Evidence map›Paper›PMID 38020527›Full record

ArticleEuropean urology open science2023

Preoperative Renal Parenchyma Volume as a Predictor of Kidney Function Following Nephrectomy of Complex Renal Masses.

Maria B Antony, Pouria Y Anari, Nikhil Gopal, Aditi Chaurasia, Fatemeh Dehghani Firouzabadi, Fatemeh Homayounieh, Zach Kozel, Rabindra Gautam, Sandeep Gurram, W Marston Linehan and 3 more

Open access · goldAbstract read
In one paragraph

Article in European urology open science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 28% of its field
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

3 citing papers in PubMed, 2 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Maria B AntonyUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Pouria Y AnariRadiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
Nikhil GopalUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Aditi ChaurasiaUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Fatemeh Dehghani FirouzabadiRadiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
Fatemeh HomayouniehRadiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
Zach KozelUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Rabindra GautamUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Sandeep GurramUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
W Marston LinehanUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Evrim B TurkbeyRadiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
Ashkan A MalayeriRadiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
Mark W BallUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
National Institutes of Health · USNational Institutes of Health Clinical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The von Hippel-Lindau disease (VHL) is a hereditary cancer syndrome with multifocal, bilateral cysts and solid tumors of the kidney. Surgical management may include multiple extirpative surgeries, which ultimately results in parenchymal volume loss and subsequent renal function decline. Recent studies have utilized parenchyma volume as an estimate of renal function prior to surgery for renal cell carcinoma; however, it is not yet validated for surgically altered kidneys with multifocal masses and complex cysts such as are present in VHL. Objective: We sought to validate a magnetic resonance imaging (MRI)-based volumetric analysis with mercaptoacetyltriglycine (MAG-3) renogram and postoperative renal function. Design setting and participants: We identified patients undergoing renal surgery at the National Cancer Institute from 2015 to 2020 with preoperative MRI. Renal tumors, cysts, and parenchyma of the operated kidney were segmented manually using ITK-SNAP software. Outcome measurements and statistical analysis: Serum creatinine and urinalysis were assessed preoperatively, and at 3- and 12-mo follow-up time points. Estimated glomerular filtration rate (eGFR) was calculated using serum creatinine-based CKD-EPI 2021 equation. A statistical analysis was conducted on R Studio version 4.1.1. Results and limitations: Preoperative MRI scans of 113 VHL patients (56% male, median age 48 yr) were evaluated between 2015 and 2021. Twelve (10.6%) patients had a solitary kidney at the time of surgery; 59 (52%) patients had at least one previous partial nephrectomy on the renal unit. Patients had a median of three (interquartile range [IQR]: 2-5) tumors and five (IQR: 0-13) cysts per kidney on imaging. The median preoperative GFR was 70 ml/min/1.73 m Conclusions: A parenchyma volume analysis on preoperative MRI correlates well with renogram split function and can predict long-term renal function with added benefit of anatomic detail and ease of application. Patient summary: Prior to kidney surgery, it is important to understand the contribution of each kidney to overall kidney function. Nuclear medicine scans are currently used to measure split kidney function. We demonstrated that kidney volumes on preoperative magnetic resonance imaging can also be used to estimate split kidney function before surgery, while also providing essential details of tumor and kidney anatomy.

Indexed as

Kidney cancerParenchymal volume analysisRenal functionvon Hippel-Lindau

Identifiers

PMID38020527
PMCPMC10658405
OpenAlexW4387199917

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.