Literature DB >> 34909222

The accuracy and reliability of preoperative digital 2D templating in prosthesis size prediction in uncemented versus cemented total hip arthroplasty: a systematic review and meta-analysis.

Joshua B V Smith1, Habeeb Bishi1, Chao Wang2, Vipin Asopa1, Richard E Field1, David H Sochart1.   

Abstract

The purpose of this study was to compare the accuracy and the inter- and intra-observer reliability of preoperative digital 2D templating in prosthesis size prediction for the planning of cemented or uncemented THA.This study was registered in the NIHR PROSPERO database (ID: CRD42020216649) and conducted according to the PRISMA guidelines. A search of electronic databases in March 2021 found 29 papers overall. The quality of evidence was assessed using the IHE Quality Appraisal of Case Series Studies Checklist and the CASP Randomised Controlled Trials Checklist. A meta-analysis was conducted, and the accuracy was presented as proportions and the inter- and intra-observer reliability were measured using intraclass correlation coefficients (ICC).Accuracy within one prosthesis size (±1) for cemented stems was 0.89 (95% confidence interval (CI) 0.83-0.95), cemented cups 0.78 (95% CI 0.67-0.89), uncemented stems 0.74 (95% CI 0.66-0.82) and uncemented cups 0.73 (95% CI 0.67-0.79) (test of group differences: p = 0.010). Inter-observer reliability (ICC) for uncemented cups was 0.88 (95% CI 0.85-0.91), uncemented stems 0.86 (95% CI 0.81-0.91), cemented stems 0.69 (95% CI 0.54-0.84) and cemented cups 0.68 (95% CI 0.55-0.81) (test of group differences: p = 0.004). Due to lack of data, intra-observer reliability (ICC) could only be calculated for uncemented prostheses, which for the stems was 0.90 (95% CI 0.88-0.92) and for the cups was 0.87 (95% CI 0.83-0.90) (test of group differences: p = 0.124).The accuracy of preoperative digital templating is greater for cemented prostheses, but the inter-observer reliability is greater for uncemented prostheses. The intra-observer reliability showed a high level of agreement for uncemented prostheses. Cite this article: EFORT Open Rev 2021;6:1020-1039. DOI: 10.1302/2058-5241.6.210048.
© 2021 The author(s).

Entities:  

Keywords:  accuracy; cemented; digital templating; hip arthroplasty; reliability; uncemented

Year:  2021        PMID: 34909222      PMCID: PMC8631246          DOI: 10.1302/2058-5241.6.210048

Source DB:  PubMed          Journal:  EFORT Open Rev        ISSN: 2058-5241


Introduction

The aims of total hip arthroplasty (THA) are to restore correct and personalized limb biomechanics and to achieve successful long-term fixation and function of the implant. The main benefit for preoperative templating in THA is that it allows accurate prediction of prosthesis size, shape and position and this enables the aforementioned aims of THA to be achieved.[1-7] With a single templating software package, multiple implants from different manufactures can be templated and these are automatically updated. Preoperative templating allows the preoperative recognition of any difficulty, and it allows any intra-operative mistakes to be recognized when there are gross size discrepancies between trial and templated components.[4] It also creates an easily accessible archived record of the preoperative planning process that can be accessed by different members of the surgical team. It can then be used for postoperative evaluation, planning future surgeries on the same patient or evidence should complications or medico-legal issues arise. Preoperative templating also formulates a plan that allows the surgical team to ensure that the theatres are adequately stocked with the relevant prosthesis sizes and suitable alternatives, should they be required. It also allows the ordering of non-standard implants and materials, such as bone graft, and helps reduce the costs associated with keeping and storing surplus inventory.[8] One aspect that has not previously been covered in depth is the comparison of the usefulness of preoperative digital two-dimensional (2D) templating in planning both cemented and uncemented THA. It is possible that with uncemented prostheses surgeons will sometimes use a smaller prosthesis size than originally planned in order to reduce the risk of limb lengthening or peri-prosthetic fracture, which could result in over-estimation of the implant size on digital templating.[3] However, when templating for cemented prostheses the cement mantle also has to be considered, which may be more subjective and less reliable than the clear bony landmarks used to guide templating for uncemented prostheses.[5] There has, therefore, been some dispute regarding whether preoperative digital templating is of greater accuracy for cemented or uncemented prostheses. This is the first systematic review and meta-analysis comparing the accuracy and reliability of preoperative digital 2D templating for both cemented and uncemented THA. The aims of this review are to assess the differences in the preoperative digital 2D templating accuracy and inter- and intra-observer reliability between cemented and uncemented THA prostheses.

Methods

This systematic review and meta-analysis was registered in the NIHR (National Institute for Health Research) PROSPERO (International Prospective Register of Systematic Reviews) database (ID: CRD42020216649) and the protocol can be viewed at https://www.crd.york.ac.uk/prospero/.[6] The review process was conducted according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines.[9]

Search strategy

A systematic literature search was performed using the following electronic databases: Ovid Medline; Ovid Embase; PubMed; HDAS Embase; HDAS Medline; Cochrane library. The following grey literature sources and trial registries were searched: MEDRXIV; OpenGrey; ClinicalTrials.gov; Cochrane CENTRAL Database; WHO International Clinical Trials Registry Platform (ICTRP); EU Clinical Trials Registry. The dates of coverage were all papers up to and including 8 March 2021 and the search strategy used in PubMed can be seen in Table 1. No limits were applied and the reference lists of the selected papers were also searched for other relevant papers.
Table 1.

