Nomogram Predicting Overall Survival in Patients With Locally Advanced Cervical Cancer Treated With Radiochemotherapy Including Image-Guided Brachytherapy: A Retro-EMBRACE Study
Purpose: To present a nomogram for prediction of overall survival (OS) in patients with locally advanced cervical cancer (LACC) undergoing definitive radiochemotherapy including image-guided adaptive brachytherapy (IGABT).Methods and Materials: Seven hundred twenty patients with LACC treated with ra...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sturdza, Alina Emiliana [verfasserIn] Pötter, Richard [verfasserIn] Kossmeier, Michael [verfasserIn] Kirchheiner, Kathrin [verfasserIn] Mahantshetty, Umesh [verfasserIn] Haie-Meder, Christine [verfasserIn] Lindegaard, Jacob Christian [verfasserIn] Jurgenliemk-Schulz, Ina [verfasserIn] Tan, Li Tee [verfasserIn] Hoskin, Peter [verfasserIn] van Limbergen, Erik [verfasserIn] Gillham, Charles [verfasserIn] Segedin, Barbara [verfasserIn] Tharavichitkul, Ekkasit [verfasserIn] Iturre, Elena Villafranca [verfasserIn] Fokdal, Lars Ulrik [verfasserIn] Polterauer, Stephan [verfasserIn] Kirisits, Christian [verfasserIn] Tanderup, Kari [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Übergeordnetes Werk: |
Enthalten in: International journal of radiation oncology, biology, physics - Amsterdam [u.a.] : Elsevier Science, 1975, 111 |
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| Übergeordnetes Werk: |
volume:111 |
| DOI / URN: |
10.1016/j.ijrobp.2021.04.022 |
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ELV00638384X |
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| 245 | 1 | 0 | |a Nomogram Predicting Overall Survival in Patients With Locally Advanced Cervical Cancer Treated With Radiochemotherapy Including Image-Guided Brachytherapy: A Retro-EMBRACE Study |
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| 520 | |a Purpose: To present a nomogram for prediction of overall survival (OS) in patients with locally advanced cervical cancer (LACC) undergoing definitive radiochemotherapy including image-guided adaptive brachytherapy (IGABT).Methods and Materials: Seven hundred twenty patients with LACC treated with radiochemotherapy including IGABT in 12 institutions (median follow-up 56 months) were analyzed; 248 deaths occurred. Thirteen candidate predictors for OS were a priori chosen on the basis of the literature and expert knowledge. Missing data (7.2%) were imputed using multiple imputation and predictive mean matching. Univariate analysis with a multivariable Cox regression model for OS stratified by center was performed. Stepwise selection of predictive factors with the Akaike Information Criterion was used to obtain a predictive model and construct a nomogram for OS predictions 60 months from diagnosis; this was internally validated by concordance probability as a measure of discrimination and a calibration plot.Results: Thirteen potential predictive factors were evaluated; 10 factors reached statistical significance in univariate analysis (age, Hemoglobin, FIGO Stage2009, tumor width, corpus involvement, lymph node involvement, concurrent chemotherapy, dose to 90% of the high-risk clinical target volume, volume of CTV at the first brachytherapy [CTVHRVolumeBT], overall treatment time [OTT]). Four factors were confirmed significant within the multivariable Cox regression model (FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT). The predictive model and corresponding nomogram were based on 7 Akaike Information Criterion–selected factors (age, corpus involvement, FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT, OTT) and showed promising calibration and discrimination (cross-validated concordance probability c = 0.73).Conclusions: This is the first nomogram to predict OS in patients with LACC treated with IGABT. In addition to previously reported factors (age, FIGO2009 stage, corpus involvement, chemotherapy delivery, OTT, lymph node involvement), status of primary tumor at the time of brachytherapy seems to be an essential outcome predictor. These results can facilitate individualized tailoring of treatment and patient counseling during the treatment. | ||
| 700 | 1 | |a Pötter, Richard |e verfasserin |4 aut | |
| 700 | 1 | |a Kossmeier, Michael |e verfasserin |4 aut | |
| 700 | 1 | |a Kirchheiner, Kathrin |e verfasserin |4 aut | |
| 700 | 1 | |a Mahantshetty, Umesh |e verfasserin |4 aut | |
| 700 | 1 | |a Haie-Meder, Christine |e verfasserin |4 aut | |
| 700 | 1 | |a Lindegaard, Jacob Christian |e verfasserin |4 aut | |
| 700 | 1 | |a Jurgenliemk-Schulz, Ina |e verfasserin |4 aut | |
