Quantitative Doppler in musculoskeletal ultrasonography - suboptimal performance of both experienced and in-training sonographers in selection of the highest Doppler signal image from cine-loops.
Aims: Doppler ultrasonography assessment is mandatory nowadays for the complete description of rheumatic disease activity. Initially it was performed in semi quantitative way but recently the (fully) quantitative assessment is gaining more interest. In quantitative assessment, the ratio between tota...
| Publicado en: | Medical Ultrasonography Vol. 19; no. 3; pp. 282 - 288 |
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| Autores principales: | , , , , , , , , , , , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Romanian Society of Ultrasonography in Medicine & Biology
Sep2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=124925728&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 124925728 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 18444172 AX1S jtl: Medical Ultrasonography issn: 18444172 maglogo: N pubinfo: dt: Sep2017 vid: 19 iid: 3 pid: 57537 pub: Romanian Society of Ultrasonography in Medicine & Biology artinfo: ui: 124925728 124925728 NLM28845494 124925728 10.11152/mu-933 NLM28845494 124925728 ppf: 282 ppct: 6 formats: fmt: @attributes: type: P tig: atl: Quantitative Doppler in musculoskeletal ultrasonography - suboptimal performance of both experienced and in-training sonographers in selection of the highest Doppler signal image from cine-loops. aug: au: Berghea, Florian Vlad, Violeta Palanciuc, Lavinia Micu, Mihaela Bojinca, Violeta Vreju, Florentin Enache, Luminita Copotoiua, Monica Kosevoi, Alexandra Serban, Teodora Stanciu, Denisa Abobului, Mihai Borangiu, Andreea Berghea, Camelia Balanescu, Andra Rodica Ionescu, Ruxandra Copotoiu, Monica Berghea, Camelia Elena affil: Department of Internal Medicine and Rheumatology "Sf. Maria" Hospital, Bucharest, Romania sug: subj: Ultrasonography, Doppler Methods Ultrasonics Education Rheumatic Diseases Clinical Competence Statistics and Numerical Data Musculoskeletal System Observer Bias Reproducibility of Results Human ab: Aims: Doppler ultrasonography assessment is mandatory nowadays for the complete description of rheumatic disease activity. Initially it was performed in semi quantitative way but recently the (fully) quantitative assessment is gaining more interest. In quantitative assessment, the ratio between total colorized and total pixels (CTR) is computed for the whole image or just for the region of interest (ROI). The frame with the highest amount of Doppler signal (also called worst case scenario image - WCSI) is usually the only one analyzed. The technique requires a very precise identification of WCSI from a certain number of consecutive frames, captured from the same position of the US probe, (and in most cases this is done manually). Our study examined the ability of both experienced and in-training sonographers to identify WCSI using a computerized analytical system as the gold standard.Materials and Methods: The study analyzed 480 frame selections done in two distinct exercises. The WCSI and other 3 images with a 5%, 10% and respectively 20% lower level of CTR compared with WCSI were packed in one selection. All frames emerging from the same video clip were randomly presented to six experienced and six in training sonographers; the request was to select the frame with the highest CTR (WCSI) from each package (twenty packages in total). A similar exercise was performed with CTRs decreasing in steps of 2%.Results: In the first exercise the WCSI was correctly identified in 79.1% cases and in 67% of cases in the 2nd exercise. The interobserver agreement between experienced and in-trainer evaluators for the 1st exercise was 0.78 and 0.4 in the 2nd exercise.Conclusion: Using computerized analysis as the gold standard, we demonstrated a large heterogeneity across sonographers regarding their ability to identify the best Doppler image even from a small group of frames. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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