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Axilla lymph node dissection can be safely omitted in patients with 1-2 positive sentinel nodes receiving mastectomy: a large multi-institutional study and a systemic meta-analysis. Breast Cancer Res Treat 2022; 196:129-141. [PMID: 36076127 DOI: 10.1007/s10549-022-06727-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 08/26/2022] [Indexed: 11/02/2022]
Abstract
PURPOSE This study aimed to evaluate whether axillary lymph node dissection (ALND) can be omitted in patients with 1-2 positive sentinel lymph nodes (SLNs) who received total mastectomy (TM). METHODS Consecutive breast cancer patients with 1-2 positive SLNs were retrospectively reviewed from a multi-institutional database. Patients were divided into sentinel lymph node biopsy (SLNB) group and ALND group. Administration of adjuvant chemotherapy and survival were compared between groups. To further verify the results, a meta-analysis was also conducted. RESULTS Among the 1161 enrolled patients, 893 (76.9%) received ALND and 268 (23.1%) underwent SLNB alone. Administration of chemotherapy was comparable between the two groups (91.1% vs. 90.6%, P = 0.798), which was consistent in TM (P = 0.638) and BCS cohort (P = 0.576). After a median follow-up of 36 months, no significant difference was observed between the two groups in recurrence-free survival (P = 0.583) regardless of surgery of breast. During further meta-analysis, 13 out of 4733 relative studies reported the association of axillary surgery and disease-free survival (DFS) or overall survival (OS) in 1-2 positive SLNs patients. Pooled analysis showed no difference in adjusted DFS (HR 0.84, 95% CI 0.70-1.02) or OS (HR 1.02, 95% CI 0.93-1.11) between SLNB and ALND groups. Survival benefit of ALND remained non-significant after restricting the analysis in four studies with patients only receiving BCS, or in three studies with patients only receiving TM. CONCLUSION Further ALND does not impact adjuvant chemotherapy administration or disease outcome in breast cancer patients with 1-2 positive SLNs treated with TM.
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Therapeutic Potential for Targeting Autophagy in ER+ Breast Cancer. Cancers (Basel) 2022; 14:cancers14174289. [PMID: 36077830 PMCID: PMC9454809 DOI: 10.3390/cancers14174289] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 08/24/2022] [Accepted: 08/26/2022] [Indexed: 02/07/2023] Open
Abstract
Simple Summary While ER+ breast cancer is generally considered to have a better prognosis than other breast cancer subtypes, relapse may nevertheless occur years after diagnosis and treatment. Despite initially responding to treatment, 30–40% of tumors acquire resistance to treatment that contributes to disease recurrence, metastasis, and ultimately, death. In the case of the individual estrogen antagonists or aromatase inhibitors, the autophagy induced by these agents is largely cytoprotective. However, whether autophagy inhibition will prove to be a useful strategy for improving outcomes for current combination therapeutic strategies awaits further studies. Abstract While endocrine therapy remains the mainstay of treatment for ER-positive, HER2-negative breast cancer, tumor progression and disease recurrence limit the utility of current standards of care. While existing therapies may allow for a prolonged progression-free survival, however, the growth-arrested (essentially dormant) state of residual tumor cells is not permanent and is frequently a precursor to disease relapse. Tumor cells that escape dormancy and regain proliferative capacity also tend to acquire resistance to further therapies. The cellular process of autophagy has been implicated in the adaptation, survival, and reactivation of dormant cells. Autophagy is a cellular stress mechanism induced to maintain cellular homeostasis. Tumor cells often undergo therapy-induced autophagy which, in most contexts, is cytoprotective in function; however, depending on how the autophagy is regulated, it can also be non-protective, cytostatic, or cytotoxic. In this review, we explore the literature on the relationship(s) between endocrine therapies and autophagy. Moreover, we address the different functional roles of autophagy in response to these treatments, exploring the possibility of targeting autophagy as an adjuvant therapeutic modality together with endocrine therapies.