Search strategy used in PubMed literature search

Search lineSearch terms
1"BONE CEMENTS" [MeSH Terms]
2Uncement* OR cement*
31 OR 2
4Templat*
5"ARTHROPLASTY, REPLACEMENT, HIP"[MeSH Terms] OR "HIP PROSTHESIS" [MeSH Terms]
6"Hip prosthesis" OR THA OR THR OR "Total hip replacement" OR "Total hip arthroplasty" OR "Hip replacement"
75 OR 6
83 AND 4 AND 7
Search strategy used in PubMed literature search

Study selection

The following inclusion and exclusion criteria were applied in order to determine the studies to be used: Inclusion criteria THA patients (any indication for surgery) Uncemented and/or cemented prostheses (acetabular cups and/or femoral stems) Digital templating used as the method of templating Official digital templating software used Papers reporting the accuracy and/or inter-observer reliability and/or intra-observer reliability of preoperative digital templating in THA Papers from any date of publication Papers in English/translated into English Papers published electronically and/or in print Exclusion criteria: Full texts not in English (or not translated into English) Papers with a mixed cohort of both cemented and uncemented THA prostheses without a direct comparison between the two Only studies with specific and individual data (accuracy, inter-observer reliability or intra-observer reliability) for uncemented and/or cemented prostheses were used in order to allow a direct comparison between the two designs. For restricted access papers local trust librarians were contacted in order to gain access. The study selection process, screening for eligibility and inclusion, was independently performed by two reviewers (first and second authors). Any papers that did not meet the inclusion criteria were excluded and all papers that satisfied the inclusion criteria were included. A third reviewer (senior author) was available to resolve any potential disputes in the study selection process.

Quality of evidence and risk of bias assessment

The quality of evidence and risk of bias were assessed at the study level according to the Institute of Health Economics (IHE) Quality Appraisal of Case Series Studies Checklist[10] or the Critical Appraisals Skills Programme (CASP) Randomised Controlled Trials Checklist,[11] depending upon the study type. The IHE checklist was modified, as per the official recommendations, by removing any criteria irrelevant for this study (e.g. co-interventions and follow-up). The critical appraisal was independently performed by two of the authors (first and second authors) and a third reviewer (senior author) was available to resolve any potential disputes.

Data extraction

Data from the eligible papers were incorporated into a standardized data abstraction form in Microsoft Excel for analysis. Studies were grouped based upon the type of THA prosthesis used (i.e. cemented or uncemented femoral stem and cemented or uncemented acetabular cup) and the type of preoperative digital templating analysis (i.e. accuracy, inter-observer reliability or intra-observer reliability). Additional data were extracted from each paper in order to allow for subgroup analyses in the meta-analysis. This data included the level of experience of the individual performing the templating, the indication for surgery, the method of correcting for X-ray magnification and the presence of an X-ray magnification reference object. In order to assess this data some simplifications were made. For the level of templating experience of the templating practitioner, surgeons were classed as ‘senior’, and residents or equivalent roles (i.e. all non-surgeons), were grouped together as ‘junior’. A further ‘mixed’ group included both senior and junior templating practitioners. The indications for surgery were grouped as either ‘complex’, which included hips with deformities and technical issues such as dysplastic hips (developmental dysplasia of the hip – DDH), femoral head necrosis (avascular necrosis – AVN) and Perthes’ disease, or ‘simple’, which included osteoarthritis (OA) and rheumatoid arthritis (RA). An extra group entitled ‘mixed’ was used to represent both ‘complex’ and ‘simple’ indications for surgery that were not analysed separately. The method of preoperative X-ray magnification for templating was categorized as either being automatically completed by the ‘templating software’ or by a ‘manual method’. The specific ‘manual method’ details are described for the respective studies in Table 2.
Table 2.

