Two-point Dixon and six-point Dixon magnetic resonance techniques in the detection,quantification and grading of hepatic steatosis

BACKGROUND Hepatic steatosis is a very common problem worldwide.AIM To assess the performance of two-and six-point Dixon magnetic resonance(MR)techniques in the detection,quantification and grading of hepatic steatosis.METHODS A single-center retrospective study was performed in 62 patients with suspected parenchymal liver disease.MR sequences included two-point Dixon,six-point Dixon,MR spectroscopy(MRS)and MR elastography.Fat fraction(FF)estimates on the Dixon techniques were compared to the MRS-proton density FF(PDFF).Statistical tests used included Pearson’s correlation and receiver operating characteristic.RESULTS FF estimates on the Dixon techniques showed excellent correlation(≥0.95)with MRS-PDFF,and excellent accuracy[area under the receiver operating characteristic(AUROC)≥0.95]in:(1)Detecting steatosis;and(2)Grading severe steatosis,(P<0.001).In iron overload,two-point Dixon was not evaluable due to confounding T2*effects.FF estimates on six-point Dixon vs MRS-PDFF showed a moderate correlation(0.82)in iron overload vs an excellent correlation(0.97)without iron overload,(P<0.03).The accuracy of six-point Dixon in grading mild steatosis improved(AUROC:0.59 to 0.99)when iron overload cases were excluded.The excellent correlation(>0.9)between the Dixon techniques vs MRSPDFF did not change in the presence of liver fibrosis(P<0.01).CONCLUSION Dixon techniques performed satisfactorily for the evaluation of hepatic steatosis but with exceptions.

Magnetic resonance enterography in Crohn’s disease: Standard and advanced techniques

Crohn's disease (CD) is a chronic autoimmune disorder that affects mainly young people. The clinical management is based on the Crohn's Disease Activity Index and especially on biologic parameters with or without additional endoscopic and imaging procedures, such as barium and computed tomography examinations. Recently, magnetic resonance (MR) imaging has been a promising diagnostic radiologic technique with lack of ionizing radiation, enabling superior tissue contrast resolution due to new pulse-sequence developments. Therefore, MR enterography has the potential to become the modality of choice for imaging the small bowel in CD patients.

Stereotactic radiotherapy and the potential role of magnetic resonance-guided adaptive techniques for pancreatic cancer

BACKGROUND Pancreatic cancer is a malignancy with one of the poorest prognoses amongst all cancers.Patients with unresectable tumours either receive palliative care or undergo various chemoradiotherapy regimens.Conventional techniques are often associated with acute gastrointestinal toxicities,as adjacent critical structures such as the duodenum ultimately limits delivered doses.Stereotactic body radiotherapy(SBRT)is an advanced radiation technique that delivers highly ablative radiation split into several fractions,with a steep dose fall-off outside target volumes.AIM To discuss the latest data on SBRT and whether there is a role for magnetic resonance-guided techniques in multimodal management of locally advanced,unresectable pancreatic cancer.METHODS We conducted a search on multiple large databases to collate the latest records on radiotherapy techniques used to treat pancreatic cancer.Out of 1229 total records retrieved from our search,36 studies were included in this review.RESULTS Studies indicate that SBRT is associated with improved clinical efficacy and toxicity profiles compared to conventional radiotherapy techniques.Further dose escalation to the tumour with SBRT is limited by the poor soft-tissue visualisation of computed tomography imaging during radiation planning and treatment delivery.Magnetic resonance-guided techniques have been introduced to improve imaging quality,enabling treatment plan adaptation and re-optimisation before delivering each fraction.CONCLUSION Therefore,SBRT may lead to improved survival outcomes and safer toxicity profiles compared to conventional techniques,and the addition of magnetic resonance-guided techniques potentially allows dose escalation and conversion of unresectable tumours to operable cases.

Nuclear magnetic resonance for quantum computing： Techniques and recent achievements

Rapid developments in quantum information processing have been made, and remarkable achievements have been obtained in recent years, both in theory and experiments. Coherent control of nuclear spin dynamics is a powerful tool for the experimental implementation of quantum schemes in liquid and solid nuclear magnetic resonance （NMR） system, especially in liquid-state NMR. Compared with other quantum information processing systems, the NMR platform has the advantages such as the long coherence time, the precise manipulation, and well-developed quantum control techniques, which make it possible to accurately control a quantum system with up to 12-qubits. Extensive applications of liquid-state NMR spectroscopy in quantum information processing such as quantum communication, quantum computing, and quantum simulation have been thoroughly studied over half a century. This article introduces the general principles of NMR quantum information processing, and reviews the new-developed techniques. The review will also include the recent achievements of the experimental realization of quantum algorithms for machine learning, quantum simulations for high energy physics, and topological order in NMR. We also discuss the limitation and prospect of liquid-state NMR spectroscopy and the solid-state NMR systems as quantum computing in the article.

