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Selective surgical localization of axillary lymph nodes containing metastases in patients with breast cancer: a prospective feasibility trial.

ABSTRACT: Nodal ultrasonography with needle biopsy of abnormal lymph nodes helps to define the extent of breast cancer before neoadjuvant chemotherapy. A clip can be placed to designate lymph nodes with documented metastases. Targeted axillary dissection or selective removal of lymph nodes known to contain metastases (clip-containing nodes) as well as sentinel lymph nodes (SLNs) may provide more accurate assessment of the pathologic response after neoadjuvant chemotherapy.To determine the feasibility of image-guided localization and resection of lymph nodes containing known metastases.This prospective feasibility trial performed at MD Anderson Cancer Center, Houston, Texas, included 12 patients with axillary nodal metastases confirmed by results of fine-needle aspiration biopsy who had a clip placed in the lymph node targeted for biopsy from December 1, 2012, through November 30, 2013.Preoperative targeting of the clip-containing lymph node under ultrasonographic guidance consisting of wire localization in 2 patients and placement of radioactive iodine I 125 (125I)-labeled seeds in 10 patients. Surgeons removed the localized lymph node before completion axillary lymph node dissection and used radiography of the specimen to confirm removal of the clip-containing lymph node and seed.Confirmation of the removal of the clip-containing lymph node.Image-guided localization and selective removal were successful in all 12 patients. Five patients underwent SLN dissection in addition to removal of the clip-containing lymph node. Placement of 125I seeds did not interfere with lymphoscintigraphy or intraoperative identification of SLNs. In 4 of the 5 patients (80%), the clip-containing lymph node was one of the SLNs. Ten patients completed neoadjuvant chemotherapy before surgery. Of the 9 patients who underwent lymph node dissection, 4 (44%) had residual nodal disease after chemotherapy; all had disease identified in the clip-containing lymph node.Axillary lymph nodes marked with a clip can be localized and selectively removed to accomplish targeted axillary dissection, which is technically possible after chemotherapy and is easily performed with other axillary surgery, such as SLN dissection. The ability to add selective removal of the clip-containing lymph nodes to SLN dissection may identify patients for limited nodal surgery after chemotherapy with increased accuracy for determining residual disease compared with SLN identification alone.

SUBMITTER: Caudle AS

PROVIDER: S-EPMC4508192 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature

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Selective surgical localization of axillary lymph nodes containing metastases in patients with breast cancer: a prospective feasibility trial.

Caudle Abigail S AS Yang Wei T WT Mittendorf Elizabeth A EA Black Daliah M DM Hwang Rosa R Hobbs Brian B Hunt Kelly K KK Krishnamurthy Savitri S Kuerer Henry M HM

JAMA surgery 20150201 2

<h4>Importance</h4>Nodal ultrasonography with needle biopsy of abnormal lymph nodes helps to define the extent of breast cancer before neoadjuvant chemotherapy. A clip can be placed to designate lymph nodes with documented metastases. Targeted axillary dissection or selective removal of lymph nodes known to contain metastases (clip-containing nodes) as well as sentinel lymph nodes (SLNs) may provide more accurate assessment of the pathologic response after neoadjuvant chemotherapy.<h4>Objective< ...[more]

PMID: 25517573

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Project description:Objective:Biopsy markers are often placed into biopsy-proven metastatic axillary lymph nodes to ensure later accurate node excision. Ultrasound is the preferred imaging modality in the axilla. However, sonographic identification of biopsy markers after neoadjuvant therapy can be challenging. This is due to poor conspicuity relative to surrounding parenchymal interfaces, treatment-related alteration of malignant morphology during neoadjuvant chemotherapy, or extrusion of the marker from the target. To the authors' knowledge, the literature provides no recommendations for ultrasound scanning parameters that improve the detection of biopsy markers. The purpose of this manuscript is 3-fold: (1) To determine scanning parameters that improve sonographic conspicuity of biopsy markers in a phantom and cadaver model; (2) to implement these scanning parameters in the clinical setting; and (3) to provide strategies that might increase the likelihood of successful ultrasound detection of biopsy markers in breast imaging practices. Materials and Methods:An ex vivo study was performed using a phantom designed to simulate the heterogeneity of normal mammary or axillary soft tissues. A selection of available biopsy markers was deployed into this phantom and ultrasound (GE LOGIQ E9) was performed. Scanning parameters were adjusted to optimize marker conspicuity. For the cadaver study, the biopsy markers were deployed using ultrasound guidance into axillary lymph nodes of a female cadaver. Adjustments in transducer frequency, dynamic range, cross-beam (spatial compound imaging), beam steering, speckle reduction imaging, harmonic imaging, colorization, and speed of sound were evaluated. Settings that improved marker detection were used clinically for a year. Results:Sonographic scanning settings that improved biopsy marker conspicuity included increasing transducer frequency, decreasing dynamic range, setting cross-beam to medium hybrid, turning on beam steering, and setting speckle reduction imaging in the mid-range. There was no appreciable improvement with harmonic imaging, colorization, or speed of sound. Conclusion:On a currently available clinical ultrasound scanning system, ultrasound scanning parameters can be adjusted to improve the conspicuity of biopsy markers. Overall, optimization requires a balance between techniques that clinically increase contrast (dynamic range, harmonic imaging, and steering) and those that minimize graininess (spatial compound imaging, speckle reduction imaging, and steering). Additional scanning and procedural strategies have been provided to improve the confidence of sonographic detection of biopsy markers closely associated with the intended target.

