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Anatomical classification of breast sentinel lymph nodes using computed tomography-lymphography
Tamaki Fujita1, Hiroyuki Miura2, Hiroko Seino1,3
1Department of Radiology and Radiation Oncology, Graduate School of Medicine, Hirosaki University, 5 Zaifu-cho, Hirosaki-shi, Aomori, 036-8562, Japan.
Preoperative computed tomography-lymphography (CT-L) effectively classifies breast sentinel lymph node anatomy. Understanding lymphatic routes and node location is crucial for optimal breast cancer treatment planning.
Area of Science:
- Oncology
- Radiology
- Anatomy
Background:
- Sentinel lymph node biopsy is standard for staging breast cancer.
- Accurate anatomical classification of sentinel lymph nodes aids surgical planning.
- Preoperative imaging can improve the identification and biopsy of sentinel lymph nodes.
Purpose of the Study:
- To evaluate the anatomical classification and location of breast sentinel lymph nodes using preoperative computed tomography-lymphography (CT-L).
- To assess the clinical importance of understanding lymphatic and sentinel lymph node morphology for breast cancer treatment.
Main Methods:
- Retrospective review of 464 cases of clinically node-negative breast cancer patients who underwent CT-L between July 2007 and June 2016.
- Anatomical classification based on lymphatic route number, sentinel lymph node number, flow direction, and location.
- Analysis of CT-L findings for variations in lymphatic pathways and sentinel lymph node characteristics.
Main Results:
- Anatomical classification was feasible in 93.5% of cases (434/464).
- The most common pattern was a single route with a single sentinel lymph node (68.2%).
- Outward lymphatic flow towards axillary nodes was observed in 98.8% of cases, with 74.4% located in the upper pectoral group.
Conclusions:
- Computed tomography-lymphography is a suitable imaging modality for preoperative assessment of breast sentinel lymph node anatomy.
- Significant variations exist in lymphatic route patterns and sentinel lymph node characteristics.
- Preoperative understanding of anatomical morphology is clinically important for optimizing breast cancer treatment.
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