ArticleJournal of spine surgery (Hong Kong)2025
Ten-step technique for navigated tubular transforaminal and extraforaminal lumbar interbody fusion.
Article in Journal of spine surgery (Hong Kong), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Minimally invasive transforaminal lumbar interbody fusion (mTLIF) is an effective technique for treating degenerative lumbar spinal disorders that have failed nonoperative interventions and require fusion with or without decompression. mTLIF is technically challenging and requires significant experience with percutaneous instrumentation and microsurgical decompression techniques, which contributes to variability among surgeons and a challenging learning curve. Based on our extensive experience, we present a ten-step technique for performing mTLIF that integrates advanced technologies to enhance safety, efficiency, and reproducibility, and describe minimally invasive extraforaminal lumbar interbody fusion (mELIF), an intertransverse approach that serves as a valuable alternative-particularly in revision surgeries or cases with significant foraminal pathology-by minimizing dural exposure and reducing incidental tears. The objective is to present our experience and provide recommendations through detailed ten-step workflows for performing a total three-dimensional (3D) navigated tubular mTLIF and mELIF using expandable interbody cages and single-step navigated pedicle screws. We retrospectively reviewed our experience with mTLIF and mELIF procedures, based on a total of 350 cases, to develop step-by-step surgical techniques and workflows. These techniques were supplemented by illustrations and operative videos demonstrating the key steps. Our overview documents the key technical details for the reliable and reproducible performance of mTLIF and mELIF. Across 350 patients, complications occurred exclusively in the mTLIF cohort (2.1%), including cerebrospinal fluid (CSF) leak, wound infection, and hardware complications, with no neurological complications reported. Median hospital stay was shorter for mELIF (24 hours) compared to mTLIF (48 hours). Median follow-up time was 2.0 years. We present a comprehensive ten-step workflow for navigated mTLIF and mELIF. This workflow integrates three key features: (I) total 3D navigation, eliminating radiation exposure for the surgical team while minimizing radiation to the patient; (II) the use of expandable cages to enhance segmental lordosis; and (III) single-step navigated pedicle screws designed to streamline the surgical workflow. By providing clear and standardized workflows, we aim to support the education and training of surgeons, enabling consistent and safe outcomes.
Indexed as
Identifiers
What OpenQuestion holds
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.