Evidence map›Paper›PMID 42310160›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2026

Identification of a saddle point (SP) for safe sacral segment channel planning via data analysis and rapid physical prototyping.

Weixin Li, Tao Wu, Yicha Zhang

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Article in 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. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Weixin LiHunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems, Xiangnan Coll Affiliated Rehabil Hosp., Xiangnan University, Chenzhou, China.
Tao WuDepartment of Radiology, Affiliated Hospital (Clinical College), Xiangnan University, Chenzhou, China.
Yicha ZhangLAMIH UMR CNRS 8201, Université Polytechnique Hauts-de-France, Institut National des Sciences Appliquées de Hauts-de-France, Valenciennes, France. yicha.zhang@uphf.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces a novel geometric marker, derived from CT image data analysis via grey theory and prototyping verification, to enhance the planning of sacroiliac joint screw placement, aiming at optimizing safety. A dataset comprising 107 adult cases with hip thin-slice CT scans in DICOM format was collected for statistical analysis. The sacral bone model was segmented from the scanning data sets to facilitate planning for sacroiliac screw surgery. The saddle point (SP), located at the intersection of the contralateral sacral promontory and the sacral wing, was identified as the target direction for needle insertion. The entry point on the anterior convexity and posterior concavity of the ear-shaped surface was connected to the posterior superior aspect to determine the retrograde positioning of the screw channel. Utilizing a home-made software, E3D, the safe channel was visualized using three cross-sectional views with the screw channel as the axis. Adjustment of the central screw channel's position in the transverse and coronal planes facilitated its establishment. The distances between the highest (up, u) and lowest (down, d) entry points on the ear-shaped surface (ud, mm), as well as the distances between the most anterior (ahead, a) and most posterior (back, b) points (ba, mm), were measured to approximate the area (surface, s, mm

Indexed as

Sacral segment channel planningSacroiliac screw surgerySaddle point, statistical analysis, rapid prototyping

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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.