1
|
Morikawa F, Kobayashi R, Murayama T, Fukuya S, Tabata K, Fujishiro H, Nakayama M, Naoe J. Evaluating Electroconvulsive Therapy for Dementia With Lewy Bodies, Including the Prodromal Stage: A Retrospective Study on Safety and Efficacy. Int J Geriatr Psychiatry 2024; 39:e70020. [PMID: 39608804 DOI: 10.1002/gps.70020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2024] [Revised: 11/01/2024] [Accepted: 11/08/2024] [Indexed: 11/30/2024]
Abstract
OBJECTIVES Managing symptoms, notably psychiatric symptoms, in dementia with Lewy bodies (DLB) is complex, affecting both patients and caregivers. People with DLB often react poorly to antipsychotics, limiting treatment options. Although electroconvulsive therapy (ECT)'s potential for DLB is acknowledged, evidence is scarce owing to limited studies. This study investigated ECT's effectiveness and safety for DLB and prodromal DLB with antecedent psychiatric symptoms. METHODS This retrospective study investigated people with DLB (N = 12) and mild cognitive impairment (MCI) with LB (N = 13), a prodromal form of DLB, who underwent ECT for psychiatric symptoms and had abnormal findings confirmed using dopamine transporter single-photon emission computed tomography and 123I-metaiodobenzylguanidine myocardial scintigraphy. We reviewed these patients' medical records and determined the severity of psychotic symptoms before and 1 week after the final ECT session with the Clinical Global Impressions Severity Scale (CGI-S). Improvement in psychotic symptoms was evaluated approximately 1 week after the final ECT session using the CGI Improvement Scale (CGI-I). Additionally, we assessed cognitive function and dementia severity before and after ECT, as well as any adverse events caused by ECT. RESULTS ECT significantly improved psychiatric symptoms, as assessed using the CGI-S, with CGI-I reports in the order of 60% "very much improved," 20% "much improved," 16% "minimally improved," and 4% "no change." Parkinsonism improved (Hoehn and Yahr: 1.76 ± 1.2 before vs. 1.04 ± 0.7 after, p < 0.001) as did dementia severity (Clinical Dementia Rating, p = 0.037). Adverse events included delirium in 24% of patients and amnesia in 4% of patients. ECT did not worsen cognitive function. CONCLUSIONS ECT for DLB and MCI with LB with antecedent psychiatric symptoms appears safe and effective in managing psychiatric symptoms and Parkinsonism. Further large-scale multicenter studies are warranted to conclusively establish its effectiveness and safety.
Collapse
Affiliation(s)
- Fumiyoshi Morikawa
- Department of Psychiatry, Asahikawa Keisenkai Hospital, Asahikawa, Japan
| | - Ryota Kobayashi
- Department of Psychiatry, Yamagata University School of Medicine, Yamagata, Japan
| | - Tomonori Murayama
- Department of Psychiatry, Asahikawa Keisenkai Hospital, Asahikawa, Japan
| | - Shota Fukuya
- Department of Psychiatry, Asahikawa Keisenkai Hospital, Asahikawa, Japan
| | - Kazuki Tabata
- Department of Psychiatry, Asahikawa Keisenkai Hospital, Asahikawa, Japan
| | - Hiroshige Fujishiro
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | | | - Juichiro Naoe
- Department of Psychiatry, Asahikawa Keisenkai Hospital, Asahikawa, Japan
| |
Collapse
|
2
|
Coughlin DG, MacLeod KR, Middleton JS, Bozoki AC, Galvin JE, Irwin DJ, Lippa CF, Litvan I, Lopez OL, Berman S, Tsuang DW, Zabetian CP, Honig LS, Marder KS, Fleisher JE, Sabbagh M, Wint D, Taylor AS, Bekris L, Leverenz JB, Galasko D. Association of CSF α-Synuclein Seeding Amplification Assay Results With Clinical Features of Possible and Probable Dementia With Lewy Bodies. Neurology 2024; 103:e209656. [PMID: 39013126 PMCID: PMC11238940 DOI: 10.1212/wnl.0000000000209656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 05/28/2024] [Indexed: 07/18/2024] Open
Abstract
BACKGROUND AND OBJECTIVES The clinical diagnosis of dementia with Lewy bodies (DLB) depends on identifying significant cognitive decline accompanied by core features of parkinsonism, visual hallucinations, cognitive fluctuations, and REM sleep behavior disorder (RBD). Hyposmia is one of the several supportive features. α-Synuclein seeding amplification assays (αSyn-SAAs) may enhance diagnostic accuracy by detecting pathologic αSyn seeds in CSF. In this study, we examine how different clinical features associate with CSF αSyn-SAA positivity in a large group of clinically diagnosed participants with DLB. METHODS Cross-sectional and longitudinal CSF samples from the multicentered observational cohort study of the DLB Consortium and similar studies within the Parkinson's Disease Biomarker Program, contributed by academic medical centers in the United States, underwent αSyn-SAA testing. Participants included those clinically diagnosed with DLB and 2 control cohorts. Associations between core DLB features and olfaction with αSyn-SAA positivity were evaluated using logistic regression. RESULTS CSF samples from 191 participants diagnosed with DLB (mean age 69.9 ± 6.8, 15% female), 50 age-matched and sex-matched clinical control participants, and 49 younger analytical control participants were analyzed. Seventy-two percent (137/191) of participants with DLB had positive αSyn-SAAs vs 4% of the control groups. Among participants with DLB, those who were αSyn-SAA-positive had lower Montreal Cognitive Assessment scores (18.8 ± 5.7 vs 21.2 ± 5.2, p = 0.01), had worse parkinsonism on the Movement Disorders Society Unified Parkinson's Disease Rating Scale part III (33.8 ± 15.1 vs 25.6 ± 16.4, p = 0.001), were more likely to report RBD (114/133 [86%] vs 33/53 [62%], p < 0.0001), and had worse hyposmia on the University of Pennsylvania Smell Identification Test (UPSIT) (94/105 [90%] below 15th percentile vs 14/44 [32%], p < 0.0001). UPSIT percentile had the highest area under the curve (0.87, 95% CI 0.81-0.94) in predicting αSyn-SAA positivity and participants scoring at or below the 15th percentile of age and sex normative values had 18.3 times higher odds (95% CI 7.52-44.6) of having a positive αSyn-SAA test. Among 82 participants with longitudinal CSF samples, 81 (99%) had the same αSyn-SAA result for initial and follow-up specimens. DISCUSSION A substantial proportion of clinically diagnosed participants with DLB had negative αSyn-SAA results. Hyposmia was the strongest clinical predictor of αSyn-SAA positivity. Hyposmia and αSyn-SAA may have utility in improving the diagnostic assessment of individuals with potential DLB. CLASSIFICATION OF EVIDENCE This study provided Class III evidence that CSF αSyn-SAA distinguishes patients with clinically diagnosed DLB from normal controls.
Collapse
Affiliation(s)
- David G Coughlin
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Karen R MacLeod
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - John S Middleton
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Andrea C Bozoki
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - James E Galvin
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - David J Irwin
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Carol F Lippa
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Irene Litvan
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Oscar L Lopez
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Sarah Berman
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Debby W Tsuang
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Cyrus P Zabetian
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Lawrence S Honig
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Karen S Marder
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Jori E Fleisher
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Marwan Sabbagh
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Dylan Wint
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Angela S Taylor
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Lynn Bekris
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - James B Leverenz
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| | - Douglas Galasko
- From the Department of Neurosciences (D.G.C., I.L., D.G.), University of California San Diego; Clinical Laboratory (K.R.M., J.S.M.), Amprion Inc., La Jolla, CA; Department of Neurology (A.C.B.), University of North Carolina, Chapel Hill, NC; Department of Neurology (J.E.G.), University of Miami, FL; Department of Neurology (D.J.I.), University of Pennsylvania, Philadelphia; Department of Neurology (C.F.L.), Thomas Jefferson University, Philadelphia, PA; Department of Neurology (O.L.L., S.B.), University of Pittsburgh, PA; Department of Neurology (D.W.T., C.P.Z.), University of Washington and Geriatric Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA; Department of Neurology (L.S.H., K.S.M.), Columbia University Irving Medical Center, New York, NY; Department of Neurology (J.E.F.), Rush University, Chicago, IL; Department of Neurology (M.S.), Barrow Neurological Institute, AZ; Department of Neurology (D.W., L.B., J.B.L.), Cleveland Clinic, OH; and Lewy Body Dementia Association (A.S.T.), Lilburn, GA
| |
Collapse
|
3
|
Monzio Compagnoni G, Appollonio I, Ferrarese C. The role of 123-I-MIBG cardiac scintigraphy in the differential diagnosis between dementia with Lewy bodies and Alzheimer's disease. Neurol Sci 2024; 45:3599-3609. [PMID: 38517586 DOI: 10.1007/s10072-024-07476-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 03/13/2024] [Indexed: 03/24/2024]
Abstract
Although detailed diagnostic guidelines are available, differentiating dementia with Lewy bodies from Alzheimer's disease is often difficult. 123-I-MIBG cardiac scintigraphy is one of the tools which have been proposed for the diagnostic procedure. The present review is aimed at evaluating the available literature about this topic. Studies assessing the use of this technique to differentiate between the two diseases have been examined and reported. Overall, despite a certain study-to-study variability, the available literature suggests that 123-I-MIBG cardiac scintigraphy is an effective tool in differentiating between the two diseases, with high sensitivity and specificity values. Although the large-scale application of this technique is limited by possible interactions with specific medications and comorbidities, the reported studies are supportive for the usefulness of this technique in clinical practice.
Collapse
Affiliation(s)
| | - Ildebrando Appollonio
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
- Neurology Unit, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
- Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Monza, Italy
| | - Carlo Ferrarese
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
- Neurology Unit, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
- Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Monza, Italy
| |
Collapse
|
4
|
O’Shea DM, Arkhipenko A, Galasko D, Goldman JG, Sheikh ZH, Petrides G, Toledo JB, Galvin JE. Practical use of DAT SPECT imaging in diagnosing dementia with Lewy bodies: a US perspective of current guidelines and future directions. Front Neurol 2024; 15:1395413. [PMID: 38711561 PMCID: PMC11073567 DOI: 10.3389/fneur.2024.1395413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 03/25/2024] [Indexed: 05/08/2024] Open
Abstract
Background Diagnosing Dementia with Lewy Bodies (DLB) remains a challenge in clinical practice. The use of 123I-ioflupane (DaTscan™) SPECT imaging, which detects reduced dopamine transporter (DAT) uptake-a key biomarker in DLB diagnosis-could improve diagnostic accuracy. However, DAT imaging is underutilized despite its potential, contributing to delays and suboptimal patient management. Methods This review evaluates DLB diagnostic practices and challenges faced within the U.S. by synthesizing information from current literature, consensus guidelines, expert opinions, and recent updates on DaTscan FDA filings. It contrasts DAT SPECT with alternative biomarkers, provides recommendations for when DAT SPECT imaging may be indicated and discusses the potential of emerging biomarkers in enhancing diagnostic approaches. Results The radiopharmaceutical 123I-ioflupane for SPECT imaging was initially approved in Europe (2000) and later in the US (2011) for Parkinsonism/Essential Tremor. Its application was extended in 2022 to include the diagnosis of DLB. DaTscan's diagnostic efficacy for DLB, with its sensitivity, specificity, and predictive values, confirms its clinical utility. However, US implementation faces challenges such as insurance barriers, costs, access issues, and regional availability disparities. Conclusion 123I-ioflupane SPECT Imaging is indicated for DLB diagnosis and differential diagnosis of Alzheimer's Disease, particularly in uncertain cases. Addressing diagnostic obstacles and enhancing physician-patient education could improve and expedite DLB diagnosis. Collaborative efforts among neurologists, geriatric psychiatrists, psychologists, and memory clinic staff are key to increasing diagnostic accuracy and care in DLB management.
Collapse
Affiliation(s)
- Deirdre M. O’Shea
- Department of Neurology, Comprehensive Center for Brain Health, University of Miami, Miller School of Medicine, Coral Gables, FL, United States
| | | | - Douglas Galasko
- Department of Neurosciences, UC San Diego, San Diego, CA, United States
| | - Jennifer G. Goldman
- JPG Enterprises LLC, Chicago, IL, United States
- Barrow Neurological Institute, Phoenix, AZ, United States
| | | | - George Petrides
- Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom
| | - Jon B. Toledo
- Nantz National Alzheimer Center, Stanley Appel Department of Neurology, Houston Methodist Hospital, Houston, TX, United States
| | - James E. Galvin
- Department of Neurology, Comprehensive Center for Brain Health, University of Miami, Miller School of Medicine, Coral Gables, FL, United States
| |
Collapse
|
5
|
Vidal-Petiot E, Pathak A, Azulay JP, Pavy-Le Traon A, Hanon O. Orthostatic hypotension: Review and expert position statement. Rev Neurol (Paris) 2024; 180:53-64. [PMID: 38123372 DOI: 10.1016/j.neurol.2023.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 11/19/2023] [Accepted: 11/21/2023] [Indexed: 12/23/2023]
Abstract
Orthostatic hypotension is defined as a drop in systolic blood pressure of at least 20mmHg or a drop in diastolic blood pressure of at least 10mmHg within 3minutes of standing. It is a common disorder, especially in high-risk populations such as elderly subjects and patients with neurological diseases, and is associated with markedly increased morbidity and mortality. Its management can be challenging, particularly in cases where supine hypertension is associated with severe orthostatic hypotension. Education of the patient, non-pharmacological measures, and drug adaptation are the cornerstones of treatment. Pharmacological treatment should be individualized according to the severity, underlying cause, 24-hour blood pressure profile, and associated coexisting conditions. First-line therapies are midodrine and fludrocortisone, which may need to be combined for optimal care of severe cases.
