Role of Computer-Aided Detection in Very Small Screening Detected Invasive Breast Cancers.
This study aims to assess computer-aided detection (CAD) performance with full-field digital mammography (FFDM) in very small (equal to or less than 1 cm) invasive breast cancers. Sixty-eight invasive breast cancers less than or equal to 1 cm were retrospectively studied. All cases were detected wit...
| Publicado en: | Journal of Digital Imaging Vol. 26; no. 3; pp. 572 - 578 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2013
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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=104285050&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104285050 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Jun2013 vid: 26 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104285050 87498118 10.1007/s10278-012-9550-y NLM23131867 PMC3649063 104285050 ppf: 572 ppct: 6 formats: fmt: @attributes: type: P tig: atl: Role of Computer-Aided Detection in Very Small Screening Detected Invasive Breast Cancers. aug: au: Bargalló, Xavier Velasco, Martín Santamaría, Gorane Amo, Montse Arguis, Pedro Sánchez Gómez, Sonia affil: Department of Radiology (CDIC), Hospital Clínic de Barcelona, C/Villarroel,170 08036 Barcelona Spain sug: subj: Breast Neoplasms Diagnosis Diagnosis, Computer Assisted Radiography, Computed False Positive Results Weights and Measures Breast Anatomy and Histology Breast Neoplasms Classification Retrospective Design Sensitivity and Specificity Mann-Whitney U Test Chi Square Test Middle Age Aged Female Human Middle Aged: 45-64 years Aged: 65+ years Female ab: This study aims to assess computer-aided detection (CAD) performance with full-field digital mammography (FFDM) in very small (equal to or less than 1 cm) invasive breast cancers. Sixty-eight invasive breast cancers less than or equal to 1 cm were retrospectively studied. All cases were detected with FFDM in women aged 49-69 years from our breast cancer screening program. Radiological characteristics of lesions following BI-RADS descriptors were recorded and compared with CAD sensitivity. Age, size, BI-RADS classification, breast density type, histological type of the neoplasm, and role of the CAD were also assessed. Per-study specificity and mass false-positive rate were determined by using 100 normal consecutive studies. Thirty-seven (54.4 %) masses, 17 (25 %) calcifications, 6 (8.8 %) masses with calcifications, 7 (10.3 %) architectural distortions, and 1 asymmetry (1.5 %) were found. CAD showed an overall sensitivity of 86.7 % (masses, 86.5 %; calcifications, 100 %; masses with calcifications, 100 %; and architectural distortion, 57.14 %), CAD failed to detect 9 out of 68 cases: 5 of 37 masses, 3 of 7 architectural distortions, and 1 of 1 asymmetry. Fifteen out of 37 masses were hyperdense, and all of them were detected by CAD. No association was seen among mass morphology or margins and detectability. Per-study specificity and CAD false-positive rate was 26 % and 1.76 false marks per study. In conclusion, CAD shows a high sensitivity and a low specificity. Lesion size, histology, and breast density do not influence sensitivity. Mammographic features, mass density, and thickness of the spicules in architectural distortions do influence. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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