SynthesisRadiology. Artificial intelligence2024
Accuracy of Radiomics in Predicting
Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph
Synthesis in Radiology. Artificial intelligence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
4.4field-weighted citation impact, top 5% of its field
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
22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- Diagnostic performance of deep learning for predicting glioma isocitrate dehydrogenase and 1p/19q co-deletion in MRI: a systematic review and meta-analysis.European radiology · 2026Pooled it
- Quality and accuracy of radiomics models in predicting KRAS status in lung cancer: a systematic review and meta-analysis.Frontiers in oncology · 2025Pooled it
- Predicting IDH and ATRX mutations in gliomas from radiomic features with machine learning: a systematic review and meta-analysis.Frontiers in radiology · 2024Pooled it
- Health system learning enables generalist neuroimaging models.Nature medicine · 2026Article
- Isocitrate Dehydrogenase-Mutant Astrocytomas: Risk Stratification and Therapeutic Advance.MedComm · 2026Review
- Review
- Spatial tumour characteristics as an indirect marker of metabolic dysregulation: evaluation for non-invasive IDH-genotyping of glioma using hybrid [18 F]FET-PET/MRI.European journal of nuclear medicine and molecular imaging · 2026Article
- Casting wider than U-Nets: evaluating the role of novel machine learning applications in radiation therapy.BJR artificial intelligence · 2026Review
- Health system learning achieves generalist neuroimaging models.Research square · 2025Article
- A Narrative Review of Photon-Counting CT and Radiomics in Cardiothoracic Imaging: A Promising Match?Diagnostics (Basel, Switzerland) · 2025Review
- OMT and tensor SVD-based deep learning model for segmentation and predicting genetic markers of glioma: A multicenter study.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Artificial Intelligence in Glioblastoma-Transforming Diagnosis and Treatment.Chinese neurosurgical journal · 2025Review
- Identification of intrinsic imaging subtypes using clustering analysis based on dynamic contrast-enhanced magnetic resonance imaging radiomics features for gliomas: preliminary associations with gene expression profiles.Quantitative imaging in medicine and surgery · 2025Article
- Review
- A comprehensive evaluation of MRI-based radiogenomics and prognosis prediction in glioma.Frontiers in oncology · 2025Article
- Radiomics-based machine learning role in differential diagnosis between small renal oncocytoma and clear cells carcinoma on contrast-enhanced CT: A pilot study.European journal of radiology open · 2024Article
- Completely non-invasive prediction of IDH mutation status based on preoperative native CT images.Scientific reports · 2024Article
- Convolutional Neural Network-Based Automated Segmentation of Skeletal Muscle and Subcutaneous Adipose Tissue on Thigh MRI in Muscular Dystrophy Patients.Journal of functional morphology and kinesiology · 2024Article
- Bridging Pixels to Genes.Radiology. Artificial intelligence · 2024Article
- Advancing Pediatric Sarcomas through Radiomics: A Systematic Review and Prospective Assessment Using Radiomics Quality Score (RQS) and Methodological Radiomics Score (METRICS).Diagnostics (Basel, Switzerland) · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 1 institution in 2 countries.
Gianfranco Di SalleFrom Academic Radiology, Department of Translational Research on New Technologies in Medicine and Surgery (G.D.S., L.T., G.A., S.C.F., M.F., J.E.S., L.F., E.N.), Department of Clinical and Experimental Medicine (M.M.), and Neuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery (M.C.), University of Pisa, Via Roma 67, 56126 Pisa, Italy; Artificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy (M.E.L.); The Shrewsbury and Telford Hospital NHS Trust, Shrewsbury, England (S.S.); and Italian Society of Medical and Interventional Radiology, SIRM Foundation, Milan, Italy (E.N.).ORCID 0000-0002-6064-4583
Lorenzo TumminelloFrom Academic Radiology, Department of Translational Research on New Technologies in Medicine and Surgery (G.D.S., L.T., G.A., S.C.F., M.F., J.E.S., L.F., E.N.), Department of Clinical and Experimental Medicine (M.M.), and Neuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery (M.C.), University of Pisa, Via Roma 67, 56126 Pisa, Italy; Artificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy (M.E.L.); The Shrewsbury and Telford Hospital NHS Trust, Shrewsbury, England (S.S.); and Italian Society of Medical and Interventional Radiology, SIRM Foundation, Milan, Italy (E.N.).ORCID 0000-0002-0059-6778
Maria Elena LainoFrom Academic Radiology, Department of Translational Research on New Technologies in Medicine and Surgery (G.D.S., L.T., G.A., S.C.F., M.F., J.E.S., L.F., E.N.), Department of Clinical and Experimental Medicine (M.M.), and Neuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery (M.C.), University of Pisa, Via Roma 67, 56126 Pisa, Italy; Artificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy (M.E.L.); The Shrewsbury and Telford Hospital NHS Trust, Shrewsbury, England (S.S.); and Italian Society of Medical and Interventional Radiology, SIRM Foundation, Milan, Italy (E.N.).
