Sentinel lymph node detection in breast cancer patients by real-time virtual sonography constructed with three-dimensional computed tomography-lymphography.
Ultrasonography (US) is one tool for preoperative diagnosis of lymph node metastases in breast cancer. However, US cannot detect true sentinel lymph nodes (SLNs). We identified SLNs in 60 clinically node-negative breast cancer patients using a real-time virtual sonography (RVS) system to display in...
| Publicado en: | Breast Journal Vol. 16; no. 1; pp. 4 - 9 |
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| Autores principales: | , , , , , |
| Formato: | diagnostic images research Journal Article |
| Publicado: |
Wiley-Blackwell
Jan/Feb2010
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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=105291835&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105291835 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1075122X ET6 jtl: Breast Journal issn: 1075122X maglogo: Y pubinfo: dt: Jan/Feb2010 vid: 16 iid: 1 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 105291835 2010535827 10.1111/j.1524-4741.2009.00829.x NLM19825001 105291835 ppf: 4 ppct: 5 formats: fmt: @attributes: type: P tig: atl: Sentinel lymph node detection in breast cancer patients by real-time virtual sonography constructed with three-dimensional computed tomography-lymphography. aug: au: Yamamoto S Maeda N Tamesa M Nagashima Y Suga K Oka M affil: Department of Digestive Surgery and Surgical Oncology (Department of Surgery II), Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan sug: subj: Breast Neoplasms Diagnosis Breast Neoplasms Ultrasonography Neoplasm Metastasis Diagnosis Sentinel Lymph Node Biopsy Adult Aged Aged, 80 and Over Female Human Middle Age Predictive Value of Tests Radiographic Image Enhancement Sensitivity and Specificity Systems Design Time Factors Tomography, X-Ray Computed Virtual Reality Adult: 19-44 years Aged: 65+ years Aged, 80 & over Middle Aged: 45-64 years Female ab: Ultrasonography (US) is one tool for preoperative diagnosis of lymph node metastases in breast cancer. However, US cannot detect true sentinel lymph nodes (SLNs). We identified SLNs in 60 clinically node-negative breast cancer patients using a real-time virtual sonography (RVS) system to display in real time a virtual multi-planar reconstruction obtained from computed tomography (CT) volume data corresponding to the same cross-sectional image from US. CT volume data were obtained from our original three-dimensional CT lymphography (3DCT-LG), which accurately detects SLNs in breast cancer. SLN metastases were assessed by shape and visibility of the hilum. All patients underwent SLN biopsy and SLN metastases were examined pathologically. In all 60 patients, we were able to detect the same SLNs visualized by 3DCT-LG. Suspicious SLN metastases were identified in seven of the 60 patients, and four of seven patients were pathologically positive. Positive predictive value was 57%. The remaining 53 patients displayed non-suspect SLNs in which absence of metastasis from the SLN was confirmed histologically. Overall accuracy was 95%. This is a first attempt at preoperatively identifying SLNs using US guided by the RVS system in breast cancer patients. Although evaluation of SLN metastases was unsatisfactory, this method may be useful for preoperative fine-needle aspiration cytology for diagnosis of SLN metastases. pubtype: Academic Journal doctype: diagnostic images research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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