The challenge of rapid diagnosis in oncology: Diagnostic accuracy and cost analysis of a large-scale one-stop breast clinic
Details
Serval ID
serval:BIB_F7AEEF9164F9
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
The challenge of rapid diagnosis in oncology: Diagnostic accuracy and cost analysis of a large-scale one-stop breast clinic
Journal
Eur J Cancer
ISSN-L
1879-0852 (Electronic)0959-8049 (Linking)
Publication state
Published
Issued date
2016
Peer-reviewed
Oui
Volume
66
Pages
131-137
Language
english
Notes
Delaloge, SuzetteBonastre, JuliaBorget, IsabelleGarbay, Jean-RemiFontenay, RachelBoinon, DianeSaghatchian, MahastiMathieu, Marie-ChristineMazouni, ChafikaRivera, SofiaUzan, CatherineAndre, FabriceDromain, ClarisseBoyer, BrunoPistilli, BarbaraAzoulay, SandyRimareix, FrancoiseBayou, El-HadiSarfati, BenjaminCaron, HeleneGhouadni, AmalLeymarie, NicolasCanale, SandraMons, MurielArfi-Rouche, JuliaArnedos, MonicaSuciu, VoichitaVielh, PhilippeBalleyguier, CorinneENGOxford, England : 19902016/08/30 06:00Eur J Cancer. 2016 Aug 25;66:131-137. doi: 10.1016/j.ejca.2016.06.021.
Abstract
PURPOSE: Rapid diagnosis is a key issue in modern oncology, for which one-stop breast clinics are a model. We aimed to assess the diagnosis accuracy and procedure costs of a large-scale one-stop breast clinic. PATIENTS AND METHODS: A total of 10,602 individuals with suspect breast lesions attended the Gustave Roussy's regional one-stop breast clinic between 2004 and 2012. The multidisciplinary clinic uses multimodal imaging together with ultrasonography-guided fine needle aspiration for masses and ultrasonography-guided and stereotactic biopsies as needed. Diagnostic accuracy was assessed by comparing one-stop diagnosis to the consolidated diagnosis obtained after surgery or biopsy or long-term monitoring. The medical cost per patient of the care pathway was assessed from patient-level data collected prospectively. RESULTS: Sixty-nine percent of the patients had masses, while 31% had micro-calcifications or other non-mass lesions. In 75% of the cases (87% of masses), an exact diagnosis could be given on the same day. In the base-case analysis (i.e. considering only benign and malignant lesions at one-stop and at consolidated diagnoses), the sensitivity of the one-stop clinic was 98.4%, specificity 99.8%, positive and negative predictive values 99.7% and 99.0%. In the sensitivity analysis (reclassification of suspect, atypical and undetermined lesions), diagnostic sensitivity varied from 90.3% to 98.5% and specificity varied from 94.3% to 99.8%. The mean medical cost per patient of one-stop diagnostic procedure was euro420. CONCLUSIONS: One-stop breast clinic can provide timely and cost-efficient delivery of highly accurate diagnoses and serve as models of care for multiple settings, including rapid screening-linked diagnosis.
Publisher's website
Create date
16/09/2016 11:13
Last modification date
20/08/2019 17:23