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Mingtuan Xue¹, Jiajun Cao¹, Wei Du¹, Wenjia Wang², and Yanwei Miao^1
1The department of radiology, the first Affiliated Hospital of Dalian Medical University, Dalian, China, ²GE Healthcare, Beijing, China

Keywords: Tumors, Cancer, BRCA patients, Delta-catenin, Resting-state fMRI

This work aimed to explore the effects of different expressions of Delta-catenin in breast cancer(BRCA) patients based on small-world brain network. The results showed that the expression status of Delta-catenin proteins had significant differences on the small-world brain network properties of patients.

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Osamu Togao¹, Jochen Keupp², Koji Yamashita³, Kazufumi Kikuchi⁴, Tatsuhiro Wada⁵, and Kousei Ishigami^4
1Molecular Imaging & Diagnosis, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, ²Philips Research, Hamburg, Germany, ³Department of Radiology Informatics and Network, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, ⁴Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, ⁵Division of Radiology, Department of Medical Technology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan

Keywords: Tumors, CEST & MT

We propose a simple and efficient metric for APT-weighted MRI, which suppresses fluid signals and enhances signals form solid components based on the spectral shape of the background MT ratio. No extra acquisition or mathematical fitting is needed because the metric can be computed from the minimum Z-spectral data required for standard APT-weighted MRI. This post-processing normalizing for background MT effects may facilitate the quantitative evaluation of the APT-weighted signal of the active solid component in brain tumors.

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Franklyn A Howe¹, Timothy L Jones², Philip Rich³, Felix Raschke⁴, Jamshid Dehmeshki⁵, and Thomas R Barrick^1
1Molecular and Clinical Sciences Research Institute, St George's, University of London, London, United Kingdom, ²Neurosurgery, St George's University Hospital Foundation Trust, London, United Kingdom, ³Neuroradiology, St George's University Hospital Foundation Trust, London, United Kingdom, ⁴Faculty of Medicine and University Hospital Carl Gustav Carus, OncoRay - National Center for Radiation Research in Oncology, Dresden, Germany, ⁵Image Analysis Group, London, United Kingdom

Keywords: Tumors, Spectroscopy, quantitation

A tissue water signal is frequently used as a reference for metabolite quantitation by 1H MRS. We have determined the variability of T1, T2 and PD in glial brain tumours and normal brain to assess how tumour heterogeneity affects the reference signal at 3T. The typical short echo time MRS parameters TR 2000ms and TE 32ms reside within a “sweet spot” of minimum variation in the product PD*exp(-TE/T2)*[1-exp(-TR/T1)] that determines the water reference signal across a wide range of tissues (NWM, tumour core, necrosis and oedema). This choice also provides good SNR per unit time for the key metabolite singlets.

na liu¹, ailian liu², peng sun¹, qingwei song¹, and yanwei miao^3
1The First Affiliated Hospital of Dalian Medical University, DaLian, China, ²The First Affiliated Hospital of Dalian Medical University, Dalian, China, ³The First Affiliated Hospital of Dalian Medical University, dalian, China

Keywords: Tumors, Molecular Imaging

2D APTw imaging is a single-slice imaging method focusing on the selected plane, with low spatial coverage and a much shorter scan time than its 3D counterpart, which makes it an optional scan sequence for patients who cannot tolerate long scan times. However, there is still a lack of an optimal setting for 2D APTw imaging in clinics for human brain tumors. Therefore, this study aims to explore the different combinations of pulse power and duration of saturation RF pulse in 2D APTw imaging on brain tumors and to find an optimal setting suitable for clinical use.  

na liu¹, liangjie lin², yukun zhang¹, ailian liu³, qingwei song¹, and yanwei miao^1
1The First Affiliated Hospital of Dalian Medical University, DaLian, China, ²Philips Healthcare, BeiJing, China, ³The First Affiliated Hospital of Dalian Medical University, Dalian, China

Keywords: Tumors, Molecular Imaging

Amide Proton Transfer (APT) weighted imaging is a new type of magnetic resonance molecular imaging technology derived from Chemical Exchange Saturation Transfer (CEST) technology. APT weighted imaging can be carried out with 2D and 3D acquisition mode, so called as 2D- and 3D-APT respectively. There is no relevant report on the comparison of 2D and 3D-APT imaging on brain tumors. This study intends to compare and analyze the performance of 2D- and 3D-APT imaging on brain tumors through imaging and pathological data, and recommend a better APT imaging scheme to improve the diagnosis of brain tumors.

