A dynamic nomogram predicting symptomatic pneumonia in patients with lung cancer receiving thoracic radiation
Abstract Purpose The most common and potentially fatal side effect of thoracic radiation therapy is radiation pneumonitis (RP). Due to the lack of effective treatments, predicting radiation pneumonitis is crucial. This study aimed to develop a dynamic nomogram to accurately predict symptomatic pneum...
Main Authors: | Yawen Zha, Jingjing Zhang, Xinyu Yan, Chen Yang, Lei Wen, Minying Li |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2024-02-01
|
Series: | BMC Pulmonary Medicine |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12890-024-02899-w |
Similar Items
-
A Novel Nomogram to Predict Symptomatic Intracranial Hemorrhage in Ischemic Stroke Patients After Intravenous Thrombolysis
by: Jiang Z, et al.
Published: (2023-11-01) -
A CT-based nomogram for differentiating invasive fungal disease of the lung from bacterial pneumonia
by: Meilin Gong, et al.
Published: (2022-10-01) -
Nomogram prediction model of postoperative pneumonia in patients with lung cancer: A retrospective cohort study
by: Fan Jin, et al.
Published: (2023-02-01) -
Construction of a Nomogram for Identifying Refractory Mycoplasma pneumoniae Pneumonia Among Macrolide-Unresponsive Mycoplasma pneumoniae Pneumonia in Children
by: Xie Q, et al.
Published: (2022-11-01) -
Construction and Validation of a Nomogram Model to Predict the Severity of Mycoplasma pneumoniae Pneumonia in Children
by: Li L, et al.
Published: (2024-02-01)