ArticleAmerican journal of nuclear medicine and molecular imaging2020
Quantitative parameters of MRI and
Article in American journal of nuclear medicine and molecular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
8 citing papers in PubMed.
- Breast DCE-MRI morphological features and semi-quantitative parameters associated with upgrade to invasive carcinoma in biopsyproven DCIS.Radiology and oncology · 2026Article
- Integrating PET/CT-derived heterogeneity indices and composite risk scores improves prognostic stratification in breast cancer.European journal of nuclear medicine and molecular imaging · 2026Article
- PET/CT Radiomics Integrated with Clinical Indexes as a Tool to Predict Ki67 in Breast Cancer: a Pilot Study.Nuclear medicine and molecular imaging · 2025Article
- Noninvasive PET imaging of tumor PD-L1 expression withAmerican journal of nuclear medicine and molecular imaging · 2024Article
- ImmunoPET of trophoblast cell-surface antigen 2 (Trop-2) expression in pancreatic cancer.European journal of nuclear medicine and molecular imaging · 2022Article
- Multiparametric IntegratedCancers · 2021Article
- ImmunoPET of the differential expression of CD146 in breast cancer.American journal of cancer research · 2021Article
- Deep learning convolutional neural network (DLCNN): unleashing the potential ofAmerican journal of nuclear medicine and molecular imaging · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this work is to evaluate the quantitative parameters of magnetic resonance imaging (MRI), particularly diffusion-weighted imaging (DWI) and dynamic contrast enhancement (DCE) as well as positron-emission tomography, combined with computer tomography (PET/CT), with
Indexed as
Identifiers
33329930PMC7724282What 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.