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Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
Published on: February 6, 2020
A nomogram for predicting three or more axillary lymph node involvement before breast cancer surgery
Young-Joon Kang1, Jung Hyun Park2, Young Wook Ju2
1Department of Surgery, College of Medicine, Incheon St. Mary's Hospital, The Catholic University of Korea, Incheon, Republic of Korea.
A new nomogram using ultrasonography and PET/CT accurately identifies breast cancer patients not needing sentinel lymph node analysis. This tool improves prediction, potentially aiding neoadjuvant chemotherapy decisions for early-stage invasive breast cancer.
Area of Science:
- Oncology
- Radiology
- Surgical Pathology
Background:
- The American College of Surgeons Oncology Group (ACOSOG)-Z0011 established criteria for omitting sentinel lymph node biopsy in certain breast cancer patients.
- Previous nomograms identified patients not requiring intraoperative frozen sections for sentinel lymph node evaluation.
- The need for improved predictive tools using advanced imaging modalities persists.
Purpose of the Study:
- To validate and enhance a nomogram for identifying patients with clinical T1-2, node-negative invasive breast cancer who do not require intraoperative sentinel lymph node analysis.
- To assess the diagnostic performance of the nomogram utilizing ultrasonography (US) and positron emission tomography/computed tomography (PET/CT).
- To determine the nomogram's utility in selecting candidates for neoadjuvant chemotherapy.
Main Methods:
- A nomogram was developed based on factors associated with three or more axillary lymph node metastases in a training set of 1030 patients.
- The nomogram was validated on a separate set of 781 patients.
- The nomogram's performance was evaluated on 1067 patients meeting ACOSOG-Z0011 criteria, using US and PET/CT findings.
Main Results:
- The nomogram demonstrated strong predictive accuracy with an area under the receiver operating characteristic curve (AUC) of 0.856 in the training set and 0.866 in the validation set.
- Multivariate analysis identified larger tumor size, higher ultrasonographic ALN classification grade, and suspicious PET/CT findings as significant predictors.
- When applied to 1067 patients, the nomogram correctly identified 90 (8.4%) patients with high risk, achieving 93.8% specificity and 96.4% negative predictive value, with a 3.8% false-negative rate.
Conclusions:
- The upgraded nomogram, incorporating US and PET/CT, significantly improves the prediction of sentinel lymph node positivity in early-stage breast cancer.
- This tool effectively identifies patients who can safely forgo intraoperative analysis of sentinel lymph nodes.
- The nomogram's accuracy supports its use in clinical decision-making, including patient selection for neoadjuvant chemotherapy.
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