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Biomarkers, Prognosis, and Prediction Factors
Chapter by: Reig, Beatriu; Moy, Linda; Sigmund, Eric E.; Heacock, Laura
in: Diffusion MRI of the Breast by
[S.l.] : Elsevier, 2022
pp. 49-70
ISBN: 9780323811026
CID: 5445962
IVIM and Non-Gaussian DWI of the Breast
Chapter by: Iima, Mami; Thakur, Sunitha B.; Jerome, Neil Peter; Honda, Maya; Kataoka, Masako; Bathen, Tone Frost; Sigmund, Eric E.
in: Diffusion MRI of the Breast by
[S.l.] : Elsevier, 2022
pp. 116-143
ISBN: 9780323811026
CID: 5445952
Diffusion Tensor Imaging (DTI) of the Breast
Chapter by: Sigmund, Eric E.; Furman-Haran, Edna; Baltzer, Pascal A.T.; Partridge, Savannah C.
in: Diffusion MRI of the Breast by
[S.l.] : Elsevier, 2022
pp. 144-161
ISBN: 9780323811026
CID: 5445942
Geometric Distortion Correction of Renal Diffusion Tensor Imaging Using the Reversed Gradient Method
Lim, Ruth P; Lim, Jeremy C; Teruel, Jose R; Botterill, Elissa; Seah, Jas-Mine; Farquharson, Shawna; Ekinci, Elif I; Sigmund, Eric E
ABSTRACT/UNASSIGNED:Renal echo planar diffusion tensor imaging (DTI) has clinical potential but suffers from geometric distortion. We evaluated feasibility of reversed gradient distortion correction in 10 diabetic patients and 6 volunteers. Renal area, apparent diffusion coefficient, fractional anisotropy, and tensor eigenvalues were measured on uncorrected and distortion-corrected DTI. Corrected DTI correlated better than uncorrected DTI (r = 0.904 vs 0.840, P = 0.002) with reference anatomic T2-weighted imaging, with no significant difference in DTI metrics.
PMID: 33661149
ISSN: 1532-3145
CID: 4801752
Diffusion MRI of the breast: Current status and future directions
Iima, Mami; Honda, Maya; Sigmund, Eric E; Ohno Kishimoto, Ayami; Kataoka, Masako; Togashi, Kaori
Diffusion-weighted imaging (DWI) is increasingly being incorporated into routine breast MRI protocols in many institutions worldwide, and there are abundant breast DWI indications ranging from lesion detection and distinguishing malignant from benign tumors to assessing prognostic biomarkers of breast cancer and predicting treatment response. DWI has the potential to serve as a noncontrast MR screening method. Beyond apparent diffusion coefficient (ADC) mapping, which is a commonly used quantitative DWI measure, advanced DWI models such as intravoxel incoherent motion (IVIM), non-Gaussian diffusion MRI, and diffusion tensor imaging (DTI) are extensively exploited in this field, allowing the characterization of tissue perfusion and architecture and improving diagnostic accuracy without the use of contrast agents. This review will give a summary of the clinical literature along with future directions. Level of Evidence: 5 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019.
