Investigation of the relationship of CO-RADS and CT patterns with laboratory parameters in COVID-19 patients and a new perspective on the total CT scoring system

Background It is important to determine the correlation of the CO-RADS classification and computed tomography (CT) patterns of the lung with laboratory data. To investigate the relationship of CO-RADS categories and CT patterns with laboratory data in patients with a positive RT-PCR test. We also de...
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Autor*in:	Aydin, Nevin [verfasserIn] Yildiz, Pinar Cansu, Döndü Üsküdar Gündogdu, Elif Mutluay, Rüya Yorulmaz, Göknur Tekin, Melisa Sahin Kocaturk, Evin Alatas, İ. Özkan Kartal, Elif Doyuk Erben, Nurettin Durmaz, Gül Kasifoglu, Nilgun Us, Tercan Sahin, Garip Bal, Cengiz Yilmaz, Senay Korkmaz, Cengiz

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	CT CO-RADS CT pattern COVID-19 HRCT Total CT score

Anmerkung:	© The Author(s) 2022

Übergeordnetes Werk:	Enthalten in: BMC medical imaging - London : BioMed Central, 2001, 22(2022), 1 vom: 20. Juli
Übergeordnetes Werk:	volume:22 ; year:2022 ; number:1 ; day:20 ; month:07

Links:	Volltext

DOI / URN:	10.1186/s12880-022-00857-8

Katalog-ID:	SPR050869213

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520			\|a Background It is important to determine the correlation of the CO-RADS classification and computed tomography (CT) patterns of the lung with laboratory data. To investigate the relationship of CO-RADS categories and CT patterns with laboratory data in patients with a positive RT-PCR test. We also developed a structured total CT scoring system and investigated its correlation with the total CT scoring system. Method The CT examinations of the patients were evaluated in terms of the CO-RADS classification, pattern groups and total CT score. Structured total CT score values were obtained by including the total CT score values and pattern values in a regression analysis. The CT data were compared according to the laboratory data. Results A total of 198 patients were evaluated. There were significant differences between the CO-RADS groups in terms of age, ICU transfer, oxygen saturation, creatinine, LDH, D-dimer, high-sensitivity cardiac troponin-T (hs-TnT), CRP, structured total CT score values, and total CT score values. A significant difference was also observed between the CT pattern groups and oxygen saturation, creatinine and CRP values. When the structured total CT score values and total CT score values were compared they were observed to be correlated. Conclusions Creatinine can be considered as an important marker for the CO-RADS and pattern classifications in lung involvement. LDH can be considered as an important marker of parenchymal involvement, especially bilateral and diffuse involvement. The structured total CT scoring system is a new system that can be used as an alternative.
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allfields	10.1186/s12880-022-00857-8 doi (DE-627)SPR050869213 (SPR)s12880-022-00857-8-e DE-627 ger DE-627 rakwb eng Aydin, Nevin verfasserin (orcid)0000-0002-7765-4323 aut Investigation of the relationship of CO-RADS and CT patterns with laboratory parameters in COVID-19 patients and a new perspective on the total CT scoring system 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background It is important to determine the correlation of the CO-RADS classification and computed tomography (CT) patterns of the lung with laboratory data. To investigate the relationship of CO-RADS categories and CT patterns with laboratory data in patients with a positive RT-PCR test. We also developed a structured total CT scoring system and investigated its correlation with the total CT scoring system. Method The CT examinations of the patients were evaluated in terms of the CO-RADS classification, pattern groups and total CT score. Structured total CT score values were obtained by including the total CT score values and pattern values in a regression analysis. The CT data were compared according to the laboratory data. Results A total of 198 patients were evaluated. There were significant differences between the CO-RADS groups in terms of age, ICU transfer, oxygen saturation, creatinine, LDH, D-dimer, high-sensitivity cardiac troponin-T (hs-TnT), CRP, structured total CT score values, and total CT score values. A significant difference was also observed between the CT pattern groups and oxygen