Collapse
Affiliation(s)
- E Vidal-Petiot
- Service de physiologie, ESH Excellence Center, hôpital Bichat, Assistance Publique-Hôpitaux de Paris, 75018 Paris, France; INSERM U1148, Université Paris-Cité and Université Sorbonne Paris Nord, LVTS, 75018 Paris, France.
| | - A Pathak
- Service de cardiologie, ESH Excellence Center, centre hospitalier Princesse Grace, 1, avenue Pasteur, 98000 Monaco, France
| | - J-P Azulay
- Service de neurologie et pathologie du mouvement, hôpital de la Timone, 13385 Marseille cedex 05, France
| | - A Pavy-Le Traon
- Service de neurologie, CHU de Toulouse, 31059 Toulouse cedex, France; UMR 1297, institut des maladies métaboliques et cardiovasculaires, Toulouse, France
| | - O Hanon
- Service de gériatrie, université Paris-Cité, EA4468, hôpital Broca, AP-HP, 75013 Paris, France
| |
Collapse
|
6
|
Tang Z, Hirano S, Koizumi Y, Izumi M, Kitayama Y, Yamagishi K, Tamura M, Ishikawa A, Kashiwado K, Iimori T, Mukai H, Yokota H, Horikoshi T, Uno T, Kuwabara S. Diagnostic Sensitivity and Symptomatic Relevance of Dopamine Transporter Imaging and Myocardial Sympathetic Scintigraphy in Patients with Dementia with Lewy Bodies. J Alzheimers Dis 2024; 100:127-137. [PMID: 38848178 PMCID: PMC11307094 DOI: 10.3233/jad-231395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/25/2024] [Indexed: 06/09/2024]
Abstract
Background Dementia with Lewy bodies (DLB) presents with various symptoms, posing challenges for early diagnosis challenging. Dopamine transporter (123I-FP-CIT) single-photon emission tomography (SPECT) and 123I-meta-iodobenzylguanidine (123I-MIBG) imaging are crucial diagnostic biomarkers. Hypothesis about body- and brain-first subtypes of DLB indicate that some DLB may show normal 123I-FP-CIT or 123I-MIBG results; but the characteristic expression of these two subtypes remains unclear. Objective This study aimed to evaluate the diagnostic sensitivity of 123I-FP-CIT and 123I-MIBG imaging alone, combined in patients with DLB and explore symptoms associated with the abnormal imaging results. Methods Demographic data, clinical status, and imaging results were retrospectively collected from patients diagnosed with possible DLB. Both images were quantified using semi-automated software, and the sensitivity of each imaging modality and their combination was calculated. Demographic data, cognition, and motor and non-motor symptoms were compared among the subgroups based on the imaging results. Symptoms related to each imaging abnormality were examined using binomial logistic regression analyses. Results Among 114 patients with DLB, 80 underwent 123I-FP-CIT SPECT (sensitivity: 80.3%), 83 underwent 123I-MIBG imaging (68.2%), and 66 both (sensitivity of either abnormal result: 93.9%). Visual hallucinations differed among the four subgroups based on imaging results. Additionally, nocturia and orthostatic hypotension differed between abnormal and normal 123I-MIBG images. Conclusions Overall, 123I-FP-CIT SPECT was slightly higher sensitivity than 123I-MIBG imaging, with combined imaging increasing diagnostic sensitivity. Normal results of a single imaging test may not refute DLB. Autonomic symptoms may lead to abnormal 123I-MIBG scintigraphy findings indicating body-first subtype of patients with DLB.
Collapse
Affiliation(s)
- Zhihui Tang
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Shigeki Hirano
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Yume Koizumi
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Michiko Izumi
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Yoshihisa Kitayama
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Kosuke Yamagishi
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Mitsuyoshi Tamura
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Ai Ishikawa
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Kouichi Kashiwado
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Takashi Iimori
- Department of Radiology, Chiba University Hospital, Chiba, Japan
| | - Hiroki Mukai
- Department of Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Hajime Yokota
- Department of Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Takuro Horikoshi
- Department of Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Takashi Uno
- Department of Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Satoshi Kuwabara
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| |
Collapse
|
7
|
Jreige M, Kurian GK, Perriraz J, Potheegadoo J, Bernasconi F, Stampacchia S, Blanke O, Alessandra G, Lejay N, Chiabotti PS, Rouaud O, Nicod Lalonde M, Schaefer N, Treglia G, Allali G, Prior JO. The diagnostic performance of functional dopaminergic scintigraphic imaging in the diagnosis of dementia with Lewy bodies: an updated systematic review. Eur J Nucl Med Mol Imaging 2023; 50:1988-2035. [PMID: 36920494 PMCID: PMC10199865 DOI: 10.1007/s00259-023-06154-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 02/13/2023] [Indexed: 03/16/2023]
Abstract
INTRODUCTION Dopaminergic scintigraphic imaging is a cornerstone to support the diagnosis in dementia with Lewy bodies. To clarify the current state of knowledge on this imaging modality and its impact on clinical diagnosis, we performed an updated systematic review of the literature. METHODS This systematic review was carried out according to PRISMA guidelines. A comprehensive computer literature search of PubMed/MEDLINE, EMBASE, and Cochrane Library databases for studies published through June 2022 was performed using the following search algorithm: (a) "Lewy body" [TI] OR "Lewy bodies" [TI] and (b) ("DaTscan" OR "ioflupane" OR "123ip" OR "123?ip" OR "123 ip" OR "123i-FP-CIT" OR "FPCIT" OR "FP-CIT" OR "beta?CIT" OR "beta CIT" OR "CIT?SPECT" OR "CIT SPECT" OR "Dat?scan*" OR "dat scan*" OR "dat?spect*" OR "SPECT"). Risk of bias and applicability concerns of the studies were evaluated using the QUADAS-2 tool. RESULTS We performed a qualitative analysis of 59 studies. Of the 59 studies, 19 (32%) addressed the diagnostic performance of dopamine transporter imaging, 15 (25%) assessed the identification of dementia with Lewy bodies in the spectrum of Lewy body disease and 18 (31%) investigated the role of functional dopaminergic imaging in distinguishing dementia with Lewy bodies from other dementias. Dopamine transporter loss was correlated with clinical outcomes in 19 studies (32%) and with other functional imaging modalities in 15 studies (25%). Heterogeneous technical aspects were found among the studies through the use of various radioligands, the more prevalent being the [123I]N‑ω‑fluoropropyl‑2β‑carbomethoxy‑3β‑(4‑iodophenyl) nortropane (123I-FP-CIT) in 54 studies (91.5%). Image analysis used visual analysis (9 studies, 15%), semi-quantitative analysis (29 studies, 49%), or a combination of both (16 studies, 27%). CONCLUSION Our systematic review confirms the major role of dopaminergic scintigraphic imaging in the assessment of dementia with Lewy bodies. Early diagnosis could be facilitated by identifying the prodromes of dementia with Lewy bodies using dopaminergic scintigraphic imaging coupled with emphasis on clinical neuropsychiatric symptoms. Most published studies use a semi-quantitative analytical assessment of tracer uptake, while there are no studies using quantitative analytical methods to measure dopamine transporter loss. The superiority of a purely quantitative approach to assess dopaminergic transmission more accurately needs to be further clarified.
Collapse
Affiliation(s)
- Mario Jreige
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland
| | - George K Kurian
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland
| | - Jérémy Perriraz
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Jevita Potheegadoo
- Laboratory of Cognitive Neuroscience, Neuro-X Institute & Brain Mind Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland
| | - Fosco Bernasconi
- Laboratory of Cognitive Neuroscience, Neuro-X Institute & Brain Mind Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland
| | - Sara Stampacchia
- Laboratory of Cognitive Neuroscience, Neuro-X Institute & Brain Mind Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland
| | - Olaf Blanke
- Laboratory of Cognitive Neuroscience, Neuro-X Institute & Brain Mind Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland
| | - Griffa Alessandra
- Leenaards Memory Center, Department of Clinical Neurosciences, Lausanne University Hospital, Lausanne, Switzerland
| | - Noemie Lejay
- Leenaards Memory Center, Department of Clinical Neurosciences, Lausanne University Hospital, Lausanne, Switzerland
| | - Paolo Salvioni Chiabotti
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
- Leenaards Memory Center, Department of Clinical Neurosciences, Lausanne University Hospital, Lausanne, Switzerland
| | - Olivier Rouaud
- Leenaards Memory Center, Department of Clinical Neurosciences, Lausanne University Hospital, Lausanne, Switzerland
| | - Marie Nicod Lalonde
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Niklaus Schaefer
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Giorgio Treglia
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
- Clinic of Nuclear Medicine, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, 6500, Bellinzona, Switzerland
- Faculty of Biomedical Sciences, Università Della Svizzera Italiana, 6900, Lugano, Switzerland
| | - Gilles Allali
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
- Leenaards Memory Center, Department of Clinical Neurosciences, Lausanne University Hospital, Lausanne, Switzerland
| | - John O Prior
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland.
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
| |
Collapse
|
8
|
Sensi SL, Russo M, Tiraboschi P. Biomarkers of diagnosis, prognosis, pathogenesis, response to therapy: Convergence or divergence? Lessons from Alzheimer's disease and synucleinopathies. HANDBOOK OF CLINICAL NEUROLOGY 2023; 192:187-218. [PMID: 36796942 DOI: 10.1016/b978-0-323-85538-9.00015-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Alzheimer's disease (AD) is the most common disorder associated with cognitive impairment. Recent observations emphasize the pathogenic role of multiple factors inside and outside the central nervous system, supporting the notion that AD is a syndrome of many etiologies rather than a "heterogeneous" but ultimately unifying disease entity. Moreover, the defining pathology of amyloid and tau coexists with many others, such as α-synuclein, TDP-43, and others, as a rule, not an exception. Thus, an effort to shift our AD paradigm as an amyloidopathy must be reconsidered. Along with amyloid accumulation in its insoluble state, β-amyloid is becoming depleted in its soluble, normal states, as a result of biological, toxic, and infectious triggers, requiring a shift from convergence to divergence in our approach to neurodegeneration. These aspects are reflected-in vivo-by biomarkers, which have become increasingly strategic in dementia. Similarly, synucleinopathies are primarily characterized by abnormal deposition of misfolded α-synuclein in neurons and glial cells and, in the process, depleting the levels of the normal, soluble α-synuclein that the brain needs for many physiological functions. The soluble to insoluble conversion also affects other normal brain proteins, such as TDP-43 and tau, accumulating in their insoluble states in both AD and dementia with Lewy bodies (DLB). The two diseases have been distinguished by the differential burden and distribution of insoluble proteins, with neocortical phosphorylated tau deposition more typical of AD and neocortical α-synuclein deposition peculiar to DLB. We propose a reappraisal of the diagnostic approach to cognitive impairment from convergence (based on clinicopathologic criteria) to divergence (based on what differs across individuals affected) as a necessary step for the launch of precision medicine.
Collapse
Affiliation(s)
- Stefano L Sensi
- Department of Neuroscience, Imaging, and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy; Molecular Neurology Unit, Center for Advanced Studies and Technology-CAST and ITAB Institute for Advanced Biotechnology, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy.
| | - Mirella Russo
- Department of Neuroscience, Imaging, and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy; Molecular Neurology Unit, Center for Advanced Studies and Technology-CAST and ITAB Institute for Advanced Biotechnology, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Pietro Tiraboschi
- Division of Neurology V-Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| |
Collapse
|
9
|
Russo M, Carrarini C, Di Iorio A, Pellegrino R, Bruni AC, Caratozzolo S, Chiari A, Pretta S, Marra C, Cotelli MS, Arighi A, Fumagalli GG, Cataruzza T, Caso F, Paci C, Rosso M, Amici S, Giannandrea D, Pilotto A, Luzzi S, Castellano A, D'antonio F, Luca A, Gelosa G, Piccoli T, Mauri M, Agosta F, Babiloni C, Borroni B, Bozzali M, Filippi M, Galimberti D, Monastero R, Muscio C, Parnetti L, Perani D, Serra L, Silani V, Tiraboschi P, Cagnin A, Padovani A, Bonanni L. Accuracy of the clinical diagnosis of dementia with Lewy bodies (DLB) among the Italian Dementia Centers: a study by the Italian DLB study group (DLB-SINdem). Neurol Sci 2022; 43:4221-4229. [PMID: 35244829 PMCID: PMC9213280 DOI: 10.1007/s10072-022-05987-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 02/25/2022] [Indexed: 11/25/2022]
Abstract
Introduction Dementia with Lewy bodies (DLB) may represent a diagnostic challenge, since its clinical picture overlaps with other dementia. Two toolkits have been developed to aid the clinician to diagnose DLB: the Lewy Body Composite Risk Score (LBCRS) and the Assessment Toolkit for DLB (AT-DLB). We aim to evaluate the reliability of these two questionnaires, and their ability to enhance the interpretation of the international consensus diagnostic criteria. Methods LBCRS and AT-DLB were distributed to 135 Italian Neurological Centers for Cognitive Decline and Dementia (CDCDs), with the indication to administer them to all patients with dementia referred within the subsequent 3 months. We asked to subsequently apply consensus criteria for DLB diagnosis, to validate the diagnostic accuracy of the two toolkits. Results A total of 23 Centers joined the study; 1854 patients were enrolled. We found a prevalence of possible or probable DLB of 13% each (26% total), according to the consensus criteria. LBCRS toolkit showed good reliability, with a Cronbach alpha of 0.77, stable even after removing variables from the construct. AT-DLB toolkit Cronbach alpha was 0.52 and, after the subtraction of the “cognitive fluctuation” criterion, was only 0.31. Accuracy, sensitivity, and specificity were higher for LBCRS vs. AT-DLB. However, when simultaneously considered in the logistic models, AT-DLB showed a better performance (p < 0.001). Overall, the concordance between LBCRS positive and AT-DLB possible/probable was of 78.02% Conclusions In a clinical setting, the LBCRS and AT-DLB questionnaires have good accuracy for DLB diagnosis. Supplementary Information The online version contains supplementary material available at 10.1007/s10072-022-05987-z.
Collapse
Affiliation(s)
- Mirella Russo
- Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Claudia Carrarini
- Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Angelo Di Iorio
- Department of Medicine and Aging Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Raffaello Pellegrino
- Department of Medicine and Aging Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Amalia Cecilia Bruni
- Regional Neurogenetic Centre, Department of Primary Care, ASP-CZ, Lamezia Terme, Italy
| | - Salvatore Caratozzolo
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Annalisa Chiari
- U.O. Di Neurologia, Azienda Ospedaliera Universitaria Di Modena, Modena, Italy
| | - Stefano Pretta
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Camillo Marra
- Memory Clinic, Fondazione Policlinico Gemelli, IRCCS Università, Cattolica del Sacro Cuore, Rome, Italy
| | | | - Andrea Arighi
- UOSD Neurologia, Malattie Neurodegenerative, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Giorgio G Fumagalli
- UOSD Neurologia, Malattie Neurodegenerative, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Tatiana Cataruzza
- Department of Medicine, Surgery and Health Sciences, Neurology Unit, University Hospital and Health Services of Trieste, Trieste, Italy
| | - Francesca Caso
- Unit of Neurology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Cristina Paci
- Division of Neurology, Ospedale Madonna del Soccorso, ASUR Marche, San Benedetto del Tronto-Ascoli, Piceno, Italy
| | - Mara Rosso
- Neurology Clinic, SS Annunziata Hospital of Savigliano, Savigliano, Italy
| | - Serena Amici
- Cognitive Disorder and Dementia Unit, USL Umbria 1, Perugia, Italy
| | - David Giannandrea
- Neurologia E Stroke Unit, Ospedale Di Gubbio E Gualdo Tadino, Perugia, Italy
| | - Andrea Pilotto
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Simona Luzzi
- Department of Experimental and Clinical Medicine, Polytechnic University of Marche - Ospedali Riuniti, Ancona, Italy
| | | | - Fabrizia D'antonio
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Antonina Luca
- Department of Medical, Surgical Sciences and Advanced Technologies, GF Ingrassia, University of Catania, Catania, Italy
| | - Giorgio Gelosa
- Cognitive Neuropsychology Center, Niguarda Hospital, Milan, Italy
| | - Tommaso Piccoli
- Unit of Neurology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Marco Mauri
- Department of Biotechnologies and Life Sciences, University of Insubria, Varese, Italy
| | - Federica Agosta
- Unit of Neurology, Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milan, Italy
| | - Claudio Babiloni
- Department of Physiology and Pharmacology "V. Erspamer, Sapienza University of Rome, Rome, Italy
- Hospital San Raffaele Cassino (FR), Cassino, Italy
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Marco Bozzali
- Department of Neuroscience, University of Turin, Turin, Italy
| | - Massimo Filippi
- Unit of Neurology, Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milan, Italy
| | - Daniela Galimberti
- UOSD Neurologia, Malattie Neurodegenerative, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Roberto Monastero
- Section of Neurology, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Cristina Muscio
- Neurology 5-Neuropathology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Lucilla Parnetti
- Laboratory of Clinical Neurochemistry, Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Daniela Perani
- In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Laura Serra
- Neuroimaging Laboratory, Fondazione Santa Lucia, IRCCS, Rome, Italy
| | - Vincenzo Silani
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano and Università Degli Studi Di Milano, Milano, Italy
| | - Pietro Tiraboschi
- Neurology 5-Neuropathology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | | | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Laura Bonanni
- Department of Medicine and Aging Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy.
