Hepatocellular carcinoma liver dynamic phantom for MRI

Ahmad, Muntaser S.; Makhamrah, Osama; Suardi, Nursakinah; Shukri, A.; Razak, Nik Noor Ashikin Nik Ab; Oglat, Ammar A.; Hjouj, Mohammad

doi:10.1016/j.radphyschem.2021.109632

Cited by 16 publications

(11 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are several issues that need to be considered when using dynamic phantom. The phantom should be in a container that allows the transfer of contrast material from the arteries to the veins through the study samples, the substance of the sample should possess the appearance of HCC, the sample should interact with the contrast material, the sample should work to remove the contrast material without altering the sample structure, flexibility regarding changing the HCC samples without affecting the liver parenchyma structure, and the phantom should allow the pumping and disposal process of the contrast material by using an automatic injector and suction device [33,34].…”

Section: Dynamic Phantommentioning

confidence: 99%

Multimodal Imaging of Hepatocellular Carcinoma Using Dynamic Liver Phantom

Ahmad¹,

Makhamrah²,

Hjouj³

2022

Hepatocellular Carcinoma - Challenges and Opportunities of a Multidisciplinary Approach

Self Cite

View full text Add to dashboard Cite

Liver phantom is used at various medical levels, such as detecting hepatocellular carcinoma (HCC) in the early stages, training medical staff to deal with HCC by taking biopsies, developing new sequences on medical imaging devices, confirming the image quality, applying treatments to HCC, and others. All of the trials should be applied before entering the real human body. The phantom includes properties very similar to those of the human body, as well as the properties of liver cancer and how it is treated within the body through its biological form. Therefore, the present chapter aims to provide comprehensive information to consider when fabricating HCC-containing phantoms and the characteristics of those phantoms in proportion to multimodal medical imaging to aid in understanding the main target of dynamic phantom for HCC.

show abstract

Section: Dynamic Phantommentioning

confidence: 99%

Multimodal Imaging of Hepatocellular Carcinoma Using Dynamic Liver Phantom

Ahmad¹,

Makhamrah²,

Hjouj³

2022

Hepatocellular Carcinoma - Challenges and Opportunities of a Multidisciplinary Approach

Self Cite

View full text Add to dashboard Cite

show abstract

“…Three gelatin-agar samples were prepared by using the same concentration of agar and different gelatin concentrations. The steps for preparing the phantom were similar to previous studies [31,32].…”

Section: Phantom Designmentioning

confidence: 99%

“…Gelatin and agar powders have been used in previous research to simulate different body parts such as the head, neck [21,22], breast [23,24], skin [25,26], spine [27] and thyroid gland [28]. These materials can also be used to simulate the human liver [29,30]; however, previous studies did not address the idea of applying a dynamic phantom to simulate HCC.…”

Section: Introductionmentioning

confidence: 99%

Gelatin-Agar Liver Phantom to Simulate Typical Enhancement Patterns of Hepatocellular Carcinoma for MRI

Ahmad¹,

Suardi²,

Shukri³

et al. 2022

ARGH

Self Cite

View full text Add to dashboard Cite

Background: Hepatocellular carcinoma (HCC) is one of the most common cause of cancer-related deaths worldwide. The objective of this study is to detect the various stages of HCC through the utilization of a dynamic liver phantom with MRI. Methods: Three liver phantoms composed of different gelatin concentrations (2.5%wt, 4.0%wt, and 5.0%wt) and fixed agar concentrations were used. The HCC samples consisted of agarose and glycerol and were of varying sizes (0.5,1.0, and 2.0cm). The chemical, mechanical, electrical, and imaging properties of the phantoms were examined. The consistency of T1 and T2 signal intensities over a six-week period was studied. In addition, dynamic contrast-enhanced MRI was used to detect the HCC samples through the Dixon sequence. Results: The gelatin concentration of 5%wt was the most stable in regard to density, exhibited the lowest average compressive strength of 0.22MPa, and had the lowest electrical conductivity over the course of a six-week period. During this time, an increase in the T1 signal intensity was observed as the gelatin concentration in the sample increased. On the contrary, the least change in T1 and T2 was noted in the first sample with the 2.5% wt of gelatin. The HCC samples simulated the typical appearance of HCC, with the minimum sample size the body coil could detect being 1cm. Conclusion: Typical Enhancement patterns of HCC were simulated under MRI.

show abstract

“…Because the liver does not have nerves, those with HBV infection do not notice any symptoms in the initial stages. By the time the body begins to sends warning signals, the optimal treatment period has already passed [ 31 , 32 ]. Although medication can be used to treat hepatitis B, the recovery rate is low.…”

Section: Introductionmentioning

confidence: 99%

Silicon Nanowires Length and Numbers Dependence on Sensitivity of the Field-Effect Transistor Sensor for Hepatitis B Virus Surface Antigen Detection

2022

Biosensors

View full text Add to dashboard Cite

Silicon nanowire field effect transistor (NWFET) sensors have been demonstrated to have high sensitivity, are label free, and offer specific detection. This study explored the effect of nanowire dimensions on sensors’ sensitivity. We used sidewall spacer etching to fabricate polycrystalline silicon NWFET sensors. This method does not require expensive nanoscale exposure systems and reduces fabrication costs. We designed transistor sensors with nanowires of various lengths and numbers. Hepatitis B surface antigen (HBsAg) was used as the sensing target to explore the relationships of nanowire length and number with biomolecule detection. The experimental results revealed that the sensor with a 3 µm nanowire exhibited high sensitivity in detecting low concentrations of HBsAg. However, the sensor reached saturation when the biomolecule concentration exceeded 800 fg/mL. Sensors with 1.6 and 5 µm nanowires exhibited favorable linear sensing ranges at concentrations from 800 ag/mL to 800 pg/mL. The results regarding the number of nanowires revealed that the use of few nanowires in transistor sensors increases sensitivity. The results demonstrate the effects of nanowire dimensions on the silicon NWFET biosensors.

show abstract

Hepatocellular carcinoma liver dynamic phantom for MRI

Cited by 16 publications

References 34 publications

Multimodal Imaging of Hepatocellular Carcinoma Using Dynamic Liver Phantom

Multimodal Imaging of Hepatocellular Carcinoma Using Dynamic Liver Phantom

Gelatin-Agar Liver Phantom to Simulate Typical Enhancement Patterns of Hepatocellular Carcinoma for MRI

Silicon Nanowires Length and Numbers Dependence on Sensitivity of the Field-Effect Transistor Sensor for Hepatitis B Virus Surface Antigen Detection

Contact Info

Product

Resources

About