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Ngai V, Tai JCJ, Taj S, Khanfar H, Sfakianakis E, Bakalis A, Baker R, Ahmed M. Non-invasive predictors of axillary lymph node burden in breast cancer: a single-institution retrospective analysis. Breast Cancer Res Treat 2022; 195:161-169. [PMID: 35864309 PMCID: PMC9374610 DOI: 10.1007/s10549-022-06672-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 07/02/2022] [Indexed: 11/13/2022]
Abstract
PURPOSE Axillary staging is an important prognostic factor in breast cancer. Sentinel lymph node biopsy (SNB) is currently used to stage patients who are clinically and radiologically node-negative. Since the establishment that axillary node clearance (ANC) does not improve overall survival in breast-conserving surgery for patients with low-risk biological cancers, axillary management has become increasingly conservative. This study aims to identify and assess the clinical predictive value of variables that could play a role in the quantification of axillary burden, including the accuracy of quantifying abnormal axillary nodes on ultrasound. METHODS A retrospective analysis was conducted of hospital data for female breast cancer patients receiving an ANC at our centre between January 2018 and January 2020. The reference standard for axillary burden was surgical histology following SNB and ANC, allowing categorisation of the patients under 'low axillary burden' (2 or fewer pathological macrometastases) or 'high axillary burden' (> 2). After exploratory univariate analysis, multivariate logistic regression was conducted to determine relationships between the outcome category and candidate predictor variables: patient age at diagnosis, tumour focality, tumour size on ultrasound and number of abnormal lymph nodes on axillary ultrasound. RESULTS One hundred and thirty-five patients were included in the analysis. Logistic regression showed that the number of abnormal lymph nodes on axillary ultrasound was the strongest predictor of axillary burden and statistically significant (P = 0.044), with a sensitivity of 66.7% and specificity of 86.8% (P = 0.011). CONCLUSION Identifying the number of abnormal lymph nodes on preoperative ultrasound can help to quantify axillary nodal burden and identify patients with high axillary burden, and should be documented as standard in axillary ultrasound reports of patients with breast cancer.
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Affiliation(s)
- Victoria Ngai
- University College London Medical School, London, UK.
- Division of Surgery and Interventional Science, University College London, London, UK.
| | | | - Saima Taj
- Department of Breast Surgery, Royal Free London NHS Foundation Trust, London, UK
| | - Heba Khanfar
- Department of Breast Surgery, Royal Free London NHS Foundation Trust, London, UK
| | | | - Athanasios Bakalis
- Department of Breast Surgery, Royal Free London NHS Foundation Trust, London, UK
| | - Rose Baker
- Department of Statistics, School of Business, University of Salford, Salford, UK
| | - Muneer Ahmed
- Division of Surgery and Interventional Science, University College London, London, UK.
- Department of Breast Surgery, Royal Free London NHS Foundation Trust, London, UK.
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Evaluation of different imaging modalities for axillary lymph node staging in breast cancer patients to provide a personalized and optimized therapy algorithm. J Cancer Res Clin Oncol 2022:10.1007/s00432-022-04221-9. [PMID: 35948829 DOI: 10.1007/s00432-022-04221-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 07/18/2022] [Indexed: 10/15/2022]
Abstract
PURPOSE The reliable detection of tumor-infiltrated axillary lymph nodes for breast cancer [BC] patients plays a decisive role in further therapy. We aimed to find out whether cross-sectional imaging techniques could improve sensitivity for pretherapeutic axillary staging in nodal-positive BC patients compared to conventional imaging such as mammography and sonography. METHODS Data for breast cancer patients with tumor-infiltrated axillary lymph nodes having received surgery between 2014 and 2020 were included in this study. All examinations (sonography, mammography, computed tomography [CT] and magnetic resonance imaging [MRI]) were interpreted by board-certified specialists in radiology. The sensitivity of different imaging modalities was calculated, and binary logistic regression analyses were performed to detect variables influencing the detection of positive lymph nodes. RESULTS All included 382 breast cancer patients had received conventional imaging, while 52.61% of the patients had received cross-sectional imaging. The sensitivity of the combination of all imaging modalities was 68.89%. The combination of MRI and CT showed 63.83% and the combination of sonography and mammography showed 36.11% sensitivity. CONCLUSION We could demonstrate that cross-sectional imaging can improve the sensitivity of the detection of tumor-infiltrated axillary lymph nodes in breast cancer patients. Only the safe detection of these lymph nodes at the time of diagnosis enables the evaluation of the response to neoadjuvant therapy, thereby allowing access to prognosis and improving new post-neoadjuvant therapies.
