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Duan Y, Feng D, Li T, Wang Y, Jiang L, Huang Y. Comparison of Lumbar Interbody Fusion with 3D-Printed Porous Titanium Cage Versus Polyetheretherketone Cage in Treating Lumbar Degenerative Disease: A Systematic Review and Meta-Analysis. World Neurosurg 2024; 183:144-156. [PMID: 38145654 DOI: 10.1016/j.wneu.2023.12.111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 12/19/2023] [Indexed: 12/27/2023]
Abstract
OBJECTIVE To compare the safety and radiological effectiveness of lumbar interbody fusion with a 3D-printed porous titanium (3D-PPT) cage versus a polyetheretherketone (PEEK) cage for the treatment of lumbar degenerative disease. METHODS This study was registered at PROSPERO (CRD42023461511). We systematically searched the PubMed, Embase, and Web of Science databases for related studies from inception to September 3, 2023. Review Manager 5.3 was used to conduct this meta-analysis. The reoperation rate, complication rate, fusion rate, and subsidence rate were assessed using relative risk and 95% confidence intervals. RESULTS Ten articles reporting 9 studies comparing lumbar interbody fusion with 3D-PPT cages versus PEEK cages for the treatment of lumbar degenerative disease were included. The subsidence rate at the 1-year follow-up in the 3D-PPT cage was significantly lower than that in the PEEK cage. The fusion rate in the 3D-PPT cage was significantly higher than that in the PEEK cage at the 6-month follow-up. No significant difference was identified between the 2 groups at the 12-month follow-up. No significant difference was identified between the 2 groups in terms of the complication rate and reoperation rate. There was a trend toward a lower complication rate and reoperation rate with the 3D-PPT cage. CONCLUSIONS Compared with the PEEK cage, the 3D-PPT cage may be a safer implant. The 3D-PPT cage was associated with a higher fusion rate and lower subsidence rate. The 3D-PPT cage may accelerate the intervertebral fusion process, improve the quality of fusion and prevent the occurrence of subsidence.
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Affiliation(s)
- Yuchen Duan
- Department of Orthopedics, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| | - Dagang Feng
- Department of Orthopedics, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| | - Tong Li
- Department of Orthopedics, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| | - Yiran Wang
- Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| | - Leiming Jiang
- Department of Orthopedics, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
| | - Yong Huang
- Department of Orthopedics, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.
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Subramanian T, Merrill RK, Shahi P, Pathania S, Araghi K, Maayan O, Zhao E, Shinn D, Kim YE, Kamil R, Song J, Dalal SS, Vaishnav AS, Othman Y, Steinhaus ME, Sheha ED, Dowdell JE, Iyer S, Qureshi SA. Predictors of Subsidence and its Clinical Impact After Expandable Cage Insertion in Minimally Invasive Transforaminal Interbody Fusion. Spine (Phila Pa 1976) 2023; 48:1670-1678. [PMID: 36940252 DOI: 10.1097/brs.0000000000004619] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 02/27/2023] [Indexed: 03/22/2023]
Abstract
STUDY DESIGN Retrospective review of prospectively collected multisurgeon data. OBJECTIVE Examine the rate, clinical impact, and predictors of subsidence after expandable minimally invasive transforaminal lumbar interbody fusion (MI-TLIF) cage. SUMMARY OF BACKGROUND DATA Expandable cage technology has been adopted in MI-TLIF to reduce the risks and optimize outcomes. Although subsidence is of particular concern when using expandable technology as the force required to expand the cage can weaken the endplates, its rates, predictors, and outcomes lack evidence. MATERIALS AND METHODS Patients who underwent 1 or 2-level MI-TLIF using expandable cages for degenerative lumbar conditions and had a follow-up of >1 year were included. Preoperative and immediate, early, and late postoperative radiographs were reviewed. Subsidence was determined if the average anterior/posterior disc height decreased by >25% compared with the immediate postoperative value. Patient-reported outcomes were collected and analyzed for differences at the early (<6 mo) and late (>6 mo) time points. Fusion was assessed by 1-year postoperative computed tomography. RESULTS One hundred forty-eight patients were included (mean age, 61 yr, 86% 1-level, 14% 2-level). Twenty-two (14.9%) demonstrated subsidence. Although statistically not significant, patients with subsidence were older, had lower bone mineral density, and had higher body mass index and comorbidity burden. Operative time was significantly higher ( P = 0.02) and implant width was lower ( P < 0.01) for subsided patients. Visual analog scale-leg was significantly lower for subsided patients compared with nonsubsided patients at a >6 months time point. Long-term (>6 mo) patient-acceptable symptom state achievement rate was lower for subsided patients (53% vs . 77%), although statistically not significant ( P = 0.065). No differences existed in complication, reoperation, or fusion rates. CONCLUSIONS Of the patients, 14.9% experienced subsidence predicted by narrower implants. Although subsidence did not have a significant impact on most patient-reported outcome measures and complication, reoperation, or fusion rates, patients had lower visual analog scale-leg and patient-acceptable symptom state achievement rates at the >6-month time point. LEVEL OF EVIDENCE Level 4.
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Affiliation(s)
- Tejas Subramanian
- Hospital for Special Surgery, New York, NY
- Weill Cornell Medical College, New York, NY
| | | | | | - Shane Pathania
- Hospital for Special Surgery, New York, NY
- Weill Cornell Medical College, New York, NY
| | | | - Omri Maayan
- Hospital for Special Surgery, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Eric Zhao
- Hospital for Special Surgery, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Daniel Shinn
- Hospital for Special Surgery, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Yeo Eun Kim
- Hospital for Special Surgery, New York, NY
- Weill Cornell Medical College, New York, NY
| | | | - Junho Song
- Hospital for Special Surgery, New York, NY
| | | | | | | | | | | | | | - Sravisht Iyer
- Hospital for Special Surgery, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Sheeraz A Qureshi
- Hospital for Special Surgery, New York, NY
- Weill Cornell Medical College, New York, NY
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