saturation, creatinine and CRP values. When the structured total CT score values and total CT score values were compared they were observed to be correlated. Conclusions Creatinine can be considered as an important marker for the CO-RADS and pattern classifications in lung involvement. LDH can be considered as an important marker of parenchymal involvement, especially bilateral and diffuse involvement. The structured total CT scoring system is a new system that can be used as an alternative. CT (dpeaa)DE-He213 CO-RADS (dpeaa)DE-He213 CT pattern (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 HRCT (dpeaa)DE-He213 Total CT score (dpeaa)DE-He213 Yildiz, Pinar (orcid)0000-0002-3625-9829 aut Cansu, Döndü Üsküdar (orcid)0000-0001-6543-3905 aut Gündogdu, Elif (orcid)0000-0002-1729-6958 aut Mutluay, Rüya (orcid)0000-0002-7159-0082 aut Yorulmaz, Göknur (orcid)0000-0001-8596-9344 aut Tekin, Melisa Sahin (orcid)0000-0002-4077-7258 aut Kocaturk, Evin (orcid)0000-0001-7434-4234 aut Alatas, İ. Özkan (orcid)0000-0002-1753-8873 aut Kartal, Elif Doyuk (orcid)0000-0002-6984-3351 aut Erben, Nurettin (orcid)0000-0003-0373-0132 aut Durmaz, Gül (orcid)0000-0002-2002-8380 aut Kasifoglu, Nilgun (orcid)0000-0002-1470-2308 aut Us, Tercan (orcid)0000-0002-9772-6777 aut Sahin, Garip (orcid)0000-0003-0567-0866 aut Bal, Cengiz (orcid)0000-0002-1553-2902 aut Yilmaz, Senay (orcid)0000-0003-2684-7616 aut Korkmaz, Cengiz (orcid)0000-0003-2679-0699 aut Enthalten in BMC medical imaging London : BioMed Central, 2001 22(2022), 1 vom: 20. Juli (DE-627)33679911X (DE-600)2061975-3 1471-2342 nnns volume:22 year:2022 number:1 day:20 month:07 https://dx.doi.org/10.1186/s12880-022-00857-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 20 07
spelling	10.1186/s12880-022-00857-8 doi (DE-627)SPR050869213 (SPR)s12880-022-00857-8-e DE-627 ger DE-627 rakwb eng Aydin, Nevin verfasserin (orcid)0000-0002-7765-4323 aut Investigation of the relationship of CO-RADS and CT patterns with laboratory parameters in COVID-19 patients and a new perspective on the total CT scoring system 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background It is important to determine the correlation of the CO-RADS classification and computed tomography (CT) patterns of the lung with laboratory data. To investigate the relationship of CO-RADS categories and CT patterns with laboratory data in patients with a positive RT-PCR test. We also developed a structured total CT scoring system and investigated its correlation with the total CT scoring system. Method The CT examinations of the patients were evaluated in terms of the CO-RADS classification, pattern groups and total CT score. Structured total CT score values were obtained by including the total CT score values and pattern values in a regression analysis. The CT data were compared according to the laboratory data. Results A total of 198 patients were evaluated. There were significant differences between the CO-RADS groups in terms of age, ICU transfer, oxygen saturation, creatinine, LDH, D-dimer, high-sensitivity cardiac troponin-T (hs-TnT), CRP, structured total CT score values, and total CT score values. A significant difference was also observed between the CT pattern groups and oxygen saturation, creatinine and CRP values. When the structured total CT score values and total CT score values were compared they were observed to be correlated. Conclusions Creatinine can be considered as an important marker for the CO-RADS and pattern classifications in lung involvement. LDH can be considered as an important marker of parenchymal involvement, especially bilateral and diffuse involvement. The structured total CT scoring system is a new system that can be used as an alternative. CT (dpeaa)DE-He213 CO-RADS (dpeaa)DE-He213 CT pattern (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 HRCT (dpeaa)DE-He213 Total CT score (dpeaa)DE-He213 Yildiz, Pinar (orcid)0000-0002-3625-9829 aut Cansu, Döndü Üsküdar (orcid)0000-0001-6543-3905 aut Gündogdu, Elif (orcid)0000-0002-1729-6958 aut Mutluay, Rüya (orcid)0000-0002-7159-0082 aut Yorulmaz, Göknur (orcid)0000-0001-8596-9344 aut Tekin, Melisa Sahin (orcid)0000-0002-4077-7258 aut Kocaturk, Evin (orcid)0000-0001-7434-4234 aut Alatas, İ. Özkan (orcid)0000-0002-1753-8873 aut Kartal, Elif Doyuk (orcid)0000-0002-6984-3351 aut Erben, Nurettin (orcid)0000-0003-0373-0132 aut Durmaz, Gül (orcid)0000-0002-2002-8380 aut Kasifoglu, Nilgun (orcid)0000-0002-1470-2308 aut Us, Tercan (orcid)0000-0002-9772-6777 aut Sahin, Garip (orcid)0000-0003-0567-0866 aut Bal, Cengiz (orcid)0000-0002-1553-2902 aut Yilmaz, Senay (orcid)0000-0003-2684-7616 aut Korkmaz, Cengiz (orcid)0000-0003-2679-0699 aut Enthalten in BMC medical imaging London : BioMed Central, 2001 22(2022), 1 vom: 20. Juli (DE-627)33679911X (DE-600)2061975-3 1471-2342 nnns volume:22 year:2022 number:1 day:20 month:07 https://dx.doi.org/10.1186/s12880-022-00857-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 20 07
