4.6 Article

Quantitative diagnostics of soft tissue through viscoelastic characterization using time-based instrumented palpation

Journal

Publisher

ELSEVIER
DOI: 10.1016/j.jmbbm.2014.09.027

Keywords

Tissue mechanics; Tissue diagnostics; Viscoelasticity; Soft tissue; Quantitative diagnostics

Funding

  1. Engineering and Physical Sciences Research Council (EPSRC) [EP/I01947211, EP/I020101/1]
  2. Heriot-Watt University
  3. Engineering and Physical Sciences Research Council [EP/I020101/1, EP/I019472/1] Funding Source: researchfish
  4. EPSRC [EP/I019472/1, EP/I020101/1] Funding Source: UKRI

Ask authors/readers for more resources

Although palpation has been successfully employed for centuries to assess soft tissue quality, it is a subjective test, and is therefore qualitative and depends on the experience of the practitioner. To reproduce what the medical practitioner feels needs more than a simple quasi-static stiffness measurement. This paper assesses the capacity of dynamic mechanical palpation to measure the changes in viscoelastic properties that soft tissue can exhibit under certain pathological conditions. A diagnostic framework is proposed to measure elastic and viscous behaviors simultaneously using a reduced set of viscoelastic parameters, giving a reliable index for quantitative assessment of tissue quality, The approach is illustrated on prostate models reconstructed from prostate MRI scans. The examples show that the change in viscoelastic time constant between healthy and cancerous tissue is a key index for quantitative diagnostics using point probing. The method is not limited to any particular tissue or material and is therefore useful for tissue where defining a unique time constant is not trivial. The proposed framework of quantitative assessment could become a useful tool in clinical diagnostics for soft tissue. (C) 2014 The Authors. Published by Elsevier Ltd.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Urology & Nephrology

Dynamic biomarker and imaging changes from a phase II study of pre- and post-surgical sunitinib

Sarah J. Welsh, Nicola Thompson, Anne Warren, Andrew N. Priest, Tristan Barrett, Stephan Ursprung, Ferdia A. Gallagher, Fulvio Zaccagna, Grant D. Stewart, Kate M. Fife, Athena Matakidou, Andrea J. Machin, Wendi Qian, Victoria Ingleson, Jean Mullin, Antony C. P. Riddick, James N. Armitage, Stephen Connolly, Timothy G. Q. Eisen

Summary: This study aimed to explore translational biological and imaging biomarkers for sunitinib treatment before and after debulking nephrectomy. The results showed that pre-surgical sunitinib significantly increased necrosis of tumors and reduced certain biomarkers, leading to improved overall survival and progression-free survival in patients with metastatic renal cell carcinoma.

BJU INTERNATIONAL (2022)

Article Urology & Nephrology

Validation and public health modelling of risk prediction models for kidney cancer using the UK Biobank

Hannah Harrison, Lisa Pennells, Angela Wood, Sabrina H. Rossi, Grant D. Stewart, Simon J. Griffin, Juliet A. Usher-Smith

Summary: This study validated 30 risk prediction models for kidney cancer in the UK Biobank cohort, with 10 models showing reasonable discrimination. The best models performed better in identifying high-risk individuals compared to age and sex-based screening, but had lower performance in women than in men.

BJU INTERNATIONAL (2022)

Review Urology & Nephrology

Early detection of kidney cancer using urinary proteins: a truly non-invasive strategy

Jordan G. Flitcroft, Jeroen Verheyen, Tarun Vemulkar, Emma N. Welbourne, Sabrina H. Rossi, Sarah J. Welsh, Russell P. Cowburn, Grant D. Stewart

Summary: Several urinary protein biomarkers are being validated for RCC diagnostics, but none have been approved for clinical use yet due to low sensitivity or specificity, inconsistencies in study design, or lack of external validation. Evaluation of feasibility, sample preparation, biomarker validation, and novel technologies may maximize the potential for a truly non-invasive biomarker in early RCC diagnostics.

