Literature DB >> 27025667

Mammography, US, and MRI for Preoperative Prediction of Extensive Intraductal Component of Invasive Breast Cancer: Interobserver Variability and Performances.

Hye Rin Kim1, Hae Kyoung Jung2, Kyung Hee Ko3, So Jung Kim3, Kyong Sik Lee4.   

Abstract

BACKGROUND: Interobserver variability and performances of imaging studies for predicting an extensive intraductal component (EIC) of invasive breast cancer have not been well established.
MATERIALS AND METHODS: Two independent readers retrospectively reviewed every preoperative mammography, ultrasonography (US), and magnetic resonance imaging (MRI) studies of 145 breast cancers in 144 patients with surgically confirmed EIC status and recorded the EIC presence for each study, using our own descriptors referred to in prior articles. Agreement and performance of each study for the prediction of an EIC were assessed. The reference standard was surgical pathologic findings.
RESULTS: Of 145 breast cancers, an EIC was present in 49 cancers (33.8%) in 49 patients. Overall agreement was perfect on mammography (κ = 0.944), and substantial in US (κ = 0.691) or in MRI (κ = 0.627), and moderate to perfect agreement was found on most descriptors (κ = 0.443-0.81), except some US descriptors (κ = 0.23-0.396). The sensitivity of each study showed no significant differences in both readers (0.73-0.82). For the specificity, mammography was better than US in 2 readers (0.69/0.5; P = .001; 0.72/0.6; P = .007, respectively), and MRI better than US in 1 reader (0.79/0.5; P = .039). Performances between the readers showed no significant differences in each study.
CONCLUSION: According to our data, mammography, US, and MRI are valid and reproducible methods for the preoperative prediction of an EIC of invasive breast cancer. However, US shows low agreement on some descriptors and lower performance than mammography or MRI.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast cancer; Extensive intraductal component; MR imaging; Mammography; Ultrasound

Mesh:

Substances:

Year:  2016        PMID: 27025667     DOI: 10.1016/j.clbc.2016.02.005

Source DB:  PubMed          Journal:  Clin Breast Cancer        ISSN: 1526-8209            Impact factor:   3.225


  4 in total

1.  Tumor margins that lead to reoperation in breast cancer: A retrospective register study of 4,489 patients.

Authors:  Maiju Lepomäki; Ulla Karhunen-Enckell; Jalmari Tuominen; Pauliina Kronqvist; Niku Oksala; Teemu Murtola; Antti Roine
Journal:  J Surg Oncol       Date:  2021-11-15       Impact factor: 2.885

2.  Identification of characteristic compounds of moderate volatility in breast cancer cell lines.

Authors:  Mitsuru Tanaka; Chung Hsuan; Masataka Oeki; Weilin Shen; Asuka Goda; Yusuke Tahara; Takeshi Onodera; Keisuke Sanematsu; Tomotsugu Rikitake; Eiji Oki; Yuzo Ninomiya; Rintaro Kurebayashi; Hideto Sonoda; Yoshihiko Maehara; Kiyoshi Toko; Toshiro Matsui
Journal:  PLoS One       Date:  2020-06-29       Impact factor: 3.240

3.  Semi-automatic segmentation from intrinsically-registered 18F-FDG-PET/MRI for treatment response assessment in a breast cancer cohort: comparison to manual DCE-MRI.

Authors:  Maren Marie Sjaastad Andreassen; Pål Erik Goa; Torill Eidhammer Sjøbakk; Roja Hedayati; Hans Petter Eikesdal; Callie Deng; Agnes Østlie; Steinar Lundgren; Tone Frost Bathen; Neil Peter Jerome
Journal:  MAGMA       Date:  2019-09-27       Impact factor: 2.310

4.  Magnetic Resonance Imaging or Ultrasound in Localized Intermediate- or High-Risk Soft Tissue Tumors of the Extremities (MUSTT): Final Results of a Prospective Comparative Trial.

Authors:  Bianca Bignotti; Federica Rossi; Alessio Signori; Nicola Solari; Bruno Spina; Carlo Martinoli; Alberto Stefano Tagliafico
Journal:  Diagnostics (Basel)       Date:  2022-02-05
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.