Purpose: To examine the association between pre-radiation therapy (RT) fluorine 18 fluorodeoxyglucose (FDG) uptake and post-RT symptomatic radiation pneumonitis (RP).
Materials And Methods: In accordance with the retrospective study protocol approved by the institutional review board, 228 esophageal cancer patients who underwent FDG PET/CT before chemotherapy and RT were examined. RP symptoms were evaluated by using the Common Terminology Criteria for Adverse Events, version 4.0, from the consensus of five clinicians. By using the cumulative distribution of standardized uptake values (SUVs) within the lungs, those values greater than 80%-95% of the total lung voxels were determined for each patient. The effect of pre-chemotherapy and RT FDG uptake, dose, and patient or treatment characteristics on RP toxicity was studied by using logistic regression.
Results: The study subjects were treated with three-dimensional conformal RT (n = 36), intensity-modulated RT (n = 135), or proton therapy (n = 57). Logistic regression analysis demonstrated elevated FDG uptake at pre-chemotherapy and RT was related to expression of RP symptoms. Study subjects with elevated 95% percentile of the SUV (SUV95) were more likely to develop symptomatic RP (P < .000012); each 0.1 unit increase in SUV95 was associated with a 1.36-fold increase in the odds of symptomatic RP. Receiver operating characteristic (ROC) curve analysis resulted in area under the ROC curve of 0.676 (95% confidence interval: 0.58, 0.77), sensitivity of 60%, and specificity of 71% at the 1.17 SUV95 threshold. CT imaging and dosimetric parameters were found to be poor predictors of RP symptoms.
Conclusion: The SUV95, a biomarker of pretreatment pulmonary metabolic activity, was shown to be prognostic of symptomatic RP. Elevation in this pretreatment biomarker identifies patients at high risk for posttreatment symptomatic RP.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4450911 | PMC |
| http://dx.doi.org/10.1148/radiol.14140457 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Relationship between muscular mass, inflammatory status, tumor metabolic activity and oral intake in head and neck cancer at the outset of management.
Clin Nutr ESPEN
January 2025
Service d'orl et chirurgie cervico-faciale, CHU de Clermont-Ferrand, 58 rue Montalembert, 63000 Clermont-Ferrand, France; Unité de Nutrition Humaine (UNH), Université Clermont Auvergne, INRAE, CRNH Auvergne, 58 rue Montalembert, 63000 Clermont-Ferrand, France. Electronic address:
Background And Aims: Patients with head and neck cancer (HNC) are often malnourished with a low muscular mass at the outset of management. This is thought to be mainly due to poor nutritional intake. The aim of this study was to assess the correlation between tumor metabolic activity, inflammatory status and body composition in HNC patients.
View Article and Find Full Text PDFCombined Klippel-Feil syndrome, Sprengel deformity, and diffuse large B-cell lymphoma: A rare case report.
Radiol Case Rep
March 2025
Loyola University Medical Center and Loyola University Chicago, 2160 S First Ave, Maywood, IL 60153, USA.
Klippel-Feil syndrome (KFS) is a rare congenital disorder characterized by the fusion of cervical vertebrae, with a clinical presentation that can vary widely due to genetic and phenotypic diversity. While KFS can occur as an isolated anomaly, it is often associated with other congenital conditions, such as Sprengel deformity, which may present with or without an omovertebral bone, complicating diagnosis and management. This particular case also involves diffuse large B-cell lymphoma (DLBCL), the most common subtype of non-Hodgkin lymphoma.
View Article and Find Full Text PDFDiffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin lymphoma, and a sizable fraction of the DLBCL patients presents with advanced, relapsed, and refractory disease, demonstrating poor response to standard chemotherapy regimens. Radioimmunotherapy (RIT) has shown to be clinically effective in refractory DLBCL. We present the case of a patient with DLBCL with [18F]FDG-avid widespread skeletal as well as splenic involvement as poor prognostic extranodal disease on FDG PET/CT.
View Article and Find Full Text PDFF-FDG PET/CT radiomic analysis and artificial intelligence to predict pathological complete response after neoadjuvant chemotherapy in breast cancer patients.
Radiol Med
January 2025
Department of Translational Medicine, University of Ferrara, Ferrara, Italy.
Purpose: Build machine learning (ML) models able to predict pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer (BC) patients based on conventional and radiomic signatures extracted from baseline [F]FDG PET/CT.
Material And Methods: Primary tumor and the most significant lymph node metastasis were manually segmented in baseline [F]FDG PET/CT of 52 newly diagnosed BC patients. Clinical parameters, NAC and conventional semiquantitative PET parameters were collected.
F-18 FDG PET/CT based Preoperative Machine Learning Prediction Models for Evaluating Regional Lymph Node Metastasis Status of Patients with Colon Cancer.
Asian Pac J Cancer Prev
January 2025
Department of Nuclear Medicine, Busan Paik Hospital, University of Inje College of Medicine, Busan, Republic of Korea.
Objective: This study aimed to develop a simple machine-learning model incorporating lymph node metastasis status with F-18 Fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) and clinical information for predicting regional lymph node metastasis in patients with colon cancer.
Methods: This retrospective study included 193 patients diagnosed with colon cancer between January 2014 and December 2017. All patients underwent F-18 FDG PET/CT and blood test before surgery.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!