Establishment and validation of a nomogram for predicting potential lateral pelvic lymph node metastasis in low rectal cancer
Background Identifying lateral pelvic lymph node (LPN) metastasis in low rectal cancer is crucial before treatment. Several risk factors and prediction models for LPN metastasis have been reported. However, there is no useful tool to accurately predict LPN metastasis. Therefore, we aimed to construc...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sumii, Atsuhiko [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
Lateral pelvic lymph node dissection |
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| Anmerkung: |
© The Author(s) under exclusive licence to Japan Society of Clinical Oncology 2022 |
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| Übergeordnetes Werk: |
Enthalten in: International journal of clinical oncology - Tokyo : Springer, 1996, 27(2022), 7 vom: 12. Apr., Seite 1173-1179 |
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| Übergeordnetes Werk: |
volume:27 ; year:2022 ; number:7 ; day:12 ; month:04 ; pages:1173-1179 |
| Links: |
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| DOI / URN: |
10.1007/s10147-022-02157-1 |
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| Katalog-ID: |
SPR047343540 |
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| 100 | 1 | |a Sumii, Atsuhiko |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Establishment and validation of a nomogram for predicting potential lateral pelvic lymph node metastasis in low rectal cancer |
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| 520 | |a Background Identifying lateral pelvic lymph node (LPN) metastasis in low rectal cancer is crucial before treatment. Several risk factors and prediction models for LPN metastasis have been reported. However, there is no useful tool to accurately predict LPN metastasis. Therefore, we aimed to construct a nomogram for predicting LPN metastasis in rectal cancer. Methods We analyzed the risk factors for potential LPN metastasis by logistic regression analysis in 705 patients who underwent primary resection of low rectal cancer. We included patients at 49 institutes of the Japan Society of Laparoscopic Colorectal Surgery between June 2010 and February 2012. Clinicopathological factors and magnetic resonance imaging findings were evaluated. The nomogram performance was assessed using the c-index and calibration plots, and the nomogram was validated using an external cohort. Results In the univariable logistic regression analysis, age, sex, carcinoembryonic antigen, tumor location, clinical T stage, tumor size, circumferential resection margin (CRM), extramural vascular invasion (EMVI), and the short and long axes of LPN and perirectal lymph node (PRLN) were nominated as risk factors for potential LPN metastasis. We identified a combination of the short axis of LPN, tumor location, EMVI, and short axis of PRLN as optimal for predicting potential LPN metastasis and developed a nomogram using these factors. This model had a c-index of 0.74 and was moderately calibrated and well-validated. Conclusions This is the first study to construct a well-validated nomogram for predicting potential LPN metastasis in rectal cancer, and its performance was high. | ||
| 650 | 4 | |a Low rectal cancer |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Lateral pelvic lymph node dissection |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Lateral pelvic lymph node metastasis |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Nomogram |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Hida, Koya |0 (orcid)0000-0001-7210-7075 |4 aut | |
| 700 | 1 | |a Sakai, Yoshiharu |4 aut | |
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| 700 | 1 | |a Nishizaki, Daisuke |4 aut | |
| 700 | 1 | |a Akagi, Tomonori |4 aut | |
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| 700 | 1 | |a Takemasa, Ichiro |4 aut | |
| 700 | 1 | |a Tokunaga, Takuya |4 aut | |
| 700 | 1 | |a Watanabe, Jun |4 aut | |
| 700 | 1 | |a Watanabe, Masahiko |4 aut | |
