Abstract
-
Three-dimensional (3D) printing technology is increasingly being utilized in various surgical specialities. In paediatric orthopaedics it has been applied in the pre-operative and intra-operative stages, allowing complex deformities to be replicated and patient-specific instrumentation to be used. This systematic review analyses the literature on the effect of 3D printing on paediatric orthopaedic osteotomy outcomes.
-
A systematic review of several databases was conducted according to PRISMA guidelines. Studies evaluating the use of 3D printing technology in orthopaedic osteotomy procedures in children (aged ≤ 16 years) were included. Spinal and bone tumour surgery were excluded. Data extracted included demographics, disease pathology, target bone, type of technology, imaging modality used, qualitative/quantitative outcomes and follow-up. Articles were further categorized as either ‘pre-operative’ or ‘intra-operative’ applications of the technology.
-
Twenty-two articles fitting the inclusion criteria were included. The reported studies included 212 patients. There were five articles of level of evidence 3 and 17 level 4.
-
A large variety of outcomes were reported with the most commonly used being operating time, fluoroscopic exposure and intra-operative blood loss.
-
A significant difference in operative time, fluoroscopic exposure, blood loss and angular correction was found in the ‘intra-operative’ application group. No significant difference was found in the ‘pre-operative’ category.
-
Despite a relatively low evidence base pool of studies, our aggregate data demonstrate a benefit of 3D printing technology in various deformity correction applications, especially when used in the ‘intra-operative’ setting. Further research including paediatric-specific core outcomes is required to determine the potential benefit of this novel addition.
Cite this article: EFORT Open Rev 2021;6:130-138. DOI: 10.1302/2058-5241.6.200092
Introduction
Three-dimensional (3D) printing technology, also known as ‘additive manufacturing’ or ‘rapid prototyping’, is increasingly being utilized in the field of medicine. Its first reported medical use was in 1990 when a 3D model of cranial bony anatomy was created from CT imaging. 1 Since then, it has been increasingly applied especially in surgical specialties such as oral and maxillofacial surgery, 2,3 cardiothoracic surgery, 4 plastic surgery, 5 neurosurgery 6 and orthopaedic surgery. 7–9
3D printing creates a physical model via an ‘additive’ process rather than the traditional ‘subtractive’ manufacturing process which removes excess material. It creates a 3D object by adding the material (powder, or liquid-like metal or plastic) layer by layer, based on coordination data using computer-aided design (CAD) software from imaging such as high-resolution computed tomography (CT). This digital representation of an object is then commonly converted to a standard triangulation language (STL) file which allows the 3D printer to print the object layer by layer, producing an accurate 3D printed replica model. Additive technologies used in orthopaedics include stereolithography (SLA), selective laser sintering (SLS) and fused deposition modelling (FDM) for creating custom models, surgical guides and personalized implants. 7,8 Applying this principle to orthopaedic surgery allows complex deformities of bone to be replicated. To this end, 3D printing has mainly been utilized in pre-operative planning and 3D patient-specific instrumentation (PSI).
One of the key focuses in paediatric orthopaedic practice is corrective limb deformity. With increasing accessibility to 3D printing, this technology is available as a useful tool in the pre-operative and intra-operative stages of a patient’s surgical journey. The benefits of 3D printed models in improving patients’ education as well as surgeons’ training has already been recognized in the literature. 10–13 This article will focus on the direct clinical applicability in the pre-operative and intra-operative stages.
The aim of this systematic review is to investigate the effect of 3D printing on paediatric orthopaedic osteotomy surgical outcomes. To our knowledge, this is the first article focusing on this topic.
Methods
Search strategy
We conducted a systematic literature search in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. 14 The project was prospectively registered on the International Prospective Register of Systematic Reviews (PROSPERO registration: CRD42020189279).
A comprehensive search was undertaken in the PubMed, Embase and Medline databases from their inception until July 2020. A search of the grey literature was also performed with authors contacted for further details where applicable. The following keywords were used in the search and combined to maximize results: “three-dimensional”, “3D”, “print*”, “orthopaedic”, “osteotomy”, “patient specific instrumentation”, “paediatric”, “child”, “teen”, “adolescent”. The search was not limited by year of publication, journal type, language or level of evidence.
Eligibility criteria
The inclusion criteria were: any published original article, use of 3D printing technology, orthopaedic surgery, paediatric primary study population (aged ≤ 16 years). Exclusion criteria were: basic science articles, spinal surgery, bone tumour surgery and review papers. As the aim of the review was assessing the effect on quantitative and qualitative outcomes and taking into consideration the novelty of this intervention, all levels of evidence were considered appropriate for the analysis.
Two authors (MR and DM) reviewed all abstracts and full texts where needed for inclusion according to the above criteria. In cases of disagreement, a senior author (YG) was consulted and disagreement was resolved in consensus.
