Experimental assessment on feasibility of computed tomography-based thermometry for radiofrequency ablation on tissue equivalent polyacrylamide phantom

Tan, Daryl; Mohamad, Nurul Ashikin; Wong, Yin How; Yeong, Chai Hong; Cheah, Peng Loon; Sulaiman, Norshazriman; Abdullah, Basri Johan Jeet; Fabell, Mohd Kamil Bin Mohd; Lim, Kok-Sing

doi:10.1080/02656736.2019.1610800

Cited by 5 publications

(5 citation statements)

References 40 publications

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“…In addition, with conventional polychromatic measurements, there are no parameters to influence the temperature sensitivity. Tan et al [12] in 2019 did not find any statistically significant difference in CT numbers with varied detection parameters for the same temperature Fig. 4 Left dependency of the CT number on the temperature with linear regression analysis for virtual monoenergetic images (VMI) and polychromatic 120-kVp images.…”

Section: Discussionmentioning

confidence: 94%

“…For clinical use, CT-based thermometry benefits from modern reconstruction algorithms such as ASIR-V and DLIR, which can drastically reduce the radiation dose [14,16]. These kinds of reconstruction algorithms and the modification of other protocol parameters have no negative influence on CT numbers [12,14,17]. However, ASIR-V and DLIR reconstruction methods can reduce beam hardening artefacts (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…for thermometry due to more frequent scans [11]. Further research is required to systematically analyze the influencing factors on CT-based thermometry [12,13], so as demonstrate if better levels of thermal-spatial resolution could be achieved, along with lower patient radiation doses [1]. With recent technical advances in CT (Fig.…”

Section: Introductionmentioning

confidence: 99%

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CT-based thermometry with virtual monoenergetic images by dual-energy of fat, muscle and bone using FBP, iterative and deep learning–based reconstruction

et al. 2021

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Objectives The aim of this study was to evaluate the sensitivity of CT-based thermometry for clinical applications regarding a three-component tissue phantom of fat, muscle and bone. Virtual monoenergetic images (VMI) by dual-energy measurements and conventional polychromatic 120-kVp images with modern reconstruction algorithms adaptive statistical iterative reconstruction-Volume (ASIR-V) and deep learning image reconstruction (DLIR) were compared. Methods A temperature-regulating water circuit system was developed for the systematic evaluation of the correlation between temperature and Hounsfield units (HU). The measurements were performed on a Revolution CT with gemstone spectral imaging technology (GSI). Complementary measurements were performed without GSI (voltage 120 kVp, current 130–545 mA). The measured object was a tissue equivalent phantom in a temperature range of 18 to 50°C. The evaluation was carried out for VMI at 40 to 140 keV and polychromatic 120-kVp images. Results The regression analysis showed a significant inverse linear dependency between temperature and average HU regardless of ASIR-V and DLIR. VMI show a higher temperature sensitivity compared to polychromatic images. The temperature sensitivities were 1.25 HU/°C (120 kVp) and 1.35 HU/°C (VMI at 140 keV) for fat, 0.38 HU/°C (120 kVp) and 0.47 HU/°C (VMI at 40 keV) for muscle and 1.15 HU/°C (120 kVp) and 3.58 HU/°C (VMI at 50 keV) for bone. Conclusions Dual-energy with VMI enables a higher temperature sensitivity for fat, muscle and bone. The reconstruction with ASIR-V and DLIR has no significant influence on CT-based thermometry, which opens up the potential of drastic dose reductions. Key Points • Virtual monoenergetic images (VMI) enable a higher temperature sensitivity for fat (8%), muscle (24%) and bone (211%) compared to conventional polychromatic 120-kVp images. • With VMI, there are parameters, e.g. monoenergy and reconstruction kernel, to modulate the temperature sensitivity. In contrast, there are no parameters to influence the temperature sensitivity for conventional polychromatic 120-kVp images. • The application of adaptive statistical iterative reconstruction-Volume (ASIR-V) and deep learning–based image reconstruction (DLIR) has no effect on CT-based thermometry, opening up the potential of drastic dose reductions in clinical applications.

