Radiation-induced occult insufficiency fracture or bone metastasis after radiotherapy for cervical cancer? The nomogram based on quantitative apparent diffusion coefficients for discrimination
Background Radiation-induced insufficiency fractures (IF) is frequently occult without fracture line, which may be mistaken as metastasis. Quantitative apparent diffusion coefficient (ADC) shows potential value for characterization of benign and malignant bone marrow diseases. The purpose of this st...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhong, Xi [verfasserIn] Jiang, Huali [verfasserIn] Mai, Hui [verfasserIn] Xiang, Jialin [verfasserIn] Li, Jiansheng [verfasserIn] Huang, Zhiqing [verfasserIn] Wu, Songxin [verfasserIn] Luo, Liangping [verfasserIn] Jiang, Kuiming [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Übergeordnetes Werk: |
Enthalten in: Cancer imaging - London, 2000, 20(2020), 1 vom: 23. Okt. |
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| Übergeordnetes Werk: |
volume:20 ; year:2020 ; number:1 ; day:23 ; month:10 |
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| DOI / URN: |
10.1186/s40644-020-00353-8 |
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| Katalog-ID: |
SPR041539974 |
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| 245 | 1 | 0 | |a Radiation-induced occult insufficiency fracture or bone metastasis after radiotherapy for cervical cancer? The nomogram based on quantitative apparent diffusion coefficients for discrimination |
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| 520 | |a Background Radiation-induced insufficiency fractures (IF) is frequently occult without fracture line, which may be mistaken as metastasis. Quantitative apparent diffusion coefficient (ADC) shows potential value for characterization of benign and malignant bone marrow diseases. The purpose of this study was to develop a nomogram based on multi-parametric ADCs in the differntiation of occult IF from bone metastasis after radiotherapy (RT) for cervical cancer. Methods This study included forty-seven patients with cervical cancer that showed emerging new bone lesions in RT field during the follow-up. Multi-parametric quantitative ADC values were measured for each lesion by manually setting region of interests (ROIs) on ADC maps, and the ROIs were copied to adjacent normal muscle and bone marrow. Six parameters were calculated, including $ ADC_{mean} $, $ ADC_{min} $, $ ADC_{max} $, $ ADC_{std} $, $ ADC_{mean} $ ratio (lesion/normal bone) and $ ADC_{mean} $ ratio (lesion/muscle). For univariate analysis, receiver operating characteristic curve (ROC) analysis was performed to assess the performance. For combined diagnosis, a nomogram model was developed by using a multivariate logistic regression analysis. Results A total of 75 bone lesions were identified, including 48 occult IFs and 27 bone metastases. There were significant differences in the six ADC parameters between occult IFs and bone metastases (p < 0.05), the ADC ratio (lesion/ muscle) showed an optimal diagnostic efficacy, with an area under ROC (AUC) of 0.887, the sensitivity of 95.8%, the specificity of 81.5%, respectively. Regarding combined diagnosis, $ ADC_{std} $ and $ ADC_{mean} $ ratio (lesion/muscle) were identified as independent factors and were selected to generate a nomogram model. The nomogram model showed a better performance, yielded an AUC of 0.92, the sensitivity of 91.7%, the specificity of 96.3%, positive predictive value (PPV) of 97.8% and negative predictive value (NPV) of 86.7%, respectively. Conclusions Multi-parametric ADC values demonstrate potential value for differentiating occult IFs from bone metastasis, a nomogram based on the combination of $ ADC_{std} $ and $ ADC_{mean} $ ratio (lesion/muscle) may provide an improved classification performance. | ||
