Evidence map›Paper›PMID 36902045›Full record

ReviewInternational journal of molecular sciences2023

Radiogenomics in Renal Cancer Management-Current Evidence and Future Prospects.

Matteo Ferro, Gennaro Musi, Michele Marchioni, Martina Maggi, Alessandro Veccia, Francesco Del Giudice, Biagio Barone, Felice Crocetto, Francesco Lasorsa, Alessandro Antonelli and 6 more

Full text readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Urinary MicroRNAs as Biomarkers of Urological Cancers: A Systematic Review.International journal of molecular sciences · 2023
    Pooled it
  3. A radiogenomics biomarker based on tumor angiogenesis for non-invasive prognosis of clear cell renal cell carcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. State of the art review of AI in renal imaging.Abdominal radiology (New York) · 2025
    Review
  10. Article
  11. Observational
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
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  19. Article
  20. Review
4 · The record

Corrections and comments

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

5 · Who and what money

Authors and funding

16 authors.

Matteo FerroDepartment of Urology, European Institute of Oncology (IEO) IRCCS, 20141 Milan, Italy.ORCID 0000-0002-9250-7858
Gennaro MusiDepartment of Urology, European Institute of Oncology (IEO) IRCCS, 20141 Milan, Italy.
Michele MarchioniDepartment of Medical, Oral and Biotechnological Sciences, G. d'Annunzio, University of Chieti, 66100 Chieti, Italy.ORCID 0000-0002-1702-4127
Martina MaggiDepartment of Maternal Infant and Urologic Sciences, Policlinico Umberto I Hospital, University of Rome, 00161 Rome, Italy.ORCID 0000-0003-4672-850X
Alessandro VecciaDepartment of Urology, Azienda Ospedaliera Universitaria Integrata of Verona, University of Verona, 37126 Verona, Italy.
Francesco Del GiudiceDepartment of Maternal Infant and Urologic Sciences, Policlinico Umberto I Hospital, University of Rome, 00161 Rome, Italy.ORCID 0000-0003-3865-5988
Biagio BaroneDepartment of Neurosciences and Reproductive Sciences and Odontostomatology, University of Naples Federico II, 80131 Naples, Italy.ORCID 0000-0003-4884-132X
Felice CrocettoDepartment of Neurosciences and Reproductive Sciences and Odontostomatology, University of Naples Federico II, 80131 Naples, Italy.ORCID 0000-0002-4315-7660
Francesco LasorsaUrology, Andrology and Kidney Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area, University of Bari Aldo Moro, 70124 Bari, Italy.
Alessandro AntonelliDepartment of Urology, Azienda Ospedaliera Universitaria Integrata of Verona, University of Verona, 37126 Verona, Italy.
Luigi SchipsDepartment of Medical, Oral and Biotechnological Sciences, G. d'Annunzio, University of Chieti, 66100 Chieti, Italy.
Riccardo AutorinoDepartment of Urology, Rush University, Chicago, IL 60612, USA.
Gian Maria BusettoDepartment of Urology and Renal Transplantation, University of Foggia, 71122 Foggia, Italy.ORCID 0000-0002-7291-0316
Daniela TerraccianoDepartment of Translational Medical Sciences, University of Naples Federico II, 80131 Naples, Italy.ORCID 0000-0003-4296-429X
Giuseppe LucarelliUrology, Andrology and Kidney Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area, University of Bari Aldo Moro, 70124 Bari, Italy.ORCID 0000-0001-7807-1229
Octavian Sabin TataruDepartment of Simulation Applied in Medicine, The Institution Organizing University Doctoral Studies (I.O.S.U.D.), George Emil Palade University of Medicine, Pharmacy, Sciences, and Technology of Târgu Mureș, 540142 Târgu Mureș, Romania.ORCID 0000-0001-7057-7815

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal cancer management is challenging from diagnosis to treatment and follow-up. In cases of small renal masses and cystic lesions the differential diagnosis of benign or malignant tissues has potential pitfalls when imaging or even renal biopsy is applied. The recent artificial intelligence, imaging techniques, and genomics advancements have the ability to help clinicians set the stratification risk, treatment selection, follow-up strategy, and prognosis of the disease. The combination of radiomics features and genomics data has achieved good results but is currently limited by the retrospective design and the small number of patients included in clinical trials. The road ahead for radiogenomics is open to new, well-designed prospective studies, with large cohorts of patients required to validate previously obtained results and enter clinical practice.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsArtificial IntelligenceHumansProspective StudiesRetrospective Studiesartificial intelligencegenomicsmachine learningradiogenomicsradiomicsrenal cancer

Identifiers

PMID36902045
PMCPMC10003020

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read46
identifiers read1
Read underepoch 390

Registered trials

None linked

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.