Development and validation of a model to determine the risk of esophageal strictures after endoscopic submucosal dissection for esophageal neoplasms
Background Currently, endoscopic submucosal dissection (ESD) is widely used as therapeutic methods for superficial esophageal neoplasms (SENs). However, patients are likely to develop esophageal strictures after ESD. Our study aims to explore the possible risk factors for esophageal strictures after...
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| Autor*in: |
Xia, Si-yuan [verfasserIn] |
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E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Surgical endoscopy and other interventional techniques - New York, NY : Springer, 1987, 37(2022), 3 vom: 03. Nov., Seite 2163-2172 |
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| Übergeordnetes Werk: |
volume:37 ; year:2022 ; number:3 ; day:03 ; month:11 ; pages:2163-2172 |
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| DOI / URN: |
10.1007/s00464-022-09729-2 |
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SPR049686313 |
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| 520 | |a Background Currently, endoscopic submucosal dissection (ESD) is widely used as therapeutic methods for superficial esophageal neoplasms (SENs). However, patients are likely to develop esophageal strictures after ESD. Our study aims to explore the possible risk factors for esophageal strictures after ESD and develop and validate a risk model for predicting the progression of postoperative esophageal strictures. Methods Clinical data of patients who underwent ESD in our hospital for suspected early esophageal squamous cell carcinoma were collected from January 2014 to March 2020. The possible risk factors for postoperative esophageal strictures were analyzed by univariate and multivariate logistic regression analysis. Eventually, a risk-scoring model was built, in which 70% of patients were used to develop the model and the remaining 30% were used for validation. Results A total of 553 patients who received ESD were involved, and the incidence of esophageal strictures after ESD was 16.6% (92/553). In our study, the operating time, circumferential range, lesion location, depth of infiltration, and R0 resection were independent risk factors for esophageal strictures after ESD. According to the risk of postoperative esophageal stenosis, a risk-scoring model for esophageal strictures prediction was developed. The risk score ranged from 0 to 11 points, and the risk scores were divided into low risk (0–3 points), intermediate risk (4–7 points), and high risk (8–11 points). The proportions of esophageal stenosis progression in the corresponding risk categories were 6.33%, 29.14%, and 100%. Conclusions We developed a risk-scoring model based on factors including circumferential range, lesion location, depth of infiltration, and R0 resection. It stratified patients into low-, intermediate-, and high-risk groups for postoperative esophageal strictures development. This scoring model may have the potential to guide the management of patients after ESD in the future. | ||
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10.1007/s00464-022-09729-2 doi (DE-627)SPR049686313 (SPR)s00464-022-09729-2-e DE-627 ger DE-627 rakwb eng Xia, Si-yuan verfasserin aut Development and validation of a model to determine the risk of esophageal strictures after endoscopic submucosal dissection for esophageal neoplasms 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background Currently, endoscopic submucosal dissection (ESD) is widely used as therapeutic methods for superficial esophageal neoplasms (SENs). However, patients are likely to develop esophageal strictures after ESD. Our study aims to explore the possible risk factors for esophageal strictures after ESD and develop and validate a risk model for predicting the progression of postoperative esophageal strictures. Methods Clinical data of patients who underwent ESD in our hospital for suspected early esophageal squamous cell carcinoma were collected from January 2014 to March 2020. The possible risk factors for postoperative esophageal strictures were analyzed by univariate and multivariate logistic regression analysis. Eventually, a risk-scoring model was built, in which 70% of patients were used to develop the model and the remaining 30% were used for validation. Results A total of 553 patients who received ESD were involved, and the incidence of esophageal strictures after ESD was 16.6% (92/553). In our study, the operating time, circumferential range, lesion location, depth of infiltration, and R0 resection were independent risk factors for esophageal strictures after ESD. According to the risk of postoperative esophageal stenosis, a risk-scoring model for esophageal strictures prediction was developed. The risk score ranged from 0 to 11 points, and the risk scores were divided into low risk (0–3 points), intermediate risk (4–7 points), and high risk (8–11 points). The proportions of esophageal stenosis progression in the corresponding risk categories were 6.33%, 29.14%, and 100%. Conclusions We developed a risk-scoring model based on factors including circumferential range, lesion location, depth of infiltration, and R0 resection. It stratified patients into low-, intermediate-, and high-risk groups for postoperative