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Utility of 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Fusion Imaging for Prediction of Metastasis to Sentinel and Nonsentinel Nodes in Patients with Clinically Node-Negative Breast Cancer.
Yamagishi, Yoji; Yamasaki, Tamio; Ishida, Jiro; Moriya, Tomoyuki; Einama, Takahiro; Koiwai, Tomomi; Fukumura-Koga, Makiko; Kono, Takako; Hayashi, Katsumi; Ueno, Hideki; Yamamoto, Junji; Tsuda, Hitoshi.
Affiliation
  • Yamagishi Y; Department of Basic Pathology, National Defense Medical College, Tokorozawa, Japan.
  • Yamasaki T; Department of Surgery, National Defense Medical College, Tokorozawa, Japan.
  • Ishida J; Department of Surgery, National Defense Medical College, Tokorozawa, Japan.
  • Moriya T; Tokorozawa PET Diagnostic Imaging Clinic, Tokorozawa, Japan.
  • Einama T; Department of Surgery, National Defense Medical College, Tokorozawa, Japan.
  • Koiwai T; Sugiura Breast Gastroenterology Clinic, Tokorozawa, Japan.
  • Fukumura-Koga M; Department of Surgery, National Defense Medical College, Tokorozawa, Japan.
  • Kono T; Department of Surgery, National Defense Medical College, Tokorozawa, Japan.
  • Hayashi K; Department of Surgery, National Defense Medical College, Tokorozawa, Japan.
  • Ueno H; Department of Basic Pathology, National Defense Medical College, Tokorozawa, Japan.
  • Yamamoto J; Department of Radiology, National Defense Medical College, Tokorozawa, Japan.
  • Tsuda H; Department of Surgery, National Defense Medical College, Tokorozawa, Japan.
Ann Surg Oncol ; 27(8): 2698-2710, 2020 Aug.
Article in En | MEDLINE | ID: mdl-32124121
PURPOSE: 18F-Fluorodeoxyglucose positron emission tomography/computed tomography fusion imaging (18F-FDG PET/CT) is an important diagnostic tool in breast cancer. The utility of maximum standardized uptake values (SUVmax) of primary tumors has been evaluated to predict sentinel node (SN) and non-SN metastasis in clinically node-negative (cN0) patients. PATIENTS AND METHODS: 18F-FDG PET/CT was performed on 414 cN0 patients. The following parameters were evaluated: SUVmax at 60 min (SUVmax1), SUVmax at 120 min (SUVmax2), percent change between SUVmax1 and SUVmax2 (ΔSUVmax%), SN metastasis foci maximum size (SN meta size), and ratio of metastatic SNs to total SNs or SN ratio (SNR). It was assessed whether these were risk factors for SN metastasis. The relationship between these parameters and the status of SN and/or non-SN metastasis was retrospectively explored to predict non-SN metastasis. RESULTS: All SUV parameters significantly correlated with pathological T factor (pT), nuclear grade, lymphatic invasion (Ly), and Ki-67 labeling index. On multivariate analysis, pT and Ly were independent predictive factors for SN metastasis. In SN meta-positive cases, SN meta size, SNR, and ΔSUVmax% were predictors for non-SN metastasis on univariate analyses, and the former two were independent predictors on multivariate analysis. The combination of SUVmax2 and ΔSUVmax% was an independent predictor of non-SN metastasis (P = 0.0312) and was associated with prediction of non-SN metastasis negative status with high probability (92.3%). CONCLUSIONS: In patients with cN0 breast cancer, SUV parameters of the primary tumor were correlated with pathological features. The combination of SUVmax2 and ΔSUVmax% may be useful for predicting non-SN metastasis.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Fluorodeoxyglucose F18 / Lymph Nodes Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Aged80 / Female / Humans / Middle aged Language: En Journal: Ann Surg Oncol Journal subject: NEOPLASIAS Year: 2020 Document type: Article Affiliation country: Japan Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Fluorodeoxyglucose F18 / Lymph Nodes Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Aged80 / Female / Humans / Middle aged Language: En Journal: Ann Surg Oncol Journal subject: NEOPLASIAS Year: 2020 Document type: Article Affiliation country: Japan Country of publication: United States