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Mengqiu Cao¹, Liu Fang¹, Xiaoqing Wang¹, Xinyue Liang², Yongming Dai², and Zhou Yan^1
1Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, ²MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China

Keywords: Tumors, Tumor, glioblastoma

Glioblastoma (GBM) is characterized remarkably high tumors heterogeneity which contribute to its poor survival and effective therapies. We build the spatial habitats based on multiparametric physiologic MRI (diffusion-weighted and perfusion-weighted MRI) to describe the intratumoral heterogeneity of gliomas and explore the possibility of the link between theses habitats and progression-free survival (PFS). This shows the spatial correspondence with molecular histological features and MRI images. This also provide valuable information to identify tumor progression areas that may require biopsy and potential treatment resistance subregions which tend to be the target areas of treatment.

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Kun Cheng^1,2, Chenxi Li¹, Caohui Duan¹, Xiangbing Bian¹, Haidong Li³, Xin Zhou³, and Xin Lou^1
1Department of Radiology, Chinese PLA General Hospital, Beijing, China, ²School of Medical Imaging, Guizhou Medical University, Guiyang, China, ³Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China

Keywords: Tumors, Hyperpolarized MR (Gas), Xenon-129

This study explored the application of hyperpolarized ¹²⁹Xe (HP ¹²⁹Xe) MR imaging in patients with brain tumors. HP¹²⁹Xe MR and ¹H MR imaging was performed on three subjects. The results showed that HP ¹²⁹Xe MRI has the ability to detect brain tumors, but the HP ¹²⁹Xe brain MR imaging showed the lesion range was mismatched with T2 weighted image (T2WI) and arterial spin labeling (ASL)image, these are needed to be addressed in the future.

Ling Chen¹, Tao Li¹, Zisan Zeng², Yao Li¹, Kan Deng³, Shuanghong Li¹, Jinhuan Zhang¹, and Lifang Tang^1
1The Fourth Affiliated Hospital, Guangxi Medical University, Liuzhou, China, ²The First Affiliated Hospital, Guangxi Medical University, Nanning, China, ³Philips Healthcare, Guangzhou, China

Keywords: Tumors, Brain

This study is to determine whether APTw and ASL imaging are useful for distinguishing GBMs and SBMs. The differences in APT and CBF values between GBMs and SBMs were compared.The result showed that 3D APTw is an important MRI technique for distinguishing SBMs and GBMs. Particularly, APTw combined with ASL demonstrated a more satisfactory discrimination and a higher diagnostic performance. 

Lan Zhang¹, Xinli Zhang¹, Xiaona Fu¹, Yuxi Jia¹, Xiaoming Liu¹, Lan Cheng¹, Zhengwu Tan¹, Xudong Li², Zhengyin Cheng³, Xiaochuan Dong⁴, Peng Sun⁵, Xiaoxiao Zhang⁵, Xiaobin Jiang², Chuansheng Zheng¹, Xuan Wang², and Jing Wang^1
1Department of Radiology, Union hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China., Wuhan, China, ²Department of Neurosurgery, Union hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China., Wuhan, China, ³People's Hospital of Dongxihu District, Wuhan, Hubei, China., Wuhan, China, ⁴Department of Pathology, Union hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China., Wuhan, China, ⁵Clinical & Technical Solutions, Philips Healthcare, Beijing 100600, China., Wuhan, China

Keywords: Tumors, Multi-Contrast

In this study, the diagnostic performance of histogram features of APT, DTI and DSC in predicting IDH mutation and MGMT promoter methylation status of gliomas was compared. Secondly, the histogram parameters from the signal-time intensity curve of DSC significantly improved the predictive performance of DSC model. Most importantly, the combined logistic regression model combined with APT, DTI and DSC can evaluate the tumor nature of glioma more comprehensively and obtain better diagnostic performance, which is expected to become an imaging molecular marker for the prediction of glioma genotyping in the future.