Data extraction and analysis
The following data were extracted: demographics (year and country of publication, mean age, patient number), disease pathology, target bone, type of 3D printing technology, pre-operative imaging modality, qualitative/quantitative outcomes and follow up. The articles were then categorized based on either predominantly ‘pre-operative’ or ‘intra-operative’ applications of 3D printing technology.
Data were extracted with use of the Covidence 2019 online platform and a data collection table in Microsoft Excel. All continuous data were pooled, and descriptive data analysis performed. We utilized the ‘Synthesis Without Meta-analysis’ (SWiM) reporting guideline and ‘Enhancing transparency in reporting the synthesis of qualitative research’ (ENTREQ) checklist to aid with data synthesis methodology. 15,16 As the majority of studies were case reports/series, bias assessment was not deemed appropriate.
Results
A total of 169 published reports were originally identified. Fig. 1 presents the PRISMA flowchart of study selection. A total of 22 articles matched the inclusion criteria with complete agreement between the reviewers. The extracted data are presented in Table 1.
Summary of studies
Study / country |
Study type / Level of evidence | Mean age (years) |
Number of patients |
Pathology |
Bone |
3D Printing primary application PRE-OP INTRA-OP |
3D Printing material |
Pre-op imaging CT MRI |
Qualitative outcomes |
Quantitative outcomes |
Follow up (months) |
|
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 |
Cherkasskiy et al, 2017 18 USA |
Retrospective cohort / 3 |
13.5 |
15 |
SCFE |
Femur (proximal) |
✓ |
Acrylonitrile butadiene styrene (ABS) | ✓ | – Development of avascular necrosis (AVN) – Complications |
– Operation time – Fluoroscopy time – Radiographic assessment: epiphyseal shaft angle (ESA), neck shaft angle, articular surface to trochanter distance, medial proximal femoral angle |
23 |
2 | Kalenderer et al, 2019
19
Turkey |
Prospective case series / 4 |
10.0 |
2 |
Perthes, DDH | Femur (proximal) | ✓ |
Not stated | ✓ | – Development of AVN – Complications |
– Operation time – Blood loss |
12 |
3 | Wei et al, 2019
20
Taiwan |
Case report / 4 |
4.0 |
1 |
Post-osteomyelitis deformity | Pelvis, Femur | ✓ | Not stated | ✓ | – Clinical: gait/squat assessment – Radiographic union – Complications |
– Radiographic assessment: lateral centre edge (CE) angle, acetabular index – Clinical: range of motion (ROM) |
24 |
4 | Holt et al, 2017
21
USA |
Case report / 4 | 10.0 |
1 |
DDH, chronic hip instability (Trisomy 21) | Pelvis | ✓ | ABS | ✓ | – Clinical: pain, ambulation, stability – Complications – Radiographic union |
– Radiographic assessment: lateral CE angle, anterior CE angle, acetabular index | 33 |
5 | Bovid et al, 2019
22
USA |
Case report / 4 | 3.0 |
1 |
Cubitus varus deformity (post-traumatic) | Humerus (distal) | ✓ | Not stated | ✓ |
– Clinical: pain, activity level – Complications |
– Radiographic assessment: carrying angle – Clinical: ROM |
28 |
6 | Morasiewicz et al, 2018
23
Poland |
Case report / 4 |
6.0 |
1 |
Lower limb deformity | Tibia, Midfoot | ✓ | Polylactide (PLA) | ✓ | – Limb lengthening – Correction of valgus angle / axial correction |
?6 | |
7 | Consigliere et al, 2020
24
UK |
Case report / 4 |
14.0 |
1 |
Post-traumatic clavicle deformity | Clavicle | ✓ | Not stated | ✓ | – Clinical: pain, activity level – Radiographic union |
– Clinical: ROM | 12 |
8 | Zheng et al, 2017
25
China |
Prospective cohort / 3 |
10.9 |
25 |
DDH | Femur (proximal) | ✓ |
PLA | ✓ | – Clinical: McKay criteria, Severin criteria – Proximal femoral epiphyseal growth arrest |
– Operation time – X-ray exposures – Radiographic assessment: neck shaft angle, femoral anteversion |
18 |
9 | Zheng et al, 2017
26
China |
Retrospective cohort / 3 | 6.6 |
11 |
DDH, Neck of Femur (NOF) fracture | Femur (proximal) | ✓ |
PLA | ✓ | – Proximal femoral epiphyseal growth arrest | – Operation time – X-ray exposures – Radiographic assessment: neck shaft angle, femoral anteversion |
Not stated |
10 |
Baskov et al, 2017 27 Russia |
Retrospective case series / 4 |
11.5 |
27 |
Proximal femoral deformity (congenital/ acquired) |
Femur (proximal) |
✓ |
Plastic polymer | ✓ | – Operation time – X-ray exposures – Radiographic assessment: neck shaft angle, epidiaphyseal angle, femoral anteversion |
Not stated | |
11 | Furnstahl et al 2020
28
Switzerland |
Retrospective case series / 4 |
14.0 |
6 |
Proximal femoral deformity (Perthes) |
Femur (proximal) |
✓ |