esophageal strictures development. This scoring model may have the potential to guide the management of patients after ESD in the future. Endoscopic submucosal dissection (dpeaa)DE-He213 Esophageal neoplasm (dpeaa)DE-He213 Esophageal strictures (dpeaa)DE-He213 Risk factors (dpeaa)DE-He213 Lu, Qing aut Wang, Zi-jing aut Gan, Tao aut Yang, Jin-lin (orcid)0000-0001-8726-7258 aut Wang, Zhu aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 37(2022), 3 vom: 03. Nov., Seite 2163-2172 (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:37 year:2022 number:3 day:03 month:11 pages:2163-2172 https://dx.doi.org/10.1007/s00464-022-09729-2 lizenzpflichtig 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_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 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_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_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 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_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 AR 37 2022 3 03 11 2163-2172 |
| spelling |
10.1007/s00464-022-09729-2 doi (DE-627)SPR049686313 (SPR)s00464-022-09729-2-e DE-627 ger DE-627 rakwb eng Xia, Si-yuan verfasserin aut Development and validation of a model to determine the risk of esophageal strictures after endoscopic submucosal dissection for esophageal neoplasms 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background Currently, endoscopic submucosal dissection (ESD) is widely used as therapeutic methods for superficial esophageal neoplasms (SENs). However, patients are likely to develop esophageal strictures after ESD. Our study aims to explore the possible risk factors for esophageal strictures after ESD and develop and validate a risk model for predicting the progression of postoperative esophageal strictures. Methods Clinical data of patients who underwent ESD in our hospital for suspected early esophageal squamous cell carcinoma were collected from January 2014 to March 2020. The possible risk factors for postoperative esophageal strictures were analyzed by univariate and multivariate logistic regression analysis. Eventually, a risk-scoring model was built, in which 70% of patients were used to develop the model and the remaining 30% were used for validation. Results A total of 553 patients who received ESD were involved, and the incidence of esophageal strictures after ESD was 16.6% (92/553). In our study, the operating time, circumferential range, lesion location, depth of infiltration, and R0 resection were independent risk factors for esophageal strictures after ESD. According to the risk of postoperative esophageal stenosis, a risk-scoring model for esophageal strictures prediction was developed. The risk score ranged from 0 to 11 points, and the risk scores were divided into low risk (0–3 points), intermediate risk (4–7 points), and high risk (8–11 points). The proportions of esophageal stenosis progression in the corresponding risk categories were 6.33%, 29.14%, and 100%. Conclusions We developed a risk-scoring model based on factors including circumferential range, lesion location, depth of infiltration, and R0 resection. It stratified patients into low-, intermediate-, and high-risk groups for postoperative esophageal strictures development. This scoring model may have the potential to guide the management of patients after ESD in the future. Endoscopic submucosal dissection (dpeaa)DE-He213 Esophageal neoplasm (dpeaa)DE-He213 Esophageal strictures (dpeaa)DE-He213 Risk factors (dpeaa)DE-He213 Lu, Qing aut Wang, Zi-jing aut Gan, Tao aut Yang, Jin-lin (orcid)0000-0001-8726-7258 aut Wang, Zhu aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 37(2022), 3 vom: 03. Nov., Seite 2163-2172 (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:37 year:2022 number:3 day:03 month:11 pages:2163-2172 https://dx.doi.org/10.1007/s00464-022-09729-2 lizenzpflichtig 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_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 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_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_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 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_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 AR 37 2022 3 03 11 2163-2172 |
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10.1007/s00464-022-09729-2 doi (DE-627)SPR049686313 (SPR)s00464-022-09729-2-e DE-627 ger DE-627 rakwb eng Xia, Si-yuan verfasserin aut Development and validation of a model to determine the risk of esophageal strictures after endoscopic submucosal dissection for esophageal neoplasms 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background Currently, endoscopic submucosal dissection (ESD) is widely used as therapeutic methods for superficial esophageal neoplasms (SENs). However, patients are likely to develop esophageal strictures after ESD. Our study aims to explore the possible risk factors for esophageal strictures after ESD and develop and validate a risk model for predicting the progression of postoperative esophageal strictures. Methods Clinical data of patients who underwent ESD in our hospital for suspected early esophageal squamous cell carcinoma were collected from January 2014 to March 2020. The possible risk factors for postoperative esophageal strictures were analyzed by univariate and