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Skarping I, Nilsson K, Dihge L, Fridhammar A, Ohlsson M, Huss L, Bendahl PO, Steen Carlsson K, Rydén L. The implementation of a noninvasive lymph node staging (NILS) preoperative prediction model is cost effective in primary breast cancer. Breast Cancer Res Treat 2022; 194:577-586. [PMID: 35790694 PMCID: PMC9287207 DOI: 10.1007/s10549-022-06636-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 05/13/2022] [Indexed: 11/29/2022]
Abstract
Purpose The need for sentinel lymph node biopsy (SLNB) in clinically node-negative (cN0) patients is currently questioned. Our objective was to investigate the cost-effectiveness of a preoperative noninvasive lymph node staging (NILS) model (an artificial neural network model) for predicting pathological nodal status in patients with cN0 breast cancer (BC). Methods A health-economic decision-analytic model was developed to evaluate the utility of the NILS model in reducing the proportion of cN0 patients with low predicted risk undergoing SLNB. The model used information from a national registry and published studies, and three sensitivity/specificity scenarios of the NILS model were evaluated. Subgroup analysis explored the outcomes of breast-conserving surgery (BCS) or mastectomy. The results are presented as cost (€) and quality-adjusted life years (QALYs) per 1000 patients. Results All three scenarios of the NILS model reduced total costs (–€93,244 to –€398,941 per 1000 patients). The overall health benefit allowing for the impact of SLNB complications was a net health gain (7.0–26.9 QALYs per 1000 patients). Sensitivity analyses disregarding reduced quality of life from lymphedema showed a small loss in total health benefits (0.4–4.0 QALYs per 1000 patients) because of the reduction in total life years (0.6–6.5 life years per 1000 patients) after reduced adjuvant treatment. Subgroup analyses showed greater cost reductions and QALY gains in patients undergoing BCS. Conclusion Implementing the NILS model to identify patients with low risk for nodal metastases was associated with substantial cost reductions and likely overall health gains, especially in patients undergoing BCS. Supplementary Information The online version contains supplementary material available at 10.1007/s10549-022-06636-x.
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Affiliation(s)
- Ida Skarping
- Division of Oncology, Department of Clinical Sciences, Lund University, Lund, Sweden. .,Department of Clinical Physiology and Nuclear Medicine, Skåne University Hospital, Lund, Sweden.
| | | | - Looket Dihge
- Division of Surgery, Department of Clinical Sciences, Lund University, Lund, Sweden.,Department of Plastic and Reconstructive Surgery, Skåne University Hospital, Malmö, Sweden
| | | | - Mattias Ohlsson
- Division of Computational Biology and Biological Physics, Department of Astronomy and Theoretical Physics, Lund University, Lund, Sweden
| | - Linnea Huss
- Division of Surgery, Department of Clinical Sciences Helsingborg, Lund University, Lund, Sweden.,Department of Surgery, Helsingborg General Hospital, Helsingborg, Sweden
| | - Pär-Ola Bendahl
- Division of Oncology, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Katarina Steen Carlsson
- The Swedish Institute for Health Economics, Lund, Sweden.,Department of Clinical Sciences, Health Economics, Lund University, Malmö, Lund, Sweden
| | - Lisa Rydén
- Division of Surgery, Department of Clinical Sciences, Lund University, Lund, Sweden.,Department of Surgery and Gastroenterology, Skåne University Hospital, Malmö, Sweden
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The NILS Study Protocol: A Retrospective Validation Study of an Artificial Neural Network Based Preoperative Decision-Making Tool for Noninvasive Lymph Node Staging in Women with Primary Breast Cancer (ISRCTN14341750). Diagnostics (Basel) 2022; 12:diagnostics12030582. [PMID: 35328135 PMCID: PMC8947586 DOI: 10.3390/diagnostics12030582] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Revised: 02/16/2022] [Accepted: 02/21/2022] [Indexed: 11/16/2022] Open
Abstract
Newly diagnosed breast cancer (BC) patients with clinical T1–T2 N0 disease undergo sentinel-lymph-node (SLN) biopsy, although most of them have a benign SLN. The pilot noninvasive lymph node staging (NILS) artificial neural network (ANN) model to predict nodal status was published in 2019, showing the potential to identify patients with a low risk of SLN metastasis. The aim of this study is to assess the performance measures of the model after a web-based implementation for the prediction of a healthy SLN in clinically N0 BC patients. This retrospective study was designed to validate the NILS prediction model for SLN status using preoperatively available clinicopathological and radiological data. The model results in an estimated probability of a healthy SLN for each study participant. Our primary endpoint is to report on the performance of the NILS prediction model to distinguish between healthy and metastatic SLNs (N0 vs. N+) and compare the observed and predicted event rates of benign SLNs. After validation, the prediction model may assist medical professionals and BC patients in shared decision making on omitting SLN biopsies in patients predicted to be node-negative by the NILS model. This study was prospectively registered in the ISRCTN registry (identification number: 14341750).
