DCE-MRI定量灌注参数鉴别直肠癌区域淋巴结良恶性的初步探讨 by 杨心悦, 肖晓娟, 杨艳红, 文自强, 卢宝兰, 余深平

“…【目的】采用DCE-MRI定量灌注参数评价直肠癌区域淋巴结，以探究各参数鉴别良恶性淋巴结的临床应用价 值。【方法】收集本院2015年1月至2016年8月行术前DCE-MRI扫描且未经新辅助治疗行直肠癌根治术患者122例，纳入 术前DCE-MRI与术后病理相对应淋巴结203枚（阳性95枚，阴性108枚），测量各淋巴结短径（S）、长径（L）并计算二者比值 （S/L），测算各淋巴结定量灌注参数，包括对比剂容积转换常数（K trans ）、速率常数（K ep ）、单位体积组织细胞外血管外间隙容量 （V e ）。…”
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Modulation of High-Frequency rTMS on Reward Circuitry in Individuals with Nicotine Dependence: A Preliminary fMRI Study by Tao Wang, Ruiyang Li, Dongyan Chen, Mei Xie, Zhiqiang Li, Huan Mao, Yuting Ling, Xiaoyun Liang, Guojun Xu, Jianjun Zhang

“…We recruited 17 nicotine-dependence participants, who completed 10 sessions of 10 Hz rTMS over a 2-week period and underwent evaluation of several dependence-related scales, and resting-state fMRI scan before and after the treatment. Functional connectivity (FC) analysis was conducted with reward-related brain regions as seeds, including ventral tegmental area, bilateral nucleus accumbens (NAc), bilateral DLPFC, and bilateral amygdala. …”
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Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images by K. Lakshmi, Sibi Amaran, G. Subbulakshmi, S. Padmini, Gyanenedra Prasad Joshi, Woong Cho

“…MRI images can sometimes appear normal even when a patient has a tumour or malignancy. …”
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肝海绵状血管瘤的MRI与CT、超声、血管造影诊断价值的比较

“…总结近年经临床证实的５９例肝海绵状血管瘤（ＨＨＥ），其中经ＭＲＩ检查４８例，ＣＴ３３例，超声（ＵＳ）２２例，选择性肝动脉造影（ＨＡＧ）１６例。结果发现：病灶检出率：以ＭＲＩ为标准（１００％），ＣＴ、ＵＳ、ＨＡＧ分别为６５．９％，８８．９％，８３．３％。…”
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MRI-T2*检测β-重型地中海贫血心、肝、胰铁沉积的临床价值 by 黄静文, 苏赟, 黎继昕, 杨绮华, 梁碧玲

“…目的MRI-T2*定量评价β-重型地中海贫血（β-TM）患者心肌、肝脏、胰腺铁沉积程度，探讨心肌铁沉积与肝脏、胰腺铁沉积的关系。…”
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MRI在鉴别鼻咽癌放疗后局部复发与纤维化的应用研究

“…本研究对经电于计算机体层照相术（CT）证实鼻咽部有肿块的36例鼻咽癌放疗后患者及8例未经治疗的鼻咽癌患者行磁共振成像（MRI）,对各病变信号强度的分析结果显示:放疗后纤维化在T;加权图象（T1WI）和T2加权图象（T2WI）上均显示为低或较低信号强度;癌肿在T1WI上多显示为较高信号强度,但与纤维化有一定重叠;在T2WI上肿瘤信号强度明显增强,与纤维化区别最明显,对诊断起主要作用。…”
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Comparison of Amino Acid PET to Advanced and Emerging MRI Techniques for Neurooncology Imaging: A Systematic Review of the Recent Studies by Brittany M. Stopa, Csaba Juhász, Sandeep Mittal

“…The clinical use of additional modalities including amino acid PET (aaPET) and advanced MRI (aMRI) techniques (including DWI, PWI, and MRS) is emerging in response to the need for more accurate detection of brain tumors. …”
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Emotional pictures in the brain and their interaction with the task: A fine-grained fMRI coordinate-based meta-analysis study by Serafino Paolo Mansueto, Zaira Romeo, Alessandro Angrilli, Chiara Spironelli

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Assessing blood flow in uterine fibroids using intravoxel incoherent motion imaging compared with dynamic contrast-enhanced MRI by Teija Sainio, Jani Saunavaara, Gaber Komar, Antti Viitala, Saara Otonkoski, Kirsi Joronen, Antti Perheentupa, Roberto Blanco Sequeiros

“…Abstract To assess the utility of IVIM parameters in evaluating uterine fibroid blood flow compared to dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) derived blood flow. Sixteen premenopausal women with uterine fibroids were enrolled in this prospective study. …”
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First Experiences with Fusion of PET-CT and MRI Datasets for Navigation-Assisted Percutaneous Biopsies for Primary and Metastatic Bone Tumors by Hagen Fritzsche, Alexander Pape, Klaus-Dieter Schaser, Franziska Beyer, Verena Plodeck, Ralf-Thorsten Hoffmann, Patricia Hahlbohm, Elisabeth Mehnert, Anne Weidlich

