Whole-Body Diffusion-Weighted and Proton Imaging: A Review of This Emerging Technology for Monitoring Metastatic Cancer

Jacobs, Michael A.; Pan, Li; Macura, Katarzyna J.

doi:10.1053/j.ro.2009.01.003

Cited by 24 publications

(23 citation statements)

References 82 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The ADC has been related to the state of tissue during the evolution of cerebral ischemia, 45,46,51 fibroid progression, 12,28 and tumor changes. [52][53][54][55][56][57] Since DWI/ADC mapping can detect changes within the water tissue at the earliest time points, this may provide a method of early indication of treated uterine fibroids using MRg-HIFUS.…”

Section: Discussionmentioning

confidence: 99%

Comparison between diffusion‐weighted imaging, ‐weighted, and postcontrast ‐weighted imaging after MR‐guided, high intensity, focused ultrasound treatment of uterine leiomyomata: Preliminary results

2010

Self Cite

View full text Add to dashboard Cite

Purpose:To investigate the comparison between diffusion-weighted imaging ͑DWI͒, T 2 -weighted imaging, ͑T 2 WI͒ and contrast T 1 -weighted imaging ͑cT 1 WI͒ in uterine leiomyoma following treatment by magnetic resonance imaging-guided, high intensity focused ultrasound surgery ͑MRg-HIFUS͒. Methods: Twenty one patients ͑45Ϯ 5 yrs͒ with clinical symptoms of uterine leiomyoma ͑fibroids͒ were treated by MRg-HIFUS using an integrated 1.5T MRI-HIFUS system. MRI parameters consisted of DWI, T 2 WI, and T 1 -weighted fast spoiled gradient echo before and after contrast. The post-MRg-HIFUS treatment volume in the fibroid was assessed by cT 1 WI and DWI. Trace apparent diffusion coefficient maps were constructed for quantitative analysis. The regions of the treated uterine tissue were defined by a semisupervised segmentation method called the "eigenimage filter," using both cT 1 WI and DWI. Signal-to-noise ratios were determined for the T 2 WI pretreatment images. Segmented regions were tested by a similarity index for congruence. Descriptive, regression, and Bland-Altman statistics were calculated. Results: All the patients exhibited heterogeneously increased DWI signal intensity localized in the treated fibroid regions and were colocalized with the cT 1 WI defined area. The mean pretreatment T 2 WI signal intensity ratios were T 2 WI/ muscle= 1.8Ϯ 0.7 and T 2 WI/ myometrium= 0.7Ϯ 0.4. The congruence between the regions was significant, with a similarity of 84% and a difference of 8% between the regions. Regression analyses of the cT 1 WI and DWI segmented treatment volumes were found to be significantly correlated ͑r 2 = 0.94, p Ͻ 0.05͒ with the linear equation, ͑cT 1 WI͒ = 1.1͑DWI͒ − 0.66. There is good agreement between the regions defined by cT1WI and DWI in most of the cases as shown from the Bland-Altman plots. Conclusions: Diffusion-weighted imaging exhibited excellent agreement, congruence, and correlation with the cT 1 WI-defined region of treatment in uterine fibroid. Therefore, DWI could be useful as an adjunct for assessing treatment of uterine fibroids by MRg-HIFUS.

show abstract

Section: Discussionmentioning

confidence: 99%

Comparison between diffusion‐weighted imaging, ‐weighted, and postcontrast ‐weighted imaging after MR‐guided, high intensity, focused ultrasound treatment of uterine leiomyomata: Preliminary results

2010

Self Cite

View full text Add to dashboard Cite

show abstract

“…In general, water movement can be restricted by compacted or proliferating cells, which enables the ADC to be a marker of tumor density or cellularity, such that, a highly cellular region will have low ADC and an area with low cellularity will exhibit a high ADC value. This phenomenon has been demonstrated in several studies to differentiate between benign and malignant lesions (26,27) and metastatic lesions (28). Moreover, recent reports have confirmed that the ADC is a valuable radiological marker of treatment response in breast cancer (29,30).…”

Section: Diffusion-weighted Imagingmentioning

confidence: 66%

“…Recent technological developments in MRI technology, including gradient systems, radiofrequency coils, and "rolling bed" methods have changed the paradigm from "local" to "whole-body" imaging; thus, whole-body MRI has been introduced as a new and much sought after concept (28,48,49). As noted above, recent studies have shown that DWI with ADC mapping can provide valuable information along with radiological imaging methods, and potentially provide a new functional metric for the detection and evaluation of treatment response in metastatic disease.…”

