Dose–volume parameters of MRI-based active bone marrow predict hematologic toxicity of chemoradiotherapy for rectal cancer
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1439-099X
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Dose–volume parameters of MRI-based active bone marrow predict hematologic toxicity of chemoradiotherapy for rectal cancer ; day:3 ; month:7 ; year:2020 ; pages:1-8
Strahlentherapie und Onkologie ; (3.7.2020), 1-8
- Creator
-
Kuncman, Łukasz
Stawiski, Konrad
Masłowski, Michał
Kucharz, Jakub
Fijuth, Jacek
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s00066-020-01659-z
- URN
-
urn:nbn:de:101:1-2020083119244107952436
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:04 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kuncman, Łukasz
- Stawiski, Konrad
- Masłowski, Michał
- Kucharz, Jakub
- Fijuth, Jacek
- SpringerLink (Online service)
Other Objects (12)
Evaluating treatment response to neoadjuvant chemoradiotherapy in rectal cancer using various MRI-based radiomics models
Prediction of Response to Neoadjuvant Chemoradiotherapy by MRI-Based Machine Learning Texture Analysis in Rectal Cancer Patients
Multiparametric MRI-based radiomic model for predicting lymph node metastasis after neoadjuvant chemoradiotherapy in locally advanced rectal cancer
Timing of surgery following chemoradiotherapy in rectal Cancer
Association of effective dose to immune cells and vertebral marrow dose with hematologic toxicity during neoadjuvant chemoradiotherapy in esophageal squamous cell carcinoma
Sarcopenia is associated with hematologic toxicity during chemoradiotherapy in patients with anal carcinoma
Clinical outcomes of chemoradiotherapy for locally recurrent rectal cancer
Sphincter preservation in distal CT2N0 rectal cancer after preoperative chemoradiotherapy
Multimodal MRI-based deep-radiomics model predicts response in cervical cancer treated with neoadjuvant chemoradiotherapy
MRI-based Radiomics nomogram to detect primary rectal cancer with synchronous liver metastases
High resolution MRI-based radiomic nomogram in predicting perineural invasion in rectal cancer
Predicting pathological complete response following neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer using merged model integrating MRI-based radiomics and deep learning data
Evaluating treatment response to neoadjuvant chemoradiotherapy in rectal cancer using various MRI-based radiomics models
Prediction of Response to Neoadjuvant Chemoradiotherapy by MRI-Based Machine Learning Texture Analysis in Rectal Cancer Patients
Multiparametric MRI-based radiomic model for predicting lymph node metastasis after neoadjuvant chemoradiotherapy in locally advanced rectal cancer
Timing of surgery following chemoradiotherapy in rectal Cancer
Association of effective dose to immune cells and vertebral marrow dose with hematologic toxicity during neoadjuvant chemoradiotherapy in esophageal squamous cell carcinoma
Sarcopenia is associated with hematologic toxicity during chemoradiotherapy in patients with anal carcinoma
Clinical outcomes of chemoradiotherapy for locally recurrent rectal cancer
Sphincter preservation in distal CT2N0 rectal cancer after preoperative chemoradiotherapy
Multimodal MRI-based deep-radiomics model predicts response in cervical cancer treated with neoadjuvant chemoradiotherapy
MRI-based Radiomics nomogram to detect primary rectal cancer with synchronous liver metastases
High resolution MRI-based radiomic nomogram in predicting perineural invasion in rectal cancer
Predicting pathological complete response following neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer using merged model integrating MRI-based radiomics and deep learning data
Evaluating treatment response to neoadjuvant chemoradiotherapy in rectal cancer using various MRI-based radiomics models
Prediction of Response to Neoadjuvant Chemoradiotherapy by MRI-Based Machine Learning Texture Analysis in Rectal Cancer Patients
Multiparametric MRI-based radiomic model for predicting lymph node metastasis after neoadjuvant chemoradiotherapy in locally advanced rectal cancer
Timing of surgery following chemoradiotherapy in rectal Cancer
Association of effective dose to immune cells and vertebral marrow dose with hematologic toxicity during neoadjuvant chemoradiotherapy in esophageal squamous cell carcinoma
Sarcopenia is associated with hematologic toxicity during chemoradiotherapy in patients with anal carcinoma
Clinical outcomes of chemoradiotherapy for locally recurrent rectal cancer
Sphincter preservation in distal CT2N0 rectal cancer after preoperative chemoradiotherapy
Multimodal MRI-based deep-radiomics model predicts response in cervical cancer treated with neoadjuvant chemoradiotherapy
MRI-based Radiomics nomogram to detect primary rectal cancer with synchronous liver metastases
High resolution MRI-based radiomic nomogram in predicting perineural invasion in rectal cancer