Plastic polyamide | ✓ | – Complications | – Radiographic assessment: diameter index, sphericity index, Stulberg classification, extrusion index, lateral CE angle, Tonnis angle, caput-collum-diaphyseal (CCD) angle – Time: preliminary analysis, simulation, PSI design – Cost: manufacturing, time expense |
17.5 |
12 |
Bauer et al, 2017 29 USA |
Retrospective case series / 4 |
13.5 |
19 |
Forearm deformity (post-traumatic 15, MHE 3, Madelung 1) | Radius, Ulna | ✓ |
Not stated | ✓ | – Clinical: distal radioulnar joint stability – Complications – Radiographic union |
– Radiographic assessment: mean maximum deformity angulation – Clinical: forearm ROM |
Not stated |
13 | Byrne et al, 2017
30
Belgium |
Prospective case series / 4 |
13.0 |
5 |
Diaphyseal forearm malunions | Radius, Ulna |
✓ |
Polyamide guide Titanium plate |
✓ | – Complications – Radiographic union |
– Radiographic assessment: angular correction of radius/ulna deformity – Clinical: forearm ROM, grip strength – Pain score |
42 |
14 | Kataoka et al, 2017
31
Japan |
Retrospective case series / 4 | 13.0 |
4 |
Distal diaphyseal radius malunion | Radius |
✓ |
Plastic polymer |
✓ |
– Clinical: pain – Complications – Radiographic union |
– Clinical: forearm ROM, grip strength – Radiographic assessment: angular deformity |
22 |
15 |
Inge et al, 2018 32 Netherlands |
Case report / 4 |
16.0 |
1 |
Distal radius malunion | Radius |
✓ |
Not stated | ✓ | – Radiographic union | – Clinical: ROM – DASH score |
12 |
16 | Jeuken et al, 2017
33
Netherlands |
Case report / 4 |
15.0 |
1 |
Diaphyseal forearm malunion | Radius, Ulna |
✓ |
Plastic polymer | ✓ | – Clinical: activity level | – Clinical: forearm ROM – Radiographic: angular correction |
6 |
17 |
de Wouters et al, 2014 34 Belgium |
Prospective case series / 4 |
14.2 |
9 |
Tarsal coalition | Talus, Calcaneus, Navicular |
✓ |
Acrylic-PMMA + titanium | ✓ | – Clinical: hindfoot mobility – Complications – Radiographic: completion of resection, recurrence |
– AOFAS score | 17.9 |
18 | Tricot et al, 2012
35
Belgium |
Prospective Case series / 4 |
10.3 |
3 |
Distal humerus deformity (post-traumatic) | Humerus (distal) |
✓ |
Not stated | ✓ | – Clinical: pain – Complications |
– Clinical: elbow ROM – Radiographic assessment: carrying angle |
6 |
19 | Zhang et al, 2011
36
China |
Prospective case series / 4 |
15.7 |
18 |
Cubitus varus deformity (post-traumatic) |
Humerus (distal) |
✓ |
Acrylate resin | ✓ | – Clinical: pain, satisfaction, instability – Complications – Radiographic union |
– Clinical: elbow ROM – Radiographic assessment: carrying angle |
18 |
20 | Zhang et al, 2019
37
China |
Retrospective case series / 3 |
9.8 |
25 |
Cubitus varus deformity (post-traumatic) |
Humerus (distal) |
✓ |
Acrylate resin | ✓ | – Complications – Radiographic union – Parent satisfaction score |
– Operation time – Blood loss – Radiographic assessment: carrying angle – Clinical assessment: elbow ROM, deformity correction (via Bellemore criteria) |
18 |
21 | Oka et al, 2017
38
Japan |
Case report / 4 |
14.0 |
1 |
Cubitus varus deformity (post-traumatic) |
Humerus (distal) |
✓ |
Plastic polymer | ✓ | – Radiographic union | – Radiographic assessment: carrying angle – Clinical assessment: elbow ROM |
20 |
22 | Hu et al, 2020 17 China |
Prospective cohort / 3 |
7.5 |
35 |
Cubitus varus deformity (post-traumatic) |
Humerus (distal) |
✓ |
PLA | ✓ | – Complications – Radiographic union |
– Operation time – Clinical assessment: elbow ROM, deformity correction (via Bellemore criteria) – Radiographic assessment: carrying angle |
6– 12 |
Notes. CT, computed tomography; MRI, magnetic resonance imaging; MHE, multiple hereditary exostoses; DDH, developmental dysplasia of the hip; SCFE, slipped capital femoral epiphysis; PMMA, polymethyl methacrylate; PSI, patient specific instrumentation; DASH, disabilities of the arm, shoulder and hand; AOFAS, American orthopaedic foot and ankle society; ROM, range of motion
The 22 articles were published between 2011 and 2020 with the large majority (19 out of 22, 86.4%) having been published between 2017 and 2020. The studies were conducted in Belgium, China, Japan, the Netherlands, Poland, Russia, Switzerland, Taiwan, Turkey, the UK and the USA. The majority of studies were from China (N = 5, 22.7%) and the USA (N = 4, 18.1%). There were nine case series, eight case reports and five comparative cohort studies. The total number of patients across all studies was 212, with the largest individual study patient number equalling 35. 17 The mean age across the studies was 11.2 years (range 3 to 21 years).