Details of the 29 studies that were included from the literature search

Author + year of publicationType of studyNo. of THAs (or no. of cups + stems)Person performing the templatingX-ray magnification reference object (+ location)Templating softwareX-ray magnification correction techniqueProsthesis designDemographics (age, gender, BMI)Indications for THAQoE assessment
The et al 2005[16]R-CSCEM = 112 UCM = 61First authorYes (GT)Hyper-ORTHO (Rogan-Delft BV)TSUCM stem: Mallory Head (MH) prosthesisUCM cup: metal backed cup CEM stem: Scientific Hip Prosthesis (SHP)CEM cup: all poly (Biomet)NSOAIHE 12/16
The et al 2007[5]RCTCEM = 73UCM = 31Operating surgeon. Intra- and inter-observer reliability = 8 different surgeons (34 THAs)Yes (GT)Hyper-ORTHO (Rogan-Delft BV)TSUCM stem and cup: Mallory/head prosthesis with metal-backed cupCEM stem and cup: Scientific Hip Prosthesis all-poly cup (Biomet)Mean age 65 years (SD 14.9)Female 64%Mean BMI 27.7 kg/m² (SD 4.7)OARA (15%) AVN (36%)CASP 10/11
Wedemeyer et al 2008[17]P-CSUCM = 40Average of two surgeonsYes (GT)MediCad-system Version 2.06 (Hectec)TSUCM cup: Duraloc (DePuy) or Trident PSL (Stryker)UCM stem: Mayo short stem (Zimmer)Average age 45.8 years (±9.5)Female 47.5%AVN (65%) OA (35%)IHE 14/16
González Della Valle et al 2008[18]P-CSHybrid = 64One of authorsYes (GT)Impax ver 5.0 software package (Agfa Corporation)TSUCM cup: Trilogy cupCEM stem: VerSys Heritage(Both Zimmer)Left hip in 32 cases. Demographics NSPrimary OAIHE 10/16
Kosashvili et al 2009[19]P-CSUCM = 18Two surgeonsNoeFilm Medical (Merge Healthcare)TSUCM cup and stem: Trilogy acetabular cup +VerSys Fibre Metal Taper femoral stem (both Zimmer)NSPrimary OAIHE 10/16
Crooijmans et al 2009[20]R-CSCEM = 17UCM = 162 orthopaedic surgeons + 2 orthopaedic residents (one of each templated the uncemented THAs a second time)Yes (PS)IMPAX ES Orthopaedic Application planning software (Agfa Healthcare)TS + manual method (corrected magnification factor determined in study taking into account magnification of the hip)CEM stem: Muller Straight StemCEM cup: Muller Low Profile UCM stem: CLS Spotorno UCM cup: Fitmore Shell with Fitec poly insert (All Zimmer)Between 50 and 83 years of age.UCM Female 62.5%CEM Female 82.4%NSIHE 10/16
Kumar et al 2009[21]P-CSUCM = 45Two surgeons (one repeated)Yes (GT)TraumaCad (Voyant Health)TSUCM stem: uncollared Corail UCM cup: Pinnacle(Both DePuy)NSNSIHE 13/16
Gamble et al 2010[22]R-CSUCM = 402 senior staff surgeons and 1 senior residentYes(‘placed in groin’)Orthoview (Meridian Technique Ltd)TSUCM cup: TridentUCM Stem: Accolade or Omnifit ( All Stryker)18 males (45%) and 22 females (55%); mean age of 68 years (SD 11.9)OAIHE 12/16
Whiddon et al 2011[23]R-CSUCM = 51Arthroplasty fellowsYes(‘at bone level’)Impax (Agfa)TSUCM cup and stem: Trident acetabular cup. Secur-Fit Max or Accolade femoral stems (all Stryker)Mean age 59.9 years (SD 11.5). Mean BMI 27.7 kg/m² (SD 5.8)NSIHE 12/16
Zhao et al 2011[24]Retrospective Case-control studyUCM = 41 for Crowe type 2/3 dysplastic hipsUCM = 48 for other diseasesTwo investigators (level of experience NS)NoCedara I-Reach (Merge Healthcare)Manual method (average magnification factor determined in the study)UCM cup and stem: Secur-Fit HA stem and Osteonics Crossfire / Osteonics ceramic acetabular cups (both Stryker)Dysplastic hips: 20 females (57.1%) and 15 males (42.9%) aged between 49–65 years. Other diseases: 20 females (45.5%) and 24 males (54.5%) aged between 55–79 years23 Crowe type II hips and 18 Crowe type III hips. Other diseases: fractured femoral neck (n = 14), femoral head necrosis (n = 13) and primary OA (n = 21)IHE 10/6
Fottner et al 2011[25]R-CSCEM stem = 71 UCM stem = 49Orthopaedic surgeonYes (GT)EndoMap VA20A (Siemens)TSCem stem: MS30 ZimmerUCM stem: CR-stem ImplantacastUCM cup: screw-cups SC Aesculap46 men, 61 women, average age 70.7 years (range 42–88 years)101 OA, 14 aseptic necroses of the femoral head, 5 OA due to dysplasiaIHE 11/16
Gallart et al 2012[26]R-CSUCM = 55SurgeonYes(pubic symphysis)Neteous (Socinser)TSUCM cup and stem: PROSIC cup + stem (Socinser)22 women (40%) and 33 men (60%). Mean age 63 (range 26–84)OA (main diagnosis)IHE 12/16
Issa et al 2012[27]P-CSUCM = 100 first-generation stemsUCM = 100 second-generation stemsExperience NS. 25 X-rays in each group randomly re-assessedYes (NS)TraumaCad (Voyant Health)TSUCM cup and stem: 1st generation: Accolade TMZF (Stryker). Second generation: Accolade II (Stryker)First-generation stem: 46 males (46%) and 54 females (54%); mean age 56 years (range 23–80). Second-generation stem: 52 males (52%) and 48 females (48%); mean age 55 (range 19–79)NSIHE 13/16
Schmidutz et al 2012[28]R-CSUCM = 50 for SHAsUCM = 50 for conventional THAsAttending physician, fifth-year resident, third-year resident and first-year residentYes (GT)EndoMap (Siemens)TSUCM cup and stem: SHA: Metha, Aesculap uncemented. Conventional THA: CR-Stem Implantacast. Acetabular component: Screwcup or Plasmacup, AesculapSHA: 30 males (60%) and 20 females (40%); mean age 55.1 years (±11.6 years) (range 24–71 years). Conventional THA: 26 males (52%) and 24 females (48%); mean age 65.0 years (±6.0 years) (age range 24–71)SHA: OA (80%), AVN (16%) and acetabular dysplasia (4%). Conventional THA: OA (88%), AVN (4%) and acetabular dysplasia (8%)IHE 13/16
Bertz et al 2012[29]R-CSTotal = 129 CEM stem = 78 UCM stem = 51Two surgeonsYes (‘inner aspect of the thigh nearest possible to the pelvis’)Mdesk (RSA Biomedical)TSCEM stem: Lubinus SPII Hip System (LINK)CEM cup: Elite Plus Ogee (DePuy) cupUCM stem: reverse hybrid Corail femoral cementless stem85 females (65.9%) and 44 males (34.1%). Mean age 66 yearsNSIHE 14/16