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10.1007/s10147-022-02157-1 doi (DE-627)SPR047343540 (SPR)s10147-022-02157-1-e DE-627 ger DE-627 rakwb eng Sumii, Atsuhiko verfasserin aut Establishment and validation of a nomogram for predicting potential lateral pelvic lymph node metastasis in low rectal cancer 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Japan Society of Clinical Oncology 2022 Background Identifying lateral pelvic lymph node (LPN) metastasis in low rectal cancer is crucial before treatment. Several risk factors and prediction models for LPN metastasis have been reported. However, there is no useful tool to accurately predict LPN metastasis. Therefore, we aimed to construct a nomogram for predicting LPN metastasis in rectal cancer. Methods We analyzed the risk factors for potential LPN metastasis by logistic regression analysis in 705 patients who underwent primary resection of low rectal cancer. We included patients at 49 institutes of the Japan Society of Laparoscopic Colorectal Surgery between June 2010 and February 2012. Clinicopathological factors and magnetic resonance imaging findings were evaluated. The nomogram performance was assessed using the c-index and calibration plots, and the nomogram was validated using an external cohort. Results In the univariable logistic regression analysis, age, sex, carcinoembryonic antigen, tumor location, clinical T stage, tumor size, circumferential resection margin (CRM), extramural vascular invasion (EMVI), and the short and long axes of LPN and perirectal lymph node (PRLN) were nominated as risk factors for potential LPN metastasis. We identified a combination of the short axis of LPN, tumor location, EMVI, and short axis of PRLN as optimal for predicting potential LPN metastasis and developed a nomogram using these factors. This model had a c-index of 0.74 and was moderately calibrated and well-validated. Conclusions This is the first study to construct a well-validated nomogram for predicting potential LPN metastasis in rectal cancer, and its performance was high. Low rectal cancer (dpeaa)DE-He213 Lateral pelvic lymph node dissection (dpeaa)DE-He213 Lateral pelvic lymph node metastasis (dpeaa)DE-He213 Nomogram (dpeaa)DE-He213 Hida, Koya (orcid)0000-0001-7210-7075 aut Sakai, Yoshiharu aut Hoshino, Nobuaki aut Nishizaki, Daisuke aut Akagi, Tomonori aut Fukuda, Meiki aut Yamaguchi, Tomohiro aut Takemasa, Ichiro aut Tokunaga, Takuya aut Watanabe, Jun aut Watanabe, Masahiko aut Enthalten in International journal of clinical oncology Tokyo : Springer, 1996 27(2022), 7 vom: 12. Apr., Seite 1173-1179 (DE-627)300187033 (DE-600)1481773-1 1437-7772 nnns volume:27 year:2022 number:7 day:12 month:04 pages:1173-1179 https://dx.doi.org/10.1007/s10147-022-02157-1 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_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_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_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 AR 27 2022 7 12 04 1173-1179 |
| spelling |
10.1007/s10147-022-02157-1 doi (DE-627)SPR047343540 (SPR)s10147-022-02157-1-e DE-627 ger DE-627 rakwb eng Sumii, Atsuhiko verfasserin aut Establishment and validation of a nomogram for predicting potential lateral pelvic lymph node metastasis in low rectal cancer 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Japan Society of Clinical Oncology 2022 Background Identifying lateral pelvic lymph node (LPN) metastasis in low rectal cancer is crucial before treatment. Several risk factors and prediction models for LPN metastasis have been reported. However, there is no useful tool to accurately predict LPN metastasis. Therefore, we aimed to construct a nomogram for predicting LPN metastasis in rectal cancer. Methods We analyzed the risk factors for potential LPN metastasis by logistic regression analysis in 705 patients who underwent primary resection of low rectal cancer. We included patients at 49 institutes of the Japan Society of Laparoscopic Colorectal Surgery between June 2010 and February 2012. Clinicopathological factors and magnetic resonance imaging findings were evaluated. The nomogram performance was assessed using the c-index and calibration plots, and the nomogram was validated using an external cohort. Results In the univariable logistic regression analysis, age, sex, carcinoembryonic antigen, tumor location, clinical T stage, tumor size, circumferential resection margin (CRM), extramural vascular invasion (EMVI), and the short and long axes of LPN and perirectal lymph node (PRLN) were nominated as risk factors for potential LPN metastasis. We identified a combination of the short axis of LPN, tumor location, EMVI, and short axis of PRLN as optimal for predicting potential LPN metastasis and developed a nomogram using these factors. This model had a c-index of 0.74 and was moderately calibrated and well-validated. Conclusions This is the first study to construct a well-validated nomogram for predicting potential LPN metastasis in rectal cancer, and its performance was high. Low rectal cancer (dpeaa)DE-He213 Lateral pelvic lymph node dissection (dpeaa)DE-He213 Lateral pelvic lymph node metastasis (dpeaa)DE-He213 Nomogram (dpeaa)DE-He213 Hida, Koya (orcid)0000-0001-7210-7075 aut Sakai, Yoshiharu aut Hoshino, Nobuaki aut Nishizaki, Daisuke aut Akagi, Tomonori aut Fukuda, Meiki aut Yamaguchi, Tomohiro aut Takemasa, Ichiro aut Tokunaga, Takuya aut Watanabe, Jun aut Watanabe, Masahiko aut Enthalten in International journal of clinical oncology Tokyo : Springer, 1996 27(2022), 7 vom: 12. Apr., Seite 1173-1179 (DE-627)300187033 (DE-600)1481773-1 1437-7772 nnns volume:27 year:2022 number:7 day:12 month:04 pages:1173-1179 https://dx.doi.org/10.1007/s10147-022-02157-1 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_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_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_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 AR 27 2022 7 12 04 1173-1179 |
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10.1007/s10147-022-02157-1 doi (DE-627)SPR047343540 (SPR)s10147-022-02157-1-e DE-627 ger DE-627 rakwb eng Sumii, Atsuhiko verfasserin aut Establishment and validation of a nomogram for predicting potential lateral pelvic lymph node metastasis in low rectal cancer 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Japan Society of Clinical Oncology 2022 Background Identifying lateral pelvic lymph node (LPN) metastasis in low rectal cancer is crucial before treatment. Several risk factors and prediction models for LPN metastasis have been reported. However, there is no useful tool to accurately predict LPN metastasis. Therefore, we aimed to construct a nomogram for predicting LPN metastasis in rectal cancer. Methods We analyzed the risk factors for potential LPN metastasis by logistic regression analysis in 705 patients who underwent primary resection of low rectal cancer. We included patients at 49 institutes of the Japan Society of Laparoscopic Colorectal Surgery between June 2010 and February 2012. Clinicopathological factors and magnetic resonance imaging findings were evaluated. The nomogram performance was assessed using the c-index and calibration plots, and the nomogram was validated using an external cohort. Results In the univariable logistic regression analysis, age, sex, carcinoembryonic antigen, tumor location, clinical T stage, tumor size, circumferential resection margin (CRM), extramural vascular invasion (EMVI), and the short and long axes of LPN and perirectal lymph node (PRLN) were nominated as risk factors for potential LPN metastasis. We identified a combination of the short axis of LPN, tumor location, EMVI, and short axis of PRLN as optimal for predicting potential LPN metastasis and developed a nomogram using these factors. This model had a c-index of 0.74 and was moderately calibrated and well-validated. Conclusions This is the first study to construct a well-validated nomogram for predicting potential LPN metastasis in rectal cancer, and its performance was high. Low rectal cancer (dpeaa)DE-He213 Lateral pelvic lymph node dissection (dpeaa)DE-He213 Lateral pelvic lymph node metastasis (dpeaa)DE-He213 Nomogram (dpeaa)DE-He213 Hida, Koya (orcid)0000-0001-7210-7075 aut Sakai, Yoshiharu aut Hoshino, Nobuaki aut Nishizaki, Daisuke aut Akagi, Tomonori aut Fukuda, Meiki aut Yamaguchi, Tomohiro aut Takemasa, Ichiro aut Tokunaga, Takuya aut Watanabe, Jun aut Watanabe, Masahiko aut Enthalten in International journal of clinical oncology Tokyo : Springer, 1996 27(2022), 7 vom: 12. Apr., Seite 1173-1179 (DE-627)300187033 (DE-600)1481773-1 1437-7772 nnns volume:27 year:2022 number:7 day:12 month:04 pages:1173-1179 https://dx.doi.org/10.1007/s10147-022-02157-1 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_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_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_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 AR 27 2022 7 12 04 1173-1179 |