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de Wild SR, de Munck L, Simons JM, Verloop J, van Dalen T, Elkhuizen PHM, Houben RMA, van Leeuwen AE, Linn SC, Pijnappel RM, Poortmans PMP, Strobbe LJA, Wesseling J, Voogd AC, Boersma LJ. De-escalation of radiotherapy after primary chemotherapy in cT1-2N1 breast cancer (RAPCHEM; BOOG 2010-03): 5-year follow-up results of a Dutch, prospective, registry study. Lancet Oncol 2022; 23:1201-1210. [PMID: 35952707 DOI: 10.1016/s1470-2045(22)00482-x] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 07/08/2022] [Accepted: 07/12/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Primary chemotherapy in breast cancer poses a dilemma with regard to adjuvant locoregional radiotherapy, as guidelines for locoregional radiotherapy were originally based on pathology results of primary surgery. We aimed to evaluate the oncological safety of de-escalated locoregional radiotherapy in patients with cT1-2N1 breast cancer treated with primary chemotherapy, according to a predefined, consensus-based study guideline. METHODS In this prospective registry study (RAPCHEM, BOOG 2010-03), patients referred to one of 17 participating radiation oncology centres in the Netherlands between Jan 1, 2011, and Jan 1, 2015, with cT1-2N1 breast cancer (one to three suspicious nodes on imaging before primary chemotherapy, of which at least one had been pathologically confirmed), and who were treated with primary chemotherapy and surgery of the breast and axilla were included in the study. The study guideline comprised three risk groups for locoregional recurrence, with corresponding locoregional radiotherapy recommendations: no chest wall radiotherapy and no regional radiotherapy in the low-risk group, only local radiotherapy in the intermediate-risk group, and locoregional radiotherapy in the high-risk group. Radiotherapy consisted of a biologically equivalent dose of 25 fractions of 2 Gy, with or without a boost. During the study period, the generally applied radiotherapy technique in the Netherlands was forward-planned or inverse-planned intensity modulated radiotherapy. 5-year follow-up was assessed, taking into account adherence to the study guideline, with locoregional recurrence rate as primary endpoint. We hypothesised that 5-year locoregional recurrence rate would be less than 4% (upper-limit 95% CI 7·8%). This study was registered at ClinicalTrials.gov, NCT01279304, and is completed. FINDINGS 838 patients were eligible for 5-year follow-up analyses: 291 in the low-risk group, 370 in the intermediate-risk group, and 177 in the high-risk group. The 5-year locoregional recurrence rate in all patients was 2·2% (95% CI 1·4-3·4). The 5-year locoregional recurrence rate was 2·1% (0·9-4·3) in the low-risk group, 2·2% (1·0-4·1) in the intermediate-risk group, and 2·3% (0·8-5·5) in the high-risk group. If the study guideline was followed, the locoregional recurrence rate was 2·3% (0·8-5·3) for the low-risk group, 1·0% (0·2-3·4) for the intermediate-risk group, and 1·4% (0·3-4·5) for the high-risk group. INTERPRETATION In this study, the 5-year locoregional recurrence rate was less than 4%, which supports our hypothesis that it is oncologically safe to de-escalate locoregional radiotherapy based on locoregional recurrence risk, in selected patients with cT1-2N1 breast cancer treated with primary chemotherapy, according to this predefined, consensus-based study guideline. FUNDING Dutch Cancer Society. TRANSLATION For the Dutch translation of the abstract see Supplementary Materials section.
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Affiliation(s)
- Sabine R de Wild
- Department of Surgery, GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, Netherlands.
