ArticleAnnals of nuclear medicine2022
Pretreatment [
Article in Annals of nuclear medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- The prognostic value of lymph node to primary tumor standardized uptake value ratio in cancer patients: a meta-analysis.Annals of nuclear medicine · 2024Pooled it
- Article
- Pretreatment nodal SUVmax predicts neck progression in hypopharyngeal cancer undergoing definitive chemoradiotherapy, while higher radiotherapy dose improves regional control particularly in the high SUV-N subgroup: a long-term outcome study.American journal of cancer research · 2026Article
- Automated segmentation of the primary tumor in nasopharyngeal carcinoma using a deep learning framework in positron emission tomography imaging: a comparative study.Quantitative imaging in medicine and surgery · 2025Article
- Enhanced detection of skull-base bone invasion in nasopharyngeal carcinoma: the supplementary diagnostic value ofQuantitative imaging in medicine and surgery · 2024Article
- Intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) combined with conventional MRI for the detection of skull-base invasion in nasopharyngeal carcinoma: comparison withQuantitative imaging in medicine and surgery · 2024Article
- From pixels to predictions: the scrying power of molecular imaging.European journal of nuclear medicine and molecular imaging · 2024Article
- Multi-task deep learning-based radiomic nomogram for prognostic prediction in locoregionally advanced nasopharyngeal carcinoma.European journal of nuclear medicine and molecular imaging · 2023Article
- Multimodality radiomics analysis based on [European radiology · 2023Article
- Epidemiological, Clinicopathological and Prognosis Features of Moroccan Patients with Nasopharyngeal Carcinoma.Asian Pacific journal of cancer prevention : APJCP · 2023Article
- Article
- Impairment mechanism of nasal mucosa after radiotherapy for nasopharyngeal carcinoma.Frontiers in oncology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
objectiveThe present study aimed to assess the prognostic interest of metabolic and anatomic parameters derived from 2-deoxy-2-[
methodsIn this study, pre-treatment [
resultsOur results revealed a significant association between pre-treatment nodal-maximum standardized uptake value (N-SUV max) and N categories (p = 0.01), between pre-treatment node-to-tumor SUV ratio (NTR) and both tumor size (p = 0.01) and N categories (p = 0.009), as well as between metabolic tumor volume (MTV) and both tumor size and NPC overall stage (p < 0.000). In multivariate analyses, pre-treatment N-SUV max, NTR and MTV were significant independent predictors of overall survival, distant metastasis-free survival, and progression-free survival (PFS) (p < 0.05). N-SUV max and MTV were also found to be significant independent predictors of loco-regional recurrence-free survival (p < 0.05), whereas HN-MRI detection of skull-base bone invasion was an independent factor associated with worse PFS in NPC (p = 0.03).
conclusionsThe present study highlights N-SUV max, NTR and MTV derived from [
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.