Spinal Cord Atrophy Predicts Progressive Disease in Relapsing Multiple Sclerosis
Objective A major challenge in multiple sclerosis (MS) research is the understanding of silent progression and Progressive MS. Using a novel method to accurately capture upper cervical cord area from legacy brain MRI scans we aimed to study the role of spinal cord and brain atrophy for silent progre...
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| Vydané v: | Annals of neurology Ročník 91; číslo 2; s. 268 - 281 |
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| Hlavní autori: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Hoboken, USA
John Wiley & Sons, Inc
01.02.2022
Wiley Subscription Services, Inc |
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| ISSN: | 0364-5134, 1531-8249, 1531-8249 |
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| Abstract | Objective
A major challenge in multiple sclerosis (MS) research is the understanding of silent progression and Progressive MS. Using a novel method to accurately capture upper cervical cord area from legacy brain MRI scans we aimed to study the role of spinal cord and brain atrophy for silent progression and conversion to secondary progressive disease (SPMS).
Methods
From a single‐center observational study, all RRMS (n = 360) and SPMS (n = 47) patients and 80 matched controls were evaluated. RRMS patient subsets who converted to SPMS (n = 54) or silently progressed (n = 159), respectively, during the 12‐year observation period were compared to clinically matched RRMS patients remaining RRMS (n = 54) or stable (n = 147), respectively. From brain MRI, we assessed the value of brain and spinal cord measures to predict silent progression and SPMS conversion.
Results
Patients who developed SPMS showed faster cord atrophy rates (−2.19%/yr) at least 4 years before conversion compared to their RRMS matches (−0.88%/yr, p < 0.001). Spinal cord atrophy rates decelerated after conversion (−1.63%/yr, p = 0.010) towards those of SPMS patients from study entry (−1.04%). Each 1% faster spinal cord atrophy rate was associated with 69% (p < 0.0001) and 53% (p < 0.0001) shorter time to silent progression and SPMS conversion, respectively.
Interpretation
Silent progression and conversion to secondary progressive disease are predominantly related to cervical cord atrophy. This atrophy is often present from the earliest disease stages and predicts the speed of silent progression and conversion to Progressive MS. Diagnosis of SPMS is rather a late recognition of this neurodegenerative process than a distinct disease phase. ANN NEUROL 2022;91:268–281 |
|---|---|
| AbstractList | Objective
A major challenge in multiple sclerosis (MS) research is the understanding of silent progression and Progressive MS. Using a novel method to accurately capture upper cervical cord area from legacy brain MRI scans we aimed to study the role of spinal cord and brain atrophy for silent progression and conversion to secondary progressive disease (SPMS).
Methods
From a single‐center observational study, all RRMS (n = 360) and SPMS (n = 47) patients and 80 matched controls were evaluated. RRMS patient subsets who converted to SPMS (n = 54) or silently progressed (n = 159), respectively, during the 12‐year observation period were compared to clinically matched RRMS patients remaining RRMS (n = 54) or stable (n = 147), respectively. From brain MRI, we assessed the value of brain and spinal cord measures to predict silent progression and SPMS conversion.
Results
Patients who developed SPMS showed faster cord atrophy rates (−2.19%/yr) at least 4 years before conversion compared to their RRMS matches (−0.88%/yr, p < 0.001). Spinal cord atrophy rates decelerated after conversion (−1.63%/yr, p = 0.010) towards those of SPMS patients from study entry (−1.04%). Each 1% faster spinal cord atrophy rate was associated with 69% (p < 0.0001) and 53% (p < 0.0001) shorter time to silent progression and SPMS conversion, respectively.