multivariate logistic regression analysis. Eventually, a risk-scoring model was built, in which 70% of patients were used to develop the model and the remaining 30% were used for validation. Results A total of 553 patients who received ESD were involved, and the incidence of esophageal strictures after ESD was 16.6% (92/553). In our study, the operating time, circumferential range, lesion location, depth of infiltration, and R0 resection were independent risk factors for esophageal strictures after ESD. According to the risk of postoperative esophageal stenosis, a risk-scoring model for esophageal strictures prediction was developed. The risk score ranged from 0 to 11 points, and the risk scores were divided into low risk (0–3 points), intermediate risk (4–7 points), and high risk (8–11 points). The proportions of esophageal stenosis progression in the corresponding risk categories were 6.33%, 29.14%, and 100%. Conclusions We developed a risk-scoring model based on factors including circumferential range, lesion location, depth of infiltration, and R0 resection. It stratified patients into low-, intermediate-, and high-risk groups for postoperative esophageal strictures development. This scoring model may have the potential to guide the management of patients after ESD in the future. Endoscopic submucosal dissection (dpeaa)DE-He213 Esophageal neoplasm (dpeaa)DE-He213 Esophageal strictures (dpeaa)DE-He213 Risk factors (dpeaa)DE-He213 Lu, Qing aut Wang, Zi-jing aut Gan, Tao aut Yang, Jin-lin (orcid)0000-0001-8726-7258 aut Wang, Zhu aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 37(2022), 3 vom: 03. Nov., Seite 2163-2172 (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:37 year:2022 number:3 day:03 month:11 pages:2163-2172 https://dx.doi.org/10.1007/s00464-022-09729-2 lizenzpflichtig 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_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 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_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_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 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_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 AR 37 2022 3 03 11 2163-2172 |
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10.1007/s00464-022-09729-2 doi (DE-627)SPR049686313 (SPR)s00464-022-09729-2-e DE-627 ger DE-627 rakwb eng Xia, Si-yuan verfasserin aut Development and validation of a model to determine the risk of esophageal strictures after endoscopic submucosal dissection for esophageal neoplasms 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background Currently, endoscopic submucosal dissection (ESD) is widely used as therapeutic methods for superficial esophageal neoplasms (SENs). However, patients are likely to develop esophageal strictures after ESD. Our study aims to explore the possible risk factors for esophageal strictures after ESD and develop and validate a risk model for predicting the progression of postoperative esophageal strictures. Methods Clinical data of patients who underwent ESD in our hospital for suspected early esophageal squamous cell carcinoma were collected from January 2014 to March 2020. The possible risk factors for postoperative esophageal strictures were analyzed by univariate and multivariate logistic regression analysis. Eventually, a risk-scoring model was built, in which 70% of patients were used to develop the model and the remaining 30% were used for validation. Results A total of 553 patients who received ESD were involved, and the incidence of esophageal strictures after ESD was 16.6% (92/553). In our study, the operating time, circumferential range, lesion location, depth of infiltration, and R0 resection were independent risk factors for esophageal strictures after ESD. According to the risk of postoperative esophageal stenosis, a risk-scoring model for esophageal strictures prediction was developed. The risk score ranged from 0 to 11 points, and the risk scores were divided into low risk (0–3 points), intermediate risk (4–7 points), and high risk (8–11 points). The proportions of esophageal stenosis progression in the corresponding risk categories were 6.33%, 29.14%, and 100%. Conclusions We developed a risk-scoring model based on factors including circumferential range, lesion location, depth of infiltration, and R0 resection. It stratified patients into low-, intermediate-, and high-risk groups for postoperative esophageal strictures development. This scoring model may have the potential to guide the management of patients after ESD in the future. Endoscopic submucosal dissection (dpeaa)DE-He213 Esophageal neoplasm (dpeaa)DE-He213 Esophageal strictures (dpeaa)DE-He213 Risk factors (dpeaa)DE-He213 Lu, Qing aut Wang, Zi-jing aut Gan, Tao aut Yang, Jin-lin (orcid)0000-0001-8726-7258 aut Wang, Zhu aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 37(2022), 3 vom: 03. Nov., Seite 2163-2172 (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:37 year:2022 number:3 day:03 month:11 pages:2163-2172 https://dx.doi.org/10.1007/s00464-022-09729-2 lizenzpflichtig 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_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 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_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_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 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_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 AR 37 2022 3 03 11 2163-2172 |
