The role of 3D digital applications in Manual Therapy Education – A scoping review

Background: Currently, teaching methods for developing complex physical assessment and palpation skills in manual therapy is challenging for both learners and educators. 3D digital technologies such as virtual reality (VR), augmented reality (AR) and mixed reality may facilitate and/or address these challenges. However, their current usage and/or role in improving learning outcomes in manual therapy education is still largely unknown. Methods: The following electronic databases were searched from Jan 2005 to April 2021: PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Physiotherapy Evidence Database (PEDro), Science Direct and Google Scholar. Two independent reviewers reviewed the articles retrieved from the databases to assess for eligibility. Studies of any methodology (quantitative, qualitative and mixed methods) that investigated the use or application of the 3D digital applications were included in the review. Primary outcomes included any outcome related to learning based on the updated Blooms taxonomy. Narrative synthesis was used to synthesise data from the included studies.Results: A total of 4 articles were included in the final review. The main findings were classified into the following key concepts: (1) perception of tissue stiffness, (2) improved student self-efficacy in performing MT techniques, and (3) barriers and facilitators for utilizing 3D technologies. All included outcomes met understanding, applying, analysing and evaluating levels of Blooms taxonomy; however, no outcomes met the ‘creating’ level of Bloom’s taxonomy.Discussion: Our review found that there are no AR, VR or mixed applications that specifically serve the needs of MT education in relation to joint motion assessment, but applications are available that can be readily used or potentially adapted to train skills of tissue palpation. . Therefore, future studies are required to investigate the sophisticated requirements to teach/learn complex manual techniques for which palpation skills may be mandatory.

Optimization of Antiosteoporotic Therapy in Patients with Liver Fibrosis

The purpose of the study: to investigate the effect of zolendronic acid on bone mineral density in patients with osteoporosis and fibrotic changes of the liver due to steatohepatitis. Materials and methods. We examined 28 female patients with a mean age of 55.3±4.7 years with decreased bone mineral density, nonalcoholic steatohepatosis and liver fibrosis. All studied patients were in menopause duration of 7.8±3.5 years. For inclusion in the study, all patients were excluded from the presence of comorbidities. The degree of liver fibrosis was determined on the basis of 2D shear wave elastometry by transcutaneous access by the method of shear wave in the SWE mode. The study included patients with liver fibrosis F1 - F3 on METAVIR. Determination of bone mineral density was performed using an X-ray densitometer DEXXUM T by dual energy absorption. Results and discussion. The initial level of liver tissue stiffness in the studied patients was 8.52±1.12 kPa, which corresponded to the stage of fibrosis F2 - F3 according to METAVIR. Isolated decrease in lumbar spine mineral density was diagnosed in 20 patients, 8 patients had a combination of decreased spinal mineral density with decreased femoral mineral density, mean T vertebral T-test was -2.25±0.2, mean femoral neck T-test was -1, 9±0.3. In order to maintain and restore bone mineral density, these patients were advised to minimize the factors that contribute to bone loss, mainly by stopping alcohol and smoking. Patients were advised to exercise as much as possible under the supervision of a rehabilitologist, especially to do exercises aimed at improving the mechanics of the spine. One year after administration of 5 mg zolendronic acid intravenously and daily intake of 1500 mg calcium and 800 IU vitamin D the level of liver tissue stiffness in the studied patients was 7.69±1.14 kPa, which corresponded to the stage of fibrosis F2 - F3 according to METAVIR and not due to a moderate decrease in indicators, there was no statistically significant difference. Isolated decrease in lumbar spine mineral density was diagnosed in 19 patients, in 9 patients there was a combination of decrease in spinal mineral density with decrease in femur mineral density, the average criterion of T vertebrae was 1.1±0.3 (p=0.032), the average criterion of T femoral neck -0.9±0.3 (p=0.029). The study of the level of alaline transaminase, aspartate transaminase, alkaline phosphatase, gamma-glutamyltranspeptidase did not reveal any abnormalities. After administration of zolendronic acid in 7 patients there was an increase in temperature to febrile levels within 2-3 days. None of the patients showed signs of bone fractures of any localization during the observation period. Conclusion. Thus, the administration of zolendronic acid to patients with decreased bone mineral density on the background of fibrous changes in liver tissue due to steatohepatitis is safe and highly effective

