A Histological and Biomechanical Analysis of Human Acellular Dermis (HAD) Created Using a Novel Processing and Preservation Technique.

Background: Large and complex defects requiring reconstruction are challenging for orthopaedic surgeons. The use of human acellular dermal (HAD) matrices to augment large soft tissue defects such as those seen in massive rotator cuff tears, knee extensor mechanism failures and neglected Tendo-Achilles tears has proven to be a valuable tool in surgeons reconstructive armamentarium. Different methods for allograft decellularization and preservation alter the native properties of the scaffold. Traditional processing and preservation methods have shown to have drawbacks that preclude its widespread use. Some of the common issues include inferior biomechanical properties, the risk of rejection, limited customization, difficulty in storing and transporting, the requirement of pre-operative preparation, and last but not the least increased cost. Methods: We describe a novel processing and preservation method utilizing a two-step non-denaturing decellularization method coupled with preservation using a water-sequestering agent (glycerol) to remove immunogenic components while retaining biomechanical properties. The efficiency of this novel process was compared with the traditional freeze-drying method and verified by histological evaluation and biomechanical strength analysis. Results: The absence of cellular components and matrix integrity in hematoxylin and eosin-stained glycerol-preserved HAD (gly-HAD) samples compared to freeze-dried HAD (FD-HAD) demonstrated effective yet gentle decellularization. Biomechanical strength analysis revealed that gly-HADs are stronger with an ultimate tensile load to the failure strength of 210 N compared to FD-HAD (124N). The gly-HADs were found to have an optimal suture-retention strength of 126 N. Finally, sterility testing of the resultant grafts was checked to ensure a sterility assurance level of 10-6 to establish implantability. Conclusion: The novel processing and preservation technique is described in this paper to create a Human Acellular Dermis with higher biomechanical strength and superior histological characteristics. The processing and preservation technique ensured high sterility assurance levels to establish implantability.

Is There a Scope for an Open Source Philosophy in Robotic Joint Replacement?: Why and How to Make Robotic Platforms Common and Universal for All Implants !

Background: Standardisation and open source technologies has transformed our world by levelling the field for innovation and improvisation. In the field of arthroplasty, we are seeing robotic technology make giant strides in terms of wide spread adoption across geographies. The benefits of consistency, reduced intra-surgeon and inter-surgeon variability as well as decreased dependence on complex instrumentation sets and large implant inventories, is a step in the right direction. However they suffer from a very significant drawback; today's robotic systems are essentially closed systems and do not offer cross platform and cross implant compatibility. Materials and Methods: This point of view dwells on why it is important that robotics become open source and how this can be achieved. A universal system of implant sizing and nomenclature is proposed. This may enable the use of Robotic platform across various commercially available implants seamlessly. Results: As of today, scientific literature and also the marketing literature provides no verifiable rationale for use of varied implant sizing terminology. The proposed universal implant sizing and nomenclature can be based on the Anteroposterior and mediolateral size data obtained from various anthropometric studies down across varied races. Conclusion: TBy building a consensus on the universal implant sizing nomenclature, the field of arthroplasty will achieve a major milestone. It will have benefits including easier documentation, storage and transmission of data. Most importantly, it will be the right step in direction of making the Robotic Technology - open source and thus making it available, accessible and affordable to all.

What Are Culturally Relevant Activities of Daily Living in the Asian-Indian Population? A Survey of 402 Patients With Knee Pain.