| |
Collapse
|
10
|
Morbelli S, Chiola S, Donegani MI, Arnaldi D, Pardini M, Mancini R, Lanfranchi F, D'amico F, Bauckneht M, Miceli A, Biassoni E, Orso B, Barisione E, Benedetti L, Gianmario S, Nobili F. Metabolic correlates of olfactory dysfunction in COVID-19 and Parkinson's disease (PD) do not overlap. Eur J Nucl Med Mol Imaging 2022; 49:1939-1950. [PMID: 34984501 PMCID: PMC8727173 DOI: 10.1007/s00259-021-05666-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 12/19/2021] [Indexed: 12/20/2022]
Abstract
Purpose Hyposmia is a common feature of COVID-19 and Parkinson’s disease (PD). As parkinsonism has been reported after COVID-19, a link has been hypothesized between SARS-CoV2 infection and PD. We aimed to evaluate brain metabolic correlates of isolated persistent hyposmia after mild-to-moderate COVID-19 and to compare them with metabolic signature of hyposmia in drug-naïve PD patients. Methods Forty-four patients who experienced hyposmia after SARS-COV2 infection underwent brain [18F]-FDG PET in the first 6 months after recovery. Olfaction was assessed by means of the 16-item “Sniffin’ Sticks” test and patients were classified as with or without persistent hyposmia (COVID-hyposmia and COVID-no-hyposmia respectively). Brain [18F]-FDG PET of post-COVID subgroups were compared in SPM12. COVID-hyposmia patients were also compared with eighty-two drug-naïve PD patients with hyposmia. Multiple regression analysis was used to identify correlations between olfactory test scores and brain metabolism in patients’ subgroups. Results COVID-hyposmia patients (n = 21) exhibited significant hypometabolism in the bilateral gyrus rectus and orbitofrontal cortex with respect to COVID-non-hyposmia (n = 23) (p < 0.002) and in middle and superior temporal gyri, medial/middle frontal gyri, and right insula with respect to PD-hyposmia (p < 0.012). With respect to COVID-hyposmia, PD-hyposmia patients showed hypometabolism in inferior/middle occipital gyri and cuneus bilaterally. Olfactory test scores were directly correlated with metabolism in bilateral rectus and medial frontal gyri and in the right middle temporal and anterior cingulate gyri in COVID-hyposmia patients (p < 0.006) and with bilateral cuneus/precuneus and left lateral occipital cortex in PD-hyposmia patients (p < 0.004). Conclusion Metabolic signature of persistent hyposmia after COVID-19 encompasses cortical regions involved in olfactory perception and does not overlap metabolic correlates of hyposmia in PD.
Collapse
Affiliation(s)
- Silvia Morbelli
- IRCCS Ospedale Policlinico San Martino, Genova, Italy. .,Nuclear Medicine Unit, Department of Health Sciences, University of Genoa, Genoa, Italy.
| | - Silvia Chiola
- Humanitas Clinical and Research Center-IRCCS, Via Manzoni 56, Rozzano, 20089, Milan, Italy.,Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090, Pieve Emanuele, Italy
| | - Maria Isabella Donegani
- IRCCS Ospedale Policlinico San Martino, Genova, Italy.,Nuclear Medicine Unit, Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Dario Arnaldi
- IRCCS Ospedale Policlinico San Martino, Genova, Italy.,Department of Neuroscience (DINOGMI), University of Genoa, 516126, Genoa, Italy
| | - Matteo Pardini
- IRCCS Ospedale Policlinico San Martino, Genova, Italy.,Department of Neuroscience (DINOGMI), University of Genoa, 516126, Genoa, Italy
| | - Raffaele Mancini
- IRCCS Ospedale Policlinico San Martino, Genova, Italy.,Department of Neuroscience (DINOGMI), University of Genoa, 516126, Genoa, Italy
| | - Francesco Lanfranchi
- IRCCS Ospedale Policlinico San Martino, Genova, Italy.,Nuclear Medicine Unit, Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Francesca D'amico
- IRCCS Ospedale Policlinico San Martino, Genova, Italy.,Nuclear Medicine Unit, Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Matteo Bauckneht
- IRCCS Ospedale Policlinico San Martino, Genova, Italy.,Nuclear Medicine Unit, Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Alberto Miceli
- IRCCS Ospedale Policlinico San Martino, Genova, Italy.,Nuclear Medicine Unit, Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Erica Biassoni
- IRCCS Ospedale Policlinico San Martino, Genova, Italy.,Department of Neuroscience (DINOGMI), University of Genoa, 516126, Genoa, Italy
| | - Beatrice Orso
- IRCCS Ospedale Policlinico San Martino, Genova, Italy.,Department of Neuroscience (DINOGMI), University of Genoa, 516126, Genoa, Italy
| | - Emanuela Barisione
- Interventional Pulmonology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Luana Benedetti
- IRCCS Ospedale Policlinico San Martino, Genova, Italy.,Department of Neuroscience (DINOGMI), University of Genoa, 516126, Genoa, Italy
| | - Sambuceti Gianmario
- IRCCS Ospedale Policlinico San Martino, Genova, Italy.,Nuclear Medicine Unit, Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Flavio Nobili
- IRCCS Ospedale Policlinico San Martino, Genova, Italy.,Department of Neuroscience (DINOGMI), University of Genoa, 516126, Genoa, Italy
| |
Collapse
|
11
|
D'Antonio F, Kane JP, Ibañez A, Lewis SJ, Camicioli R, Wang H, Yu Y, Zhang J, Ji Y, Borda MG, Kandadai RM, Babiloni C, Bonanni L, Ikeda M, Boeve BF, Leverenz JB, Aarsland D. Dementia with Lewy bodies research consortia: A global perspective from the ISTAART Lewy Body Dementias Professional Interest Area working group. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12235. [PMID: 34541289 PMCID: PMC8438683 DOI: 10.1002/dad2.12235] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 06/21/2021] [Accepted: 07/01/2021] [Indexed: 11/17/2022]
Abstract
Dementia with Lewy bodies (DLB) research has seen a significant growth in international collaboration over the last three decades. However, researchers face a challenge in identifying large and diverse samples capable of powering longitudinal studies and clinical trials. The DLB research community has begun to focus efforts on supporting the development and harmonization of consortia, while also continuing to forge networks within which data and findings can be shared. This article describes the current state of DLB research collaborations on each continent. We discuss several established DLB cohorts, many of whom have adopted a common framework, and identify emerging collaborative initiatives that hold the potential to expand DLB networks and diversify research cohorts. Our findings identify geographical areas into which the global DLB networks should seek to expand, and we propose strategies, such as the creation of data-sharing platforms and the harmonization of protocols, which may further potentiate international collaboration.
Collapse
Affiliation(s)
| | | | - Agustin Ibañez
- Latin American Institute for Brain Health (BrainLat)Universidad Adolfo IbanezSantiagoChile
- Cognitive Neuroscience Center (CNC)Universidad de San AndrésBuenos AiresArgentina
- National Scientific and Technical Research Council (CONICET)Buenos AiresArgentina
- Global Brain Health Institute (GBHI)San Francisco, California, and DublinIreland
| | - Simon J.G. Lewis
- Brain and Mind CentreSchool of Medical SciencesUniversity of SydneySydneyNew South WalesAustralia
| | - Richard Camicioli
- Department of MedicineUniversity of AlbertaCanada
- Neuroscience and Mental Health InstituteUniversity of AlbertaEdmontonAlbertaCanada
| | - Huali Wang
- Dementia Care and Research CenterPeking University Institute of Mental Health (Sixth Hospital)BeijingChina
- Beijing Dementia Key LabNational Health Commission Key Laboratory of Mental HealthBeijingChina
- National Clinical Research Center for Mental DisordersBeijingChina
| | - Yueyi Yu
- Innovation Center for Neurological DisordersDepartment of NeurologyXuanwu HospitalCapital Medical UniversityBeijingChina
| | - Jing Zhang
- Department of PathologyThe First Affiliated Hospital and School of MedicineZhejiang UniversityHangzhouChina
| | - Yong Ji
- China National Clinical Research Center for Neurological DiseaseBeijing Tiantan HospitalCapital Medical UniversityBeijingChina
- Tianjin Huanhu HospitalTianjinChina
- Tianjin Dementia InstituteTianjinChina
| | - Miguel Germán Borda
- Centre for Age‐Related Medicine (SESAM)Stavanger University HospitalStavangerNorway
- Semillero de Neurociencias y EnvejecimientoAgeing InstituteMedical SchoolPontificia Universidad JaverianaBogotáColombia
- Faculty of Health SciencesUniversity of StavangerStavangerNorway
| | | | - Claudio Babiloni
- Department of Physiology and Pharmacology “Vittorio Erspamer,”Sapienza University of RomeRomeItaly
- Hospital San Raffaele of CassinoCassinoItaly
| | - Laura Bonanni
- Department of NeuroscienceImaging andClinical SciencesUniversity G. d'Annunzio of Chieti‐PescaraChietiItaly
| | - Manabu Ikeda
- Department of PsychiatryOsaka University Graduate School of MedicineOsakaJapan
| | | | - James B. Leverenz
- Lou Ruvo Center for Brain HealthNeurological InstituteCleveland ClinicClevelandOhioUSA
| | - Dag Aarsland
- Centre for Age‐Related Medicine (SESAM)Stavanger University HospitalStavangerNorway
- Department of Old Age PsychiatryInstitute of PsychiatryPsychology and NeuroscienceKing's College LondonLondonUK
| | | |
Collapse
|
12
|
Combi R, Salsone M, Villa C, Ferini-Strambi L. Genetic Architecture and Molecular, Imaging and Prodromic Markers in Dementia with Lewy Bodies: State of the Art, Opportunities and Challenges. Int J Mol Sci 2021; 22:3960. [PMID: 33921279 PMCID: PMC8069386 DOI: 10.3390/ijms22083960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 04/03/2021] [Accepted: 04/09/2021] [Indexed: 11/16/2022] Open
Abstract
Dementia with Lewy bodies (DLB) is one of the most common causes of dementia and belongs to the group of α-synucleinopathies. Due to its clinical overlap with other neurodegenerative disorders and its high clinical heterogeneity, the clinical differential diagnosis of DLB from other similar disorders is often difficult and it is frequently underdiagnosed. Moreover, its genetic etiology has been studied only recently due to the unavailability of large cohorts with a certain diagnosis and shows genetic heterogeneity with a rare contribution of pathogenic mutations and relatively common risk factors. The rapid increase in the reported cases of DLB highlights the need for an easy, efficient and accurate diagnosis of the disease in its initial stages in order to halt or delay the progression. The currently used diagnostic methods proposed by the International DLB consortium rely on a list of criteria that comprises both clinical observations and the use of biomarkers. Herein, we summarize the up-to-now reported knowledge on the genetic architecture of DLB and discuss the use of prodromal biomarkers as well as recent promising candidates from alternative body fluids and new imaging techniques.
Collapse
Affiliation(s)
- Romina Combi
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy;
| | - Maria Salsone
- Institute of Molecular Bioimaging and Physiology, National Research Council, 20054 Segrate (MI), Italy;
- Department of Clinical Neurosciences, Neurology-Sleep Disorder Center, IRCCS San Raffaele Scientific Institute, 20127 Milan, Italy
| | - Chiara Villa
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy;
| | - Luigi Ferini-Strambi
- Department of Clinical Neurosciences, Neurology-Sleep Disorder Center, IRCCS San Raffaele Scientific Institute, 20127 Milan, Italy
- Department of Clinical Neurosciences, “Vita-Salute” San Raffaele University, 20127 Milan, Italy
| |
Collapse
|
13
|
Foley RW, Redman SL, Laurence IJ, Graham RN, Little D. Interobserver Agreement in the Diagnosis of Parkinson Disease with Cardiac 123I-Metaiodobenzylguanidine Scintigraphy. J Nucl Med Technol 2021; 49:262-264. [PMID: 33820859 DOI: 10.2967/jnmt.120.258632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 03/12/2021] [Indexed: 11/16/2022] Open
Abstract
The aim of this study was to analyze the interobserver agreement of visual and quantitative assessment of cardiac 123I-metaiodobenzylguanidine scintigraphy. Methods: Planar images were acquired using a low-energy collimator. The heart-to-mediastinum (HM) ratio was adjusted for the use of a low-energy collimator, using a published formula. Interpretation was undertaken both visually and after the addition of adjusted HM ratios. Image findings were classified as normal, abnormal, or borderline. Results: The cohort consisted of 10 patients. On visual interpretation only, there was strong agreement on the interpretation of the scan (κ = 0.82, P < 0.01). Adjusted HM ratios led to a significant increase in mean ratios (1.79 vs. 1.36, P = 0.02) and, when utilized in reporting, resulted in perfect agreement (κ = 1.0, P < 0.01). Conclusion: The use of quantified HM ratios adjusted for low-energy collimator use improves on visual assessment alone and allowed for excellent interobserver agreement.