Project description:Whether the expression status of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER-2) receptor and Ki-67 show concordance between the primary tumors and the synchronous axillary lymph node (ALN) metastases has been discussed in numerous studies. However, to date, the results of these studies remain controversial. Therefore, the present study aimed to investigate whether the expression of ER, PR, HER-2 and Ki-67 was in concordance between the primary tumors and synchronous ALN metastases in patients with operable breast cancer (BC). A total of 60 tissue samples were collected from patients with primary operable BC diagnosed with primary tumors and synchronous ALN metastases. The expression levels of the four biomarkers, ER, PR, HER-2 and Ki-67, were assessed in primary lesions and synchronous ALN metastases samples using immunohistochemistry. The cut-off values were set to 10% for ER and PR, while the labeling index of Ki-67 was set to 14%. The immunostaining intensity of ER and PR was scored as negative (?), 1+, 2+ and 3+. The criteria for HER-2 testing in BC were implemented according to the American Society of Clinical Oncology (ASCO) and the College of American Pathologists (CAP) guidelines. The concordance rates for ER, PR and HER-2 were 96.7 (58/60), 96.7 (58/60) and 90% (54/60), respectively. In addition, the kappa values of consistency in the primary lesions and the synchronous ALN metastases were 0.773 for ER, 0.654 for PR and 0.785 for HER-2. Furthermore, the P-values of ER, PR and Ki-67 numerical variables between the two groups were 0.393, 0.400 and 0.331, respectively, as demonstrated using a non-parametric Wilcoxon signed rank test. The findings of the present study demonstrated a high degree of concordance between the expression of ER, PR, HER-2 and Ki-67 in the primary tumors and that in the synchronous ALN metastases, suggesting that the BC primary tumor biomarkers may be used for the prognosis of synchronous ALN metastases in patients with operable BC.

Project description:PurposeTo develop a clinical-radiomics model based on radiomics features extracted from MRI and clinicopathologic factors for predicting the axillary pathologic complete response (apCR) in breast cancer (BC) patients with axillary lymph node (ALN) metastases.Materials and methodsThe MR images and clinicopathologic data of 248 eligible invasive BC patients at the Peking University First Hospital from January 2013 to December 2020 were included in this study. All patients received neoadjuvant chemotherapy (NAC), and the presence of ALN metastases was confirmed through cytology pre-NAC. The data from January 2013 to December 2018 were randomly divided into the training and validation sets in a ratio of 7:3, and the data from January 2019 to December 2020 served as the independent testing set. The following three types of prediction models were investigated in this study. 1) A clinical model: the model was built by independently predicting clinicopathologic factors through logistic regression. 2) Radiomics models: we used an automatic segmentation model based on deep learning to segment the axillary areas, visible ALNs, and breast tumors on post-NAC dynamic contrast-enhanced MRI. Radiomics features were then extracted from the region of interest (ROI). Radiomics models were built based on different ROIs or their combination. 3) A clinical-radiomics model: it was built by integrating radiomics signature and independent predictive clinical factors by logistic regression. All models were assessed using a receiver operating characteristic curve analysis and by calculating the area under the curve (AUC).ResultsThe clinical model yielded AUC values of 0.759, 0.787, and 0.771 in the training, validation, and testing sets, respectively. The radiomics model based on the combination of MRI features of breast tumors and visible ALNs yielded the best AUC values of 0.894, 0.811, and 0.806 in the training, validation, and testing sets, respectively. The clinical-radiomics model yielded AUC values of 0.924, 0.851, and 0.878 in the training, validation, and testing sets, respectively, for predicting apCR.ConclusionWe developed a clinical-radiomics model by integrating radiomics signature and clinical factors to predict apCR in BC patients with ALN metastases post-NAC. It may help the clinicians to screen out apCR patients to avoid lymph node dissection.

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Selective surgical localization of axillary lymph nodes containing metastases in patients with breast cancer: a prospective feasibility trial.

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Selective surgical localization of axillary lymph nodes containing metastases in patients with breast cancer: a prospective feasibility trial.

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