ArticleEJNMMI research2020
Article in EJNMMI research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03606070 (Multiparametric PET-MRI Integration for a New Approach to Tumor Heterogeneity in Non-Small Cell Lung Cancer), which is not on this map. Cited by 11 papers.
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.
Multiparametric PET-MRI Integration for a New Approach to Tumor Heterogeneity in Non-Small Cell Lung Cancer (NSCLC): Pilot Study
Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Neuro-immune contributors to persistent musculoskeletal pain: from mechanisms to clinical assessment and management.Musculoskeletal science & practice · 2026Review
- Multimodality and temporal analysis of cervical cancer treatment response.Quantitative imaging in medicine and surgery · 2026Article
- Fast 4D-PET parametric imaging computation at the whole field of view level: Reliability under simulated conditions of PET KinetiX, a dedicated software solution.European journal of nuclear medicine and molecular imaging · 2025Article
- The diagnostic and prognostic value of magnetic resonance imaging and computed tomography parameters in non-small cell lung cancer.Pakistan journal of medical sciences · 2025Article
- Optimising hypoxia PET imaging and its applications in guiding targeted radiation therapy for non-small cell lung cancer: a scoping review.Journal of medical radiation sciences · 2025Article
- Validation of Clinical Dynamic Contrast-Enhanced Magnetic Resonance Imaging Perfusion Modeling and Neoadjuvant Chemotherapy Response Prediction in Breast Cancer UsingJCO clinical cancer informatics · 2025Article
- [Advances in Pseudoprogression of Immune Checkpoint Inhibitors in Non-small Cell Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2024Review
- Dynamic 2-deoxy-D-glucose-enhanced multispectral optoacoustic tomography for assessing metabolism and vascular hemodynamics of breast cancer.Photoacoustics · 2023Article
- Potential biomarkers for predicting immune response and outcomes in lung cancer patients undergoing thermal ablation.Frontiers in immunology · 2023Review
- Pulmonary Functional Imaging: Part 1-State-of-the-Art Technical and Physiologic Underpinnings.Radiology · 2021Review
- PET Molecular Imaging: A Holistic Review of Current Practice and Emerging Perspectives for Diagnosis, Therapeutic Evaluation and Prognosis in Clinical Oncology.International journal of molecular sciences · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors at 5 institutions in 1 country.
Funding
Abstract
objectivesTo decipher the correlations between PET and DCE kinetic parameters in non-small-cell lung cancer (NSCLC), by using voxel-wise analysis of dynamic simultaneous [18F]FDG PET-MRI. MATERIAL AND
methodsFourteen treatment-naïve patients with biopsy-proven NSCLC prospectively underwent a 1-h dynamic [18F]FDG thoracic PET-MRI scan including DCE. The PET and DCE data were normalized to their corresponding T
resultsCurve-fitting metrics provided fit errors under 20% for almost 90% of the PET voxels (median rRMSE = 10.3, interquartile ranges IQR = 8.1; 14.3), whereas 73.3% of the DCE voxels showed fit errors under 45% (median rRMSE = 31.8%, IQR = 22.4; 46.6). The PET-PET, DCE-DCE, and PET-DCE voxel-wise correlations varied according to individual tumor behaviors. Beyond this wide variability, the PET-PET and DCE-DCE correlations were mainly high (absolute r
conclusionA dynamic "one-stop shop" procedure applied to NSCLC is technically feasible in clinical practice. PET and DCE kinetic parameters assessed simultaneously are not highly correlated in NSCLC, and these correlations showed a wide variability among tumors and patients. These results tend to suggest that PET and DCE kinetic parameters might provide complementary information. In the future, this might make PET-MRI a unique tool to characterize the individual tumor biological behavior in NSCLC.
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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.