Evidence map›Paper›PMID 29322072›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2018

Plan in 2-D, execute in 3-D: an augmented reality solution for cup placement in total hip arthroplasty.

Javad Fotouhi, Clayton P Alexander, Mathias Unberath, Giacomo Taylor, Sing Chun Lee, Bernhard Fuerst, Alex Johnson, Greg Osgood, Russell H Taylor, Harpal Khanuja and 2 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03606044 (Single-site Single-arm Feasibility Study of Patient-specific Interactive 3D Anatomical Models Aimed at Improving Surgery Planning Processes for Complex Renal Cancer Patients), which is not on this map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 8% of its field
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.

NCT03606044 completednot on this mapstarted 2019, after this paper: background citation

Single-site Single-arm Feasibility Study of Patient-specific Interactive 3D Anatomical Models Aimed at Improving Surgery Planning Processes for Complex Renal Cancer Patients

TypeobservationalSponsorDr Eoin R HydeRan2019 to 2019Enrolled24ConditionsKidney Neoplasms, Surgical OncologyArms3D-models
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Review
  6. STTAR: Surgical Tool Tracking Using Off-the-Shelf Augmented Reality Head-Mounted Displays.IEEE transactions on visualization and computer graphics · 2024
    Article
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  8. Review
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  11. Article
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  13. Augmented Reality in Spine Surgery: A Narrative Review.HSS journal : the musculoskeletal journal of Hospital for Special Surgery · 2021
    Review
  14. Review
  15. Article
  16. Review
  17. Co-localized augmented human and X-ray observers in collaborative surgical ecosystem.International journal of computer assisted radiology and surgery · 2019
    Article
  18. Interactive Flying Frustums (IFFs): spatially aware surgical data visualization.International journal of computer assisted radiology and surgery · 2019
    Article
  19. Article
  20. Article
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

12 authors at 1 institution in 1 country.

Javad FotouhiJohns Hopkins University, Computer Aided Medical Procedures, Baltimore, United States.
Clayton P AlexanderJohns Hopkins Hospital, Department of Orthopaedic Surgery, Baltimore, United States.
Mathias UnberathJohns Hopkins University, Computer Aided Medical Procedures, Baltimore, United States.ORCID https://orcid.org/0000-0002-0055-9950
Giacomo TaylorJohns Hopkins University, Computer Aided Medical Procedures, Baltimore, United States.
Sing Chun LeeJohns Hopkins University, Computer Aided Medical Procedures, Baltimore, United States.
Bernhard FuerstJohns Hopkins University, Computer Aided Medical Procedures, Baltimore, United States.
Alex JohnsonJohns Hopkins Hospital, Department of Orthopaedic Surgery, Baltimore, United States.
Greg OsgoodJohns Hopkins Hospital, Department of Orthopaedic Surgery, Baltimore, United States.
Russell H TaylorJohns Hopkins University, Laboratory for Computational Sensing and Robotics, Baltimore, United States.
Harpal KhanujaJohns Hopkins Hospital, Department of Orthopaedic Surgery, Baltimore, United States.
Mehran ArmandJohns Hopkins University, Laboratory for Computational Sensing and Robotics, Baltimore, United States.
Nassir NavabJohns Hopkins University, Computer Aided Medical Procedures, Baltimore, United States.
Johns Hopkins University · US

Funding

Training In Orthopaedic Team ScienceT32AR067708 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI JONES, LYNNE C., SHAFIQ, BABAR · 2015 to 2024
$2.0M
X-Ray Image-based Biomechanical Guidance for Hip SurgeryR21EB020113 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI ARMAND, MEHRAN · 2015 to 2016
$397k
NIAMS NIH HHS T32 AR067708NIBIB NIH HHS R21 EB020113
6 · The paper itself

Abstract

Reproducibly achieving proper implant alignment is a critical step in total hip arthroplasty procedures that has been shown to substantially affect patient outcome. In current practice, correct alignment of the acetabular cup is verified in C-arm x-ray images that are acquired in an anterior-posterior (AP) view. Favorable surgical outcome is, therefore, heavily dependent on the surgeon's experience in understanding the 3-D orientation of a hemispheric implant from 2-D AP projection images. This work proposes an easy to use intraoperative component planning system based on two C-arm x-ray images that are combined with 3-D augmented reality (AR) visualization that simplifies impactor and cup placement according to the planning by providing a real-time RGBD data overlay. We evaluate the feasibility of our system in a user study comprising four orthopedic surgeons at the Johns Hopkins Hospital and report errors in translation, anteversion, and abduction as low as 1.98 mm, 1.10 deg, and 0.53 deg, respectively. The promising performance of this AR solution shows that deploying this system could eliminate the need for excessive radiation, simplify the intervention, and enable reproducibly accurate placement of acetabular implants.

Indexed as

augmented realityintraoperative planningRGBD cameratotal hip arthroplastyx-ray

Identifiers

PMID29322072
PMCPMC5753431
OpenAlexW2781911236

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.