Literature DB >> 11029805

Quantitative ultrasound as a predictor of node metastases and prognosis in patients with breast cancer.

H Hashimoto1, M Suzuki, M Oshida, T Nagashima, H Yagata, T Shishikura, N Imanaka, N Nakajima.   

Abstract

BACKGROUND: A retrospective study was performed to determine whether preoperative quantitative ultrasound assessment could predict axillary lymph node metastases and prognosis in patients with breast cancer. We focused on the presence of a halo, which is one of the features of breast cancer on ultrasound and represents reflections from the invading margin around infiltrating malignancies.
METHODS: We evaluated ultrasonography from 187 infiltrating breast carcinoma patients with tumors 5 cm or less in greatest dimension (T1, T2). Using computer image analysis, the halo area (H) and the sum of the area of halo and internal echo (total tumor area (T)) were measured, and the ratio of halo to entire tumor (H/T, halo ratio) was calculated and compared with lymph node status and prognosis.
RESULTS: The mean of the halo ratio was 0.38+/-0.13. Using the value of 0.42 as a cut-off, the high halo ratio group had significantly worse prognoses for both overall and disease-free survival at 49 months in median follow-up (p <0.001 and p <0.0005, respectively). The specificity of a high halo ratio in the T1 classification for predicting axillary node metastasis was 83.1%, with a negative predictive value of 86.8%. In patients with tumors 1.0 cm or smaller, the negative predictive value was 100%. In a multivariate analysis, halo ratio was an independent predictor of disease-free survival of breast carcinoma patients (p =0.0232).
CONCLUSIONS: Preoperative quantitative ultrasound may be a useful non-invasive method for predicting the presence of axillary lymph node metastases and prognosis in patients with primary breast cancer.

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Year:  2000        PMID: 11029805     DOI: 10.1007/bf02967467

Source DB:  PubMed          Journal:  Breast Cancer        ISSN: 1340-6868            Impact factor:   4.239


  4 in total

1.  Conventional frequency ultrasonic biomarkers of cancer treatment response in vivo.

Authors:  Ali Sadeghi-Naini; Omar Falou; Hadi Tadayyon; Azza Al-Mahrouki; William Tran; Naum Papanicolau; Michael C Kolios; Gregory J Czarnota
Journal:  Transl Oncol       Date:  2013-06-01       Impact factor: 4.243

2.  Prediction of axillary lymph node metastasis in primary breast cancer patients using a decision tree-based model.

Authors:  Masahiro Takada; Masahiro Sugimoto; Yasuhiro Naito; Hyeong-Gon Moon; Wonshik Han; Dong-Young Noh; Masahide Kondo; Katsumasa Kuroi; Hironobu Sasano; Takashi Inamoto; Masaru Tomita; Masakazu Toi
Journal:  BMC Med Inform Decis Mak       Date:  2012-06-13       Impact factor: 2.796

3.  Prediction model of axillary lymph node status using automated breast ultrasound (ABUS) and ki-67 status in early-stage breast cancer.

Authors:  Qiucheng Wang; Bo Li; Zhao Liu; Haitao Shang; Hui Jing; Hua Shao; Kexin Chen; Xiaoshuan Liang; Wen Cheng
Journal:  BMC Cancer       Date:  2022-08-28       Impact factor: 4.638

4.  Utility of 18F-fluoro-deoxyglucose emission tomography/computed tomography fusion imaging (18F-FDG PET/CT) in combination with ultrasonography for axillary staging in primary breast cancer.

Authors:  Shigeto Ueda; Hitoshi Tsuda; Hideki Asakawa; Jiro Omata; Kazuhiko Fukatsu; Nobuo Kondo; Tadaharu Kondo; Yukihiro Hama; Katsumi Tamura; Jiro Ishida; Yoshiyuki Abe; Hidetaka Mochizuki
Journal:  BMC Cancer       Date:  2008-06-09       Impact factor: 4.430

  4 in total

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