Evidence map›Paper›PMID 38010527›Full record

ArticleAbdominal radiology (New York)2024

The kidney imaging surveillance scoring system (KISSS): using qualitative MRI features to predict growth rate of renal tumors in patients with von-Hippel Lindau (VHL) syndrome.

Nikhil Gopal, Pouria Yazdian Anari, Aditi Chaurasia, Maria Antony, Paul Wakim, W Marston Linehan, Mark Ball, Evrim Turkbey, Ashkan Malayeri

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Article in Abdominal radiology (New York), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Nikhil GopalUrology Oncology Branch, National Cancer Institutes, National Institutes of Health, Bethesda, MD, USA.
Pouria Yazdian AnariRadiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892-1109, USA.
Aditi ChaurasiaRadiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892-1109, USA.
Maria AntonyRadiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892-1109, USA.
Paul WakimCenter for the Clinical Trials Network, National Institute on Drug Abuse, Bethesda, MD, USA.
W Marston LinehanUrology Oncology Branch, National Cancer Institutes, National Institutes of Health, Bethesda, MD, USA.
Mark BallUrology Oncology Branch, National Cancer Institutes, National Institutes of Health, Bethesda, MD, USA.
Evrim TurkbeyRadiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892-1109, USA.
Ashkan MalayeriRadiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892-1109, USA. ashkan.malayeri@nih.gov.ORCID http://orcid.org/0000-0002-4442-7343
National Institutes of Health Clinical Center · USNational Institutes of Health · USNational Institute on Drug Abuse · US

Funding

Molecular Therapeutics of Kidney Cancer: VHL Gene and Fumarate Hydratase GeneZIABC011038 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LINEHAN, WILLIAM MARSTON · 2009 to 2025
$29.8M
Molecular Therapeutics of Kidney Cancer: MET Gene and BHD GeneZIABC011043 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LINEHAN, WILLIAM MARSTON · 2009 to 2025
$20.9M
Clinical Studies of the Molecular Genetic Basis of Kidney CancerZIABC011028 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LINEHAN, WILLIAM MARSTON · 2009 to 2025
$17.9M
Clinical Nursing and Data Management CoreZIDBC011089 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LINEHAN, WILLIAM MARSTON · 2009 to 2025
$17.4M
6 · The paper itself

Abstract

objectiveTo determine the reliability of an MRI-based qualitative kidney imaging surveillance scoring system (KISSS) and assess which imaging features predict growth rate (GR) of renal tumors in patients with VHL. MATERIALS AND

methodsWe identified 55 patients with VHL with 128 renal tumors who underwent intervention from 2015 to 2020 at the National Cancer Institute. All patients had 2 preoperative MRIs at least 3 months apart. Two fellowship-trained radiologists scored each tumor on location and MR-sequence-specific imaging parameters from the earlier MRI. Weighted kappa was used to determine the degree of agreement between radiologists for each parameter. GR was calculated as the difference in maximum tumor dimension over time (cm/year). Differences in mean growth rate (MGR) within categories of each imaging variable were assessed by ANOVA.

resultsApart from tumor margin and renal sinus, reliability was at least moderate (K > 0.40) for imaging parameters. Median initial tumor size was 2.1 cm, with average follow-up of 1.2 years. Tumor MGR was 0.42 cm/year. T2 hypointense, mixed/predominantly solid, and high restricted diffusion tumors grew faster. When comparing different combinations of these variables, the model with the lowest mean error among both radiologists utilized only solid/cystic and restricted diffusion features.

conclusionsWe demonstrate a novel MR-based scoring system (KISSS) that has good precision with minimal training and can be applied to other qualitative radiology studies. A subset of imaging variables (T2 intensity; restricted diffusion; and solid/cystic) were independently associated with growth rate in VHL renal tumors, with the combination of the latter two most optimal. Additional validation, including in sporadic RCC population, is warranted.

Indexed as

Carcinoma, Renal CellKidney Neoplasmsvon Hippel-Lindau DiseaseHumansKidneyMagnetic Resonance ImagingReproducibility of ResultsVon Hippel-Lindau Tumor Suppressor ProteinVHL protein, humanVon Hippel-Lindau Tumor Suppressor ProteinClear cell renal cell carcinomaGrowth rateMRIRestricted diffusionSolid/cysticVon Hippel Lindau (VHL)

Identifiers

PMID38010527
OpenAlexW4389047230

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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.