| 650 | 4 | |a Insufficiency fracture |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Radiotherapy |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Apparent diffusion coefficient |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Nomogram |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Cervical cancer |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Jiang, Huali |e verfasserin |4 aut | |
| 700 | 1 | |a Mai, Hui |e verfasserin |4 aut | |
| 700 | 1 | |a Xiang, Jialin |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Jiansheng |e verfasserin |4 aut | |
| 700 | 1 | |a Huang, Zhiqing |e verfasserin |4 aut | |
| 700 | 1 | |a Wu, Songxin |e verfasserin |4 aut | |
| 700 | 1 | |a Luo, Liangping |e verfasserin |4 aut | |
| 700 | 1 | |a Jiang, Kuiming |e verfasserin |4 aut | |
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10.1186/s40644-020-00353-8 doi (DE-627)SPR041539974 (SPR)s40644-020-00353-8-e DE-627 ger DE-627 rakwb eng 610 ASE Zhong, Xi verfasserin aut Radiation-induced occult insufficiency fracture or bone metastasis after radiotherapy for cervical cancer? The nomogram based on quantitative apparent diffusion coefficients for discrimination 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Radiation-induced insufficiency fractures (IF) is frequently occult without fracture line, which may be mistaken as metastasis. Quantitative apparent diffusion coefficient (ADC) shows potential value for characterization of benign and malignant bone marrow diseases. The purpose of this study was to develop a nomogram based on multi-parametric ADCs in the differntiation of occult IF from bone metastasis after radiotherapy (RT) for cervical cancer. Methods This study included forty-seven patients with cervical cancer that showed emerging new bone lesions in RT field during the follow-up. Multi-parametric quantitative ADC values were measured for each lesion by manually setting region of interests (ROIs) on ADC maps, and the ROIs were copied to adjacent normal muscle and bone marrow. Six parameters were calculated, including $ ADC_{mean} $, $ ADC_{min} $, $ ADC_{max} $, $ ADC_{std} $, $ ADC_{mean} $ ratio (lesion/normal bone) and $ ADC_{mean} $ ratio (lesion/muscle). For univariate analysis, receiver operating characteristic curve (ROC) analysis was performed to assess the performance. For combined diagnosis, a nomogram model was developed by using a multivariate logistic regression analysis. Results A total of 75 bone lesions were identified, including 48 occult IFs and 27 bone metastases. There were significant differences in the six ADC parameters between occult IFs and bone metastases (p < 0.05), the ADC ratio (lesion/ muscle) showed an optimal diagnostic efficacy, with an area under ROC (AUC) of 0.887, the sensitivity of 95.8%, the specificity of 81.5%, respectively. Regarding combined diagnosis, $ ADC_{std} $ and $ ADC_{mean} $ ratio (lesion/muscle) were identified as independent factors and were selected to generate a nomogram model. The nomogram model showed a better performance, yielded an AUC of 0.92, the sensitivity of 91.7%, the specificity of 96.3%, positive predictive value (PPV) of 97.8% and negative predictive value (NPV) of 86.7%, respectively. Conclusions Multi-parametric ADC values demonstrate potential value for differentiating occult IFs from bone metastasis, a nomogram based on the combination of $ ADC_{std} $ and $ ADC_{mean} $ ratio (lesion/muscle) may provide an improved classification performance. Insufficiency fracture (dpeaa)DE-He213 Radiotherapy (dpeaa)DE-He213 Apparent diffusion coefficient (dpeaa)DE-He213 Nomogram (dpeaa)DE-He213 Cervical cancer (dpeaa)DE-He213 Jiang, Huali verfasserin aut Mai, Hui verfasserin aut Xiang, Jialin verfasserin aut Li, Jiansheng verfasserin aut Huang, Zhiqing verfasserin aut Wu, Songxin verfasserin aut Luo, Liangping verfasserin aut Jiang, Kuiming verfasserin aut Enthalten in Cancer imaging London, 2000 20(2020), 1 vom: 23. Okt. (DE-627)36374732X (DE-600)2104862-9 1470-7330 nnns volume:20 year:2020 number:1 day:23 month:10 https://dx.doi.org/10.1186/s40644-020-00353-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2020 1 23 10 |
