ArticleInternational journal of molecular sciences2019
Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04441814 (Frequency and OUtcome of Sub-solid Pulmonary Nodules in Asymptomatic Subjects Tested by Chest CT Screening Versus COVID-19 Patients), which is not on this map. Cited by 10 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.
Frequency and OUtcome of Sub-solid Pulmonary Nodules in Asymptomatic Subjects Tested by Chest CT Screening Versus COVID-19 Patients (FOUND) - Ancillary Study to Smile Protocol NCT03654105
Who cites it
10 citing papers in PubMed.
- Amino Acid Transporters in Glioblastoma: Implications for Diagnosis, Disease Monitoring, Therapeutic Targeting, and Drug Delivery.Molecular diagnosis & therapy · 2025Review
- Radiogenomic Landscape of Metastatic Endocrine-Positive Breast Cancer Resistant to Aromatase Inhibitors.Cancers · 2025Review
- Review
- Comparative analysis of Doxycycline and Ayurvedic herbs to target metastatic breast cancer: AnBioMedicine · 2024Article
- A Focus on the Synergy of Radiomics and RNA Sequencing in Breast Cancer.International journal of molecular sciences · 2023Review
- Radiogenomics, Breast Cancer Diagnosis and Characterization: Current Status and Future Directions.Methods and protocols · 2022Review
- Review
- Radiogenomics analysis reveals the associations of dynamic contrast-enhanced-MRI features with gene expression characteristics, PAM50 subtypes, and prognosis of breast cancer.Frontiers in oncology · 2022Article
- Article
- Molecular and Cellular Complexity of Glioma. Focus on Tumour Microenvironment and the Use of Molecular and Imaging Biomarkers to Overcome Treatment Resistance.International journal of molecular sciences · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Personalized medicine relies on the integration and consideration of specific characteristics of the patient, such as tumor phenotypic and genotypic profiling.
backgroundRadiogenomics aim to integrate phenotypes from tumor imaging data with genomic data to discover genetic mechanisms underlying tumor development and phenotype.
methodsWe describe a computational approach that correlates phenotype from magnetic resonance imaging (MRI) of breast cancer (BC) lesions with microRNAs (miRNAs), mRNAs, and regulatory networks, developing a radiomiRNomic map. We validated our approach to the relationships between MRI and miRNA expression data derived from BC patients. We obtained 16 radiomic features quantifying the tumor phenotype. We integrated the features with miRNAs regulating a network of pathways specific for a distinct BC subtype.
resultsWe found six miRNAs correlated with imaging features in Luminal A (
conclusionOur computational approach could be used to identify new radiomiRNomic profiles of multi-omics biomarkers for BC differential diagnosis and prognosis.
Indexed as
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What Socratic 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 Socratic graph.