Evidence map›Paper›PMID 34514033›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2021

Quantitative image features from radiomic biopsy differentiate oncocytoma from chromophobe renal cell carcinoma.

Akshay Jaggi, Domenico Mastrodicasa, Gregory W Charville, R Brooke Jeffrey, Sandy Napel, Bhavik Patel

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

6 authors.

Akshay JaggiStanford University School of Medicine, Department of Radiology, Stanford, California, United States.ORCID https://orcid.org/0000-0002-7493-6958
Domenico MastrodicasaStanford University School of Medicine, Department of Radiology, Stanford, California, United States.ORCID https://orcid.org/0000-0001-8227-0757
Gregory W CharvilleStanford University School of Medicine, Department of Pathology, Stanford, California, United States.
R Brooke JeffreyStanford University School of Medicine, Department of Radiology, Stanford, California, United States.
Sandy NapelStanford University School of Medicine, Department of Radiology, Stanford, California, United States.ORCID https://orcid.org/0000-0002-6876-5507
Bhavik PatelMayo Clinic Arizona, Department of Radiology, Phoenix, Arizona, United States.

Funding

Multi-Disciplinary Training Program in Cardiovascular Imaging at StanfordT32EB009035 · NIBIB · STANFORD UNIVERSITY · PI Koen Nieman, John M. Pauly · 2008 to 2026
$4.3M
Qualification and Deployment of Imaging Biomarkers of Cancer Treatment ResponseU01CA190214 · NCI · STANFORD UNIVERSITY · PI RUBIN, DANIEL L · 2015 to 2020
$3.1M
Tools for Linking and Mining image and Genomic Data in Non-Small Cell Lung CancerR01CA160251 · NCI · STANFORD UNIVERSITY · PI NAPEL, SANDY A., PLEVRITIS, SYLVIA KATINA · 2011 to 2015
$2.9M
Computing, Optimizing, and Evaluating Quantitative Cancer Imaging BiomarkersU01CA187947 · NCI · STANFORD UNIVERSITY · PI NAPEL, SANDY A., RUBIN, DANIEL L · 2015 to 2019
$2.9M
NCI NIH HHS R01 CA160251NCI NIH HHS U01 CA187947NCI NIH HHS U01 CA190214NIBIB NIH HHS T32 EB009035
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

chromophobe renal cell carcinomacomputed tomographykidneymachine learningoncocytomaradiomics

Identifiers

PMID34514033
PMCPMC8423237

What OpenQuestion holds

Textmetadata
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.