ArticleJournal of magnetic resonance imaging : JMRI2019
Quantitative in vivo proton MR spectroscopic assessment of lipid metabolism: Value for breast cancer diagnosis and prognosis.
Article in Journal of magnetic resonance imaging : JMRI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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.
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Who cites it
17 citing papers in PubMed, 39 citations in OpenAlex.
- Magnetic Resonance Spectroscopy for Cervical Cancer: Review and Potential Prognostic Applications.Cancers · 2024Review
- Nomogram for preoperative differentiation of benign and malignant breast tumors using contrast-enhanced cone-beam breast CT (CE CB-BCT) quantitative imaging and assessment features.La Radiologia medica · 2024Article
- Enhanced spectral resolution for correlated spectroscopic imaging using inner-product and covariance transform: a pilot analysis of metabolites and lipids in breast cancer in vivo.Scientific reports · 2023Article
- Ensemble Learning for Breast Cancer Lesion Classification: A Pilot Validation Using Correlated Spectroscopic Imaging and Diffusion-Weighted Imaging.Metabolites · 2023Article
- Advanced Magnetic Resonance Imaging Modalities for Breast Cancer Diagnosis: An Overview of Recent Findings and Perspectives.Diagnostics (Basel, Switzerland) · 2022Review
- Magnetic Resonance Imaging (MRI) and MR Spectroscopic Methods in Understanding Breast Cancer Biology and Metabolism.Metabolites · 2022Review
- Article
- Review
- Special Issue "Advances in Breast MRI".Diagnostics (Basel, Switzerland) · 2021Article
- MR spectroscopy in breast cancer metabolomics.Analytical science advances · 2021Review
- Fat Composition Measured by Proton Spectroscopy: A Breast Cancer Tumor Marker?Diagnostics (Basel, Switzerland) · 2021Article
- Is Elevated Choline on Magnetic Resonance Spectroscopy a Reliable Marker of Breast Lesion Malignancy?Frontiers in oncology · 2021Article
- Phased-array combination of 2D MRS for lipid composition quantification in patients with breast cancer.Scientific reports · 2020Article
- Clinical applications of breast cancer metabolomics using high-resolution magic angle spinning proton magnetic resonance spectroscopy (HRMAS 1H MRS): systematic scoping review.Metabolomics : Official journal of the Metabolomic Society · 2019Article
- Proton MR spectroscopy in the breast: Technical innovations and clinical applications.Journal of magnetic resonance imaging : JMRI · 2019Review
- Microbiome-Microbial Metabolome-Cancer Cell Interactions in Breast Cancer-Familiar, but Unexplored.Cells · 2019Review
- In vivo MR spectroscopy for breast cancer diagnosis.BJR open · 2019Review
Corrections and comments
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Authors and funding
15 authors at 4 institutions in 4 countries.
Funding
Abstract
backgroundBreast magnetic resonance spectroscopy ( PURPOSE: To investigate whether lipid metabolite concentrations detected with STUDY TYPE: Retrospective. SUBJECTS: In all, 168 women, aged ≥18 years. FIELD STRENGTH/SEQUENCE: Dynamic contrast-enhanced MRI at 1.5 T: sagittal 3D spoiled gradient recalled sequence with fat saturation, flip angle = 10°, repetition time / echo time (TR/TE) = 7.4/4.2 msec, slice thickness = 3.0 mm, field of view (FOV) = 20 cm, and matrix size = 256 × 192. ASSESSMENT: MRS quantitative analysis of lipid resonances using the LCModel was performed. Histopathology was the reference standard. STATISTICAL TESTS: Categorical data were described using absolute numbers and percentages. For metric data, means (plus 95% confidence interval [CI]) and standard deviations as well as median, minimum, and maximum were calculated. Due to skewed data, the latter were more adequate; unpaired Mann-Whitney U-tests were performed to compare groups without and with Bonferroni correction. ROC analyses were also performed.
resultsThere were 111 malignant and 57 benign lesions. Mean voxel size was 4.4 ± 4.6 cm DATA
conclusionQuantitative in vivo LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:239-249.
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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.