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Yi CB, Ding ZY, Deng J, Ye XH, Chen L, Zong M, Li CY. Combining the Ultrasound Features of Primary Tumor and Axillary Lymph Nodes Can Reduce False-Negative Rate during the Prediction of High Axillary Node Burden in BI-RADS Category 4 or 5 Breast Cancer Lesions. ULTRASOUND IN MEDICINE & BIOLOGY 2020; 46:1941-1948. [PMID: 32451195 DOI: 10.1016/j.ultrasmedbio.2020.04.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2019] [Revised: 03/29/2020] [Accepted: 04/02/2020] [Indexed: 06/11/2023]
Abstract
The purpose of this study was to determine whether incorporation of the ultrasound (US) features of the primary tumor and axillary lymph node (ALN) could improve the prediction of high axillary nodal burden (HNB) and, thus, avoid unnecessary sentinel lymph node biopsy (SLNB). A total of 347 patients with Breast Imaging Reporting and Data System US category 4 or 5 breast cancer lesions were included. Their pre-operative US features and post-operative pathologic results were collected. The patients were then divided into the following groups based on surgical histology: limited nodal burden (LNB: 0-2 LNs involved) and heavy nodal burden (HNB: ≥3 metastatic LNs). Univariate and multivariate logistic regression analyses were conducted to determine the most valuable variables for HNB prediction. Receiver operating characteristic curves were obtained to assess their values. We found that a non-circumscribed margin, cortical thickness (≥3 mm) and number (≥3) of suspicious ALNs are indicators for HNB prediction. The false-negative rate (FNR) in model 1 (cortical thickness + number of suspicious ALNs) was 15.5% versus 3.4% in model 2 (non-circumscribed margin + cortical thickness + number of suspicious ALNs). Our results indicate that combining the US features of the primary tumor and ALNs can reduce the FNR during HNB prediction.
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Affiliation(s)
- Chun-Bei Yi
- Department of Ultrasound, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zhi-Ying Ding
- Department of Ultrasound, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jing Deng
- Department of Ultrasound, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xin-Hua Ye
- Department of Ultrasound, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Lin Chen
- Department of Breast Surgery, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Min Zong
- Department of Radiology, First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
| | - Cui-Ying Li
- Department of Ultrasound, First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
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Shojaee L, Abedinnegad S, Nafisi N, Naghshvar F, Godazandeh G, Moradi S, Shakeri Astani K, Godazandeh Y. Sentinel Node Biopsy in Early Breast Cancer Patients with Palpable Axillary Node. Asian Pac J Cancer Prev 2020; 21:1631-1636. [PMID: 32592357 PMCID: PMC7568865 DOI: 10.31557/apjcp.2020.21.6.1631] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Sentinel lymph node biopsy is a reliable method for evaluation of the axillary lymph node status in early stage breast cancer patients with non-palpable lymph nodes. The present study evaluated the status of sentinel and non-sentinel lymph nodes in T1T2 patients with palpable axillary lymph nodes. MATERIALS AND METHODS One hundred and two women with early breast cancer were investigated in this study. Patients were selected for axillary sentinel lymph node biopsy and then surgery .Then the rates of false negative and true positive, and diagnostic accuracy of sentinel lymph nodes biopsy were evaluated. In addition, the hormone receptors status of the tumor was determined through IHC and data was analyzed in SPSS21. RESULTS In this study, the mean age of the patients was 49 years, 85% had invasive ductal carcinoma in their pathology reports, 77% were ER/PR positive, 30% HER2 positive and 9.8% triple negative and 69% had KI67<14%. In frozen pathology, 15.7 and 84.3% were sentinel positive and negative, respectively, and in the final pathology, 41 and 58.8% were sentinel positive and negative, respectively. This difference arises from the false negative rate of the frozen pathology, which was about 31.3%. The sensitivity, specificity, and diagnostic accuracy of the frozen section were 24, 90 and 43%, respectively. Lymphovascular invasion is an important effective factor in the involvement of sentinel and non-sentinel lymph nodes. Statistical analysis showed that the probability of sentinel and non-sentinel lymph nodes involvement was higher in receptor positive patients and those with KI67>14% (p<0.002) whereas the rate of involvement was lower in triple negative patients. CONCLUSION Sentinel node biopsy can be used in a significant percentage of breast cancer patients with palpable and reactive axillary lymph nodes.
