Evidence map›Paper›PMID 41744574›Full record

ReviewBiomimetics (Basel, Switzerland)2026

Patient-Specific Lattice Implants for Segmental Femoral and Tibial Reconstruction (Part 1): Defect Patterns, Fixation Strategies and Reconstruction Options-A Review.

Mansoureh Rezapourian, Anooshe Sadat Mirhakimi, Mahan Nematollahi, Tatevik Minasyan, Irina Hussainova

Abstract readReview
In one paragraph

Review in Biomimetics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

5 authors.

Mansoureh RezapourianDepartment of Mechanical and Industrial Engineering, Tallinn University of Technology, 19086 Tallinn, Estonia.ORCID 0000-0001-6650-6467
Anooshe Sadat MirhakimiDepartment of Mechanical Engineering, McMaster University, Hamilton, ON L8S 4L7, Canada.ORCID 0009-0008-9713-8124
Mahan NematollahiDepartment of Technical Physics, University of Eastern Finland, 70210 Kuopio, Finland.ORCID 0009-0007-6647-8866
Tatevik MinasyanDepartment of Mechanical and Industrial Engineering, Tallinn University of Technology, 19086 Tallinn, Estonia.ORCID 0000-0003-2576-7040
Irina HussainovaDepartment of Mechanical and Industrial Engineering, Tallinn University of Technology, 19086 Tallinn, Estonia.ORCID 0000-0003-3081-2491

Funding

Estonian Research Council MNHA23020Estonian Research Council PRG3028Estonian Research Council PRG643Estonian Research Council PSG1054
6 · The paper itself

Abstract

This first part of a two-part review examines how Computed Tomography(CT)-based, additively manufactured (AM) porous implants are used to reconstruct large segmental defects of the femur and tibia. We focus on lightweight patient-specific lattice implants, architected cages, and modular porous constructs that incorporate engineered porosity into the load-bearing structure and are deployed with plate-, nail-, or external-fixator-based stabilization. We show how defects are described and classified by size, morphology, and anatomical subsegment; how these descriptors influence fixation choice and the resulting mechanical environment; and where along the femur and tibia porous implants have been applied in clinical and preclinical settings. Across the literature, outcomes appear to depend most strongly on defect morphology and local biology, while fixation feasibility and construct behavior vary by subregional anatomy. Most reported constructs use Ti6Al4V porous architectures intended to share load with fixation, reduce stress shielding, and provide a regenerative space for graft and tissue ingrowth. Finite element analyses (FEA) and bench-top studies consistently indicate that lattice architecture, relative density (RD), and fixation concept jointly control stiffness, micromotion, and fatigue-sensitive regions, whereas early animal and human reports describe promising incorporation and functional recovery in selected cases. However, defect descriptors, fixation reporting, boundary conditions, and outcome metrics remain diverse, and explicit quantitative validation of simulations against mechanical or in vivo measurements is uncommon. Most published work relies on simulation and bench testing, with limited reporting of biological endpoints, leaving a validation gap that prevents direct translation. We emphasize the need for standardized defect and fixation descriptors, harmonized mechanical and modeling protocols, and defect-centered datasets that integrate anatomy, mechanics, and longitudinal outcomes. Across the 27 included studies (may be counted in more than one group), simulation and mechanical testing are reported in 19/27 (70%) and 15/27 (56%), respectively, while in vivo studies (preclinical or clinical) account for 9/27 (33%), highlighting a validation gap that limits translation. Part 2 (under review); of these two series review paper; Patient-Specific Lattice Implants for Segmental Femoral and Tibial Reconstruction (Part 2): CT-Based Personalization, Design Workflows, and Validation-A Review; extends this work by detailing CT-to-implant workflows, lattice design strategies, and methodological validation.

Indexed as

3D-printed porous scaffoldsadditive manufacturing in orthopaedicscritical-sized bone defectsCT-based surgical planningfemoral and tibial reconstructionfixation strategieslattice implantsload-bearinglocking plate fixationmechanobiologypatient-specific implantspersonalized bone tissue engineeringporous bone scaffoldsscaffold-guided bone regenerationsegmental femoral and tibial defectssegmental long bone defectsstress shielding

Identifiers

PMID41744574
PMCPMC12938667

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.