Validation of an electronic image reader training programme for interpretation of [18F]flutemetamol β-amyloid PET brain images

Christopher J Buckley, Paul F Sherwin, Adrian P L Smith, Jan Wolber, Sharon M Weick, David J Brooks, Christopher J Buckley, Paul F Sherwin, Adrian P L Smith, Jan Wolber, Sharon M Weick, David J Brooks

Abstract

Objectives: An electronic training programme (ETP) was developed for interpretation of images during routine clinical use of the PET amyloid imaging agent [F]flutemetamol injection (VIZAMYL). This study was carried out to validate the ETP.

Materials and methods: Five nuclear medicine technologists (NMTs) and five readers previously inexperienced in amyloid image interpretation were required to self-train using the ETP and pass a test to participate. A total of 305 [F]flutemetamol PET images were then tested as the validation set, following preassessment and reorientation (where required) by one of five NMTs. Next, a new set of readers blinded to clinical information independently assessed all 305 images. Images had been acquired in previous studies from patients representing the full spectrum of cognitive capacity. When available, a standard of truth determined by histopathology or clinical history was used to derive sensitivity and specificity for image interpretation from this validation set. Randomly selected images (n=29) were read in duplicate to measure intrareader reproducibility. Images were read first without, and subsequently with anatomic images, if available.

Results: All NMTs and all readers scored 100% on the qualifying test. The interpretation of 135 cases without anatomic image support resulted in sensitivity ranging from 84% to 94% (majority 94%, median 92%) and specificity ranging from 77% to 96% (majority 92%, median 81%). Inter-reader agreement was very high, with most κ scores more than 0.8. Intrareader reproducibility ranged from 93 to 100%.

Conclusion: The self-guided ETP effectively trained new amyloid PET image readers to accurately and reproducibly interpret [F]flutemetamol PET images.

Figures

Fig. 1
Fig. 1
The electronic training programme (ETP) teaches the persons being trained to make a positive scan classification upon identification of several features in the following regions. Frontal pole and lobe: the lack of a marked sulcal pattern (dotted lines) and/or sharp intensity gradient from grey matter to cerebrospinal fluid. Posterior cingulate and precuneus: presence of cortical uptake in the circled region. Lateral temporal lobe: heightened uptake throughout and loss of the gyral/sulcal pattern (dotted circles). Parietal lobe: high uptake and decreased sulcal pattern within the dotted circles. Striatum: >50% uptake in the dotted region between the thalamus and the frontal lobe (axial or sagittal view).
Fig. 2
Fig. 2
Diagrammatic representation of the training and reading process for Study GE067–021 (internal GE reference number for the validation study). 1. Images from 276 individual patients and an additional 29 repeat images interspersed were read only in the first phase of the study. 2. Those images that had a tissue-based pathological standard of truth were rerandomized and read again with the support of anatomic images (mainly CT and some MRI). CRF, case report form; CSR, clinical study report; CT, computed tomography.

