Special Section Guest Editorial:Radiomics and Imaging Genomics: Quantitative Imaging for Precision Medicine.

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

10 citing papers in PubMed.

1. Radiomic Features Prognosticate Treatment Response in CAR-T Cell Therapy.Cancers · 2025
   Article
2. Machine learning with multimodal data for COVID-19.Heliyon · 2023
   Review
3. Review of Value of CT Texture Analysis and Machine Learning in Differentiating Fat-Poor Renal Angiomyolipoma from Renal Cell Carcinoma.Tomography (Ann Arbor, Mich.) · 2020
   Review
4. Radiomics Applications in Renal Tumor Assessment: A Comprehensive Review of the Literature.Cancers · 2020
   Review
5. [Study Progress of Radiomics in Precision Medicine for Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2019
   Review
6. Radiogenomics of rectal adenocarcinoma in the era of precision medicine: A pilot study of associations between qualitative and quantitative MRI imaging features and genetic mutations.European journal of radiology · 2019
   Article
7. Digital liver biopsy: Bio-imaging of fatty liver for translational and clinical research.World journal of hepatology · 2018
   Review
8. Radiogenomics analysis identifies correlations of digital mammography with clinical molecular signatures in breast cancer.PloS one · 2018
   Article
9. Noninvasive radiomics signature based on quantitative analysis of computed tomography images as a surrogate for microvascular invasion in hepatocellular carcinoma: a pilot study.Journal of medical imaging (Bellingham, Wash.) · 2017
   Article
10. A Rapid Segmentation-Insensitive "Digital Biopsy" Method for Radiomic Feature Extraction: Method and Pilot Study Using CT Images of Non-Small Cell Lung Cancer.Tomography (Ann Arbor, Mich.) · 2016
    Article

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

2 authors.

Funding

Abstract

PubMed holds no abstract for this paper.