Evidence map›Paper›PMID 33052737›Full record

ArticleAJR. American journal of roentgenology2020

Data Augmentation and Transfer Learning to Improve Generalizability of an Automated Prostate Segmentation Model.

Thomas H Sanford, Ling Zhang, Stephanie A Harmon, Jonathan Sackett, Dong Yang, Holger Roth, Ziyue Xu, Deepak Kesani, Sherif Mehralivand, Ronaldo H Baroni and 10 more

Abstract read
In one paragraph

Article in AJR. American journal of roentgenology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Artifact-robust Deep Learning-based Segmentation of 3D Phase-contrast MR Angiography: A Novel Data Augmentation Approach.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Article
  9. Article
  10. AI in Prostate MRI: A Task-Based Review.Journal of the Korean Society of Radiology · 2025
    Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
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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

20 authors.

Thomas H SanfordCenter for Cancer Research, National Cancer Institute, National Institutes of Health, Bldg 10, Rm B3B85, Bethesda MD 20892.
Ling ZhangNVIDIA Corporation, Bethesda, MD.
Stephanie A HarmonCenter for Cancer Research, National Cancer Institute, National Institutes of Health, Bldg 10, Rm B3B85, Bethesda MD 20892.
Jonathan SackettCenter for Cancer Research, National Cancer Institute, National Institutes of Health, Bldg 10, Rm B3B85, Bethesda MD 20892.
Dong YangNVIDIA Corporation, Bethesda, MD.
Holger RothNVIDIA Corporation, Bethesda, MD.
Ziyue XuNVIDIA Corporation, Bethesda, MD.
Deepak KesaniCenter for Cancer Research, National Cancer Institute, National Institutes of Health, Bldg 10, Rm B3B85, Bethesda MD 20892.
Sherif MehralivandCenter for Cancer Research, National Cancer Institute, National Institutes of Health, Bldg 10, Rm B3B85, Bethesda MD 20892.
Ronaldo H BaroniDiagnostic Imaging Department, Albert Einstein Hospital, Sao Paulo, Brazil.
Tristan BarrettUniversity of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Rossano GiromettiDepartment of Radiology, University of Udine, Udine, Italy.
Aytekin OtoDepartment of Radiology, University of Chicago, Chicago, IL.
Andrei S PuryskoDepartment of Radiology, Cleveland Clinic, Cleveland, OH.
Sheng XuCenter for Cancer Research, National Cancer Institute, National Institutes of Health, Bldg 10, Rm B3B85, Bethesda MD 20892.
Peter A PintoCenter for Cancer Research, National Cancer Institute, National Institutes of Health, Bldg 10, Rm B3B85, Bethesda MD 20892.
Daguang XuNVIDIA Corporation, Bethesda, MD.
Bradford J WoodCenter for Cancer Research, National Cancer Institute, National Institutes of Health, Bldg 10, Rm B3B85, Bethesda MD 20892.
Peter L ChoykeCenter for Cancer Research, National Cancer Institute, National Institutes of Health, Bldg 10, Rm B3B85, Bethesda MD 20892.
Baris TurkbeyCenter for Cancer Research, National Cancer Institute, National Institutes of Health, Bldg 10, Rm B3B85, Bethesda MD 20892.

Funding

Prostate Cancer ImagingZIABC010655 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHOYKE, PETER L · 2009 to 2025
$49.2M
Center for Interventional OncologyZIDBC011242 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WOOD, BRADFORD J · 2009 to 2025
$18.7M
Prostate Cancer ImagingZ01BC010655 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHOYKE, PETER L · 2005 to 2008
$2.1M
Prostate SectionZ01BC011081 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI PINTO, PETER · 2008 to 2008
$99k
CCR NIH HHS HHSN261200800001CIntramural NIH HHS Z01 BC010655Intramural NIH HHS Z01 BC011081Intramural NIH HHS ZID BC011242NCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Magnetic Resonance ImagingPattern Recognition, AutomatedDatasets as TopicDeep LearningHumansMaleMiddle AgedProstatic NeoplasmsRetrospective Studiesartificial intelligenceprostate MRIsegmentation

Identifiers

PMID33052737
PMCPMC8974988

What OpenQuestion holds

Textmetadata
LicenceTDM
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.