Evidence map›Paper›PMID 36952139›Full record

Article3D printing in medicine2023

Radiological Society of North America (RSNA) 3D Printing Special Interest Group (SIG) clinical situations for which 3D printing is considered an appropriate representation or extension of data contained in a medical imaging examination: breast conditions.

Elsa M Arribas, Tatiana Kelil, Lumarie Santiago, Arafat Ali, Seetharam C Chadalavada, Leonid Chepelev, Anish Ghodadra, Ciprian N Ionita, Joonhyuk Lee, Prashanth Ravi and 5 more

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Article in 3D printing in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. New Frontiers in Breast Cancer Imaging: The Rise of AI.Bioengineering (Basel, Switzerland) · 2024
    Review
  4. 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

15 authors.

Elsa M ArribasDivision of Diagnostic Imaging, Department of Breast Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. earribas@mdanderson.org.
Tatiana KelilDepartment of Radiology, University of California, 1600 Divisadero St, C250, Box 1667, San Francisco, CA, 94115, USA.
Lumarie SantiagoDivision of Diagnostic Imaging, Department of Breast Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Arafat AliDiagnostic Radiology, Henry Ford Medical Group, Henry Ford Hospital, 2799 W Grand Blvd, Detroit, MI, 48202, USA.
Seetharam C ChadalavadaDepartment of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Leonid ChepelevJoint Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
Anish GhodadraUPMC Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA.
Ciprian N IonitaDepartment of Biomedical Engineering, Jacobs School of Medicine and Biomedical Sciences at the University at Buffalo, University at Buffalo School of Engineering and Applied Sciences, 8052 Clinical Translational Research Center, 875 Ellicott Street, Buffalo, NY, 14203, USA.
Joonhyuk LeeUniversity of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA.
Prashanth RaviDepartment of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Justin R Ryan3D Innovations Lab, Rady Children's Hospital, San Diego, CA, USA.
Adnan M SheikhDepartment of Medical Imaging, Ottawa Hospital Research Institute (OHRI), The Ottawa Hospital, University of Ottawa, 501 Smyth Road, Ottawa, K1H 8L6, Canada.
Frank J RybickiDepartment of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
David H BallardMallinckrodt Institute of Radiology, Washington University, St Louis, MO, USA.
RSNA Special Interest 3D Printing Breast Conditions Voting Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of medical 3D printing has expanded dramatically for breast diseases. A writing group composed of the Radiological Society of North America (RSNA) Special Interest Group on 3D Printing (SIG) provides updated appropriateness criteria for breast 3D printing in various clinical scenarios. Evidence-based appropriateness criteria are provided for the following clinical scenarios: benign breast lesions and high-risk breast lesions, breast cancer, breast reconstruction, and breast radiation (treatment planning and radiation delivery).

Identifiers

PMID36952139
PMCPMC10037829

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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.