Collapse
Affiliation(s)
- Robert W Foley
- Department of Radiology, Royal United Hospitals Bath NHS Foundation Trust, Bath, United Kingdom; and
| | - Stewart L Redman
- Department of Radiology, Royal United Hospitals Bath NHS Foundation Trust, Bath, United Kingdom; and
| | - Isabel J Laurence
- Department of Radiology, Southmead Hospital, North Bristol NHS Trust, North Bristol, United Kingdom
| | - Richard N Graham
- Department of Radiology, Royal United Hospitals Bath NHS Foundation Trust, Bath, United Kingdom; and
| | - David Little
- Department of Radiology, Royal United Hospitals Bath NHS Foundation Trust, Bath, United Kingdom; and
| |
Collapse
|
14
|
Duignan JA, Haughey A, Kinsella JA, Killeen RP. Molecular and Anatomical Imaging of Dementia With Lewy Bodies and Frontotemporal Lobar Degeneration. Semin Nucl Med 2021; 51:264-274. [PMID: 33402272 DOI: 10.1053/j.semnuclmed.2020.12.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Dementia with Lewy bodies (DLB) and frontotemporal lobar degeneration (FTLD) are common causes of dementia. Early diagnosis of both conditions is challenging due to clinical and radiological overlap with other forms of dementia, particularly Alzheimer's disease (AD). Structural and functional imaging combined can aid differential diagnosis and help to discriminate DLB or FTLD from other forms of dementia. Imaging of DLB involves the use of 123I-FP-CIT SPECT and 123I-metaiodobenzylguanidine (123I-MIBG), both of which have an established role distinguishing DLB from AD. AD is also characterised by more pronounced atrophy of the medial temporal lobe structures when compared to DLB and these can be assessed at MR using the Medial Temporal Atrophy Scale. 18F-FDG-PET is used as a supportive biomarker for the diagnoses of DLB and can distinguish DLB from AD with high accuracy. Polysomnography and electroencephalography also have established roles in the diagnoses of DLB. FTLD is a heterogenous group of neurodegenerative disorders characterised pathologically by abnormally aggregated proteins. Clinical subtypes include behavioral variant FTD (bvFTD), primary progressive aphasia (PPA), which can be subdivided into semantic variant PPA (svPPA) or nonfluent agrammatic PPA (nfaPPA) and FTD associated with motor neuron disease (FTD-MND). Structural imaging is often the first step in making an image supported diagnoses of FTLD. Regional patterns of atrophy can be assessed on MR and graded according to the global cortical atrophy scale. FTLD is typically associated with atrophy of the frontal and temporal lobes. The patterns of atrophy are associated with the specific clinical subtypes, underlying neuropathology and genetic mutations although there is significant overlap. 18F-FDG-PET is useful for distinguishing FTLD from other forms of dementia and focal areas of hypometabolism can often precede atrophy identified on structural MR imaging. There are currently no biomarkers with which to unambiguously diagnose DLB or FTLD and both conditions demonstrate a wide range of heterogeneity. A combined approach of structural and functional imaging improves diagnostic accuracy in both conditions.
Collapse
Affiliation(s)
- John A Duignan
- Department of Radiology, St Vincent's University Hospital, Dublin 4, Ireland; UCD - SVUH PET CT Research Centre, St Vincent's University Hospital, Dublin 4, Ireland
| | - Aoife Haughey
- Department of Radiology, St Vincent's University Hospital, Dublin 4, Ireland; UCD - SVUH PET CT Research Centre, St Vincent's University Hospital, Dublin 4, Ireland
| | - Justin A Kinsella
- Department of Neurology, St Vincent's University Hospital, UCD, Dublin 4, Ireland
| | - Ronan P Killeen
- Department of Radiology, St Vincent's University Hospital, Dublin 4, Ireland; UCD - SVUH PET CT Research Centre, St Vincent's University Hospital, Dublin 4, Ireland.
| |
Collapse
|
15
|
Chételat G, Arbizu J, Barthel H, Garibotto V, Law I, Morbelli S, van de Giessen E, Agosta F, Barkhof F, Brooks DJ, Carrillo MC, Dubois B, Fjell AM, Frisoni GB, Hansson O, Herholz K, Hutton BF, Jack CR, Lammertsma AA, Landau SM, Minoshima S, Nobili F, Nordberg A, Ossenkoppele R, Oyen WJG, Perani D, Rabinovici GD, Scheltens P, Villemagne VL, Zetterberg H, Drzezga A. Amyloid-PET and 18F-FDG-PET in the diagnostic investigation of Alzheimer's disease and other dementias. Lancet Neurol 2020; 19:951-962. [PMID: 33098804 DOI: 10.1016/s1474-4422(20)30314-8] [Citation(s) in RCA: 265] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2019] [Revised: 07/22/2020] [Accepted: 08/06/2020] [Indexed: 12/14/2022]
Abstract
Various biomarkers are available to support the diagnosis of neurodegenerative diseases in clinical and research settings. Among the molecular imaging biomarkers, amyloid-PET, which assesses brain amyloid deposition, and 18F-fluorodeoxyglucose (18F-FDG) PET, which assesses glucose metabolism, provide valuable and complementary information. However, uncertainty remains regarding the optimal timepoint, combination, and an order in which these PET biomarkers should be used in diagnostic evaluations because conclusive evidence is missing. Following an expert panel discussion, we reached an agreement on the specific use of the individual biomarkers, based on available evidence and clinical expertise. We propose a diagnostic algorithm with optimal timepoints for these PET biomarkers, also taking into account evidence from other biomarkers, for early and differential diagnosis of neurodegenerative diseases that can lead to dementia. We propose three main diagnostic pathways with distinct biomarker sequences, in which amyloid-PET and 18F-FDG-PET are placed at different positions in the order of diagnostic evaluations, depending on clinical presentation. We hope that this algorithm can support diagnostic decision making in specialist clinical settings with access to these biomarkers and might stimulate further research towards optimal diagnostic strategies.
Collapse
Affiliation(s)
- Gaël Chételat
- Normandie Université, Université de Caen, Institut National de la Santé et de la Recherche Médicale, Unité 1237, Groupement d'Intérêt Public Cyceron, Caen, France.
| | - Javier Arbizu
- Department of Nuclear Medicine, University of Navarra, Clinica Universidad de Navarra, Pamplona, Spain
| | - Henryk Barthel
- Department of Nuclear Medicine, University Hospital of Leipzig, Leipzig, Germany
| | - Valentina Garibotto
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals and NIMTlab, Geneva University, Geneva, Switzerland
| | - Ian Law
- Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Silvia Morbelli
- Nuclear Medicine Unit, Istituto di Ricovero e Cura a Carattere Scientifico Ospedale Policlinico San Martino, Genova, Italy
| | - Elsmarieke van de Giessen
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands
| | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Istituto di Ricovero e Cura a Carattere, San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands; Institutes of Neurology and Healthcare Engineering, University College London, London, UK
| | - David J Brooks
- Institute of Neuroscience, Newcastle University, Newcastle, UK; Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark
| | | | - Bruno Dubois
- Centre des Maladies Cognitives et Comportementales, University Hospital of Pitié Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne-Université, Paris, France
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway, Oslo; Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Giovanni B Frisoni
- Memory Clinic, Department of Rehabilitation and Geriatrics, Geneva University and University Hospitals, Geneva, Switzerland
| | - Oskar Hansson
- Clinical Memory Research Unit, Lund University, Malmö, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Karl Herholz
- Wolfson Molecular Imaging Centre, Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, UK
| | - Brian F Hutton
- Institute of Nuclear Medicine, University College London, London, UK
| | | | - Adriaan A Lammertsma
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Susan M Landau
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Satoshi Minoshima
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA
| | - Flavio Nobili
- UO Clinica Neurologica, Istituto di Ricovero e Cura a Carattere Scientifico Ospedale Policlinico San Martino, Genova, Italy; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Child and Mother Health, University of Genoa, Genova, Italy
| | - Agneta Nordberg
- Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden
| | - Rik Ossenkoppele
- Department of Neurology, Alzheimer Center, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands; Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Wim J G Oyen
- Humanitas University and Humanitas Clinical and Research Center, Department of Nuclear Medicine, Milan, Italy; Rijnstate, Department of Radiology and Nuclear Medicine, Arnhem, Netherlands; Radboud UMC, Department of Radiology and Nuclear Medicine, Nijmegen, Netherlands
| | - Daniela Perani
- Vita-Salute San Raffaele University, Nuclear Medicine Unit, San Raffaele Hospital, Division of Neuroscience San Raffaele Scientific Institute, Milan, Italy
| | - Gil D Rabinovici
- Departments of Neurology, Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Philip Scheltens
- Department of Neurology, Alzheimer Center, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Victor L Villemagne
- Department of Molecular Imaging & Therapy, Austin Health, Department of Medicine, University of Melbourne, Austin Health, Heidelberg, VIC, Australia; School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
| | - Henrik Zetterberg
- Department of Neurodegenerative Disease, Institute of Neurology, University College London, London, UK; Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at University College London, London, UK
| | - Alexander Drzezga
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany; German Center for Neurodegenerative Diseases, Bonn-Cologne, Germany; Institute of Neuroscience and Medicine, Molecular Organization of the Brain, Forschungszentrum Jülich, Germany
| |
Collapse
|
16
|
EANM practice guideline/SNMMI procedure standard for dopaminergic imaging in Parkinsonian syndromes 1.0. Eur J Nucl Med Mol Imaging 2020; 47:1885-1912. [PMID: 32388612 PMCID: PMC7300075 DOI: 10.1007/s00259-020-04817-8] [Citation(s) in RCA: 133] [Impact Index Per Article: 26.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Accepted: 04/06/2020] [Indexed: 02/05/2023]
Abstract
Purpose This joint practice guideline or procedure standard was developed collaboratively by the European Association of Nuclear Medicine (EANM) and the Society of Nuclear Medicine and Molecular Imaging (SNMMI). The goal of this guideline is to assist nuclear medicine practitioners in recommending, performing, interpreting, and reporting the results of dopaminergic imaging in parkinsonian syndromes. Methods Currently nuclear medicine investigations can assess both presynaptic and postsynaptic function of dopaminergic synapses. To date both EANM and SNMMI have published procedural guidelines for dopamine transporter imaging with single photon emission computed tomography (SPECT) (in 2009 and 2011, respectively). An EANM guideline for D2 SPECT imaging is also available (2009). Since the publication of these previous guidelines, new lines of evidence have been made available on semiquantification, harmonization, comparison with normal datasets, and longitudinal analyses of dopamine transporter imaging with SPECT. Similarly, details on acquisition protocols and simplified quantification methods are now available for dopamine transporter imaging with PET, including recently developed fluorinated tracers. Finally, [18F]fluorodopa PET is now used in some centers for the differential diagnosis of parkinsonism, although procedural guidelines aiming to define standard procedures for [18F]fluorodopa imaging in this setting are still lacking. Conclusion All these emerging issues are addressed in the present procedural guidelines for dopaminergic imaging in parkinsonian syndromes.
Collapse
|
17
|
Boccardi M, Nicolosi V, Festari C, Bianchetti A, Cappa S, Chiasserini D, Falini A, Guerra UP, Nobili F, Padovani A, Sancesario G, Morbelli S, Parnetti L, Tiraboschi P, Muscio C, Perani D, Pizzini FB, Beltramello A, Salvini Porro G, Ciaccio M, Schillaci O, Trabucchi M, Tagliavini F, Frisoni GB. Italian consensus recommendations for a biomarker-based aetiological diagnosis in mild cognitive impairment patients. Eur J Neurol 2019; 27:475-483. [PMID: 31692118 DOI: 10.1111/ene.14117] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 11/04/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND PURPOSE Biomarkers support the aetiological diagnosis of neurocognitive disorders in vivo. Incomplete evidence is available to drive clinical decisions; available diagnostic algorithms are generic and not very helpful in clinical practice. The aim was to develop a biomarker-based diagnostic algorithm for mild cognitive impairment patients, leveraging on knowledge from recognized national experts. METHODS With a Delphi procedure, experienced clinicians making variable use of biomarkers in clinical practice and representing five Italian scientific societies (neurology - Società Italiana di Neurologia per le Demenze; neuroradiology - Associazione Italiana di Neuroradiologia; biochemistry - Società Italiana di Biochimica Clinica; psychogeriatrics - Associazione Italiana di Psicogeriatria; nuclear medicine - Associazione Italiana di Medicina Nucleare) defined the theoretical framework, relevant literature, the diagnostic issues to be addressed and the diagnostic algorithm. An N-1 majority defined consensus achievement. RESULTS The panellists chose the 2011 National Institute on Aging and Alzheimer's Association diagnostic criteria as the reference theoretical framework and defined the algorithm in seven Delphi rounds. The algorithm includes baseline clinical and cognitive assessment, blood examination, and magnetic resonance imaging with exclusionary and inclusionary roles; dopamine transporter single-photon emission computed tomography (if no/unclear parkinsonism) or metaiodobenzylguanidine cardiac scintigraphy for suspected dementia with Lewy bodies with clear parkinsonism (round VII, votes (yes-no-abstained): 3-1-1); 18 F-fluorodeoxyglucose positron emission tomography for suspected frontotemporal lobar degeneration and low diagnostic confidence of Alzheimer's disease (round VII, 4-0-1); cerebrospinal fluid for suspected Alzheimer's disease (round IV, 4-1-0); and amyloid positron emission tomography if cerebrospinal fluid was not possible/accepted (round V, 4-1-0) or inconclusive (round VI, 5-0-0). CONCLUSIONS These consensus recommendations can guide clinicians in the biomarker-based aetiological diagnosis of mild cognitive impairment, whilst guidelines cannot be defined with evidence-to-decision procedures due to incomplete evidence.
