دورية أكاديمية
External validation of a lung cancer-based prediction model for two-year mortality in esophageal cancer patient cohorts.
| العنوان: | External validation of a lung cancer-based prediction model for two-year mortality in esophageal cancer patient cohorts. |
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| المؤلفون: | Berbée M; Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, the Netherlands. Electronic address: maaike.berbee@maastro.nl., Muijs CT; Department of Radiation Oncology, University Medical Center Groningen, Groningen, the Netherlands., Voncken FEM; Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands., Wee L; Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, the Netherlands., Sosef M; Department of Surgery, Zuyderland Medisch Centrum, Sittard-Geleen, the Netherlands., van Etten B; Department of Surgery, University Medical Center Groningen, Groningen, the Netherlands., van Sandick JW; Department of Surgery, Netherlands Cancer Institute, Amsterdam, the Netherlands., Warmerdam FARM; Department of Medical Oncology, Zuyderland Medisch Centrum, Sittard-Geleen, the Netherlands., de Haan JJ; Department of Medical Oncology, University Medical Center Groningen, Groningen, the Netherlands., Oldehinkel E; Department of Radiation Oncology, University Medical Center Groningen, Groningen, the Netherlands., van Dieren JM; Department of Gastroenterology, Netherlands Cancer Institute, Amsterdam, the Netherlands., Boersma L; Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, the Netherlands., Langendijk JA; Department of Radiation Oncology, University Medical Center Groningen, Groningen, the Netherlands., van der Schaaf A; Department of Radiation Oncology, University Medical Center Groningen, Groningen, the Netherlands., Reitsma JB; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands., Schuit E; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, the Netherlands. |
| المصدر: | Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology [Radiother Oncol] 2024 Jan; Vol. 190, pp. 109979. Date of Electronic Publication: 2023 Nov 09. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8407192 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0887 (Electronic) Linking ISSN: 01678140 NLM ISO Abbreviation: Radiother Oncol Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Limerick : Elsevier Scientific Publishers Original Publication: Amsterdam : Elsevier Science Publishers, c1983- |
| مواضيع طبية MeSH: | Lung Neoplasms*/radiotherapy , Lung Neoplasms*/pathology , Esophageal Neoplasms*/therapy, Humans |
| مستخلص: | Purpose/objective: Chemo-radiotherapy can improve the oncological outcome of esophageal cancer (EC) patients, but may cause long term radiation-induced toxicity, including an increased risk of non-cancer related death. For lung cancer patients, a model to predict 2-year total mortality using mean heart dose (MHD) and gross tumor volume (GTV) has previously been developed and validated. This project aimed to externally validate this model in EC patients. Methods: Five EC patient cohorts from 3 different Dutch centres were used for model validation. External validity of the model was assessed separately in definitive (n = 170) and neo-adjuvant (n = 568) chemoradiotherapy (dCRT and nCRT) patients. External validity was assessed in terms of calibration by calibration plots, calibration-in-the-large (CITL) and calibration slope (CS), and discrimination by assessment of the c-statistic. If suboptimal model performance was observed, the model was further updated accordingly. Results: For the dCRT patients, good calibration was found after adjustment of the intercept (CITL 0.00; CS 1.08). The c-statistic of the adjusted model was 0.67 (95%CI: 0.58 to 0.75). For nCRT patients the model needed adjustment of both the slope and the intercept because of initial miscalibration in the validation population (CITL 0.00; CS 1.72). After recalibration, the model showed perfect calibration (i.e., CITL 0, CS 1), as is common after recalibration. The c-statistic of the recalibrated model equaled 0.62 (95%CI: 0.57 to 0.67). Conclusion: The existing model for 2-year mortality prediction in lung cancer patients, based on the predictive factors MHD and GTV, showed good performance in EC patients after updating the intercept and/or slope of the original model. Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2023. Published by Elsevier B.V.) |
| فهرسة مساهمة: | Keywords: Esophageal cancer; Gross tumor volume; Mean heart dose; Prediction model; Two-year mortality |
| تواريخ الأحداث: | Date Created: 20231110 Date Completed: 20240220 Latest Revision: 20240226 |
| رمز التحديث: | 20240226 |
| DOI: | 10.1016/j.radonc.2023.109979 |
| PMID: | 37949374 |
| قاعدة البيانات: | MEDLINE |
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Full Text Finder | تدمد: | 1879-0887 |
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| DOI: | 10.1016/j.radonc.2023.109979 |