References

    1. Mirra S, Heyman A, McKeel D, Sumi S. The consortium to establish a registry for Alzheimer’s disease (CERAD). Part II. Standardization of the neuropathologic assessment of Alzheimer’s disease. Neurology 1991; 46:142–145.
    1. Schipke CG, Peters O, Heuser I, Grimmer T, Sabbagh MN, Sabri O, et al. Impact of beta-amyloid-specific florbetaben pet imaging on confidence in early diagnosis of Alzheimer’s disease. Dement Geriatr Cogn Disord 2012; 33:416–422.
    1. Frederiksen KS, Hasselbalch SG, Hejl AM, Law I, Højgaard L, Waldemar G. Added diagnostic value of 11C-PiB-PET in memory clinic patients with uncertain diagnosis. Dement Geriatr Cogn Dis Extra 2012; 2:610–621.
    1. Cohen J, Zhong Y, Karlawish J. Impact of amyloid beta imaging on diagnosis and clinical management of hypothetical patients with mild cognitive impairment or dementia (P3.210). Neurology 2014; 82 (P3):210.
    1. Beach TG, Schneider JA, Sue LI, Serrano G, Dugger BN, Monsell SE, et al. Theoretical impact of florbetapir (18F) amyloid imaging on diagnosis of Alzheimer dementia and detection of preclinical cortical amyloid. J Neuropathol Exp Neurol 2014; 73:948–953.
    1. US Food and Drug Administration. FDA approves second brain imaging drug to help evaluate patients for Alzheimer’s disease, dementia. Available at: . [Accessed 28 April 2014].
    1. European Medicines Agency (EMA). Summary of the European Public Assessment report; 2014. . [Accessed 14 November 2016].
    1. Wong DF, Moghekar AR, Rigamonti D, Brašić JR, Rousset O, Willis W, et al. An in vivo evaluation of cerebral cortical amyloid with [18F]flutemetamol using positron emission tomography compared with parietal biopsy samples in living normal pressure hydrocephalus patients. Mol Imaging Biol 2013; 15:230–237.
    1. Leinonen V, Rinne JO, Virtanen KA, Eskola O, Rummukainen J, Huttunen J, et al. Positron emission tomography with [18F]flutemetamol and [11C]PiB for in vivo detection of cerebral cortical amyloid in normal pressure hydrocephalus patients. Eur J Neurol 2013; 20:1043–1052.
    1. Wolk DA, Grachev ID, Buckley C, Kazi H, Grady MS, Trojanowski JQ, et al. Association between in vivo fluorine 18-labeled flutemetamol amyloid positron emission tomography imaging and in vivo cerebral cortical histopathology. Arch Neurol 2011; 68:1398–1403.
    1. Vandenberghe R, van Laere K, Ivanoiu A, Salmon E, Bastin C, Triau E, et al. 18F-flutemetamol amyloid imaging in Alzheimer disease and mild cognitive impairment: a phase 2 trial. Ann Neurol 2010; 68:319–329.
    1. Nelissen N, van Laere K, Thurfjell L, Owenius R, Vandenbulcke M, Koole M, et al. Phase 1 study of the Pittsburgh compound B derivative 18F-flutemetamol in healthy volunteers and patients with probable Alzheimer disease. J Nucl Med 2009; 50:1251–1259.
    1. Luthra SK, Robins EG. Gouverneur V, Müller K. 18F-labelled tracers for PET oncology and neurology applications. Fluorine in pharmaceutical and medicinal chemistry: from biophysical aspects to clinical applications. Hackensack, NJ: Imperial College Press; 2012. 383–441.
    1. Juréus A, Swahn BM, Sandell J, Jeppsson F, Johnson AE, Johnström P, et al. Characterization of AZD4694, a novel fluorinated Aβ plaque neuroimaging PET radioligand. J Neurochem 2010; 114:784–794.
    1. Clark CM, Pontecorvo MJ, Beach TG, Bedell BJ, Coleman RE, Doraiswamy PM, et al. Cerebral PET with florbetapir compared with neuropathology at autopsy for detection of neuritic amyloid-beta plaques: a prospective cohort study. Lancet Neurol 2012; 11:669–678.
    1. Curtis C, Gamez JE, Singh U, Sadowsky CH, Villena T, Sabbagh MN, et al. Phase 3 trial of flutemetamol labeled with radioactive fluorine 18 imaging and neuritic plaque density. JAMA Neurol 2015; 72:287–294.