Jassim et al 2012[2]R-CSHybrid = 42CEM = 17NSNoOrthoView (Southampton)Manual method (magnification determined according to X-ray focal spot measurements)CEM stem: Exeter stem (Stryker) CEM cup: Contemporary cup (Stryker)UCM cup: Trident cup (Stryker) or Reflection cup (Smith&Nephew)NSNSIHE 11/16
Mittag et al 2012[30]R-CSUCM cup = 84 CEM cup = 22 CEM stem= 90 UCM stem = 16Three orthopaedic residents + experienced orthopaedic surgeonYes (GT)EndoMap (Siemens)TSUCM cup: AllofitUCM stem: M/L TaperCEM cup: DurasulCEM stem: Muller straight stem (All Zimmer)54 females (50.9%) and 52 males (49.1%)Primary OAIHE 10/16
Shaarani et al 2013[3]P-CSUCM = 100Senior author (surgeon)Yes (NS)Orthoview (version 2.0CEN; Meridian Technique Ltd)TSUCM cup and stem: Trident cup + Accolade stem (Stryker-Howmedica-Osteonics)48 male (52.2%) and 44 female (47.8%). Mean age 60 yearsOAIHE 13/16
Riddick et al 2014[31]R-CSUCM = 53NSYes (GT)MediCad (Hectec)Manual method (manual calculation using calibration ball)UCM cup and stem: Profemur-Z stem and Procotyl cup (Wright Medical)20 males and 33 women. Age range 17 to 80. Mean age 60 years. Mean BMI 28.6 kg/m² (range 18–45 kg/m²)NSIHE 8/16
Kniesel et al 2014[32]P-CSUCM cup = 52 (no reference ball)UCM stem = 38 (reference ball)One surgeonYes(‘between the legs, as near to the joint as possible’)MediCad (Hectec)TSUCM cup and stem: Bicontact stems and plasma pore-coated acetabular cups from the Aesculap company (B-Braun Melsungen AG; Tuttlingen, Germany)Mean BMI 26.37 kg/m² (±0.7775)NSIHE 12/16
Hafez et al 2016[33]P-CSCEM = 3UCM = 20 Hybrid = 2NSYes (ASIS)MergeOrtho (Chicago)TSUnknownNSAll complex THA cases (no definition)IHE 10/16
Shemesh et al 2017[34]R-CSUCM = 148SurgeonYes (GT)Orthoview (Meridian Technique Ltd)TSUCM cup and stem: Tritanium cup and Accolade II stem (Stryker)Direct approach: mean age 62.4 years (SD 13.1); 44 females (59%) and 31 males (41%); mean BMI 26.6 kg/m² (SD 3.3). Posterior approach: mean age 60.9 years (SD 15.8); 45 females (62%) and 28 males (38%); mean BMI 29.8 kg/m² (SD 5.8)Severe, end-stage OA or end-stage AVN of the femoral headIHE 12/16
Strøm et al 2017[35]R-CSUCM = 34Sixth-year resident, senior chief attending surgeon and chief attending surgeonYes(‘between the legs, as close to the focal point of the X-ray beam as possibl’)EndoMap (Siemens)TSUCM cup and stem: Zimmer Trilogy cup and DePuy Corail stem22 females (65%) and 12 males (35%). Age range 13 to 82 years. Mean age 51 yearsPrimary OA (44%), AVN of femoral head (18%), DDH (18%), Perthes’ disease (12%) and miscellaneous (9%)IHE 11/16
Dong et al 2017[36]R-CSUCM = 577Senior surgeon. 31 stems + 17 cups required templating adjustment (new method used adjusting for femoral external rotation, osteoporosis in femur, osteosclerosis in acetabulum and stem typeYes (GT)TraumaCad (Voyant Health)TSUCM cup and stem: Trident PSL HA cup + Accolade HFx stem (Stryker) (30 patients). Duraloc cup + uncollared Corail stem (Depuy) (28 patients)42 males (72.4%) and 16 females (33.3%). Mean age 51.05 years (±13.7 years). Range 23–74 yearsOsteonecrosis of the femoral headIHE 13/16
Strøm and Reikerås 2018[37]R-CSUCM = 41SurgeonsYes(‘between the legs, as close to the focal point of the X-ray beam as possible’)EndoMap (Siemens)TSUCM cup and stem: Zimmer trilogy cup and DePuy Corail stem26 females (63%) and 15 men (37%). Age range 13–82 years. Mean age 50 yearsPrimary OA (41%), DDH (22%), AVN of the femoral head (15%), Perthes’ disease (10%) and miscellaneous (12%)IHE 10/16
Holzer et al 2019[38]R-CSUCM = 632Consultants or residentsYes (GT)Syngo-EndoMap (Siemens)TSUCM cup and stem: Allofit cup and Alloclassic stem (Zimmer). Pinnacle cup and Corail stem (DePuy)282 male (45%) and 350 female (55%). Mean age 65.7 years (±12.1 SD). BMI underweight 0.5%, normal weight 28.6%, overweight 44.1% and obese 26.7%Primary OAIHE 12/16
Montiel et al 2020[39]P-CSUCM = 39One junior resident, one senior resident and three experienced hip surgeonsYes (‘inner area of the thigh, as close as possible to the femoral head’)MediCad (Hectec)TSUCM cup and stem: Allofit cup (Zimmer) and CLS Spottorno Stem (Zimmer)24 (61.5%) men, 15 (38.5%) women. Mean age 65 (SD 9). Left THA n = 14, (35.9%). Right THA n = 25 (64.1%)NSIHE 14/16
Shichman et al 2020[40]P-CSUCM = 101Two residents and two fellowship-trained surgeonsYes (King Mark method – radiolucent marker pad placed behind the pelvis as well as a marker with radio-opaque balls placed in front of the pelvis)TraumaCad (Voyant Health)TSUCM cup and stem: Pinnacle cup (Depuy) and Corail stem (Depuy)57 females, 44 males. Mean age at surgery 65.5 (SD 13.6). Left THA n = 47. Right THA n = 54OA 79 patients (78.2%), DDH 13 patients (12.9%) and AVN 9 patients (8.9%). DDH and AVN operations were classed as ‘complex cases’IHE 13/16
Brenneis et al 2021[41]Randomised CSUCM = 28Templated twice by two independent observers (unknown level of experience)Yes (GT)TraumaCad version 2.3.4.1 (Voyant Health)TSUCM cup: press-fit Allofit cup (Zimmer)UCM stems: diaphyseal press-fit Alloclassic Zweymuller ‘Step Less’ or ‘Step Less Offset’ straight stem (Zimmer) and metaphyseal-anchoring standard or lateralized short-stem Optimys (MathysLtd)2D group: 12 females, 16 males. Average age 63.5 years (SD 10.0). 13 short stems. 15 straight stemsUnilateral OA (Kellgren Lawrence Grade ⩾ 3)CASP 10/11