BACKGROUND: Patient-reported outcome measures are essential tools in assessing clinical outcomes. Although several patient-reported outcome measures such as the Oxford Knee Score and Knee Injury and Osteoarthritis Outcome Score have been developed and validated, their applicability in the Asian-Indian population may be limited; key cultural differences including varying functional demands, ethnicity-specific necessities, and social expectations represent a unique collection of needs. Such differences include preferences toward ground-level activities and those favoring the manual completion of tasks. QUESTIONS/PURPOSES: (1) Which activities of daily living (ADLs) do patients in an Asian-Indian population consider the most important? (2) How do the categories of ADLs (personal care, household, work, travel, and recreation) vary among patients of different gender (men and women) and age (< 60 and > 60 years) groups? METHODS: A cross-sectional study was conducted in October 2019 at a hospital in Mumbai, India. We developed a questionnaire with five domains for physical activity (personal care, household, work, travel, and recreation) formulated from a review and modification of existing categories identified by the WHO and the American Heart Association. Forty key ADLs were identified according to input obtained from detailed interviews of healthcare providers involved in the care of patients with orthopaedic illness, based on established domains. Respondents were instructed to identify the ADLs that were the most relevant to their lifestyle and culture. Responses from 402 patients (mean age 60 ± 12 years; 51% [206 of 402] were women) were analyzed to identify the most commonly selected ADLs. Responses were further evaluated to understand the impact of gender and age on these preferences by comparing men and women, as well as younger (age < 60 years) and older (age > 60 years) patients. RESULTS: The three most frequently reported ADLs in each domain, representing the ADLs that were the most important to the Asian-Indian population, were standing without assistance (82% [331 of 402]), getting up with support (81% [324 of 402]), and toilet use (74% [298 of 402]) in the personal activity category; climbing stairs (80% [322 of 402]), sitting cross-legged (80% [320 of 402]), and praying (79% [319 of 402]) in the household activity category; going to the market (72% [291 of 402]), long-distance walking (62% [250 of 402]), and carrying a shopping bag (60% [242 of 402]) in the work activity category; walking on an uneven surface (66% [266 of 402]), using a taxi (61% [247 of 402]), and traveling by train (59% [239 of 402]) in the travel activity category; and yoga (67% [269 of 402]), playing with children (66% [264 of 402]), and indoor games (63% [252 of 402]) in the recreational activity category. The order of importance of ADL domains was identical in the men versus women groups as well as in the younger age versus older age groups; ADL domains with the highest number of selected ADLs in order of decreasing importance were household care, personal care, work, travel, and recreation when analyzed by individual gender and age groups. Women were more likely than men to report the following ADLs as being important: climbing stairs (84% [172 of 206] of women and 77% [150 of 196] of men), getting up without support (83% [171 of 206] of women and 78% [153 of 196] of men), going to the market (74% [152 of 206] of women and 71% [139 of 196] of men), walking on uneven surfaces (67% [139 of 206] of women and 65% [127 of 196] of men), and playing with children (72% [148 of 206] of women and 59% [116 of 196] of men). CONCLUSION: The findings of this study aim to help providers engage in personalized and socioculturally relevant discussions about knee arthritis. Highlighted areas of importance may facilitate a more comprehensive preoperative discussion of total joint arthroplasty expectations in the context of the needs and demands of Asian-Indian patients. The findings of this study could establish the groundwork for the development of ethnicity-specific patient-reported outcome measures by incorporating the identified ADLs in novel metrics with validation of face and content validity.Level of Evidence Level III, prognostic study.

Results of an Audit of Orthopaedic Operation Notes from a Tertiary Care Centre: Are We Doing It Right and Can We Do More?

Introduction: The Royal College of Surgeons (RCS) published the Good Surgical Practice guidelines in 2008 and subsequently revised them in 2014. Essentially, they outline the basic standards that need to be met by all surgical operation notes. The objective of the present study was to retrospectively audit the orthopaedic operation notes from a tertiary care hospital in Mumbai (between October 2020 to March 2021) against the recommended RCS Good Surgical Practice guidelines published in 2014. Method: In the present study a total of 153 orthopaedic operation notes of 200 patients were audited by a single reviewer. During the period between October 2020 and March 2021, the data collection took place. All notes were typed on the standard operative proforma available on the hospital patient management software (SAP). Results: Overall, the mandated fields in the EMR had excellent documentation. Documentation was excellent for the date and time of surgery, name of the surgeon, the procedure performed (100%), operative diagnosis (99.35%), an extra procedure performed (100%), and details of antibiotic prophylaxis (99.35); Inadequate for details of incision (94.77%), details of operative findings (92.16%), details of prosthesis (97.37%), DVT prophylaxis (96.08%) and detailed post-operative instructions (93.46%) and poor for tourniquet time (41.83%;), estimated blood loss (59.48%), closure details (16.99%), documentation of complications or lack of (51.63%) and setting of surgery elective or emergency (0%). Conclusion: Compliance for completion and documentation of operative procedures was high in some areas; improvement is needed in documenting tourniquet time, prosthesis and incision details, and the location of operative diagnosis and postoperative instructions. With wider adoption of electronic medical record systems, there is a scope of improving documentation by mandating certain fields.