| allfieldsSound |
10.1007/s00464-022-09729-2 doi (DE-627)SPR049686313 (SPR)s00464-022-09729-2-e DE-627 ger DE-627 rakwb eng Xia, Si-yuan verfasserin aut Development and validation of a model to determine the risk of esophageal strictures after endoscopic submucosal dissection for esophageal neoplasms 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Background Currently, endoscopic submucosal dissection (ESD) is widely used as therapeutic methods for superficial esophageal neoplasms (SENs). However, patients are likely to develop esophageal strictures after ESD. Our study aims to explore the possible risk factors for esophageal strictures after ESD and develop and validate a risk model for predicting the progression of postoperative esophageal strictures. Methods Clinical data of patients who underwent ESD in our hospital for suspected early esophageal squamous cell carcinoma were collected from January 2014 to March 2020. The possible risk factors for postoperative esophageal strictures were analyzed by univariate and multivariate logistic regression analysis. Eventually, a risk-scoring model was built, in which 70% of patients were used to develop the model and the remaining 30% were used for validation. Results A total of 553 patients who received ESD were involved, and the incidence of esophageal strictures after ESD was 16.6% (92/553). In our study, the operating time, circumferential range, lesion location, depth of infiltration, and R0 resection were independent risk factors for esophageal strictures after ESD. According to the risk of postoperative esophageal stenosis, a risk-scoring model for esophageal strictures prediction was developed. The risk score ranged from 0 to 11 points, and the risk scores were divided into low risk (0–3 points), intermediate risk (4–7 points), and high risk (8–11 points). The proportions of esophageal stenosis progression in the corresponding risk categories were 6.33%, 29.14%, and 100%. Conclusions We developed a risk-scoring model based on factors including circumferential range, lesion location, depth of infiltration, and R0 resection. It stratified patients into low-, intermediate-, and high-risk groups for postoperative esophageal strictures development. This scoring model may have the potential to guide the management of patients after ESD in the future. Endoscopic submucosal dissection (dpeaa)DE-He213 Esophageal neoplasm (dpeaa)DE-He213 Esophageal strictures (dpeaa)DE-He213 Risk factors (dpeaa)DE-He213 Lu, Qing aut Wang, Zi-jing aut Gan, Tao aut Yang, Jin-lin (orcid)0000-0001-8726-7258 aut Wang, Zhu aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 37(2022), 3 vom: 03. Nov., Seite 2163-2172 (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:37 year:2022 number:3 day:03 month:11 pages:2163-2172 https://dx.doi.org/10.1007/s00464-022-09729-2 lizenzpflichtig 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_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 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_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_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 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_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 AR 37 2022 3 03 11 2163-2172 |
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Xia, Si-yuan |
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Development and validation of a model to determine the risk of esophageal strictures after endoscopic submucosal dissection for esophageal neoplasms Endoscopic submucosal dissection (dpeaa)DE-He213 Esophageal neoplasm (dpeaa)DE-He213 Esophageal strictures (dpeaa)DE-He213 Risk factors (dpeaa)DE-He213 |
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development and validation of a model to determine the risk of esophageal strictures after endoscopic submucosal dissection for esophageal neoplasms |
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Development and validation of a model to determine the risk of esophageal strictures after endoscopic submucosal dissection for esophageal neoplasms |
| abstract |
Background Currently, endoscopic submucosal dissection (ESD) is widely used as therapeutic methods for superficial esophageal neoplasms (SENs). However, patients are likely to develop esophageal strictures after ESD. Our study aims to explore the possible risk factors for esophageal strictures after ESD and develop and validate a risk model for predicting the progression of postoperative esophageal strictures. Methods Clinical data of patients who underwent ESD in our hospital for suspected early esophageal squamous cell carcinoma were collected from January 2014 to March 2020. The possible risk factors for postoperative esophageal strictures were analyzed by univariate and multivariate logistic regression analysis. Eventually, a risk-scoring model was built, in which 70% of patients were used to develop the model and the remaining 30% were used for validation. Results A total of 553 patients who received ESD were involved, and the incidence of esophageal strictures after ESD was 16.6% (92/553). In our study, the operating time, circumferential range, lesion location, depth of infiltration, and R0 resection were independent risk factors for