Validity of a Smartphone Application (Sagittalmeter Pro) for the Measurement of Sagittal Balance Parameters

Lee, Jong Beom; Kim, Il Sup; Lee, Jung Jae; Park, Jong-Hyeok; Cho, Chul Bum; Yang, Seung Ho; Sung, Jae Hoon; Hong, Jae Taek

doi:10.1016/j.wneu.2018.11.242

Cited by 11 publications

(19 citation statements)

References 24 publications

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“…Lee et al 75 introduced a smart phone application (Sagittal Meter Pro) developed by Jean‐Charles Le Heuc, which can help users quickly measure spinopelvic sagittal parameters and prepare for preoperative planning of spinal deformity surgery. In terms of verification, a total of 30 patients participated in the validation study comparing the effectiveness and accuracy of measuring spinopelvic sagittal parameters through the picture archiving and communication system (PACS; INFINIT Healthcare Co. Ltd, Seoul, South Korea) and SagittalMeter Pro.…”

Section: Computer‐assisted Orthopaedic Surgery Planning Systemsmentioning

confidence: 99%

A review of computer‐assisted orthopaedic surgery systems

Wang

Shang

et al. 2020

Robotics Computer Surgery

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Background: Computer-assisted orthopaedic surgery systems have great potential, but no review has focused on computer-assisted surgery systems for the spine, hip, and knee. Methods: A systematic search was performed in Web of Science and PubMed. We searched the literature on computer-assisted orthopaedic surgery systems from 2008 to the present and focused on three aspects of systems: training, planning, and intraoperative navigation. Results and discussion: In this review study, we reviewed 34 surgical training systems, 31 surgical planning systems, and 41 surgical navigation systems. The functions and characteristics of the surgical systems were compared and analysed, and the current concerns about and the impact of the surgical systems on doctors and surgery were clarified. Conclusion: Computer-assisted orthopaedic surgery systems are still in the development stage. Future surgical training systems should include synthetic models with patient anatomy. Surgical planning systems with automatic planning should be developed, and surgical navigation systems with multimodal fusion, robotic assistance and imaging should be developed.

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Section: Computer‐assisted Orthopaedic Surgery Planning Systemsmentioning

confidence: 99%

A review of computer‐assisted orthopaedic surgery systems

Wang

Shang

et al. 2020

Robotics Computer Surgery

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“…[66] Scoliosis [67] Rib Hump Angle/Scoliosis [68] Kyphotic Angles [69] Cobb Angle/Thoracic Scoliosis [70] Cobb Angle/Thoracic Scoliosis [71] Lumbar Lordosis [72] Rib Hump Angle/Scoliosis Evaluation [73] Cobb Angle of Thoracolumbar Scoliosis [74] Cobb Angle [75] Cobb Angle [76] Cobb Angle [77] Head, Ribcage, Shoulder, Hip and Knee Tilt [65] Inclination of the Human Spinal Points [78] SS and Lumbar Curve [79] PI, PT and LL [80] Sagittal Curvaures [81] Thoracic Spine Rotation [82] LL, PI, and PT [83] Head, Ribcage, Shoulder, Hip Tilt [84] Head, Ribcage, Shoulder, Hip Inclination [85] Scoliosis Angle [86] Head, Shoulder and Ribcage Tilt [87] Head, Ribcage, Shoulder, Hip and Knee Tilt [88] LL, PI, SS and PT [89] LL, PT, and SS [90] Rib Hump/Scoliosis Evaluation Note: LL = Lumbar Lordosis; PI = Pelvic Incidence; SS = Sacral Slope; PT = Pelvic Tilt.…”

Section: Study Measures Takenmentioning

confidence: 99%

“…PostureScreen was able to detect postural measurements, but its use showed significant bias in postural measurements of the frontal and sagittal planes. [88] Mean, SD and ICC for comparing PACS and SagittalMeter Pro for measuring spinopelvic sagittal parameters.…”