Collapse
Affiliation(s)
- M Boccardi
- IRCCS Istituto Centro S.Giovanni di Dio-Fatebenefratelli, Brescia, Italy.,University of Geneva, Geneva, Switzerland
| | - V Nicolosi
- IRCCS Istituto Centro S.Giovanni di Dio-Fatebenefratelli, Brescia, Italy
| | - C Festari
- IRCCS Istituto Centro S.Giovanni di Dio-Fatebenefratelli, Brescia, Italy.,University of Brescia, Brescia, Italy
| | - A Bianchetti
- Istituto Clinico S. Anna, Brescia, Italy.,Italian Psychogeriatric Association (AIP), Brescia, Italy
| | - S Cappa
- IRCCS Istituto Centro S.Giovanni di Dio-Fatebenefratelli, Brescia, Italy.,University Institute of Higher Studies, Pavia, Italy.,Italian Society of Neurology for the Study of the Dementias (SINdem), Milan, Italy
| | - D Chiasserini
- University of Perugia, Perugia, Italy.,Italian Society of Clinical Biochemistry and Clinical Molecular Biology - Laboratory Medicine (SIBioC), Rimini, Italy
| | - A Falini
- IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy.,Italian Association of Neuroradiology (AINR), Milan, Italy
| | - U P Guerra
- Poliambulanza Foundation, Brescia, Italy.,Italian Association of Nuclear Medicine (AIMN), Bari, Italy
| | - F Nobili
- Italian Association of Nuclear Medicine (AIMN), Bari, Italy.,University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - A Padovani
- Italian Society of Neurology for the Study of the Dementias (SINdem), Milan, Italy.,Brescia University Hospital, Brescia, Italy
| | - G Sancesario
- Italian Society of Clinical Biochemistry and Clinical Molecular Biology - Laboratory Medicine (SIBioC), Rimini, Italy.,IRCCS Santa Lucia Foundation, Neuroimmunology Unit Via Ardeatina 354, Rome, Italy
| | - S Morbelli
- University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - L Parnetti
- Ospedale S. Maria della Misericordia, University of Perugia, Perugia, Italy
| | | | - C Muscio
- IRCCS 'Carlo Besta', Milan, Italy
| | - D Perani
- IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | | | - A Beltramello
- Verona University Hospital, Verona, Italy.,IRCCS 'Sacro Cuore-Don Calabria', Negrar, Verona, Italy
| | | | - M Ciaccio
- Italian Society of Clinical Biochemistry and Clinical Molecular Biology - Laboratory Medicine (SIBioC), Rimini, Italy.,University of Palermo, Palermo, Italy
| | - O Schillaci
- University Tor Vergata, Rome, Italy.,IRCCS-Neuromed, Pozzilli, Italy
| | - M Trabucchi
- Italian Psychogeriatric Association (AIP), Brescia, Italy.,University Tor Vergata, Rome, Italy
| | | | - G B Frisoni
- IRCCS Istituto Centro S.Giovanni di Dio-Fatebenefratelli, Brescia, Italy.,University of Geneva, Geneva, Switzerland
| |
Collapse
|
18
|
McCarter SJ, Tabatabai GM, Jong HY, Sandness DJ, Timm PC, Johnson KL, McCarter AR, Savica R, Vemuri P, Machulda MM, Kantarci K, Mielke MM, Boeve BF, Silber MH, St Louis EK. REM sleep atonia loss distinguishes synucleinopathy in older adults with cognitive impairment. Neurology 2019; 94:e15-e29. [PMID: 31831602 DOI: 10.1212/wnl.0000000000008694] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 06/28/2019] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE To determine whether quantitative polysomnographic REM sleep without atonia (RSWA) distinguishes between cognitive impairment phenotypes. BACKGROUND Neurodegenerative cognitive impairment in older adults predominantly correlates with tauopathy or synucleinopathy. Accurate antemortem phenotypic diagnosis has important prognostic and treatment implications; additional clinical tools might distinguish between dementia syndromes. METHODS We quantitatively analyzed RSWA in 61 older adults who underwent polysomnography including 46 with cognitive impairment (20 probable synucleinopathy), 26 probable non-synucleinopathy (15 probable Alzheimer disease, 11 frontotemporal lobar dementia), and 15 age- and sex-matched controls. Submentalis and anterior tibialis RSWA metrics and automated REM atonia index were calculated. Group statistical comparisons and regression were performed, and receiver operating characteristic curves determined diagnostic RSWA thresholds that best distinguished synucleinopathy phenotype. RESULTS Submentalis-but not anterior tibialis RSWA-was greater in synucleinopathy than nonsynucleinopathy; several RSWA diagnostic thresholds distinguished synucleinopathy with excellent specificity including submentalis tonic, 5.6% (area under the curve [AUC] 0.791); submentalis any, 15.0% (AUC 0.871); submentalis phasic, 10.8% (AUC 0.863); and anterior tibialis phasic, 31.4% (AUC 0.694). In the subset of patients without dream enactment behaviors, submentalis RSWA was also greater in patients with synucleinopathy than in those without synucleinopathy. RSWA was detected more frequently by quantitative than qualitative methods (p = 0.0001). CONCLUSION Elevated submentalis RSWA distinguishes probable synucleinopathy from probable nonsynucleinopathy in cognitively impaired older adults, even in the absence of clinical dream enactment symptoms. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that quantitative RSWA analysis is useful for distinguishing cognitive impairment phenotypes. Further studies with pathologic confirmation of dementia diagnoses are needed to confirm the diagnostic utility of RSWA in dementia.
Collapse
Affiliation(s)
- Stuart J McCarter
- From the Mayo Center for Sleep Medicine (S.J.M., G.M.T., D.J.S., P.C.T., K.L.J., A.R.M., R.S., M.M.M., B.F.B., M.H.B., E.K.S.L.) and Departments of Neurology (S.J.M., P.V., B.F.B., M.H.S., E.K.S.L.), Health Science Research (R.S., M.M.M.), Psychology (M.M.M.), Radiology (K.K.), and Medicine (E.K.S.L.), Mayo Clinic and Foundation, Rochester, MN; Department of Neurology (H.-Y.J.), Providence Neurological Specialties-West, Portland, OR; and University of Minnesota Duluth (A.R.M.)
| | - Grace M Tabatabai
- From the Mayo Center for Sleep Medicine (S.J.M., G.M.T., D.J.S., P.C.T., K.L.J., A.R.M., R.S., M.M.M., B.F.B., M.H.B., E.K.S.L.) and Departments of Neurology (S.J.M., P.V., B.F.B., M.H.S., E.K.S.L.), Health Science Research (R.S., M.M.M.), Psychology (M.M.M.), Radiology (K.K.), and Medicine (E.K.S.L.), Mayo Clinic and Foundation, Rochester, MN; Department of Neurology (H.-Y.J.), Providence Neurological Specialties-West, Portland, OR; and University of Minnesota Duluth (A.R.M.)
| | - Ho-Yann Jong
- From the Mayo Center for Sleep Medicine (S.J.M., G.M.T., D.J.S., P.C.T., K.L.J., A.R.M., R.S., M.M.M., B.F.B., M.H.B., E.K.S.L.) and Departments of Neurology (S.J.M., P.V., B.F.B., M.H.S., E.K.S.L.), Health Science Research (R.S., M.M.M.), Psychology (M.M.M.), Radiology (K.K.), and Medicine (E.K.S.L.), Mayo Clinic and Foundation, Rochester, MN; Department of Neurology (H.-Y.J.), Providence Neurological Specialties-West, Portland, OR; and University of Minnesota Duluth (A.R.M.)
| | - David J Sandness
- From the Mayo Center for Sleep Medicine (S.J.M., G.M.T., D.J.S., P.C.T., K.L.J., A.R.M., R.S., M.M.M., B.F.B., M.H.B., E.K.S.L.) and Departments of Neurology (S.J.M., P.V., B.F.B., M.H.S., E.K.S.L.), Health Science Research (R.S., M.M.M.), Psychology (M.M.M.), Radiology (K.K.), and Medicine (E.K.S.L.), Mayo Clinic and Foundation, Rochester, MN; Department of Neurology (H.-Y.J.), Providence Neurological Specialties-West, Portland, OR; and University of Minnesota Duluth (A.R.M.)
| | - Paul C Timm
- From the Mayo Center for Sleep Medicine (S.J.M., G.M.T., D.J.S., P.C.T., K.L.J., A.R.M., R.S., M.M.M., B.F.B., M.H.B., E.K.S.L.) and Departments of Neurology (S.J.M., P.V., B.F.B., M.H.S., E.K.S.L.), Health Science Research (R.S., M.M.M.), Psychology (M.M.M.), Radiology (K.K.), and Medicine (E.K.S.L.), Mayo Clinic and Foundation, Rochester, MN; Department of Neurology (H.-Y.J.), Providence Neurological Specialties-West, Portland, OR; and University of Minnesota Duluth (A.R.M.)
| | - Katie L Johnson
- From the Mayo Center for Sleep Medicine (S.J.M., G.M.T., D.J.S., P.C.T., K.L.J., A.R.M., R.S., M.M.M., B.F.B., M.H.B., E.K.S.L.) and Departments of Neurology (S.J.M., P.V., B.F.B., M.H.S., E.K.S.L.), Health Science Research (R.S., M.M.M.), Psychology (M.M.M.), Radiology (K.K.), and Medicine (E.K.S.L.), Mayo Clinic and Foundation, Rochester, MN; Department of Neurology (H.-Y.J.), Providence Neurological Specialties-West, Portland, OR; and University of Minnesota Duluth (A.R.M.)
| | - Allison R McCarter
- From the Mayo Center for Sleep Medicine (S.J.M., G.M.T., D.J.S., P.C.T., K.L.J., A.R.M., R.S., M.M.M., B.F.B., M.H.B., E.K.S.L.) and Departments of Neurology (S.J.M., P.V., B.F.B., M.H.S., E.K.S.L.), Health Science Research (R.S., M.M.M.), Psychology (M.M.M.), Radiology (K.K.), and Medicine (E.K.S.L.), Mayo Clinic and Foundation, Rochester, MN; Department of Neurology (H.-Y.J.), Providence Neurological Specialties-West, Portland, OR; and University of Minnesota Duluth (A.R.M.)
| | - Rodolfo Savica
- From the Mayo Center for Sleep Medicine (S.J.M., G.M.T., D.J.S., P.C.T., K.L.J., A.R.M., R.S., M.M.M., B.F.B., M.H.B., E.K.S.L.) and Departments of Neurology (S.J.M., P.V., B.F.B., M.H.S., E.K.S.L.), Health Science Research (R.S., M.M.M.), Psychology (M.M.M.), Radiology (K.K.), and Medicine (E.K.S.L.), Mayo Clinic and Foundation, Rochester, MN; Department of Neurology (H.-Y.J.), Providence Neurological Specialties-West, Portland, OR; and University of Minnesota Duluth (A.R.M.)
| | - Prashanthi Vemuri
- From the Mayo Center for Sleep Medicine (S.J.M., G.M.T., D.J.S., P.C.T., K.L.J., A.R.M., R.S., M.M.M., B.F.B., M.H.B., E.K.S.L.) and Departments of Neurology (S.J.M., P.V., B.F.B., M.H.S., E.K.S.L.), Health Science Research (R.S., M.M.M.), Psychology (M.M.M.), Radiology (K.K.), and Medicine (E.K.S.L.), Mayo Clinic and Foundation, Rochester, MN; Department of Neurology (H.-Y.J.), Providence Neurological Specialties-West, Portland, OR; and University of Minnesota Duluth (A.R.M.)
| | - Mary M Machulda
- From the Mayo Center for Sleep Medicine (S.J.M., G.M.T., D.J.S., P.C.T., K.L.J., A.R.M., R.S., M.M.M., B.F.B., M.H.B., E.K.S.L.) and Departments of Neurology (S.J.M., P.V., B.F.B., M.H.S., E.K.S.L.), Health Science Research (R.S., M.M.M.), Psychology (M.M.M.), Radiology (K.K.), and Medicine (E.K.S.L.), Mayo Clinic and Foundation, Rochester, MN; Department of Neurology (H.-Y.J.), Providence Neurological Specialties-West, Portland, OR; and University of Minnesota Duluth (A.R.M.)
| | - Kejal Kantarci
- From the Mayo Center for Sleep Medicine (S.J.M., G.M.T., D.J.S., P.C.T., K.L.J., A.R.M., R.S., M.M.M., B.F.B., M.H.B., E.K.S.L.) and Departments of Neurology (S.J.M., P.V., B.F.B., M.H.S., E.K.S.L.), Health Science Research (R.S., M.M.M.), Psychology (M.M.M.), Radiology (K.K.), and Medicine (E.K.S.L.), Mayo Clinic and Foundation, Rochester, MN; Department of Neurology (H.-Y.J.), Providence Neurological Specialties-West, Portland, OR; and University of Minnesota Duluth (A.R.M.)
| | - Michelle M Mielke
- From the Mayo Center for Sleep Medicine (S.J.M., G.M.T., D.J.S., P.C.T., K.L.J., A.R.M., R.S., M.M.M., B.F.B., M.H.B., E.K.S.L.) and Departments of Neurology (S.J.M., P.V., B.F.B., M.H.S., E.K.S.L.), Health Science Research (R.S., M.M.M.), Psychology (M.M.M.), Radiology (K.K.), and Medicine (E.K.S.L.), Mayo Clinic and Foundation, Rochester, MN; Department of Neurology (H.-Y.J.), Providence Neurological Specialties-West, Portland, OR; and University of Minnesota Duluth (A.R.M.)
| | - Bradley F Boeve
- From the Mayo Center for Sleep Medicine (S.J.M., G.M.T., D.J.S., P.C.T., K.L.J., A.R.M., R.S., M.M.M., B.F.B., M.H.B., E.K.S.L.) and Departments of Neurology (S.J.M., P.V., B.F.B., M.H.S., E.K.S.L.), Health Science Research (R.S., M.M.M.), Psychology (M.M.M.), Radiology (K.K.), and Medicine (E.K.S.L.), Mayo Clinic and Foundation, Rochester, MN; Department of Neurology (H.-Y.J.), Providence Neurological Specialties-West, Portland, OR; and University of Minnesota Duluth (A.R.M.)
| | - Michael H Silber
- From the Mayo Center for Sleep Medicine (S.J.M., G.M.T., D.J.S., P.C.T., K.L.J., A.R.M., R.S., M.M.M., B.F.B., M.H.B., E.K.S.L.) and Departments of Neurology (S.J.M., P.V., B.F.B., M.H.S., E.K.S.L.), Health Science Research (R.S., M.M.M.), Psychology (M.M.M.), Radiology (K.K.), and Medicine (E.K.S.L.), Mayo Clinic and Foundation, Rochester, MN; Department of Neurology (H.-Y.J.), Providence Neurological Specialties-West, Portland, OR; and University of Minnesota Duluth (A.R.M.)
| | - Erik K St Louis
- From the Mayo Center for Sleep Medicine (S.J.M., G.M.T., D.J.S., P.C.T., K.L.J., A.R.M., R.S., M.M.M., B.F.B., M.H.B., E.K.S.L.) and Departments of Neurology (S.J.M., P.V., B.F.B., M.H.S., E.K.S.L.), Health Science Research (R.S., M.M.M.), Psychology (M.M.M.), Radiology (K.K.), and Medicine (E.K.S.L.), Mayo Clinic and Foundation, Rochester, MN; Department of Neurology (H.-Y.J.), Providence Neurological Specialties-West, Portland, OR; and University of Minnesota Duluth (A.R.M.).
| |
Collapse
|
19
|
Roberts G, Kane JPM, Lloyd JJ, Petrides GS, Howe K, O'Brien JT, Thomas AJ. A comparison of visual and semiquantitative analysis methods for planar cardiac 123I-MIBG scintigraphy in dementia with Lewy bodies. Nucl Med Commun 2019; 40:734-743. [PMID: 31058746 DOI: 10.1097/mnm.0000000000001024] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Cardiac I-MIBG imaging is an established technique for the diagnosis of dementia with Lewy bodies but various analysis methods are reported in the literature. We assessed different methods in the same cohort of patients to inform best practice. PATIENTS AND METHODS Seventeen patients with dementia with Lewy bodies, 15 with Alzheimer's disease and 16 controls were included. Planar images were acquired 20 min and 4 h after injection. Nine operators produced heart-to-mediastinum ratios (HMRs) using freehand and 6, 7 and 8 cm diameter circular cardiac regions. Interoperator variation was measured using the coefficient of variation. HMR differences between methods were assessed using analysis of variance. Seven raters assessed the images visually. Accuracy was compared using receiver operating characteristic analysis. RESULTS There were significant differences in HMR between region methods (P=0.006). However, with optimised cut-offs there was no significant difference in accuracy (P=0.2-1.0). The sensitivity was 65-71% and specificity 100% for all HMR methods. Variation was lower with fixed regions than freehand (P<0.001). Visual rating sensitivity and specificity were 65 and 77% on early images and 76 and 71% on delayed images. There was no significant difference in HMR between early and delayed images (P=0.4-0.7) although a greater separation between means was seen on delayed images (0.73 vs. 0.95). CONCLUSION HMR analysis using a suitable cut-off is more accurate than visual rating. Accuracy is similar for all methods, but freehand regions are more variable and 6 cm circles easiest to place. We recommend calculating HMR using a 6 cm circular cardiac region of interest on delayed images.