| | - Linda de Munck
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, Netherlands
| | - Janine M Simons
- Department of Surgery, GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, Netherlands; Department of Radiotherapy, Erasmus Medical Centre, Rotterdam, Netherlands
| | - Janneke Verloop
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, Netherlands
| | - Thijs van Dalen
- Department of Surgery, Erasmus Medical Centre, Rotterdam, Netherlands
| | - Paula H M Elkhuizen
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Ruud M A Houben
- Department of Radiation Oncology, GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, Netherlands
| | | | - Sabine C Linn
- Department of Medical Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Ruud M Pijnappel
- Department of Radiology, University Medical Centre Utrecht, Utrecht University, Netherlands
| | - Philip M P Poortmans
- Department of Radiation Oncology, Iridium Netwerk, Antwerp, Belgium; Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Luc J A Strobbe
- Department of Surgery, Canisius Wilhelmina Hospital, Nijmegen, Netherlands
| | - Jelle Wesseling
- Department of Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Adri C Voogd
- Department of Epidemiology, GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, Netherlands; Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, Netherlands; CAPHRI Care and Public Health Research Institute, Maastricht, Netherlands
| | - Liesbeth J Boersma
- Department of Radiation Oncology, GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, Netherlands
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Xie J, Xu F, Zhao Y, Cai G, Lin X, Zhu Q, Lin Q, Yao Y, Xu C, Cai R, Wang S, Tang X, Chen C, Zheng S, Chen M, Chen M, Qian X, Shen C, Li J, Xu H, Xu F, Han Y, Li M, Ou D, Shen KW, Qi WX, Cao L, Huang X, Chen J. Hypofractionated versus conventional intensity-modulated radiation irradiation (HARVEST-adjuvant): study protocol for a randomised non-inferior multicentre phase III trial. BMJ Open 2022; 12:e062034. [PMID: 36581983 PMCID: PMC9438188 DOI: 10.1136/bmjopen-2022-062034] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
INTRODUCTION Short course regimen has become the major trend in the field of adjuvant radiotherapy for patients with breast cancer. Hypofractionated radiotherapy (HF-RT) regimen of 40-42.5 Gy in 15-16 fractions has been established as a preferred option for whole breast irradiation. However, few evidences of hypofractionated regional nodal irradiation (RNI), especially involving internal mammary nodes (IMNs), could be available during the era of intensity-modulated radiation therapy (IMRT). Against this background, we design this trial to explore the hypothesis that HF-RT regimen involving RNI (including infraclavicular, supraclavicular nodes and IMNs) will be non-inferior to a standard schedule by using IMRT technique. METHODS AND ANALYSIS This is an open-label randomised, non-inferior, multicentre phase III trial. Patients with breast cancer with an indication for RNI after breast conserving surgery or mastectomy are randomised at a ratio of 1:1 into the following two groups: hypofractionated regimen of 2.67 Gy for 16 fractions or conventional regimen of 2 Gy for 25 fractions. The dose was prescribed to ipsilateral chest wall or whole breast and RNI (including infraclavicular, supraclavicular nodes and IMNs, lower axilla if indicated). The trial plans to enrol a total of 801 patients and all patients will be treated using IMRT technique. The primary endpoint is 5-year locoregional recurrence. The secondary endpoints include 5-year distant metastasis free survival, invasive recurrence-free survival, overall survival, accumulative acute radiation-induced toxicity and accumulative late radiation-induced toxicity, cosmetic outcomes and quality of life. ETHICS AND DISSEMINATION The study has been approved by the Ethical Committee of Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine (version 2018-95-3) and approvals from ethical committee of each participating centre have also been obtained. Research findings will be submitted for publication in peer-reviewed journals. TRIAL REGISTRATION NUMBER NCT03829553.
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Affiliation(s)
- Jinrong Xie
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Feifei Xu
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Yutian Zhao
- Department of Radiation Oncology, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China
| | - Gang Cai
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Xiao Lin
- Yat-Sen Breast Tumor Hospital, Sun Yat-Sen Memorial Hospital,Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Centre, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Qiwei Zhu
- Department of Radiation Oncology, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China
| | - Qing Lin
- Department of Radiation Oncology, Shanghai Tenth People's Hospital, Shanghai, Shanghai, China
| | - Yuan Yao
- Department of Radiation Oncology, Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's Hospital, Shanghai, Shanghai, China
| | - Cheng Xu
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Rong Cai
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Shubei Wang
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Xiaolu Tang
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Chuying Chen
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Siyue Zheng
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Mei Chen
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Min Chen
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Xiaofang Qian
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Chunhong Shen
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Jian Li
- Clinical Research Centre, Ruijin Hospital, Shanghai Jiaotong university School of Medicine, Shanghai, Shanghai, China
| | - Haoping Xu