| 700 | 1 | |a Tan, Li Tee |e verfasserin |4 aut | |
| 700 | 1 | |a Hoskin, Peter |e verfasserin |4 aut | |
| 700 | 1 | |a van Limbergen, Erik |e verfasserin |4 aut | |
| 700 | 1 | |a Gillham, Charles |e verfasserin |4 aut | |
| 700 | 1 | |a Segedin, Barbara |e verfasserin |4 aut | |
| 700 | 1 | |a Tharavichitkul, Ekkasit |e verfasserin |4 aut | |
| 700 | 1 | |a Iturre, Elena Villafranca |e verfasserin |4 aut | |
| 700 | 1 | |a Fokdal, Lars Ulrik |e verfasserin |4 aut | |
| 700 | 1 | |a Polterauer, Stephan |e verfasserin |4 aut | |
| 700 | 1 | |a Kirisits, Christian |e verfasserin |4 aut | |
| 700 | 1 | |a Tanderup, Kari |e verfasserin |4 aut | |
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10.1016/j.ijrobp.2021.04.022 doi (DE-627)ELV00638384X (ELSEVIER)S0360-3016(21)00404-1 DE-627 ger DE-627 rda eng 610 DE-600 44.64 bkl 44.81 bkl Sturdza, Alina Emiliana verfasserin (orcid)0000-0002-0527-564X aut Nomogram Predicting Overall Survival in Patients With Locally Advanced Cervical Cancer Treated With Radiochemotherapy Including Image-Guided Brachytherapy: A Retro-EMBRACE Study 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: To present a nomogram for prediction of overall survival (OS) in patients with locally advanced cervical cancer (LACC) undergoing definitive radiochemotherapy including image-guided adaptive brachytherapy (IGABT).Methods and Materials: Seven hundred twenty patients with LACC treated with radiochemotherapy including IGABT in 12 institutions (median follow-up 56 months) were analyzed; 248 deaths occurred. Thirteen candidate predictors for OS were a priori chosen on the basis of the literature and expert knowledge. Missing data (7.2%) were imputed using multiple imputation and predictive mean matching. Univariate analysis with a multivariable Cox regression model for OS stratified by center was performed. Stepwise selection of predictive factors with the Akaike Information Criterion was used to obtain a predictive model and construct a nomogram for OS predictions 60 months from diagnosis; this was internally validated by concordance probability as a measure of discrimination and a calibration plot.Results: Thirteen potential predictive factors were evaluated; 10 factors reached statistical significance in univariate analysis (age, Hemoglobin, FIGO Stage2009, tumor width, corpus involvement, lymph node involvement, concurrent chemotherapy, dose to 90% of the high-risk clinical target volume, volume of CTV at the first brachytherapy [CTVHRVolumeBT], overall treatment time [OTT]). Four factors were confirmed significant within the multivariable Cox regression model (FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT). The predictive model and corresponding nomogram were based on 7 Akaike Information Criterion–selected factors (age, corpus involvement, FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT, OTT) and showed promising calibration and discrimination (cross-validated concordance probability c = 0.73).Conclusions: This is the first nomogram to predict OS in patients with LACC treated with IGABT. In addition to previously reported factors (age, FIGO2009 stage, corpus involvement, chemotherapy delivery, OTT, lymph node involvement), status of primary tumor at the time of brachytherapy seems to be an essential outcome predictor. These results can facilitate individualized tailoring of treatment and patient counseling during the treatment. Pötter, Richard verfasserin aut Kossmeier, Michael verfasserin aut Kirchheiner, Kathrin verfasserin aut Mahantshetty, Umesh verfasserin aut Haie-Meder, Christine verfasserin aut Lindegaard, Jacob Christian verfasserin aut Jurgenliemk-Schulz, Ina verfasserin aut Tan, Li Tee verfasserin aut Hoskin, Peter verfasserin aut van Limbergen, Erik verfasserin aut Gillham, Charles verfasserin aut Segedin, Barbara verfasserin aut Tharavichitkul, Ekkasit verfasserin aut Iturre, Elena Villafranca verfasserin aut Fokdal, Lars Ulrik verfasserin aut Polterauer, Stephan verfasserin aut Kirisits, Christian verfasserin aut Tanderup, Kari verfasserin aut Enthalten in International journal of radiation oncology, biology, physics Amsterdam [u.a.] : Elsevier Science, 1975 111 Online-Ressource (DE-627)306659662 (DE-600)1500486-7 (DE-576)081986319 1879-355X nnns volume:111 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_31 GBV_ILN_2011 44.64 Radiologie 44.81 Onkologie AR 111 |
| spelling |