Tissue stiffness in BPH patients from magnetic resonance elastography

Background BPH is commonly found in older men which can lead to lower urinary tract symptoms. Magnetic resonance elastography (MRE) is an innovative, noninvasive imaging technique used to evaluate tissue stiffness. There has not been any study, however, that assessed the tissue stiffness in patients with BPH. A prospective descriptive study was performed to demonstrated MRI and MRE techniques of the prostate gland in ten patients with BPH to assess tissue stiffness, features of BPH on MRI and components of BPH in the area of increased stiffness. Results MRI and MRE examinations in all patients were successful without any complications. The mean tissue stiffness of the whole prostate gland was 4.40 ± 0.71 kPa with good reproducibility (ICC 0.82). Stromal components and mixed glandular-stromal components tended to be associated with the areas of increased stiffness on stiffness images, 50.6% for stromal components and 37.9% for mixed glandular-stromal components. Some MRI findings were seen on the patients with high mean stiffness values such as prostatic calcification, type-5 BPH pattern and large prostate volumes. Conclusions Prostate MRE is a useful noninvasive reproducible diagnostic tool for evaluating prostate tissue stiffness by both qualitative and quantitative assessments. The mean prostate tissue stiffness from MRE in patients with BPH in this study was 4.40 ± 0.71 kPa. Some MRI features might be associated with increased tissue stiffness. Trial registration: PID 229. Registered 4 October 2019. http://md.redcap.kku.ac.th

Prostate Cancer Gleason Score From Biopsy to Radical Surgery: Can Ultrasound Shear Wave Elastography and Multiparametric Magnetic Resonance Imaging Narrow the Gap?

ObjectivesTo investigate the impact of ultrasound shear wave elastography (USWE) and multiparametric magnetic resonance imaging (mpMRI) in predicting a change in biopsy-assigned Gleason Score (GS) after radical surgery for localised prostate cancer (PCa).MethodA total of 212 men opting for laparoscopic radical prostatectomy (LRP) between September 2013 and June 2017 were recruited into this study. All the participants had 12-core transrectal ultrasound (TRUS) biopsies and imaging using USWE and mpMRI before radical surgery. The predictive accuracy for imaging modalities was assessed in relation to upgrading and downgrading of PCa GS between the biopsies and radical prostatectomy using Student’s t-test and multivariable logistic regression analyses. A decision analysis curve was constructed assessing the impact of nomogram on clinical situations using different thresholds of upgrading probabilities.ResultsMost GS 6 diseases on biopsies were upgraded on radical surgery (37/42, 88.1%). Major downgrading was seen in GS 8 category of disease (14/35; 37.1%), whereas no alteration was observed in GS 7 on biopsies in most men (55/75; 73.3%). In univariate analysis, higher preoperative prostate-specific antigen (PSA) (p = 0.001), higher prostate-specific antigen density (PSAD) (p = 0.002), stiffer USWE lesions (p = 0.009), and higher prostate imaging–reporting and data system (PIRADS) (p = 0.002) on mpMRI were significant predictors of upgrading. In multivariate logistic regression analyses, only PSA (p = 0.016) and USWE-measured tissue stiffness (p = 0.029) showed statistical significance in predicting upgrading.ConclusionsMeasurement of tissue stiffness using USWE in clinically localised PCa can predict upgrading of GS and has the potential to improve patient management options.

42 The role of tissue stiffness in predicting the immunotherapy response in hepatocellular carcinoma

BackgroundCurrently, there is no standard biomarker that predict immunotherapy response in hepatocellular carcinoma (HCC). Here, we aim to investigate the role of tissue stiffness measured by magnetic resonance elastography (MRE) in predicting neoadjuvant immunotherapy response in patients with resectable HCC.MethodsThis was a study of 15 patients with HCC treated with immune checkpoint blockade (ICB) therapy, nivolumab ± ipilimumab, followed by surgical resection. HCC MRE assessment was performed at baseline and after 6 weeks of therapy. HCC stiffness (kPa) was measured on MRE elastograms (liver stiffness maps). Baseline stiffness and changes in stiffness were compared with treatment response to ICB. Treatment response was defined as a tumor with more than 60% necrosis which was the major pathological response. Analysis was performed using descriptive statistics, Fisher’s exact test, and Wilcoxon rank sum test; p-value <0.05 was considered statistically significant.ResultsFifteen patients were evaluable for MRE assessment. The median age was 67 years. Etiology of liver disease was NASH (n=4), HCV (n=3), HBV (n=2) and unknown (n=6). Three out of 15 patients (20%) achieved a major pathological response (MPR). Median baseline HCC stiffness and change in stiffness were 4.6 kPa and –0.2 kPa, respectively. Among the 4 patients with stiffness increase, 3 (75%) of them achieved MPR and 1 (25%) did not achieve MPR. Among the patients without stiffness increase, none of them achieved MPR. Fisher’s exact test indicates that increase in stiffness was associated with a higher chance to achieve MPR than patients without stiffness increase (p=0.0088). Median baseline HCC stiffness for responders and non-responders was 6.8 (5.4, 9) kPa and 3.9 (2.2, 9.7) kPa, respectively (p=0.09). The median change in HCC stiffness for responders and non-responders was 1 (1, 1.4) kPa and -0.4 (-2.2, 0.7) kPa, respectively (p=0.02).ConclusionsPatients who achieved MPR inclined to have a higher baseline stiffness than patients who did not achieve MPR. Regarding the changes in stiffness between the two arms, patients with MPR group had a greater increase than that in the non-MPR group. In conclusion, baseline and change in MRE stiffness may be a useful biomarkers in predicting response to ICB therapy in HCC.Ethics ApprovalThis was an Institutional Review Board approved study (MDACC 2017–0972). All patients provided written informed consent.

