Evidence map›Paper›PMID 33954225›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2021

Reproducibility of radiomic features using network analysis and its application in Wasserstein

Jung Hun Oh, Aditya P Apte, Evangelia Katsoulakis, Nadeem Riaz, Vaios Hatzoglou, Yao Yu, Usman Mahmood, Harini Veeraraghavan, Maryam Pouryahya, Aditi Iyer and 4 more

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

14 authors.

Jung Hun OhMemorial Sloan Kettering Cancer Center, Department of Medical Physics, New York, United States.ORCID https://orcid.org/0000-0001-8791-2755
Aditya P ApteMemorial Sloan Kettering Cancer Center, Department of Medical Physics, New York, United States.
Evangelia KatsoulakisVeterans Affairs, James A Haley, Department of Radiation Oncology, Tampa, Florida, United States.
Nadeem RiazMemorial Sloan Kettering Cancer Center, Department of Radiation Oncology, New York, United States.
Vaios HatzoglouMemorial Sloan Kettering Cancer Center, Department of Radiology, New York, United States.
Yao YuMemorial Sloan Kettering Cancer Center, Department of Radiation Oncology, New York, United States.
Usman MahmoodMemorial Sloan Kettering Cancer Center, Department of Medical Physics, New York, United States.ORCID https://orcid.org/0000-0002-5170-5794
Harini VeeraraghavanMemorial Sloan Kettering Cancer Center, Department of Medical Physics, New York, United States.ORCID https://orcid.org/0000-0002-4054-5529
Maryam PouryahyaMemorial Sloan Kettering Cancer Center, Department of Medical Physics, New York, United States.
Aditi IyerMemorial Sloan Kettering Cancer Center, Department of Medical Physics, New York, United States.
Amita Shukla-DaveMemorial Sloan Kettering Cancer Center, Department of Medical Physics, New York, United States.ORCID https://orcid.org/0000-0001-7456-3197
Allen TannenbaumStony Brook University, Department of Computer Science, Stony Brook, New York, United States.
Nancy Y LeeMemorial Sloan Kettering Cancer Center, Department of Radiation Oncology, New York, United States.
Joseph O DeasyMemorial Sloan Kettering Cancer Center, Department of Medical Physics, New York, United States.ORCID https://orcid.org/0000-0002-9437-266X

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Glymphatic function in a transgenic rat model of Alzheimer's diseaseR01AG048769 · NIA · UNIVERSITY OF ROCHESTER · PI BENVENISTE, HELENE D, NEDERGAARD, MAIKEN · 2014 to 2018
$1.4M
Radiotherapy-associated breast cancer: machine learning on genotypes to predict individualized riskR21CA234752 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI BERNSTEIN, JONINE L., OH, JUNG HUN · 2020 to 2021
$462k
NCI NIH HHS P30 CA008748NCI NIH HHS R21 CA234752NIA NIH HHS R01 AG048769
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

network-based Wasserstein k-means clusteringradiomicsreproducibilityWasserstein distance

Identifiers

PMID33954225
PMCPMC8085581

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.