Interpretation
Silent progression and conversion to secondary progressive disease are predominantly related to cervical cord atrophy. This atrophy is often present from the earliest disease stages and predicts the speed of silent progression and conversion to Progressive MS. Diagnosis of SPMS is rather a late recognition of this neurodegenerative process than a distinct disease phase. ANN NEUROL 2022;91:268–281 ObjectiveA major challenge in multiple sclerosis (MS) research is the understanding of silent progression and Progressive MS. Using a novel method to accurately capture upper cervical cord area from legacy brain MRI scans we aimed to study the role of spinal cord and brain atrophy for silent progression and conversion to secondary progressive disease (SPMS).MethodsFrom a single‐center observational study, all RRMS (n = 360) and SPMS (n = 47) patients and 80 matched controls were evaluated. RRMS patient subsets who converted to SPMS (n = 54) or silently progressed (n = 159), respectively, during the 12‐year observation period were compared to clinically matched RRMS patients remaining RRMS (n = 54) or stable (n = 147), respectively. From brain MRI, we assessed the value of brain and spinal cord measures to predict silent progression and SPMS conversion.ResultsPatients who developed SPMS showed faster cord atrophy rates (−2.19%/yr) at least 4 years before conversion compared to their RRMS matches (−0.88%/yr, p < 0.001). Spinal cord atrophy rates decelerated after conversion (−1.63%/yr, p = 0.010) towards those of SPMS patients from study entry (−1.04%). Each 1% faster spinal cord atrophy rate was associated with 69% (p < 0.0001) and 53% (p < 0.0001) shorter time to silent progression and SPMS conversion, respectively.InterpretationSilent progression and conversion to secondary progressive disease are predominantly related to cervical cord atrophy. This atrophy is often present from the earliest disease stages and predicts the speed of silent progression and conversion to Progressive MS. Diagnosis of SPMS is rather a late recognition of this neurodegenerative process than a distinct disease phase. ANN NEUROL 2022;91:268–281 A major challenge in multiple sclerosis (MS) research is the understanding of silent progression and Progressive MS. Using a novel method to accurately capture upper cervical cord area from legacy brain MRI scans we aimed to study the role of spinal cord and brain atrophy for silent progression and conversion to secondary progressive disease (SPMS). From a single-center observational study, all RRMS (n = 360) and SPMS (n = 47) patients and 80 matched controls were evaluated. RRMS patient subsets who converted to SPMS (n = 54) or silently progressed (n = 159), respectively, during the 12-year observation period were compared to clinically matched RRMS patients remaining RRMS (n = 54) or stable (n = 147), respectively. From brain MRI, we assessed the value of brain and spinal cord measures to predict silent progression and SPMS conversion. Patients who developed SPMS showed faster cord atrophy rates (-2.19%/yr) at least 4 years before conversion compared to their RRMS matches (-0.88%/yr, p < 0.001). Spinal cord atrophy rates decelerated after conversion (-1.63%/yr, p = 0.010) towards those of SPMS patients from study entry (-1.04%). Each 1% faster spinal cord atrophy rate was associated with 69% (p < 0.0001) and 53% (p < 0.0001) shorter time to silent progression and SPMS conversion, respectively. Silent progression and conversion to secondary progressive disease are predominantly related to cervical cord atrophy. This atrophy is often present from the earliest disease stages and predicts the speed of silent progression and conversion to Progressive MS. Diagnosis of SPMS is rather a late recognition of this neurodegenerative process than a distinct disease phase. ANN NEUROL 2022;91:268-281. A major challenge in multiple sclerosis (MS) research is the understanding of silent progression and Progressive MS. Using a novel method to accurately capture upper cervical cord area from legacy brain MRI scans we aimed to study the role of spinal cord and brain atrophy for silent progression and conversion to secondary progressive disease (SPMS).OBJECTIVEA major challenge in multiple sclerosis (MS) research is the understanding of silent progression and Progressive MS. Using a novel method to accurately capture upper cervical cord area from legacy brain MRI scans we aimed to study the role of spinal cord and brain atrophy for