allfields_unstemmed	10.1186/s12880-022-00857-8 doi (DE-627)SPR050869213 (SPR)s12880-022-00857-8-e DE-627 ger DE-627 rakwb eng Aydin, Nevin verfasserin (orcid)0000-0002-7765-4323 aut Investigation of the relationship of CO-RADS and CT patterns with laboratory parameters in COVID-19 patients and a new perspective on the total CT scoring system 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background It is important to determine the correlation of the CO-RADS classification and computed tomography (CT) patterns of the lung with laboratory data. To investigate the relationship of CO-RADS categories and CT patterns with laboratory data in patients with a positive RT-PCR test. We also developed a structured total CT scoring system and investigated its correlation with the total CT scoring system. Method The CT examinations of the patients were evaluated in terms of the CO-RADS classification, pattern groups and total CT score. Structured total CT score values were obtained by including the total CT score values and pattern values in a regression analysis. The CT data were compared according to the laboratory data. Results A total of 198 patients were evaluated. There were significant differences between the CO-RADS groups in terms of age, ICU transfer, oxygen saturation, creatinine, LDH, D-dimer, high-sensitivity cardiac troponin-T (hs-TnT), CRP, structured total CT score values, and total CT score values. A significant difference was also observed between the CT pattern groups and oxygen saturation, creatinine and CRP values. When the structured total CT score values and total CT score values were compared they were observed to be correlated. Conclusions Creatinine can be considered as an important marker for the CO-RADS and pattern classifications in lung involvement. LDH can be considered as an important marker of parenchymal involvement, especially bilateral and diffuse involvement. The structured total CT scoring system is a new system that can be used as an alternative. CT (dpeaa)DE-He213 CO-RADS (dpeaa)DE-He213 CT pattern (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 HRCT (dpeaa)DE-He213 Total CT score (dpeaa)DE-He213 Yildiz, Pinar (orcid)0000-0002-3625-9829 aut Cansu, Döndü Üsküdar (orcid)0000-0001-6543-3905 aut Gündogdu, Elif (orcid)0000-0002-1729-6958 aut Mutluay, Rüya (orcid)0000-0002-7159-0082 aut Yorulmaz, Göknur (orcid)0000-0001-8596-9344 aut Tekin, Melisa Sahin (orcid)0000-0002-4077-7258 aut Kocaturk, Evin (orcid)0000-0001-7434-4234 aut Alatas, İ. Özkan (orcid)0000-0002-1753-8873 aut Kartal, Elif Doyuk (orcid)0000-0002-6984-3351 aut Erben, Nurettin (orcid)0000-0003-0373-0132 aut Durmaz, Gül (orcid)0000-0002-2002-8380 aut Kasifoglu, Nilgun (orcid)0000-0002-1470-2308 aut Us, Tercan (orcid)0000-0002-9772-6777 aut Sahin, Garip (orcid)0000-0003-0567-0866 aut Bal, Cengiz (orcid)0000-0002-1553-2902 aut Yilmaz, Senay (orcid)0000-0003-2684-7616 aut Korkmaz, Cengiz (orcid)0000-0003-2679-0699 aut Enthalten in BMC medical imaging London : BioMed Central, 2001 22(2022), 1 vom: 20. Juli (DE-627)33679911X (DE-600)2061975-3 1471-2342 nnns volume:22 year:2022 number:1 day:20 month:07 https://dx.doi.org/10.1186/s12880-022-00857-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 20 07
allfieldsGer	10.1186/s12880-022-00857-8 doi (DE-627)SPR050869213 (SPR)s12880-022-00857-8-e DE-627 ger DE-627 rakwb eng Aydin, Nevin verfasserin (orcid)0000-0002-7765-4323 aut Investigation of the relationship of CO-RADS and CT patterns with laboratory parameters in COVID-19 patients and a new perspective on the total CT scoring system 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background It is important to determine the correlation of the CO-RADS classification and computed tomography (CT) patterns of the lung with laboratory data. To investigate the relationship of CO-RADS categories and CT patterns with laboratory data in patients with a positive RT-PCR test. We also developed a structured total