Section: Measures Of Spinal Curvatures With Both Instrumentsmentioning

confidence: 99%

“…Regarding the performance of the mobile applications, it is not possible to state that these solutions improve the performance of human postural assessment, but they proved to be valid for detecting angular changes in the body segments and they have similar performance to manual methods. However, regarding the time required to perform the assessment, some smartphone applications were significantly faster [66,69,70,74,76,82,88,89] when compared to traditional methods. For example, Smartphone Protractor [82] was significantly faster on average of 107 seconds, when compared with Standard Protractor.…”

Section: Measures Of Spinal Curvatures With Both Instrumentsmentioning

confidence: 99%

“…Such automation would make the evaluation process less susceptible to bias and human errors. It would also reduce the time spent for defining anatomical points in pictures compared to doing this activity manually as it occurs in software solutions such as PAS [52] and DIPA [53], in which manual identification of anatomical reference points is performed with the use of reflexive markers, providing agility during the evaluation process [66,69,70,74,76,82,88,89]. This automation would reduce the need to perform palpation frequently and hence, reduce the chance of the patient complaining of discomfort related to the manual touch performed repeatedly.…”

Section: Open Issues and Implications For Further Investigationmentioning

confidence: 99%

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Mobile Applications for Assessing Human Posture: A Systematic Literature Review

et al. 2020

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Smartphones are increasingly incorporated with features such as sensors and high resolution cameras that empower their capabilities, enabling their use for varied activities including human posture assessments. Previous reviews have discussed methods used in postural assessment but none of them focused exclusively on mobile applications. This paper systematically reviews mobile applications proposed for analyzing human posture based on alignment of the body in the sagittal and coronal plane. The main digital libraries were searched, 26 articles published between 2010 and 2020 were selected, and 13 mobile applications were identified, classified and discussed. Results showed that the use of mobile applications to assist with posture assessment have been demonstrated to be reliable, and this can contribute to clinical practice of health professionals, especially the assessment and reassessment phases of treatments, despite some variations when compared to traditional methods. Moreover, in the case of image-based applications, we highlight the advantage that measurements can be taken with the assessor at a certain distance with respect to the patient’s position, which is an important function for assessments performed in pandemic times such as the outbreak of COVID-19.

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eHealth tools to assess the neurological function for research, in absence of the neurologist – a systematic review, part I (software)

Ferreira,

Metting,

Schauble

et al. 2023

J Neurol

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Background Neurological disorders remain a worldwide concern due to their increasing prevalence and mortality, combined with the lack of available treatment, in most cases. Exploring protective and risk factors associated with the development of neurological disorders will allow for improving prevention strategies. However, ascertaining neurological outcomes in population-based studies can be both complex and costly. The application of eHealth tools in research may contribute to lowering the costs and increase accessibility. The aim of this systematic review is to map existing eHealth tools assessing neurological signs and/or symptoms for epidemiological research. Methods Four search engines (PubMed, Web of Science, Scopus & EBSCOHost) were used to retrieve articles on the development, validation, or implementation of eHealth tools to assess neurological signs and/or symptoms. The clinical and technical properties of the software tools were summarised. Due to high numbers, only software tools are presented here. Findings A total of 42 tools were retrieved. These captured signs and/or symptoms belonging to four neurological domains: cognitive function, motor function, cranial nerves, and gait and coordination. An additional fifth category of composite tools was added. Most of the tools were available in English and were developed for smartphone device, with the remaining tools being available as web-based platforms. Less than half of the captured tools were fully validated, and only approximately half were still active at the time of data collection. Interpretation The identified tools often presented limitations either due to language barriers or lack of proper validation. Maintenance and durability of most tools were low. The present mapping exercise offers a detailed guide for epidemiologists to identify the most appropriate eHealth tool for their research. Funding The current study was funded by a PhD position at the University of Groningen. No additional funding was acquired.

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Validity of a Smartphone Application (Sagittalmeter Pro) for the Measurement of Sagittal Balance Parameters

Cited by 11 publications

References 24 publications

A review of computer‐assisted orthopaedic surgery systems

A review of computer‐assisted orthopaedic surgery systems

Mobile Applications for Assessing Human Posture: A Systematic Literature Review

eHealth tools to assess the neurological function for research, in absence of the neurologist – a systematic review, part I (software)

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