Yifan Yuan¹, Yang Yu², Jun Chang¹, Ying-Hua Chu³, Yi-Cheng Hsu³, Mianxin Liu⁴, and Qi Yue^1
1Department of neurosurgery, Huashan Hospital Fudan University, Shanghai, China, ²Department of radiology, Huashan Hospital Fudan University, Shanghai, China, ³MR Collaboration, Siemens Healthineers Ltd, Shanghai, China, ⁴School of Biomedical Engineering, ShanghaiTech University, shanghai, China

Keywords: Tumors, CEST & MT

Noninvasive prediction of isocitrate dehydrogenase (IDH) mutation status in glioma guides surgical strategies and individualized management. We explored the capability of preoperatively identifying IDH status by combining a 2D convolutional neural network (CNN) and amide proton transfer chemical exchange saturation transfer (APT-CEST) imaging. Five-fold cross-validation suggested the APT-CEST with the tumor shape information predicts IDH status optimally. The novel CNN model designed for 7T APT-CEST offers improved discriminatory accuracy in predicting the IDH status of glioma, holding great potential for facilitating decision-making in clinical practice.

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Zhiyi Zhang¹, Hui Zhang¹, and Yan Tan^1
1Shanxi Medical University, Taiyuan, China

Keywords: Tumors, Cancer, Iower-grade glioma

When radiological signature was combined with new molecular signature, higher performance was achieved in predicting the prognosis of IDH wild-type lower-grade glioma patients. The combined model showed great risk stratification ability, which improving survival prediction in patients with IDH wild-type lower-grade glioma.

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Haiyan Gao¹ and Meiyun Wang^1,2
1Henan provincial People’s Hospital, Zhengzhou, China, ²Laboratory of Brain Science and Brain-Like Intelligence Technology, Institute for Integrated Medical Science and Engineering, Henan Academy of Sciences, Zhengzhou, China

Keywords: Tumors, Brain

This project intends to innovatively design and synthesize novel radiotherapy sensitization and enhanced CDT dual-effect sensitization nanodrugs, further wrap them with engineered red blood cell membrane vesicles, and construct a high-performance biomimetic nanomedicine synergistic treatment system with high targeting, high specificity and high yield of reactive oxygen species, in order to achieve the specificity and high efficiency accumulation of nanomedicines in the GBM, while reducing toxicity to normal tissues. Magnetic resonance and other imaging methods are used to guide the efficient treatment of drugs and monitor the effect of tumor ablation.

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Adam W Autry¹, Marisa LaFontaine¹, Javier Villanueva-Meyer¹, Susan M Chang², Henk M de Feyter³, and Yan Li^1
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, ²Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States, ³Department of Radiology and Biomedical Imaging, Magnetic Resonance Research Center, Yale University, New Haven, CT, United States

Keywords: Tumors, Brain, deuterated glucose

This study aimed to perform indirect detection of deuterated glucose metabolism at 3 Tesla in healthy subjects and patients with brain tumors using time-series data acquired from atlas-based single-voxel spectroscopy and whole-brain 3D magnetic resonance spectroscopic imaging (MRSI). Following ²H-glucose consumption, subjects generally displayed reduced levels of glutamate in the anterior cingulate cortex (ACC) and midline gray matter, while patient T2 lesions did not appear to show the same trend. These preliminary data demonstrate the ability to detect deuterated glucose metabolism at 3 Tesla.

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Sribindu Sreepada¹, Wufan Zhao¹, Eduardo Coello¹, Vicky Liao¹, and Alexander Lin^1
1Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women's Hospital / Harvard Medical School, Boston, MA, United States

Keywords: Tumors, Spectroscopy, chemical shift imaging, glioma

This work examines the differences in metabolite concentrations in brain cancer lesions between the glioma and edema hyperintensities. Metabolites that showed statistically significant differences in this work are 2HG, total choline, glutamate plus glutamine, myoinositol, and lactate. Correlations between the metabolites and the partial volume fractions of hyperintense regions from MRIs revealed that the metabolite concentrations are higher in glioma than in edema. These results provide a simple method for fusing metabolic data with imaging findings which can provide added value for clinicians.

