In vivo intraoperative hypoglossal nerve stimulation for quantitative tongue motion analysis

Alphen, M.J.A. van; Eskes, Merijn; Smeele, Ludi E.; Balm, A.J.M.; Heijden, Ferdinand van der

doi:10.1080/21681163.2015.1072056

Cited by 5 publications

(4 citation statements)

References 18 publications

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“…The 3D camera setup has previously been used in our research group and therefore available to assess 3D location on tongue movements [17]. However, a similar setup could also be made of two regular consumer cameras with a lower frame rate, or even just by capturing pictures.…”

Section: Discussionmentioning

confidence: 99%

A New Accurate 3D Measurement Tool to Assess the Range of Motion of the Tongue in Oral Cancer Patients: A Standardized Model

et al. 2015

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In oral cancer treatment, function loss such as speech and swallowing deterioration can be severe, mostly due to reduced lingual mobility. Until now, there is no standardized measurement tool for tongue mobility and pre-operative prediction of function loss is based on expert opinion instead of evidence based insight. The purpose of this study was to assess the reliability of a triple-camera setup for the measurement of tongue range of motion (ROM) in healthy adults and its feasibility in patients with partial glossectomy. A triple-camera setup was used, and 3D coordinates of the tongue in five standardized tongue positions were achieved in 15 healthy volunteers. Maximum distances between the tip of the tongue and the maxillary midline were calculated. Each participant was recorded twice, and each movie was analysed three times by two separate raters. Intrarater, interrater and test-retest reliability were the main outcome measures. Secondly, feasibility of the method was tested in ten patients treated for oral tongue carcinoma. Intrarater, interrater and test-retest reliability all showed high correlation coefficients of >0.9 in both study groups. All healthy subjects showed perfect symmetrical tongue ROM. In patients, significant differences in lateral tongue movements were found, due to restricted tongue mobility after surgery. This triple-camera setup is a reliable measurement tool to assess three-dimensional information of tongue ROM. It constitutes an accurate tool for objective grading of reduced tongue mobility after partial glossectomy.

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Section: Discussionmentioning

confidence: 99%

A New Accurate 3D Measurement Tool to Assess the Range of Motion of the Tongue in Oral Cancer Patients: A Standardized Model

et al. 2015

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“…However, previous research from our group shows that a specific global branching topology is not limited to characteristic muscle activity. Even within one patient, both sides of the tongue can have different distal branching topologies resulting in different muscle activations on a micro level [ 28 ]. The variety in distal branching patterns might be the reason that there are so many differences between the tongue abilities of people.…”

Section: Literature Comparisonmentioning

confidence: 99%

Five Specific Tongue Movements in a Healthy Population

et al. 2020

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The importance of tongue mobility on speech, oral food transport, and swallowing is well recognized. However, whether the individual tongue mobility influences postoperative function in oral cancer treatment remains to be elucidated. This study assesses the ability to perform five tongue movements as rolling, twisting (two sides), folding, and the ‘cloverleaf’ in a healthy population. Because a tumor in oral cancer patients often restricts the mobility of the tongue, it might be helpful to know if it is possible to recall any of those movements without demonstrating it. Two observers asked 387 Dutch healthy adults if they could perform one of the five specific tongue movements and were subsequently asked to demonstrate the five movements. The distribution in the Dutch population is: rolling: 83.7%, cloverleaf: 14.7%, folding: 27.5%, twisting left: 36.1% and twisting right: 35.6%. The percentage of people that can fold their tongue is almost ten times higher (3% versus 27.5%) than in previous research, and it was found that the ability to roll the tongue is not a prerequisite for folding of the tongue. A relationship between gender or right-handedness and the ability to perform certain tongue movements could not be found. Of the participants, 9.9% and 13.1% incorrectly assumed that they could demonstrate tongue rolling and cloverleaf. Tongue folding and twisting (left or right) were incorrectly assumed in 36.9%, 24.1%, and 25.4% of the cases. Rolling and cloverleaf are preferred for future prediction models because these movements are easy to recall without demonstrating.

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“…To acquire 3D lip movements, we tracked six optical face markers for head orientation and ten optical lip markers at 100 frames per second using a triple camera set-up (avA1000–100gc, Basler AG, Ahrensburg, Germany), which we had developed for assessing tongue mobility and capturing tongue movement after hypoglossal nerve stimulation 8 , 39 (Fig. 1 ).…”

Section: Data Acquisition and Pre-processingmentioning

confidence: 99%

sEMG-assisted inverse modelling of 3D lip movement: a feasibility study towards person-specific modelling

Eskes

Balm

Alphen

et al. 2017

Sci Rep

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We propose a surface-electromyographic (sEMG) assisted inverse-modelling (IM) approach for a biomechanical model of the face to obtain realistic person-specific muscle activations (MA) by tracking movements as well as innervation trajectories. We obtained sEMG data of facial muscles and 3D positions of lip markers in six volunteers and, using a generic finite element (FE) face model in ArtiSynth, performed inverse static optimisation with and without sEMG tracking on both simulation data and experimental data. IM with simulated data and experimental data without sEMG data showed good correlations of tracked positions (0.93 and 0.67) and poor correlations of MA (0.27 and 0.20). When utilising the sEMG-assisted IM approach, MA correlations increased drastically (0.83 and 0.59) without sacrificing performance in position correlations (0.92 and 0.70). RMS errors show similar trends with an error of 0.15 in MA and of 1.10 mm in position. Therefore, we conclude that we were able to demonstrate the feasibility of an sEMG-assisted inverse modelling algorithm for the perioral region. This approach may help to solve the ambiguity problem in inverse modelling and may be useful, for instance, in future applications for preoperatively predicting treatment-related function loss.

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In vivo intraoperative hypoglossal nerve stimulation for quantitative tongue motion analysis

Cited by 5 publications

References 18 publications

A New Accurate 3D Measurement Tool to Assess the Range of Motion of the Tongue in Oral Cancer Patients: A Standardized Model

A New Accurate 3D Measurement Tool to Assess the Range of Motion of the Tongue in Oral Cancer Patients: A Standardized Model

Five Specific Tongue Movements in a Healthy Population

sEMG-assisted inverse modelling of 3D lip movement: a feasibility study towards person-specific modelling

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