Evidence map›Paper›PMID 38440411›Full record

ArticleJournal of orthopaedics2024

Improved intra-operative decision making in RA-TKR with the help of pre-operative CT scan.

Ravikumar Mukartihal, S R Arun, Sharan S Patil, A V Gurava Reddy, Adarsh Annapareddy, V Ratnakar, Rajdeep das, Shrishti Sharan Patil

Abstract read
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Article in Journal of orthopaedics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ravikumar MukartihalDepartment of Orthopedics Sparsh Group of Hospitals, Infantry Road, Bangalore, Karnataka, 560001, India.
S R ArunDepartment of Orthopedics Sparsh Group of Hospitals, Infantry Road, Bangalore, Karnataka, 560001, India.
Sharan S PatilDepartment of Orthopedics Sparsh Group of Hospitals, Infantry Road, Bangalore, Karnataka, 560001, India.
A V Gurava ReddyDepartment of Orthopedics Sunshine Hospitals, Hyderabad, Telangana, 500003, India.
Adarsh AnnapareddyDepartment of Orthopedics Sunshine Hospitals, Hyderabad, Telangana, 500003, India.
V RatnakarDepartment of Orthopedics Sunshine Hospitals, Hyderabad, Telangana, 500003, India.
Rajdeep dasDepartment of Orthopedics Sparsh Group of Hospitals, Infantry Road, Bangalore, Karnataka, 560001, India.
Shrishti Sharan PatilDepartment of Orthopedics Sparsh Group of Hospitals, Infantry Road, Bangalore, Karnataka, 560001, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Robotic-assisted total knee replacement (RA-TKR) is a significant advancement in orthopedic surgery, but intra-operative decision-making remains challenging. Pre-operative imaging techniques, particularly CT scans, have gained momentum, providing insights into the patient's anatomy, improving implant positioning and alignment. However, further research is needed to explore their influence on RA-TKR planning and execution. Materials and methods: The hospital based cross-sectional study was conducted in Orthopedics department of Sparsh Speciality Hospital, Bangalore & Sunshine Hospital, Hyderabad. A total of 1020 participants in the age group over 50 years during the study period were included based on convenient sampling. The axial CT images were taken preoperatively and RA-TKA was done for all the patients. Results: The study participant's average age was 64.01 ± 7.13. Out of 1020 patients 259 (24.4%) were males and 761 (74.6%) were females. The median femoral, tibia and Polyethylene predicted and the actual component were same with the side of surgery and BMI. The median femoral predicted actual component was significantly higher among the age category of more than 80 years when compared to other age groups. The median femoral, tibia and Polyethylene predicted was higher in males when compared to females. Conclusion: Pre-operative CT scans enhance RA-TKR procedures by providing precise anatomical insights, enhancing implant placement, and identifying potential issues, improving surgical outcomes and patient satisfaction.

Indexed as

ArthroplastyImplant sizesKneeOutcomeRobotic surgeryTotal knee arthroplasty

Identifiers

PMID38440411
PMCPMC10909574

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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.