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10.1186/s40644-020-00353-8 doi (DE-627)SPR041539974 (SPR)s40644-020-00353-8-e DE-627 ger DE-627 rakwb eng 610 ASE Zhong, Xi verfasserin aut Radiation-induced occult insufficiency fracture or bone metastasis after radiotherapy for cervical cancer? The nomogram based on quantitative apparent diffusion coefficients for discrimination 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Radiation-induced insufficiency fractures (IF) is frequently occult without fracture line, which may be mistaken as metastasis. Quantitative apparent diffusion coefficient (ADC) shows potential value for characterization of benign and malignant bone marrow diseases. The purpose of this study was to develop a nomogram based on multi-parametric ADCs in the differntiation of occult IF from bone metastasis after radiotherapy (RT) for cervical cancer. Methods This study included forty-seven patients with cervical cancer that showed emerging new bone lesions in RT field during the follow-up. Multi-parametric quantitative ADC values were measured for each lesion by manually setting region of interests (ROIs) on ADC maps, and the ROIs were copied to adjacent normal muscle and bone marrow. Six parameters were calculated, including $ ADC_{mean} $, $ ADC_{min} $, $ ADC_{max} $, $ ADC_{std} $, $ ADC_{mean} $ ratio (lesion/normal bone) and $ ADC_{mean} $ ratio (lesion/muscle). For univariate analysis, receiver operating characteristic curve (ROC) analysis was performed to assess the performance. For combined diagnosis, a nomogram model was developed by using a multivariate logistic regression analysis. Results A total of 75 bone lesions were identified, including 48 occult IFs and 27 bone metastases. There were significant differences in the six ADC parameters between occult IFs and bone metastases (p < 0.05), the ADC ratio (lesion/ muscle) showed an optimal diagnostic efficacy, with an area under ROC (AUC) of 0.887, the sensitivity of 95.8%, the specificity of 81.5%, respectively. Regarding combined diagnosis, $ ADC_{std} $ and $ ADC_{mean} $ ratio (lesion/muscle) were identified as independent factors and were selected to generate a nomogram model. The nomogram model showed a better performance, yielded an AUC of 0.92, the sensitivity of 91.7%, the specificity of 96.3%, positive predictive value (PPV) of 97.8% and negative predictive value (NPV) of 86.7%, respectively. Conclusions Multi-parametric ADC values demonstrate potential value for differentiating occult IFs from bone metastasis, a nomogram based on the combination of $ ADC_{std} $ and $ ADC_{mean} $ ratio (lesion/muscle) may provide an improved classification performance. Insufficiency fracture (dpeaa)DE-He213 Radiotherapy (dpeaa)DE-He213 Apparent diffusion coefficient (dpeaa)DE-He213 Nomogram (dpeaa)DE-He213 Cervical cancer (dpeaa)DE-He213 Jiang, Huali verfasserin aut Mai, Hui verfasserin aut Xiang, Jialin verfasserin aut Li, Jiansheng verfasserin aut Huang, Zhiqing verfasserin aut Wu, Songxin verfasserin aut Luo, Liangping verfasserin aut Jiang, Kuiming verfasserin aut Enthalten in Cancer imaging London, 2000 20(2020), 1 vom: 23. Okt. (DE-627)36374732X (DE-600)2104862-9 1470-7330 nnns volume:20 year:2020 number:1 day:23 month:10 https://dx.doi.org/10.1186/s40644-020-00353-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2020 1 23 10 |
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10.1186/s40644-020-00353-8 doi (DE-627)SPR041539974 (SPR)s40644-020-00353-8-e DE-627 ger DE-627 rakwb eng 610 ASE Zhong, Xi verfasserin aut Radiation-induced occult insufficiency fracture or bone metastasis after radiotherapy for cervical cancer? The nomogram based on quantitative apparent diffusion coefficients for discrimination 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Radiation-induced insufficiency fractures (IF) is frequently occult without fracture line, which may be mistaken as metastasis. Quantitative apparent diffusion coefficient (ADC) shows potential value for characterization of benign and malignant bone marrow diseases. The purpose