10.1016/j.ijrobp.2021.04.022 doi (DE-627)ELV00638384X (ELSEVIER)S0360-3016(21)00404-1 DE-627 ger DE-627 rda eng 610 DE-600 44.64 bkl 44.81 bkl Sturdza, Alina Emiliana verfasserin (orcid)0000-0002-0527-564X aut Nomogram Predicting Overall Survival in Patients With Locally Advanced Cervical Cancer Treated With Radiochemotherapy Including Image-Guided Brachytherapy: A Retro-EMBRACE Study 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: To present a nomogram for prediction of overall survival (OS) in patients with locally advanced cervical cancer (LACC) undergoing definitive radiochemotherapy including image-guided adaptive brachytherapy (IGABT).Methods and Materials: Seven hundred twenty patients with LACC treated with radiochemotherapy including IGABT in 12 institutions (median follow-up 56 months) were analyzed; 248 deaths occurred. Thirteen candidate predictors for OS were a priori chosen on the basis of the literature and expert knowledge. Missing data (7.2%) were imputed using multiple imputation and predictive mean matching. Univariate analysis with a multivariable Cox regression model for OS stratified by center was performed. Stepwise selection of predictive factors with the Akaike Information Criterion was used to obtain a predictive model and construct a nomogram for OS predictions 60 months from diagnosis; this was internally validated by concordance probability as a measure of discrimination and a calibration plot.Results: Thirteen potential predictive factors were evaluated; 10 factors reached statistical significance in univariate analysis (age, Hemoglobin, FIGO Stage2009, tumor width, corpus involvement, lymph node involvement, concurrent chemotherapy, dose to 90% of the high-risk clinical target volume, volume of CTV at the first brachytherapy [CTVHRVolumeBT], overall treatment time [OTT]). Four factors were confirmed significant within the multivariable Cox regression model (FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT). The predictive model and corresponding nomogram were based on 7 Akaike Information Criterion–selected factors (age, corpus involvement, FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT, OTT) and showed promising calibration and discrimination (cross-validated concordance probability c = 0.73).Conclusions: This is the first nomogram to predict OS in patients with LACC treated with IGABT. In addition to previously reported factors (age, FIGO2009 stage, corpus involvement, chemotherapy delivery, OTT, lymph node involvement), status of primary tumor at the time of brachytherapy seems to be an essential outcome predictor. These results can facilitate individualized tailoring of treatment and patient counseling during the treatment. Pötter, Richard verfasserin aut Kossmeier, Michael verfasserin aut Kirchheiner, Kathrin verfasserin aut Mahantshetty, Umesh verfasserin aut Haie-Meder, Christine verfasserin aut Lindegaard, Jacob Christian verfasserin aut Jurgenliemk-Schulz, Ina verfasserin aut Tan, Li Tee verfasserin aut Hoskin, Peter verfasserin aut van Limbergen, Erik verfasserin aut Gillham, Charles verfasserin aut Segedin, Barbara verfasserin aut Tharavichitkul, Ekkasit verfasserin aut Iturre, Elena Villafranca verfasserin aut Fokdal, Lars Ulrik verfasserin aut Polterauer, Stephan verfasserin aut Kirisits, Christian verfasserin aut Tanderup, Kari verfasserin aut Enthalten in International journal of radiation oncology, biology, physics Amsterdam [u.a.] : Elsevier Science, 1975 111 Online-Ressource (DE-627)306659662 (DE-600)1500486-7 (DE-576)081986319 1879-355X nnns volume:111 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_31 GBV_ILN_2011 44.64 Radiologie 44.81 Onkologie AR 111 |
| allfields_unstemmed |
10.1016/j.ijrobp.2021.04.022 doi (DE-627)ELV00638384X (ELSEVIER)S0360-3016(21)00404-1 DE-627 ger DE-627 rda eng 610 DE-600 44.64 bkl 44.81 bkl Sturdza, Alina Emiliana verfasserin (orcid)0000-0002-0527-564X aut Nomogram Predicting Overall Survival in Patients With Locally Advanced Cervical Cancer Treated With Radiochemotherapy Including Image-Guided Brachytherapy: A Retro-EMBRACE Study 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: To present a nomogram for prediction of overall survival (OS) in patients with locally advanced cervical cancer (LACC) undergoing definitive radiochemotherapy including image-guided adaptive brachytherapy (IGABT).Methods and Materials: Seven hundred twenty patients with LACC treated with radiochemotherapy including IGABT in 12 institutions (median follow-up 56 months) were analyzed; 248 deaths occurred. Thirteen candidate predictors for OS were a priori chosen on the basis of the literature and expert knowledge. Missing data (7.2%) were imputed using multiple imputation