-279 volume:70 year:2020 number:2 day:21 month:08 pages:256-279 |
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Thyroid nodule Diagnostic imaging Ultrasonography Risk assessment Biopsy Fine needle |
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Endocrine |
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Zhou, JianQiao @@aut@@ Yin, LiXue @@aut@@ Wei, Xi @@aut@@ Zhang, Sheng @@aut@@ Song, YanYan @@aut@@ Luo, BaoMing @@aut@@ Li, JianChu @@aut@@ Qian, LinXue @@aut@@ Cui, LiGang @@aut@@ Chen, Wen @@aut@@ Wen, ChaoYang @@aut@@ Peng, YuLan @@aut@@ Chen, Qin @@aut@@ Lu, Man @@aut@@ Chen, Min @@aut@@ Wu, Rong @@aut@@ Zhou, Wei @@aut@@ Xue, EnSheng @@aut@@ Li, YingJia @@aut@@ Yang, LiChun @@aut@@ Mi, ChengRong @@aut@@ Zhang, RuiFang @@aut@@ Wu, Gang @@aut@@ Du, GuoQing @@aut@@ Huang, DaoZhong @@aut@@ Zhan, WeiWei @@aut@@ |
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2020-08-21T00:00:00Z |
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author |
Zhou, JianQiao |
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Zhou, JianQiao Yin, LiXue Wei, Xi Zhang, Sheng Song, YanYan Luo, BaoMing Li, JianChu Qian, LinXue Cui, LiGang Chen, Wen Wen, ChaoYang Peng, YuLan Chen, Qin Lu, Man Chen, Min Wu, Rong Zhou, Wei Xue, EnSheng Li, YingJia Yang, LiChun Mi, ChengRong Zhang, RuiFang Wu, Gang Du, GuoQing Huang, DaoZhong Zhan, WeiWei |
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2020 chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the c-tirads |
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2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS |
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Abstract Thyroid nodules are very common all over the world, and China is no exception. Ultrasound plays an important role in determining the risk stratification of thyroid nodules, which is critical for clinical management of thyroid nodules. For the past few years, many versions of TIRADS (Thyroid Imaging Reporting and Data System) have been put forward by several institutions with the aim to identify whether nodules require fine-needle biopsy or ultrasound follow-up. However, no version of TIRADS has been widely adopted worldwide till date. In China, as many as ten versions of TIRADS have been used in different hospitals nationwide, causing a lot of confusion. With the support of the Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of the Chinese Medical Association, the Chinese-TIRADS that is in line with China’s national conditions and medical status was established based on literature review, expert consensus, and multicenter data provided by the Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound. |
abstractGer |
Abstract Thyroid nodules are very common all over the world, and China is no exception. Ultrasound plays an important role in determining the risk stratification of thyroid nodules, which is critical for clinical management of thyroid nodules. For the past few years, many versions of TIRADS (Thyroid Imaging Reporting and Data System) have been put forward by several institutions with the aim to identify whether nodules require fine-needle biopsy or ultrasound follow-up. However, no version of TIRADS has been widely adopted worldwide till date. In China, as many as ten versions of TIRADS have been used in different hospitals nationwide, causing a lot of confusion. With the support of the Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of the Chinese Medical Association, the Chinese-TIRADS that is in line with China’s national conditions and medical status was established based on literature review, expert consensus, and multicenter data provided by the Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound. |
abstract_unstemmed |
Abstract Thyroid nodules are very common all over the world, and China is no exception. Ultrasound plays an important role in determining the risk stratification of thyroid nodules, which is critical for clinical management of thyroid nodules. For the past few years, many versions of TIRADS (Thyroid Imaging Reporting and Data System) have been put forward by several institutions with the aim to identify whether nodules require fine-needle biopsy or ultrasound follow-up. However, no version of TIRADS has been widely adopted worldwide till date. In China, as many as ten versions of TIRADS have been used in different hospitals nationwide, causing a lot of confusion. With the support of the Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of the Chinese Medical Association, the Chinese-TIRADS that is in line with China’s national conditions and medical status was established based on literature review, expert consensus, and multicenter data provided by the Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound. |
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2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS |
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Yin, LiXue Wei, Xi Zhang, Sheng Song, YanYan Luo, BaoMing Li, JianChu Qian, LinXue Cui, LiGang Chen, Wen Wen, ChaoYang Peng, YuLan Chen, Qin Lu, Man Chen, Min Wu, Rong Zhou, Wei Xue, EnSheng Li, YingJia Yang, LiChun Mi, ChengRong Zhang, RuiFang Wu, Gang Du, GuoQing Huang, DaoZhong Zhan, WeiWei |
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score |
7.402793 |