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Affiliation(s)
- Leyla Shojaee
- Department of Surgery, Mazandaran University of Medical Sciences, Sari, Iran
| | - Sheida Abedinnegad
- Department of Surgery, Mazandaran University of Medical Sciences, Sari, Iran
| | - Nahid Nafisi
- Department of Breast Surgery, Iran University of Medical Sciences, Tehran, Iran
| | - Farshad Naghshvar
- Department of Pathology, Mazandaran University of Medical Sciences, Sari, Iran
| | | | - Siavosh Moradi
- School of Epidmiology, Mazandaran University of Medical Sciences, Sari, Iran
| | - Kiarash Shakeri Astani
- School of Medicine, Student Research Committee of Mazandaran University of Medical, Sari, Iran
| | - Yasaman Godazandeh
- School of Medicine, Student Research Committee of Mazandaran University of Medical, Sari, Iran
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Oliver Guillén JR, Hernando Almudi E, Molina Osorio G, Ibañez Carreras R, Font Gómez JA, Vicente Gómez I, García Mur C, Casamayor Franco MC. Intraoperative radiotherapy in early breast cancer: observational comparison with whole breast radiotherapy. Cir Esp 2020; 99:132-139. [PMID: 32493607 DOI: 10.1016/j.ciresp.2020.04.024] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 04/10/2020] [Accepted: 04/13/2020] [Indexed: 11/16/2022]
Abstract
INTRODUCTION In early breast cancer (EBC), a single dose of intraoperative radiotherapy (IORT) might be an option to standard whole breast radiotherapy (WBRT). However, there is no consensus about its use and clinical results. AIM to analyse the morbidity and oncological outcomes of IORT as monotherapy in EBC. METHODS A single centre observational analytic study was performed. A prospective IORT cohort (2015-17) and a retrospective WBRT cohort (2012-17) were selected following the same criteria: ≥ 45 y.o., invasive ductal carcinoma or variants, radiological tumour size ≤ 3 cm, positive oestrogenic receptors, negative HER2, cN0; exclusion criteria: lymphovascular invasion, multicentricity/multifocality, BRCA mutation and neoadjuvant therapy. Clinical, histological, surgical, oncological characteristics and complications were collected. RESULTS A total of 425 cases were selected: 217 in IORT cohort and 208 in WBRT cohort. Average age in IORT and WBRT groups was 67±9.5 and 64.8 ± 9.9 y.o. respectively (p = 0.01). ASA 3 risk score patients were 17.7% in IORT and 24 cases in WBRT (p = 0.027). There were no differences in histological results or tumoral stage. Average follow up was 24.4 ± 8 months in IORT and 50.5 ± 18 months in WBRT (p < 0.001). No differences were detected in local recurrence, metastases or mortality. Complications that required reintervention or hospitalization were similar in both groups. A total of 3 and 14 cases developed early severe dermatitis in IORT and WBRT groups respectively (p = 0.01). CONCLUSION IORT as monotherapy in selected patients with EBC stands for an alternative option versus WBRT. It seems especially useful in advanced-age patients with severe comorbidities. IORT associates lesser early severe dermatitis.
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Affiliation(s)
- José Ramón Oliver Guillén
- IIS Aragón. S. de Cirugía General y del Ap. Digestivo, Hospital Universitario Miguel Servet, Zaragoza, España.
| | - Ernesto Hernando Almudi
- S. de Cirugía General y del Ap. Digestivo, Hospital Universitario Miguel Servet, Zaragoza, España
| | | | - Reyes Ibañez Carreras
- S. de Oncología Radioterápica, Hospital Universitario Miguel Servet, Zaragoza, España
| | | | | | - Carmen García Mur
- S. de Radiología, Hospital Universitario Miguel Servet, Zaragoza, España
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