and predictive mean matching. Univariate analysis with a multivariable Cox regression model for OS stratified by center was performed. Stepwise selection of predictive factors with the Akaike Information Criterion was used to obtain a predictive model and construct a nomogram for OS predictions 60 months from diagnosis; this was internally validated by concordance probability as a measure of discrimination and a calibration plot.Results: Thirteen potential predictive factors were evaluated; 10 factors reached statistical significance in univariate analysis (age, Hemoglobin, FIGO Stage2009, tumor width, corpus involvement, lymph node involvement, concurrent chemotherapy, dose to 90% of the high-risk clinical target volume, volume of CTV at the first brachytherapy [CTVHRVolumeBT], overall treatment time [OTT]). Four factors were confirmed significant within the multivariable Cox regression model (FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT). The predictive model and corresponding nomogram were based on 7 Akaike Information Criterion–selected factors (age, corpus involvement, FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT, OTT) and showed promising calibration and discrimination (cross-validated concordance probability c = 0.73).Conclusions: This is the first nomogram to predict OS in patients with LACC treated with IGABT. In addition to previously reported factors (age, FIGO2009 stage, corpus involvement, chemotherapy delivery, OTT, lymph node involvement), status of primary tumor at the time of brachytherapy seems to be an essential outcome predictor. These results can facilitate individualized tailoring of treatment and patient counseling during the treatment. Pötter, Richard verfasserin aut Kossmeier, Michael verfasserin aut Kirchheiner, Kathrin verfasserin aut Mahantshetty, Umesh verfasserin aut Haie-Meder, Christine verfasserin aut Lindegaard, Jacob Christian verfasserin aut Jurgenliemk-Schulz, Ina verfasserin aut Tan, Li Tee verfasserin aut Hoskin, Peter verfasserin aut van Limbergen, Erik verfasserin aut Gillham, Charles verfasserin aut Segedin, Barbara verfasserin aut Tharavichitkul, Ekkasit verfasserin aut Iturre, Elena Villafranca verfasserin aut Fokdal, Lars Ulrik verfasserin aut Polterauer, Stephan verfasserin aut Kirisits, Christian verfasserin aut Tanderup, Kari verfasserin aut Enthalten in International journal of radiation oncology, biology, physics Amsterdam [u.a.] : Elsevier Science, 1975 111 Online-Ressource (DE-627)306659662 (DE-600)1500486-7 (DE-576)081986319 1879-355X nnns volume:111 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_31 GBV_ILN_2011 44.64 Radiologie 44.81 Onkologie AR 111 |
| allfieldsGer |
10.1016/j.ijrobp.2021.04.022 doi (DE-627)ELV00638384X (ELSEVIER)S0360-3016(21)00404-1 DE-627 ger DE-627 rda eng 610 DE-600 44.64 bkl 44.81 bkl Sturdza, Alina Emiliana verfasserin (orcid)0000-0002-0527-564X aut Nomogram Predicting Overall Survival in Patients With Locally Advanced Cervical Cancer Treated With Radiochemotherapy Including Image-Guided Brachytherapy: A Retro-EMBRACE Study 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: To present a nomogram for prediction of overall survival (OS) in patients with locally advanced cervical cancer (LACC) undergoing definitive radiochemotherapy including image-guided adaptive brachytherapy (IGABT).Methods and Materials: Seven hundred twenty patients with LACC treated with radiochemotherapy including IGABT in 12 institutions (median follow-up 56 months) were analyzed; 248 deaths occurred. Thirteen candidate predictors for OS were a priori chosen on the basis of the literature and expert knowledge. Missing data (7.2%) were imputed using multiple imputation and predictive mean matching. Univariate analysis with a multivariable Cox regression model for OS stratified by center was performed. Stepwise selection of predictive factors with the Akaike Information Criterion was used to obtain a predictive model and construct a nomogram for OS predictions 60 months from diagnosis; this was internally validated by concordance probability as a measure of discrimination and a calibration plot.Results: Thirteen potential predictive factors were evaluated; 10 factors reached statistical significance in univariate analysis (age, Hemoglobin, FIGO Stage2009, tumor width, corpus involvement, lymph node involvement, concurrent chemotherapy, dose to 90% of the high-risk clinical target volume, volume of CTV at the first brachytherapy [CTVHRVolumeBT], overall treatment time [OTT]). Four factors were confirmed significant within the multivariable