Observational studyEuropean radiology2017
Dynamic contrast-enhanced MR imaging pharmacokinetic parameters as predictors of treatment response of brain metastases in patients with lung cancer.
Observational study in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02250755 (Comparison of MRI Sequences T1 and T2 * Cerebral Perfusion to Aid in the Diagnosis and Evaluation of Brain Therapeutic Response With Chemotherapy or Targeted Therapy), which is not on this map. Cited by 9 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.
Comparison of MRI Sequences T1 and T2 * Cerebral Perfusion to Aid in the Diagnosis and Evaluation of Brain Therapeutic Response With Chemotherapy or Targeted Therapy(s) Lesion(s) in Patients Treated and Followed for a Pulmonary Neoplasia
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of brain metastases from lung cancer using magnetic resonance neuroimaging: Clinical and technical aspects.Journal of medical radiation sciences · 2024Pooled it
- Time optimization of gadobutrol-enhanced brain MRI for metastases and primary tumors using a dynamic contrast-enhanced imaging.BMC medical imaging · 2022Article
- MRI Texture Analysis for the Prediction of Stereotactic Radiosurgery Outcomes in Brain Metastases from Lung Cancer.Journal of clinical medicine · 2021Article
- Imaging challenges of immunotherapy and targeted therapy in patients with brain metastases: response, progression, and pseudoprogression.Neuro-oncology · 2020Review
- Histogram analysis of absolute cerebral blood volume map can distinguish glioblastoma from solitary brain metastasis.Medicine · 2019Article
- The Role of Standard and Advanced Imaging for the Management of Brain Malignancies From a Radiation Oncology Standpoint.Neurosurgery · 2019Review
- Early Prediction of Treatment Response of Neuroendocrine Hepatic Metastases after Peptide Receptor Radionuclide Therapy withContrast media & molecular imaging · 2019Article
- The Use of Quantitative Imaging in Radiation Oncology: A Quantitative Imaging Network (QIN) Perspective.International journal of radiation oncology, biology, physics · 2018Review
- HyperpolarizedNeuro-oncology advancesArticle
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo determine the diagnostic accuracy of pharmacokinetic parameters measured by dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) in predicting the response of brain metastases to antineoplastic therapy in patients with lung cancer.
methodsForty-four consecutive patients with lung cancer, harbouring 123 newly diagnosed brain metastases prospectively underwent conventional 3-T MRI at baseline (within 1 month before treatment), during the early (7-10 weeks) and midterm (5-7 months) post-treatment period. An additional DCE MRI sequence was performed during baseline and early post-treatment MRI to evaluate baseline pharmacokinetic parameters (K
resultsBaseline DCE MRI parameters were not associated with the objective response. Early ∆K
conclusionsDCE MRI and early ∆v KEY POINTS: • DCE MRI could predict the response of brain metastases from lung cancer • ∆v
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Identifiers
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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.