Collapse
Affiliation(s)
- Gemma Roberts
- Institute of Neuroscience, Newcastle University.,Nuclear Medicine Department, Royal Victoria Infirmary, Newcastle upon Tyne
| | | | - Jim J Lloyd
- Institute of Neuroscience, Newcastle University.,Nuclear Medicine Department, Royal Victoria Infirmary, Newcastle upon Tyne
| | - George S Petrides
- Nuclear Medicine Department, Royal Victoria Infirmary, Newcastle upon Tyne
| | - Kim Howe
- Nuclear Medicine Department, Royal Victoria Infirmary, Newcastle upon Tyne
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | | |
Collapse
|
20
|
Yamada M, Komatsu J, Nakamura K, Sakai K, Samuraki-Yokohama M, Nakajima K, Yoshita M. Diagnostic Criteria for Dementia with Lewy Bodies: Updates and Future Directions. J Mov Disord 2019; 13:1-10. [PMID: 31694357 PMCID: PMC6987529 DOI: 10.14802/jmd.19052] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Accepted: 09/06/2019] [Indexed: 12/11/2022] Open
Abstract
The aim of this article is to describe the 2017 revised consensus criteria for the clinical diagnosis of dementia with Lewy bodies (DLB) with future directions for the diagnostic criteria. The criteria for the clinical diagnosis of probable and possible DLB were first published as the first consensus report in 1996 and were revised in the third consensus report in 2005. After discussion at the International DLB Conference in Fort Lauderdale, Florida, USA, in 2015, the International DLB Consortium published the fourth consensus report including the revised consensus criteria in 2017. The 2017 revised criteria clearly distinguish between clinical features and diagnostic biomarkers. Significant new information about previously reported aspects of DLB has been incorporated, with increased diagnostic weighting given to rapid eye movement (REM) sleep behavior disorder (RBD) and iodine-123-metaiodobenzylguanidine (MIBG) myocardial scintigraphy. Future directions include the development of the criteria for early diagnosis (prodromal DLB) and the establishment of new biomarkers that directly indicate Lewy-related pathology, including α-synuclein imaging, biopsies of peripheral tissues (skin, etc.) for the demonstration of α-synuclein deposition, and biochemical markers (cerebrospinal fluid/blood), as well as the pathological evaluation of the sensitivity and specificity of the 2017 revised diagnostic criteria. In conclusion, the revised consensus criteria for the clinical diagnosis of DLB were reported with the incorporation of new information about DLB in 2017. Future directions include the development of the criteria for early diagnosis and the establishment of biomarkers directly indicative of Lewy-related pathology.
Collapse
Affiliation(s)
- Masahito Yamada
- Department of Neurology and Neurobiology of Aging, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Junji Komatsu
- Department of Neurology and Neurobiology of Aging, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Keiko Nakamura
- Department of Neurology and Neurobiology of Aging, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Kenji Sakai
- Department of Neurology and Neurobiology of Aging, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Miharu Samuraki-Yokohama
- Department of Neurology and Neurobiology of Aging, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Kenichi Nakajima
- Department of Nuclear Medicine, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Mitsuhiro Yoshita
- Department of Neurology and Neurobiology of Aging, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan.,Department of Neurology, National Hospital Organization, Hokuriku National Hospital, Nanto, Japan
| |
Collapse
|
21
|
Nihashi T, Ito K, Terasawa T. Diagnostic accuracy of DAT-SPECT and MIBG scintigraphy for dementia with Lewy bodies: an updated systematic review and Bayesian latent class model meta-analysis. Eur J Nucl Med Mol Imaging 2019; 47:1984-1997. [PMID: 31423561 DOI: 10.1007/s00259-019-04480-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Accepted: 08/07/2019] [Indexed: 12/24/2022]
Abstract
PURPOSE Imperfect clinical reference standards can preclude accurately estimating the diagnostic accuracy of DAT-SPECT and MIBG myocardial scintigraphy for diagnosing DLB. To investigate the validity of unadjusted accuracy, we updated our previous meta-analysis. METHODS Literature search was updated to March 18, 2018. We also examined published systematic review reports. Two investigators extracted data and rated study validity using the QUADAS-2 tool. We performed a Bayesian latent class model meta-analysis accounting for imperfect reference standards. RESULTS We evaluated 27 studies including 2236 patients. With the exception of two DAT-SPECT studies that involved postmortem neuropathological verification, studies were susceptible to bias from imperfect reference standards. Compared with the unadjusted accuracy estimates, the adjusted sensitivity values were similar, whereas the adjusted specificity values were generally lower for detecting α-synuclein pathology in the brain. The adjusted summary sensitivity and specificity were 0.86 (95% credible interval [CrI], 0.76-0.95) and 0.81 (CrI, 0.70-0.92), and 0.93 (CrI, 0.74-1.00) and 0.75 (CI, 0.47-0.94) for visual and semi-quantitative assessments of DAT-SPECT, respectively; 0.92 (CrI, 0.81-0.99) and 0.80 (CrI, 0.67-0.93), and 0.87 (CrI, 0.74-0.98) and 0.80 (CrI, 0.69-0.93), for delayed- and early-phase scans of MIBG scintigraphy, respectively. When diagnosing the typical clinical syndrome, the adjusted accuracy values were similar to the unadjusted estimates. The adjusted sensitivity and specificity were 0.89 (CrI, 0.75-0.98) and 0.87 (CrI, 0.72-0.97), and 0.97 (CrI, 0.78-1.0) and 0.70 (CrI, 0.43-0.92) for visual and semi-quantitative assessments of DAT-SPECT, respectively; and 0.93 (CrI, 0.81-0.98) and 0.90 (CrI, 0.73-0.97), and 0.85 (CrI, 0.66-0.96) and 0.96 (95% CI, 0.83-1.0) for delayed- and early-phase scans of MIBG scintigraphy, respectively. CONCLUSIONS In our adjusted analyses, both imaging biomarkers had high diagnostic accuracy for detecting the hallmark pathology in the brain and for diagnosing the typical clinical syndrome.
Collapse
Affiliation(s)
- Takashi Nihashi
- Department of Radiology, Komaki City Hospital, Komaki, Japan.,Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kengo Ito
- Department of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Teruhiko Terasawa
- Section of General Internal Medicine, Department of Emergency and General Internal Medicine, Fujita Health University, 1-98 Dengakugakubo, Kutsukakecho, Toyoake, Aichi, 470-1192, Japan. .,Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Tufts University School of Medicine, Boston, MA, USA.
| |
Collapse
|
22
|
Sestini S, Alongi P, Berti V, Calcagni ML, Cecchin D, Chiaravalloti A, Chincarini A, Cistaro A, Guerra UP, Pappatà S, Tiraboschi P, Nobili F. The role of molecular imaging in the frame of the revised dementia with Lewy body criteria. Clin Transl Imaging 2019. [DOI: 10.1007/s40336-019-00321-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
|
23
|
Thomas AJ, Donaghy P, Roberts G, Colloby SJ, Barnett NA, Petrides G, Lloyd J, Olsen K, Taylor JP, McKeith I, O'Brien JT. Diagnostic accuracy of dopaminergic imaging in prodromal dementia with Lewy bodies. Psychol Med 2019; 49:396-402. [PMID: 29692275 PMCID: PMC6331684 DOI: 10.1017/s0033291718000995] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 03/27/2018] [Accepted: 03/27/2018] [Indexed: 01/16/2023]
Abstract
BACKGROUND Dopaminergic imaging has high diagnostic accuracy for dementia with Lewy bodies (DLB) at the dementia stage. We report the first investigation of dopaminergic imaging at the prodromal stage. METHODS We recruited 75 patients over 60 with mild cognitive impairment (MCI), 33 with probable MCI with Lewy body disease (MCI-LB), 15 with possible MCI-LB and 27 with MCI with Alzheimer's disease. All underwent detailed clinical, neurological and neuropsychological assessments and FP-CIT [123I-N-fluoropropyl-2β-carbomethoxy-3β-(4-iodophenyl)] dopaminergic imaging. FP-CIT scans were blindly rated by a consensus panel and classified as normal or abnormal. RESULTS The sensitivity of visually rated FP-CIT imaging to detect combined possible or probable MCI-LB was 54.2% [95% confidence interval (CI) 39.2-68.6], with a specificity of 89.0% (95% CI 70.8-97.6) and a likelihood ratio for MCI-LB of 4.9, indicating that FP-CIT may be a clinically important test in MCI where any characteristic symptoms of Lewy body (LB) disease are present. The sensitivity in probable MCI-LB was 61.0% (95% CI 42.5-77.4) and in possible MCI-LB was 40.0% (95% CI 16.4-67.7). CONCLUSIONS Dopaminergic imaging had high specificity at the pre-dementia stage and gave a clinically important increase in diagnostic confidence and so should be considered in all patients with MCI who have any of the diagnostic symptoms of DLB. As expected, the sensitivity was lower in MCI-LB than in established DLB, although over 50% still had an abnormal scan. Accurate diagnosis of LB disease is important to enable early optimal treatment for LB symptoms.
Collapse
Affiliation(s)
- Alan J. Thomas
- Institute of Neuroscience, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK
| | - Paul Donaghy
- Institute of Neuroscience, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK
| | - Gemma Roberts
- Institute of Neuroscience, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK
- Nuclear Medicine Department, Leazes Wing, Royal Victoria Infirmary, Richardson Road, Newcastle upon Tyne NE1 4LP, UK
| | - Sean J. Colloby
- Institute of Neuroscience, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK
| | - Nicky A. Barnett
- Institute of Neuroscience, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK
| | - George Petrides
- Nuclear Medicine Department, Leazes Wing, Royal Victoria Infirmary, Richardson Road, Newcastle upon Tyne NE1 4LP, UK
| | - Jim Lloyd
- Nuclear Medicine Department, Leazes Wing, Royal Victoria Infirmary, Richardson Road, Newcastle upon Tyne NE1 4LP, UK
| | - Kirsty Olsen
- Institute of Neuroscience, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK
| | - John-Paul Taylor
- Institute of Neuroscience, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK
| | - Ian McKeith
- Institute of Neuroscience, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK
| | - John T. O'Brien
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Box 189, Level E4 Cambridge Biomedical Campus, Cambridge CB2 0SP, UK
| |
Collapse
|
24
|
123I-MIBG scintigraphy utility and cut-off value in a clinically representative dementia cohort. Parkinsonism Relat Disord 2019; 62:79-84. [PMID: 30709778 DOI: 10.1016/j.parkreldis.2019.01.024] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 12/20/2018] [Accepted: 01/25/2019] [Indexed: 12/28/2022]
Abstract
OBJECTIVE To determine the utility of 123I-metaiodobenzylguanidine cardiac scintigraphy (MIBG), and optimum heart: mediastinum ratio (HMR) for differentiating dementia with Lewy bodies (DLB) from Alzheimer's disease (AD) in a clinically representative population, comparing findings with those of 123I-2β -carbomethoxy-3β-(4-iodophenyl)-N-(3-fluoropropyl) nortropane (FP-CIT) SPECT. METHODS We recruited subjects with probable DLB (n = 17) and probable AD (n = 16) from clinical services. Each participant underwent clinical examination, cardiac MIBG scintigraphy and FP-CIT SPECT. Diagnosis was made on the basis of clinical symptoms using validated criteria. Cardiac MIBG uptake was measured by the planar HMR, blind to clinical diagnosis, with values below a cut-off taken from a previous study (<2.2 at four hours) defining scans as abnormal. FP-CIT scans were blindly rated according to a visual rating scale. RESULTS MIBG had a sensitivity, specificity and overall accuracy of 71%, 81% and 76% for distinguishing DLB from AD. FP-CIT demonstrated a sensitivity, specificity and accuracy of 82%, 88% and 85%. Using a lower HMR cut-off to distinguish between abnormal and normal MIBG scans improved the accuracy of MIBG, raising specificity (100%) and overall accuracy (85%) without compromising sensitivity (71%). Neither prescription of potentially interfering medications, nor a history of myocardial infarction (MI), had a significant effect on HMR. CONCLUSION We found that MIBG did not demonstrate superior sensitivity and overall accuracy to FP-CIT. HMR cut-off influences biomarker utility, and clinical and Caucasian populations may require a lower cut-off than those reported elsewhere. Future MIBG studies should include clinically representative cohorts as neither medications nor previous MI appear to influence HMR.
Collapse
|
25
|
Outeiro TF, Koss DJ, Erskine D, Walker L, Kurzawa-Akanbi M, Burn D, Donaghy P, Morris C, Taylor JP, Thomas A, Attems J, McKeith I. Dementia with Lewy bodies: an update and outlook. Mol Neurodegener 2019; 14:5. [PMID: 30665447 PMCID: PMC6341685 DOI: 10.1186/s13024-019-0306-8] [Citation(s) in RCA: 221] [Impact Index Per Article: 36.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Accepted: 01/08/2019] [Indexed: 01/17/2023] Open
Abstract
Dementia with Lewy bodies (DLB) is an age-associated neurodegenerative disorder producing progressive cognitive decline that interferes with normal life and daily activities. Neuropathologically, DLB is characterised by the accumulation of aggregated α-synuclein protein in Lewy bodies and Lewy neurites, similar to Parkinson’s disease (PD). Extrapyramidal motor features characteristic of PD, are common in DLB patients, but are not essential for the clinical diagnosis of DLB. Since many PD patients develop dementia as disease progresses, there has been controversy about the separation of DLB from PD dementia (PDD) and consensus reports have put forward guidelines to assist clinicians in the identification and management of both syndromes. Here, we present basic concepts and definitions, based on our current understanding, that should guide the community to address open questions that will, hopefully, lead us towards improved diagnosis and novel therapeutic strategies for DLB and other synucleinopathies.