Cox regression model (FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT). The predictive model and corresponding nomogram were based on 7 Akaike Information Criterion–selected factors (age, corpus involvement, FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT, OTT) and showed promising calibration and discrimination (cross-validated concordance probability c = 0.73).Conclusions: This is the first nomogram to predict OS in patients with LACC treated with IGABT. In addition to previously reported factors (age, FIGO2009 stage, corpus involvement, chemotherapy delivery, OTT, lymph node involvement), status of primary tumor at the time of brachytherapy seems to be an essential outcome predictor. These results can facilitate individualized tailoring of treatment and patient counseling during the treatment. Pötter, Richard verfasserin aut Kossmeier, Michael verfasserin aut Kirchheiner, Kathrin verfasserin aut Mahantshetty, Umesh verfasserin aut Haie-Meder, Christine verfasserin aut Lindegaard, Jacob Christian verfasserin aut Jurgenliemk-Schulz, Ina verfasserin aut Tan, Li Tee verfasserin aut Hoskin, Peter verfasserin aut van Limbergen, Erik verfasserin aut Gillham, Charles verfasserin aut Segedin, Barbara verfasserin aut Tharavichitkul, Ekkasit verfasserin aut Iturre, Elena Villafranca verfasserin aut Fokdal, Lars Ulrik verfasserin aut Polterauer, Stephan verfasserin aut Kirisits, Christian verfasserin aut Tanderup, Kari verfasserin aut Enthalten in International journal of radiation oncology, biology, physics Amsterdam [u.a.] : Elsevier Science, 1975 111 Online-Ressource (DE-627)306659662 (DE-600)1500486-7 (DE-576)081986319 1879-355X nnns volume:111 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_31 GBV_ILN_2011 44.64 Radiologie 44.81 Onkologie AR 111 |
| allfieldsSound |
10.1016/j.ijrobp.2021.04.022 doi (DE-627)ELV00638384X (ELSEVIER)S0360-3016(21)00404-1 DE-627 ger DE-627 rda eng 610 DE-600 44.64 bkl 44.81 bkl Sturdza, Alina Emiliana verfasserin (orcid)0000-0002-0527-564X aut Nomogram Predicting Overall Survival in Patients With Locally Advanced Cervical Cancer Treated With Radiochemotherapy Including Image-Guided Brachytherapy: A Retro-EMBRACE Study 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose: To present a nomogram for prediction of overall survival (OS) in patients with locally advanced cervical cancer (LACC) undergoing definitive radiochemotherapy including image-guided adaptive brachytherapy (IGABT).Methods and Materials: Seven hundred twenty patients with LACC treated with radiochemotherapy including IGABT in 12 institutions (median follow-up 56 months) were analyzed; 248 deaths occurred. Thirteen candidate predictors for OS were a priori chosen on the basis of the literature and expert knowledge. Missing data (7.2%) were imputed using multiple imputation and predictive mean matching. Univariate analysis with a multivariable Cox regression model for OS stratified by center was performed. Stepwise selection of predictive factors with the Akaike Information Criterion was used to obtain a predictive model and construct a nomogram for OS predictions 60 months from diagnosis; this was internally validated by concordance probability as a measure of discrimination and a calibration plot.Results: Thirteen potential predictive factors were evaluated; 10 factors reached statistical significance in univariate analysis (age, Hemoglobin, FIGO Stage2009, tumor width, corpus involvement, lymph node involvement, concurrent chemotherapy, dose to 90% of the high-risk clinical target volume, volume of CTV at the first brachytherapy [CTVHRVolumeBT], overall treatment time [OTT]). Four factors were confirmed significant within the multivariable Cox regression model (FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT). The predictive model and corresponding nomogram were based on 7 Akaike Information Criterion–selected factors (age, corpus involvement, FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT, OTT) and showed promising calibration and discrimination (cross-validated concordance probability c = 0.73).Conclusions: This is the first nomogram to predict OS in patients with LACC treated with IGABT. In addition to previously reported factors (age, FIGO2009 stage, corpus involvement, chemotherapy delivery, OTT, lymph node involvement), status of primary tumor at the time of brachytherapy seems to be an essential outcome predictor. These results can facilitate individualized tailoring of treatment and patient counseling during the treatment. Pötter, Richard verfasserin aut Kossmeier, Michael