Robotic-Assisted Total Knee Arthroplasty: An Assessment of Content, Quality, and Readability of Available Internet Resources

Griffiths, Sean Z.; Albana, Mohamed F.; Bianco, Lauryn D.; Pontes, Manuel; Wu, Eddie

doi:10.1016/j.arth.2020.09.033

Cited by 10 publications

(6 citation statements)

References 42 publications

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“…The DISCERN tool, for example, is commonly used but was developed for evaluating consumer health information regarding treatment choices 44 . The mean QUEST score of 14.10 recorded in the present survey compared with mean scores of 10.6–18.3 related to the quality of Internet robotic‐assisted total knee arthroplasty content, online Alzheimer's disease information and human papillomavirus and oropharyngeal cancer 14,43,45 . It also compared with the mean score of 15.29 recorded in a similar survey investigating the quality of online information related to medication‐related osteonecrosis of the jaws (MRONJ) 42 .…”

Section: Discussionmentioning

confidence: 89%

“…44 The mean QUEST score of 14.10 recorded in the present survey compared with mean scores of 10.6-18.3 related to the quality of Internet robotic-assisted total knee arthroplasty content, online Alzheimer's disease information and human papillomavirus and oropharyngeal cancer. 14,43,45 It also compared with the mean score of 15.29 recorded in a similar survey investigating the quality of online information related to medication-related osteonecrosis of the jaws (MRONJ). 42 The information regarding author name and qualifications was notably deficient in the websites assessed in the present survey.…”

Section: Discussionmentioning

confidence: 99%

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Alveolar osteitis: A qualitative and readability assessment of patient information on the Internet

Meade

Dreyer

2022

Oral Surgery

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Background Data regarding the quality of online information regarding alveolar osteitis (AO) are lacking. Objective To assess the quality of online information regarding AO. Materials and Methods Two search terms (“alveolar osteitis” and “dry socket”) were entered separately into three search engines. A qualitative assessment of the websites that satisfied inclusion/exclusion criteria was carried out using the QUality Evaluation Scoring Tool (QUEST), the Journal of the American Medical Association (JAMA) benchmarks, and via the presence of the Health on the Net (HON)code seal. Website readability was evaluated using the Simple Measure of Gobbledygook (SMOG) and Flesch Reading Ease Score tools. Statistical analyses were performed by GraphPad Software® (GraphPad Software Inc., La Jolla, CA, U.S.). Results Most of the 31 assessed websites were from the United States (41.93%). The mean QUEST score was 14.10 out of a maximum 28 (SD = 4.63; 95% CI: 11.80–16.39). Eight (25.8%) websites scored three or all four JAMA benchmarks and four (12.9%) scored zero. Five (16.12%) displayed the HONcode seal. Higher QUEST scores were recorded for websites that satisfied at least three out of JAMA criteria (p < 0.01; 95% CI: −13.13 to −5.215) and for websites that contained the HONcode seal (p < 0.01; 95% CI: −15.000 to −5.00) compared to those that did not. The mean SMOG readability score was 8.95 (SD: 8.68; 95% CI: 8.46–9.43). Conclusions The online information regarding AO varies considerably. The readability scores exceed the recommended levels for written health information. The dental profession should consider the development of online resources that address the highlighted shortcomings.

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Section: Discussionmentioning

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Alveolar osteitis: A qualitative and readability assessment of patient information on the Internet

Meade

Dreyer

2022

Oral Surgery

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“…An increasing number of studies demonstrated that robotic-assisted TKA system can improve surgical outcomes. [22][23][24][25] For example, Sires et al 26 -5 of 11 TKA system in obtaining preoperatively planned coronal alignment of final limb and bone resection. Vaidya et al 27 also demonstrated that robotic-assisted TKA system acquired a better joint line restoration and prosthesis alignment as compared to the conventional TKA.…”

Section: Discussionmentioning

confidence: 99%

Deep learning approach for guiding three‐dimensional computed tomography reconstruction of lower limbs for robotically‐assisted total knee arthroplasty