Influence of Examiners’ Experience and Region of Interest Location on Semiquantitative Elastography Validity and Reliability

Semi-quantitative elastography is a promising imaging technique to evaluate tissue stiffness differences, providing data regarding relative stiffness differences between two targets. The aims of this study were to assess the validity, inter-examiner reliability and variability of semi-quantitative elastography for calculating strain ratios (SR) in a homogeneous gel phantom in different locations within the image. A diagnostic accuracy study was performed in a homogeneous stiffness phantom. Four examiners participated (two novice and two experienced). Each examiner assessed the SR in two locations. Difference between examiners, variability of measurements, SR error and absolute error, mean error of the measurements and coefficient of variation were calculated. The agreement between examiners, validity and variability of measurements were higher in the central area than the lateral areas of the images. Thus, the experience of the examiner was relevant for the concordance of the measurements in the lateral areas of the images (SR difference of 0.14 ± 0.05; p < 0.001), but not for the central area (SR difference of 0.05 ± 0.02; p > 0.05). Our data suggested that semi-quantitative elastography is an accurate tool for assessing small magnitude stiffness differences within the same image in central areas, but the experience of the examiner is a determinant factor.

Breast Ultrasound Elastography is the Most Mature and Well-documented Method for the Measurement of Tissue Stiffness: A Review

Breast cancer is the most common malignancy and one of the leading causes of death in females worldwide. North America has one of the highest incidence breast cancer rates in the world, making breast cancer awareness a high priority. Only in the USA, 527 women are expected to be diagnosed with breast cancer while 110 women will die of it per day. Central to the importance of breast cancer diagnosis is the fact that almost one-third of the latter group could survive if their cancer is detected and treated early. In a worldwide context, this translates into nearly 400,000 lives that could be saved every year as a result of early detection. As such; developing technique that can help to detect and diagnose breast cancer at early stage can have a great impact on survival and quality of life of breast cancer patients. Conventional breast cancer screening and detection techniques such as clinical breast examination and X- ray mammography are known to have low sensitivity. Breast magnetic resonance imaging (MRI) is more sensitive modality for breast cancer detection, however, MRI is costly and has been shown to have low specificity for breast cancer diagnosis. Dynamic contrast-enhanced MRI has been demonstrated to provide a good sensitivity and specificity for differentiation of benign versus malignant lesions, due to altered angiogenesis mechanisms in tumors. However, in addition to being costly, requires injection of exogenous contrast agents to provide such contrast. An alternate imaging technique for breast cancer detection employs tissue stiffness as contrast mechanism. The technique is founded on the fact that alterations in breast tissue stiffness are frequently associated with pathology. Ultrasound elastography is the most mature and well-documented method for the measurement of tissue stiffness. Elastographybased imaging technique has received substantial attention in recent years for non-invasive assessment of tissue mechanical properties. These techniques take advantage of changed soft tissue elasticity in various pathologies to yield qualitative and quantitative information that can be used for diagnostic purpose. Measurements are acquired in specialized imaging modes that can detect tissue stiffness in response to an applied mechanical force. Ultrasoundbased methods are of particular interest due to its many inherent advantages, such as wide availability including at the bedside and relatively low cost. While ultrasound elastography has shown promising results for non-invasive assessment of breast stiffness is emerging. Faridpur Med. Coll. J. 2021;16(1):42-44

An Implementation of Patient-Specific Biventricular Mechanics Simulations With a Deep Learning and Computational Pipeline

Parameterised patient-specific models of the heart enable quantitative analysis of cardiac function as well as estimation of regional stress and intrinsic tissue stiffness. However, the development of personalised models and subsequent simulations have often required lengthy manual setup, from image labelling through to generating the finite element model and assigning boundary conditions. Recently, rapid patient-specific finite element modelling has been made possible through the use of machine learning techniques. In this paper, utilising multiple neural networks for image labelling and detection of valve landmarks, together with streamlined data integration, a pipeline for generating patient-specific biventricular models is applied to clinically-acquired data from a diverse cohort of individuals, including hypertrophic and dilated cardiomyopathy patients and healthy volunteers. Valve motion from tracked landmarks as well as cavity volumes measured from labelled images are used to drive realistic motion and estimate passive tissue stiffness values. The neural networks are shown to accurately label cardiac regions and features for these diverse morphologies. Furthermore, differences in global intrinsic parameters, such as tissue anisotropy and normalised active tension, between groups illustrate respective underlying changes in tissue composition and/or structure as a result of pathology. This study shows the successful application of a generic pipeline for biventricular modelling, incorporating artificial intelligence solutions, within a diverse cohort.