Literature DB >> 10987221

Imaging of axillary lymph nodes.

A Lernevall1.   

Abstract

There is increasing interest in the radiological diagnosis of axillary lymph nodes in patients with breast cancer, especially in the preoperative diagnosis of metastatic nodes. Both CT (computed tomography) and MRI (magnetic resonance imaging) are cross-sectional imaging methods that produce high-quality images of the axilla. MRI also uses contrast enhancement profile, for example in imaging of breast lesions. Few studies have been published on this subject, but the latest have shown high sensitivity and specificity (CT 93.8 and 82.1%, respectively; MRI 90 and 82%, respectively), although, both CT and MRI are restricted to imaging only. US (ultrasound) is widely spread and is fast and accurate with high resolution. Sensitivity and specificity vary (68.2-92% and 90-100%, respectively). Most importantly, there is the possibility of US-guided FNAB (fine-needle aspiration biopsy) of pathological nodes, which increases the specificity. Initial results with colour Doppler are promising, but a recent study has shown that the presence of colour Doppler flow signal is highly non-specific. Other parameters such as flow pattern and distribution may prove to be of value in this method. Today, the method of choice for the daily routine is US in conjunction with FNAB.

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Year:  2000        PMID: 10987221     DOI: 10.1080/028418600750013014

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  9 in total

1.  Significance of preoperative lymphoscintigraphy and thin-slice computed tomography on sentinel node assessment: metastatic sentinel node in a lateral paramammary lesion out of axillary nodes from breast cancer.

Authors:  Hajime Hikino; Kiyoshi Yasui; Nobuhiro Ozaki; Saburo Nagaoka
Journal:  Radiat Med       Date:  2006-10

Review 2.  Accuracy of axillary ultrasound in the diagnosis of nodal metastasis in invasive breast cancer: a review.

Authors:  Jonathan Cools-Lartigue; Sarkis Meterissian
Journal:  World J Surg       Date:  2012-01       Impact factor: 3.352

3.  Classification of Metastatic versus Non-Metastatic Axillary Nodes in Breast Cancer Patients: Value of Cortex-Hilum Area Ratio with Ultrasound.

Authors:  Sung Eun Song; Bo Kyoung Seo; Seung Hwa Lee; Ann Yie; Ki Yeol Lee; Kyu Ran Cho; Ok Hee Woo; Sang Hoon Cha; Baek Hyun Kim
Journal:  J Breast Cancer       Date:  2012-03-28       Impact factor: 3.588

4.  The safety and efficiency of the ultrasound-guided large needle core biopsy of axilla lymph nodes.

Authors:  Ki Hong Kim; Eun Ju Son; Eun-Kyung Kim; Kyung Hee Ko; Haeyoun Kang; Ki Keun Oh
Journal:  Yonsei Med J       Date:  2008-04-30       Impact factor: 2.759

5.  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

Review 6.  Monitoring therapeutic efficacy in breast carcinomas.

Authors:  Anne A Tardivon; Liliane Ollivier; Carl El Khoury; Fabienne Thibault
Journal:  Eur Radiol       Date:  2006-05-30       Impact factor: 7.034

7.  Axillary Adenopathy in Patients with Recent Covid-19 Vaccination: A New Diagnostic Dilemma.

Authors:  Arwa Ashoor; Julie Shephard; Germana Lissidini; Luca Nicosia
Journal:  Korean J Radiol       Date:  2021-12       Impact factor: 3.500

Review 8.  COVID-19 vaccine-related axillary lymphadenopathy in breast cancer patients: Case series with a review of literature.

Authors:  Jihe Lim; Seun Ah Lee; Eun Kyung Khil; Sun-Ju Byeon; Hee Joon Kang; Jung-Ah Choi
Journal:  Semin Oncol       Date:  2021-10-26       Impact factor: 4.929

9.  Improved false negative rate of axillary status using sentinel lymph node biopsy and ultrasound-suspicious lymph node sampling in patients with early breast cancer.

Authors:  Yulong Wang; Haiyan Dong; Hongyan Wu; Li Zhang; Kai Yuan; Hongqiang Chen; Mingwen Jiao; Rongzhan Fu
Journal:  BMC Cancer       Date:  2015-05-09       Impact factor: 4.430

  9 in total

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