Abstract 3944
Background
We initially ascertained the value of inflammatory indexes in predicting severe acute radiation pneumonitis (SARP). Furthermore, we firstly built a novel nomogram and risk classification system integrating clinicopathological, dosimetric and biological parameters to individually and precisely identify SARP in patients with esophageal cancer (EC) who received radiotherapy (RT).
Methods
All data were collected from 312 EC patients. Logistic regression was used to choose predictors of SARP and then build nomogram. The validation of nomogram was performed by area under the ROC curve (AUC), calibration curves and decision curve analyses (DCA). A risk classification system was generated by recursive partitioning analysis (RPA).
Results
The Subjective Global Assessment (SGA) score, pulmonary fibrosis score (PFS), planning target volume/total lungs volume (PTV/LV), mean lung dose (MLD) and systemic immuneinflammation index (SII) were independent predictors of SARP and finally incorporated into the nomogram. The AUC of nomogram for SARP prediction was 0.852, which was much higher than any other factor (range, 0.604-0.712). Calibration curves indicated favorable consistency between the nomogram prediction and the actual outcomes. DCA exhibited satisfactory clinical utility. A risk classification system was built to perfectly divide patients into three risk groups which were low-risk group (7.1%, score 0–158), intermediate-risk group (38%, score 159–280), and high-risk group (71.4%, score>280).
Conclusions
SGA score, PFS, PTV/LV, MLD and SII were potential valuable markers in predicting SARP. The constructed nomogram and corresponding risk classification system with superior prediction ability for SARP could assist in patients counseling and guide treatment decision making.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
3905 - Loss of CDX-2 expression is an independent poor prognostic biomarker in colorectal cancer
Presenter: Krittiya Korphaisarn
Session: Poster Display session 2
Resources:
Abstract
3963 - Robot-assisted natural orifice specimen extraction surgery for radical resection of colorectal cancer
Presenter: Zhengchuan Niu
Session: Poster Display session 2
Resources:
Abstract
3989 - Bevacizumab as adjuvant treatment for colon cancer: Updated results from the AVANT phase III Study by the GERCOR Group
Presenter: Thierry André
Session: Poster Display session 2
Resources:
Abstract
4741 - Real world data on adjuvant chemotherapy for high-risk stage II colorectal cancer – the role of tumor side
Presenter: Camila Araujo de Carvalho
Session: Poster Display session 2
Resources:
Abstract
4973 - Oncological Outcome and Safety of Bevacizumab (BV) Therapy in Patients with Occlusive Colon Cancer and Self-Expandable Metal Stents (SEMS)
Presenter: Vilma Pacheco-Barcia
Session: Poster Display session 2
Resources:
Abstract
2295 - Active chronic hepatitis B increases the risk of liver metastasis of colorectal cancer- a retrospective clinical study of 7187 consecutive cases of newly diagnosed colorectal cancer
Presenter: Lei Zhao
Session: Poster Display session 2
Resources:
Abstract
3845 - Comprehensive Evaluation of Recurrence Risk (CERR) Score for Colorectal Liver Metastases: Development and Validation
Presenter: Wei Ye
Session: Poster Display session 2
Resources:
Abstract
1976 - BRAF-mutated colorectal metastases: what is the benefit of liver surgery? Results from a cohort of 91 patients.
Presenter: Sahir Javed
Session: Poster Display session 2
Resources:
Abstract
2688 - The smallest colorectal liver metastasis size as a prognosis factor after laparoscopic liver resection
Presenter: Baptiste Cervantes
Session: Poster Display session 2
Resources:
Abstract
4961 - Validation of GAME score risk groups in resected colorectal cancer liver metastases and the prognostic relevance of KRAS, NRAS and BRAF mutation analysis
Presenter: Berta Martin-Cullell
Session: Poster Display session 2
Resources:
Abstract