Magnetic resonance imaging-based deep learning model to predict multiple firings in double-stapled colorectal anastomosis

BACKGROUND Multiple linear stapler firings during double stapling technique(DST)after laparoscopic low anterior resection(LAR)are associated with an increased risk of anastomotic leakage(AL).However,it is difficult to predict preoperatively the need for multiple linear stapler cartridges during DST anastomosis.AIM To develop a deep learning model to predict multiple firings during DST anastomosis based on pelvic magnetic resonance imaging(MRI).METHODS We collected 9476 MR images from 328 mid-low rectal cancer patients undergoing LAR with DST anastomosis,which were randomly divided into a training set(n=260)and testing set(n=68).Binary logistic regression was adopted to create a clinical model using six factors.The sequence of fast spin-echo T2-weighted MRI of the entire pelvis was segmented and analyzed.Pure-image and clinical-image integrated deep learning models were constructed using the mask region-based convolutional neural network segmentation tool and three-dimensional convolutional networks.Sensitivity,specificity,accuracy,positive predictive value(PPV),and area under the receiver operating characteristic curve(AUC)was calculated for each model.RESULTS The prevalence of≥3 linear stapler cartridges was 17.7%(58/328).The prevalence of AL was statistically significantly higher in patients with≥3 cartridges compared to those with≤2 cartridges(25.0%vs 11.8%,P=0.018).Preoperative carcinoembryonic antigen level>5 ng/mL(OR=2.11,95%CI 1.08-4.12,P=0.028)and tumor size≥5 cm(OR=3.57,95%CI 1.61-7.89,P=0.002)were recognized as independent risk factors for use of≥3 linear stapler cartridges.Diagnostic performance was better with the integrated model(accuracy=94.1%,PPV=87.5%,and AUC=0.88)compared with the clinical model(accuracy=86.7%,PPV=38.9%,and AUC=0.72)and the image model(accuracy=91.2%,PPV=83.3%,and AUC=0.81).CONCLUSION MRI-based deep learning model can predict the use of≥3 linear stapler cartridges during DST anastomosis in laparoscopic LAR surgery.This model might help determine the best anastomosis strategy by avoiding DST when there is a high probability of the need for≥3 linear stapler cartridges.

Endovascular Application of Magnetic Resonance Double Mismatch Technique for Acute Anterior Circulation Large Vessel Occlusion with Cerebral Infarction in an Unknown Time Window

Objective:To investigate the clinical effects of applying the magnetic resonance double mismatch technique to endovascular treatment of acute anterior circulation,large vessel occlusion with cerebral infarction in an unknown time window.Methods:The research work was carried out in our hospital,the work was carried out from November 2018 to November 2019,the patients with acute anterior circulation large vessel occlusion with cerebral infarction who were treated in our hospital during this period,100 patients,50 patients with an unknown time window and 50 patients with definite time window were selected,and they were named as the experimental and control groups,given different examination methods,were given to investigate the clinical treatment effect.Results:Patients’data on HIHSS score before treatment,the incidence of intracranial hemorrhage and rate of Mrs≤2 rating after 90 days of treatment were not significantly different(P>0.05),which was not meaningful.The differences in data between the two groups concerning HIHSS scores were relatively significant before,and after treatment(P<0.05).Conclusion:The magnetic resonance double mismatch technique will be applied in the endovascular treatment of acute anterior circulation large vessel occlusion with cerebral infarction of unknown time window.