The ‘pre-operative’ 3D printing articles printed models for simulation osteotomies and when stated, were made of plastic polymers such as acrylonitrile butadiene styrene (ABS) or polyactide (PLA). All ‘intra-operative’ studies used 3D printing to create plastic patient-specific osteotomy guides with one study additionally creating a patient-specific titanium plate. This is in contrast to the popularity of custom final implants in the adult population as noted by a recent review of 3D printing in orthopaedics as a whole. 9
Pre-operative surgical planning
Seven studies used 3D printing technology for pre-operative surgical planning: three for proximal femoral deformity correction due to either slipped upper femoral epiphysis (SUFE), Perthes disease, developmental dysplasia of the hip (DDH) or post-osteomyelitis deformity, 18–20 one study for periacetabular osteotomy (PAO) planning in DDH, 21 one for cubitus varus deformity in the distal humerus, 22 one for complex lower limb deformity correction of the tibia and midfoot 23 and one for clavicle malunion. 24 All studies printed anatomical 3D models of the relevant deformity to help guide and perform simulated osteotomy techniques.
The reported quantitative outcomes were surgical operating time, fluoroscopy time and radiographic angle measurement. 18,19 There was no significant difference between the groups in all quantitative outcomes, although a trend towards reduction in operating time and fluoroscopy time was found. Quantitative radiographic measurements were improved to expected values in all groups. 18,20–22
The reported qualitative outcomes were development of avascular necrosis (AVN), clinical evaluation (assessing stability, pain, activity levels) and development of post-operative complications. There was an improvement in these outcomes with no reports of AVN 18,19 and similar satisfactory clinical outcomes and increased activity levels at latest follow up. 20–22,24 There were no complications reported in the 3D printed patient groups and three minor complications were noted in the control groups. 18
Intra-operative application
Fifteen studies utilized 3D printing for PSI in operations involving the proximal femur (four), 25–28 forearm (five), 29–33 foot (one), 34 and distal humerus (five). 17,35–38
Quantitative outcome measures included surgical operation time, fluoroscopic exposure (number of radiographs), intra-operative blood loss volume, radiographic angular correction measurements and range of motion assessments. There was a statistically significant reduction in operative time, 17,25,26,37 fluoroscopic exposure 25,26 and intra-operative blood loss, 37 with significant improvements found in angular correction 27,28 and range of motion. 29,30
Qualitative outcomes included clinical examination assessments (e.g. joint stability, activity level and pain), presence of complications and radiographic evaluation (e.g. union). All studies reported satisfactory clinical examination findings at last follow up, such as joint stability 25,29,37 and improved activity level. 33–35 Most of the studies report satisfactory radiographic evaluation and either complete resolution of or improved pain on assessment. 30–35 There were no major complications reported in the PSI patient groups with two minor complications that resolved with treatment. 35,37
Discussion
The most significant findings in this review are that 3D printing used during the intra-operative stages is beneficial in reducing surgical operating time, fluoroscopic exposure and blood loss. These findings are in keeping with the data from the adult population. 9
The primary quantitative outcomes were surgical operating time, fluoroscopic exposure, intra-operative blood loss and radiographic measurements. The qualitative outcomes assessed included clinical examination parameters (such as joint stability, activity level and pain), post-operative complications (such as AVN) and radiographic evaluation (such as union).
In studies looking into pre-operative implementation, comparative studies did not find a significant effect. However, an improvement in qualitative outcomes was reported in terms of clinical assessment and complication rate. 18 The benefits of 3D printing in interpreting complex paediatric deformities and a better understanding of the condition to be treated have been widely reported. 13,39–46 In the largest of this review’s pre-operative studies, the models allowed the surgeon to simulate the procedure and gain a better understanding of the patient’s 3D anatomy whilst determining the exact wedge size for a more efficient osteotomy. 18
The implementation of 3D printing for pre-operative planning was the most common application found in a heterogenic systematic review by Levesque et al in 2020 that included a mostly adult population. 9 This review looked at extensive implementation in orthopaedic surgery that included trauma and oncology. The level I and II evidence consistently found shorter operative time, less blood loss and fluoroscopy use when 3D printing was used. In contrast, our review did not find a significant effect in the pre-operative category for the paediatric population, and a larger randomized controlled trial is needed to be able to answer this question.