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10.1007/s10147-022-02157-1 doi (DE-627)SPR047343540 (SPR)s10147-022-02157-1-e DE-627 ger DE-627 rakwb eng Sumii, Atsuhiko verfasserin aut Establishment and validation of a nomogram for predicting potential lateral pelvic lymph node metastasis in low rectal cancer 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Japan Society of Clinical Oncology 2022 Background Identifying lateral pelvic lymph node (LPN) metastasis in low rectal cancer is crucial before treatment. Several risk factors and prediction models for LPN metastasis have been reported. However, there is no useful tool to accurately predict LPN metastasis. Therefore, we aimed to construct a nomogram for predicting LPN metastasis in rectal cancer. Methods We analyzed the risk factors for potential LPN metastasis by logistic regression analysis in 705 patients who underwent primary resection of low rectal cancer. We included patients at 49 institutes of the Japan Society of Laparoscopic Colorectal Surgery between June 2010 and February 2012. Clinicopathological factors and magnetic resonance imaging findings were evaluated. The nomogram performance was assessed using the c-index and calibration plots, and the nomogram was validated using an external cohort. Results In the univariable logistic regression analysis, age, sex, carcinoembryonic antigen, tumor location, clinical T stage, tumor size, circumferential resection margin (CRM), extramural vascular invasion (EMVI), and the short and long axes of LPN and perirectal lymph node (PRLN) were nominated as risk factors for potential LPN metastasis. We identified a combination of the short axis of LPN, tumor location, EMVI, and short axis of PRLN as optimal for predicting potential LPN metastasis and developed a nomogram using these factors. This model had a c-index of 0.74 and was moderately calibrated and well-validated. Conclusions This is the first study to construct a well-validated nomogram for predicting potential LPN metastasis in rectal cancer, and its performance was high. Low rectal cancer (dpeaa)DE-He213 Lateral pelvic lymph node dissection (dpeaa)DE-He213 Lateral pelvic lymph node metastasis (dpeaa)DE-He213 Nomogram (dpeaa)DE-He213 Hida, Koya (orcid)0000-0001-7210-7075 aut Sakai, Yoshiharu aut Hoshino, Nobuaki aut Nishizaki, Daisuke aut Akagi, Tomonori aut Fukuda, Meiki aut Yamaguchi, Tomohiro aut Takemasa, Ichiro aut Tokunaga, Takuya aut Watanabe, Jun aut Watanabe, Masahiko aut Enthalten in International journal of clinical oncology Tokyo : Springer, 1996 27(2022), 7 vom: 12. Apr., Seite 1173-1179 (DE-627)300187033 (DE-600)1481773-1 1437-7772 nnns volume:27 year:2022 number:7 day:12 month:04 pages:1173-1179 https://dx.doi.org/10.1007/s10147-022-02157-1 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_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_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_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 AR 27 2022 7 12 04 1173-1179 |
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10.1007/s10147-022-02157-1 doi (DE-627)SPR047343540 (SPR)s10147-022-02157-1-e DE-627 ger DE-627 rakwb eng Sumii, Atsuhiko verfasserin aut Establishment and validation of a nomogram for predicting potential lateral pelvic lymph node metastasis in low rectal cancer 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to Japan Society of Clinical Oncology 2022 Background Identifying lateral pelvic lymph node (LPN) metastasis in low rectal cancer is crucial before treatment. Several risk factors and prediction models for LPN metastasis have been reported. However, there is no useful tool to accurately predict LPN metastasis. Therefore, we aimed to construct a nomogram for predicting LPN metastasis in rectal cancer. Methods We analyzed the risk factors for potential LPN metastasis by logistic regression analysis in 705 patients who underwent primary resection of low rectal cancer. We included patients at 49 institutes of the Japan Society of