BJU INTERNATIONAL (2022)

Article Oncology

Advantages of multi-arm non-randomised sequentially allocated cohort designs for Phase II oncology trials

Helen Mossop, Michael J. Grayling, Ferdia A. Gallagher, Sarah J. Welsh, Grant D. Stewart, James M. S. Wason

Summary: Efficient trial designs are crucial for prioritizing promising drugs in Phase II trials. Three trial approaches were compared in a simulation study, with the MASTER design showing extra efficiency in cases of endpoint delay or rapid recruitment. The study recommends the MASTER design as an efficient way to test multiple promising cancer treatments in non-comparative Phase II trials.

BRITISH JOURNAL OF CANCER (2022)

Editorial Material Urology & Nephrology

Predicting cancer outcomes after resection of high-risk RCC

Juliet A. Usher-Smith, Grant D. Stewart

Summary: Prognostic models play a crucial role in the management of post-surgery RCC patients. Existing clinico-pathological models to predict cancer outcomes in these patients seem to have reached their performance limit. Future research should focus on identifying new prognostic markers and determining the implementation of RCC prognostic models in practice.

NATURE REVIEWS UROLOGY (2022)

Review Urology & Nephrology

The current state of genetic risk models for the development of kidney cancer: a review and validation

Hannah Harrison, Nicole Li, Catherine L. Saunders, Sabrina H. Rossi, Joe Dennis, Simon J. Griffin, Grant D. Stewart, Juliet A. Usher-Smith

Summary: This study reviewed the current state of genetic risk models for predicting the development of kidney cancer. By identifying and comparing published models, it was found that the performance of these models is poorer compared to genetic risk models for other cancers. Further research is needed to identify more genetic variants associated with kidney cancer in order to improve the genetic risk models for this disease.

BJU INTERNATIONAL (2022)

Article Health Care Sciences & Services

A community jury study exploring the public acceptability of using risk stratification to determine eligibility for cancer screening

Rebecca A. Dennison, Rachel A. Boscott, Rae Thomas, Simon J. Griffin, Hannah Harrison, Stephen D. John, Sowmiya A. Moorthie, Stephen Morris, Sabrina H. Rossi, Grant D. Stewart, Chloe Thomas, Juliet A. Usher-Smith

Summary: Using risk stratification to determine eligibility for cancer screening is generally acceptable to the public, especially when the risk factors are perceived as fair and the communication is transparent.

HEALTH EXPECTATIONS (2022)

Article Oncology

External Validation of the 2003 Leibovich Prognostic Score in Patients Randomly Assigned to SORCE, an International Phase III Trial of Adjuvant Sorafenib in Renal Cell Cancer

Bhavna Oza, Tim Eisen, Eleni Frangou, Grant D. Stewart, Axel Bex, Alastair W. S. Ritchie, Rick Kaplan, Benjamin Smith, Ian D. Davis, Martin R. Stockler, Laurence Albiges, Bernard Escudier, James Larkin, Steven Joniau, Barry Hancock, Gregers G. Hermann, Joaquim Bellmunt, Mahesh K. B. Parmar, Patrick Royston, Angela Meade

Summary: This study provides a robust external validation of the 2003 Leibovich score using contemporary data, demonstrating its discriminative accuracy and calibration in predicting risk for patients with locally advanced renal cell carcinoma (RCC). The score can be used to guide risk stratification in adjuvant clinical trials for RCC patients.