Obturator Internus Bursitis Mimicking Groin Pain in a Football Player: A Case Report.

Introduction: Traumatic groin pain (GP) is frequently the result of acute trauma, often an indirect muscle injury. The most affected muscles in traumatic GP are the rectus abdominis, adductors, and iliopsoas. The obturator internus bursitis as a cause of GP is very rare. Case Presentation: The present case describes a rare indirect injury of obturator internus bursitis in a 22-year-old male football player who reported GP that used to worsen with sprinting and change in directions. The pain was relieved with rest and sprinting at 80% capacity. The patient had been diagnosed clinically and on magnetic resonance imaging (MRI) as a case of obturator internus insertional tendinopathy with bursitis. His symptoms resolved after ultrasound-guided injection in the inflamed tendon sheath at its insertion point. After 2 years, the patient was followed up with a triumphant return to professional football with no recurrence and a good prognosis in a relatively short recovery time. Conclusion: Clinical diagnosis of obturator injuries is often tricky. GP not responding to conservative management presents a unique challenge to the physician and the rehabilitation team. MRI must follow the radiological investigations and ultrasound if the reports were inconclusive of the diagnosis. In the present case study, the usual causes of such pain (osteitis pubis, and adductor muscle strains/tendinosis) were ruled out, and a specific unique condition was diagnosed with the help of the MRI.

It's the Biology Orthopods! Heralding a Reconstructive Revolution Through Musculoskeletal Tissue Banks (MSTB) in India.

Background: A tissue bank is an establishment that aids in retrieval, processing, storage, and distribution  of human tissue for transplantation. For many years, such banks have been dispensing tissue to orthopaedic surgeons, performing reconstructive surgeries. Methodology: The retrieval, preparation, and delivery of musculoskeletal tissue used for transplantation is an intricate process  involving varying practices among different musculoskeletal tissue banks. Results: Musculoskeletal allografts are used in various orthopaedic surgeries ranging from primary bone defects, trauma, and carcinoma to congenital disabilities. Every decade brings in paradigm shifts and new hope for treating challenging cases with the aid of newer devices and materials. Conclusion: This review article outlines various technical, regulatory and quality enhancement steps involved in tissue banking. Also, it discusses the road ahead and the research avenues for developing novel allograft products with the synergy of tissue banks and clinicians. Supplementary Information: The online version contains supplementary material available at 10.1007/s43465-022-00661-0.

Evaluation of artificial intelligence models for osteoarthritis of the knee using deep learning algorithms for orthopedic radiographs.

BACKGROUND: Deep learning, a form of artificial intelligence, has shown promising results for interpreting radiographs. In order to develop this niche machine learning (ML) program of interpreting orthopedic radiographs with accuracy, a project named deep learning algorithm for orthopedic radiographs was conceived. In the first phase, the diagnosis of knee osteoarthritis (KOA) as per the standard Kellgren-Lawrence (KL) scale in medical images was conducted using the deep learning algorithm for orthopedic radiographs. AIM: To compare efficacy and accuracy of eight different transfer learning deep learning models for detecting the grade of KOA from a radiograph and identify the most appropriate ML-based model for the detecting grade of KOA. METHODS: The study was performed on 2068 radiograph exams conducted at the Department of Orthopedic Surgery, Sir HN Reliance Hospital and Research Centre (Mumbai, India) during 2019-2021. Three orthopedic surgeons reviewed these independently, graded them for the severity of KOA as per the KL scale and settled disagreement through a consensus session. Eight models, namely ResNet50, VGG-16, InceptionV3, MobilnetV2, EfficientnetB7, DenseNet201, Xception and NasNetMobile, were used to evaluate the efficacy of ML in accurately classifying radiographs for KOA as per the KL scale. Out of the 2068 images, 70% were used initially to train the model, 10% were used subsequently to test the model, and 20% were used finally to determine the accuracy of and validate each model. The idea behind transfer learning for KOA grade image classification is that if the existing models are already trained on a large and general dataset, these models will effectively serve as generic models to fulfill the study's objectives. Finally, in order to benchmark the efficacy, the results of the models were also compared to a first-year orthopedic trainee who independently classified these models according to the KL scale. RESULTS: Our network yielded an overall high accuracy for detecting KOA, ranging from 54% to 93%. The most successful of these was the DenseNet model, with accuracy up to 93%; interestingly, it even outperformed the human first-year trainee who had an accuracy of 74%. CONCLUSION: The study paves the way for extrapolating the learning using ML to develop an automated KOA classification tool and enable healthcare professionals with better decision-making.