Epileptic brain network mechanisms and neuroimaging techniques for the brain network

Epilepsy can be defined as a dysfunction of the brain network,and each type of epilepsy involves different brain-network changes that are implicated diffe rently in the control and propagation of interictal or ictal discharges.Gaining more detailed information on brain network alterations can help us to further understand the mechanisms of epilepsy and pave the way for brain network-based precise therapeutic approaches in clinical practice.An increasing number of advanced neuroimaging techniques and electrophysiological techniques such as diffusion tensor imaging-based fiber tra ctography,diffusion kurtosis imaging-based fiber tractography,fiber ball imagingbased tra ctography,electroencephalography,functional magnetic resonance imaging,magnetoencephalography,positron emission tomography,molecular imaging,and functional ultrasound imaging have been extensively used to delineate epileptic networks.In this review,we summarize the relevant neuroimaging and neuroelectrophysiological techniques for assessing structural and functional brain networks in patients with epilepsy,and extensively analyze the imaging mechanisms,advantages,limitations,and clinical application ranges of each technique.A greater focus on emerging advanced technologies,new data analysis software,a combination of multiple techniques,and the construction of personalized virtual epilepsy models can provide a theoretical basis to better understand the brain network mechanisms of epilepsy and make surgical decisions.

Four-dimensional flow magnetic resonance imaging incirrhosis

Since its introduction in the 1970’s,magnetic resonance imaging(MRI)has become a standard imaging modality.With its broad and standardized application,it is firmly established in the clinical routine and an essential element in cardiovascular and abdominal imaging.In addition to sonography and computer tomography,MRI is a valuable tool for diagnosing cardiovascular and abdominal diseases,for determining disease severity,and for assessing therapeutic success.MRI techniques have improved over the last few decades,revealing not just morphologic information,but functional information about perfusion,diffusion and hemodynamics as well.Four-dimensional(4D)flow MRI,a time-resolved phase contrast-MRI with three-dimensional(3D)anatomic coverage and velocity encoding along all three flow directions has been used to comprehensively assess complex cardiovascular hemodynamics in multiple regions of the body.The technique enables visualization of 3D blood flow patterns and retrospective quantification of blood flow parameters in a region of interest.Over the last few years,4D flow MRI has been increasingly performed in the abdominal region.By applying different acceleration techniques,taking 4D flow MRI measurements has dropped to a reasonable scanning time of 8 to 12 min.These new developments have encouraged a growing number of patient studies in the literature validating the technique’s potential for enhanced evaluation of blood flow parameters within the liver’s complex vascular system.The purpose of this review article is to broaden our understanding of 4D flow MRI for the assessment of liver hemodynamics by providing insights into acquisition,data analysis,visualization and quantification.Furthermore,in this article we highlight its development,focussing on the clinical application of the technique.

General review of magnetic resonance elastography

Magnetic resonance elastography(MRE) is an innovative imaging technique for the non-invasive quantification of the biomechanical properties of soft tissues via the direct visualization of propagating shear waves in vivo using a modified phase-contrast magnetic resonance imaging(MRI) sequence. Fundamentally,MRE employs the same physical property that physicians utilize when performing manual palpation- that healthy and diseased tissues can be differentiated on the basis of widely differing mechanical stiffness. By performing "virtual palpation ",MRE is able to provide information that is beyond the capabilities of conventional morphologic imaging modalities. In an era of increasing adoption of multi-parametric imaging approaches for solving complex problems,MRE can be seamlessly incorporated into a standard MRI examination to provide a rapid,reliable and comprehensive imaging evaluation at a single patient appointment. Originally described by the Mayo Clinic in 1995,the technique represents the most accurate non-invasive method for the detection and staging of liver fibrosis and is currently performed in more than 100 centers worldwide. In this general review,the mechanical properties of soft tissues,principles of MRE,clinical applications of MRE in the liver and beyond,and limitations and future directions of this discipline-are discussed. Selected diagrams and images are provided for illustration.

Role of gadoxetic acid-enhanced liver magnetic resonance imaging in the evaluation of hepatocellular carcinoma after locoregional treatment

Locoregional treatments,as alternatives to surgery,play a key role in the management of hepatocellular carcinoma(HCC).Liver magnetic resonance imaging(MRI)enables a multiparametric assessment,going beyond the traditional dynamic computed tomography approach.Moreover,the use of hepatobiliary agents can improve diagnostic accuracy and are becoming important in the diagnosis and follow-up of HCC.However,the main challenge is to quickly identify classical responses to loco-regional treatments in order to determine the most suitable management strategy for each patient.The aim of this review is to provide a summary of the most common and uncommon liver MRI findings in patients who underwent loco-regional treatments for HCC,with a special focus on ablative therapies(radiofrequency,microwaves and cryoablation),transarterial chemoembolization,trans-arterial radio-embolization and stereotactic ablative radiotherapy techniques,considering the usefulness of gadoxetate disodium(Gd-EOB-DTPA)contrast agent.