Collapse
Affiliation(s)
- Tiago Fleming Outeiro
- Institute of Neuroscience, The Medical School, Newcastle University, Framlington Place, Newcastle Upon Tyne, NE2 4HH, UK. .,Department of Experimental Neurodegeneration, Center for Nanoscale Microscopy and Molecular Physiology of the Brain, Center for Biostructural Imaging of Neurodegeneration, University Medical Center Göttingen, Göttingen, Germany. .,Max Planck Institute for Experimental Medicine, Göttingen, Germany.
| | - David J Koss
- Institute of Neuroscience, The Medical School, Newcastle University, Framlington Place, Newcastle Upon Tyne, NE2 4HH, UK
| | - Daniel Erskine
- Institute of Neuroscience, The Medical School, Newcastle University, Framlington Place, Newcastle Upon Tyne, NE2 4HH, UK
| | - Lauren Walker
- Institute of Neuroscience, The Medical School, Newcastle University, Framlington Place, Newcastle Upon Tyne, NE2 4HH, UK
| | - Marzena Kurzawa-Akanbi
- Institute of Neuroscience, The Medical School, Newcastle University, Framlington Place, Newcastle Upon Tyne, NE2 4HH, UK
| | - David Burn
- Institute of Neuroscience, The Medical School, Newcastle University, Framlington Place, Newcastle Upon Tyne, NE2 4HH, UK
| | - Paul Donaghy
- Institute of Neuroscience, The Medical School, Newcastle University, Framlington Place, Newcastle Upon Tyne, NE2 4HH, UK
| | - Christopher Morris
- Institute of Neuroscience, The Medical School, Newcastle University, Framlington Place, Newcastle Upon Tyne, NE2 4HH, UK
| | - John-Paul Taylor
- Institute of Neuroscience, The Medical School, Newcastle University, Framlington Place, Newcastle Upon Tyne, NE2 4HH, UK
| | - Alan Thomas
- Institute of Neuroscience, The Medical School, Newcastle University, Framlington Place, Newcastle Upon Tyne, NE2 4HH, UK
| | - Johannes Attems
- Institute of Neuroscience, The Medical School, Newcastle University, Framlington Place, Newcastle Upon Tyne, NE2 4HH, UK
| | - Ian McKeith
- Institute of Neuroscience, The Medical School, Newcastle University, Framlington Place, Newcastle Upon Tyne, NE2 4HH, UK.
| |
Collapse
|
26
|
Thobois S, Prange S, Scheiber C, Broussolle E. What a neurologist should know about PET and SPECT functional imaging for parkinsonism: A practical perspective. Parkinsonism Relat Disord 2018; 59:93-100. [PMID: 30181086 DOI: 10.1016/j.parkreldis.2018.08.016] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Revised: 08/23/2018] [Accepted: 08/24/2018] [Indexed: 12/16/2022]
Abstract
The diagnosis of a parkinsonian syndrome based on clinical criteria remains sometimes difficult, especially at disease onset. Brain or heart molecular imaging techniques (SPECT or PET) can provide a major help to improve and speed up diagnosis, influencing treatment strategies. Presynaptic dopaminergic imaging using either [18F]-Dopa PET or 123I -2β-Carbomethoxy-3β-(4-Iodophenyl)- N-(3-Fluoropropyl) Nortropane ([123I]-Ioflupane)SPECT demonstrates or rules out the presence of a dopaminergic degenerative process. This allows to distinguish Parkinson's disease, Parkinson "plus" syndromes and dementia with Lewy bodies (reduced radiotracers binding) from essential tremor, psychogenic, post-neuroleptic or vascular parkinsonisms, dopa-responsive dystonia and Alzheimer's disease (normal radiotracers binding). For differential diagnosis between Parkinson's disease and Parkinson "plus" syndromes, brain molecular imaging with [18F]-Fluorodeoxyglucose ([18F]-FDG) PET or 99mTc-HMPAO SPECT can provide useful information, whereas [18F]-Dopa PET or [123I]-Ioflupane does not separate these entities. Finally, sympathetic cardiac [123I]-Metaiodobenzylguanidine ([123I]-MIBG) scintigraphy or SPECT can help distinguishing Parkinson's disease and dementia with Lew bodies (decreased binding) from multiple system atrophy and progressive supranuclear palsy (normal binding). New radiotracers notably those targeting the pathological process itself such as Tau aggregates are under development and may provide interesting informations to delineate the different Parkinson "plus" syndromes.
Collapse
Affiliation(s)
- Stéphane Thobois
- Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, F-69675, Bron, France; Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, Lyon, France; Univ Lyon, Faculté de Médecine et de Maïeutique Lyon Sud Charles Mérieux, F-69921, Oullins, France.
| | - Stéphane Prange
- Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, F-69675, Bron, France; Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, Lyon, France
| | - Christian Scheiber
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Médecine Nucléaire, Lyon, France
| | - Emmanuel Broussolle
- Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, F-69675, Bron, France; Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, Lyon, France; Univ Lyon, Faculté de Médecine et de Maïeutique Lyon Sud Charles Mérieux, F-69921, Oullins, France
| |
Collapse
|
27
|
Nobili F, Arbizu J, Bouwman F, Drzezga A, Agosta F, Nestor P, Walker Z, Boccardi M. European Association of Nuclear Medicine and European Academy of Neurology recommendations for the use of brain 18 F-fluorodeoxyglucose positron emission tomography in neurodegenerative cognitive impairment and dementia: Delphi consensus. Eur J Neurol 2018; 25:1201-1217. [PMID: 29932266 DOI: 10.1111/ene.13728] [Citation(s) in RCA: 139] [Impact Index Per Article: 19.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Accepted: 06/20/2018] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND PURPOSE Recommendations for using fluorodeoxyglucose positron emission tomography (FDG-PET) to support the diagnosis of dementing neurodegenerative disorders are sparse and poorly structured. METHODS Twenty-one questions on diagnostic issues and on semi-automated analysis to assist visual reading were defined. Literature was reviewed to assess study design, risk of bias, inconsistency, imprecision, indirectness and effect size. Critical outcomes were sensitivity, specificity, accuracy, positive/negative predictive value, area under the receiver operating characteristic curve, and positive/negative likelihood ratio of FDG-PET in detecting the target conditions. Using the Delphi method, an expert panel voted for/against the use of FDG-PET based on published evidence and expert opinion. RESULTS Of the 1435 papers, 58 papers provided proper quantitative assessment of test performance. The panel agreed on recommending FDG-PET for 14 questions: diagnosing mild cognitive impairment due to Alzheimer's disease (AD), frontotemporal lobar degeneration (FTLD) or dementia with Lewy bodies (DLB); diagnosing atypical AD and pseudo-dementia; differentiating between AD and DLB, FTLD or vascular dementia, between DLB and FTLD, and between Parkinson's disease and progressive supranuclear palsy; suggesting underlying pathophysiology in corticobasal degeneration and progressive primary aphasia, and cortical dysfunction in Parkinson's disease; using semi-automated assessment to assist visual reading. Panellists did not support FDG-PET use for pre-clinical stages of neurodegenerative disorders, for amyotrophic lateral sclerosis and Huntington disease diagnoses, and for amyotrophic lateral sclerosis or Huntington-disease-related cognitive decline. CONCLUSIONS Despite limited formal evidence, panellists deemed FDG-PET useful in the early and differential diagnosis of the main neurodegenerative disorders, and semi-automated assessment helpful to assist visual reading. These decisions are proposed as interim recommendations.
Collapse
Affiliation(s)
- F Nobili
- Department of Neuroscience (DINOGMI), University of Genoa and Polyclinic San Martino Hospital, Genoa, Italy
| | - J Arbizu
- Department of Nuclear Medicine, Clinica Universidad de Navarra, University of Navarra, Pamplona, Spain
| | - F Bouwman
- Department of Neurology and Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - A Drzezga
- Department of Nuclear Medicine, University Hospital of Cologne, University of Cologne and German Center for Neurodegenerative Diseases (DZNE), Cologne, Germany
| | - F Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - P Nestor
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Z Walker
- Division of Psychiatry, Essex Partnership University NHS Foundation Trust, University College London, London, UK
| | - M Boccardi
- Department of Psychiatry, Laboratoire du Neuroimagerie du Vieillissement (LANVIE), University of Geneva, Geneva, Switzerland
| | | |
Collapse
|
28
|
Surendranathan A, O’Brien JT. Clinical imaging in dementia with Lewy bodies. EVIDENCE-BASED MENTAL HEALTH 2018; 21:61-65. [PMID: 29602778 PMCID: PMC10270382 DOI: 10.1136/eb-2017-102848] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 01/16/2018] [Accepted: 03/06/2018] [Indexed: 12/28/2022]
Abstract
Dementia with Lewy bodies (DLB) is a common neurodegenerative dementia in older people; however, the clinical features, particularly cognitive fluctuations and rapid eye movement sleep disorder, are often hard to elicit, leading to difficulty in making the diagnosis clinically. Here we examine the literature for the evidence behind imaging modalities that could assist in making the diagnosis. Dopamine transporter (DAT) imaging remains the best modality for differentiation from dementia of Alzheimer's type with high sensitivity and specificity reported based on pathological diagnoses. 123Iodine-metaiodobenzylguanidine myocardial scintigraphy (MIBG) however is rapidly becoming an alternative imaging modality for the diagnosis of DLB, though studies assessing its accuracy with postmortem verification are still awaited. However, there are suggestions that MIBG may be better in the differentiation of vascular parkinsonism from DLB than DAT scans but may have lower sensitivity for detecting DLB compared with the 80% sensitivity seen in DAT imaging. Structural MRI scans have long been used for the diagnosis of dementia; however, their utility in DLB is limited to revealing the presence of coexisting Alzheimer's disease. Fluorodeoxyglucose (FDG) PET is an alternative biomarker that can also differentiate Alzheimer's disease and DLB but lacks the evidence base of both DAT and MIBG scans.
Collapse
|
29
|
Rizzo G, Arcuti S, Copetti M, Alessandria M, Savica R, Fontana A, Liguori R, Logroscino G. Accuracy of clinical diagnosis of dementia with Lewy bodies: a systematic review and meta-analysis. J Neurol Neurosurg Psychiatry 2018; 89:358-366. [PMID: 29030419 DOI: 10.1136/jnnp-2017-316844] [Citation(s) in RCA: 99] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2017] [Revised: 09/12/2017] [Accepted: 09/28/2017] [Indexed: 11/03/2022]
Abstract
BACKGROUND The diagnosis of dementia with Lewy bodies (DLB) is based on diagnostic clinical criteria, which were updated over the years. OBJECTIVE To evaluate, through a systematic review, accuracy of the diagnostic criteria, testing a possible improvement over time. METHODS We searched on MEDLINE and SCOPUS databases for studies reporting diagnostic parameters regarding the clinical diagnosis of DLB until October 2016. We performed meta-analysis, using a Bayesian approach, on those using pathological examination as gold standard, subclassified based on the different diagnostic criteria used. RESULTS We selected 22 studies on 1585 patients. Pooled sensitivity, specificity and accuracy were 60.2%, 93.8%, 79.7%, respectively, for criteria antecedents to McKeith 1996. For McKeith 1996-possible, pooled sensitivity, specificity and accuracy were 65.6%, 80.6%, 77.9% in early stages and 72.3%, 64.3%, 66% in late stages, respectively. For McKeith 1996-probable, pooled sensitivity, specificity and accuracy were 19.4%, 95.1%, 77.7% in early stages and 48.6%, 88%, 79.2% in late stages, respectively. McKeith criteria 2005 were evaluated only in late stages: pooled sensitivity, specificity and accuracy were 91.3%, 66.7% and 81.6%, respectively, for possible diagnosis (only one study) and 88.3%, 80.8%, 90.7% for probable diagnosis, decreasing to 85.6%, 77.1% and 81.7% if only considering clinical settings focused on dementia diagnosis and care. CONCLUSIONS AND RELEVANCE Diagnostic criteria have become more sensitive and less specific over time, without substantial change in the accuracy. Based on current data, about 20% of DLB diagnosis are incorrect. Future studies are needed to evaluate if the recently released revised consensus criteria will improve the diagnostic accuracy of DLB.
Collapse
Affiliation(s)
- Giovanni Rizzo
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Bellaria Hospital, Bologna, Italy.,Department of Biomedical and Neuromotor Sciences, Unit of Neurology, University of Bologna, Bologna, Italy
| | - Simona Arcuti
- Department of Clinical Research in Neurology, University of Bari, Tricase, Italy.,Unit of Biostatistics, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Massimiliano Copetti
- Unit of Biostatistics, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Maria Alessandria
- Department of Clinical Research in Neurology, University of Bari, Tricase, Italy
| | - Rodolfo Savica
- Department of Neurology and Health Science Research, Mayo Clinic, Rochester, Minnesota
| | - Andrea Fontana
- Unit of Biostatistics, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Rocco Liguori
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, Bellaria Hospital, Bologna, Italy.,Department of Biomedical and Neuromotor Sciences, Unit of Neurology, University of Bologna, Bologna, Italy
| | - Giancarlo Logroscino
- Department of Clinical Research in Neurology, University of Bari, Tricase, Italy.,Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari, Bari, Italy
| |
Collapse
|
30
|
Jellinger KA, Korczyn AD. Are dementia with Lewy bodies and Parkinson's disease dementia the same disease? BMC Med 2018; 16:34. [PMID: 29510692 PMCID: PMC5840831 DOI: 10.1186/s12916-018-1016-8] [Citation(s) in RCA: 218] [Impact Index Per Article: 31.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Accepted: 01/30/2018] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD), which share many clinical, neurochemical, and morphological features, have been incorporated into DSM-5 as two separate entities of major neurocognitive disorders with Lewy bodies. Despite clinical overlap, their diagnosis is based on an arbitrary distinction concerning the time of onset of motor and cognitive symptoms, namely as early cognitive impairment in DLB and later onset following that of motor symptoms in PDD. Their morphological hallmarks - cortical and subcortical α-synuclein/Lewy body plus β-amyloid and tau pathologies - are similar, but clinical differences at onset suggest some dissimilar profiles. Based on recent publications, including the fourth consensus report of the DLB Consortium, a critical overview is provided herein. DISCUSSION The clinical constellations of DLB and PDD include cognitive impairment, parkinsonism, visual hallucinations, and fluctuating attention. Intravitam PET and postmortem studies have revealed a more pronounced cortical atrophy, elevated cortical and limbic Lewy body pathologies, higher Aβ and tau loads in cortex and striatum in DLB compared to PDD, and earlier cognitive defects in DLB. Conversely, multitracer PET studies have shown no differences in cortical and striatal cholinergic and dopaminergic deficits. Clinical management of both DLB and PDD includes cholinesterase inhibitors and other pharmacologic and non-drug strategies, yet with only mild symptomatic effects. Currently, no disease-modifying therapies are available. CONCLUSION DLB and PDD are important dementia syndromes that overlap in many clinical features, genetics, neuropathology, and management. They are currently considered as subtypes of an α-synuclein-associated disease spectrum (Lewy body diseases), from incidental Lewy body disease and non-demented Parkinson's disease to PDD, DLB, and DLB with Alzheimer's disease at the most severe end. Cognitive impairment in these disorders is induced not only by α-synuclein-related neurodegeneration but by multiple regional pathological scores. Both DLB and PDD show heterogeneous pathology and neurochemistry, suggesting that they share important common underlying molecular pathogenesis with Alzheimer's disease and other proteinopathies. While we prefer to view DLB and PDD as extremes on a continuum, there remains a pressing need to more clearly differentiate these syndromes and to understand the synucleinopathy processes leading to either one.