Note. CS, case series (R, retrospective; P, prospective); CEM, cemented; UCM, uncemented; GT, greater trochanter; BMI, body mass index; IHE, Institute of Health Economics; QoE, quality of evidence; CASP, Critical Appraisal Skills Programme; TS, templating software; NS, not specified; OA, osteoarthritis; RCT, randomized control trial; RA, rheumatoid arthritis; AVN, avascular necrosis; PS, pubic symphysis; SHA, short stem hip arthroplasty; ASIS, anterior superior iliac spine; DDH, developmental dysplasia of the hip; THA, total hip arthroplasty.

Details of the 29 studies that were included from the literature search Note. CS, case series (R, retrospective; P, prospective); CEM, cemented; UCM, uncemented; GT, greater trochanter; BMI, body mass index; IHE, Institute of Health Economics; QoE, quality of evidence; CASP, Critical Appraisal Skills Programme; TS, templating software; NS, not specified; OA, osteoarthritis; RCT, randomized control trial; RA, rheumatoid arthritis; AVN, avascular necrosis; PS, pubic symphysis; SHA, short stem hip arthroplasty; ASIS, anterior superior iliac spine; DDH, developmental dysplasia of the hip; THA, total hip arthroplasty.

Outcomes

The outcomes assessed were accuracy, inter-observer reliability and intra-observer reliability of preoperative digital templating for both cemented and uncemented implants (acetabular cups and femoral stems). The accuracy (measured as proportions) was calculated by comparing the number of implanted prostheses that were exactly the same size as the templated size, within (±1) one size difference or within (±2) two size differences. Throughout the literature a difference of (±1) one size was widely regarded as acceptable.[5] The inter-observer reliability was the measure of agreement between the templating results of multiple observers. The intra-observer reliability was the measure of agreement between the templating results of the same observer taken over multiple time points. The values used to determine the level of agreement in both the inter-observer and intra-observer reliabilities were weighted kappa values (κ), intra-class correlation coefficients (ICC) and the Pearson correlation coefficient (PCC).

Statistical analysis

A series of random-effects meta-analyses was performed for accuracy (repeated for exact, one-size and two-size differences) and reliability measures (repeated for inter-observer and intra-observer reliabilities). For reliability measures, the standard error for each ICC was calculated using the 95% CI when reported, but, if not, the standard error was calculated using the formula detailed by Borenstein et al.[12] There were not many studies that reported the PCC and standard errors or 95% CIs for kappa values, so PCC and kappa values were not included in the meta-analyses. DerSimonian-Laird (DL) or profile likelihood (PL) methods were used in the random-effects models as suggested by Kontopantelis and Reeves.[13] Heterogeneity was measured using the I2 statistic. Subgroup analyses by type of prosthesis or other factors were performed for each meta-analysis to account for heterogeneity and assess between-group differences. Those that failed to reach statistical significance in the test of group differences were not detailed in the results section. The meta-analyses were performed using the ‘metan’ package (version 4.02) in Stata 16.1[14] and the results were presented as forest plots.