esophageal strictures after ESD. According to the risk of postoperative esophageal stenosis, a risk-scoring model for esophageal strictures prediction was developed. The risk score ranged from 0 to 11 points, and the risk scores were divided into low risk (0–3 points), intermediate risk (4–7 points), and high risk (8–11 points). The proportions of esophageal stenosis progression in the corresponding risk categories were 6.33%, 29.14%, and 100%. Conclusions We developed a risk-scoring model based on factors including circumferential range, lesion location, depth of infiltration, and R0 resection. It stratified patients into low-, intermediate-, and high-risk groups for postoperative esophageal strictures development. This scoring model may have the potential to guide the management of patients after ESD in the future. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Background Currently, endoscopic submucosal dissection (ESD) is widely used as therapeutic methods for superficial esophageal neoplasms (SENs). However, patients are likely to develop esophageal strictures after ESD. Our study aims to explore the possible risk factors for esophageal strictures after ESD and develop and validate a risk model for predicting the progression of postoperative esophageal strictures. Methods Clinical data of patients who underwent ESD in our hospital for suspected early esophageal squamous cell carcinoma were collected from January 2014 to March 2020. The possible risk factors for postoperative esophageal strictures were analyzed by univariate and multivariate logistic regression analysis. Eventually, a risk-scoring model was built, in which 70% of patients were used to develop the model and the remaining 30% were used for validation. Results A total of 553 patients who received ESD were involved, and the incidence of esophageal strictures after ESD was 16.6% (92/553). In our study, the operating time, circumferential range, lesion location, depth of infiltration, and R0 resection were independent risk factors for esophageal strictures after ESD. According to the risk of postoperative esophageal stenosis, a risk-scoring model for esophageal strictures prediction was developed. The risk score ranged from 0 to 11 points, and the risk scores were divided into low risk (0–3 points), intermediate risk (4–7 points), and high risk (8–11 points). The proportions of esophageal stenosis progression in the corresponding risk categories were 6.33%, 29.14%, and 100%. Conclusions We developed a risk-scoring model based on factors including circumferential range, lesion location, depth of infiltration, and R0 resection. It stratified patients into low-, intermediate-, and high-risk groups for postoperative esophageal strictures development. This scoring model may have the potential to guide the management of patients after ESD in the future. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Background Currently, endoscopic submucosal dissection (ESD) is widely used as therapeutic methods for superficial esophageal neoplasms (SENs). However, patients are likely to develop esophageal strictures after ESD. Our study aims to explore the possible risk factors for esophageal strictures after ESD and develop and validate a risk model for predicting the progression of postoperative esophageal strictures. Methods Clinical data of patients who underwent ESD in our hospital for suspected early esophageal squamous cell carcinoma were collected from January 2014 to March 2020. The possible risk factors for postoperative esophageal strictures were analyzed by univariate and multivariate logistic regression analysis. Eventually, a risk-scoring model was built, in which 70% of patients were used to develop the model and the remaining 30% were used for validation. Results A total of 553 patients who received ESD were involved, and the incidence of esophageal strictures after ESD was 16.6% (92/553). In our study, the operating time, circumferential range, lesion location, depth of infiltration, and R0 resection were independent risk factors for esophageal strictures after ESD. According to the risk of postoperative esophageal stenosis, a risk-scoring model for esophageal strictures prediction was developed. The risk score ranged from 0 to 11 points, and the risk scores were divided into low risk (0–3 points), intermediate risk (4–7 points), and high risk (8–11 points). The proportions of esophageal stenosis progression in the corresponding risk categories were 6.33%, 29.14%, and 100%. Conclusions We developed a risk-scoring model based on factors including circumferential range, lesion location, depth of infiltration, and R0 resection. It stratified patients into low-, intermediate-, and high-risk groups for postoperative esophageal strictures development. This scoring model may have the potential to guide the management of patients after ESD in the future. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Development and validation of a model to determine the risk of esophageal strictures after endoscopic submucosal dissection for esophageal neoplasms |
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Lu, Qing Wang, Zi-jing Gan, Tao Yang, Jin-lin Wang, Zhu |
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Lu, Qing Wang, Zi-jing Gan, Tao Yang, Jin-lin Wang, Zhu |
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|
| score |
7.400058 |