The studies that implemented 3D printing as an intra-operative application found a significant effect on the primary outcomes with reductions in operative time, 18,25,26,37 fluoroscopic exposure 25,26 and intra-operative blood loss. 37 For one of this review’s largest prospective cohort studies, operation time (21.08 min vs. 46.92 min) and number of fluoroscopy exposures (3.92 vs. 6.69) were significantly decreased (p < 0.05) when comparing patients utilizing 3D printed surgical osteotomy guides to those without. 25 In another comparative cohort study, intra-operative blood loss was nearly a third less (35.6 mls in the 3D printed group compared to 52.1 mls in the conventional group) (p < 0.001). 37 This is consistent with literature in the adult population. 9,47,48 Improvements in angular correction 29 and range of motion were also demonstrated. 29,30
Improved qualitative clinical and radiographic outcomes were noted across the studies. 25,29,33–36 These findings are supported by similar studies in the adult population. 49
PSI enables the surgical team to pre-determine the osteotomy angle, plane and rotation. It allows more precise surgery and can act to prevent damage to surrounding tissue and epiphyseal cartilage, as shown by the low complication rate and no evidence of growth arrest at follow up. 25,26 By applying individualized templates which closely correlate to the patient’s bony anatomy, there is no requirement to perform repeated adjustments which arguably saves time, blood loss and reduces the requirement for repeated fluoroscopy exposures. 17,37
Study limitations
The level of evidence available is low with most studies presenting case reports or series. There is a variability in reported outcomes, anatomical sites as well as a wide range of follow-up time. As this is a novel addition this is to be expected, and although every new report adds value and knowledge, the reported outcomes should be interpreted with caution. The broad inclusion criteria were deemed a strength due to the novelty and relevance of the technology.
3D printing limitations
3D printing technology has its own limitations to recognize, such as cost, time to production and radiation exposure requirements. Cost has been highlighted as a potential obstacle to its widespread application, as 3D printing requires specialist hardware/software, engineering skills, machine maintenance and printing materials. 7,50 However, a recent systematic review on the use of 3D printing in pre-operative planning in trauma surgery cited reduced operative time and fluoroscopy time as potential financial savings. 47 This was reiterated by Cherkasskiy et al 18 in 2017 with a reported US$2700 cost saving per case for a 45 minute reduction in theatre time.
Processing for 3D printing requires pre-operative image acquisition. As bony tissues have a relatively higher contrast than soft tissue on CT, it is the modality of choice. We found that 21 out of 22 studies utilized CT imaging with only one using magnetic resonance imaging (MRI). 22 The higher radiation dose of CT is well documented as are the concerns with oncogenic potential which are particularly significant in the paediatric population due to increased radiosensitivity of children to ionizing radiation and increased absorbed organ doses due to their reduced body dimensions. 51–53 Over the last decade, there has been rapid progress in utilizing MRI imaging sequencing and expanding its application to better visualize bone and reduce the risk of ionizing radiation in children. 52 To this end, our review found only one study that utilized MRI to create their custom 3D printed model. The authors highlighted its benefit in visualizing cartilage and non-ossified tissues as well as limiting ionizing radiation exposure in their paediatric patient. 22
Future trends
3D printing technology is continuing to expand and evolve in a number of areas, a few of which can prove attractive to the paediatric orthopaedic patient population. An alternative modality of acquiring images utilizing low ionizing radiation for the purpose of creating a 3D model is the technology of ‘biplanar low-dose X-ray’ technology (EOSTM imaging) that uses low-dose digital stereoradiography to allow for 3D modelling of the skeletal system. 54–57 The images are taken with significantly lower doses of radiation compared to plain radiographs or CT scans, 56,57 which is particularly advantageous in the growing child. In the field of developing lightweight custom-made prostheses, 3D printing can prove valuable and affordable. 57,58 The promising novel technologies of ‘bio-scaffolds’ and ‘bio-printing’ are further implementations which combine gene therapy and tissue engineering for bone or tissue repair. 7,57,59–62
Conclusion
3D printing technology is growing in implementation and use in paediatric orthopaedics. Despite a relatively low evidence base pool of studies, our aggregate data demonstrate a benefit of 3D printing technology in various deformity correction applications, especially when used in the ‘intra-operative’ setting. High-quality research including paediatric-specific core outcomes is required to ascertain the potential benefit of this novel addition.
Open access
This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (CC BY-NC 4.0) licence (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed.
