首页期刊导航|Journal of magnetic resonance imaging
期刊信息/Journal information
Journal of magnetic resonance imaging
Society for Magnetic Resonance Imaging
Journal of magnetic resonance imaging

Society for Magnetic Resonance Imaging

1053-1807

Journal of magnetic resonance imaging/Journal Journal of magnetic resonance imagingSCIISTP
正式出版
收录年代

    Issue Information

    10页

    Advances in the Understanding of the Complex Role of Venous Sinus Stenosis in Idiopathic Intracranial Hypertension

    Kexin ZhaoWenjing GuChunmei LiuDerui Kong...
    10页
    查看更多>>摘要:Idiopathic intracranial hypertension (IIH) is a disorder characterized by elevated intracranial pressure (ICP) that predominantly affects young obese women. IIH is a diagnosis of exclusion. That is, if increased ICP is suspected, magnetic resonance imaging and magnetic resonance venography of the brain are recommended to exclude secondary causes. Imaging findings, such as empty sella, orbital findings, meningocele, and encephalocele, are not diagnostic of ICP, nor does their absence exclude ICP either. Therefore, venous manometry is recommended as the gold standard for evaluation, regardless of previous anatomic imaging results. Venous manometry is an invasive examination that is frequently applied to derive physiologic information concerning the nature of the pressure gradient. However, the pathogenesis of IIH has not been fully elucidated. The presence of venous sinus stenosis in a subset of patients has provided some support for the potential mechanisms underlying this condition. Hence, this review provides an up‐to‐date discussion on the potential pathogenic mechanisms of IIH with a special focus on venous sinus stenosis. Level of Evidence 1 Technical Efficacy Stage 2

    Magnetic Resonance Imaging as an Alternative to Contrast‐Enhanced Computed Tomography to Mitigate Iodinated Contrast Shortages in the United States: Recommendations From the International Society for Magnetic Resonance in Medicine

    Scott B. ReederChristopher P. HessGreg ZaharchukLinda Moy...
    2页

    Erratum

    1页

    A Nomogram of Combining IVIM‐DWI and MRI Radiomics From the Primary Lesion of Rectal Adenocarcinoma to Assess Nonenlarged Lymph Node Metastasis Preoperatively

    Haodong JiaXueyan JiangKaiyue ZhangJin Shang...
    10页
    查看更多>>摘要:Background Lymph node (LN) staging plays an important role in treatment decision‐making. Current problem is that preoperative detection of LN involvement is always highly challenging for radiologists. Purpose To explore the value of the nomogram model combining intravoxel incoherent motion diffusion‐weighted imaging (IVIM‐DWI) and radiomics features from the primary lesion of rectal adenocarcinoma in assessing the non‐enlarged lymph node metastasis (N‐LNM) preoperatively. Study Type Retrospective. Population A total of 126 patients (43% female) comprising a training group (n?=?87) and a validation group (n?=?39) with pathologically confirmed rectal adenocarcinoma. Field Strength/Sequence A 3.0?Tesla (T); T2?weighted imaging (T2WI) with fast spin‐echo (FSE) sequence; IVIM‐DWI spin‐echo echo‐planar imaging sequence. Assessment Based on pathological analysis of the surgical specimen, patients were classified into negative LN (LN?) and positive LN (LN+) groups. Apparent diffusion coefficient (ADC), diffusion coefficient (D), pseudo diffusion coefficient (D*) and microvascular volume fraction (f) values of primary lesion of rectal adenocarcinoma were measured. Three‐dimensional (3D) radiomics features were measured on T2WI and IVIM‐DWI. A nomogram model including IVIM‐DWI and radiomics features was developed. Statistical Tests General_univariate_analysis and multivariate logistic regression were used for radiomics features selection. The performance of the nomogram was assessed by the receiver operating characteristic (ROC) curve, calibration, and decision curve analysis (DCA). Results The LN+ group had a significantly lower D* value ([13.20?±?13.66 vs. 23.25?±?18.71]?×?10?3?mm2/sec) and a higher f value (0.43?±?0.12 vs. 0.34?±?0.10) than the LN? group in the training cohort. The nomogram model combined D*, f, and radiomics features had a better evaluated performance (AUC?=?0.864) than any other model in the training cohort. Date Conclusion The nomogram model including IVIM‐DWI and MRI radiomics features in the primary lesion of rectal adenocarcinoma was associated with the N‐LNM. Evidence Level 4 Technical Efficacy Stage 2

    Repeatability and Reproducibility Assessment of the Apparent Diffusion Coefficient in the Prostate: A Trial of the ECOG‐ACRIN Research Group (ACRIN 6701)