Results

Search results and characteristics

The number of papers screened, assessed for eligibility and included in the review are detailed in the PRISMA flowchart (Fig. 1), with the study characteristics shown in Table 2.
Fig. 1

PRISMA flowchart.[15]

PRISMA flowchart.[15] The systematic review and meta-analysis included a total of 29 papers. Twenty-four studies investigating accuracy, five investigating inter-observer reliability and five investigating intra-observer reliability were included in the meta-analysis. The papers used have been detailed in Table 2 and Table 3. Any papers that were not used in the meta-analysis were still appraised as part of the systematic review.
Table 3.

Details of the studies included in the meta-analysis for the accuracy and inter-observer and intra-observer reliability outcomes

Author + year of publicationProsthesis designIncluded in accuracy meta-analysisIncluded in inter-observer reliability meta-analysisIncluded in intra-observer reliability meta-analysis
The et al 2005[16]UCM stem + cupCEM stem + cup
The et al 2007[5]UCM stem + cupCEM stem + cup
Wedemeyer et al 2008[17]UCM cup + stem
González Della Valle et al 2008[18]UCM cup + stem
Kosashvili et al 2009[19]UCM cup + stem
Crooijmans et al 2009[20]CEM stem + cupUCM stem + cup
Kumar et al 2009[21]UCM stem + cup
Gamble et al 2010[22]UCM cup + stem
Whiddon et al 2011[23]UCM cup + stem
Zhao et al 2011[24]UCM cup + stem
Fottner et al 2011[25]CEM stemUCM stem + cup
Gallart et al 2012[26]UCM cup + stem
Issa et al 2012[27]UCM cup + stem
Schmidutz et al 2012[28]UCM cup + stem
Bertz et al 2012[29]CEM stem + cupUCM stem
Jassim et al 2012[2]CEM stem + cupUCM cup
Mittag et al 2012[30]UCM cup + stemCEM cup + stem
Shaarani et al 2013[3]UCM cup + stem
Riddick et al 2014[31]UCM cup + stem
Kniesel et al 2014[32]UCM cup + stem
Hafez et al 2016[33]Unknown
Shemesh et al 2017[34]UCM cup + stem
Strøm et al 2017[35]UCM cup + stem
Dong et al 2017[36]UCM cup + stem
Strøm and Reikerås 2018[37]UCM cup + stem
Holzer et al 2019[38]UCM cup + stem
Montiel et al 2020[39]UCM cup + stem
Shichman et al 2020[40]UCM cup + stem
Brenneis et al 2021[41]UCM cup + stems

Note. CEM, cemented; UCM, uncemented.

Details of the studies included in the meta-analysis for the accuracy and inter-observer and intra-observer reliability outcomes Note. CEM, cemented; UCM, uncemented.

Meta-analysis results for the accuracy of templating

There were a total of 6,305 THA prostheses (stems and cups, cemented and uncemented) included in the accuracy meta-analysis. This included 392 cemented cups, 671 cemented stems, 2,571 uncemented cups and 2,671 uncemented stems. There was no statistically significant difference between the cemented and uncemented groups for exact accuracy (p = 0.890; Fig. 2), but when assessing accuracy for one size difference (±1) the cemented implants were more accurate than the uncemented (p = 0.002; Fig. 3). The same applied to the two-size difference analysis (±2), although only one study reported on cemented stems (p =0.005; Fig. 4).
Fig. 2

Forest plot for exact size accuracy meta-analysis results.

Note. CI, confidence interval; PL, profile likelihood.

Fig. 3

Forest plot for one-size difference (±1) accuracy meta-analysis results.

Note. CI, confidence interval; PL, profile likelihood.

Fig. 4

Forest plot for two-size difference accuracy (±2) meta-analysis results.

Note. CI, confidence interval; PL, profile likelihood.

Forest plot for exact size accuracy meta-analysis results. Note. CI, confidence interval; PL, profile likelihood. Forest plot for one-size difference (±1) accuracy meta-analysis results. Note. CI, confidence interval; PL, profile likelihood. Forest plot for two-size difference accuracy (±2) meta-analysis results. Note. CI, confidence interval; PL, profile likelihood. For all the accuracy scenarios there was a high heterogeneity, even after accounting for the type of prosthesis, and when other factors were tested the heterogeneity remained high. Forest plots for statistically significant group factors can be seen in Figs. 5–7. These included X-ray magnification technique and indication for surgery.
Fig. 5

Forest plot for exact size accuracy meta-analysis results: subgroup analysis for X-ray magnification technique.

Note. CI, confidence interval; PL, profile likelihood.

Fig. 7

Forest plot for two-size difference accuracy (±2) meta-analysis results: subgroup analysis for indication for surgery.

Note. CI, confidence interval; DL, DerSimonian-Laird.