The authors declare no conflict of interest relevant to this work.
No benefits in any form have been received or will be received from a commercial party related directly or indirectly to the subject of this article.
This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (CC BY-NC 4.0) licence (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed.
References
- 1.↑
Mankovich NJ , Cheeseman AM , Stoker NG . The display of three-dimensional anatomy with stereolithographic models. J Digit Imaging 1990; 3:200–203 .
- 2.↑
Choi JW , Kim N . Clinical application of three-dimensional printing technology in craniofacial plastic surgery. Arch Plast Surg 2015; 42:267–277 .
- 3.↑
Aldaadaa A , Owji N , Knowles J . Three-dimensional printing in maxillofacial surgery: hype versus reality. J Tissue Eng 2018; 9:2041731418770909 .
- 4.↑
Giannopoulos AA , Steigner ML , George E , Barile M , Hunsaker AR & Rybicki FJ et al. Cardiothoracic Applications of 3D Printing. J Thorac Imaging 2016; 31:253–272 .
- 5.↑
Chae MP , Rozen WM , McMenamin PG , Findlay MW , Spychal RT , Hunter-Smith DJ . Emerging applications of bedside 3D printing in plastic surgery. Front Surg 2015; 2:25 .
- 6.↑
Randazzo M , Pisapia JM , Singh N , Thawani JP . 3D printing in neurosurgery: a systematic review. Surg Neurol Int 2016; 7:S801–S809 .
- 7.↑
Wong TM , Jin J & Lau TW et al. The use of three-dimensional printing technology in orthopaedic surgery. J Orthop Surg (Hong Kong) 2017; 25:2309499016684077 .
- 8.↑
Auricchio F , Marconi S . 3D printing: clinical applications in orthopaedics and traumatology. EFORT Open Rev 2017; 1:121–127 .
- 9.↑
Levesque JN , Shah A , Ekhtiari S , Yan JR , Thornley P , Williams DS . Three-dimensional printing in orthopaedic surgery: a scoping review. EFORT Open Rev 2020; 5:430–441 .
- 10.↑
Bockhorn L , Gardner SS & Dong D et al. Application of three-dimensional printing for pre-operative planning in hip preservation surgery. J Hip Preserv Surg 2019; 6:164–169 .
- 11.
Waran V , Narayanan V & Karuppiah R et al. Injecting realism in surgical training-initial simulation experience with custom 3D models. J Surg Educ 2014; 71:193–197 .
- 12.
Lim PK , Stephenson GS & Keown TW et al. Use of 3D printed models in resident education for the classification of acetabulum fractures. J Surg Educ 2018; 75:1679–1684 .
- 13.↑
Wong KC . 3D-printed patient-specific applications in orthopedics. Orthop Res Rev 2016; 8:57–66 .
- 14.↑
Moher D , Liberati A , Tetzlaff J , Altman DG ; PRISMA Group. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement. BMJ 2009; 339:b2535 .
- 15.↑
Campbell M , Mckenzie JE , Sowden A , Katikireddi SV , Brennan SE & Ellis S et al. Synthesis without meta-analysis (SWiM) in systematic reviews : reporting guideline. BMJ 2020; 368:l6890 .
- 16.↑
Tong A , Flemming K , McInnes E , Oliver S , Craig J . Enhancing transparency in reporting the synthesis of qualitative research: ENTREQ. BMC Med Res Methodol 2012; 12:181 .
- 17.↑
Hu X , Zhong M & Lou Y et al. Clinical application of individualized 3D-printed navigation template to children with cubitus varus deformity. J Orthop Surg Res 2020; 15:111 .
- 18.↑
Cherkasskiy L , Caffrey JP , Szewczyk AF , Cory E , Bomar JD & Farnsworth CL et al. Patient-specific 3D models aid planning for triplane proximal femoral osteotomy in slipped capital femoral epiphysis. J Child Orthop 2017; 11:147–153 .
- 19.↑
Kalenderer Ö , Erkuş S , Turgut A , İnan İH . Preoperative planning of femoral head reduction osteotomy using 3D printing model: a report of two cases. Acta Orthop Traumatol Turc 2019; 53:226–229 .
- 20.↑
Wei Y-P , Lai Y-C , Chang W-N . Anatomic three-dimensional model-assisted surgical planning for treatment of pediatric hip dislocation due to osteomyelitis. J Int Med Res 2020; 48:300060519854288 .
- 21.↑
Holt AM , Starosolski Z , Kan JH , Rosenfeld SB . Rapid prototyping 3D model in treatment of pediatric hip dysplasia: a case report. Iowa Orthop J 2017; 37:157–162 .
- 22.↑
Bovid KM , Kohler EJ , Habeck JM , Gustafson PA . Utilization of a 3D-printed model for preoperative planning and operative osteotomy of a pediatric cubitus varus deformity. JSES Open Access 2019; 3:219–224 .
