Esophageal wall dose-surface maps do not improve the predictive performance of a multivariable NTCP model for acute esophageal toxicity in advanced stage NSCLC patients treated with intensity-modulated (chemo-)radiotherapy
| Autor: | Esther G.C. Troost, René Monshouwer, Johan Bussink, Aswin L. Hoffmann, Frank J. W. M. Dankers, R. Wijsman |
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| Přispěvatelé: | Promovendi ODB, Radiotherapie, RS: GROW - R3 - Innovative Cancer Diagnostics & Therapy |
| Rok vydání: | 2017 |
| Předmět: |
EXTERNAL VALIDATION
Lung Neoplasms Neoplasms Radiation-Induced esophagitis Esophageal Neoplasms MOTION medicine.medical_treatment radiotherapy planning system NTCP Logistic regression lung tumor 030218 nuclear medicine & medical imaging radiotherapy dosage 0302 clinical medicine Non-small cell lung cancer Carcinoma Non-Small-Cell Lung middle aged dose maps Univariate analysis Radiological and Ultrasound Technology adult Multivariable calculus Area under the curve predictive models PROSTATE-CANCER aged female medicine.anatomical_structure 030220 oncology & carcinogenesis Radiology Rare cancers Radboud Institute for Health Sciences [Radboudumc 9] medicine.medical_specialty radiation response CELL LUNG-CANCER 3-DIMENSIONAL CONFORMAL RADIOTHERAPY 03 medical and health sciences Text mining male RADIATION-THERAPY medicine Humans radiation induced neoplasm esophagus tumor Radiology Nuclear Medicine and imaging human procedures IMRT Esophagus non-small cell lung cancer esophagus non small cell lung cancer business.industry Radiotherapy Planning Computer-Assisted Univariate CONCURRENT CHEMOTHERAPY QUANTIFICATION Surgery Radiation therapy highly conformal radiation therapy RISK-FACTORS adverse effects Radiotherapy Conformal conformal radiotherapy business |
| Zdroj: | Physics in Medicine and Biology, 62, 9, pp. 3668-3681 Physics in Medicine and Biology, 62, 3668-3681 Physics in Medicine and Biology, 62(9), 3668-3681. IOP Publishing Ltd. Physics in Medicine and Biology, 62(9), 3668-3681. IOP PUBLISHING LTD Physics in Medicine and Biology 62(2017)9, 3668-3681 |
| ISSN: | 1361-6560 0031-9155 |
| DOI: | 10.1088/1361-6560/aa5e9e |
| Popis: | Item does not contain fulltext In our previous work, a multivariable normal-tissue complication probability (NTCP) model for acute esophageal toxicity (AET) Grade 2 after highly conformal (chemo-)radiotherapy for non-small cell lung cancer (NSCLC) was developed using multivariable logistic regression analysis incorporating clinical parameters and mean esophageal dose (MED). Since the esophagus is a tubular organ, spatial information of the esophageal wall dose distribution may be important in predicting AET. We investigated whether the incorporation of esophageal wall dose-surface data with spatial information improves the predictive power of our established NTCP model. For 149 NSCLC patients treated with highly conformal radiation therapy esophageal wall dose-surface histograms (DSHs) and polar dose-surface maps (DSMs) were generated. DSMs were used to generate new DSHs and dose-length-histograms that incorporate spatial information of the dose-surface distribution. From these histograms dose parameters were derived and univariate logistic regression analysis showed that they correlated significantly with AET. Following our previous work, new multivariable NTCP models were developed using the most significant dose histogram parameters based on univariate analysis (19 in total). However, the 19 new models incorporating esophageal wall dose-surface data with spatial information did not show improved predictive performance (area under the curve, AUC range 0.79-0.84) over the established multivariable NTCP model based on conventional dose-volume data (AUC = 0.84). For prediction of AET, based on the proposed multivariable statistical approach, spatial information of the esophageal wall dose distribution is of no added value and it is sufficient to only consider MED as a predictive dosimetric parameter. |
| Databáze: | OpenAIRE |
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