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Fei Xu
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Yimin Han
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Min Li
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Dan Ou
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Kun Wei Shen
- Department of General Surgery, Comprehensive Breast Health Centre, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, Shanghai, China
| | - Wei-Xiang Qi
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Lu Cao
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
| | - Xiaobo Huang
- Yat-Sen Breast Tumor Hospital, Sun Yat-Sen Memorial Hospital,Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Centre, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Department of Radiation Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Jiayi Chen
- Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, Shanghai, China
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Lerttiendamrong B, Treeratanapun N, Vacharathit V, Tantiphlachiva K, Vongwattanakit P, Manasnayakorn S, Vongsaisuwon M. Is Routine Intraoperative Frozen Section Analysis of Sentinel Lymph Nodes Necessary in Every Early-Stage Breast Cancer? BREAST CANCER: TARGETS AND THERAPY 2022; 14:281-290. [PMID: 36158940 PMCID: PMC9507279 DOI: 10.2147/bctt.s380579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 09/08/2022] [Indexed: 11/23/2022]
Abstract
Purpose Clinical application of the ACOSOG Z0011 trial results allows clinically node-negative breast cancer patients who meet criteria to avoid axillary dissection even when 1–2 sentinel lymph nodes (SLNs) are positive for metastatic disease. Intraoperative frozen section (iFS) analyses of SLNs were thought to reduce re-operation rates despite variable reported sensitivity and possibility of a false negative result. This study evaluated the rate of re-operations prevented by SLN iFS in a tertiary care hospital in Bangkok, Thailand, over a 6-year time-frame. Patients and Methods From April 2016 to April 2022, 1284 sentinel lymph node biopsy (SLNB) procedures were performed. Of these, 214 cases were breast-conserving surgery in accordance with the ACOSOG criteria with concomitant usage of iFS. Clinicopathological features of these cases were collected and analyzed. Re-operation rates prevented by the additional intervention were reported. Results Only five additional operations were prevented with the usage of 214 iFS. The discordance rate between frozen and permanent sections in terms of presence of metastatic disease and number of total lymph nodes was around 15%. Tumor staging, node staging, Nottingham histologic grading and lymphovascular invasion are significant predictors of SLN metastasis. Conclusion iFS results in a very low prevention rate for follow-up ALND in patients with preoperative clinically negative axillary nodes and is associated with a non-negligible discordance rate with permanent sections. Our study suggests iFS may be avoided in most cases of early-stage clinically and radiographically node-negative breast cancer patients. Doing so may reduce surgical costs and total operative time without a significant impact on the overall quality of treatment and standard of care.
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Affiliation(s)
| | | | | | - Kasaya Tantiphlachiva
- Department of Surgery, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | | | - Sopark Manasnayakorn
- Department of Surgery, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Mawin Vongsaisuwon
- Department of Surgery, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Correspondence: Mawin Vongsaisuwon, Department of Surgery, Faculty of Medicine, Chulalongkorn University, 1873 King Chulalongkorn Memorial Hospital, Rama IV Road, Pathum Wan, Bangkok, 10330, Thailand, Tel +66 897158888, Email
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Di Paola V, Mazzotta G, Pignatelli V, Bufi E, D’Angelo A, Conti M, Panico C, Fiorentino V, Pierconti F, Kilburn-Toppin F, Belli P, Manfredi R. Beyond N Staging in Breast Cancer: Importance of MRI and Ultrasound-based Imaging. Cancers (Basel) 2022; 14:cancers14174270. [PMID: 36077805 PMCID: PMC9454572 DOI: 10.3390/cancers14174270] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 08/27/2022] [Accepted: 08/30/2022] [Indexed: 12/29/2022] Open
Abstract
The correct N-staging in breast cancer is crucial to tailor treatment and stratify the prognosis. N-staging is based on the number and the localization of suspicious regional nodes on physical examination and/or imaging. Since clinical examination of the axillary cavity is associated with a high false negative rate, imaging modalities play a central role. In the presence of a T1 or T2 tumor and 0–2 suspicious nodes, on imaging at the axillary level I or II, a patient should undergo sentinel lymph node biopsy (SLNB), whereas in the presence of three or more suspicious nodes at the axillary level I or II confirmed by biopsy, they should undergo axillary lymph node dissection (ALND) or neoadjuvant chemotherapy according to a multidisciplinary approach, as well as in the case of internal mammary, supraclavicular, or level III axillary involved lymph nodes. In this scenario, radiological assessment of lymph nodes at the time of diagnosis must be accurate. False positives may preclude a sentinel lymph node in an otherwise eligible woman; in contrast, false negatives may lead to an unnecessary SLNB and the need for a second surgical procedure. In this review, we aim to describe the anatomy of the axilla and breast regional lymph node, and their diagnostic features to discriminate between normal and pathological nodes at Ultrasound (US) and Magnetic Resonance Imaging (MRI). Moreover, the technical aspects, the advantage and limitations of MRI versus US, and the possible future perspectives are also analyzed, through the analysis of the recent literature.
