The Distributional Characteristics of Multiple Sclerosis Lesions on Quantitative Susceptibility Mapping and Their Correlation With Clinical Severity

Background: Multiple sclerosis (MS) patients have a wide spectrum of severity and responses to therapy; the personalization of treatment relies on sensitive and specific biomarkers. Previous studies have suggested that susceptibility contrast in demyelinated plaques is associated with iron-related p...

Full description

Bibliographic Details
Main Authors: Zhuoxin Guo, Liu Long, Wei Qiu, Tingting Lu, Lina Zhang, Yaqing Shu, Ke Zhang, Ling Fang, Shaoqiong Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Neurology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2021.647519/full
id doaj-fad7cd55edd544d498c762a78f9a2c6a
record_format Article
spelling doaj-fad7cd55edd544d498c762a78f9a2c6a2021-07-09T10:02:29ZengFrontiers Media S.A.Frontiers in Neurology1664-22952021-07-011210.3389/fneur.2021.647519647519The Distributional Characteristics of Multiple Sclerosis Lesions on Quantitative Susceptibility Mapping and Their Correlation With Clinical SeverityZhuoxin Guo0Liu Long1Wei Qiu2Tingting Lu3Lina Zhang4Yaqing Shu5Ke Zhang6Ling Fang7Shaoqiong Chen8Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaDepartment of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaDepartment of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaDepartment of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaDepartment of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaDepartment of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaDepartment of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaDepartment of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaDepartment of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, ChinaBackground: Multiple sclerosis (MS) patients have a wide spectrum of severity and responses to therapy; the personalization of treatment relies on sensitive and specific biomarkers. Previous studies have suggested that susceptibility contrast in demyelinated plaques is associated with iron-related pathology in multiple sclerosis which may indicate clinical severity. The aims of this study were to characterize the spatial distribution of MS lesions with different iron patterns by using quantitative susceptibility mapping and to explore neuroradiological findings that correlate with poor clinical outcome.Methods: Twenty-six patients with relapsing–remitting MS [14 men, 12 women; mean age, 29 ± 8 (standard deviation) years; age range, 21–52 years] were included in this study. Differences in lesion number, T2 volume, and susceptibility were compared among lesions subcategorized by location and by the presence or absence of a hyperintense rim on quantitative susceptibility mapping. Associations between these imaging features and clinical outcomes including Expanded Disability Status Scale scores and annual relapse rates were investigated.Results: A total of 811 unifocal MS lesions were included, and their QSM patterns were nodular hyperintensity with no rim (rim–, 540, 67%) or with a hyperintense rim on the edge (rim+, 172, 21%) and nodular isointensity (99, 12%). Rim+ lesions had significantly larger volume (115 ± 142 vs. 166 ± 185 mm3, p < 0.001) and lower susceptibility (4 ± 15 vs. 8 ± 16 ppb, p < 0.05) than rim– lesions. More rim+ lesions were found in periventricular areas [median, 45%; interquartile range (IQR), 36%], whereas a larger proportion of rim– lesions were distributed in juxtacortical (median, 32%; IQR, 21%) and deep white matter (median, 38%; IQR, 22%) areas. The annual relapse rate was positively correlated with the proportion of periventricular rim+ lesions (p < 0.001, r = 0.65) and the proportion of subtentorial rim+ lesions (p < 0.05, r = 0.40). Additionally, a significant association was found between the burden of periventricular rim+ lesions (β = 0.64, p < 0.001) and the burden of subtentorial rim– lesions (β = 0.36, p < 0.05).Conclusions: A high number or lesion burden of periventricular rim+ lesions or subtentorial lesions is associated with frequent clinical relapses.https://www.frontiersin.org/articles/10.3389/fneur.2021.647519/fullrelapsing–remitting multiple sclerosisquantitative susceptibility mappingironspatial distributionclinical outcome
collection DOAJ
language English
format Article
sources DOAJ
author Zhuoxin Guo
Liu Long
Wei Qiu
Tingting Lu
Lina Zhang
Yaqing Shu
Ke Zhang
Ling Fang
Shaoqiong Chen
spellingShingle Zhuoxin Guo
Liu Long
Wei Qiu
Tingting Lu
Lina Zhang
Yaqing Shu
Ke Zhang
Ling Fang
Shaoqiong Chen
The Distributional Characteristics of Multiple Sclerosis Lesions on Quantitative Susceptibility Mapping and Their Correlation With Clinical Severity
Frontiers in Neurology
relapsing–remitting multiple sclerosis
quantitative susceptibility mapping
iron
spatial distribution
clinical outcome
author_facet Zhuoxin Guo
Liu Long
Wei Qiu
Tingting Lu
Lina Zhang
Yaqing Shu
Ke Zhang
Ling Fang
Shaoqiong Chen
author_sort Zhuoxin Guo
title The Distributional Characteristics of Multiple Sclerosis Lesions on Quantitative Susceptibility Mapping and Their Correlation With Clinical Severity
title_short The Distributional Characteristics of Multiple Sclerosis Lesions on Quantitative Susceptibility Mapping and Their Correlation With Clinical Severity
title_full The Distributional Characteristics of Multiple Sclerosis Lesions on Quantitative Susceptibility Mapping and Their Correlation With Clinical Severity
title_fullStr The Distributional Characteristics of Multiple Sclerosis Lesions on Quantitative Susceptibility Mapping and Their Correlation With Clinical Severity
