From PET/CT to PET/MRI: Advances in Instrumentation and Clinical Applications

Hu, Zhenhua; Yang, Weidong; Liu, Haixiao; Wang, Kun; Bao, Chengpeng; Song, Tianming; Wang, Jing; Hui, Hui

doi:10.1021/mp500321h

Cited by 40 publications

(29 citation statements)

References 90 publications

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“…Magnetic Resonance Imaging (MRI) is currently one of the most powerful diagnosis tools in medical science [74]. MRI not uses ionizing radiation, but a high-intensity magnetic field to align the nuclear magnetization of hydrogen atoms in water within the body, taking advantage of the difference in water concentration among tissues to produce high-quality anatomical images with high spatial resolution [75].…”

Section: Cnts and Cancermentioning

confidence: 99%

Carbon Nanotubes as an Effective Opportunity for Cancer Diagnosis and Treatment

2017

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Despite the current progresses of modern medicine, the resistance of malignant tumors to present medical treatments points to the necessity of developing new therapeutic approaches. In recent years, numerous studies have focused their attention on the promising use of nanomaterials, like iron oxide nanowires, zinc oxide or mesoporous silica nanoparticles, for cancer and metastasis treatment with the advantage of operating directly at the bio-molecular scale. Among them, carbon nanotubes emerged as valid candidates not only for drug delivery, but also as a valuable tool in cancer imaging and physical ablation. Nevertheless, deep investigations about carbon nanotubes’ potential bio-compatibility and cytotoxicity limits should be also critically addressed. In the present review, after introducing carbon nanotubes and their promising advantages and drawbacks for fighting cancer, we want to focus on the numerous and different ways in which they can assist to reach this goal. Specifically, we report on how they can be used not only for drug delivery purposes, but also as a powerful ally to develop effective contrast agents for tumors’ medical or photodynamic imaging, to perform direct physical ablation of metastasis, as well as gene therapy.

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Section: Cnts and Cancermentioning

confidence: 99%

Carbon Nanotubes as an Effective Opportunity for Cancer Diagnosis and Treatment

2017

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“…However, magnetic resonance imaging (MRI) is only sensitive to deoxyhemoglobin and time‐consuming, preventing it from performing timely therapy monitoring 6. While CT is ionizing and less sensitive to the traumatic lesions 7. Diffuse optical tomography can reach brain cortex through the scalp and skull beyond the optical scattering limit but lack adequate spatial resolution 8…”

Section: Introductionmentioning

confidence: 99%

In Vivo Photoacoustic Imaging of Brain Injury and Rehabilitation by High‐Efficient Near‐Infrared Dye Labeled Mesenchymal Stem Cells with Enhanced Brain Barrier Permeability

Chen

et al. 2017

Advanced Science

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Stem cell migration and interaction with pathology are critical to understand the complexity and status of disease recovery progress. However, the dynamic visualization still remains a great challenge due to imaging technical limitation, cell labeling difficulty, or blood–brain barrier (BBB). Herein, fast photoacoustic tomography (PAT) with optical molecular probes is applied to noninvasively monitor traumatic brain injury (TBI) and its rehabilitation. The vascular distribution and TBI hemorrhage are clearly imaged, longitudinally monitored, and quantified. Bone mesenchymal stem cells (BMSCs) labeled with modified Prussian blue particles (PBPs), excellent near‐infrared dyes and photoacoustic contrasts, are intravenously injected to the mice for improved observation and efficient therapy. BMSCs are demonstrated to be capable of overcoming BBB with enhanced delivery of PBPs to the brain parenchyma. Notably, the versatile BMSCs are observed by PAT to home to the damage region and repair the ruptured vasculature. Moreover, the wound treated by BMSCs exhibits much faster recovery speed than that without treatment. These findings can potentially provide a new noninvasive and high‐resolution approach to image TBI, monitor recovery process, and especially trace BMSCs. This study will stimulate extensive researches on brain diseases and provide promising strategies of dye labeled BMSCs in regenerative medicine.

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“…Although studies using schizophrenia-specific magnetic resonance imaging (MRI) and electroencephalograms can help in understanding structural differences in the brain and the responsiveness within brain regions, numerous restrictions related to MRI, including high cost and reluctance of subjects to undergo such testing, limit the use of these procedures [1]. Schizophrenia is a degenerative neurological disease, leading to 20% of a patient’s lifetime being spent as years lived with disability (YLDs) [2].…”

Section: Introductionmentioning

confidence: 99%

The facial expression of schizophrenic patients applied with infrared thermal facial image sequence

et al. 2017

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BackgroundSchizophrenia is a neurological disease characterized by alterations to patients’ cognitive functions and emotional expressions. Relevant studies often use magnetic resonance imaging (MRI) of the brain to explore structural differences and responsiveness within brain regions. However, as this technique is expensive and commonly induces claustrophobia, it is frequently refused by patients. Thus, this study used non-contact infrared thermal facial images (ITFIs) to analyze facial temperature changes evoked by different emotions in moderately and markedly ill schizophrenia patients.MethodsSchizophrenia is an emotion-related disorder, and images eliciting different types of emotions were selected from the international affective picture system (IAPS) and presented to subjects during ITFI collection. ITFIs were aligned using affine registration, and the changes induced by small irregular head movements were corrected. The average temperatures from the forehead, nose, mouth, left cheek, and right cheek were calculated, and continuous temperature changes were used as features. After performing dimensionality reduction and noise removal using the component analysis method, multivariate analysis of variance and the Support Vector Machine (SVM) classification algorithm were used to identify moderately and markedly ill schizophrenia patients.ResultsAnalysis of five facial areas indicated significant temperature changes in the forehead and nose upon exposure to various emotional stimuli and in the right cheek upon evocation of high valence low arousal (HVLA) stimuli. The most significant P-value (lower than 0.001) was obtained in the forehead area upon evocation of disgust. Finally, when the features of forehead temperature changes in response to low valence high arousal (LVHA) were reduced to 9 using dimensionality reduction and noise removal, the identification rate was as high as 94.3%.ConclusionsOur results show that features obtained in the forehead, nose, and right cheek significantly differed between moderately and markedly ill schizophrenia patients. We then chose the features that most effectively distinguish between moderately and markedly ill schizophrenia patients using the SVM. These results demonstrate that the ITFI analysis protocol proposed in this study can effectively provide reference information regarding the phase of the disease in patients with schizophrenia.

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From PET/CT to PET/MRI: Advances in Instrumentation and Clinical Applications

Cited by 40 publications

References 90 publications

Carbon Nanotubes as an Effective Opportunity for Cancer Diagnosis and Treatment

Carbon Nanotubes as an Effective Opportunity for Cancer Diagnosis and Treatment

In Vivo Photoacoustic Imaging of Brain Injury and Rehabilitation by High‐Efficient Near‐Infrared Dye Labeled Mesenchymal Stem Cells with Enhanced Brain Barrier Permeability

The facial expression of schizophrenic patients applied with infrared thermal facial image sequence

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