Section: Whole-body Multiparametric Mri and Pet/ct In Metastatic Diseasementioning

confidence: 99%

Multiparametric and Multimodality Functional Radiological Imaging for Breast Cancer Diagnosis and Early Treatment Response Assessment

et al. 2015

View full text Add to dashboard Cite

Breast cancer is the second leading cause of cancer death among US women, and the chance of a woman developing breast cancer sometime during her lifetime is one in eight. Early detection and diagnosis to allow appropriate locoregional and systemic treatment are key to improve the odds of surviving its diagnosis. Emerging data also suggest that different breast cancer subtypes (phenotypes) may respond differently to available adjuvant therapies. There is a growing understanding that not all patients benefit equally from systemic therapies, and therapeutic approaches are being increasingly personalized based on predictive biomarkers of clinical benefit. Optimal use of established and novel radiological imaging methods, such as magnetic resonance imaging and positron emission tomography, which have different biophysical mechanisms can simultaneously identify key functional parameters. These methods provide unique multiparametric radiological signatures of breast cancer, that will improve the accuracy of early diagnosis, help select appropriate therapies for early stage disease, and allow early assessment of therapeutic benefit.

show abstract

“…On the other side, changes in water diffusion in the bone marrow site due to metabolic changes not related to malignant lesions have also been documented (16,17). Indeed, the reason for signal intensity changes on diffusion weighted imaging is not exactly known (18). There is evidence that diffusion changes may be attributable to many factors, such as shifts of water from the extracellular space to the intracellular space, increased tortuosity of the diffusion pathways, restriction of the cellular membrane permeability, cellular density, and disruption of cellular membrane depolarization (19,20).…”

Section: Discussionmentioning

confidence: 99%

“…Among the possible alternatives to contrast studies, diffusion-weighted imaging with background body signal suppression (DWIBS) is a recently developed WB MR sequence based on DWI. DWIBS is a promising MR sequence that may quantitatively evaluate tissue cellularity by measuring random movements of water molecules using the apparent diffusion coefficient map, which may potentially serve as a radiological biomarker of tumor-related hypercellularity (8). This characteristic has suggested the possible clinical applicability of DWIBS in intra-individual disease monitoring during follow-up of MM patients (9,10).…”

Section: Introductionmentioning

confidence: 99%

Pre-treatment staging of multiple myeloma patients: comparison of whole-body diffusion weighted imaging with whole-body T1-weighted contrast-enhanced imaging

et al. 2015

View full text Add to dashboard Cite

Background: Multiple myeloma (MM) is a hematologic malignancy characterized by the clonal proliferation of plasma cells. Accurate staging is of pivotal importance in the management of MM. Advanced imaging techniques, such as magnetic resonance imaging (MRI), are increasingly used for the initial diagnosis and staging of MM. Purpose: To compare whole-body (WB) MR diffusion-weighted imaging with background body signal suppression (DWIBS) with (WB) MR fat-suppressed T1-weighted contrast-enhanced imaging (T1-CE) in the pre-treatment staging evaluation of multiple myeloma (MM) patients. Material and Methods: Thirty-six patients with MM were included in the study. T1-CE and DWIBS were performed using a 3 T scanner. The Durie-Salmon plus staging system was used. Kappa statistics was used to assess agreement. Results: For all MM stages good to very good agreement was found for both T1-CE and DWIBS. The unweighted kappa statistic indicated a moderate, good and very good agreement between T1-CE and DWIBS for stages I, II, and III, respectively. In particular, in 67% of patients the MM staging according to T1-CE was not different from DWIBS. In the remaining 33% of patients, the MM stage obtained with T1-CE was lower than that provided by DWIBS. Conclusion: DWIBS and T1-CE were concordant in the majority of patients. In a minority of cases DWIBS evidenced areas of water restriction that did not correspond to contrast enhancement areas. Studies monitoring therapeutic response in relation to tumour burden and aggressiveness should be performed to assess the clinical relevance of DWIBS findings.

show abstract

Whole-Body Diffusion-Weighted and Proton Imaging: A Review of This Emerging Technology for Monitoring Metastatic Cancer

Cited by 24 publications

References 82 publications

Comparison between diffusion‐weighted imaging, ‐weighted, and postcontrast ‐weighted imaging after MR‐guided, high intensity, focused ultrasound treatment of uterine leiomyomata: Preliminary results

Comparison between diffusion‐weighted imaging, ‐weighted, and postcontrast ‐weighted imaging after MR‐guided, high intensity, focused ultrasound treatment of uterine leiomyomata: Preliminary results

Multiparametric and Multimodality Functional Radiological Imaging for Breast Cancer Diagnosis and Early Treatment Response Assessment

Pre-treatment staging of multiple myeloma patients: comparison of whole-body diffusion weighted imaging with whole-body T1-weighted contrast-enhanced imaging

Contact Info

Product

Resources

About