JOURNAL OF CLINICAL ONCOLOGY (2022)

Article Oncology

A Phase II study of neoadjuvant axitinib for reducing the extent of venous tumour thrombus in clear cell renal cell cancer with venous invasion (NAXIVA)

Grant D. Stewart, Sarah J. Welsh, Stephan Ursprung, Ferdia A. Gallagher, James O. Jones, Jacqui Shields, Christopher G. Smith, Thomas J. Mitchell, Anne Y. Warren, Axel Bex, Ekaterini Boleti, Jade Carruthers, Tim Eisen, Kate Fife, Abdel Hamid, Alexander Laird, Steve Leung, Jahangeer Malik, Iosif A. Mendichovszky, Faiz Mumtaz, Grenville Oades, Andrew N. Priest, Antony C. P. Riddick, Balaji Venugopal, Michelle Welsh, Kathleen Riddle, Lisa E. M. Hopcroft, Robert J. Jones

Summary: The study demonstrates that axitinib can reduce the level of VTT in patients, leading to a reduction in the extent of surgery for a significant proportion of patients. However, some patients show poor response to axitinib.

BRITISH JOURNAL OF CANCER (2022)

Letter Oncology

Reply to U. Capitanio et al

Bhavna Oza, Tim Eisen, Grant D. Stewart, Axel Bex, Patrick Royston, Angela Meade

JOURNAL OF CLINICAL ONCOLOGY (2023)

Letter Urology & Nephrology

Tyrosine kinase inhibitor treatment for renal cell carcinoma with inferior vena cava tumour thrombus: a quantitative summary

Tobias Klatte, Sarah J. J. Welsh, Antony C. P. Riddick, Jose A. Karam, Grant D. D. Stewart

BJU INTERNATIONAL (2023)

Article Urology & Nephrology

Patient experience of follow-up after surgery for kidney cancer: a focus group study

Hannah Harrison, Grant D. Stewart, Juliet A. Usher-Smith

Summary: The objective of this study was to explore the patient experience of follow-up care after kidney cancer surgery and develop recommendations for best practice. Two focus groups were conducted with 14 participants who had experience with kidney cancer follow-up care after surgery. Thematic analysis identified six themes describing the patient experience, including feelings of abandonment, uncertainty about the plan, anxiety about appointments, variation in care, a need for information, and a need for emotional support. Based on the results, a set of recommendations was developed to address these challenges.

BJU INTERNATIONAL (2023)

Review Oncology

Diagnostic Performance of Biomarkers for Bladder Cancer Detection Suitable for Community and Primary Care Settings: A Systematic Review and Meta-Analysis

Evie Papavasiliou, Valerie A. Sills, Natalia Calanzani, Hannah Harrison, Claudia Snudden, Erica di Martino, Andy Cowan, Dawnya Behiyat, Rachel Boscott, Sapphire Tan, Jennifer Bovaird, Grant D. Stewart, Fiona M. Walter, Yin Zhou

Summary: Bladder cancer is a common cancer worldwide and early diagnosis is crucial for better survival rates. Urinary biomarkers have been developed but their diagnostic performance in the general population is limited. This study systematically reviewed evidence on biomarkers suitable for use in community and primary care settings, identifying three biomarkers with similar diagnostic performance and some promising novel biomarkers. Further validation studies in the general population are needed.

CANCERS (2023)

Article Chemistry, Multidisciplinary

Lithographically defined encoded magnetic heterostructures for the targeted screening of kidney cancer

Selma Leulmi Pichot, Tarun Vemulkar, Jeroen Verheyen, Lauren Wallis, James O. Jones, Andrew P. Stewart, Sarah J. Welsh, Grant D. Stewart, Russell P. Cowburn

Summary: This study describes a newly developed non-invasive urine-based assay for the early detection of renal cell carcinoma (RCC). The study shows that magnetic heterostructures have precise magnetic control and efficient code readout capabilities, making them suitable for screening RCC biomarkers.

NANOSCALE ADVANCES (2023)

Review Oncology

Activity of Immunotherapy Regimens on Primary Renal Tumours: A Systematic Review

James O. Jones, William H. J. Ince, Sarah J. Welsh, Grant D. Stewart

Summary: ICPI treatment has shown efficacy in metastatic renal cell carcinoma, but there is limited evidence on the long-term survival benefit of ICPI therapy in localized disease in both neoadjuvant and adjuvant settings.