silent progression and conversion to secondary progressive disease (SPMS).From a single-center observational study, all RRMS (n = 360) and SPMS (n = 47) patients and 80 matched controls were evaluated. RRMS patient subsets who converted to SPMS (n = 54) or silently progressed (n = 159), respectively, during the 12-year observation period were compared to clinically matched RRMS patients remaining RRMS (n = 54) or stable (n = 147), respectively. From brain MRI, we assessed the value of brain and spinal cord measures to predict silent progression and SPMS conversion.METHODSFrom a single-center observational study, all RRMS (n = 360) and SPMS (n = 47) patients and 80 matched controls were evaluated. RRMS patient subsets who converted to SPMS (n = 54) or silently progressed (n = 159), respectively, during the 12-year observation period were compared to clinically matched RRMS patients remaining RRMS (n = 54) or stable (n = 147), respectively. From brain MRI, we assessed the value of brain and spinal cord measures to predict silent progression and SPMS conversion.Patients who developed SPMS showed faster cord atrophy rates (-2.19%/yr) at least 4 years before conversion compared to their RRMS matches (-0.88%/yr, p < 0.001). Spinal cord atrophy rates decelerated after conversion (-1.63%/yr, p = 0.010) towards those of SPMS patients from study entry (-1.04%). Each 1% faster spinal cord atrophy rate was associated with 69% (p < 0.0001) and 53% (p < 0.0001) shorter time to silent progression and SPMS conversion, respectively.RESULTSPatients who developed SPMS showed faster cord atrophy rates (-2.19%/yr) at least 4 years before conversion compared to their RRMS matches (-0.88%/yr, p < 0.001). Spinal cord atrophy rates decelerated after conversion (-1.63%/yr, p = 0.010) towards those of SPMS patients from study entry (-1.04%). Each 1% faster spinal cord atrophy rate was associated with 69% (p < 0.0001) and 53% (p < 0.0001) shorter time to silent progression and SPMS conversion, respectively.Silent progression and conversion to secondary progressive disease are predominantly related to cervical cord atrophy. This atrophy is often present from the earliest disease stages and predicts the speed of silent progression and conversion to Progressive MS. Diagnosis of SPMS is rather a late recognition of this neurodegenerative process than a distinct disease phase. ANN NEUROL 2022;91:268-281.INTERPRETATIONSilent progression and conversion to secondary progressive disease are predominantly related to cervical cord atrophy. This atrophy is often present from the earliest disease stages and predicts the speed of silent progression and conversion to Progressive MS. Diagnosis of SPMS is rather a late recognition of this neurodegenerative process than a distinct disease phase. ANN NEUROL 2022;91:268-281. |
| Author | Bove, Riley M. Papinutto, Nico Sacco, Simone Green, Ari J. Caverzasi, Eduardo Juwono, Jeremy Ragan, Nicholas R. Graves, Jennifer S. Keshavan, Anisha Henry, Roland G. Zamvil, Scott S. Kirkish, Gina Crabtree, Elizabeth Stern, William A. Cree, Bruce A. C. Rajesh, Anand Gomez, Refujia Mallott, Jacob M. Gundel, Tristan J. Wilson, Michael R. Zhao, Chao Hauser, Stephen L. Bevan, Carolyn J. Zhu, Alyssa H. Zhou, Yifan Waubant, Emmanuelle Goodin, Douglas S. Gelfand, Jeffrey M. Asteggiano, Carlo Santaniello, Adam Zhang, Xinheng Oksenberg, Jorge R. Bischof, Antje |
| AuthorAffiliation | Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA |
| AuthorAffiliation_xml | – name: Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA |
| Author_xml | – sequence: 1 givenname: Antje orcidid: 0000-0003-3862-5738 surname: Bischof fullname: Bischof, Antje organization: University Hospital Münster, Albert‐Schweitzer‐Campus 1 – sequence: 2 givenname: Nico surname: Papinutto fullname: Papinutto, Nico organization: University of California – sequence: 3 givenname: Anisha surname: Keshavan fullname: Keshavan, Anisha organization: University of California – sequence: 4 givenname: Anand surname: Rajesh fullname: Rajesh, Anand organization: University of California – sequence: 5 givenname: Gina surname: Kirkish fullname: Kirkish, Gina organization: University of California – sequence: 6 givenname: Xinheng surname: Zhang fullname: Zhang, Xinheng organization: University of California – sequence: 7 givenname: Jacob M. orcidid: 0000-0001-7309-3605 surname: Mallott fullname: Mallott, Jacob M. organization: University of California – sequence: 8 givenname: Carlo surname: Asteggiano fullname: Asteggiano, Carlo organization: University of California – sequence: 9 givenname: Simone surname: Sacco fullname: Sacco, Simone organization: University of California – sequence: 10 givenname: Tristan J. surname: Gundel fullname: Gundel, Tristan J. organization: University of California – sequence: 11 givenname: Chao surname: Zhao fullname: Zhao, Chao organization: University of California – sequence: 12 givenname: William A. surname: Stern fullname: Stern, William A. organization: University of California – sequence: 13 givenname: Eduardo orcidid: 0000-0002-0350-0460 surname: Caverzasi fullname: Caverzasi, Eduardo organization: University of California – sequence: 14 givenname: Yifan surname: Zhou fullname: Zhou, Yifan organization: University of California – sequence: 15 givenname: Refujia surname: Gomez fullname: Gomez, Refujia organization: University of California – sequence: 16 givenname: Nicholas R. surname: Ragan fullname: Ragan, Nicholas R. organization: University of California – sequence: 17 givenname: Adam surname: Santaniello fullname: Santaniello, Adam organization: University of California – sequence: 18 givenname: Alyssa H. surname: Zhu fullname: Zhu, Alyssa H. organization: University of California – sequence: 19 givenname: Jeremy surname: Juwono fullname: Juwono, Jeremy organization: University of California – sequence: 20 givenname: Carolyn J. surname: Bevan fullname: Bevan, Carolyn J. organization: University of California – sequence: 21 givenname: Riley M. surname: Bove fullname: Bove, Riley M. organization: University of California – sequence: 22 givenname: Elizabeth surname: Crabtree fullname: Crabtree, Elizabeth organization: University of California – sequence: 23 givenname: Jeffrey M. surname: Gelfand fullname: Gelfand, Jeffrey M. organization: University of California – sequence: 24 givenname: Douglas S. surname: Goodin fullname: Goodin, Douglas S. organization: University of California – sequence: 25 givenname: Jennifer S. orcidid: 0000-0003-1539-1940 surname: Graves fullname: Graves, Jennifer S. organization: University of California – sequence: 26 givenname: Ari J. surname: Green fullname: Green, Ari J. organization: University of California – sequence: 27 givenname: Jorge R. surname: Oksenberg fullname: Oksenberg, Jorge R. organization: University of California – sequence: 28 givenname: Emmanuelle orcidid: 0000-0001-5188-0157 surname: Waubant fullname: Waubant, Emmanuelle organization: University of California – sequence: 29 givenname: Michael R. surname: Wilson fullname: Wilson, Michael R. organization: University of California – sequence: 30 givenname: Scott S. orcidid: 0000-0003-2720-9915 surname: Zamvil fullname: Zamvil, Scott S. organization: University of California – sequence: 32 givenname: Bruce A. C. orcidid: 0000-0001-7689-2533 surname: Cree fullname: Cree, Bruce A. C. organization: University of California – sequence: 33 givenname: Stephen L. orcidid: 0000-0002-4932-4001 surname: Hauser fullname: Hauser, Stephen L. organization: University of California – sequence: 34 givenname: Roland G. surname: Henry fullname: Henry, Roland G. email: roland.henry@ucsf.edu organization: University of California |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34878197$$D View this record in MEDLINE/PubMed |
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A major challenge in multiple sclerosis (MS) research is the understanding of silent progression and Progressive MS. Using a novel method to... A major challenge in multiple sclerosis (MS) research is the understanding of silent progression and Progressive MS. Using a novel method to accurately capture... ObjectiveA major challenge in multiple sclerosis (MS) research is the understanding of silent progression and Progressive MS. Using a novel method to... |
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| SubjectTerms | Adult Atrophy Brain Brain - diagnostic imaging Brain - pathology Conversion Deceleration Disease Progression Female Foramen Magnum - diagnostic imaging Foramen Magnum - pathology Humans Magnetic Resonance Imaging Male Middle Aged Multiple sclerosis Multiple Sclerosis, Relapsing-Remitting - diagnostic imaging Multiple Sclerosis, Relapsing-Remitting - pathology Predictive Value of Tests Prognosis Prospective Studies Spinal cord Spinal Cord - diagnostic imaging Spinal Cord - pathology |
| Title | Spinal Cord Atrophy Predicts Progressive Disease in Relapsing Multiple Sclerosis |
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