CT scoring system and investigated its correlation with the total CT scoring system. Method The CT examinations of the patients were evaluated in terms of the CO-RADS classification, pattern groups and total CT score. Structured total CT score values were obtained by including the total CT score values and pattern values in a regression analysis. The CT data were compared according to the laboratory data. Results A total of 198 patients were evaluated. There were significant differences between the CO-RADS groups in terms of age, ICU transfer, oxygen saturation, creatinine, LDH, D-dimer, high-sensitivity cardiac troponin-T (hs-TnT), CRP, structured total CT score values, and total CT score values. A significant difference was also observed between the CT pattern groups and oxygen saturation, creatinine and CRP values. When the structured total CT score values and total CT score values were compared they were observed to be correlated. Conclusions Creatinine can be considered as an important marker for the CO-RADS and pattern classifications in lung involvement. LDH can be considered as an important marker of parenchymal involvement, especially bilateral and diffuse involvement. The structured total CT scoring system is a new system that can be used as an alternative. CT (dpeaa)DE-He213 CO-RADS (dpeaa)DE-He213 CT pattern (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 HRCT (dpeaa)DE-He213 Total CT score (dpeaa)DE-He213 Yildiz, Pinar (orcid)0000-0002-3625-9829 aut Cansu, Döndü Üsküdar (orcid)0000-0001-6543-3905 aut Gündogdu, Elif (orcid)0000-0002-1729-6958 aut Mutluay, Rüya (orcid)0000-0002-7159-0082 aut Yorulmaz, Göknur (orcid)0000-0001-8596-9344 aut Tekin, Melisa Sahin (orcid)0000-0002-4077-7258 aut Kocaturk, Evin (orcid)0000-0001-7434-4234 aut Alatas, İ. Özkan (orcid)0000-0002-1753-8873 aut Kartal, Elif Doyuk (orcid)0000-0002-6984-3351 aut Erben, Nurettin (orcid)0000-0003-0373-0132 aut Durmaz, Gül (orcid)0000-0002-2002-8380 aut Kasifoglu, Nilgun (orcid)0000-0002-1470-2308 aut Us, Tercan (orcid)0000-0002-9772-6777 aut Sahin, Garip (orcid)0000-0003-0567-0866 aut Bal, Cengiz (orcid)0000-0002-1553-2902 aut Yilmaz, Senay (orcid)0000-0003-2684-7616 aut Korkmaz, Cengiz (orcid)0000-0003-2679-0699 aut Enthalten in BMC medical imaging London : BioMed Central, 2001 22(2022), 1 vom: 20. Juli (DE-627)33679911X (DE-600)2061975-3 1471-2342 nnns volume:22 year:2022 number:1 day:20 month:07 https://dx.doi.org/10.1186/s12880-022-00857-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 20 07
allfieldsSound	10.1186/s12880-022-00857-8 doi (DE-627)SPR050869213 (SPR)s12880-022-00857-8-e DE-627 ger DE-627 rakwb eng Aydin, Nevin verfasserin (orcid)0000-0002-7765-4323 aut Investigation of the relationship of CO-RADS and CT patterns with laboratory parameters in COVID-19 patients and a new perspective on the total CT scoring system 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background It is important to determine the correlation of the CO-RADS classification and computed tomography (CT) patterns of the lung with laboratory data. To investigate the relationship of CO-RADS categories and CT patterns with laboratory data in patients with a positive RT-PCR test. We also developed a structured total CT scoring system and investigated its correlation with the total CT scoring system. Method The CT examinations of the patients were evaluated in terms of the CO-RADS classification, pattern groups and total CT score. Structured total CT score values were obtained by including the total CT score values and pattern values in a regression analysis. The CT data were compared according to the laboratory data. Results A total of 198 patients were evaluated. There were significant differences between the CO-RADS groups in terms of age, ICU transfer, oxygen saturation, creatinine, LDH, D-dimer, high-sensitivity cardiac troponin-T (hs-TnT), CRP, structured total CT score values, and total CT score values. A significant difference was also observed between the CT pattern groups and oxygen saturation, creatinine and CRP values. When the structured total CT score values and total CT score values were compared they were observed to be correlated. Conclusions Creatinine can be considered as an important marker for the CO-RADS and pattern classifications in lung involvement. LDH can be considered as an important marker of parenchymal involvement, especially bilateral and diffuse involvement. The structured total CT scoring