KIDNEY CANCER (2022)

Article Engineering, Biomedical

Study on the adverse effect of acid-corrosion on the dentin in terms of degradation of fracture resistance

Xinyao Zhu, Yifan Liu, Jing Ye, Wei Xu, Xuexia Zhao, Tianyan Liu

Summary: This study reveals the adverse effect of acid on dentin in terms of degradation of its fracture toughness. The peritubular dentin plays a significant role in enhancing the dentin's fracture resistance capability. The findings highlight the importance of structural integrity for dentin.

JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS (2024)

Article Engineering, Biomedical

Rapidly derived equimolar Ca: P phasic bioactive glass infused flexible gelatin multi-functional scaffolds - A promising tissue engineering

Priya Ranganathan, Vijayakumari Sugumaran, Bargavi Purushothaman, Ajay Rakkesh Rajendran, Balakumar Subramanian

Summary: The study aims to design and fabricate an ultra-easier multi-functional biomedical polymeric scaffold loaded with unique equimolar Ca:P phasic bioactive glass material. The results showed that the G:BG (1:2) ratio is the more appropriate composition for enhanced bio-mineralization and higher surface area. The scaffold can induce mitogenesis in osteoblast cells for hard tissue regeneration and rapid collagen secretion in fibroblast cells for soft tissue regeneration.

JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS (2024)

Article Engineering, Biomedical

Chemical-physical behavior of Hydroxyapatite: A modeling approach

Ziad Guerfi, Oum keltoum Kribaa, Hanane Djouama

Summary: Hydroxyapatite, a biocompatible and bioactive ceramic material, has been widely studied in fields such as orthopedics and plastic surgery. The use of computational tools, especially density functional theory, has become increasingly important in research. In this study, Hydroxyapatite was synthesized using the double decomposition method and quantum mechanical computations were performed using density functional theory. The experimental and computational results confirmed the successful synthesis of Hydroxyapatite and showed good agreement in spectroscopic characterizations.

JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS (2024)

Article Engineering, Biomedical

Synthesis of bioactive heat cured PMMA/PEKK blend reinforced by nano titanium dioxide for bone scaffold applications

Sally AbdulHussain Kadhum, Nassier A. Nassir

Summary: In this research, porous composites were successfully prepared and reinforced for bone scaffold applications. The functional groups, pore structure, and composition distribution of the materials were characterized using techniques such as FTIR, Atomic Force Microscopy (AFM), and Scanning Electron Microscopy (SEM).

JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS (2024)

Article Engineering, Biomedical

Fracture toughness, work of fracture, flexural strength and elastic modulus of 3D-printed denture base resins in two measurement environments after artificial aging

Veronika Geiger, Felicitas Mayinger, Moritz Hoffmann, Marcel Reymus, Bogna Stawarczyk

Summary: The study investigated the mechanical properties of four additively manufactured denture base resins in different measurement environments, and found that the measurement environment impacts the strength and fracture toughness of the materials.

JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS (2024)

Article Engineering, Biomedical

Preparation of high strength, self-healing conductive hydrogel based on polysaccharide and its application in sensor

Junxiao Wang, Amatjan Sawut, Rena Simayi, Huijun Song, Xueying Jiao

Summary: The development of cost-effective and eco-friendly conductive hydrogels with excellent mechanical properties, self-healing capabilities, and non-toxicity is of great significance in the field of biosensors.

JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS (2024)

Article Engineering, Biomedical

Hydroxyapatite particle shape affects screw attachment in cancellous bone when augmented with hydroxyapatite-containing hydrogels

Yijun Zhou, Lisa Ho, Ayan Samanta, Philip Procter, Cecilia Persson

Summary: In this study, soft, non-setting biomaterials based on Hyalectin gels and different morphological parameters of hydroxyapatite (HA) particles were evaluated as potential augmentation materials for orthopaedic implant fixation. The results showed that constructs reinforced with irregularly shaped nano-HA particles and spherically shaped micro-HA particles had significantly higher pull-out force compared to the control group.

JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS (2024)

Article Engineering, Biomedical

A comprehensive simulation framework for predicting the eCLIPs implant crimping into a catheter and its deployment mechanisms

Mehdi Jahandardoost, Donald Ricci, Abbas S. Milani, Mohsen Jahandardoost, Dana Grecov

Summary: Tubular flow diverters are important for treating cerebral aneurysms. A new design called VR-eCLIPs has been developed to cover the neck of challenging bifurcation aneurysms. A finite element model has been used to simulate the implantation processes of VR-eCLIPs and assess potential plastic deformation.

JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS (2024)

Article Engineering, Biomedical

Assessment of needle-tissue force models based on ex vivo measurements

Marek Traczynski, Adam Patalas, Katarzyna Roslan, Marcin Suszynski, Rafa l Talar

Summary: This article evaluates the forces acting on intravenous needles during insertion into the skin and selects the most suitable model for future research. The experimental results show that needle size, insertion angle, and insertion speed have an influence on the measured force values.

JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS (2024)

Article Engineering, Biomedical

An analytical model to measure dental implant stability with the Advanced System for Implant Stability Testing (ASIST)

Chester Jar, Andrew Archibald, Monica Gibson, Lindsey Westover

Summary: This study evaluates the ASIST technique for assessing the stability of dental implants. The results show that the ASIST technique can reliably measure the interfacial stiffness of dental implants, which is not significantly influenced by different abutment types. This method may provide an improved non-invasive way to measure the stability of dental implants.

JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS (2024)

Article Engineering, Biomedical

Physics-informed UNets for discovering hidden elasticity in heterogeneous materials

Ali Kamali, Kaveh Laksari

Summary: In this paper, a UNet-based neural network model (El-UNet) is developed to infer the spatial distributions of mechanical parameters. The El-UNet shows superior performance in terms of accuracy and computational cost compared to other neural network models. A self-adaptive spatial loss weighting approach is proposed, which achieves the most accurate reconstructions in equal computation times.

JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS (2024)

Article Engineering, Biomedical

A hemostatic sponge derived from chitosan and hydroxypropylmethylcellulose

Chunyan Yu, Yanju Lu, Jinhui Pang, Lu Li

Summary: In this study, a safe and effective hemostatic composite sponge was developed by combining chitosan and hydroxypropylmethylcellulose (HPMC). The sponge exhibited excellent flexibility and rapid hemostatic ability in vitro. In vivo assessments showed that the sponge had the shortest clotting time and minimal blood loss.

JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS (2024)

Article Engineering, Biomedical

Enhancing stiffness and damping characteristics in nacreous composites through functionally graded tablet design

Zhongliang Yu, Lin Yu, Junjie Liu

Summary: The study proposes incorporating functionally graded tablets into nacreous composites to enhance both stiffness and damping properties. Analytical formulae and numerical experiments demonstrate the effectiveness of this design, surpassing existing homogeneous composites in performance.

JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS (2024)

Article Engineering, Biomedical

Multiscale homogenisation of diffusion in enzymatically-calcified hydrogels

Marc Graham, Sandra Klinge

Summary: This study investigates the macroscopic diffusion behavior of heterogeneous gels using a homogenization method in a finite element framework. Two materials, calcifying PDMA and PAAm, were studied, and the results show that the diffusivity of PDMA has a strong nonlinear dependence on the solute molecule radius.

JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS (2024)

Article Engineering, Biomedical

Optimization of surface roughness, phase transformation and shear bond strength in sandblasting process of YTZP using statistical machine learning

Abdur-Rasheed Alao

Summary: This study aimed to find the optimal sandblasting parameters for roughening YTZP surfaces. Through experimental and statistical analysis, the best setting was found to be IA = 45 degrees, AP = 110 μm, ST = 20 s, and P = 400 kPa, which resulted in the maximum surface roughness, phase transformation, and shear bond strength.

JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS (2024)