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Diffusion-weighted MRI for predicting treatment response in patients with nasopharyngeal carcinoma: a systematic review and meta-analysis
- Source :
- Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021), Scientific Reports
- Publication Year :
- 2021
- Publisher :
- Nature Portfolio, 2021.
-
Abstract
- Early prediction of treatment response in nasopharyngeal carcinoma is clinically relevant for optimizing treatment strategies. This meta-analysis was performed to evaluate whether apparent diffusion coefficient (ADC) from diffusion-weighted imaging (DWI) can predict treatment response of patients with nasopharyngeal carcinoma. A systematic search of PubMed-MEDLINE and Embase was performed to identify relevant original articles until July 22, 2021. We included studies which performed DWI for predicting locoregional treatment response in nasopharyngeal carcinoma treated with neoadjuvant chemotherapy, definitive chemoradiation, or radiation therapy. Hazard ratios were meta-analytically pooled using a random-effects model for the pooled estimates of overall survival, local relapse-free survival, distant metastasis-free survival and their 95% CIs. ADC showed a pooled sensitivity of 87% (95% CI 72–94%) and specificity of 70% (95% CI 56–80%) for predicting treatment response. Significant between-study heterogeneity was observed for both pooled sensitivity (I2 = 68.5%) and specificity (I2 = 92.2%) (P
- Subjects :
- Oncology
medicine.medical_specialty
medicine.medical_treatment
Science
Risk Assessment
Disease-Free Survival
Article
Predictive Value of Tests
Internal medicine
Nasopharynx
medicine
Effective diffusion coefficient
Humans
In patient
Head and neck cancer
Cancer
Chemotherapy
Multidisciplinary
Nasopharyngeal Carcinoma
business.industry
Hazard ratio
Nasopharyngeal Neoplasms
Chemoradiotherapy
medicine.disease
Prognosis
Neoadjuvant Therapy
Radiation therapy
Diffusion Magnetic Resonance Imaging
Nasopharyngeal carcinoma
Meta-analysis
Feasibility Studies
Medicine
Cancer imaging
Neoplasm Recurrence, Local
business
Diffusion MRI
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 11
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....4bfacde3caf6c41ac904cded64cc8f7f