Forest plot for exact size accuracy meta-analysis results: subgroup analysis for X-ray magnification technique. Note. CI, confidence interval; PL, profile likelihood. Forest plot for one-size difference (±1) accuracy meta-analysis results: subgroup analysis for indication for surgery. Note. CI, confidence interval; PL, profile likelihood. Forest plot for two-size difference accuracy (±2) meta-analysis results: subgroup analysis for indication for surgery. Note. CI, confidence interval; DL, DerSimonian-Laird.

Inter-observer and intra-observer reliability meta-analysis results

There were a total of 2,470 THA prostheses (stems and cups, cemented and uncemented) included in the inter-observer reliability meta-analysis. This included 89 cemented cups, 89 cemented stems, 1,121 uncemented cups and 1,171 uncemented stems. There were a total of 1,174 THA prostheses (stems and cups, cemented and uncemented) included in the intra-observer reliability meta-analysis. This included 21 cemented cups, 21 cemented stems, 541 uncemented cups and 591 uncemented stems. The inter-observer agreement was higher for uncemented prostheses than cemented ones (p = 0.004); Fig. 8). Suitable intra-observer reliability studies were only available for uncemented prostheses and demonstrated no significant differences between uncemented cups and stems (p = 0.124; Fig. 9). Inter-observer reliability, irrespective of prosthesis type (0.85 [0.82–0.88]; Fig. 8) was lower than the intra-observer reliability, irrespective of implant design (0.89 [0.87–0.91]; Fig. 9).
Fig. 8

Forest plot for inter-observer reliability meta-analysis results.

Note. ICC, intraclass correlation coefficients; CI, confidence interval; DL, DerSimonian-Laird.

Fig. 9

Forest plot for intra-observer reliability meta-analysis results.

Note. ICC, intraclass correlation coefficients; CI, confidence interval; DL, DerSimonian-Laird.

Forest plot for inter-observer reliability meta-analysis results. Note. ICC, intraclass correlation coefficients; CI, confidence interval; DL, DerSimonian-Laird. Forest plot for intra-observer reliability meta-analysis results. Note. ICC, intraclass correlation coefficients; CI, confidence interval; DL, DerSimonian-Laird. The heterogeneity of the inter-observer and intra-observer reliability studies is much smaller than that of the accuracy studies. Inter-observer reliability subgroup analysis of the presence of the X-ray reference object reached statistical significance (p = 0.010; Fig. 10).
Fig. 10

Forest plot for inter-observer reliability meta-analysis results: subgroup analysis for X-ray reference object.

Note. ICC, intraclass correlation coefficients; CI, confidence interval; DL, DerSimonian-Laird.

Forest plot for inter-observer reliability meta-analysis results: subgroup analysis for X-ray reference object. Note. ICC, intraclass correlation coefficients; CI, confidence interval; DL, DerSimonian-Laird.

Discussion

The results demonstrated that preoperative digital 2D templating had a higher level of accuracy for prosthesis size prediction in cemented prostheses than uncemented ones, but that the inter-observer reliability was higher for uncemented prostheses than cemented ones. Intra-observer reliability could only be assessed for uncemented implants and confirmed a high level of agreement for uncemented cups and stems. The superior accuracy of templating for cemented implants may be the result of the cement mantle allowing for slight differences rather than the hard anatomical constraints of the bone required for press-fit of the uncemented ones. Incremental size increases for cemented prostheses also tend to be greater, and therefore there are fewer cemented implant sizes to select from. This consequently raises the likelihood of a closer match between the templated and implanted cemented prostheses sizes, and hence a higher level of templating accuracy. Uncemented prostheses require under-reaming and an exact press-fit operative technique. It is more likely that surgeons may opt to use a smaller size of prosthesis than originally templated in order to reduce the risk of peri-prosthetic fracture or leg lengthening associated with over-sized prostheses.[19] This could theoretically contribute to the perceived lower accuracy of preoperative templating in uncemented prostheses. The insertion of uncemented prostheses is also reliant on the underlying bone quality, which is often difficult to assess on preoperative radiographs. Once again this could explain the higher accuracy when templating for cemented implants. Interestingly, inter-observer reliability was greater for uncemented implants, which once again could be the result of the more subjective allowance of space for the cement mantle that is less reliable than using the clearer bony landmarks for guidance when templating uncemented prostheses.[30] There were no suitable studies for the assessment of intra-observer reliability when templating cemented implants because none reported ICC values. In terms of a qualitative assessment, The et al directly compared the inter-observer and intra-observer reliabilities for both cemented and uncemented prostheses and found that the templating of uncemented THA prostheses had higher kappa values than their cemented counterparts.[5] They also found that the intra-observer reliability was always higher than the inter-observer reliability, which lends itself to the recommendation that the preoperative templating for THA should be done by the operating surgeon. The main limitation in this meta-analysis is the heterogeneity of methodologies used in each study (Table 2). The differing types, sizes and designs of prostheses, patient numbers, indications for surgery, level of templating experience of the templating practitioner and templating software used in each study contributed to this heterogeneity. Subgroup analysis of the variables of X-ray magnification technique and indications for surgery (Figs 5–7) reached statistical significance (p = 0.023, p = 0.033 and p = 0.008, respectively). Concerning X-ray magnification, the majority of the studies used the inbuilt X-ray magnification feature in the templating software, but four studies used manual X-ray magnification techniques. Some studies even included different magnification techniques within the same study. X-ray magnification reference objects are considered standard practice because they allow the calculation of an accurate and reliable magnification factor. In three of the studies no X-ray magnification reference objects were used in the preoperative X-ray procedure. In two of these studies a manual preoperative X-ray magnification technique was used instead. In the studies that did use a magnification reference object, there was significant variability in the positioning of the reference object, with the most common location being adjacent to the greater trochanter (13 studies). In some studies, the location of the reference object was not clearly specified (e.g. ‘placed at bone level’). The study-specific limitations have been presented in the critical appraisal of the quality of evidence (Table 2). One of the more generic limitations, which was not specific to any particular study, was the fact that there was no consistent, objective method for determining whether or not the size of prosthesis that had actually been implanted was suitable. Consequently, most of these studies were investigating the accuracy of templating in prosthesis size prediction based upon the implanted prosthesis, regardless of whether or not it was suitable, rather than the accuracy of templating in determining the correct size, shape and position of the prosthesis. For this reason, surgical inaccuracy, rather than templating inaccuracy, may well have negatively affected the accuracy measurements, and therefore, the effect sizes in some of the studies. In the study by Gamble et al, the inclusion criteria only included patients with appropriately sized and positioned THA implants on postoperative radiographic analysis, and this supported a potential reduction of the effect of surgical inaccuracy on the accuracy of templating results.[22] A detailed assessment of the size, shape and position of the implants on postoperative radiographs should therefore be used as the gold-standard methodology for any future studies investigating the accuracy of preoperative templating, because all three measurements need to be satisfied in order to restore the original hip biomechanics.[7]