- 23.↑
Morasiewicz P , Burzyńska K , Orzechowski W , Dragan SŁ , Dragan SF , Filipiak J . Three-dimensional printing as a technology supporting the treatment of lower limb deformity and shortening with the Ilizarov method. Med Eng Phys 2018; 57:69–74 .
- 24.↑
Consigliere P , Tyler J , Tennent D , Pearse E . Symptomatic malunion after midshaft clavicle fracture in an adolescent patient: a case report of surgical deformity correction using a 3D printed model. Ann R Coll Surg Engl 2020; 102:e126–e129 .
- 25.↑
Zheng P , Xu P , Yao Q , Tang K , Lou Y . 3D-printed navigation template in proximal femoral osteotomy for older children with developmental dysplasia of the hip. Sci Rep 2017; 7:44993 .
- 26.↑
Zheng P , Yao Q , Xu P , Wang L . Application of computer-aided design and 3D-printed navigation template in Locking Compression Pediatric Hip PlateΤΜ placement for pediatric hip disease. Int J Comput Assist Radiol Surg 2017; 12:865–871 .
- 27.↑
Baskov VE , Baindurashvili AG & Filippova AV et al. Planning corrective osteotomy of the femoral bone using three-dimensional modeling. Part II. Pediatr Traumatol Orthop Reconstr Surg 2017; 5:74–79 .
- 28.↑
Fürnstahl P , Casari FA , Ackermann J , Marcon M , Leunig M , Ganz R . Computer-assisted femoral head reduction osteotomies: an approach for anatomic reconstruction of severely deformed Legg-Calvé-Perthes hips. A pilot study of six patients. BMC Musculoskelet Disord. 2020; 21(1):1–9 .
- 29.↑
Bauer AS , Storelli DAR , Sibbel SE , McCarroll HR , Lattanza LL . Preoperative computer simulation and patient-specific guides are safe and effective to correct forearm deformity in children. J Pediatr Orthop 2017; 37:504–510 .
- 30.↑
Byrne AM , Impelmans B , Bertrand V , Van Haver A , Verstreken F . Corrective osteotomy for malunited diaphyseal forearm fractures using preoperative 3-dimensional planning and patient-specific surgical guides and implants. J Hand Surg Am 2017; 42:836.e1–836.e12 .
- 31.↑
Kataoka T , Oka K , Murase T . Rotational corrective osteotomy for malunited distal diaphyseal radius fractures in children and adolescents. J Hand Surg Am 2018; 43:286.e1–286.e8 .
- 32.↑
Inge S , Brouwers L , van der Heijden F , Bemelman M . 3D printing for corrective osteotomy of malunited distal radius fractures: a low-cost workflow. BMJ Case Rep 2018; 2018:1–5 .
- 33.↑
Jeuken RM , Hendrickx RPM , Schotanus MGM , Jansen EJ . Near-anatomical correction using a CT-guided technique of a forearm malunion in a 15-year-old girl: a case report including surgical technique. Orthop Traumatol Surg Res 2017; 103:783–790 .
- 34.↑
de Wouters S , Tran Duy K , Docquier PL . Patient-specific instruments for surgical resection of painful tarsal coalition in adolescents. Orthop Traumatol Surg Res 2014; 100:423–427 .
- 35.↑
Tricot M , Duy KT , Docquier PL . 3D-corrective osteotomy using surgical guides for posttraumatic distal humeral deformity. Acta Orthop Belg 2012; 78:538–542 .
- 36.↑
Zhang YZ , Lu S , Chen B , Zhao JM , Liu R , Pei GX . Application of computer-aided design osteotomy template for treatment of cubitus varus deformity in teenagers: a pilot study. J Shoulder Elbow Surg 2011; 20:51–56 .
- 37.↑
Zhang YW , Xiao X & Gao WC et al. Efficacy evaluation of three-dimensional printing assisted osteotomy guide plate in accurate osteotomy of adolescent cubitus varus deformity. J Orthop Surg Res 2019; 14:1–9 .
- 38.↑
Oka K , Murase T , Okada K , Tanaka H , Yoshikawa H . Single-plane rotational osteotomy for cubitus varus deformity based on preoperative computer simulation. J Orthop Sci 2019; 24:945–951 .
- 39.↑
Starosolski ZA , Kan JH , Rosenfeld SD , Krishnamurthy R , Annapragada A . Application of 3-D printing (rapid prototyping) for creating physical models of pediatric orthopedic disorders. Pediatr Radiol 2014; 44:216–221 .
- 40.
Caffrey JP , Jeffords ME , Farnsworth CL , Bomar JD , Upasani VV . Comparison of 3 pediatric pelvic osteotomies for acetabular dysplasia using patient-specific 3D-printed models. J Pediatr Orthop 2019; 39:e159–e164 .