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zhenguo Yuan¹, hexin Liang¹, and Yuhan Wang^2
1Shandong Provincial Hospital, Shandong, China, ²Philips Healthcare, Shanghai, China

Keywords: Tumors, Brain

We developed and validated radiomic models based on DWI, DCE, and APTw sequences to evaluate Ki-67 proliferation and IDH-1 mutation in glioma

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Gary Martinez¹, Zhan Xu¹, Dmitry Nevozhay¹, Collin J. Harlan¹, Christopher M. Walker¹, Keith A. Michel¹, Tyler King², Emily Que², Konstantin Sokolov¹, and James A Bankson^1
1Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ²Chemistry, The University of Texas at Austin, Austin, TX, United States

Keywords: Tumors, Cell Tracking & Reporter Genes, immune therapy

In order to track immune cells loaded with 19F compound, a nanoformulation based on iron-doped perfluoro-15-crown-5-ether, called Fe-PFCE was developed for Fluorine-19 MRI. It’s relaxation time was characterized with a custom designed 8 channel Fluorine transmit/receive head coil on clinical 3Tesla MR scanner. Its relaxation time (T1/T2) was 39ms/7ms as comparing to 894ms/196ms nanoformulation based on original (undoped) perfluoro-15-crown-5-ether, called “PFCE”. The SNR/19F-concentration ratio of 1ml Fe-PFCE nanoformulation measured by bSSFP was found to be 53% stronger than that of PFCE. A good signal profile was yielded within the coil receiving field.

Yifan Yuan¹, Yang Yu², Jun Chang¹, Ying-Hua Chu³, Yi-Cheng Hsu³, He Wang⁴, Patrick Alexander Liebig⁵, Qi Yue¹, Liang Chen¹, and Ying Mao^1
1Department of neurosurgery, Huashan Hospital Fudan University, Shanghai, China, ²Department of radiology, Huashan Hospital Fudan University, Shanghai, China, ³MR Collaboration, Siemens Healthineers Ltd, Shanghai, China, ⁴Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, China, ⁵MR Collaboration, Siemens Healthineers Ltd, Erlangen, Germany

Keywords: Tumors, CEST & MT, NODDI

Glioma grows infiltratively along fiber tracts, making it difficult to determine the tumor boundary. Extended resection may impair eloquent brain areas and cause functional disorders, while conservative resection often leaves tumor residues at the cutting edge, leading to early recurrence. This study uses APT-CEST imaging and NODDI to explore glioma's microstructural and metabolic characteristics. We trained a model from 100 biopsies to predict tumor presence in non-enhancing areas. This model shows potential for guiding precise glioma resection and radiotherapy.

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Dinil Sasi Sankaralayam^1,2, Rakesh Kumar Gupta³, Anandh K Ramaniharan^4,5, Rana Patir³, Suneeta Ahlawat³, and Anup Singh^1,6
1Indian Institute of Technology Delhi, New Delhi, India, ²Johns Hopkins University, Baltimore, MD, United States, ³Fortis Memorial Research Institute, Gurugram, India, ⁴Philips Innovation Campus, Bengaluru, India, ⁵Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, ⁶All India Institute of Medical Sciences, New Delhi, India

Keywords: Tumors, DSC & DCE Perfusion

Absolute quantification of cerebral-blood-volume (CBV) and cerebral-blood-flow (CBF) from dynamic-susceptibility-contrast (DSC)-MRI has shown wide clinical applications. Recent developments in dynamic-contrast-enhanced (DCE)-MRI have shown computation of CBV and CBF along with permeability information with and without model dependent analyses. The model free approach computed CBV and CBF with inherent leakage information and it is still unclear about the clinical significance of leakage correction. So this study is designed to evaluate the impact of leakage correction of CBV and CBF into glioma grading. Results of the study shows that leakage correction underperformed in terms of noise sensitivity and quantitatively differentiating glioma.