Performance study of aluminum shielded room for ultra-low-field magnetic resonance imaging based on SQUID： Simulations and experiments

The aluminum shielded room has been an important part of ultra-low-field magnetic resonance imaging （ULF MRI） based on the superconducting quantum interference device （SQUID）. The shielded room is effective to attenuate the external radio-frequency field and keep the extremely sensitive detector, SQUID, working properly. A high-performance shielded room can increase the signal-to-noise ratio （SNR） and improve image quality. In this study, a circular coil with a diameter of 50 cm and a square coil with a side length of 2.0 m was used to simulate the magnetic fields from the nearby electric apparatuses and the distant environmental noise sources. The shielding effectivenesses （SE） of the shielded room with different thicknesses of aluminum sheets were calculated and simulated. A room using 6-mm-thick aluminum plates with a dimension of 1.5 m x 1.5 m x 2.0 m was then constructed. The SE was experimentally measured by using three-axis SQUID magnetometers, with tranisent magnetic field induced in the aluminum plates by the strong pre-polarization pulses. The results of the measured SE agreed with that from the simulation. In addition, the introduction of a 0.5-mm gap caused the obvious reduction of SE indicating the importance of door design. The nuclear magnetic resonance （NMR） signals of water at 5.9 kHz were measured in free space and in a shielded room, and the SNR was improved from 3 to 15. The simulation and experimental results will help us design an aluminum shielded room which satisfies the requirements for future ULF human brain imaging. Finally, the cancellation technique of the transient eddy current was tried, the simulation of the cancellation technique will lead us to finding an appropriate way to suppress the eddy current fields.

Progresses of Functional Magnetic Resonance Imaging Diagnosis in Breast Cancer

Breast cancer is the most common malignant tumor that threatens women’s health. Breast magnetic resonance imaging (MRI) is a commonly used method recommended for the diagnosis of breast cancer. Diffusion weighted imaging (DWI) and dynamic enhanced magnetic resonance imaging (DCE-MRI) are now widely used. At present, with the continuous advancement of magnetic resonance technology, Magnetic resonance spectroscopy (MRS), Perfusion weighted imaging (PWI), Positron emission tomography-magnetic resonance imaging (PET-MRI) and so on are gradually being used in clinical practice. Mammography imaging and imaging genomics are hot topics. This article will briefly introduce several functional magnetic resonance techniques and their latest applications.

Multicolor^(19)F magnetic resonance imaging:A promising medical technique for in vivo visualization of multiple biological targets

Driven by the needs of precision medicine,current imaging techniques are under continuous development to offer more accurate and comprehensive information beyond traditional macroscopic anatomical images.Multispectral color-coded(multicolor)^(19)F magnetic resonance imaging(MRI)is receiving increasing attention owing to its capability for visualizing quantitative and multiplexed molecular information during various biological processes.The chemical design and preparation of^(19)F probes lie at the core of multicolor^(19)F MRI since their performance dominates the accomplishment of this technique.Herein,the working principles of multicolor^(19)F MRI are briefly introduced.Recent progress on multicolor^(19)F MRI probes for simultaneous in vivo visualization of multiple biological targets is summarized.Finally,current challenges and potential solutions in this fast-developing field are discussed.

Improved neurological diagnoses and treatment strategies via automated human brain tissue segmentation from clinical magnetic resonance imaging

Objective Segmentation of medical images is a crucial process in various image analysis applications.Automated segmentation methods excel in accuracy when compared to manual segmentation in the context of medical image analysis.One of the essential phases in the quantitative analysis of the brain is automated brain tissue segmentation using clinically obtained magnetic resonance imaging(MRI)data.It allows for precise quantitative examination of the brain,which aids in diagnosis,identification,and classification of disorders.Consequently,the efficacy of the segmentation approach is crucial to disease diagnosis and treatment planning.Methods This study presented a hybrid optimization method for segmenting brain tissue in clinical MRI scans us-ing a fractional Henry horse herd gas optimization-based Shepard convolutional neural network(FrHHGO-based ShCNN).To segment the clinical brain MRI images into white matter(WM),grey matter(GM),and cerebrospinal fluid(CSF)tissues,the proposed framework was evaluated on the Lifespan Human Connectome Projects(HCP)database.The hybrid optimization algorithm,FrHHGO,integrates the fractional Henry gas optimization(FHGO)and horse herd optimization(HHO)algorithms.Training required 30 min,whereas testing and segmentation of brain tissues from an unseen image required an average of 12 s.Results Compared to the results obtained with no refinements,the Skull stripping refinement showed significant improvement.As the method included a preprocessing stage,it was flexible enough to enhance image quality,allowing for better results even with low-resolution input.Maximum precision of 93.2%,recall of 91.5%,Dice score of 91.1%,and F1-score of 90.5% were achieved using the proposed FrHHGO-based ShCNN,which was superior to all other approaches.

