Literature DB >> 31365505

Diagnostic performance of time-of-flight PET/CT for evaluating nodal metastasis of the axilla in breast cancer.

Mio Mori1, Tomoyuki Fujioka1, Leona Katsuta1, Junichi Tsuchiya1, Kazunori Kubota1, Mai Kasahara2, Goshi Oda2, Tsuyoshi Nakagawa2, Iichiroh Onishi3, Ukihide Tateishi1.   

Abstract

OBJECTIVE: The aim of this study was to evaluate the performance of preoperative axillary lymph node assessment in breast cancer using time-of-flight 18F-fluorodeoxyglucose PET/computed tomography (TOF [F-18]FDG-PET/CT).
METHODS: Eighty-two women with breast cancer (mean age, 59.3 years; range, 30-84 years) underwent TOF [F-18]FDG-PET/CT scanning before surgery between January 2016 and June 2018 at our hospital. Visual analysis of FDG uptake and the maximum standardized uptake value (SUVmax) of axillary lymph nodes were compared with the pathological diagnoses.
RESULTS: There were 77 patients with invasive breast carcinoma (mean invasive long diameter, 18.5 mm; range, 2-90 mm) and five patients with noninvasive carcinoma. Axillary lymph node metastases were histologically confirmed in 13 of 82 patients (15.9%). SUVmax showed an area under a receiver operating characteristic curve of 0.916, and the cut-off value of 1.1 was appropriate. By visual assessment, there were 11 true positives, 15 false positives, 54 true negatives and two false negatives; the sensitivity, specificity, positive predictive value, negative predictive value and accuracy were 85%, 78%, 42%, 96% and 79%, respectively. SUVmax showed values of 69%, 99%, 90%, 94% and 94%, respectively.
CONCLUSIONS: The sensitivity of TOF [F-18]FDG-PET/CT was as high as 85% by visual analysis. SUVmax using TOF [F-18]FDG-PET/CT showed high diagnostic performance for N-staging in breast cancer patients, especially high negative predictive value. The specificity, positive predictive value and accuracy of SUVmax were higher than those of visual analysis.

Entities:  

Year:  2019        PMID: 31365505     DOI: 10.1097/MNM.0000000000001057

Source DB:  PubMed          Journal:  Nucl Med Commun        ISSN: 0143-3636            Impact factor:   1.690


  4 in total

Review 1.  Sensitivity, Specificity and the Diagnostic Accuracy of PET/CT for Axillary Staging in Patients With Stage I-III Cancer: A Systematic Review of The Literature.

Authors:  Judi Kasem; Umar Wazir; Kefah Mokbel
Journal:  In Vivo       Date:  2021 Jan-Feb       Impact factor: 2.155

2.  Diagnostic Value of Axillary Ultrasound, MRI, and 18F-FDG-PET/ CT in Determining Axillary Lymph Node Status in Breast Cancer Patients.

Authors:  Ayşegül Aktaş; Meryem Günay Gürleyik; Sibel Aydın Aksu; Fugen Aker; Serkan Güngör
Journal:  Eur J Breast Health       Date:  2021-12-30

3.  Deep Learning Using Multiple Degrees of Maximum-Intensity Projection for PET/CT Image Classification in Breast Cancer.

Authors:  Kanae Takahashi; Tomoyuki Fujioka; Jun Oyama; Mio Mori; Emi Yamaga; Yuka Yashima; Tomoki Imokawa; Atsushi Hayashi; Yu Kujiraoka; Junichi Tsuchiya; Goshi Oda; Tsuyoshi Nakagawa; Ukihide Tateishi
Journal:  Tomography       Date:  2022-01-05

4.  Virtual Navigator Real-Time Ultrasound Fusion Imaging with Positron Emission Tomography/Computed Tomography for Preoperative Breast Cancer.

Authors:  Mio Mori; Kazunori Kubota; Tomoyuki Fujioka; Leona Katsuta; Yuka Yashima; Kyoko Nomura; Emi Yamaga; Junichi Tsuchiya; Tokuko Hosoya; Goshi Oda; Tsuyoshi Nakagawa; Iichiroh Onishi; Ukihide Tateishi
Journal:  Medicina (Kaunas)       Date:  2021-11-24       Impact factor: 2.430

  4 in total

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