3D printing complex lattice structures for permeable liver phantom fabrication

Low, Linda; Ramadan, Sherif; Coolens, Catherine; Naguib, Hani E.

doi:10.1016/j.bprint.2018.e00025

Cited by 16 publications

(8 citation statements)

References 18 publications

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“…Besides, phantom manufacturing is highly subject to change. We expect to see more three-dimensional printed perfusion phantoms in the coming years [43,53,54].…”

Section: Discussionmentioning

confidence: 99%

“…Tissue-filled phantoms incorporate tissuemimicking material inside the volume, which subsequently leads to formation of a "microvasculature". Used materials include sponge [20,21,33,44], (micro)beads [19,31,40], gel [18,39], and printed microchannels [32,43]. Remarkably, in most studies, fluid exchange between simulated microvasculature and tissue (i.e., transfer rates K 1 and k 2 ) was uncontrollable, except for the study performed by Ohno et al [33].…”

Section: Phantom Designmentioning

confidence: 99%

“…In this study, the compliance of the capacitor space could be altered to control k 2 to some extent. Low et al [43] and Ebrahim et al [32] have mathematically simulated the desired phantom flow configuration, before printing the microchannels. However, these models did not simulate fluid exchange between microvasculature and tissue.…”

Section: Phantom Designmentioning

confidence: 99%

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Quantitative imaging: systematic review of perfusion/flow phantoms

et al. 2020

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Background: We aimed at reviewing design and realisation of perfusion/flow phantoms for validating quantitative perfusion imaging (PI) applications to encourage best practices. Methods: A systematic search was performed on the Scopus database for "perfusion", "flow", and "phantom", limited to articles written in English published between January 1999 and December 2018. Information on phantom design, used PI and phantom applications was extracted. Results: Of 463 retrieved articles, 397 were rejected after abstract screening and 32 after full-text reading. The 37 accepted articles resulted to address PI simulation in brain (n = 11), myocardial (n = 8), liver (n = 2), tumour (n = 1), finger (n = 1), and non-specific tissue (n = 14), with diverse modalities: ultrasound (n = 11), computed tomography (n = 11), magnetic resonance imaging (n = 17), and positron emission tomography (n = 2). Three phantom designs were described: basic (n = 6), aligned capillary (n = 22), and tissue-filled (n = 12). Microvasculature and tissue perfusion were combined in one compartment (n = 23) or in two separated compartments (n = 17). With the only exception of one study, inter-compartmental fluid exchange could not be controlled. Nine studies compared phantom results with human or animal perfusion data. Only one commercially available perfusion phantom was identified. Conclusion: We provided insights into contemporary phantom approaches to PI, which can be used for ground truth evaluation of quantitative PI applications. Investigators are recommended to verify and validate whether assumptions underlying PI phantom modelling are justified for their intended phantom application.

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“…Besides, phantom manufacturing is highly subject to change. We expect to see more three-dimensional printed perfusion phantoms in the coming years [43,53,54].…”

Section: Discussionmentioning

confidence: 99%

Section: Phantom Designmentioning

confidence: 99%

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Quantitative imaging: systematic review of perfusion/flow phantoms

et al. 2020

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“…The electrode system was modified with AS1411 aptamer and modified with gold nanoparticles for selective and sensitive determination of breast cancer cells (102). A reusable and cost-effective 3D printed phantom, printed using a combination of FDM and inkjet printing processes, providing dynamic contrast-enhanced CT images helped in detecting liver cancer as the phantom claimed to control permeability through the organ which is the basis for detection of liver cancer cells (103). Low-cost disposable diagnostic platforms are real-world tools.…”

Section: Three-dimensional Printing For Cancer Diagnosismentioning

confidence: 99%

3D Printed Personalized Medicine for Cancer: Applications for Betterment of Diagnosis, Prognosis and Treatment

2021

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Cancer treatment is challenging due to the tumour heterogeneity that makes personalized medicine a suitable technique for providing better cancer treatment. Personalized medicine analyses patient-related factors like genetic make-up and lifestyle and designs treatments that offer the benefits of reduced side effects and efficient drug delivery. Personalized medicine aims to provide a holistic way for prevention, diagnosis and treatment. The customization desired in personalized medicine is produced accurately by 3D printing which is an established technique known for its precision. Different 3D printing techniques exhibit their capability in producing cancer-specific medications for breast, liver, thyroid and kidney tumours. Three-dimensional printing displays major influence on cancer modelling and studies using cancer models in treatment and diagnosis. Three-dimensional printed personalized tumour models like physical 3D models, bioprinted models and tumour-onchip models demonstrate better in vitro and in vivo correlation in drug screening, cancer metastasis and prognosis studies. Three-dimensional printing helps in cancer modelling; moreover, it has also changed the facet of cancer treatment. Improved treatment via custommade 3D printed devices, implants and dosage forms ensures the delivery of anticancer agents efficiently. This review covers recent applications of 3D printed personalized medicine in various cancer types and comments on the possible future directions like application of 4D printing and regularization of 3D printed personalized medicine in healthcare.Keywords personalized medicine • Tumour-on-chip • 3D bioprinting • 3D printing • Cancer modelling

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“…Para realizar tanto análisis semicuantitativos como cuantitativos es necesario medir la concentración de contraste en cada vóxel de las imágenes, convirtiendo los valores de intensidad a valores de concentración. Aunque existen diseños de maniquíes que permiten determinar la exactitud de la medida de la concentración de contraste tanto para flujos del orden de los medidos en arterias como en tejidos poco vascularizados 4,5 o que permiten modificar la permeabilidad, 6 hasta donde conocen los autores de este texto no existen elementos patrón con los que realizar una calibración del proceso completo de obtención de los parámetros del tejido.…”

Section: Introductionunclassified

Validación de un algoritmo de obtención de biomarcadores de imágenes dinámicas de perfusión en tomografía computarizada

Guirado

Cueto

Sogorb³

2020

Rev Fis Med

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A partir del análisis de las imágenes dinámicas de perfusión de contraste en tomografía computarizada, se pueden obtener parámetros que miden características fisiológicas relacionadas con la permeabilidad de los tejidos. Puesto que no existen elementos patrón con los que realizar calibraciones de los conjuntos de herramientas de adquisición y procesado, es necesario hacer una validación de los resultados obtenidos con el algoritmo aplicado a imágenes sintéticas. En este texto se estudia el desempeño en condiciones ideales y en presencia de ruido de un algoritmo de ajuste no lineal para la obtención de parámetros del modelo de Tofts extendido para imágenes de perfusión dinámica. En las pruebas se utiliza como fuente de datos unas imágenes sintéticas formadas a partir de valores conocidos de los parámetros del modelo.

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3D printing complex lattice structures for permeable liver phantom fabrication

Cited by 16 publications

References 18 publications

Quantitative imaging: systematic review of perfusion/flow phantoms

Quantitative imaging: systematic review of perfusion/flow phantoms

3D Printed Personalized Medicine for Cancer: Applications for Betterment of Diagnosis, Prognosis and Treatment

Validación de un algoritmo de obtención de biomarcadores de imágenes dinámicas de perfusión en tomografía computarizada

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