Imaging of the small bowel in Crohn's disease: A review of old and new techniques

The investigation of small bowel morphology is often mandatory in many patients with Crohn's disease. Traditional radiological techniques (small bowel enteroclysis and small bowel follow-through) have long been the only suitable methods for this purpose. In recent years, several alternative imaging techniques have been proposed. To review the most recent advances in imaging studies of the small bowel, with particular reference to their possible application in Crohn's disease, we conducted a complete review of the most important studies in which traditional and newer imaging methods were performed and compared in patients with Crohn's disease. Several radiological and endoscopic techniques are now available for the study of the small bowel; each of them is characterized by a distinct profile of favourable and unfavourable features. In some cases, they may also be used as complementary rather than alternative techniques. In everyday practice, the choice of the technique to be used stands upon its availability and a careful evaluation of diagnostic accuracy, clinical usefulness, safety and cost. The recent development ofinnovative imaging techniques has opened a new and exciting area in the exploration of the small bowel in Crohn's disease patients.

MRI迭代新技术在脑发育与脑损伤评估中的进展和前景

脑发育与脑损伤研究是认识发育规律并保障儿童健康发展的基础,MRI是脑发育与脑损伤评估的重要手段。近年来,儿科适宜的MRI技术不断迭代更新,尤其是人工智能的应用提升了MRI在儿科人群的适用性。本文主要论述了包括人工智能加速成像、运动伪影消除、图像畸变校正、儿科适宜的脑形态与功能量化分析等在内的MRI新技术与图像处理新方法,并简要论述了新技术在揭示脑发育规律与脑损伤病理生理机制方面的应用价值,同时指出了部分新技术在应用中存在的问题。期待本文能够为进一步拓展儿科适宜脑MRI技术的应用启发新角度,为儿童脑病早期评估工具的选择提供参考,希望更多的研究推动儿科适宜MRI新技术研发与临床应用,提升儿童脑病的诊疗水平。

基于总体最小二乘-旋转不变算法的地表核磁共振信号参数估计

在地表核磁共振(SNMR)找水系统中,根据SNMR信号的参数能够预估地下含水层的储水量、导电性以及孔隙结构等信息。然而在实际应用中探测现场采集的SNMR信号十分微弱,易受到环境噪声干扰,导致无法直接获取SNMR信号的参数。针对这一问题,该文提出基于总体最小二乘-旋转不变法(TLS-ESPRIT)的地表核磁共振信号参数估计方法。基于谐波噪声与SNMR信号的相似信号特征构成一个由多个正弦衰减信号叠加的混合信号模型,使用TLS-ESPRIT将混合信号参数提取问题转换为旋转不变矩阵的广义特征值求解,从而获得SNMR信号的拉莫尔频率和弛豫时间,并结合最小二乘法求得其初始振幅和相位。仿真信号和实测信号实验结果表明此方法能够估计出混有随机噪声和工频谐波噪声的SNMR信号的参数,相比传统的谐波建模方法,在参数提取精度上效果更好。

乳腺癌患者化疗后脑血流灌注异常的临床应用研究

目的应用磁共振成像中的动脉自旋标记(ASL)技术来探讨乳腺癌患者化疗后脑血流灌注变化及其与认知功能之间的相关性。方法前瞻性的收集43名自2020年1月至2022年12月经过手术病理证实的女性单侧乳腺癌患者(BC组),且所有患者在术后接受标准的化疗方案进行治疗。同时招募37名健康对照组(HC组),两组均采用西门子3.0T磁共振扫描仪进行常规头颅平扫及全脑ASL扫描,采用双样本t检验对各脑区脑血流量(CBF)值进行统计学分析。之后应用spearman相关性分析,探索存在血流灌注差异脑区的CBF值与神经量表之间的相关性。结果与HC组相比,BC组左侧小脑CrusII区、双侧颞中回CBF值降低,双侧豆状壳核CBF值增加(P<0.05,FWE校正)。相关性分析结果显示左侧小脑CrusII区、左侧颞中回、右侧颞中回CBF值与神经心理学量表MMSE呈正相关(r=0.429,P<0.01;r=0.413,P<0.01;r=0.405,P<0.01)。结论乳腺癌患者化疗后大脑存在多个脑区的脑血流灌注异常且存在与化疗相关的认知功能障碍。