of this study was to develop a nomogram based on multi-parametric ADCs in the differntiation of occult IF from bone metastasis after radiotherapy (RT) for cervical cancer. Methods This study included forty-seven patients with cervical cancer that showed emerging new bone lesions in RT field during the follow-up. Multi-parametric quantitative ADC values were measured for each lesion by manually setting region of interests (ROIs) on ADC maps, and the ROIs were copied to adjacent normal muscle and bone marrow. Six parameters were calculated, including $ ADC_{mean} $, $ ADC_{min} $, $ ADC_{max} $, $ ADC_{std} $, $ ADC_{mean} $ ratio (lesion/normal bone) and $ ADC_{mean} $ ratio (lesion/muscle). For univariate analysis, receiver operating characteristic curve (ROC) analysis was performed to assess the performance. For combined diagnosis, a nomogram model was developed by using a multivariate logistic regression analysis. Results A total of 75 bone lesions were identified, including 48 occult IFs and 27 bone metastases. There were significant differences in the six ADC parameters between occult IFs and bone metastases (p < 0.05), the ADC ratio (lesion/ muscle) showed an optimal diagnostic efficacy, with an area under ROC (AUC) of 0.887, the sensitivity of 95.8%, the specificity of 81.5%, respectively. Regarding combined diagnosis, $ ADC_{std} $ and $ ADC_{mean} $ ratio (lesion/muscle) were identified as independent factors and were selected to generate a nomogram model. The nomogram model showed a better performance, yielded an AUC of 0.92, the sensitivity of 91.7%, the specificity of 96.3%, positive predictive value (PPV) of 97.8% and negative predictive value (NPV) of 86.7%, respectively. Conclusions Multi-parametric ADC values demonstrate potential value for differentiating occult IFs from bone metastasis, a nomogram based on the combination of $ ADC_{std} $ and $ ADC_{mean} $ ratio (lesion/muscle) may provide an improved classification performance. Insufficiency fracture (dpeaa)DE-He213 Radiotherapy (dpeaa)DE-He213 Apparent diffusion coefficient (dpeaa)DE-He213 Nomogram (dpeaa)DE-He213 Cervical cancer (dpeaa)DE-He213 Jiang, Huali verfasserin aut Mai, Hui verfasserin aut Xiang, Jialin verfasserin aut Li, Jiansheng verfasserin aut Huang, Zhiqing verfasserin aut Wu, Songxin verfasserin aut Luo, Liangping verfasserin aut Jiang, Kuiming verfasserin aut Enthalten in Cancer imaging London, 2000 20(2020), 1 vom: 23. Okt. (DE-627)36374732X (DE-600)2104862-9 1470-7330 nnns volume:20 year:2020 number:1 day:23 month:10 https://dx.doi.org/10.1186/s40644-020-00353-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2020 1 23 10 |
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10.1186/s40644-020-00353-8 doi (DE-627)SPR041539974 (SPR)s40644-020-00353-8-e DE-627 ger DE-627 rakwb eng 610 ASE Zhong, Xi verfasserin aut Radiation-induced occult insufficiency fracture or bone metastasis after radiotherapy for cervical cancer? The nomogram based on quantitative apparent diffusion coefficients for discrimination 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Radiation-induced insufficiency fractures (IF) is frequently occult without fracture line, which may be mistaken as metastasis. Quantitative apparent diffusion coefficient (ADC) shows potential value for characterization of benign and malignant bone marrow diseases. The purpose of this study was to develop a nomogram based on multi-parametric ADCs in the differntiation of occult IF from bone metastasis after radiotherapy (RT) for cervical cancer. Methods This study included forty-seven patients with cervical cancer that showed emerging new bone lesions in RT field during the follow-up. Multi-parametric quantitative ADC values were measured for each lesion by manually setting region of interests (ROIs) on ADC maps, and the ROIs were copied to adjacent normal muscle and bone marrow. Six parameters were calculated, including $ ADC_{mean} $, $ ADC_{min} $, $ ADC_{max} $, $ ADC_{std} $, $ ADC_{mean} $ ratio (lesion/normal bone) and $ ADC_{mean} $ ratio (lesion/muscle). For univariate analysis, receiver operating characteristic curve (ROC) analysis was performed to assess the performance. For combined diagnosis, a nomogram model was developed by using a multivariate logistic regression analysis. Results A total of 75 bone lesions were identified, including 48 occult IFs and 27 bone metastases. There were significant differences in the six ADC parameters between occult IFs and bone metastases (p < 0.05), the ADC ratio (lesion/ muscle) showed an optimal diagnostic efficacy, with an area under ROC (AUC) of 0.887, the sensitivity of 95.8%, the specificity of 81.5%, respectively. Regarding combined diagnosis, $ ADC_{std} $ and $ ADC_{mean} $ ratio (lesion/muscle) were identified as independent factors and were selected to generate a nomogram model. The nomogram model showed a better performance, yielded an AUC of 0.92, the sensitivity of 91.7%, the specificity of 96.3%, positive predictive value (PPV) of 97.8% and negative predictive value (NPV) of 86.7%, respectively. Conclusions Multi-parametric ADC values demonstrate potential value for differentiating occult IFs from bone metastasis, a nomogram based on the combination of $ ADC_{std} $ and $ ADC_{mean} $ ratio (lesion/muscle) may provide an improved classification performance. Insufficiency fracture (dpeaa)DE-He213 Radiotherapy (dpeaa)DE-He213 Apparent diffusion coefficient (dpeaa)DE-He213 Nomogram (dpeaa)DE-He213 Cervical cancer (dpeaa)DE-He213 Jiang, Huali verfasserin aut Mai, Hui verfasserin aut Xiang, Jialin verfasserin aut Li, Jiansheng verfasserin aut Huang, Zhiqing verfasserin aut Wu, Songxin verfasserin aut Luo, Liangping verfasserin aut Jiang, Kuiming verfasserin aut Enthalten in Cancer imaging London, 2000 20(2020), 1 vom: 23. Okt. (DE-627)36374732X (DE-600)2104862-9 1470-7330 nnns volume:20 year:2020 number:1 day:23 month:10 https://dx.doi.org/10.1186/s40644-020-00353-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2020 1 23 10 |
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10.1186/s40644-020-00353-8 doi (DE-627)SPR041539974 (SPR)s40644-020-00353-8-e DE-627 ger DE-627 rakwb eng 610 ASE Zhong, Xi verfasserin aut Radiation-induced occult insufficiency fracture or bone metastasis after radiotherapy for cervical cancer? The nomogram based on quantitative apparent diffusion coefficients for discrimination 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Radiation-induced insufficiency fractures (IF) is frequently occult without fracture line, which may be mistaken as metastasis. Quantitative apparent diffusion coefficient (ADC) shows potential value for characterization of benign and malignant bone marrow diseases. The purpose of this study was to develop a nomogram based on multi-parametric ADCs in the differntiation of occult IF from bone metastasis after radiotherapy (RT) for cervical cancer. Methods This study included forty-seven patients with cervical cancer that showed emerging new bone lesions in RT field during the follow-up. Multi-parametric quantitative ADC values were measured for each lesion by manually setting region of interests (ROIs) on ADC maps, and the ROIs were copied to adjacent normal muscle and bone marrow. Six parameters were calculated, including $ ADC_{mean} $, $ ADC_{min} $, $ ADC_{max} $, $ ADC_{std} $, $ ADC_{mean} $ ratio (lesion/normal bone) and $ ADC_{mean} $ ratio (lesion/muscle). For univariate analysis, receiver operating characteristic curve (ROC) analysis was performed to assess the performance. For combined diagnosis, a nomogram model was developed by using a multivariate logistic regression analysis. Results A total of 75 bone lesions were identified, including 48 occult IFs and 27 bone metastases. There were significant differences in the six ADC parameters between occult IFs and bone metastases (p < 0.05), the ADC ratio (lesion/ muscle) showed an optimal diagnostic efficacy, with an area under ROC (AUC) of 0.887, the sensitivity of 95.8%, the specificity of 81.5%, respectively. Regarding