Trial reportEuropean journal of nuclear medicine and molecular imaging2017
Correlation between tumour characteristics, SUV measurements, metabolic tumour volume, TLG and textural features assessed with
Trial report in European journal of nuclear medicine and molecular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.
- PET-Derived Radiomics and Artificial Intelligence in Breast Cancer: A Systematic Review.International journal of molecular sciences · 2022Pooled it
- Trial
- Association ofMolecular imaging and radionuclide therapy · 2026Article
- Article
- Novel 4D radiomics applied to dynamic FES PET images to improve prediction of breast cancer response to ER-targeted therapy.European journal of nuclear medicine and molecular imaging · 2026Article
- Article
- Respective contribution of baseline clinical data, tumour metabolism and tumour blood-flow in predicting pCR after neoadjuvant chemotherapy in HER2 and Triple Negative breast cancer.EJNMMI research · 2024Article
- Current Role and Future Prospects of Positron Emission Tomography (PET)/Computed Tomography (CT) in the Management of Breast Cancer.Medicina (Kaunas, Lithuania) · 2024Review
- Article
- Clinical Utility of Pre-Therapeutic [18F]FDG PET/CT Imaging for Predicting Outcomes in Breast Cancer.Journal of clinical medicine · 2023Article
- Development and External Validation ofCancers · 2023Article
- Advances in PET/CT Imaging for Breast Cancer.Journal of clinical medicine · 2023Review
- Lesion Analysis in PERCIST 1.0: Clinical Ease versus Research Requisite-Where Does the Balance Exist?World journal of nuclear medicine · 2023Article
- Prediction of pathological response after neoadjuvant chemotherapy using baseline FDG PET heterogeneity features in breast cancer.The British journal of radiology · 2023Review
- Radiomics in Oncological PET Imaging: A Systematic Review-Part 1, Supradiaphragmatic Cancers.Diagnostics (Basel, Switzerland) · 2022Review
- The Role of Histogram-Based Textural Analysis ofMolecular imaging and radionuclide therapy · 2022Article
- Can Radiomics Analyses inMolecular imaging and radionuclide therapy · 2022Article
- M1 stage subdivisions based onTherapeutic advances in medical oncology · 2022Article
- PET/CT-based radiomics analysis may help to predict neoadjuvant chemotherapy outcomes in breast cancer.Frontiers in oncology · 2022Article
- Diagnostic Performance of [Diagnostics (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe study was designed to evaluate 1) the relationship between PET image textural features (TFs) and SUVs, metabolic tumour volume (MTV), total lesion glycolysis (TLG) and tumour characteristics in a large prospective and homogenous cohort of oestrogen receptor-positive (ER+) breast cancer (BC) patients, and 2) the capability of those parameters to predict response to neoadjuvant chemotherapy (NAC).
methods171 consecutive patients with large or locally advanced ER+ BC without distant metastases underwent an
resultsSpearman's coefficients between SUV
conclusionsThe correlation of TFs was poor with SUV parameters and high with MTV. TFs showed a significant association with the histological type. Finally, while SUV
Indexed as
Identifiers
What OpenQuestion holds
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.