    Michael A. BossBradley S. SnyderEunhee KimDena Flamini...
    12页
    查看更多>>摘要:Background Uncertainty regarding the reproducibility of the apparent diffusion coefficient (ADC) hampers the use of quantitative diffusion‐weighted imaging (DWI) in evaluation of the prostate with magnetic resonance imaging MRI. The quantitative imaging biomarkers alliance (QIBA) profile for quantitative DWI claims a within‐subject coefficient of variation (wCV) for prostate lesion ADC of 0.17. Improved understanding of ADC reproducibility would aid the use of quantitative diffusion in prostate MRI evaluation. Purpose Evaluation of the repeatability (same‐day) and reproducibility (multi‐day) of whole‐prostate and focal‐lesion ADC assessment in a multi‐site setting. Study Type Prospective multi‐institutional. Subjects Twenty‐nine males, ages 53 to 80 (median 63) years, following diagnosis of prostate cancer, 10 with focal lesions. Field Strength/Sequence 3T, single‐shot spin‐echo diffusion‐weighted echo‐planar sequence with four b‐values. Assessment Sites qualified for the study using an ice‐water phantom with known ADC. Readers performed DWI analyses at visit 1 (“V1”) and visit 2 (“V2,” 2–14?days after V1), where V2 comprised scans before (“V2pre”) and after (“V2post”) a “coffee‐break” interval with subject removal and repositioning. A single reader segmented the whole prostate. Two readers separately placed region‐of‐interests for focal lesions. Statistical Tests Reproducibility and repeatability coefficients for whole prostate and focal lesions derived from median pixel ADC. We estimated the wCV and 95% confidence interval using a variance stabilizing transformation and assessed interreader reliability of focal lesion ADC using the intraclass correlation coefficient (ICC). Results The ADC biases from b0–b600 and b0–b800 phantom scans averaged 1.32% and 1.44%, respectively; mean b‐value dependence was 0.188%. Repeatability and reproducibility of whole prostate median pixel ADC both yielded wCVs of 0.033 (N?=?29). In 10 subjects with an evaluable focal lesion, the individual reader wCVs were 0.148 and 0.074 (repeatability) and 0.137 and 0.078 (reproducibility). All time points demonstrated good to excellent interreader reliability for focal lesion ADC (ICCV1?=?0.89; ICCV2pre?=?0.76; ICCV2post?=?0.94). Data Conclusion This study met the QIBA claim for prostate ADC. Test–retest repeatability and multi‐day reproducibility were largely equivalent. Interreader reliability for focal lesion ADC was high across time points. Level of Evidence 1 Technical Efficacy Stage 2 TOC Category Pelvis

    Evaluating the Impact of Peer Review on the Completeness of Reporting in Imaging Diagnostic Test Accuracy Research

    Sakib KaziRobert A. FrankJean‐Paul SalamehNicholas Fabiano...
    11页
    查看更多>>摘要:Background Despite the nearly ubiquitous reported use of peer review among reputable medical journals, there is limited evidence to support the use of peer review to improve the quality of biomedical research and in particular, imaging diagnostic test accuracy (DTA) research. Purpose To evaluate whether peer review of DTA studies published by imaging journals is associated with changes in completeness of reporting, transparency for risk of bias assessment, and spin. Study Type Retrospective cross‐sectional study. Study Sample Cross‐sectional study of articles published in Journal of Magnetic Resonance Imaging (JMRI), Canadian Association of Radiologists Journal (CARJ), and European Radiology (EuRad) before March 31, 2020. Assessment Initial submitted and final versions of manuscripts were evaluated for completeness of reporting using the Standards for Reporting Diagnostic Accuracy Studies (STARD) 2015 and STARD for Abstracts guidelines, transparency of reporting for risk of bias assessment based on Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS‐2), and actual and potential spin using modified published criteria. Statistical Tests Two‐tailed paired t‐tests and paired Wilcoxon signed‐rank tests were used for comparisons. A P value <0.05 was considered to be statistically significant. Results We included 84 diagnostic accuracy studies accepted by three journals between 2014 and 2020 (JMRI?=?30, CARJ?=?23, and EuRad?=?31) of the 692 which were screened. Completeness of reporting according to STARD 2015 increased significantly between initial submissions and final accepted versions (average reported items: 16.67 vs. 17.47, change of 0.80 [95% confidence interval 0.25–1.17]). No significant difference was found for the reporting of STARD for Abstracts (5.28 vs. 5.25, change of ?0.03 [?0.15 to 0.11], P?=?0.74), QUADAS‐2 (6.08 vs. 6.11, change of 0.03 [?1.00 to 0.50], P?=?0.92), actual “spin” (2.36 vs. 2.40, change of 0.04 [0.00 to 1.00], P?=?0.39) or potential “spin” (2.93 vs. 2.81, change of ?0.12 [?1.00 to 0.00], P?=?0.23) practices. Conclusion Peer review is associated with a marginal improvement in completeness of reporting in published imaging DTA studies, but not with improvement in transparency for risk of bias assessment or reduction in spin. Level of Evidence 3 Technical Efficacy Stage 1

    Readout‐Segmented Echo‐Planar Diffusion‐Weighted MR Imaging Improves the Differentiation of Breast Cancer Receptor Statuses Compared With Conventional Diffusion‐Weighted Imaging