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Affiliation(s)
- Valerio Di Paola
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
- Correspondence: or
| | - Giorgio Mazzotta
- Institute of Radiology, Catholic University of the Sacred Heart, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Vincenza Pignatelli
- Institute of Radiology, Catholic University of the Sacred Heart, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Enida Bufi
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Anna D’Angelo
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Marco Conti
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Camilla Panico
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Vincenzo Fiorentino
- Institute of Pathology, Università Cattolica del S. Cuore, Fondazione Policlinico “A. Gemelli”, 00168 Rome, Italy
| | - Francesco Pierconti
- Institute of Pathology, Università Cattolica del S. Cuore, Fondazione Policlinico “A. Gemelli”, 00168 Rome, Italy
| | - Fleur Kilburn-Toppin
- Cambridge Breast Unit, Cambridge University Hospital NHS Foundation Trust, Addenbrookes’ Hospital, Hills Road, Cambridge CB2 0QQ, UK
| | - Paolo Belli
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
- Institute of Radiology, Catholic University of the Sacred Heart, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Riccardo Manfredi
- Department of Bioimaging, Radiation Oncology and Hematology, UOC of Radiologia, Fondazione Policlinico Universitario A. Gemelli IRCSS, Largo A. Gemelli 8, 00168 Rome, Italy
- Institute of Radiology, Catholic University of the Sacred Heart, Largo A. Gemelli 8, 00168 Rome, Italy
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Gao X, Luo W, He L, Yang L. Nomogram models for stratified prediction of axillary lymph node metastasis in breast cancer patients (cN0). Front Endocrinol (Lausanne) 2022; 13:967062. [PMID: 36111297 PMCID: PMC9468373 DOI: 10.3389/fendo.2022.967062] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 08/04/2022] [Indexed: 11/24/2022] Open
Abstract
Objectives To determine the predictors of axillary lymph node metastasis (ALNM), two nomogram models were constructed to accurately predict the status of axillary lymph nodes (ALNs), mainly high nodal tumour burden (HNTB, > 2 positive lymph nodes), low nodal tumour burden (LNTB, 1-2 positive lymph nodes) and negative ALNM (N0). Accordingly, more appropriate treatment strategies for breast cancer patients without clinical ALNM (cN0) could be selected. Methods From 2010 to 2015, a total of 6314 patients with invasive breast cancer (cN0) were diagnosed in the Surveillance, Epidemiology, and End Results (SEER) database and randomly assigned to the training and internal validation groups at a ratio of 3:1. As the external validation group, data from 503 breast cancer patients (cN0) who underwent axillary lymph node dissection (ALND) at the Second Affiliated Hospital of Chongqing Medical University between January 2011 and December 2020 were collected. The predictive factors determined by univariate and multivariate logistic regression analyses were used to construct the nomograms. Receiver operating characteristic (ROC) curves and calibration plots were used to assess the prediction models' discrimination and calibration. Results Univariate analysis and multivariate logistic regression analyses showed that tumour size, primary site, molecular subtype and grade were independent predictors of both ALNM and HNTB. Moreover, histologic type and age were independent predictors of ALNM and HNTB, respectively. Integrating these independent predictors, two nomograms were successfully developed to accurately predict the status of ALN. For nomogram 1 (prediction of ALNM), the areas under the receiver operating characteristic (ROC) curve in the training, internal validation and external validation groups were 0.715, 0.688 and 0.876, respectively. For nomogram 2 (prediction of HNTB), the areas under the ROC curve in the training, internal validation and external validation groups were 0.842, 0.823 and 0.862. The above results showed a satisfactory performance. Conclusion We established two nomogram models to predict the status of ALNs (N0, 1-2 positive ALNs or >2 positive ALNs) for breast cancer patients (cN0). They were well verified in further internal and external groups. The nomograms can help doctors make more accurate treatment plans, and avoid unnecessary surgical trauma.