- 41.
Kim HT , Ahn TY , Jang JH , Kim KH , Lee SJ , Jung DY . A graphic overlay method for selection of osteotomy site in chronic radial head dislocation: an evaluation of 3D-printed bone models. J Pediatr Orthop 2017; 37:e88–e95 .
- 42.
Lee CS , Larsen CG , Marchwiany DA , Chudik SC . Extra-articular, intraepiphyseal drilling for osteochondritis dissecans of the knee: characterization of a safe and reproducible surgical approach. Orthop J Sports Med 2019; 7:2325967119830397 .
- 43.
Ganesan B , Yip J & Al-Jumaily A et al. A novel 3D evaluation method for assessing bone to bone relationships in clubfoot. Eur Rev Med Pharmacol Sci 2019; 23:1882–1890 .
- 44.
Ballard J , Crawford D . The use of 3D printing in paediatric orthopaedics for pre-operative planning and bespoke therapeutics. J Trauma Orthop 2016; 4:26–27 .
- 45.
Docquier PL , Paul L , TranDuy K . Surgical navigation in paediatric orthopaedics. EFORT Open Rev 2017; 1:152–159 .
- 46.↑
Ackermann J , Ganz R , Fuernstahl . A new treatment approach for severe Legg-Calvé-Perthes deformity based on computer simulation and surgical navigation. 2018:6–9. https://www.zora.uzh.ch/ (date last accessed 11 July 2020).
- 47.↑
Morgan C , Khatri C , Hanna SA , Ashrafian H , Sarraf KM . Use of three-dimensional printing in preoperative planning in orthopaedic trauma surgery: a systematic review and meta-analysis. World J Orthop 2020; 11:57–67 .
- 48.↑
Tack P , Victor J , Gemmel P , Annemans L . 3D-printing techniques in a medical setting: a systematic literature review. Biomed Eng Online 2016; 15:115 .
- 49.↑
Miyake J , Murase T , Oka K , Moritomo H , Sugamoto K , Yoshikawa H . Computer-assisted corrective osteotomy for malunited diaphyseal forearm fractures. J Bone Joint Surg Am 2012; 94:e150 .
- 50.↑
Martelli N , Serrano C & van den Brink H et al. Advantages and disadvantages of 3-dimensional printing in surgery: a systematic review. Surgery 2016; 159:1485–1500 .
- 51.↑
Biswas D , Bible JE , Bohan M , Simpson AK , Whang PG , Grauer JN . Radiation exposure from musculoskeletal computerized tomographic scans. J Bone Joint Surg Am 2009; 91:1882–1889 .
- 52.↑
Parthasarathy J , Krishnamurthy R , Ostendorf A , Shinoka T , Krishnamurthy R . 3D printing with MRI in pediatric applications. J Magn Reson Imaging 2020; 51:1641–1658 .
- 53.↑
Brenner D , Elliston C , Hall E , Berdon W . Estimated risks of radiation-induced fatal cancer from pediatric CT. AJR Am J Roentgenol 2001; 176:289–296 .
- 54.↑
Kalifa G , Charpak Y & Maccia C et al. Evaluation of a new low-dose digital x-ray device: first dosimetric and clinical results in children. Pediatr Radiol 1998; 28:557–561 .
- 55.
Gheno R , Nectoux E & Herbaux B et al. Three-dimensional measurements of the lower extremity in children and adolescents using a low-dose biplanar X-ray device. Eur Radiol 2012; 22:765–771 .
- 56.↑
Illés T , Somoskeöy S . The EOS™ imaging system and its uses in daily orthopaedic practice. Int Orthop 2012; 36:1325–1331 .
- 57.↑
Iobst CA . New technologies in pediatric deformity correction. Orthop Clin North Am 2019; 50:77–85 .
- 58.↑
Tanaka KS , Lightdale-Miric N . Advances in 3D-printed pediatric prostheses for upper extremity differences. J Bone Joint Surg Am 2016; 98:1320–1326 .
- 59.↑
Alluri R , Jakus A & Bougioukli S et al. 3D printed hyperelastic ‘bone’ scaffolds and regional gene therapy: a novel approach to bone healing. J Biomed Mater Res A 2018; 106:1104–1110 .
- 60.
Ozbolat IT , Yu Y . Bioprinting toward organ fabrication: challenges and future trends. IEEE Trans Biomed Eng 2013; 60:691–699 .
- 61.
Binder KW . In situ bioprinting of the skin. Wake For Univ Grad Sch Arts Sci 2011; 452. http://hdl.handle.net/10339/33425 (date last accessed 11 July 2020).
- 62.↑
Popov A , Malferrari S , Kalaskar DM . 3D bioprinting for musculoskeletal applications. J 3D Print Med 2017; 1:191–211 .