Stiffness, Compliance, Resilience, and Creep Deformation: Understanding Implant-Soft Tissue Dynamics in the Augmented Breast: Fundamentals Based on Materials Science

Vegas, Manuel R.; Yerro, Jose L. Martín del

doi:10.1007/s00266-013-0197-y

Cited by 65 publications

(44 citation statements)

References 26 publications

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“…The contact area increases on average 0.07 dm 2 (0.6%), and the force and pressure decrease substantially during the clamping phase, respectively 1.6 daN (9.3%) and 1.7 kPa (9.1%). This particular effect is known as creep motion, which is characteristic for viscoelastic soft tissues under compression [ 28 , 29 ]. From Figures 2 and 3 it can be observed that the decrease in force and pressure is steepest (quickest) directly after having reached the maximum force, and then gradually becomes less steep (slower).…”

Section: Resultsmentioning

confidence: 99%

Pain-preventing strategies in mammography: an observational study of simultaneously recorded pain and breast mechanics throughout the entire breast compression cycle

et al. 2015

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BackgroundMany women consider mammography painful. Existing studies on pain-preventing strategies only mention pain scores reported before and after breast compression. Studying the pain dynamics during the entire compression cycle may provide new insights for effective pain-preventing strategies.MethodsThis observational study included 117 women who consented to use a custom turning knob to indicate their pain experience during standard mammographic breast compressions in the Academic Medical Center in Amsterdam, The Netherlands. The breast thickness, compression force, contact area, contact pressure and pain experience were recorded continuously. Breast volume was calculated retrospectively from the mammograms. We visualized the progression of pain in relation to breast mechanics for five groups of breast volumes and we performed multivariable regressions to identify factors that significantly predict pain experience.ResultsBreast compressions consisted of a deformation phase for flattening, and a clamping phase for immobilization. The clamping phase lasted 12.8 ± 3.6 seconds (average ± standard deviation), 1.7 times longer than the 7.5 ± 2.6 seconds deformation phase. During the clamping phase, the average pain score increased from 4.75 to 5.88 (+24%) on a 0 – 10 Numerical Rating Scale (NRS), and the proportion of women who reached severe pain (NRS ≥ 7) increased from 23% to 50% (more than doubled). Moderate pain (NRS ≥ 4) was reported up to four days after the mammogram. Multivariable analysis showed that pain recollection of the previous mammogram and breast pain before the compression, are significant predictors for pain. Women with smallest breasts experienced most pain: They received highest contact pressures (force divided by contact area) and the pressure increased at the highest rate.ConclusionWe suggest further research on two pain-preventing strategies: 1) using a personalized compression protocol by applying to all breasts the same target pressure at the same, slow rate, and 2) shortening the phase during which the breast is clamped.

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Section: Resultsmentioning

confidence: 99%

Pain-preventing strategies in mammography: an observational study of simultaneously recorded pain and breast mechanics throughout the entire breast compression cycle

et al. 2015

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“…On the other hand, the MSC signals were characterized by creep [54], which causes crosstalk between the active and nonactive (RS) motion recordings, thus attenuating the motion recognition accuracy. is situation is particularly severe in cases where the RS and HO movements of the subjects are being predicted (Figure 8).…”

Section: Discussionmentioning

confidence: 99%

Identification of Upper-Limb Movements Based on Muscle Shape Change Signals for Human-Robot Interaction

Huang

Wang

et al. 2020

Computational and Mathematical Methods in Medicine

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Towards providing efficient human-robot interaction, surface electromyogram (EMG) signals have been widely adopted for the identification of different limb movement intentions. Since the available EMG signal sensors are highly susceptible to external interferences such as electromagnetic artifacts and muscle fatigues, the quality of EMG recordings would be mostly corrupted, which may decay the performance of EMG-based control systems. Given the fact that the muscle shape changes (MSC) would be different when doing various limb movements, the MSC signal would be nonsensitive to electromagnetic artifacts and muscle fatigues and maybe promising for movement intention recognition. In this study, a novel nanogold flexible and stretchable sensor was developed for the acquisition of MSC signals utilized for decoding multiple classes of limb movement intents. More precisely, four sensors were used to measure the MSC signals from the right forearm of each subject when they performed seven classes of movements. Also, six different features were extracted from the measured MSC signals, and a linear discriminant analysis- (LDA-) based classifier was built for movement classification tasks. The experimental results showed that using MSC signals could achieve an average recognition rate of about 96.06 ± 1.84% by properly placing the four flexible and stretchable sensors on the forearm. Additionally, when the MSC sampling rate was greater than 100 Hz and the analysis window length was greater than 20 ms, the movement recognition accuracy would be only slightly increased. These pilot results suggest that the MSC-based method should be feasible in movement identifications for human-robot interaction, and at the same time, they provide a systematic reference for the use of the flexible and stretchable sensors in human-robot interaction systems.

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“…An appreciation of soft-tissue dynamics in the augmented breast also assists in predicting the final outcome and potential complications. 35 The implant type, shape, and profile determine the distribution of fill within the breast. The distances from the sternal notch to the nipple and from the nipple to the inframammary fold (IMF) under stretch can quantify asymmetry and the ptosis grade.…”

Section: Preoperative Preparationmentioning

confidence: 99%

Secondary Augmentation-Mastopexy: Indications, Preferred Practices, and the Treatment of Complications

Spring

Macias

Nadeau

et al. 2014

Aesthetic Surgery Journal

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Increasing the volume of the breast while simultaneously decreasing the skin envelope equates to surgery involving opposing forces. Increasing patient demand and the evolving perceptions of surgeons have led to the growing popularity of the combined augmentation-mastopexy operation. In turn, secondary augmentation-mastopexies and revisional surgeries of primary augmentation-mastopexies also have increased in popularity. In this article, the authors describe indications for secondary augmentation-mastopexy, techniques for performing this combined procedure safely and effectively, adjunctive procedures, potential pitfalls, and the treatment of complications.

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Stiffness, Compliance, Resilience, and Creep Deformation: Understanding Implant-Soft Tissue Dynamics in the Augmented Breast: Fundamentals Based on Materials Science

Cited by 65 publications

References 26 publications

Pain-preventing strategies in mammography: an observational study of simultaneously recorded pain and breast mechanics throughout the entire breast compression cycle

Pain-preventing strategies in mammography: an observational study of simultaneously recorded pain and breast mechanics throughout the entire breast compression cycle

Identification of Upper-Limb Movements Based on Muscle Shape Change Signals for Human-Robot Interaction

Secondary Augmentation-Mastopexy: Indications, Preferred Practices, and the Treatment of Complications

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