Collapse
Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, A-1150, Vienna, Austria.
| | - Amos D Korczyn
- Tel-Aviv University, Sackler Faculty of Medicine, Ramat Aviv, Israel
| |
Collapse
|
31
|
Thomas AJ, Mahin-Babaei F, Saidi M, Lett D, Taylor JP, Walker L, Attems J. Improving the identification of dementia with Lewy bodies in the context of an Alzheimer's-type dementia. ALZHEIMERS RESEARCH & THERAPY 2018; 10:27. [PMID: 29490691 PMCID: PMC5831205 DOI: 10.1186/s13195-018-0356-0] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Accepted: 02/07/2018] [Indexed: 02/05/2023]
Abstract
BACKGROUND Dementia due to Alzheimer's disease (AD) and dementia with Lewy bodies (DLB) are the two most common neurodegenerative causes of dementia. They commonly occur together, especially in older people, but clinical identification of these diseases in dementia is difficult in such circumstances. We therefore conducted a study using cases with both comprehensive prospective clinical assessments and complete neuropathological examination to determine if it is possible to identify such mixed cases clinically and to determine features which may identify DLB in the presence of AD dementia. METHODS At Newcastle Brain Bank we identified subjects who had a clinical diagnosis of dementia and who also had autopsy diagnoses of pure AD, pure DLB, or mixed AD+DLB. All subjects had undergone prospective longitudinal clinical assessments. Mixed AD+DLB patients met neuropathological criteria for both DLB (limbic/neocortical Lewy body disease) and AD (Braak stage V/VI and CERAD B/C). The records of these subjects were carefully reviewed by two specialists in old-age psychiatry blind to autopsy findings to determine baseline and final clinical diagnoses based on these detailed records. The presence of characteristic Lewy body symptoms and other clinical information was also recorded. RESULTS Of 59 subjects included, 19 were AD, 18 DLB, and 22 mixed AD+DLB. At baseline no subjects were correctly identified as having mixed AD+DLB and by final diagnosis only 23% were identified. The only symptom which helped in identifying the presence of Lewy body disease in the context of a mixed AD+DLB dementia was complex visual hallucinations. CONCLUSIONS Whilst the identification of DLB in the context of a dementia with an AD pattern is difficult, the emergence of complex visual hallucinations in the context of such a degenerative dementia suggests the presence of Lewy body disease and should encourage a careful assessment. Biomarkers appear likely to be necessary to help improve identification of different disease subtypes underlying dementia.
Collapse
Affiliation(s)
- Alan J Thomas
- Institute of Neuroscience, Newcastle University, Biomedical Research Building, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK.
| | - Fariba Mahin-Babaei
- Institute of Neuroscience, Newcastle University, Biomedical Research Building, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Mohammad Saidi
- Institute of Neuroscience, Newcastle University, Biomedical Research Building, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Debbie Lett
- Institute of Neuroscience, Newcastle University, Biomedical Research Building, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - John Paul Taylor
- Institute of Neuroscience, Newcastle University, Biomedical Research Building, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Lauren Walker
- Institute of Neuroscience, Newcastle University, Biomedical Research Building, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Johannes Attems
- Institute of Neuroscience, Newcastle University, Biomedical Research Building, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| |
Collapse
|
32
|
Langston JW, Wiley JC, Tagliati M. Optimizing Parkinson's disease diagnosis: the role of a dual nuclear imaging algorithm. NPJ PARKINSONS DISEASE 2018; 4:5. [PMID: 29507872 PMCID: PMC5824845 DOI: 10.1038/s41531-018-0041-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Revised: 01/08/2018] [Accepted: 02/01/2018] [Indexed: 12/11/2022]
Abstract
The diagnosis of Parkinson's disease (PD) currently relies almost exclusively on the clinical judgment of an experienced neurologist, ideally a specialist in movement disorders. However, such clinical diagnosis is often incorrect in a large percentage of patients, particularly in the early stages of the disease. A commercially available, objective and quantitative marker of nigrostriatal neurodegeneration was recently provided by 123-iodine 123I-ioflupane SPECT imaging, which is however unable to differentiate PD from a variety of other parkinsonian syndromes associated with striatal dopamine deficiency. There is evidence to support an algorithm utilizing a dual neuroimaging strategy combining 123I-ioflupane SPECT and the noradrenergic receptor ligand 123I-metaiodobenzylguanidine (MIBG), which assesses the post-ganglion peripheral autonomic nervous system. Evolving concepts regarding the synucleinopathy affecting the central and peripheral autonomic nervous systems as part of a multisystem disease are reviewed to sustain such strategy. Data are presented to show how MIBG deficits are a common feature of multisystem Lewy body disease and can be used as a unique feature to distinguish PD from atypical parkinsonisms. We propose that the combination of cardiac (MIBG) and cerebral 123I-ioflupane SPECT could satisfy one of the most significant unmet needs of current PD diagnosis and management, namely the early and accurate diagnosis of patients with typical Lewy body PD. Exemplary case scenarios will be described, highlighting how dual neuroimaging strategy can maximize diagnostic accuracy for patient care, clinical trials, pre-symptomatic PD screening, and special cases provided by specific genetic mutations associated with PD.
Collapse
Affiliation(s)
| | - Jesse C Wiley
- 2Department of Comparative Medicine, University of Washington, 1959 NE Pacific Ave Seattle, Seattle, WA USA
| | - Michele Tagliati
- Department of Neurology, Cedar-Sinai Medical Center, 127 S San Vicente Blvd, AHSP 6600, Los Angeles, CA 90272 USA
| |
Collapse
|
33
|
Jellinger KA. Dementia with Lewy bodies and Parkinson's disease-dementia: current concepts and controversies. J Neural Transm (Vienna) 2017; 125:615-650. [PMID: 29222591 DOI: 10.1007/s00702-017-1821-9] [Citation(s) in RCA: 176] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2017] [Accepted: 11/28/2017] [Indexed: 12/15/2022]
Abstract
Dementia with Lewy bodies (DLB) and Parkinson's disease-dementia (PDD), although sharing many clinical, neurochemical and morphological features, according to DSM-5, are two entities of major neurocognitive disorders with Lewy bodies of unknown etiology. Despite considerable clinical overlap, their diagnosis is based on an arbitrary distinction between the time of onset of motor and cognitive symptoms: dementia often preceding parkinsonism in DLB and onset of cognitive impairment after onset of motor symptoms in PDD. Both are characterized morphologically by widespread cortical and subcortical α-synuclein/Lewy body plus β-amyloid and tau pathologies. Based on recent publications, including the fourth consensus report of the DLB Consortium, a critical overview is given. The clinical features of DLB and PDD include cognitive impairment, parkinsonism, visual hallucinations, and fluctuating attention. Intravitam PET and post-mortem studies revealed more pronounced cortical atrophy, elevated cortical and limbic Lewy pathologies (with APOE ε4), apart from higher prevalence of Alzheimer pathology in DLB than PDD. These changes may account for earlier onset and greater severity of cognitive defects in DLB, while multitracer PET studies showed no differences in cholinergic and dopaminergic deficits. DLB and PDD sharing genetic, neurochemical, and morphologic factors are likely to represent two subtypes of an α-synuclein-associated disease spectrum (Lewy body diseases), beginning with incidental Lewy body disease-PD-nondemented-PDD-DLB (no parkinsonism)-DLB with Alzheimer's disease (DLB-AD) at the most severe end, although DLB does not begin with PD/PDD and does not always progress to DLB-AD, while others consider them as the same disease. Both DLB and PDD show heterogeneous pathology and neurochemistry, suggesting that they share important common underlying molecular pathogenesis with AD and other proteinopathies. Cognitive impairment is not only induced by α-synuclein-caused neurodegeneration but by multiple regional pathological scores. Recent animal models and human post-mortem studies have provided important insights into the pathophysiology of DLB/PDD showing some differences, e.g., different spreading patterns of α-synuclein pathology, but the basic pathogenic mechanisms leading to the heterogeneity between both disorders deserve further elucidation. In view of the controversies about the nosology and pathogenesis of both syndromes, there remains a pressing need to differentiate them more clearly and to understand the processes leading these synucleinopathies to cause one disorder or the other. Clinical management of both disorders includes cholinesterase inhibitors, other pharmacologic and nonpharmacologic strategies, but these have only a mild symptomatic effect. Currently, no disease-modifying therapies are available.
Collapse
Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
| |
Collapse
|
34
|
McKeith IG, Boeve BF, Dickson DW, Halliday G, Taylor JP, Weintraub D, Aarsland D, Galvin J, Attems J, Ballard CG, Bayston A, Beach TG, Blanc F, Bohnen N, Bonanni L, Bras J, Brundin P, Burn D, Chen-Plotkin A, Duda JE, El-Agnaf O, Feldman H, Ferman TJ, Ffytche D, Fujishiro H, Galasko D, Goldman JG, Gomperts SN, Graff-Radford NR, Honig LS, Iranzo A, Kantarci K, Kaufer D, Kukull W, Lee VMY, Leverenz JB, Lewis S, Lippa C, Lunde A, Masellis M, Masliah E, McLean P, Mollenhauer B, Montine TJ, Moreno E, Mori E, Murray M, O'Brien JT, Orimo S, Postuma RB, Ramaswamy S, Ross OA, Salmon DP, Singleton A, Taylor A, Thomas A, Tiraboschi P, Toledo JB, Trojanowski JQ, Tsuang D, Walker Z, Yamada M, Kosaka K. Diagnosis and management of dementia with Lewy bodies: Fourth consensus report of the DLB Consortium. Neurology 2017; 89:88-100. [PMID: 28592453 PMCID: PMC5496518 DOI: 10.1212/wnl.0000000000004058] [Citation(s) in RCA: 2662] [Impact Index Per Article: 332.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 03/30/2017] [Indexed: 12/14/2022] Open
Abstract
The Dementia with Lewy Bodies (DLB) Consortium has refined its recommendations about the clinical and pathologic diagnosis of DLB, updating the previous report, which has been in widespread use for the last decade. The revised DLB consensus criteria now distinguish clearly between clinical features and diagnostic biomarkers, and give guidance about optimal methods to establish and interpret these. Substantial new information has been incorporated about previously reported aspects of DLB, with increased diagnostic weighting given to REM sleep behavior disorder and 123iodine-metaiodobenzylguanidine (MIBG) myocardial scintigraphy. The diagnostic role of other neuroimaging, electrophysiologic, and laboratory investigations is also described. Minor modifications to pathologic methods and criteria are recommended to take account of Alzheimer disease neuropathologic change, to add previously omitted Lewy-related pathology categories, and to include assessments for substantia nigra neuronal loss. Recommendations about clinical management are largely based upon expert opinion since randomized controlled trials in DLB are few. Substantial progress has been made since the previous report in the detection and recognition of DLB as a common and important clinical disorder. During that period it has been incorporated into DSM-5, as major neurocognitive disorder with Lewy bodies. There remains a pressing need to understand the underlying neurobiology and pathophysiology of DLB, to develop and deliver clinical trials with both symptomatic and disease-modifying agents, and to help patients and carers worldwide to inform themselves about the disease, its prognosis, best available treatments, ongoing research, and how to get adequate support.
Collapse
|
35
|
Validation of the cingulate island sign with optimized ratios for discriminating dementia with Lewy bodies from Alzheimer's disease using brain perfusion SPECT. Ann Nucl Med 2017; 31:536-543. [PMID: 28547521 PMCID: PMC5517560 DOI: 10.1007/s12149-017-1181-4] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Accepted: 05/15/2017] [Indexed: 12/31/2022]
Abstract
Objective Dementia with Lewy bodies (DLB) is often cited as the second most common dementia after Alzheimer’s disease (AD). It is clinically important to distinguish DLB from AD because specific side effects of antipsychotic drugs are limited to DLB. The relative preservation of cingulate glucose metabolism in the posterior cingulate gyri versus that in the precuni, known as the cingulate island sign (CIS), in patients with DLB compared with AD is supposed to be highly specific for diagnosing DLB. In a previous study, using brain perfusion SPECT, the largest value (0.873) for the area under the receiver operating characteristic (ROC) curve (AUC) for differentiating DLB from AD was obtained with the ratio of the posterior cingulate gyri from an early Alzheimer’s disease-specific hypoperfusion volume of interest (VOI) versus the medial occipital lobe. Two purposes of this study are as follows: one is optimization of VOI setting for calculating CIS values and the other is to evaluate their accuracy and simultaneously to retest the method described in our previous paper. Methods We conducted a retest of this SPECT method with another cohort of 13 patients with DLB and 13 patients with AD. Furthermore, we optimized VOIs using contrast images obtained from group comparisons of DLB and normal controls; the same 18 patients with DLB and 18 normal controls examined in our previous study. We obtained DLB-specific VOIs from areas where brain perfusion was significantly decreased in DLB. As the numerators of these ratios, early Alzheimer’s disease-specific VOIs were used after subtracting DLB-specific VOIs. The DLB-specific VOIs were used as the denominator. Results In retest, the obtained AUC was 0.858 and the accuracy, sensitivity, and specificity were 84.6, 84.6, and 84.6%, respectively. The ROC curve analysis with these optimized VOIs yielded a higher AUC of 0.882; and the accuracy, sensitivity, and specificity of these new CIS ratios were 84.6, 92.3, and 76.9%, respectively, with a threshold value of 0.281. Conclusion Optimized CISs using brain perfusion SPECT are clinically useful for differentiating DLB from AD.
Collapse
|
36
|
Shimizu S. Author's reply “What is the best neuroimaging technique in discriminating dementia with Lewy bodies from Alzheimer's disease?”. Geriatr Gerontol Int 2017; 17:858-859. [DOI: 10.1111/ggi.12953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Accepted: 09/26/2016] [Indexed: 11/26/2022]
Affiliation(s)
- Soichiro Shimizu
- Department of Geriatric Medicine; Tokyo Medical University; Tokyo Japan
| |
Collapse
|
37
|
Muscio C, Tiraboschi P. What is the best imaging technique in discriminating dementia with Lewy bodies from other dementias? Geriatr Gerontol Int 2017; 17:857. [DOI: 10.1111/ggi.12950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Accepted: 09/26/2016] [Indexed: 11/29/2022]
Affiliation(s)
- Cristina Muscio
- Division of Neurology V/Neuropathology; Fondazione IRCCS Istituto Neurologico “Carlo Besta”; Milan Italy
| | - Pietro Tiraboschi
- Division of Neurology V/Neuropathology; Fondazione IRCCS Istituto Neurologico “Carlo Besta”; Milan Italy
| |
Collapse
|
38
|
Abstract
Dementia syndromes associated with Lewy bodies are subdivided into dementia with Lewy bodies (DLB), an underdiagnosed cause of dementia in the elderly, and Parkinson disease with dementia (PDD), cognitive impairment appearing in people diagnosed with Parkinson disease. Their neuropathologic substrates are the widespread distribution of aggregates of the protein α-synuclein in neurons in cortical brain regions, accompanied by variable Alzheimer pathology. Clinical features of DLB and PDD include distinctive changes in cognition, behavior, movement, sleep, and autonomic function. Diagnostic criteria for DLB and PDD incorporate these features. Current treatment options for DLB and PDD are symptomatic.
Collapse
Affiliation(s)
- Douglas Galasko
- Department of Neurosciences, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0948, USA.
| |
Collapse
|
39
|
Koric L, Guedj E, Habert M, Semah F, Branger P, Payoux P, Le Jeune F. Molecular imaging in the diagnosis of Alzheimer's disease and related disorders. Rev Neurol (Paris) 2016; 172:725-734. [DOI: 10.1016/j.neurol.2016.10.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Revised: 07/25/2016] [Accepted: 10/13/2016] [Indexed: 11/29/2022]
|