system is a new system that can be used as an alternative. CT (dpeaa)DE-He213 CO-RADS (dpeaa)DE-He213 CT pattern (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 HRCT (dpeaa)DE-He213 Total CT score (dpeaa)DE-He213 Yildiz, Pinar (orcid)0000-0002-3625-9829 aut Cansu, Döndü Üsküdar (orcid)0000-0001-6543-3905 aut Gündogdu, Elif (orcid)0000-0002-1729-6958 aut Mutluay, Rüya (orcid)0000-0002-7159-0082 aut Yorulmaz, Göknur (orcid)0000-0001-8596-9344 aut Tekin, Melisa Sahin (orcid)0000-0002-4077-7258 aut Kocaturk, Evin (orcid)0000-0001-7434-4234 aut Alatas, İ. Özkan (orcid)0000-0002-1753-8873 aut Kartal, Elif Doyuk (orcid)0000-0002-6984-3351 aut Erben, Nurettin (orcid)0000-0003-0373-0132 aut Durmaz, Gül (orcid)0000-0002-2002-8380 aut Kasifoglu, Nilgun (orcid)0000-0002-1470-2308 aut Us, Tercan (orcid)0000-0002-9772-6777 aut Sahin, Garip (orcid)0000-0003-0567-0866 aut Bal, Cengiz (orcid)0000-0002-1553-2902 aut Yilmaz, Senay (orcid)0000-0003-2684-7616 aut Korkmaz, Cengiz (orcid)0000-0003-2679-0699 aut Enthalten in BMC medical imaging London : BioMed Central, 2001 22(2022), 1 vom: 20. Juli (DE-627)33679911X (DE-600)2061975-3 1471-2342 nnns volume:22 year:2022 number:1 day:20 month:07 https://dx.doi.org/10.1186/s12880-022-00857-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 20 07
language	English
source	Enthalten in BMC medical imaging 22(2022), 1 vom: 20. Juli volume:22 year:2022 number:1 day:20 month:07
sourceStr	Enthalten in BMC medical imaging 22(2022), 1 vom: 20. Juli volume:22 year:2022 number:1 day:20 month:07
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	CT CO-RADS CT pattern COVID-19 HRCT Total CT score
isfreeaccess_bool	true
container_title	BMC medical imaging
authorswithroles_txt_mv	Aydin, Nevin @@aut@@ Yildiz, Pinar @@aut@@ Cansu, Döndü Üsküdar @@aut@@ Gündogdu, Elif @@aut@@ Mutluay, Rüya @@aut@@ Yorulmaz, Göknur @@aut@@ Tekin, Melisa Sahin @@aut@@ Kocaturk, Evin @@aut@@ Alatas, İ. Özkan @@aut@@ Kartal, Elif Doyuk @@aut@@ Erben, Nurettin @@aut@@ Durmaz, Gül @@aut@@ Kasifoglu, Nilgun @@aut@@ Us, Tercan @@aut@@ Sahin, Garip @@aut@@ Bal, Cengiz @@aut@@ Yilmaz, Senay @@aut@@ Korkmaz, Cengiz @@aut@@
publishDateDaySort_date	2022-07-20T00:00:00Z
hierarchy_top_id	33679911X
id	SPR050869213
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR050869213</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230509103900.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230507s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/s12880-022-00857-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR050869213</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s12880-022-00857-8-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Aydin, Nevin</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-7765-4323</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Investigation of the relationship of CO-RADS and CT patterns with laboratory parameters in COVID-19 patients and a new perspective on the total CT scoring system</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2022</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background It is important to determine the correlation of the CO-RADS classification and computed tomography (CT) patterns of the lung with laboratory data. To investigate the relationship of CO-RADS categories and CT patterns with laboratory data in patients with a positive RT-PCR test. We also developed a structured total CT scoring system and investigated its correlation with the total CT scoring system. Method The CT examinations of the patients were evaluated in terms of the CO-RADS classification, pattern groups and total CT score. Structured total CT score values were obtained by including the total CT score values and pattern values in a regression analysis. The CT data were compared according to the laboratory data. Results A total of 198 patients were evaluated. There were significant differences between the CO-RADS groups in terms of age, ICU transfer, oxygen saturation, creatinine, LDH, D-dimer, high-sensitivity cardiac troponin-T (hs-TnT), CRP, structured total CT score values, and total CT score values. A significant difference was also observed between the CT pattern groups and oxygen saturation, creatinine and CRP values. When the structured total CT score values and total CT score values were compared they were observed to be correlated. Conclusions Creatinine can be considered as an important marker for the CO-RADS and pattern classifications in lung involvement. LDH can be considered as an important marker of parenchymal involvement, especially bilateral and diffuse involvement. 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author	Aydin, Nevin