Laparoscopic Colorectal Surgery between June 2010 and February 2012. Clinicopathological factors and magnetic resonance imaging findings were evaluated. The nomogram performance was assessed using the c-index and calibration plots, and the nomogram was validated using an external cohort. Results In the univariable logistic regression analysis, age, sex, carcinoembryonic antigen, tumor location, clinical T stage, tumor size, circumferential resection margin (CRM), extramural vascular invasion (EMVI), and the short and long axes of LPN and perirectal lymph node (PRLN) were nominated as risk factors for potential LPN metastasis. We identified a combination of the short axis of LPN, tumor location, EMVI, and short axis of PRLN as optimal for predicting potential LPN metastasis and developed a nomogram using these factors. This model had a c-index of 0.74 and was moderately calibrated and well-validated. Conclusions This is the first study to construct a well-validated nomogram for predicting potential LPN metastasis in rectal cancer, and its performance was high. Low rectal cancer (dpeaa)DE-He213 Lateral pelvic lymph node dissection (dpeaa)DE-He213 Lateral pelvic lymph node metastasis (dpeaa)DE-He213 Nomogram (dpeaa)DE-He213 Hida, Koya (orcid)0000-0001-7210-7075 aut Sakai, Yoshiharu aut Hoshino, Nobuaki aut Nishizaki, Daisuke aut Akagi, Tomonori aut Fukuda, Meiki aut Yamaguchi, Tomohiro aut Takemasa, Ichiro aut Tokunaga, Takuya aut Watanabe, Jun aut Watanabe, Masahiko aut Enthalten in International journal of clinical oncology Tokyo : Springer, 1996 27(2022), 7 vom: 12. Apr., Seite 1173-1179 (DE-627)300187033 (DE-600)1481773-1 1437-7772 nnns volume:27 year:2022 number:7 day:12 month:04 pages:1173-1179 https://dx.doi.org/10.1007/s10147-022-02157-1 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_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_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_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 AR 27 2022 7 12 04 1173-1179 |
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Enthalten in International journal of clinical oncology 27(2022), 7 vom: 12. Apr., Seite 1173-1179 volume:27 year:2022 number:7 day:12 month:04 pages:1173-1179 |
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Enthalten in International journal of clinical oncology 27(2022), 7 vom: 12. Apr., Seite 1173-1179 volume:27 year:2022 number:7 day:12 month:04 pages:1173-1179 |
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Low rectal cancer Lateral pelvic lymph node dissection Lateral pelvic lymph node metastasis Nomogram |
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International journal of clinical oncology |
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Sumii, Atsuhiko @@aut@@ Hida, Koya @@aut@@ Sakai, Yoshiharu @@aut@@ Hoshino, Nobuaki @@aut@@ Nishizaki, Daisuke @@aut@@ Akagi, Tomonori @@aut@@ Fukuda, Meiki @@aut@@ Yamaguchi, Tomohiro @@aut@@ Takemasa, Ichiro @@aut@@ Tokunaga, Takuya @@aut@@ Watanabe, Jun @@aut@@ Watanabe, Masahiko @@aut@@ |
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2022-04-12T00:00:00Z |
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Several risk factors and prediction models for LPN metastasis have been reported. However, there is no useful tool to accurately predict LPN metastasis. Therefore, we aimed to construct a nomogram for predicting LPN metastasis in rectal cancer. Methods We analyzed the risk factors for potential LPN metastasis by logistic regression analysis in 705 patients who underwent primary resection of low rectal cancer. We included patients at 49 institutes of the Japan Society of Laparoscopic Colorectal Surgery between June 2010 and February 2012. Clinicopathological factors and magnetic resonance imaging findings were evaluated. The nomogram performance was assessed using the c-index and calibration plots, and the nomogram was validated using an external cohort. Results In the univariable logistic regression analysis, age, sex, carcinoembryonic antigen, tumor location, clinical T stage, tumor size, circumferential resection margin (CRM), extramural vascular invasion (EMVI), and the short and long axes of LPN and perirectal lymph node (PRLN) were nominated as risk factors for potential LPN metastasis. We identified a combination of the short axis of LPN, tumor location, EMVI, and short axis of PRLN as optimal for predicting potential LPN metastasis and developed a nomogram using these factors. This model had a c-index of 0.74 and was moderately calibrated and well-validated. 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|
