Evidence map›Paper›PMID 40718315›Full record

ArticleCureus2025

Integration of Machine Vision Technology in the Treatment of Pediatric Spinal Deformities.

Zachary R Visco, Nathaniel C Adams, Alexandra N Johnson, Joseph D Stone, James O Sanders, Stuart L Mitchell

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Zachary R ViscoDepartment of Orthopaedics, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, USA.
Nathaniel C AdamsDepartment of Orthopaedics, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, USA.
Alexandra N JohnsonDepartment of Orthopaedics, Ballad Health, Johnson City, USA.
Joseph D StoneDepartment of Orthopaedics, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, USA.
James O SandersDepartment of Orthopaedics, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, USA.
Stuart L MitchellDepartment of Orthopaedics, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe study aimed to describe the use of the 7D FLASH Surgical System (Orthofix, Lewisville, USA), an intraoperative navigation tool, for complex pediatric spinal surgery. The authors present their techniques and recommendations for successfully implementing and utilizing this system.

methodsWe retrospectively identified all pediatric orthopaedic spinal surgeries utilizing the 7D FLASH System between July 2022 and January 2024. Pediatric patients with various spinal pathologies who underwent surgery by our institution's pediatric orthopaedic surgeons were included. Data collected encompassed surgical indications, instrumented levels, and 7D imaging registration information. The 7D data included the number of FLASH image registrations per case, the number of "FLASH Fixes" performed per case, and the average time required for each registration. These data were summarized using descriptive statistics. We also describe our intraoperative workflow and technical pearls in detail.

resultsAround 59 patients underwent posterior spinal fusion, and one patient had a cervical intracanal osteochondroma resection. A total of 644 levels were fused, with an average construct length of 10.91 ± 3.55 levels. The average device registration time was 59.36 ± 20.38 seconds. For the patients undergoing fusion, 1.53 ± 0.83 levels were instrumented per registration event. Around 22 patients required at least one "FLASH Fix" (n = 29 total Fixes), taking an average of 16.54 seconds per "FLASH Fix."

conclusionsSurgical navigation has become increasingly prevalent in recent years, although it typically necessitates the use of one or more intraoperative computed tomography (CT) scans. The quick device registration times and the capacity to instrument multiple levels per registration event imply that machine vision navigation technology may enhance intraoperative workflow efficiency compared to traditional intraoperative CT-based navigation, potentially reducing anesthesia time and radiation exposure. LEVEL OF EVIDENCE: The study is classified as level IV evidence.

Indexed as

7d surgical systemintraoperative navigationnew technology in spine surgerypediatric orthopaedicsposterior spinal fusion

Identifiers

PMID40718315
PMCPMC12296202

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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.