Evidence map›Paper›PMID 35685120›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2022

Impact of continuous learning on diagnostic breast MRI AI: evaluation on an independent clinical dataset.

Hui Li, Heather M Whitney, Yu Ji, Alexandra Edwards, John Papaioannou, Peifang Liu, Maryellen L Giger

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Application of Machine Learning to Breast MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Review
  5. Article
  6. Machine learning and new insights for breast cancer diagnosis.The Journal of international medical research · 2024
    Review
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

7 authors.

Hui LiUniversity of Chicago, Department of Radiology, Chicago, Illinois, United States.ORCID https://orcid.org/0000-0003-3139-2898
Heather M WhitneyUniversity of Chicago, Department of Radiology, Chicago, Illinois, United States.ORCID https://orcid.org/0000-0002-7258-1102
Yu JiTianjin Medical University, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Department of Breast Imaging, Tianjin, China.
Alexandra EdwardsUniversity of Chicago, Department of Radiology, Chicago, Illinois, United States.
John PapaioannouUniversity of Chicago, Department of Radiology, Chicago, Illinois, United States.
Peifang LiuTianjin Medical University, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Department of Breast Imaging, Tianjin, China.ORCID https://orcid.org/0000-0002-7333-0110
Maryellen L GigerUniversity of Chicago, Department of Radiology, Chicago, Illinois, United States.ORCID https://orcid.org/0000-0001-5482-9728

Funding

Quantitative Image Analysis for Assessing Response to Breast Cancer TherapyU01CA195564 · NCI · UNIVERSITY OF CHICAGO · PI GIGER, MARYELLEN L. · 2015 to 2019
$2.5M
Assessment of Repeatability and Robustness of Radiomics in Breast Cancer ImagingR15CA227948 · NCI · WHEATON COLLEGE · PI WHITNEY, HEATHER M · 2019 to 2019
$397k
Protected Radiomics Analysis Commons for Deep Learning in Biomedical DiscoveryS10OD025081 · OD · UNIVERSITY OF CHICAGO · PI GIGER, MARYELLEN L. · 2018 to 2018
$339k
NCI NIH HHS R15 CA227948NCI NIH HHS U01 CA195564NIH HHS S10 OD025081
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencebreast cancerCADcontinuous learningdynamic contrast-enhanced magnetic resonance imagingmachine learning

Identifiers

PMID35685120
PMCPMC9168763

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.