Evidence map›Paper›PMID 33532264›Full record

ArticleQuantitative imaging in medicine and surgery2021

Evaluation of bone marrow infiltration in multiple myeloma using whole-body diffusion-weighted imaging and T1-weighted water-fat separation Dixon.

Xiaodong Ji, Wenyang Huang, Huazheng Dong, Zhiwei Shen, Meizhu Zheng, Dehui Zou, Wen Shen, Shuang Xia

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Article in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xiaodong JiRadiology Department, First Central Clinical College, Tianjin Medical University, Tianjin, China.
Wenyang HuangState Key Laboratory of Experimental Hematology, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Tianjin, China.
Huazheng DongRadiology Department, Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, China.
Zhiwei ShenPhilips Healthcare, World Profit Centre, Beijing, China.
Meizhu ZhengRadiological Department, Third Central Hospital of Tianjin, Tianjin, China.
Dehui ZouState Key Laboratory of Experimental Hematology, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Tianjin, China.
Wen ShenDepartment of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.
Shuang XiaDepartment of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple myeloma (MM) is a blood cancer caused by the unlimited proliferation of intramedullary plasma cells. The presence of focal lesions (FLs) is presumed to be a more relevant factor for patient outcomes and risk distribution than diffuse bone marrow signal abnormalities. Signal changes in these FLs also have a good correlation with prognosis. As the cell density increased, a lower apparent diffusion coefficient (ADC) value was found with the diffusion-weighted imaging (DWI) sequence. Therefore, whole-body magnetic resonance imaging (MRI) with DWI sequences is sensitive to cell density and viability and may be vital for disease detection and therapy response assessments. However, the correlation between the DWI signal and the degree of bone destruction and the proportion of bone marrow plasma cells (BMPC) was still unclear in patients with MM. Water-fat separation MRI is used mainly for evaluating liver and bone marrow fat quantification, and fat quantification in other diseases. Meanwhile, it is also possible to assess the extent of bone marrow invasion in medullary lesions. This study aimed to investigate the correlation between ADC values from whole-body DWI and water/fat MRI signals from T1-weighted water-fat separation in evaluating bone marrow infiltration in patients with MM.

methodsThe study included 35 patients with MM who underwent whole-body DWI and T1-weighted water-fat separation Dixon examinations before therapy. The ADC values, normalized fat signal intensity (nMfat), normalized water molecular signal intensity (nMwater), and normalized fat fraction (nFF) of the thoracolumbar spine was measured in FLs and the normal-appearing bone marrow (NABM). The differences in values were compared using the independent-samples

resultsStatistically significant differences were found between the mean ADC values in FLs and NABM (0.72

conclusionsThe ADC value combined with water-fat separation parameters could be used for evaluating thoracolumbar bone marrow infiltration in MM. All parameters correlated with the proportion of BMPC, which helped assess the early response in MM therapy.

Indexed as

Apparent diffusion coefficient (ADC)multiple myeloma (MM)normalized fat fraction (nFF)water-fat separation Dixon techniquewhole-body diffusion-weighted imaging (whole-body DWI)

Identifiers

PMID33532264
PMCPMC7779908

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