PMID: 31520518
ISSN: 1522-2586
CID: 4088672
Diffusion-weighted imaging of the breast-a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group
Baltzer, Pascal; Mann, Ritse M; Iima, Mami; Sigmund, Eric E; Clauser, Paola; Gilbert, Fiona J; Martincich, Laura; Partridge, Savannah C; Patterson, Andrew; Pinker, Katja; Thibault, Fabienne; Camps-Herrero, Julia; Le Bihan, Denis
The European Society of Breast Radiology (EUSOBI) established an International Breast DWI working group. The working group consists of clinical breast MRI experts, MRI physicists, and representatives from large vendors of MRI equipment, invited based upon proven expertise in breast MRI and/or in particular breast DWI, representing 25 sites from 16 countries. The aims of the working group are (a) to promote the use of breast DWI into clinical practice by issuing consensus statements and initiate collaborative research where appropriate; (b) to define necessary standards and provide practical guidance for clinical application of breast DWI; (c) to develop a standardized and translatable multisite multivendor quality assurance protocol, especially for multisite research studies; (d) to find consensus on optimal methods for image processing/analysis, visualization, and interpretation; and (e) to work collaboratively with system vendors to improve breast DWI sequences. First consensus recommendations, presented in this paper, include acquisition parameters for standard breast DWI sequences including specifications of b values, fat saturation, spatial resolution, and repetition and echo times. To describe lesions in an objective way, levels of diffusion restriction/hindrance in the breast have been defined based on the published literature on breast DWI. The use of a small ROI placed on the darkest part of the lesion on the ADC map, avoiding necrotic, noisy or non-enhancing lesion voxels is currently recommended. The working group emphasizes the need for standardization and quality assurance before ADC thresholds are applied. The working group encourages further research in advanced diffusion techniques and tailored DWI strategies for specific indications. Key Points • The working group considers breast DWI an essential part of a multiparametric breast MRI protocol and encourages its use. • Basic requirements for routine clinical application of breast DWI are provided, including recommendations on b values, fat saturation, spatial resolution, and other sequence parameters. • Diffusion levels in breast lesions are defined based on meta-analysis data and methods to obtain a reliable ADC value are detailed.
PMID: 31786616
ISSN: 1432-1084
CID: 4217752
Technical recommendations for clinical translation of renal MRI: a consensus project of the Cooperation in Science and Technology Action PARENCHIMA
Mendichovszky, Iosif; Pullens, Pim; Dekkers, Ilona; Nery, Fabio; Bane, Octavia; Pohlmann, Andreas; de Boer, Anneloes; Ljimani, Alexandra; Odudu, Aghogho; Buchanan, Charlotte; Sharma, Kanishka; Laustsen, Christoffer; Harteveld, Anita; Golay, Xavier; Pedrosa, Ivan; Alsop, David; Fain, Sean; Caroli, Anna; Prasad, Pottumarthi; Francis, Susan; Sigmund, Eric; Fernández-Seara, Maria; Sourbron, Steven
PURPOSE/OBJECTIVE:The potential of renal MRI biomarkers has been increasingly recognised, but clinical translation requires more standardisation. The PARENCHIMA consensus project aims to develop and apply a process for generating technical recommendations on renal MRI. METHODS:A task force was formed in July 2018 focused on five methods. A draft process for attaining consensus was distributed publicly for consultation and finalised at an open meeting (Prague, October 2018). Four expert panels completed surveys between October 2018 and March 2019, discussed results and refined the surveys at a face-to-face meeting (Aarhus, March 2019) and completed a second round (May 2019). RESULTS:A seven-stage process was defined: (1) formation of expert panels; (2) definition of the context of use; (3) literature review; (4) collection and comparison of MRI protocols; (5) consensus generation by an approximate Delphi method; (6) reporting of results in vendor-neutral and vendor-specific terms; (7) ongoing review and updating. Application of the process resulted in 166 consensus statements. CONCLUSION/CONCLUSIONS:The process generated meaningful technical recommendations across very different MRI methods, while allowing for improvement and refinement as open issues are resolved. The results are likely to be widely supported by the renal MRI community and thereby promote more harmonisation.