    Minghao ZhongZhiqi YangXiaofeng ChenRuibin Huang...
    9页
    查看更多>>摘要:Background Readout‐segmented echo‐planar diffusion‐weighted imaging (RS‐EPI) can improve image quality and signal‐to‐noise ratio, the resulting apparent diffusion coefficient (ADC) value acts as a more sensitive biomarker to characterize tumors. However, data regarding the differentiation of breast cancer (BC) receptor statuses using RS‐EPI are limited. Purpose To determine whether RS‐EPI improves the differentiation of receptor statuses compared with conventional single‐shot (SS) EPI in breast MRI. Study Type Retrospective. Population A total of 151?BC women with the mean age of 50.6?years. Field strength/Sequence A 3?T/ RS‐EPI and SS‐EPI. Assessment The ADCs of the lesion and normal background tissue from the two sequences were collected by two radiologists with 15?years of experience working of breast MRI (M.H.Z. and X.F.C.), and a normalized ADC was calculated by dividing the mean ADC value of the lesion by the mean ADC value of the normal background tissue. Statistical Tests Agreement between the ADC measurements from the two sequences was assessed using the Pearson correlation coefficient and Bland–Altman plots. One‐way analysis of variance, Kruskal–Wallis test, and median difference were used to compare the ADC measurements for all lesions and different receptor statuses. A P value less than 0.05 indicated a significant result. Results The ADC measurements of all lesions and normal background tissues were significantly higher on RS‐EPI than on SS‐EPI (1.82?±?0.33 vs. 1.55?±?0.30 and 0.83?±?0.11 vs. 0.79?±?0.10). The normalized ADC was lower on RS‐EPI than on SS‐EPI (0.47?±?0.11 vs. 0.53?±?0.12, a median difference of ?0.04 [95% CI: ?0.256 to 0.111]). For both diffusion methods, only the ADC measurement of RS‐EPI was higher for human epidermal growth factor receptor‐2 (HER‐2)‐positive tumors than for HER‐2‐negative tumors (0.87?±?0.10 vs. 0.81?±?0.11), and this measurement was associated with HER‐2 positive status (adjusted odds ratio [OR]?=?654.4); however, similar results were not observed for the ADC measurement of SS‐EPI (0.80?±?0.10 vs. 0.78?±?0.11 with P?=?0.199 and adjusted OR?=?0.21 with P?=?0.464, respectively). Data Conclusion RS‐EPI can improve the distinction between HER‐2‐positive and HER‐2‐negative breast cancer, complementing the clinical application of diffusion imaging. Evidence Level 3 Technical Efficacy Stage 1

    Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using CNN Based on Multiparametric MRI

    Zijian WangHang SunJing LiJing Chen...
    10页
    查看更多>>摘要:Background Multiparametric magnetic resonance imaging (MRI) is widely used in breast cancer screening. Accurate prediction of the axillary lymph nodes metastasis (ALNM) is essential for breast cancer surgery and treatment. However, there is no mature and effective discerning method for ALNM based on multiparametric MRI. Purpose To evaluate the ALNM using T1‐weighted imaging (T1WI), T2‐weighted imaging (T2WI), and diffusion‐weighted imaging (DWI) sequences, respectively, and construct a quantitative ALNM discerning model of integrated multiparametric MRI. Study Type Retrospective. Population Three‐hundred forty‐eight breast cancer patients, 163 with ALNM (99.39% females), and 185 without ALNM (100% females). The dataset was randomly divided into the training set (315 cases) and the testing set (33 cases). Field Strength/Sequence 1.5?T; T1WI (VIBRANT), T2WI (FSE), and DWI (echo planar imaging [EPI]). Assessment The lesion region of interest images were cropped and sent to a pretrained ResNet50 network. Then, the results of different sequences were sent to a classifier for ensemble learning to construct the ALNM model of multiparametric MRI. Statistical Tests Performance indicators such as accuracy, the receiver operating characteristic (ROC) curve, and the area under the ROC curve (AUC) were calculated. Student's t‐test, chi‐square test, Fisher's exact test, and Delong test were performed, and P?<?0.05 was considered statistically significant. Results T2WI performed the best among the three sequences, and achieved the accuracy and AUC of 0.933/0.989 in the testing set. Compared to T1WI with the accuracy and AUC of 0.691/0.806, the increase is significant. While compared to DWI with the accuracy and AUC of 0.800/0.910, the improvement is not significant (P?=?0.126). After integrating three sequences, the accuracy and AUC improved to 0.970 and 0.996. Data Conclusion T2WI performed better than DWI and T1WI in discerning ALNM in this breast cancer dataset. The proposed quantitative model of integrated multiparametric MRI could effectively help the ALNM diagnosis. Level of Evidence 1 Technical Efficacy Stage 2

    Editorial for “Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using CNN Based on Multiparametric MRI”

    Folk W. NarongritJoseph V. Rispoli
    2页