Evidence map›Paper›PMID 36522770›Full record

ArticleJournal of orthopaedic surgery and research2022

Kambin's triangle-related data based on magnetic resonance neurography and its role in percutaneous transforaminal endoscopic lumbar interbody fusion.

Tianqi Li, Gang Wu, Yongle Dong, Zhiwei Song, Haijun Li

Open access · goldAbstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Computed tomography imaging for exploring the appropriate angle of a visible Trephine in endoscopic spine lumbar interbody fusion.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  4. A Mixed-Reality Navigation Simulator for Training Infiltration Procedures of the Spine: Evaluation in Kambin Triangle Location.The international journal of medical robotics + computer assisted surgery : MRCAS · 2026
    Article
  5. Article
  6. 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

5 authors at 4 institutions in 1 country.

Tianqi LiPostgraduate Training Base of Dalian Medical University, Taizhou People's Hospital, Jiangsu, 225300, China.
Gang WuDepartment of Orthopedics, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, 366 Taihu Road, Taizhou, 225300, Jiangsu, China.
Yongle DongPostgraduate Training Base of Dalian Medical University, Taizhou People's Hospital, Jiangsu, 225300, China.
Zhiwei SongPostgraduate Training Base of Nantong University, Taizhou People's Hospital, Jiangsu, 225300, China.
Haijun LiDepartment of Orthopedics, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, 366 Taihu Road, Taizhou, 225300, Jiangsu, China. 13901436563@139.com.
Nantong University · CNDalian Medical University · CNNanjing Medical University · CNTaizhou People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe percutaneous transforaminal endoscopic lumbar interbody fusion (PETLIF) has many advantages as a new minimally invasive surgical technique, and its surgical approach passes through the Kambin's triangle. One of the greatest challenges in completing PETLIF is avoiding nerve root damage. In previous studies, the relevant anatomic data do not correspond well with current surgical techniques, and there is a paucity of studies based on magnetic resonance neurography (MRN), which is the clearest imaging method for nerve roots. The purpose of this study was to analyze the safety of the PETLIF at each lumbar segment based on measured results from the MRN imaging data and to propose a novel method of intraoperative positioning.

methodsThe coronal images with the clearest course of nerve roots were chosen for retrospective observation. During the PETLIF, the secure region of the operation was considered to be a trapezium. The following parameters were measured, respectively: trapezoid area, height, and median line length, as well as the relevant parameters of the positional relation between the point "O," the most secure operating center point of the secure region, and each osseous anatomic landmark. And the data were compared with the size of the cage to obtain safety.

resultsAt L1-S1, with the downward motion of the target intervertebral space, the area increased from (67.94 ± 15.22) mm

conclusionsThe MRN allows clearer and more accurate visualization of the nerve roots, and the basic anatomic study of the Kambin's triangle based on this technology is of practical clinical significance. In the current study, it is believed that, during the PETLIF, cage implantation is the safest at L4-L5, followed by L5-S1; L1-L3 is more likely to cause nerve root injury, and L3-L4 is not less likely. To improve safety, a comprehensive individualized imaging assessment should be performed before surgery. This study also provides an easy method of intraoperative localization, which helps avoid nerve root injury.

Indexed as

Peripheral Nerve InjuriesRadiculopathySpinal FusionEndoscopyHumansLumbar VertebraeMagnetic Resonance SpectroscopyRetrospective StudiesKambin's triangleMagnetic resonance neurography of the lumbar nerve roots (MRN)Percutaneous transforaminal endoscopic lumbar interbody fusion (PETLIF)Positioning methodSecure region

Identifiers

PMID36522770
PMCPMC9756519
OpenAlexW4311802493

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.