spellingShingle	Aydin, Nevin misc CT misc CO-RADS misc CT pattern misc COVID-19 misc HRCT misc Total CT score Investigation of the relationship of CO-RADS and CT patterns with laboratory parameters in COVID-19 patients and a new perspective on the total CT scoring system
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topic_title	Investigation of the relationship of CO-RADS and CT patterns with laboratory parameters in COVID-19 patients and a new perspective on the total CT scoring system CT (dpeaa)DE-He213 CO-RADS (dpeaa)DE-He213 CT pattern (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 HRCT (dpeaa)DE-He213 Total CT score (dpeaa)DE-He213
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title	Investigation of the relationship of CO-RADS and CT patterns with laboratory parameters in COVID-19 patients and a new perspective on the total CT scoring system
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title_full	Investigation of the relationship of CO-RADS and CT patterns with laboratory parameters in COVID-19 patients and a new perspective on the total CT scoring system
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author_browse	Aydin, Nevin Yildiz, Pinar Cansu, Döndü Üsküdar Gündogdu, Elif Mutluay, Rüya Yorulmaz, Göknur Tekin, Melisa Sahin Kocaturk, Evin Alatas, İ. Özkan Kartal, Elif Doyuk Erben, Nurettin Durmaz, Gül Kasifoglu, Nilgun Us, Tercan Sahin, Garip Bal, Cengiz Yilmaz, Senay Korkmaz, Cengiz
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title_sort	investigation of the relationship of co-rads and ct patterns with laboratory parameters in covid-19 patients and a new perspective on the total ct scoring system
title_auth	Investigation of the relationship of CO-RADS and CT patterns with laboratory parameters in COVID-19 patients and a new perspective on the total CT scoring system
abstract	Background It is important to determine the correlation of the CO-RADS classification and computed tomography (CT) patterns of the lung with laboratory data. To investigate the relationship of CO-RADS categories and CT patterns with laboratory data in patients with a positive RT-PCR test. We also developed a structured total CT scoring system and investigated its correlation with the total CT scoring system. Method The CT examinations of the patients were evaluated in terms of the CO-RADS classification, pattern groups and total CT score. Structured total CT score values were obtained by including the total CT score values and pattern values in a regression analysis. The CT data were compared according to the laboratory data. Results A total of 198 patients were evaluated. There were significant differences between the CO-RADS groups in terms of age, ICU transfer, oxygen saturation, creatinine, LDH, D-dimer, high-sensitivity cardiac troponin-T (hs-TnT), CRP, structured total CT score values, and total CT score values. A significant difference was also observed between the CT pattern groups and oxygen saturation, creatinine and CRP values. When the structured total CT score values and total CT score values were compared they were observed to be correlated. Conclusions Creatinine can be considered as an important marker for the CO-RADS and pattern classifications in lung involvement. LDH can be considered as an important marker of parenchymal involvement, especially bilateral and diffuse involvement. The structured total CT scoring system is a new system that can be used as an alternative. © The Author(s) 2022
abstractGer	Background It is important to determine the correlation of the CO-RADS classification and computed tomography (CT) patterns of the lung with laboratory data. To investigate the relationship of CO-RADS categories and CT patterns with laboratory data in patients with a positive RT-PCR test. We also developed a structured total CT scoring system and investigated its correlation with the total CT scoring system. Method The CT examinations of the patients were evaluated in terms of the CO-RADS classification, pattern groups and total CT score. Structured total CT score values were obtained by including the total CT score values and pattern values in a regression analysis. The CT data were compared according to the laboratory data. Results