title_full_unstemmed The Distributional Characteristics of Multiple Sclerosis Lesions on Quantitative Susceptibility Mapping and Their Correlation With Clinical Severity
title_sort distributional characteristics of multiple sclerosis lesions on quantitative susceptibility mapping and their correlation with clinical severity
publisher Frontiers Media S.A.
series Frontiers in Neurology
issn 1664-2295
publishDate 2021-07-01
description Background: Multiple sclerosis (MS) patients have a wide spectrum of severity and responses to therapy; the personalization of treatment relies on sensitive and specific biomarkers. Previous studies have suggested that susceptibility contrast in demyelinated plaques is associated with iron-related pathology in multiple sclerosis which may indicate clinical severity. The aims of this study were to characterize the spatial distribution of MS lesions with different iron patterns by using quantitative susceptibility mapping and to explore neuroradiological findings that correlate with poor clinical outcome.Methods: Twenty-six patients with relapsing–remitting MS [14 men, 12 women; mean age, 29 ± 8 (standard deviation) years; age range, 21–52 years] were included in this study. Differences in lesion number, T2 volume, and susceptibility were compared among lesions subcategorized by location and by the presence or absence of a hyperintense rim on quantitative susceptibility mapping. Associations between these imaging features and clinical outcomes including Expanded Disability Status Scale scores and annual relapse rates were investigated.Results: A total of 811 unifocal MS lesions were included, and their QSM patterns were nodular hyperintensity with no rim (rim–, 540, 67%) or with a hyperintense rim on the edge (rim+, 172, 21%) and nodular isointensity (99, 12%). Rim+ lesions had significantly larger volume (115 ± 142 vs. 166 ± 185 mm3, p < 0.001) and lower susceptibility (4 ± 15 vs. 8 ± 16 ppb, p < 0.05) than rim– lesions. More rim+ lesions were found in periventricular areas [median, 45%; interquartile range (IQR), 36%], whereas a larger proportion of rim– lesions were distributed in juxtacortical (median, 32%; IQR, 21%) and deep white matter (median, 38%; IQR, 22%) areas. The annual relapse rate was positively correlated with the proportion of periventricular rim+ lesions (p < 0.001, r = 0.65) and the proportion of subtentorial rim+ lesions (p < 0.05, r = 0.40). Additionally, a significant association was found between the burden of periventricular rim+ lesions (β = 0.64, p < 0.001) and the burden of subtentorial rim– lesions (β = 0.36, p < 0.05).Conclusions: A high number or lesion burden of periventricular rim+ lesions or subtentorial lesions is associated with frequent clinical relapses.
topic relapsing–remitting multiple sclerosis
quantitative susceptibility mapping
iron
spatial distribution
clinical outcome
url https://www.frontiersin.org/articles/10.3389/fneur.2021.647519/full
work_keys_str_mv AT zhuoxinguo thedistributionalcharacteristicsofmultiplesclerosislesionsonquantitativesusceptibilitymappingandtheircorrelationwithclinicalseverity
AT liulong thedistributionalcharacteristicsofmultiplesclerosislesionsonquantitativesusceptibilitymappingandtheircorrelationwithclinicalseverity
AT weiqiu thedistributionalcharacteristicsofmultiplesclerosislesionsonquantitativesusceptibilitymappingandtheircorrelationwithclinicalseverity
AT tingtinglu thedistributionalcharacteristicsofmultiplesclerosislesionsonquantitativesusceptibilitymappingandtheircorrelationwithclinicalseverity
AT linazhang thedistributionalcharacteristicsofmultiplesclerosislesionsonquantitativesusceptibilitymappingandtheircorrelationwithclinicalseverity
AT yaqingshu thedistributionalcharacteristicsofmultiplesclerosislesionsonquantitativesusceptibilitymappingandtheircorrelationwithclinicalseverity
AT kezhang thedistributionalcharacteristicsofmultiplesclerosislesionsonquantitativesusceptibilitymappingandtheircorrelationwithclinicalseverity
AT lingfang thedistributionalcharacteristicsofmultiplesclerosislesionsonquantitativesusceptibilitymappingandtheircorrelationwithclinicalseverity
AT shaoqiongchen thedistributionalcharacteristicsofmultiplesclerosislesionsonquantitativesusceptibilitymappingandtheircorrelationwithclinicalseverity
AT zhuoxinguo distributionalcharacteristicsofmultiplesclerosislesionsonquantitativesusceptibilitymappingandtheircorrelationwithclinicalseverity
AT liulong distributionalcharacteristicsofmultiplesclerosislesionsonquantitativesusceptibilitymappingandtheircorrelationwithclinicalseverity
AT weiqiu distributionalcharacteristicsofmultiplesclerosislesionsonquantitativesusceptibilitymappingandtheircorrelationwithclinicalseverity
AT tingtinglu distributionalcharacteristicsofmultiplesclerosislesionsonquantitativesusceptibilitymappingandtheircorrelationwithclinicalseverity
AT linazhang distributionalcharacteristicsofmultiplesclerosislesionsonquantitativesusceptibilitymappingandtheircorrelationwithclinicalseverity
AT yaqingshu distributionalcharacteristicsofmultiplesclerosislesionsonquantitativesusceptibilitymappingandtheircorrelationwithclinicalseverity
AT kezhang distributionalcharacteristicsofmultiplesclerosislesionsonquantitativesusceptibilitymappingandtheircorrelationwithclinicalseverity
AT lingfang distributionalcharacteristicsofmultiplesclerosislesionsonquantitativesusceptibilitymappingandtheircorrelationwithclinicalseverity
AT shaoqiongchen distributionalcharacteristicsofmultiplesclerosislesionsonquantitativesusceptibilitymappingandtheircorrelationwithclinicalseverity
_version_ 1721311468510511104