verfasserin aut Kirchheiner, Kathrin verfasserin aut Mahantshetty, Umesh verfasserin aut Haie-Meder, Christine verfasserin aut Lindegaard, Jacob Christian verfasserin aut Jurgenliemk-Schulz, Ina verfasserin aut Tan, Li Tee verfasserin aut Hoskin, Peter verfasserin aut van Limbergen, Erik verfasserin aut Gillham, Charles verfasserin aut Segedin, Barbara verfasserin aut Tharavichitkul, Ekkasit verfasserin aut Iturre, Elena Villafranca verfasserin aut Fokdal, Lars Ulrik verfasserin aut Polterauer, Stephan verfasserin aut Kirisits, Christian verfasserin aut Tanderup, Kari verfasserin aut Enthalten in International journal of radiation oncology, biology, physics Amsterdam [u.a.] : Elsevier Science, 1975 111 Online-Ressource (DE-627)306659662 (DE-600)1500486-7 (DE-576)081986319 1879-355X nnns volume:111 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_31 GBV_ILN_2011 44.64 Radiologie 44.81 Onkologie AR 111 |
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Sturdza, Alina Emiliana @@aut@@ Pötter, Richard @@aut@@ Kossmeier, Michael @@aut@@ Kirchheiner, Kathrin @@aut@@ Mahantshetty, Umesh @@aut@@ Haie-Meder, Christine @@aut@@ Lindegaard, Jacob Christian @@aut@@ Jurgenliemk-Schulz, Ina @@aut@@ Tan, Li Tee @@aut@@ Hoskin, Peter @@aut@@ van Limbergen, Erik @@aut@@ Gillham, Charles @@aut@@ Segedin, Barbara @@aut@@ Tharavichitkul, Ekkasit @@aut@@ Iturre, Elena Villafranca @@aut@@ Fokdal, Lars Ulrik @@aut@@ Polterauer, Stephan @@aut@@ Kirisits, Christian @@aut@@ Tanderup, Kari @@aut@@ |
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Thirteen candidate predictors for OS were a priori chosen on the basis of the literature and expert knowledge. Missing data (7.2%) were imputed using multiple imputation and predictive mean matching. Univariate analysis with a multivariable Cox regression model for OS stratified by center was performed. Stepwise selection of predictive factors with the Akaike Information Criterion was used to obtain a predictive model and construct a nomogram for OS predictions 60 months from diagnosis; this was internally validated by concordance probability as a measure of discrimination and a calibration plot.Results: Thirteen potential predictive factors were evaluated; 10 factors reached statistical significance in univariate analysis (age, Hemoglobin, FIGO Stage2009, tumor width, corpus involvement, lymph node involvement, concurrent chemotherapy, dose to 90% of the high-risk clinical target volume, volume of CTV at the first brachytherapy [CTVHRVolumeBT], overall treatment time [OTT]). Four factors were confirmed significant within the multivariable Cox regression model (FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT). The predictive model and corresponding nomogram were based on 7 Akaike Information Criterion–selected factors (age, corpus involvement, FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT, OTT) and showed promising calibration and discrimination (cross-validated concordance probability c = 0.73).Conclusions: This is the first nomogram to predict OS in patients with LACC treated with IGABT. In addition to previously reported factors (age, FIGO2009 stage, corpus involvement, chemotherapy delivery, OTT, lymph node involvement), status of primary tumor at the time of brachytherapy seems to be an essential outcome predictor. 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Sturdza, Alina Emiliana |
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Sturdza, Alina Emiliana Pötter, Richard Kossmeier, Michael Kirchheiner, Kathrin Mahantshetty, Umesh Haie-Meder, Christine Lindegaard, Jacob Christian Jurgenliemk-Schulz, Ina Tan, Li Tee Hoskin, Peter van Limbergen, Erik Gillham, Charles Segedin, Barbara Tharavichitkul, Ekkasit Iturre, Elena Villafranca Fokdal, Lars Ulrik Polterauer, Stephan Kirisits, Christian Tanderup, Kari |
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nomogram predicting overall survival in patients with locally advanced cervical cancer treated with radiochemotherapy including image-guided brachytherapy: a retro-embrace study |
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Nomogram Predicting Overall Survival in Patients With Locally Advanced Cervical Cancer Treated With Radiochemotherapy Including Image-Guided Brachytherapy: A Retro-EMBRACE Study |
| abstract |
