Evidence map›Paper›PMID 31694719›Full record

ArticleJournal of orthopaedic surgery and research2019

Tissue discrimination by bioelectrical impedance during PLL resection in anterior decompression surgery for treatment of cervical spondylotic myelopathy.

Fuqiang Shao, He Bai, Muyao Tang, Yuan Xue, Yu Dai, Jianxun Zhang

Open access · goldAbstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.9field-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, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. AI-driven tissue discrimination sensing methods for robot-assisted spine surgery: a state-of-the-art review.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
    Review
  3. Article
  4. Article
  5. Article
  6. Review
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 4 institutions in 2 countries.

Fuqiang ShaoDepartment of Orthopedics Surgery, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, 300052, Tianjin, People's Republic of China.
He BaiDepartment of Orthopedics Surgery, Inner Mongolia Cancer Hospital & Affiliated People's Hospital of Inner Mongolia Medical University, 42 Zhao wuda Road, Hohhot, 010020, Inner Mongolia, People's Republic of China.
Muyao TangExperimental Trauma Surgery, Justus-Liebig University Giessen, Aulweg 128, 35392, Giessen, Germany.
Yuan XueDepartment of Orthopedics Surgery, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, 300052, Tianjin, People's Republic of China. xueyuanzyy@163.com.
Yu DaiInstitute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, College of Computer and Control Engineering, Nankai University, 94 Weijin Road, Nankai District, 300071, Tianjin, People's Republic of China. daiyu@nankai.edu.cn.
Jianxun ZhangInstitute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, College of Computer and Control Engineering, Nankai University, 94 Weijin Road, Nankai District, 300071, Tianjin, People's Republic of China.
Nankai University · CNTianjin Medical University General Hospital · CNInner Mongolia Medical University · CNUniversity of Giessen · DE

Funding

National Natural Science Foundation of China 30973024National Natural Science Foundation of China 61773223National Natural Science Foundation of China 81471403National Natural Science Foundation of China 81871124Natural Science Foundation of Tianjin 18JCYBJC18800
6 · The paper itself

Abstract

backgroundThe electrical properties of biological tissues differ depending on their physical properties. This study aimed to explore if bioelectrical impedance (modulus and phase) would discriminate tissues relevant to resection of the posterior longitudinal ligament (PLL) in anterior cervical decompression surgery.

methodsPLL resection via an anterior approach was performed on the C4/5 segments in six mini-pigs. The bioelectrical impedance measurements were performed for two tissue groups (annulus fibrosus, endplate cartilage, sub-endplate cortical bone, and PLL; PLL, dura mater, spinal cord, and nerve root) using a novel probe and a precision inductance-capacitance-resistance meter. For each group, impedance was analyzed in terms of modulus and phase along a broad spectrum of frequencies (200-3000 kHz) using a nonparametric statistical analysis (Kruskal-Wallis).

resultsThe analysis showed a clear difference among the tissues. The modulus and phase show the same changing trend with frequency and present lower values at higher frequencies. Among annulus fibrosus, endplate cartilage, sub-endplate cortical bone, and PLL, it was possible to discriminate each tissue at every frequency point, considering the phase (p < 0.05), while this was not always the case (i.e., annulus fibrosus vs PLL at frequency of 200 kHz, 400 kHz, and 3000 kHz, p > 0.05) for modulus. Among PLL, dura mater, spinal cord, and nerve root, for every comparison, a statistically significant difference was reported in the modulus, phase, or both (p < 0.05).

conclusionsThe results indicated the potential of bioelectrical impedance to provide real-time tissue differentiation and enhance safe PLL resection in anterior cervical decompression surgery, particularly in robot-assisted minimally invasive surgery (RMIS).

Indexed as

AnimalsCervical VertebraeDecompression, SurgicalElectric ImpedanceFemaleLongitudinal LigamentsMaleSpinal Cord DiseasesSpondylosisSwineSwine, MiniatureTreatment OutcomeAnterior cervical discectomy and fusionBioelectrical impedanceCervical spondylotic myelopathyPosterior longitudinal ligamentRobot-assisted minimally invasive surgeryTissue discrimination

Identifiers

PMID31694719
PMCPMC6836645
OpenAlexW2985948602

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.