Quantification of tumor burden in multiple myeloma by atlas-based semi-automatic segmentation of WB-DWI

Background Whole-body diffusion weighted imaging (WB-DWI) has proven value to detect multiple myeloma (MM) lesions. However, the large volume of imaging data and the presence of numerous lesions makes the reading process challenging. The aim of the current study was to develop a semi-automatic lesio...

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Bibliographic Details
Published in:	Cancer imaging Vol. 20; no. 1; pp. 6 - 10
Main Authors:	Almeida, Sílvia D., Santinha, João, Oliveira, Francisco P. M., Ip, Joana, Lisitskaya, Maria, Lourenço, João, Uysal, Aycan, Matos, Celso, João, Cristina, Papanikolaou, Nikolaos
Format:	Journal Article
Language:	English
Published:	London BioMed Central 13.01.2020 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Adult Age Aged Algorithms Atlas-based segmentation Biomarkers Bone marrow Cancer Research Correlation coefficients Datasets Diffusion coefficient Diffusion Magnetic Resonance Imaging - methods Diffusion weighted imaging Driving while intoxicated Female Gold standard Histograms Humans Image Processing, Computer-Assisted - methods Image segmentation Imaging Lesions Lymphoma Magnetic resonance imaging Male Medicine Medicine & Public Health Middle Aged Multiple myeloma Multiple Myeloma - diagnostic imaging Multiple Myeloma - pathology Muscles Nuclear Medicine Oncology Outliers (statistics) Patients Performance evaluation Radiology Registration Research Article Semi-automatic segmentation Sensitivity analysis Total lesion burden Tumor Burden Tumors Semi-automatic segmentation Atlas-based segmentation Total lesion burden Diffusion weighted imaging Multiple myeloma
ISSN:	1470-7330, 1740-5025, 1470-7330
Online Access:	Get full text
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