Literature DB >> 9769377

Thin section computed tomography in the prone position for detection of axillary lymph node metastases in breast cancer.

Y Hata1, Y Ogawa, A Nishioka, T Inomata, S Yoshida.   

Abstract

Presence or absence of lymph node metastases is the most accurate prognostic indicator in breast cancer. Clinical examination is unreliable in detecting involved nodes. Formerly, CT (computed tomography) was concluded to be an unreliable predictor of axillary lymph node involvement, primarily because of its low negative predictive value. In our institute, thin section CT (TS-CT) in the prone position was performed in patients with breast cancer to improve the predictability of axillary lymph node involvement. Pre-operative TS-CT examination of the axilla and breast was performed in 71 women with breast cancer. The sensitivity for involved nodes was 93.8%, the specificity 82.1%, and the accuracy 87. 3%. Based on these results, we concluded that TS-CT is an accurate predictor of axillary lymph node involvement. However, the upper limit of accuracy was approximately 85% for the imaging diagnoses, mainly because of the existance of micrometastases.

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Year:  1998        PMID: 9769377     DOI: 10.3892/or.5.6.1403

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  4 in total

1.  MR imaging-guided axillary node biopsy for breast cancer: initial findings.

Authors:  Takuji Yamagami; Sachiko Yuen; Kiyoshi Sawai; Tsunehiko Nishimura
Journal:  Eur Radiol       Date:  2003-06-14       Impact factor: 5.315

2.  Evaluation of axillary status in patients with breast cancer using thin-section CT.

Authors:  Tadahiko Shien; Sadako Akashi-Tanaka; Miwa Yoshida; Takashi Hojo; Eriko Iwamoto; Kunihisa Miyakawa; Takayuki Kinoshita
Journal:  Int J Clin Oncol       Date:  2008-08-15       Impact factor: 3.402

3.  Computed tomography Hounsfield units can predict breast cancer metastasis to axillary lymph nodes.

Authors:  Masakazu Urata; Yuko Kijima; Munetsugu Hirata; Yoshiaki Shinden; Hideo Arima; Akihiro Nakajo; Chihaya Koriyama; Takaaki Arigami; Yoshikazu Uenosono; Hiroshi Okumura; Kosei Maemura; Sumiya Ishigami; Heiji Yoshinaka; Shoji Natsugoe
Journal:  BMC Cancer       Date:  2014-09-30       Impact factor: 4.430

4.  Lymph node shape in computed tomography imaging as a predictor for axillary lymph node metastasis in patients with breast cancer.

Authors:  Goro Kutomi; Tousei Ohmura; Fukino Satomi; Tomoko Takamaru; Hiroaki Shima; Yasuyo Suzuki; Seiko Otokozawa; Hitoshi Zembutsu; Mitsuru Mori; Koichi Hirata
Journal:  Exp Ther Med       Date:  2014-06-16       Impact factor: 2.447

  4 in total

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