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Section: Discussionmentioning

confidence: 94%

Section: Discussionmentioning

confidence: 99%

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CT-based thermometry with virtual monoenergetic images by dual-energy of fat, muscle and bone using FBP, iterative and deep learning–based reconstruction

et al. 2021

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“…CT thermometry appeared in HTs in the early of 1980s [ 106 , 107 , 108 ]. Since its first application, studies employing this technology are not lacking [ 55 , 109 , 110 , 111 , 112 , 113 , 114 , 115 , 116 ]. CT thermometry exhibits good spatial resolution, a fast acquisition time if compared to other diagnostic techniques (e.g., MR) and a temperature precision around 3 °C.…”

Section: Temperature Monitoring: Main Techniques and Applications In Bone Htsmentioning

confidence: 99%

Temperature Monitoring in Hyperthermia Treatments of Bone Tumors: State-of-the-Art and Future Challenges

Tommasi

Massaroni

Grasso

et al. 2021

Sensors

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Bone metastases and osteoid osteoma (OO) have a high incidence in patients facing primary lesions in many organs. Radiotherapy has long been the standard choice for these patients, performed as stand-alone or in conjunction with surgery. However, the needs of these patients have never been fully met, especially in the ones with low life expectancy, where treatments devoted to pain reduction are pivotal. New techniques as hyperthermia treatments (HTs) are emerging to reduce the associated pain of bone metastases and OO. Temperature monitoring during HTs may significantly improve the clinical outcomes since the amount of thermal injury depends on the tissue temperature and the exposure time. This is particularly relevant in bone tumors due to the adjacent vulnerable structures (e.g., spinal cord and nerve roots). In this Review, we focus on the potential of temperature monitoring on HT of bone cancer. Preclinical and clinical studies have been proposed and are underway to investigate the use of different thermometric techniques in this scenario. We review these studies, the principle of work of the thermometric techniques used in HTs, their strengths, weaknesses, and pitfalls, as well as the strategies and the potential of improving the HTs outcomes.

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“…While X-ray computed tomography 24,25 may offer another avenue to measure the temperature of tissues deep inside the body in vivo 26,27 non-invasively, it may not provide the sensitivity necessary to detect small changes in BAT temperature 28–30 . More importantly, temperature-induced changes in tissue radiodensity in CT images cannot be decoupled from changes in tissue lipid content, also known to occur in BAT during NST.…”

Section: Introductionmentioning

confidence: 99%

Direct detection of brown adipose tissue thermogenesis in UCP1−/− mice by hyperpolarized 129Xe MR thermometry

Antonacci

McHugh

Kelley

et al. 2019

Sci Rep

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Brown adipose tissue (BAT) is a type of fat specialized in non-shivering thermogenesis. While non-shivering thermogenesis is mediated primarily by uncoupling protein 1 (UCP1), the development of the UCP1 knockout mouse has enabled the study of possible UCP1-independent non-shivering thermogenic mechanisms, whose existence has been shown so far only indirectly in white adipose tissue and still continues to be a matter of debate in BAT. In this study, by using magnetic resonance thermometry with hyperpolarized xenon, we produce the first direct evidence of UCP1-independent BAT thermogenesis in knockout mice. We found that, following adrenergic stimulation, the BAT temperature of knockout mice increases more and faster than rectal temperature. While with this study we cannot exclude or separate the physiological effect of norepinephrine on core body temperature, the fast increase of iBAT temperature seems to suggest the existence of a possible UCP1-independent thermogenic mechanism responsible for this temperature increase.

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Experimental assessment on feasibility of computed tomography-based thermometry for radiofrequency ablation on tissue equivalent polyacrylamide phantom

Cited by 5 publications

References 40 publications

CT-based thermometry with virtual monoenergetic images by dual-energy of fat, muscle and bone using FBP, iterative and deep learning–based reconstruction

CT-based thermometry with virtual monoenergetic images by dual-energy of fat, muscle and bone using FBP, iterative and deep learning–based reconstruction

Temperature Monitoring in Hyperthermia Treatments of Bone Tumors: State-of-the-Art and Future Challenges

Direct detection of brown adipose tissue thermogenesis in UCP1−/− mice by hyperpolarized 129Xe MR thermometry

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