Quantitative anatomical analysis of lumbar interspaces based on 3D CT imaging : optimized segment selection for lumbar puncture in different age groups

© 2024. The Author(s)..

BACKGROUND: Optimal lumbar puncture segment selection remains controversial. This study aims to analyze anatomical differences among L3-4, L4-5, and L5-S1 segments across age groups and provide quantitative evidence for optimized selection.

METHODS: 80 cases of CT images were collected with patients aged 10-80 years old. Threedimensional models containing L3-S1 vertebrae, dural sac, and nerve roots were reconstructed. Computer simulation determined the optimal puncture angles for the L3-4, L4-5, and L5-S1 segments. The effective dural sac area (ALDS), traversing nerve root area (ATNR), and area of the lumbar inter-laminar space (ALILS) were measured. Puncture efficacy ratio (ALDS/ALILS) and nerve injury risk ratio (ATNR/ALILS) were calculated. Cases were divided into four groups: A (10-20 years), B (21-40 years), C (41-60 years), and D (61-80 years). Statistical analysis was performed using SPSS.

RESULTS: 1) ALDS was similar among segments; 2) ATNR was greatest at L5-S1; 3) ALILS was greatest at L5-S1; 4) Puncture efficacy ratio was highest at L3-4 and lowest at L5-S1; 5) Nerve injury risk was highest at L5-S1. In group D, L5-S1 ALDS was larger than L3-4 and L4-5. ALDS decreased after age 40. Age variations were minimal across parameters.

CONCLUSION: The comprehensive analysis demonstrated L3-4 as the optimal first-choice segment for ages 10-60 years, conferring maximal efficacy and safety. L5-S1 can serve as an alternative option for ages 61-80 years when upper interspaces narrow. This study provides quantitative imaging evidence supporting age-specific, optimized lumbar puncture segment selection.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:66

Enthalten in:

Neuroradiology - 66(2024), 3 vom: 07. Feb., Seite 443-455

Sprache:

Englisch

Beteiligte Personen:

Zhuang, Yuan-Dong [VerfasserIn]
Hu, Xiao-Cong [VerfasserIn]
Dai, Ke-Xin [VerfasserIn]
Ye, Jun [VerfasserIn]
Zhang, Chen-Hui [VerfasserIn]
Zhuo, Wen-Xuan [VerfasserIn]
Wu, Jian-Feng [VerfasserIn]
Liu, Shi-Chao [VerfasserIn]
Liang, Ze-Yan [VerfasserIn]
Chen, Chun-Mei [VerfasserIn]

Links:

Volltext

Themen:

3D modeling
Age factor
Efficacy ratio
Journal Article
Lumbar puncture
Segment selection

Anmerkungen:

Date Completed 14.02.2024

Date Revised 14.02.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1007/s00234-023-03272-0

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM366740385