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Sumii, Atsuhiko |
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Sumii, Atsuhiko misc Low rectal cancer misc Lateral pelvic lymph node dissection misc Lateral pelvic lymph node metastasis misc Nomogram Establishment and validation of a nomogram for predicting potential lateral pelvic lymph node metastasis in low rectal cancer |
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Establishment and validation of a nomogram for predicting potential lateral pelvic lymph node metastasis in low rectal cancer Low rectal cancer (dpeaa)DE-He213 Lateral pelvic lymph node dissection (dpeaa)DE-He213 Lateral pelvic lymph node metastasis (dpeaa)DE-He213 Nomogram (dpeaa)DE-He213 |
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misc Low rectal cancer misc Lateral pelvic lymph node dissection misc Lateral pelvic lymph node metastasis misc Nomogram |
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misc Low rectal cancer misc Lateral pelvic lymph node dissection misc Lateral pelvic lymph node metastasis misc Nomogram |
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Establishment and validation of a nomogram for predicting potential lateral pelvic lymph node metastasis in low rectal cancer |
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Establishment and validation of a nomogram for predicting potential lateral pelvic lymph node metastasis in low rectal cancer |
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Sumii, Atsuhiko |
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International journal of clinical oncology |
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Sumii, Atsuhiko Hida, Koya Sakai, Yoshiharu Hoshino, Nobuaki Nishizaki, Daisuke Akagi, Tomonori Fukuda, Meiki Yamaguchi, Tomohiro Takemasa, Ichiro Tokunaga, Takuya Watanabe, Jun Watanabe, Masahiko |
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establishment and validation of a nomogram for predicting potential lateral pelvic lymph node metastasis in low rectal cancer |
| title_auth |
Establishment and validation of a nomogram for predicting potential lateral pelvic lymph node metastasis in low rectal cancer |
| abstract |
Background Identifying lateral pelvic lymph node (LPN) metastasis in low rectal cancer is crucial before treatment. Several risk factors and prediction models for LPN metastasis have been reported. However, there is no useful tool to accurately predict LPN metastasis. Therefore, we aimed to construct a nomogram for predicting LPN metastasis in rectal cancer. Methods We analyzed the risk factors for potential LPN metastasis by logistic regression analysis in 705 patients who underwent primary resection of low rectal cancer. We included patients at 49 institutes of the Japan Society of Laparoscopic Colorectal Surgery between June 2010 and February 2012. Clinicopathological factors and magnetic resonance imaging findings were evaluated. The nomogram performance was assessed using the c-index and calibration plots, and the nomogram was validated using an external cohort. Results In the univariable logistic regression analysis, age, sex, carcinoembryonic antigen, tumor location, clinical T stage, tumor size, circumferential resection margin (CRM), extramural vascular invasion (EMVI), and the short and long axes of LPN and perirectal lymph node (PRLN) were nominated as risk factors for potential LPN metastasis. We identified a combination of the short axis of LPN, tumor location, EMVI, and short axis of PRLN as optimal for predicting potential LPN metastasis and developed a nomogram using these factors. This model had a c-index of 0.74 and was moderately calibrated and well-validated. Conclusions This is the first study to construct a well-validated nomogram for predicting potential LPN metastasis in rectal cancer, and its performance was high. © The Author(s) under exclusive licence to Japan Society of Clinical Oncology 2022 |