“…Navigation was based on preoperative CT, PET-CT/-MRI, and MRI datasets, and tumor biopsies were performed using intraoperative 3D imaging combined with a navigation system. …”
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DeepCERES: A deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI by Sergio Morell-Ortega, Marina Ruiz-Perez, Marien Gadea, Roberto Vivo-Hernando, Gregorio Rubio, Fernando Aparici, Maria de la Iglesia-Vaya, Gwenaelle Catheline, Boris Mansencal, Pierrick Coupé, José V. Manjón

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Peering into the Heart: A Comprehensive Exploration of Semantic Segmentation and Explainable AI on the MnMs-2 Cardiac MRI Dataset by Ayoob Mohamed, Nettasinghe Oshan, Sylvester Vithushan, Bowala Helmini, Mohideen Hamdaan

“…This study explores the integration of semantic segmentation and explainable AI techniques on the MnMs-2 Cardiac MRI dataset. We propose a segmentation model that achieves competitive dice scores (nearly 90 %) and Hausdorff distance (less than 70), demonstrating its effectiveness for cardiac MRI analysis. …”
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Comparison of 3D Gradient-Echo Versus 2D Sequences for Assessing Shoulder Joint Image Quality in MRI by Shapoor Shirani, Najmeh-Sadat Mousavi, Milad Ali Talib, Mohammad Ali Bagheri, Elahe Jazayeri Gharebagh, Qasim Abdulsahib Jaafar Hameed, Sadegh Dehghani

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AI-Assisted Compressed Sensing Enables Faster Brain MRI for the Elderly: Image Quality and Diagnostic Equivalence with Conventional Imaging by Gu W, Yang C, Wang Y, Hu W, Wu D, Cai S, Hong G, Hu P, Zhang Q, Dai Y

“…This suggests that ACS could be potentially adopted for routine clinical use in brain MRI.Keywords: brain, magnetic resonance imaging, fast imaging, deep learning, compressed sensing…”
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The Role of the Cognitive Control System in Recovery from Bilingual Aphasia: A Multiple Single-Case fMRI Study by Narges Radman, Michael Mouthon, Marie Di Pietro, Chrisovalandou Gaytanidis, Beatrice Leemann, Jubin Abutalebi, Jean-Marie Annoni

“…To test this hypothesis, we collected behavioral measures of language production (general aphasia evaluation and picture naming) in each language and language control (linguistic and nonlinguistic switching tasks), as well as fMRI during a naming task at one and four months following stroke in five bilingual patients suffering from poststroke aphasia. …”
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ＤＣＥ－ＭＲＩ和ＤＷＩ在界定儿童脑胶质瘤边界中的诊断价值

“…摘 要： 【目的】 探讨动态对比增强磁共振成像（ＤＣＥ－ＭＲＩ）灌注参数［血管渗透性参数（Ｋｔｒａｎｓ）、细胞外血管外间隙容量（ｖｅ）、速率常数（ｋｅｐ）、相对强化率曲线下面积（ｉＡＵＣ）］和表观扩散系数（ＡＤＣ）值在儿童高、低级别脑胶质瘤边界确定中的应用价值。…”
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Altered Brain Activation in Early Drug-Naive Parkinson’s Disease during Heat Pain Stimuli: An fMRI Study by Ying Tan, Juan Tan, Cheng Luo, Wenjuan Cui, Hui He, Yi Bin, Jiayan Deng, Rui Tan, Wenrong Tan, Tao Liu, Nanlin Zeng, Ruhui Xiao, Dezhong Yao, Xiaoming Wang

“…To study the nonmotor signs of early PD, we investigated the reactions solicited by heat pain stimuli in early untreated PD patients without pain using fMRI. The activation patterns of contact heat stimuli (51°C) were assessed in 14 patients and 17 age- and sex-matched healthy controls. …”
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Radiomics based Machine Learning Models for Classification of Prostate Cancer Grade Groups from Multi Parametric MRI Images by Fatemeh Zandie, Mohammad Salehi, Asghar Maziar, Mohammad Reza Bayatiani, Reza Paydar

“…Purpose: This study aimed to investigate the performance of multiparametric magnetic resonance imaging (mpMRI) radiomic feature-based machine learning (ML) models in classifying the Gleason grade group (GG) of prostate cancer. …”
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The Relationship between Side of Onset and Cerebral Regional Homogeneity in Parkinson’s Disease: A Resting-State fMRI Study by Kai Li, Hong Zhao, Chun-Mei Li, Xin-Xin Ma, Min Chen, Shu-Hua Li, Rui Wang, Bao-Hui Lou, Hai-Bo Chen, Wen Su

“…Resting-state functional MRI was performed, and ReHo was used to determine the brain activity. …”
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Solely MRI-Guided Cardiac Catheterization for Assessment of Pulmonary Hypertension in a Pregnant Lady with Undiagnosed Congenital Heart Disease by Aphrodite Tzifa, Ioannis Polymerou, Dimitra Loggitsi

“…In this setting, a solely MRI-guided catheterization may present as a better alternative.…”
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