Conclusion

Although greater for cemented implants, the accuracy of digital 2D templating in prosthesis size prediction was high (> 70% for within one prosthesis size) for both cemented and uncemented THA implants, supporting its continued routine use in preoperative planning, irrespective of the method of fixation. The intra-observer reliability was greater than the inter-observer reliability for uncemented implants, suggesting that it should be the surgeon performing the procedure who also performs the templating.
  34 in total

1.  Effect of training level on accuracy of digital templating in primary total hip and knee arthroplasty.

Authors:  Andrew R Hsu; Jeffrey D Kim; Sanjeev Bhatia; Brett R Levine
Journal:  Orthopedics       Date:  2012-02-17       Impact factor: 1.390

2.  Reproducibility and accuracy of templating uncemented THA with digital radiographic and digital TraumaCad templating software.

Authors:  Panamoottil G Anil Kumar; Sayyied J Kirmani; Heike Humberg; Venu Kavarthapu; Patrick Li
Journal:  Orthopedics       Date:  2009-11       Impact factor: 1.390

3.  Comparing the accuracy of radiographic preoperative digital templating for a second- versus a first-generation THA stem.

Authors:  Kimona Issa; Robert Pivec; Bradley Boyd; Steven F Harwin; Thies Wuestemann; Jim Nevelos; Michael A Mont
Journal:  Orthopedics       Date:  2012-12       Impact factor: 1.390

4.  Comparison of analog and digital preoperative planning in total hip and knee arthroplasties. A prospective study of 173 hips and 65 total knees.

Authors:  Bertram The; Ron L Diercks; Peter M A van Ooijen; Jim R van Horn
Journal:  Acta Orthop       Date:  2005-02       Impact factor: 3.717

5.  The accuracy of digital templating in uncemented total hip arthroplasty.

Authors:  Patrick Gamble; Justin de Beer; Danielle Petruccelli; Mitchell Winemaker
Journal:  J Arthroplasty       Date:  2009-06-02       Impact factor: 4.757

6.  Effects of surgeon experience and patient characteristics on accuracy of digital pre-operative planning in total hip arthroplasty.

Authors:  Ittai Shichman; Shai Factor; Or Shaked; Samuel Morgan; Nissan Amzallag; Aviram Gold; Nimrod Snir; Yaniv Warschawski
Journal:  Int Orthop       Date:  2020-07-22       Impact factor: 3.075

7.  Accuracy of preoperative templating in total hip arthroplasty.

Authors:  Andrew Riddick; Adam Smith; D Phill Thomas
Journal:  J Orthop Surg (Hong Kong)       Date:  2014-08       Impact factor: 1.118

8.  Digital templating for THA: a simple computer-assisted application for complex hip arthritis cases.

Authors:  Mahmoud A Hafez; Gad Ragheb; Adel Hamed; Amr Ali; Said Karim
Journal:  Biomed Tech (Berl)       Date:  2016-10-01       Impact factor: 1.411

9.  Total Hip Arthroplasty Digital Templating: Size Predicting Ability and Interobserver Variability.

Authors:  Veronica Montiel; Santiago Troncoso; Andrés Valentí-Azcárate; Juan Ramón Valentí-Nin; Jose María Lamo-Espinosa
Journal:  Indian J Orthop       Date:  2020-08-03       Impact factor: 1.251

Review 10.  Total hip arthroplasty planning.

Authors:  Alessandro Colombi; Daniele Schena; Claudio Carlo Castelli
Journal:  EFORT Open Rev       Date:  2019-11-01
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