Purpose: To present a nomogram for prediction of overall survival (OS) in patients with locally advanced cervical cancer (LACC) undergoing definitive radiochemotherapy including image-guided adaptive brachytherapy (IGABT).Methods and Materials: Seven hundred twenty patients with LACC treated with radiochemotherapy including IGABT in 12 institutions (median follow-up 56 months) were analyzed; 248 deaths occurred. Thirteen candidate predictors for OS were a priori chosen on the basis of the literature and expert knowledge. Missing data (7.2%) were imputed using multiple imputation and predictive mean matching. Univariate analysis with a multivariable Cox regression model for OS stratified by center was performed. Stepwise selection of predictive factors with the Akaike Information Criterion was used to obtain a predictive model and construct a nomogram for OS predictions 60 months from diagnosis; this was internally validated by concordance probability as a measure of discrimination and a calibration plot.Results: Thirteen potential predictive factors were evaluated; 10 factors reached statistical significance in univariate analysis (age, Hemoglobin, FIGO Stage2009, tumor width, corpus involvement, lymph node involvement, concurrent chemotherapy, dose to 90% of the high-risk clinical target volume, volume of CTV at the first brachytherapy [CTVHRVolumeBT], overall treatment time [OTT]). Four factors were confirmed significant within the multivariable Cox regression model (FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT). The predictive model and corresponding nomogram were based on 7 Akaike Information Criterion–selected factors (age, corpus involvement, FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT, OTT) and showed promising calibration and discrimination (cross-validated concordance probability c = 0.73).Conclusions: This is the first nomogram to predict OS in patients with LACC treated with IGABT. In addition to previously reported factors (age, FIGO2009 stage, corpus involvement, chemotherapy delivery, OTT, lymph node involvement), status of primary tumor at the time of brachytherapy seems to be an essential outcome predictor. These results can facilitate individualized tailoring of treatment and patient counseling during the treatment. |
| abstractGer |
Purpose: To present a nomogram for prediction of overall survival (OS) in patients with locally advanced cervical cancer (LACC) undergoing definitive radiochemotherapy including image-guided adaptive brachytherapy (IGABT).Methods and Materials: Seven hundred twenty patients with LACC treated with radiochemotherapy including IGABT in 12 institutions (median follow-up 56 months) were analyzed; 248 deaths occurred. Thirteen candidate predictors for OS were a priori chosen on the basis of the literature and expert knowledge. Missing data (7.2%) were imputed using multiple imputation and predictive mean matching. Univariate analysis with a multivariable Cox regression model for OS stratified by center was performed. Stepwise selection of predictive factors with the Akaike Information Criterion was used to obtain a predictive model and construct a nomogram for OS predictions 60 months from diagnosis; this was internally validated by concordance probability as a measure of discrimination and a calibration plot.Results: Thirteen potential predictive factors were evaluated; 10 factors reached statistical significance in univariate analysis (age, Hemoglobin, FIGO Stage2009, tumor width, corpus involvement, lymph node involvement, concurrent chemotherapy, dose to 90% of the high-risk clinical target volume, volume of CTV at the first brachytherapy [CTVHRVolumeBT], overall treatment time [OTT]). Four factors were confirmed significant within the multivariable Cox regression model (FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT). The predictive model and corresponding nomogram were based on 7 Akaike Information Criterion–selected factors (age, corpus involvement, FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT, OTT) and showed promising calibration and discrimination (cross-validated concordance probability c = 0.73).Conclusions: This is the first nomogram to predict OS in patients with LACC treated with IGABT. In addition to previously reported factors (age, FIGO2009 stage, corpus involvement, chemotherapy delivery, OTT, lymph node involvement), status of primary tumor at the time of brachytherapy seems to be an essential outcome predictor. These results can facilitate individualized tailoring of treatment and patient counseling during the treatment. |
| abstract_unstemmed |
