Evidence map›Paper›PMID 34863317›Full record

ArticleKnee surgery & related research2021

The use of imageless navigation to quantify cutting error in total knee arthroplasty.

Ran Schwarzkopf, Morteza Meftah, Scott E Marwin, Michelle A Zabat, Jeffrey M Muir, Iain R Lamb

Open access · diamondAbstract read
In one paragraph

Article in Knee surgery & related research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.7field-weighted citation impact, top 9% 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.

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

7 citing papers in PubMed, 16 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Ran SchwarzkopfDepartment of Orthopaedic Surgery, NYU Langone Health, NYU Langone Orthopedic Hospital, 301 East 17th Street, New York, NY, 10003, USA. Ran.Schwarzkopf@nyulangone.org.
Morteza MeftahDepartment of Orthopaedic Surgery, NYU Langone Health, NYU Langone Orthopedic Hospital, 301 East 17th Street, New York, NY, 10003, USA.
Scott E MarwinDepartment of Orthopaedic Surgery, NYU Langone Health, NYU Langone Orthopedic Hospital, 301 East 17th Street, New York, NY, 10003, USA.
Michelle A ZabatDepartment of Orthopaedic Surgery, NYU Langone Health, NYU Langone Orthopedic Hospital, 301 East 17th Street, New York, NY, 10003, USA.ORCID http://orcid.org/0000-0001-7121-9219
Jeffrey M MuirIntellijoint Surgical, Kitchener, ON, Canada.
Iain R LambIntellijoint Surgical, Kitchener, ON, Canada.
New York University Langone Orthopedic Hospital · USIntellijoint Surgical (Canada) · CANYU Langone Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNavigated total knee arthroplasty (TKA) improves implant alignment by providing feedback on resection parameters based on femoral and tibial cutting guide positions. However, saw blade thickness, deflection, and cutting guide motion may lead to final bone cuts differing from planned resections, potentially contributing to suboptimal component alignment. We used an imageless navigation device to intraoperatively quantify the magnitude of error between planned and actual resections, hypothesizing final bone cuts will differ from planned alignment. MATERIALS AND

methodsA retrospective study including 60 consecutive patients undergoing primary TKA using a novel imageless navigation device was conducted. Device measurements of resection parameters were obtained via attachment of optical trackers to femoral and tibial cutting guides prior to resection. Following resection, optical trackers were placed directly on the bone cut surface and measurements were recorded. Cutting guide and bone resection measurements of both femoral and tibial varus/valgus, femoral flexion, tibial slope angles, and both femoral and tibial medial and lateral resection depths were compared using a Student's t-test.

resultsFemoral cutting guide position differed from the actual cut by an average 0.6 ± 0.5° (p = 0.85) in the varus/valgus angle and 1.0 ± 1.0° (p = 0.003) in the flexion/extension angle. The difference between planned and actual cut measurements for medial and lateral femoral resection depth was 1.1 ± 1.1 mm (p = 0.32) and 1.2 ± 1.0 mm (p = 0.067), respectively. Planned cut measurements based on tibial guide position differed from the actual cut by an average of 0.9 ± 0.8° (p = 0.63) in the varus/valgus angle and 1.1 ± 1.0° (p = 0.95) in slope angle. Measurement of medial and lateral tibial resection depth differed by an average of 0.1 ± 1.8 mm (p = 0.78) and 0.2 ± 2.1 mm (p = 0.85), respectively.

conclusionsSignificant discrepancies between planned and actual femoral bone resection were demonstrated for flexion/extension angle, likely the result of cutting error. Our data highlights the importance of cut verification postresection to confirm planned resections are achieved, and suggests imageless navigation may be a source of feedback that would allow surgeons to intraoperatively adjust resections to achieve optimal implant alignment.

Indexed as

ArthroplastyComputer-assisted navigationKneeNavigated TKAOsteoarthritisSaw blade deflection

Identifiers

PMID34863317
PMCPMC8645113
OpenAlexW4200456197

What OpenQuestion holds

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LicenceCC BY
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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.