Zhang

Ding

et al. 2021

Robotics Computer Surgery

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Background: Robotic-assisted total knee arthroplasty (TKA) was performed to promote the accuracy of bone resection and mechanical alignment. Among these TKA system procedures, 3D reconstruction of CT data of lower limbs consumes significant manpower. Artificial intelligence (AI) algorithms applying deep learning has been proved efficient in automated identification and visual processing.Methods: CT data of a total of 200 lower limbs scanning were used for AI-based 3D model construction and CT data of 20 lower limbs scanning were utilised for verification. Results:We showed that the performance of an AI-guided 3D reconstruction of CT data of lower limbs for robotic-assisted TKA was similar to that of the operatorbased approach. The time of 3D lower limb model construction using AI was 4.7 min. AI-based 3D models can be used for surgical planning. Conclusion:AI was used for the first time to guide the 3D reconstruction of CT data of lower limbs for facilitating robotic-assisted TKA. Incorporation of AI in 3D model reconstruction before TKA might reduce the workload of radiologists. K E Y W O R D Sartificial intelligence, HURWA robotic-assisted TKA system, robotically TKA assisted system, 3D CT model | INTRODUCTIONTotal knee arthroplasty (TKA) is an effective procedure for cases with end-stage rheumatoid arthritis or osteoarthritis of the knee. 1 The surgery was carried out in over 370,000 and 700,000 patients annually in China and USA, respectively. 2 Despite the development in implant materials and design, thromboembolic prophylaxis, rehabilitation, computer navigation and patient-specific implants, and the use of prophylactic antibiotics, over 20% of patients reported unsatisfaction following TKA. [3][4][5][6] Robotically assisted TKA was thus developed to promote mechanical alignment, accuracy of bone resection, soft tissue protection, and implant survivorship and implant stability. [7][8][9][10] In this connection, our previous studies showed that a novel HURWA robotic-assisted TKA system (BEIJING HURWA-ROBOT Technology Co. Ltd) could enhance the accuracy of bone resection in terms of resection angles and levels in the sawbone and the sheep models. 11,12 The procedures of robotic-assisted TKA system consists of the following steps: preoperative computed tomography (CT) scanning of lower limbs, three-dimensional (3D) reconstruction of CT data of lower limbs, CT-based planning, surgical planning depending on the 3D CT model, and the act of performing robotic-assisted TKA. Among

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“…The first robotic system in orthopedic surgery is Robodoc, which has been used for TKA and total hip arthroplasty since 1992 20 . However, the application of this robotic system was limited because of increased operative time, insufficient versatility and technical complexity 21–23 . The objective of the robotic‐assisted TKA system is to provide a tool for surgeons to accurately resect bone and accurately select and balance implant and soft tissue placement 24–26 .…”

Section: Introductionmentioning

confidence: 99%

“…20 However, the application of this robotic system was limited because of increased operative time, insufficient versatility and technical complexity. [21][22][23] The objective of the robotic-assisted TKA system is to provide a tool for surgeons to accurately resect bone and accurately select and balance implant and soft tissue placement. [24][25][26] To date, multiple robotic-assisted TKA systems, such as Mako (Stryker), Navio PFS (Plymouth) and Robodoc (CurexoTechnology), have been clinically used.…”

Section: Introductionmentioning

confidence: 99%

A new robotically assisted system for total knee arthroplasty: A sheep model study

Chen

Zhang

et al. 2021

Robotics Computer Surgery

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Background We investigated the accuracy and safety of a new HURWA robotic‐assisted total knee arthroplasty (TKA) system in a sheep model. Methods Ten male small‐tailed Han sheep were used in this study. Sheep were imaged by computed tomography scan before and after bone resection and the cutting errors between actual bone preparation and preoperative planning of the femur and tibia in three dimensions were measured. Results The overall accuracies after surgery compared with that from preoperative surgical planning of the left and right femurs were 1.93 ± 1.02° and 1.93 ± 1.23°, respectively. Additionally, similarly high overall accuracies for the left and right tibia of 1.26 ± 1.04 and 1.68 ± 0.92°, respectively, were obtained. The gap distances of the distal cut, anterior chamfer, anterior cut, posterior chamfer and posterior cut on the medial side were 0.47 ± 0.35 mm, 0.41 ± 0.37 mm, 0.12 ± 0.26 mm, 0.41 ± 0.44 mm and 0.12 ± 0.23 mm, respectively. No intraoperative complications, such as intraoperative fracture, massive bleeding or death, occurred. Conclusion This new HURWA robotic‐assisted TKA system is an accurate and safe tool for TKA surgery based on the sheep model.

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Robotic-Assisted Total Knee Arthroplasty: An Assessment of Content, Quality, and Readability of Available Internet Resources

Cited by 10 publications

References 42 publications

Alveolar osteitis: A qualitative and readability assessment of patient information on the Internet

Alveolar osteitis: A qualitative and readability assessment of patient information on the Internet

Deep learning approach for guiding three‐dimensional computed tomography reconstruction of lower limbs for robotically‐assisted total knee arthroplasty

A new robotically assisted system for total knee arthroplasty: A sheep model study

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