特征追踪心脏MRI定量评估非梗阻性肥厚型心肌病左房功能的应用研究

目的:应用特征追踪心脏MRI(FT-cMRI)对非梗阻性肥厚型心肌病(NOHCM)患者进行左房应变分析来评估左心房功能,并探究NOHCM对左心结构和功能的影响。方法:回顾性分析2020年1月-2022年12月本院58例非梗阻性肥厚型心肌病患者(NOHCM组)和30例健康对照者(HC组)的临床和MRI资料。MRI扫描序列主要为单次激发FSE亮血序列,扫描平面包括两腔、四腔和短轴位。应用CVI42软件测量左房容积指数(LAVI)和左房整体功能参数,后者包括心肌储备功能参数[总应变(εs)、峰值正向应变率(SRs)、左房总射血分数(LATEF)]、导管功能参数[主动应变(εe)、峰值早期负向应变率(SRe)、左房被动射血分数(LAPEF)]和升压泵功能参数[被动应变(εa)、峰值晚期负向应变率(SRa)、左房主动射血分数(LAAEF)],以及左室的功能[左室射血分数(LVEF)、左室心输出量(LVCO)和左室心脏指数(LVCI)]和大小参数[左室最大室壁厚度(LVWT_(max))、左室心肌质量(LVM)、左室质量指数(LVMI)、左室舒张末期容积指数(LVEDVi)和左室收缩末期容积指数(LVESVi)]。采用两样本t检验、Mann-Whitney U检验等统计学方法比较两组间各项定量参数值的差异,并采用Pearson或Spearman相关系数分析左房功能参数与左室的结构和功能参数之间的相关性。结果:NOHCM组的LVWT_(max)、LVM、LVMI和LAVI值均显著高于HC组(P<0.05),NOHCM组的左房功能参数值(LATEF、LAPEF、LAAEF、εs、εe、εa,SRs、SRe和SRa)均显著低于HC组(P<0.05)。NOHCM组左室心肌不同肥厚部位的LVWT_(max)的差异有统计学意义(P<0.05),两组之间其它的左房、左室结构和功能参数值的差异无统计学意义(P>0.05)。左房大小正常的NOHCM患者的LATEF、LAPEF、εs、εe、SRs和SRe值均显著低于HC组(P<0.05),而LAAEF、εa和SRa值在两组之间的差异无统计学意义(P>0.05)。所有受试者的LATEF与εs、LAPEF与εe、LAAEF与εa之间均具有显著相关性(r>0.70)。结论:与健康对照组相比,NOHCM患者各时相左房功能均下降。在左房增大之前,左房的心肌储备和导管功能下降,而升压泵功能正常。各时相左房功能受损与左室的肥厚部位无显著相关性。各时相左房的LAEF与各项应变参数之间具有较强的相关性。

磁共振脂肪定量技术在肝脏肿瘤中的应用

体内器官的脂肪堆积会增加包括肝良性病变在内的多种疾病癌变的风险。近年来,脂肪性肝病越来越被认为是肝细胞癌的危险因素,与代谢相关脂肪性肝病相关的肝细胞癌已是全球日益增加的医疗负担。肝肿瘤瘤内及瘤周脂肪含量在肿瘤的诊断、鉴别、分级及预后等方面有一定价值。肝移植作为肝肿瘤治疗手段之一越来越受到重视,肝脏脂肪变性与肝移植术前评估及术后监测密切相关。除此之外,肿瘤治疗过程中所致肝损伤也与肝脏脂肪含量直接相关。因此,肝脏脂肪定量在肝脏肿瘤的发生发展、诊断治疗及预后评估中具有重要意义。本文综述了磁共振波谱成像(magnetic resonance spectroscopy,MRS)、化学位移成像(chemical shift imaging,CSI)以及多回波Dixon(包括IDEAL-IQ和mDixon-Quant)等MRI脂肪定量技术在肝脏肿瘤中的应用,旨在提供更精准定量肝脏脂肪的影像标志物,为肿瘤治疗方式的选择和疗效评估提供客观和科学的依据,用以帮助临床对肝脏肿瘤进行无创诊断及治疗评估。