Evidence map›Paper›PMID 41284030›Full record

ReviewAbdominal radiology (New York)2026

Hereditary syndromes and RCC: what radiologists need to know.

Charlotte Charbel, Samuel J Withey, Eva Serrao, Yuki Arita, Anton Becker, James Whitworth, Satheesh Krishna, Ole Graumann, Sungmin Woo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Charlotte CharbelDepartment of Radiology, New York University, New York, USA. charlotte.charbel@nyulangone.org.
Samuel J WitheyDepartment of Radiology, Royal Marsden NHS Foundation Trust, London, UK.
Eva SerraoDepartment of Radiology, University of Cambridge, Cambridge, UK.
Yuki AritaDepartment of Radiology and Biomedical Imaging, Division of Molecular Imaging and Therapeutics, University of California, San Francisco, San Francisco, USA.
Anton BeckerDepartment of Radiology, New York University, New York, USA.
James WhitworthDepartment of Radiology, University of Cambridge, Cambridge, UK.
Satheesh KrishnaDepartment of Medical Imaging, University of Toronto, Toronto, Canada.
Ole GraumannDepartment of Radiology, Aarhus University Hospital, Aarhus, Denmark.
Sungmin WooDepartment of Radiology, New York University, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hereditary renal cell carcinoma (RCC) accounts for approximately 5-8% of all renal cancers. This review provides a comprehensive overview of the seven hereditary RCC syndromes recognized by the National Comprehensive Cancer Network: Tuberous Sclerosis Complex (TSC), Von Hippel-Lindau (VHL), Hereditary Leiomyomatosis and Renal Cell Cancer (HLRCC), Hereditary Papillary Renal Carcinoma (HPRC), Birt-Hogg-Dubé syndrome (BHDS), Succinate dehydrogenase (SDH)-deficient RCC/Hereditary Paraganglioma/Pheochromocytoma (PGL/PCC) syndrome, and BAP1 tumor predisposition syndrome (BAP1-TPDS). For each syndrome, the underlying inheritance, epidemiology, and clinicopathologic features of their associated RCCs are detailed. Furthermore, radiographic challenges faced in the diagnosis of RCC in some of these syndromes are discussed, including differentiating RCC from the more common lipid-poor AML in TSC, distinguishing papillary RCC from hemorrhagic cysts in HPRC, and discerning chromophobe RCC from oncocytomas in BHDS. Radiologists are integral to the multidisciplinary management of hereditary RCC, as they are often the first to identify clinicopathologic features suggestive of an underlying genetic syndrome. Recognizing these patterns is crucial for prompting timely genetic evaluation, guiding decisions for nephron-sparing interventions, and establishing appropriate surveillance for patients and their at-risk family members. Advances in radiogenomics and artificial intelligence hold promise for further refining non-invasive diagnosis and personalizing patient care.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsNeoplastic Syndromes, HereditaryDiagnosis, DifferentialHumansBAP1 tumor predisposition syndromeBirt-Hogg-Dubé syndromeHereditary leiomyomatosis and renal cell cancerHereditary papillary renal carcinomaHereditary paraganglioma/Pheochromocytoma syndromeHereditary renal cell carcinomaKidneySuccinate dehydrogenase-deficient renal cell cancerTuberous sclerosis complexVon Hippel-Lindau

Identifiers

What OpenQuestion holds

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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.