A total of 198 patients were evaluated. There were significant differences between the CO-RADS groups in terms of age, ICU transfer, oxygen saturation, creatinine, LDH, D-dimer, high-sensitivity cardiac troponin-T (hs-TnT), CRP, structured total CT score values, and total CT score values. A significant difference was also observed between the CT pattern groups and oxygen saturation, creatinine and CRP values. When the structured total CT score values and total CT score values were compared they were observed to be correlated. Conclusions Creatinine can be considered as an important marker for the CO-RADS and pattern classifications in lung involvement. LDH can be considered as an important marker of parenchymal involvement, especially bilateral and diffuse involvement. The structured total CT scoring system is a new system that can be used as an alternative. © The Author(s) 2022
abstract_unstemmed	Background It is important to determine the correlation of the CO-RADS classification and computed tomography (CT) patterns of the lung with laboratory data. To investigate the relationship of CO-RADS categories and CT patterns with laboratory data in patients with a positive RT-PCR test. We also developed a structured total CT scoring system and investigated its correlation with the total CT scoring system. Method The CT examinations of the patients were evaluated in terms of the CO-RADS classification, pattern groups and total CT score. Structured total CT score values were obtained by including the total CT score values and pattern values in a regression analysis. The CT data were compared according to the laboratory data. Results A total of 198 patients were evaluated. There were significant differences between the CO-RADS groups in terms of age, ICU transfer, oxygen saturation, creatinine, LDH, D-dimer, high-sensitivity cardiac troponin-T (hs-TnT), CRP, structured total CT score values, and total CT score values. A significant difference was also observed between the CT pattern groups and oxygen saturation, creatinine and CRP values. When the structured total CT score values and total CT score values were compared they were observed to be correlated. Conclusions Creatinine can be considered as an important marker for the CO-RADS and pattern classifications in lung involvement. LDH can be considered as an important marker of parenchymal involvement, especially bilateral and diffuse involvement. The structured total CT scoring system is a new system that can be used as an alternative. © The Author(s) 2022
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title_short	Investigation of the relationship of CO-RADS and CT patterns with laboratory parameters in COVID-19 patients and a new perspective on the total CT scoring system
url	https://dx.doi.org/10.1186/s12880-022-00857-8
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author2	Yildiz, Pinar Cansu, Döndü Üsküdar Gündogdu, Elif Mutluay, Rüya Yorulmaz, Göknur Tekin, Melisa Sahin Kocaturk, Evin Alatas, İ. Özkan Kartal, Elif Doyuk Erben, Nurettin Durmaz, Gül Kasifoglu, Nilgun Us, Tercan Sahin, Garip Bal, Cengiz Yilmaz, Senay Korkmaz, Cengiz
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To investigate the relationship of CO-RADS categories and CT patterns with laboratory data in patients with a positive RT-PCR test. We also developed a structured total CT scoring system and investigated its correlation with the total CT scoring system. Method The CT examinations of the patients were evaluated in terms of the CO-RADS classification, pattern groups and total CT score. Structured total CT score values were obtained by including the total CT score values and pattern values in a regression analysis. The CT data were compared according to the laboratory data. Results A total of 198 patients were evaluated. There were significant differences between the CO-RADS groups in terms of age, ICU transfer, oxygen saturation, creatinine, LDH, D-dimer, high-sensitivity cardiac troponin-T (hs-TnT), CRP, structured total CT score values, and total CT score values. A significant difference was also observed between the CT pattern groups and oxygen saturation, creatinine and CRP values. 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Investigation of the relationship of CO-RADS and CT patterns with laboratory parameters in COVID-19 patients and a new perspective on the total CT scoring system

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