Purpose: To present a nomogram for prediction of overall survival (OS) in patients with locally advanced cervical cancer (LACC) undergoing definitive radiochemotherapy including image-guided adaptive brachytherapy (IGABT).Methods and Materials: Seven hundred twenty patients with LACC treated with radiochemotherapy including IGABT in 12 institutions (median follow-up 56 months) were analyzed; 248 deaths occurred. Thirteen candidate predictors for OS were a priori chosen on the basis of the literature and expert knowledge. Missing data (7.2%) were imputed using multiple imputation and predictive mean matching. Univariate analysis with a multivariable Cox regression model for OS stratified by center was performed. Stepwise selection of predictive factors with the Akaike Information Criterion was used to obtain a predictive model and construct a nomogram for OS predictions 60 months from diagnosis; this was internally validated by concordance probability as a measure of discrimination and a calibration plot.Results: Thirteen potential predictive factors were evaluated; 10 factors reached statistical significance in univariate analysis (age, Hemoglobin, FIGO Stage2009, tumor width, corpus involvement, lymph node involvement, concurrent chemotherapy, dose to 90% of the high-risk clinical target volume, volume of CTV at the first brachytherapy [CTVHRVolumeBT], overall treatment time [OTT]). Four factors were confirmed significant within the multivariable Cox regression model (FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT). The predictive model and corresponding nomogram were based on 7 Akaike Information Criterion–selected factors (age, corpus involvement, FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT, OTT) and showed promising calibration and discrimination (cross-validated concordance probability c = 0.73).Conclusions: This is the first nomogram to predict OS in patients with LACC treated with IGABT. In addition to previously reported factors (age, FIGO2009 stage, corpus involvement, chemotherapy delivery, OTT, lymph node involvement), status of primary tumor at the time of brachytherapy seems to be an essential outcome predictor. These results can facilitate individualized tailoring of treatment and patient counseling during the treatment. |
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Nomogram Predicting Overall Survival in Patients With Locally Advanced Cervical Cancer Treated With Radiochemotherapy Including Image-Guided Brachytherapy: A Retro-EMBRACE Study |
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Pötter, Richard Kossmeier, Michael Kirchheiner, Kathrin Mahantshetty, Umesh Haie-Meder, Christine Lindegaard, Jacob Christian Jurgenliemk-Schulz, Ina Tan, Li Tee Hoskin, Peter van Limbergen, Erik Gillham, Charles Segedin, Barbara Tharavichitkul, Ekkasit Iturre, Elena Villafranca Fokdal, Lars Ulrik Polterauer, Stephan Kirisits, Christian Tanderup, Kari |
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Thirteen candidate predictors for OS were a priori chosen on the basis of the literature and expert knowledge. Missing data (7.2%) were imputed using multiple imputation and predictive mean matching. Univariate analysis with a multivariable Cox regression model for OS stratified by center was performed. Stepwise selection of predictive factors with the Akaike Information Criterion was used to obtain a predictive model and construct a nomogram for OS predictions 60 months from diagnosis; this was internally validated by concordance probability as a measure of discrimination and a calibration plot.Results: Thirteen potential predictive factors were evaluated; 10 factors reached statistical significance in univariate analysis (age, Hemoglobin, FIGO Stage2009, tumor width, corpus involvement, lymph node involvement, concurrent chemotherapy, dose to 90% of the high-risk clinical target volume, volume of CTV at the first brachytherapy [CTVHRVolumeBT], overall treatment time [OTT]). Four factors were confirmed significant within the multivariable Cox regression model (FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT). The predictive model and corresponding nomogram were based on 7 Akaike Information Criterion–selected factors (age, corpus involvement, FIGO Stage2009, lymph node involvement, concurrent chemotherapy, CTVHRVolumeBT, OTT) and showed promising calibration and discrimination (cross-validated concordance probability c = 0.73).Conclusions: This is the first nomogram to predict OS in patients with LACC treated with IGABT. In addition to previously reported factors (age, FIGO2009 stage, corpus involvement, chemotherapy delivery, OTT, lymph node involvement), status of primary tumor at the time of brachytherapy seems to be an essential outcome predictor. 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