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Affiliation(s)
- Xin Gao
- Department of Breast and Thyroid Surgery, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wenpei Luo
- Department of Breast and Thyroid Surgery, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lingyun He
- Scientific Research and Education Section, Chongqing Health Center for Women and Children, Chongqing, China
| | - Lu Yang
- Department of Breast and Thyroid Surgery, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
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A New Model for Predicting Nonsentinel Lymph Node Metastasis in Early-Stage Breast Cancer Using MMP15. JOURNAL OF ONCOLOGY 2022; 2022:8675705. [PMID: 36035312 PMCID: PMC9410952 DOI: 10.1155/2022/8675705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 06/28/2022] [Accepted: 07/06/2022] [Indexed: 11/18/2022]
Abstract
Background. In early-stage breast cancer (BC) patients, 40–70% of lymph node metastases are limited to the sentinel lymph nodes (SLNs). Patients at low risk for nonsentinel lymph node (NSLN) metastasis should be exempt from axillary lymph node dissection (ALND) or regional lymph node radiotherapy (RNI). Methods. The present study included 237 female early-stage BC patients with positive SLNs who received ALND. Based on the clinicopathological factors of the 158 patients in the training cohort, multivariate analysis was used to determine the independent risk factors for NSLN metastasis, which were used to establish the NSLN metastasis prediction model. The calibration and discrimination of this model were tested with the training and validation cohorts and compared to the Memorial Sloan Kettering Cancer Center (MSKCC) model. Results. Tumor size, neural invasion, lymphovascular invasion, expression of matrix metalloproteinase 15 (MMP15) in the cytoplasm, and the number of positive SLNs were statistically significant by multivariate analysis (
), which were used to establish the new model. The MSKCC model was verified by the training cohort, and the area under the receiver-operating characteristic (ROC) curve was 0.733 (95% CI: 0.650–0.816), which was less than that of the new model (0.824; 95% CI: 0.760–0.889). The area under the ROC curve in the validation cohort for the new model was 0.773 (95% CI: 0.669–0.877), and the calibration performed well. The false-negative rates were 3.2%, 6.5%, and 14.5% for the predicted probability cut-offs of 50%, 60%, and 70%, respectively. Conclusions. The new model included five variables: tumor size, neural invasion, lymphovascular invasion, cytoplasmic MMP15 expression, and the number of positive SLNs. The model with a cut-off of 60% could accurately identify low-risk patients with NSLN metastasis.
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Radiomic Signature Based on Dynamic Contrast-Enhanced MRI for Evaluation of Axillary Lymph Node Metastasis in Breast Cancer. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:1507125. [PMID: 36035302 PMCID: PMC9402328 DOI: 10.1155/2022/1507125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 07/17/2022] [Accepted: 07/21/2022] [Indexed: 11/17/2022]
Abstract
Background. To construct and validate a radiomic-based model for estimating axillary lymph node (ALN) metastasis in patients with breast cancer by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Methods. In this retrospective study, a radiomic-based model was established in a training cohort of 236 patients with breast cancer. Radiomic features were extracted from breast DCE-MRI scans. A method named the least absolute shrinkage and selection operator (LASSO) was applied to select radiomic features based on highly reproducible features. A radiomic signature was built by a support vector machine (SVM). Multivariate logistic regression analysis was adopted to establish a clinical characteristic-based model. The performance of models was analysed through discrimination ability and clinical benefits. Results. The radiomic signature comprised 6 features related to ALN metastasis and showed significant differences between the patients with ALN metastasis and without ALN metastasis (
). The area under the curve (AUC) of the radiomic model was 0.990 and 0.858, respectively, in the training and validation sets. The clinical feature-based model, including MRI-reported status and palpability, performed slightly worse, with an AUC of 0.784 in the training cohort and 0.789 in the validation cohort. The radiomic signature was confirmed to provide more clinical benefits by decision curve analysis. Conclusions. The radiomic-based model developed in this study can successfully diagnose the status of lymph nodes in patients with breast cancer, which may reduce unnecessary invasive clinical operations.