    1. European Medicines Agency (EMA). Assessment report for an initial marketing authorisation application – florbetaben F18. Available at: . [Accessed 28 April 2014].
    1. Yang L, Rieves D, Ganley C. Brain amyloid imaging – FDA approval of florbetapir F18 injection. N Engl J Med 2012; 367:885–887.
    1. GE Healthcare. Vizamyl (flutemetamol F 18 injection) electronic reader training programme; 2016. Available at: . [Accessed 15 September 2016].
    1. GE Healthcare. Vizamyl (flutemetamol F 18 injection). Pack Insert US; 2014:1–8. Available at: . [Accessed 15 September 2016].
    1. World Medical Association. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA 2013; 310:2191–2194.
    1. International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use. ICH harmonised tripartite guideline. Yokohama, Japan: U.S. Department of Health and Human Services, Food and Drug Administration; 1996.
    1. Fleiss JL. Measuring nominal scale agreement among many raters. Psychol Bull 1971; 76:378–382.
    1. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977; 33:159–174.
    1. Minoshima S, Drzezga AE, Barthel H, Bohnen N, Djekidel M, Lewis DH, et al. SNMMI procedure standard-EANM practice guideline for amyloid PET imaging of the brain. J Nucl Med 2016; 57:1316–1322.
    1. Graham MM, Jacene HA. Molecular imaging training for nuclear medicine residents. J Nucl Med 2012; 53:655–657.
    1. Guiberteau MJ, Graham MM. ACR-SNM Task Force on Nuclear Medicine Training: report of the task force. J Nucl Med 2011; 52:998–1002.
    1. Hoa D, Micheau A, Gahide G. Creating an interactive web-based e-learning course: a practical introduction for radiologists. Radiographics 2006; 26:e25 quiz e25.
    1. Diessl S, Verburg Fa, Hoernlein A, Schumann M, Luster M, Reiners C. Evaluation of an internet-based e-learning module to introduce nuclear medicine to medical students: a feasibility study. Nucl Med Commun 2010; 31:1063–1067.
    1. Wallis JW, Miller MM, Miller TR, Vreeland TH. An internet-based nuclear medicine teaching file. J Nucl Med 1995; 36:1520–1527.
    1. Wallis JW, Parker JA. Use of the Internet for teaching in nuclear medicine. Semin Nucl Med 1998; 28:165–176.
    1. Bullich S, Catafau A, Senda M, Khodaverdi-Afaghi V, Stephens A. Performance of 18F-florbetaben PET image reading training in Japanese language. J Nucl Med, 2016:57.1822.
    1. Seibyl J, Catafau AM, Barthel H, Ishii K, Rowe CC, Leverenz JB, et al. Impact of training method on the robustness of the visual assessment of 18F-florbetaben PET scans: results from a phase 3 trial. J Nucl Med 2016; 57:900–906.
    1. Lockhart A, Lamb JR, Osredkar T, Sue LI, Joyce JN, Ye L, et al. PIB is a non-specific imaging marker of amyloid-beta (Aβ) peptide-related cerebral amyloidosis. Brain 2007; 130:2607–2615.
    1. Hyman BT, Phelps CH, Beach TG, Bigio EH, Cairns NJ, Carrillo MC, et al. National Institute on Aging – Alzheimer’s Association guidelines for the neuropathologic assessment of Alzheimer’s disease. Alzheimers Dement 2012; 8:1–13.
    1. Clark CM, Schneider JA, Bedell BJ, Beach TG, Bilker WB, Mintun MA, et al. Use of florbetapir-PET for imaging beta-amyloid pathology. JAMA 2011; 305:275–283.
    1. Ong KT, Villemagne VL, Bahar-Fuchs A, Lamb F, Langdon N, Catafau AM, et al. Aβ imaging with 18F-florbetaben in prodromal Alzheimer’s disease: a prospective outcome study. J Neurol Neurosurg Psychiatry 2014; 86:431–436.
    1. Johnson KA, Minoshima S, Bohnen NI, Donohoe KJ, Foster NL, Herscovitch P, et al. Update on appropriate use criteria for amyloid PET imaging: dementia experts, mild cognitive impairment, and education. J Nucl Med 2013; 54:1011–1013.

Source: PubMed

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