combined diagnosis, $ ADC_{std} $ and $ ADC_{mean} $ ratio (lesion/muscle) were identified as independent factors and were selected to generate a nomogram model. The nomogram model showed a better performance, yielded an AUC of 0.92, the sensitivity of 91.7%, the specificity of 96.3%, positive predictive value (PPV) of 97.8% and negative predictive value (NPV) of 86.7%, respectively. Conclusions Multi-parametric ADC values demonstrate potential value for differentiating occult IFs from bone metastasis, a nomogram based on the combination of $ ADC_{std} $ and $ ADC_{mean} $ ratio (lesion/muscle) may provide an improved classification performance. Insufficiency fracture (dpeaa)DE-He213 Radiotherapy (dpeaa)DE-He213 Apparent diffusion coefficient (dpeaa)DE-He213 Nomogram (dpeaa)DE-He213 Cervical cancer (dpeaa)DE-He213 Jiang, Huali verfasserin aut Mai, Hui verfasserin aut Xiang, Jialin verfasserin aut Li, Jiansheng verfasserin aut Huang, Zhiqing verfasserin aut Wu, Songxin verfasserin aut Luo, Liangping verfasserin aut Jiang, Kuiming verfasserin aut Enthalten in Cancer imaging London, 2000 20(2020), 1 vom: 23. Okt. (DE-627)36374732X (DE-600)2104862-9 1470-7330 nnns volume:20 year:2020 number:1 day:23 month:10 https://dx.doi.org/10.1186/s40644-020-00353-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2020 1 23 10 |
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Quantitative apparent diffusion coefficient (ADC) shows potential value for characterization of benign and malignant bone marrow diseases. The purpose of this study was to develop a nomogram based on multi-parametric ADCs in the differntiation of occult IF from bone metastasis after radiotherapy (RT) for cervical cancer. Methods This study included forty-seven patients with cervical cancer that showed emerging new bone lesions in RT field during the follow-up. Multi-parametric quantitative ADC values were measured for each lesion by manually setting region of interests (ROIs) on ADC maps, and the ROIs were copied to adjacent normal muscle and bone marrow. Six parameters were calculated, including $ ADC_{mean} $, $ ADC_{min} $, $ ADC_{max} $, $ ADC_{std} $, $ ADC_{mean} $ ratio (lesion/normal bone) and $ ADC_{mean} $ ratio (lesion/muscle). For univariate analysis, receiver operating characteristic curve (ROC) analysis was performed to assess the performance. For combined diagnosis, a nomogram model was developed by using a multivariate logistic regression analysis. Results A total of 75 bone lesions were identified, including 48 occult IFs and 27 bone metastases. There were significant differences in the six ADC parameters between occult IFs and bone metastases (p < 0.05), the ADC ratio (lesion/ muscle) showed an optimal diagnostic efficacy, with an area under ROC (AUC) of 0.887, the sensitivity of 95.8%, the specificity of 81.5%, respectively. Regarding combined diagnosis, $ ADC_{std} $ and $ ADC_{mean} $ ratio (lesion/muscle) were identified as independent factors and were selected to generate a nomogram model. The nomogram model showed a better performance, yielded an AUC of 0.92, the sensitivity of 91.7%, the specificity of 96.3%, positive predictive value (PPV) of 97.8% and negative predictive value (NPV) of 86.7%, respectively. 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Radiation-induced occult insufficiency fracture or bone metastasis after radiotherapy for cervical cancer? The nomogram based on quantitative apparent diffusion coefficients for discrimination |
| abstract |