| abstractGer |
Background Identifying lateral pelvic lymph node (LPN) metastasis in low rectal cancer is crucial before treatment. Several risk factors and prediction models for LPN metastasis have been reported. However, there is no useful tool to accurately predict LPN metastasis. Therefore, we aimed to construct a nomogram for predicting LPN metastasis in rectal cancer. Methods We analyzed the risk factors for potential LPN metastasis by logistic regression analysis in 705 patients who underwent primary resection of low rectal cancer. We included patients at 49 institutes of the Japan Society of Laparoscopic Colorectal Surgery between June 2010 and February 2012. Clinicopathological factors and magnetic resonance imaging findings were evaluated. The nomogram performance was assessed using the c-index and calibration plots, and the nomogram was validated using an external cohort. Results In the univariable logistic regression analysis, age, sex, carcinoembryonic antigen, tumor location, clinical T stage, tumor size, circumferential resection margin (CRM), extramural vascular invasion (EMVI), and the short and long axes of LPN and perirectal lymph node (PRLN) were nominated as risk factors for potential LPN metastasis. We identified a combination of the short axis of LPN, tumor location, EMVI, and short axis of PRLN as optimal for predicting potential LPN metastasis and developed a nomogram using these factors. This model had a c-index of 0.74 and was moderately calibrated and well-validated. Conclusions This is the first study to construct a well-validated nomogram for predicting potential LPN metastasis in rectal cancer, and its performance was high. © The Author(s) under exclusive licence to Japan Society of Clinical Oncology 2022 |
| abstract_unstemmed |
Background Identifying lateral pelvic lymph node (LPN) metastasis in low rectal cancer is crucial before treatment. Several risk factors and prediction models for LPN metastasis have been reported. However, there is no useful tool to accurately predict LPN metastasis. Therefore, we aimed to construct a nomogram for predicting LPN metastasis in rectal cancer. Methods We analyzed the risk factors for potential LPN metastasis by logistic regression analysis in 705 patients who underwent primary resection of low rectal cancer. We included patients at 49 institutes of the Japan Society of Laparoscopic Colorectal Surgery between June 2010 and February 2012. Clinicopathological factors and magnetic resonance imaging findings were evaluated. The nomogram performance was assessed using the c-index and calibration plots, and the nomogram was validated using an external cohort. Results In the univariable logistic regression analysis, age, sex, carcinoembryonic antigen, tumor location, clinical T stage, tumor size, circumferential resection margin (CRM), extramural vascular invasion (EMVI), and the short and long axes of LPN and perirectal lymph node (PRLN) were nominated as risk factors for potential LPN metastasis. We identified a combination of the short axis of LPN, tumor location, EMVI, and short axis of PRLN as optimal for predicting potential LPN metastasis and developed a nomogram using these factors. This model had a c-index of 0.74 and was moderately calibrated and well-validated. Conclusions This is the first study to construct a well-validated nomogram for predicting potential LPN metastasis in rectal cancer, and its performance was high. © The Author(s) under exclusive licence to Japan Society of Clinical Oncology 2022 |
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Establishment and validation of a nomogram for predicting potential lateral pelvic lymph node metastasis in low rectal cancer |
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Hida, Koya Sakai, Yoshiharu Hoshino, Nobuaki Nishizaki, Daisuke Akagi, Tomonori Fukuda, Meiki Yamaguchi, Tomohiro Takemasa, Ichiro Tokunaga, Takuya Watanabe, Jun Watanabe, Masahiko |
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Hida, Koya Sakai, Yoshiharu Hoshino, Nobuaki Nishizaki, Daisuke Akagi, Tomonori Fukuda, Meiki Yamaguchi, Tomohiro Takemasa, Ichiro Tokunaga, Takuya Watanabe, Jun Watanabe, Masahiko |
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| score |
7.3986073 |