Application of deep learning algorithm in automated identification of knee arthroplasty implants from plain radiographs using transfer learning models: Are algorithms better than humans?

Aim: In preoperative planning of a revision knee arthroplasty, it can be challenging to identify an implant manufacturer type from a primary knee arthroplasty due to the inability to identify the implants in time. It has been shown that deep learning improves diagnosis with each iteration in the medical field. The problem of identifying the manufacturer and model of knee arthroplasty prostheses has been solved using automated deep learning models. In our study, we have developed deep learning algorithm to identify knee arthroplasty, implant manufacturer type. The current study also aimed to determine the best of the seven machine learning-based model for detecting knee implants according to different manufacturing types from plain radiographs based on their efficacy and accuracy. Material and methods: Plain radiographs of 521 knee arthroplasty implants of six different manufacturers were taken from the anteroposterior and lateral perspectives to train, validate, and test the implants. Among 521 radiographs images, 70% were used in the initial training process, 10% in testing the models, and 20% in determining the accuracy and validity of the models. The study explored the transfer learning technique to develop models. The advantage of transfer learning for knee implant detection is that if existing models are already trained on a large enough and general dataset, these models can be used to fulfil the study's objectives. In addition, to establish the efficacy of these knee implants, two orthopaedic consultants specialised in arthroplasty independently identified these manufacturers types. Results: The performance and network of the model resulted in high accuracy for identifying knee implant types out of seven models, five of which had more than 90% accuracy. After 20 training epochs on all seven models, based on the validation dataset, VGG-16 produces the best results with an accuracy of 95.5% and a precision of 98.4%. However, the study asserted that machine learning outperformed two human expert, who achieved an average accuracy of 78%. Conclusion: This study may lead to the development of an automated implant identification tool that could improve the accuracy and speed of decision made by healthcare professionals.

Surgeon administered direct adductor canal block is as good as ultrasound guided adductor canal block in pain management in knee replacements- A retrospective case-control study.

Aim: The aim of this study is to assess the feasibility of the DACB in a clinical setting and compare the efficacy of postoperative pain relief after TKR in the patients administered DACB versus USG guided ACB. Also to see efficacy and safety of USACB in patients operated with medial parapatellar and subvastus approach. Material and methods: 250 consecutive patients operated with TKR between Jan 2019 to March 2022 were included. Group A included patients operated with medial parapatellar approach and received USACB, Group B included patients operated with medial parapatellar approach and received DACB while Group C included patients operated with subvastus approach and received USACB. VAS scores between three groups were compared at 12 and 24 h. All three groups of patients were otherwise treated identically in the hospital. Results: The mean age and BMI was not statistically significant between the three groups. The mean VAS pain score at rest at 12 h was 3.06 ± 1.49 (Group A) vs 1.58 ± 1.19 (Group B) [p < 0.0001] and 3.06 ± 1.49 (Group A) vs 1.88 ± 1.18 (Group C) [p < 0.0001]; and at 24 h was 1.88 ± 1.31 (Group A) vs 2.39 ± 1.27 (Group B) [p = 0.023] and 1.88 ± 1.31 (Group A) vs 2.19 ± 1.29 (Group C) [p = 0.16]. The mean theatre time was 151.9 ± 11.37 min (Group A) vs 141.02 ± 19.46 min (Group B) (p = 0.0003) and 151.9 ± 11.37 min (Group A) vs 150.4 ± 28.74 min (Group C) (p = 0.72). Hospital stay was 3.82 ± 0.80 (Group A) vs 4.0 ± 1.09 (Group B) [p = 0.30] and 3.82 ± 0.80 (Group A) vs 2.7 ± 0.69 (Group C) [p < 0.0001]. Group B and Group C had one complication each. Conclusion: USG ACB irrespective of approach used remains the gold standard in providing consistent pain relief and thereby facilitating early discharge. However, increased operating room turnover time and repeated top-ups remain a disadvantage. Both the quantum of pain relief and the potential downsides remained the same irrespective of the surgical approach used and whether or not steroid was added to the cocktail used for infiltration. On the other hand, DACB provides a short lasting (24 h) adequate pain relief after TKR with similar low complication rates. The technique of DACB may have a potential for a wider use especially in centres where outpatient arthroplasties are performed, if newer longer acting anaesthetic/analgesic combinations are devised.