PMID: 31628564
ISSN: 1352-8661
CID: 4140832
Consensus-based technical recommendations for clinical translation of renal diffusion-weighted MRI
Ljimani, Alexandra; Caroli, Anna; Laustsen, Christoffer; Francis, Susan; Mendichovszky, Iosif Alexandru; Bane, Octavia; Nery, Fabio; Sharma, Kanishka; Pohlmann, Andreas; Dekkers, Ilona A; Vallee, Jean-Paul; Derlin, Katja; Notohamiprodjo, Mike; Lim, Ruth P; Palmucci, Stefano; Serai, Suraj D; Periquito, Joao; Wang, Zhen Jane; Froeling, Martijn; Thoeny, Harriet C; Prasad, Pottumarthi; Schneider, Moritz; Niendorf, Thoralf; Pullens, Pim; Sourbron, Steven; Sigmund, Eric E
OBJECTIVES/OBJECTIVE:Standardization is an important milestone in the validation of DWI-based parameters as imaging biomarkers for renal disease. Here, we propose technical recommendations on three variants of renal DWI, monoexponential DWI, IVIM and DTI, as well as associated MRI biomarkers (ADC, D, D*, f, FA and MD) to aid ongoing international efforts on methodological harmonization. MATERIALS AND METHODS/METHODS:Reported DWI biomarkers from 194 prior renal DWI studies were extracted and Pearson correlations between diffusion biomarkers and protocol parameters were computed. Based on the literature review, surveys were designed for the consensus building. Survey data were collected via Delphi consensus process on renal DWI preparation, acquisition, analysis, and reporting. Consensus was defined as ≥ 75% agreement. RESULTS:Correlations were observed between reported diffusion biomarkers and protocol parameters. Out of 87 survey questions, 57 achieved consensus resolution, while many of the remaining questions were resolved by preference (65-74% agreement). Summary of the literature and survey data as well as recommendations for the preparation, acquisition, processing and reporting of renal DWI were provided. DISCUSSION/CONCLUSIONS:The consensus-based technical recommendations for renal DWI aim to facilitate inter-site harmonization and increase clinical impact of the technique on a larger scale by setting a framework for acquisition protocols for future renal DWI studies. We anticipate an iterative process with continuous updating of the recommendations according to progress in the field.
PMID: 31676990
ISSN: 1352-8661
CID: 4171852
Effect of intravoxel incoherent motion on diffusion parameters in normal brain
Vieni, Casey; Ades-Aron, Benjamin; Conti, Bettina; Sigmund, Eric E; Riviello, Peter; Shepherd, Timothy M; Lui, Yvonne W; Novikov, Dmitry S; Fieremans, Els
At very low diffusion weighting the diffusion MRI signal is affected by intravoxel incoherent motion (IVIM) caused by dephasing of magnetization due to incoherent blood flow in capillaries or other sources of microcirculation. While IVIM measurements at low diffusion weightings have been frequently used to investigate perfusion in the body as well as in malignant tissue, the effect and origin of IVIM in normal brain tissue is not completely established. We investigated the IVIM effect on the brain diffusion MRI signal in a cohort of 137 radiologically-normal patients (62 male; mean age = 50.2 ± 17.8, range = 18 to 94). We compared the diffusion tensor parameters estimated from a mono-exponential fit at b = 0 and 1000 s/mm2 versus at b = 250 and 1000 s/mm2. The asymptotic fitting method allowed for quantitative assessment of the IVIM signal fraction f* in specific brain tissue and regions. Our results show a mean (median) percent difference in the mean diffusivity of about 4.5 (4.9)% in white matter (WM), about 7.8 (8.7)% in cortical gray matter (GM), and 4.3 (4.2)% in thalamus. Corresponding perfusion fraction f* was estimated to be 0.033 (0.032) in WM, 0.066 (0.065) in cortical GM, and 0.033 (0.030) in the thalamus. The effect of f* with respect to age was found to be significant in cortical GM (Pearson correlation Ï = 0.35, p = 3*10-5) and the thalamus (Pearson correlation Ï = 0.20, p = 0.022) with an average increase in f* of 5.17*10-4/year and 3.61*10-4/year, respectively. Significant correlations between f* and age were not observed for WM, and corollary analysis revealed no effect of gender on f*. Possible origins of the IVIM effect in normal brain tissue are discussed.
PMID: 31580945
ISSN: 1095-9572
CID: 4116382
Diffusion-weighted Imaging of Prostate Cancer: Revisiting Occam's Razor [Comment]
Sigmund, Eric E; Rosenkrantz, Andrew B
PMID: 30942671
ISSN: 1527-1315
CID: 3858912