Background Radiation-induced insufficiency fractures (IF) is frequently occult without fracture line, which may be mistaken as metastasis. Quantitative apparent diffusion coefficient (ADC) shows potential value for characterization of benign and malignant bone marrow diseases. The purpose of this study was to develop a nomogram based on multi-parametric ADCs in the differntiation of occult IF from bone metastasis after radiotherapy (RT) for cervical cancer. Methods This study included forty-seven patients with cervical cancer that showed emerging new bone lesions in RT field during the follow-up. Multi-parametric quantitative ADC values were measured for each lesion by manually setting region of interests (ROIs) on ADC maps, and the ROIs were copied to adjacent normal muscle and bone marrow. Six parameters were calculated, including $ ADC_{mean} $, $ ADC_{min} $, $ ADC_{max} $, $ ADC_{std} $, $ ADC_{mean} $ ratio (lesion/normal bone) and $ ADC_{mean} $ ratio (lesion/muscle). For univariate analysis, receiver operating characteristic curve (ROC) analysis was performed to assess the performance. For combined diagnosis, a nomogram model was developed by using a multivariate logistic regression analysis. Results A total of 75 bone lesions were identified, including 48 occult IFs and 27 bone metastases. There were significant differences in the six ADC parameters between occult IFs and bone metastases (p < 0.05), the ADC ratio (lesion/ muscle) showed an optimal diagnostic efficacy, with an area under ROC (AUC) of 0.887, the sensitivity of 95.8%, the specificity of 81.5%, respectively. Regarding combined diagnosis, $ ADC_{std} $ and $ ADC_{mean} $ ratio (lesion/muscle) were identified as independent factors and were selected to generate a nomogram model. The nomogram model showed a better performance, yielded an AUC of 0.92, the sensitivity of 91.7%, the specificity of 96.3%, positive predictive value (PPV) of 97.8% and negative predictive value (NPV) of 86.7%, respectively. Conclusions Multi-parametric ADC values demonstrate potential value for differentiating occult IFs from bone metastasis, a nomogram based on the combination of $ ADC_{std} $ and $ ADC_{mean} $ ratio (lesion/muscle) may provide an improved classification performance. |
| abstractGer |
Background Radiation-induced insufficiency fractures (IF) is frequently occult without fracture line, which may be mistaken as metastasis. Quantitative apparent diffusion coefficient (ADC) shows potential value for characterization of benign and malignant bone marrow diseases. The purpose of this study was to develop a nomogram based on multi-parametric ADCs in the differntiation of occult IF from bone metastasis after radiotherapy (RT) for cervical cancer. Methods This study included forty-seven patients with cervical cancer that showed emerging new bone lesions in RT field during the follow-up. Multi-parametric quantitative ADC values were measured for each lesion by manually setting region of interests (ROIs) on ADC maps, and the ROIs were copied to adjacent normal muscle and bone marrow. Six parameters were calculated, including $ ADC_{mean} $, $ ADC_{min} $, $ ADC_{max} $, $ ADC_{std} $, $ ADC_{mean} $ ratio (lesion/normal bone) and $ ADC_{mean} $ ratio (lesion/muscle). For univariate analysis, receiver operating characteristic curve (ROC) analysis was performed to assess the performance. For combined diagnosis, a nomogram model was developed by using a multivariate logistic regression analysis. Results A total of 75 bone lesions were identified, including 48 occult IFs and 27 bone metastases. There were significant differences in the six ADC parameters between occult IFs and bone metastases (p < 0.05), the ADC ratio (lesion/ muscle) showed an optimal diagnostic efficacy, with an area under ROC (AUC) of 0.887, the sensitivity of 95.8%, the specificity of 81.5%, respectively. Regarding combined diagnosis, $ ADC_{std} $ and $ ADC_{mean} $ ratio (lesion/muscle) were identified as independent factors and were selected to generate a nomogram model. The nomogram model showed a better performance, yielded an AUC of 0.92, the sensitivity of 91.7%, the specificity of 96.3%, positive predictive value (PPV) of 97.8% and negative predictive value (NPV) of 86.7%, respectively. Conclusions Multi-parametric ADC values demonstrate potential value for differentiating occult IFs from bone metastasis, a nomogram based on the combination of $ ADC_{std} $ and $ ADC_{mean} $ ratio (lesion/muscle) may provide an improved classification performance. |
