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Published online Apr 7. A Feasibility Study Matthew D.
Blackledge1 David J. Collins1 Nina Tunariu1 Matthew R. Orton1 Anwar R. Padhani2 Martin O. Padhani Find articles by Anwar R. The authors have declared that no competing interests exist. Conceived and designed the experiments: Received Oct 14; Accepted Feb This article has been cited by other articles in PMC.
Abstract We describe our semi-automatic segmentation of whole-body diffusion-weighted MRI WBDWI using a Markov random field MRF model to derive tumor total diffusion volume tDV and associated global apparent diffusion coefficient gADC ; and demonstrate the feasibility of using these indices for assessing tumor burden and response to treatment in patients with bone metastases.
WBDWI was performed on eleven patients diagnosed with bone metastases from breast and prostate cancers before and after anti-cancer therapies. Semi-automatic segmentation incorporating a MRF model was performed in all patients below the C4 vertebra by an experienced radiologist with over eight years of clinical experience in body DWI.
Changes in tDV and gADC distributions were compared with overall response determined by all imaging, tumor markers and clinical findings at serial follow up. The segmentation technique was possible in all patients although erroneous volumes of interest were generated in one patient because of poor fat suppression in the pelvis, requiring manual correction.
Semi-automatic segmentation of WBDWI is feasible for metastatic bone disease in this pilot cohort of 11 patients, and could be used to quantify tumor total diffusion volume and median global ADC for assessing response to treatment.
Introduction The confident detection of metastatic bone disease and the assessment of treatment response of bone disease remains one of the major unfulfilled needs in oncology.
However, recent studies using whole body diffusion-weighted MR imaging WBDWI have shown high diagnostic accuracy in detecting metastatic bone disease in patients with non-small cell lung cancer, malignant melanoma and breast cancers .
There is also compelling evidence that the apparent diffusion coefficient derived from WBDWI provides a potential quantitative response biomarker that reflects tissue cellularity and has been shown to increase in responders to a range of anti-tumor treatments .
It employs axial fat-suppressed diffusion-weighted MRI acquired at multiple anatomical stations using high diffusion sensitizing gradients b-values. Due to the combination of the relatively low diffusion rates and high T2 relaxation time of water in tumor tissues, metastases typically appear hyper-intense compared with normal background tissue, thus providing excellent contrast for disease visualization.
At high b-values e. The resulting high lesion-to-background ratio facilitates segmentation of lesions to provide estimates of total tumor diffusion volumes tDV and the associated global median Apparent Diffusion Coefficient gADC.
By performing a similar segmentation after treatment, changes in tDV and gADC may be used to assess the treatment response of metastatic bone disease, thus providing two quantitative metrics from a single radiologic investigation. Commercial software that enables radiologists to manually define or region-grow individual Volumes Of Interest VOI is beginning to emerge.
However, in patients with metastatic bone disease, the number of metastases can be large, making it impractical to use such software to evaluate multiple lesions.
Our approach employs a recently developed region-growing technique  to remove unwanted signal from background using cDWI and then applies an advanced thresholding algorithm using a Markov random field model to extract VOIs from multiple lesions across the body.
In this manuscript, we describe our semi-automatic segmentation of WBDWI to derive tumor diffusion volumes tDV and the associated global median ADC gADC ; and demonstrate the feasibility of using these indices for assessing tumor response to treatment in patients with bone metastases.
Materials and Methods Ethics statement Patients gave written informed consent and the Research Ethics Committee of the Royal Marsden Hospital approved the research study. Study population Imaging from eleven consecutive patients with metastatic bone disease who underwent clinical WBDWI before and after chemotherapy was evaluated: Further details of these patients including treatment type are shown in Table 1.
The inclusion criteria were: Patients with claustrophobia or contraindications to MRI examinations were not included in the study. Table 1 Clinical details of the patient cohort included in the study.To investigate the effect of fat infiltration on the apparent diffusion coefficient (ADC) of liver, and assess the relationship between ADC and hepatic fat fraction (HFF).
MRI scans of Triglyceride signal contained in peaks near the water peak remain unsuppressed by conventional fat suppression techniques used in diffusion-weighted imaging (DWI). In this work we investigated the dependence of the apparent diffusion coefficient (ADC) on liver fat content and whether it is.
Promotional Article Monitoring. Register your specific details and specific drugs of interest and we will match the information you provide to articles from our extensive database and email PDF copies to . Abstract. The fibromatoses are a group of benign fibroblastic proliferations that vary from benign to intermediate in biological behavior.
This article will discuss imaging characteristics and patient demographics of the adult type superficial (fascial) and deep (musculoaponeurotic) fibromatoses. Magnetic resonance imaging (MRI) is a medical imaging technique used in radiology to form pictures of the anatomy and the physiological processes of the body in both health and disease.
MRI scanners use strong magnetic fields, magnetic field gradients, and radio waves to generate images of the organs in the body.
MRI does not involve X-rays or the use of ionizing radiation, which distinguishes. Type or paste a DOI name into the text box. Click Go. Your browser will take you to a Web page (URL) associated with that DOI name. Send questions or comments to doi.