Augmented Intelligence in Joint Replacement Surgery: How can artificial intelligence (AI) bridge the gap between the man and the machine?

Robot-assisted arthroplasty is likely to grow exponentially in the years to come. While most surgeons recognize their superiority in refining alignment and improving component positioning accuracy, the universal adaptability of robots remains slow due to certain technological and behavioural gaps. Endoprosthesis robots currently suffer from increased reaction time, lack of natural adaptation to the surgeon's abilities, and unavailability and inapplicability in different surgical contexts. As humans and machines have to move forward into the next phase of their relationship, robots enabled with artificial intelligence (AI) may become more advanced and an alternative to overcome existing challenges like cost, training, and improve performance based on feedback provided by surgeons. Augmented intelligence is perhaps a more apt word than artificial, as it reflects more human-machine fusion and several areas are already proactively adopting the terminology. Arthroplasty robots can benefit from AI by using computer vision models, applying sensors, and integrating feedback and loop execution. All of this would help achieve a technical superiority to the surgeon alone. This brief perspective on how humans and machines are likely to benefit from the integration of AI outlines the technical side of this enablement.

Can We Innovatively Modify the Surgical Helmets to Protect Against the Droplets and Aerosols of COVID-19?

We tested the filtration efficiency of Stryker T5 surgical helmets with and without the addition of a filter medium. Two particle counters were used to count the particles of sizes .5 µm, 1 µm, and 5 µm, both inside and outside the Stryker T5 helmet, concurrently. The total inward leakage (TIL) for the helmet with and without the filter was zero for 5 µm particles at all time points. The TIL (3.4) for the .5 µm particles decreased significantly after application of the filter (1.7; P = .007). We recommend that an N95 should be used inside the helmet system.

Arthroscopic retrieval of a neglected glass shard from the knee Joint - A Case Report and Review of Literature.

Introduction: Knee joint is not an uncommon site for penetrating injuries and a spacious articulation to accommodate foreign body. Extensive literature is available on removal of loose bodies and metallic foreign bodies from the knee joint with sparse documentation of unusual intruders. Case Presentation: We report an atypical case of neglected glass fragment retrieved from the knee joint of 26-year-old male by arthroscopy, who presented to us 14 months after the index injury, in view of sudden onset excruciating pain following bike ride. Conclusion: Arthroscopy is the preferred minimally invasive modality for removal of foreign bodies from the knee joint, particularly from deeper and remote areas of knee joint. Appropriate pre-operative radiological imaging aids in better understanding of the anatomical location, improves surgical orientation, and shortens the duration of surgery. A high degree of suspicion and a meticulous history taking is important to reach the appropriate diagnosis.

Varus Knee Deformity Classification Based on Degree and Extra- or Intra-Articular Location of Coronal Deformity and Osteoarthritis Grade.

BACKGROUND: Medial coronal plane malalignment, also known as varus alignment, is commonly reported in osteoarthritic knees. Although the degree of deformity provides some insight regarding the severity of the disease, it does not always reflect the potential complexity of the surgical treatment. METHODS: This prospective observational study was conducted by analyzing the radiographs of 100 consecutive knees in patients undergoing total knee arthroplasty. For each knee, coronal alignment, expressed as the hip-knee-ankle angle, was measured on a full-leg standing radiograph and classified in 3 stages. The primary location of the varus deformity was identified as intra-articular and/or extra-articular. Additionally, knees were evaluated to assess for 10 radiographic features of varus deformity and then classified in 3 grades of osteoarthritis severity. RESULTS: The mean (and standard deviation) preoperative varus deformity was 11° ± 6° of varus (hip-knee-ankle, 169°), as measured on standardized full-leg radiographs. Extra-articular varus deformity was observed in 14% of patients. A higher number of radiographic features of varus severity corresponded with higher degrees of deformity. Varus grade correlated strongly with stage of varus deformity. Twenty-three (100%) of 23 stage-III deformities had grade-C features; however, 13 (48%) of 27 stage-I patients also had grade-C disease. CONCLUSIONS: One of every 7 osteoarthritis patients with varus deformity had an extra-articular deformity, and 1 of 2 of these patients had severe intra-articular disease (grade C) despite limited coronal deformity (stage I). These findings reconfirm the need for individual deformity analysis that accounts for the degree, location, and severity of the varus deformity. This insight may help to formulate an algorithmic treatment approach specific to the epiphyseal knee anatomy of the patient and according to the surgical preferences of the surgeon. CLINICAL RELEVANCE: Knee surgeons tend to consider knees with higher degrees of coronal deformity as more technically difficult, but the present study shows that knees with less deformity can still present with severe grades of osteoarthritis inside the knee, leading to more challenging joint reconstruction.