| abstract_unstemmed |
Background Radiation-induced insufficiency fractures (IF) is frequently occult without fracture line, which may be mistaken as metastasis. Quantitative apparent diffusion coefficient (ADC) shows potential value for characterization of benign and malignant bone marrow diseases. The purpose of this study was to develop a nomogram based on multi-parametric ADCs in the differntiation of occult IF from bone metastasis after radiotherapy (RT) for cervical cancer. Methods This study included forty-seven patients with cervical cancer that showed emerging new bone lesions in RT field during the follow-up. Multi-parametric quantitative ADC values were measured for each lesion by manually setting region of interests (ROIs) on ADC maps, and the ROIs were copied to adjacent normal muscle and bone marrow. Six parameters were calculated, including $ ADC_{mean} $, $ ADC_{min} $, $ ADC_{max} $, $ ADC_{std} $, $ ADC_{mean} $ ratio (lesion/normal bone) and $ ADC_{mean} $ ratio (lesion/muscle). For univariate analysis, receiver operating characteristic curve (ROC) analysis was performed to assess the performance. For combined diagnosis, a nomogram model was developed by using a multivariate logistic regression analysis. Results A total of 75 bone lesions were identified, including 48 occult IFs and 27 bone metastases. There were significant differences in the six ADC parameters between occult IFs and bone metastases (p < 0.05), the ADC ratio (lesion/ muscle) showed an optimal diagnostic efficacy, with an area under ROC (AUC) of 0.887, the sensitivity of 95.8%, the specificity of 81.5%, respectively. Regarding combined diagnosis, $ ADC_{std} $ and $ ADC_{mean} $ ratio (lesion/muscle) were identified as independent factors and were selected to generate a nomogram model. The nomogram model showed a better performance, yielded an AUC of 0.92, the sensitivity of 91.7%, the specificity of 96.3%, positive predictive value (PPV) of 97.8% and negative predictive value (NPV) of 86.7%, respectively. Conclusions Multi-parametric ADC values demonstrate potential value for differentiating occult IFs from bone metastasis, a nomogram based on the combination of $ ADC_{std} $ and $ ADC_{mean} $ ratio (lesion/muscle) may provide an improved classification performance. |
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Radiation-induced occult insufficiency fracture or bone metastasis after radiotherapy for cervical cancer? The nomogram based on quantitative apparent diffusion coefficients for discrimination |
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https://dx.doi.org/10.1186/s40644-020-00353-8 |
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Jiang, Huali Mai, Hui Xiang, Jialin Li, Jiansheng Huang, Zhiqing Wu, Songxin Luo, Liangping Jiang, Kuiming |
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Jiang, Huali Mai, Hui Xiang, Jialin Li, Jiansheng Huang, Zhiqing Wu, Songxin Luo, Liangping Jiang, Kuiming |
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Quantitative apparent diffusion coefficient (ADC) shows potential value for characterization of benign and malignant bone marrow diseases. The purpose of this study was to develop a nomogram based on multi-parametric ADCs in the differntiation of occult IF from bone metastasis after radiotherapy (RT) for cervical cancer. Methods This study included forty-seven patients with cervical cancer that showed emerging new bone lesions in RT field during the follow-up. Multi-parametric quantitative ADC values were measured for each lesion by manually setting region of interests (ROIs) on ADC maps, and the ROIs were copied to adjacent normal muscle and bone marrow. Six parameters were calculated, including $ ADC_{mean} $, $ ADC_{min} $, $ ADC_{max} $, $ ADC_{std} $, $ ADC_{mean} $ ratio (lesion/normal bone) and $ ADC_{mean} $ ratio (lesion/muscle). For univariate analysis, receiver operating characteristic curve (ROC) analysis was performed to assess the performance. 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