Evidence map›Paper›PMID 34698270›Full record

ArticleTomography (Ann Arbor, Mich.)2021

Semi-Automated 3D Volumetric Renal Measurements in Polycystic Kidney Disease Using b0-Images-A Feasibility Study.

Alexandra Roudenko, Soran Mahmood, Linda Du, Drew Gunio, Irina Barash, Florence Doo, Alon Slutzky, Nina Kukar, Barak Friedman, Alexander Kagen

Abstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2021. 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
–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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Alexandra RoudenkoDepartment of Radiology, Allegheny Health Network, Pittsburgh, PA 15212, USA.
Soran MahmoodDepartment of Radiology, UT Health East Texas, Tyler, TX 75701, USA.
Linda DuDepartment of Radiology, Atrius Health, Boston, MA 02189, USA.
Drew GunioDepartment of Radiology, New York Presbyterian, New York, NY 10021, USA.ORCID 0000-0001-6052-2589
Irina BarashDepartment of Nephrology and Hypertension, Weill Cornell Medicine, New York, NY 10021, USA.
Florence DooDepartment of Radiology, Mount Sinai West, New York, NY 10019, USA.
Alon SlutzkyDepartment of Radiology, Mount Sinai West, New York, NY 10019, USA.
Nina KukarDepartment of Radiology, Mount Sinai West, New York, NY 10019, USA.
Barak FriedmanDepartment of Radiology, Mount Sinai West, New York, NY 10019, USA.
Alexander KagenDepartment of Radiology, Mount Sinai West, New York, NY 10019, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autosomal dominant polycystic kidney disease (ADPKD) eventually leads to end stage renal disease (ESRD) with an increase in size and number of cysts over time. Progression to ESRD has previously been shown to correlate with total kidney volume (TKV). An accurate and relatively simple method to perform measurement of TKV has been difficult to develop. We propose a semi-automated approach of calculating TKV inclusive of all cysts in ADPKD patients based on b0 images relatively quickly without requiring any calculations or additional MRI time. Our purpose is to evaluate the reliability and reproducibility of our method by raters of various training levels within the environment of an advanced 3D viewer. Thirty patients were retrospectively identified who had DWI performed as part of 1.5T MRI renal examination. Right and left TKVs were calculated by five radiologists of various training levels. Interrater reliability (IRR) was estimated by computing the intraclass correlation (ICC) for all raters. ICC values calculated for TKV measurements between the five raters were 0.989 (95% CI = (0.981, 0.994),

Indexed as

Polycystic Kidney, Autosomal DominantDisease ProgressionFeasibility StudiesHumansKidneyReproducibility of ResultsRetrospective Studiesb0kidney volumeMRIpolycystic kidney disease

Identifiers

PMID34698270
PMCPMC8544696

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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.