Comparative Study of Pinless Navigation System versus Conventional Instrumentation in Total Knee Arthroplasty.

BACKGROUD: Optimal placement of the components and achieving a neutral mechanical axis are the main goals of total knee arthroplasty (TKA). Different computerised navigation systems are presently used for these purposes. This aim of this study was to compare the pinless navigation (PNA) TKA performed using iAssist with the conventional instrumented (CIN) TKA in terms of functional and radiological outcomes. METHODS: A total of 100 knees operated for TKA by a single surgeon were studied retrospectively for a period of 2 years. Weight-bearing postoperative radiographs of the knees along with scanograms of the lower limbs were used for measurements of component positioning, mechanical axis alignment, and number of outliers. Oxford knee scoring was used for functional analysis. RESULTS: No statistically significant difference was seen in the mean mechanical axis alignment (hip-knee-ankle angle), coronal alignment (α and ß angles) and sagittal alignment (γ and δ angles) of the femoral and tibial components between the two groups. Though the percentage of outliers for mechanical axis alignment was lower in the PNA-TKA group than in the CIN-TKA group, the difference was not statistically significant (p = 0.73). The number of outliers for the femoral and tibial component positioning in coronal and sagittal planes was not statistically significantly different between the two groups. No statistically significant difference (p = 0.68) was noted between the two groups with respect to the Oxford Knee Score. The mean surgical time was greater in the PNA-TKA group by 11 minutes, which was statistically significantly longer (p = 0.018). Complications were seen in 6.89% of the cases in the CIN-TKA group, while none in the PNA-TKA group. CONCLUSIONS: The accurate mechanical axis alignment and component positioning can be achieved with the conventional instrumentation, so the use of PNA system, which adds to the surgical cost, is questionable. Also, equally good short-term functional outcome can be achieved with the conventional instrumentation. The surgeon must be accustomed with the instrumentation of the PNA system, or it adds to the surgical time.

Roof arc width: The novel calculation method for calculation of patient specific roof arc width in acetabular fractures.

PURPOSE: Roof arc angle (RAA) is determined by measuring angle between a vertical line drawn from center of the acetabulum towards the acetabular dome and a second line drawn from center of acetabulum to the fracture through the acetabulum. Joel and Matta demonstrated that when roof arc angle was less than 45° on Pelvic AP and Judet's views, the fracture line is considered to be passing through the weight-bearing dome and require surgical fixation. The main purpose of the study is to calculate patient-specific angle and width for the better evaluation and management of acetabular fractures. METHODS: Radiographs of normal hips were retrieved from electronic data and parameters were calculated. Two observers calculated the parameters at two different intervals. Pearson correlation formula was used to find a correlation between groups. RESULTS: Fifty radiographs of 28 patients were reviewed. The mean age of patients was 75.58 years ±13.28. The radius of the acetabulum, the radiographic measurement of sector width for 45° angulation at the roof, and the mathematical calculation for roof arc for 45° angle had significant positive correlation for both observers at two different occasions. CONCLUSIONS: The measured roof arc width ranges from a minimum of 16.20 mm-31.50 mm and the calculated arc width for a 45-degree angle varies from a minimum of 15 mm-25.56 mm. These values are higher than the described values of 10 mm equals to 45 degrees. Hence, the values measured in this study should be considered for decision making in the management of acetabular fractures.