Sherif ShalabyFrom Academic Radiology, Department of Translational Research on New Technologies in Medicine and Surgery (G.D.S., L.T., G.A., S.C.F., M.F., J.E.S., L.F., E.N.), Department of Clinical and Experimental Medicine (M.M.), and Neuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery (M.C.), University of Pisa, Via Roma 67, 56126 Pisa, Italy; Artificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy (M.E.L.); The Shrewsbury and Telford Hospital NHS Trust, Shrewsbury, England (S.S.); and Italian Society of Medical and Interventional Radiology, SIRM Foundation, Milan, Italy (E.N.).ORCID 0000-0002-2504-4865
Gayane AghakhanyanFrom Academic Radiology, Department of Translational Research on New Technologies in Medicine and Surgery (G.D.S., L.T., G.A., S.C.F., M.F., J.E.S., L.F., E.N.), Department of Clinical and Experimental Medicine (M.M.), and Neuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery (M.C.), University of Pisa, Via Roma 67, 56126 Pisa, Italy; Artificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy (M.E.L.); The Shrewsbury and Telford Hospital NHS Trust, Shrewsbury, England (S.S.); and Italian Society of Medical and Interventional Radiology, SIRM Foundation, Milan, Italy (E.N.).ORCID 0000-0001-5152-497X
Salvatore Claudio FanniFrom Academic Radiology, Department of Translational Research on New Technologies in Medicine and Surgery (G.D.S., L.T., G.A., S.C.F., M.F., J.E.S., L.F., E.N.), Department of Clinical and Experimental Medicine (M.M.), and Neuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery (M.C.), University of Pisa, Via Roma 67, 56126 Pisa, Italy; Artificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy (M.E.L.); The Shrewsbury and Telford Hospital NHS Trust, Shrewsbury, England (S.S.); and Italian Society of Medical and Interventional Radiology, SIRM Foundation, Milan, Italy (E.N.).ORCID 0000-0002-4003-3320
Maria FebiFrom Academic Radiology, Department of Translational Research on New Technologies in Medicine and Surgery (G.D.S., L.T., G.A., S.C.F., M.F., J.E.S., L.F., E.N.), Department of Clinical and Experimental Medicine (M.M.), and Neuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery (M.C.), University of Pisa, Via Roma 67, 56126 Pisa, Italy; Artificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy (M.E.L.); The Shrewsbury and Telford Hospital NHS Trust, Shrewsbury, England (S.S.); and Italian Society of Medical and Interventional Radiology, SIRM Foundation, Milan, Italy (E.N.).
Jorge Eduardo ShortredeFrom Academic Radiology, Department of Translational Research on New Technologies in Medicine and Surgery (G.D.S., L.T., G.A., S.C.F., M.F., J.E.S., L.F., E.N.), Department of Clinical and Experimental Medicine (M.M.), and Neuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery (M.C.), University of Pisa, Via Roma 67, 56126 Pisa, Italy; Artificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy (M.E.L.); The Shrewsbury and Telford Hospital NHS Trust, Shrewsbury, England (S.S.); and Italian Society of Medical and Interventional Radiology, SIRM Foundation, Milan, Italy (E.N.).
Mario MiccoliFrom Academic Radiology, Department of Translational Research on New Technologies in Medicine and Surgery (G.D.S., L.T., G.A., S.C.F., M.F., J.E.S., L.F., E.N.), Department of Clinical and Experimental Medicine (M.M.), and Neuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery (M.C.), University of Pisa, Via Roma 67, 56126 Pisa, Italy; Artificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy (M.E.L.); The Shrewsbury and Telford Hospital NHS Trust, Shrewsbury, England (S.S.); and Italian Society of Medical and Interventional Radiology, SIRM Foundation, Milan, Italy (E.N.).
Lorenzo FaggioniFrom Academic Radiology, Department of Translational Research on New Technologies in Medicine and Surgery (G.D.S., L.T., G.A., S.C.F., M.F., J.E.S., L.F., E.N.), Department of Clinical and Experimental Medicine (M.M.), and Neuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery (M.C.), University of Pisa, Via Roma 67, 56126 Pisa, Italy; Artificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy (M.E.L.); The Shrewsbury and Telford Hospital NHS Trust, Shrewsbury, England (S.S.); and Italian Society of Medical and Interventional Radiology, SIRM Foundation, Milan, Italy (E.N.).ORCID 0000-0001-5262-4489
Mirco CosottiniFrom Academic Radiology, Department of Translational Research on New Technologies in Medicine and Surgery (G.D.S., L.T., G.A., S.C.F., M.F., J.E.S., L.F., E.N.), Department of Clinical and Experimental Medicine (M.M.), and Neuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery (M.C.), University of Pisa, Via Roma 67, 56126 Pisa, Italy; Artificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy (M.E.L.); The Shrewsbury and Telford Hospital NHS Trust, Shrewsbury, England (S.S.); and Italian Society of Medical and Interventional Radiology, SIRM Foundation, Milan, Italy (E.N.).
Emanuele NeriFrom Academic Radiology, Department of Translational Research on New Technologies in Medicine and Surgery (G.D.S., L.T., G.A., S.C.F., M.F., J.E.S., L.F., E.N.), Department of Clinical and Experimental Medicine (M.M.), and Neuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery (M.C.), University of Pisa, Via Roma 67, 56126 Pisa, Italy; Artificial Intelligence Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy (M.E.L.); The Shrewsbury and Telford Hospital NHS Trust, Shrewsbury, England (S.S.); and Italian Society of Medical and Interventional Radiology, SIRM Foundation, Milan, Italy (E.N.).ORCID 0000-0001-7950-4559
University of Pisa · IT
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose To perform a systematic review and meta-analysis assessing the predictive accuracy of radiomics in the noninvasive determination of isocitrate dehydrogenase
Indexed as
GlioblastomaGliomaHumansIsocitrate DehydrogenaseMutationRadiomicsIsocitrate DehydrogenaseApplication DomainGlioblastomaIDH MutationIntegrationNeuro-OncologyRadiomicsRadiomics Quality Scoring
Identifiers
What OpenQuestion holds
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LicenceCC BY
Read underepoch 390
Registered trials
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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.