Literature DB >> 25577514

Breast sentinel lymph node navigation with three-dimensional computed tomography-lymphography: a 12-year study.

Shigeru Yamamoto1, Kazuyoshi Suga2, Kazunari Maeda3, Noriko Maeda3, Kiyoshi Yoshimura3, Masaaki Oka3.   

Abstract

PURPOSE: To evaluate the utility of three-dimensional (3D) computed tomography (CT)-lymphography (LG) breast sentinel lymph node navigation in our institute. PATIENTS AND METHODS: Between 2002 and 2013, we preoperatively identified sentinel lymph nodes (SLNs) in 576 clinically node-negative breast cancer patients with T1 and T2 breast cancer using 3D CT-LG method. SLN biopsy (SLNB) was performed in 557 of 576 patients using both the images of 3D CT-LG for guidance and the blue dye method.
RESULTS: Using 3D CT-LG, SLNs were visualized in 569 (99%) of 576 patients. Of 569 patients, both lymphatic draining ducts and SLNs from the peritumoral and periareolar areas were visualized in 549 (96%) patients. Only SLNs without lymphatic draining ducts were visualized in 20 patients. Drainage lymphatic pathways visualized with 3D CT-LG (549 cases) were classified into four patterns: single route/single SLN (355 cases, 65%), multiple routes/single SLN (59 cases, 11%) single route/multiple SLNs (62 cases, 11%) and multiple routes/multiple SLNs (73 cases, 13%). SLNs were detected in 556 (99.8%) of 557 patients during SLNB.
CONCLUSION: CT-LG is useful for preoperative visualization of SLNs and breast lymphatic draining routes. This preoperative method should contribute greatly to the easy detection of SLNs during SLNB.

Entities:  

Keywords:  Breast cancer; Computed tomography; Lymphography; Sentinel lymph node

Mesh:

Substances:

Year:  2015        PMID: 25577514     DOI: 10.1007/s12282-015-0584-0

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


  8 in total

1.  Computerized evaluation scheme to detect metastasis in sentinel lymph nodes using contrast-enhanced computed tomography before breast cancer surgery.

Authors:  Hiroshi Ashiba; Ryohei Nakayama
Journal:  Radiol Phys Technol       Date:  2018-11-29

2.  Awareness of Lymphatic Anatomy to Decrease False Negative Sentinel Lymph Node Rate in Breast Cancer.

Authors:  Vipin Goel; Kvvn Raju; Sridhar Dasu; Syed Nusrath
Journal:  Indian J Surg Oncol       Date:  2019-08-17

Review 3.  New Technologies for Sentinel Lymph Node Detection.

Authors:  Amit Goyal
Journal:  Breast Care (Basel)       Date:  2018-09-18       Impact factor: 2.860

4.  MR lymphography with superparamagnetic iron oxide for sentinel lymph node mapping of N0 early oral cancer: A pilot study.

Authors:  Satomi Sugiyama; Toshinori Iwai; Junichi Baba; Senri Oguri; Toshiharu Izumi; Masaki Sekino; Moriaki Kusakabe; Kenji Mitsudo
Journal:  Dentomaxillofac Radiol       Date:  2020-11-17       Impact factor: 2.419

5.  Accurate evaluation of axillary sentinel lymph node metastasis using contrast-enhanced ultrasonography with Sonazoid in breast cancer: a preliminary clinical trial.

Authors:  Fumihiko Matsuzawa; Kiyoka Omoto; Takahiro Einama; Hironori Abe; Takashi Suzuki; Jun Hamaguchi; Terumi Kaga; Mami Sato; Masako Oomura; Yumiko Takata; Ayako Fujibe; Chie Takeda; Etsuya Tamura; Akinobu Taketomi; Kenichi Kyuno
Journal:  Springerplus       Date:  2015-09-17

6.  Anatomical classification of breast sentinel lymph nodes using computed tomography-lymphography.

Authors:  Tamaki Fujita; Hiroyuki Miura; Hiroko Seino; Shuichi Ono; Takashi Nishi; Akimasa Nishimura; Kenichi Hakamada; Masahiko Aoki
Journal:  Anat Sci Int       Date:  2018-05-03       Impact factor: 1.741

7.  A novel somatic mutation of SIN3A detected in breast cancer by whole-exome sequencing enhances cell proliferation through ERα expression.

Authors:  Kenji Watanabe; Shigeru Yamamoto; Syuiti Sakaguti; Keishiro Isayama; Masaaki Oka; Hiroaki Nagano; Yoichi Mizukami
Journal:  Sci Rep       Date:  2018-10-30       Impact factor: 4.379

8.  CT lymphography for sentinel lymph node mapping of clinically N0 early oral cancer.

Authors:  Satomi Sugiyama; Toshinori Iwai; Toshiharu Izumi; Keita Ishiguro; Junichi Baba; Senri Oguri; Kenji Mitsudo
Journal:  Cancer Imaging       Date:  2019-11-12       Impact factor: 3.909

  8 in total

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