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Liu Y, Fan Y, Jin Z, Cui M, Yu X, Jin F, Wang X. Axillary management for early invasive breast cancer patients: Who will truly benefit? Front Oncol 2022; 12:989975. [PMID: 36046051 PMCID: PMC9421357 DOI: 10.3389/fonc.2022.989975] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 07/19/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundThe implementation of sentinel lymph node biopsy (SLNB) and further completion axillary lymph node dissection (cALND) after positive sentinel lymph nodes (SLNs) on early invasive breast cancer patients should be cautiously tailored. Identifying predictors for SLN and non-sentinel lymph node (nSLN) metastases can help surgeons make better surgical decisions.MethodsA retrospective case-control study was designed and a total of 560 eligible patients were enrolled consecutively. They were all diagnosed in our center and received appropriate medical care. According to the metastasis of SLN and nSLN, they were divided into metastatic and non-metastatic groups on two successive occasions to investigate the relationship between clinical factors, pathological factors, hematological factors and lymph node metastasis.ResultsIn total, 101 (18.04%) patients developed SLN metastases, including 98 patients with macro-metastases and 3 patients with micro-metastases. Out of 97 patients receiving further cALND, 20 patients (20.62%) developed nSLN metastases. Multivariate analysis revealed that “high expression of Ki-67” and “lymphatic invasion” predicted a higher risk of SLN metastasis; and “increased number of positive SLNs” and “increased systemic inflammation index (SII)” predicted a higher risk of nSLN metastasis.ConclusionSurgery for early invasive breast cancer patients should be more customized and precise. Appropriate axillary management is necessary for patients with the associated predictors.
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Affiliation(s)
- Yanbiao Liu
- Department of Breast Surgery, The 1st Affiliated Hospital, China Medical University, Shenyang, China
| | - Yan Fan
- Department of Pediatrics, The First Hospital of China Medical University, Shenyang, China
- Department of Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang, China
- Research Unit of General Surgery, Department of Breast Surgery and Surgical Oncology, The First Hospital of China Medical University, Shenyang, China
| | - Zining Jin
- Department of Breast Surgery, The 1st Affiliated Hospital, China Medical University, Shenyang, China
| | - Mengyao Cui
- Department of Breast Surgery, The 1st Affiliated Hospital, China Medical University, Shenyang, China
| | - Xinmiao Yu
- Department of Breast Surgery, The 1st Affiliated Hospital, China Medical University, Shenyang, China
| | - Feng Jin
- Department of Breast Surgery, The 1st Affiliated Hospital, China Medical University, Shenyang, China
| | - Xu Wang
- Department of Breast Surgery, The 1st Affiliated Hospital, China Medical University, Shenyang, China
- *Correspondence: Xu Wang,
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Cheng MH, Ho OA, Tsai TJ, Lin YL, Kuo CF. Breast cancer-related lymphedema correlated with incidence of cellulitis and mortality. J Surg Oncol 2022; 126:1162-1168. [PMID: 35960614 DOI: 10.1002/jso.27054] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 07/25/2022] [Accepted: 07/30/2022] [Indexed: 11/12/2022]
Abstract
BACKGROUND This study investigated breast cancer-related lymphedema (BCRL) and its correlation with the incidence of cellulitis and mortality in the National Health Insurance (NHI) database in Taiwan. METHODS Between 2004 and 2014, the NHI database of patients with breast cancer who underwent surgical procedures, adjuvant therapies, BCRL, cellulitis, and mortality were retrospectively reviewed. Cox regression was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for incidence of BCRL and cellulitis in different treatment groups. The associations of BCRL with the incidence of cellulitis and mortality were further analyzed using the Kaplan-Meier curve. RESULTS Among 100 301 patients, 5464 (5.4%) developed BCRL with a median onset of 1.3 years. At a mean follow-up of 4.77 years, the incidence of cellulitis in the BCRL group (12.7%, 694/5464 patients) was significantly higher than in the no-BCRL group (2.73%, 2589/94 837 patients) (HR: 3.74; 95% CI: 3.43-4.08; p < 0.0001). At a mean follow-up of 5.77 years, the mortality rate in the cellulitis group (34.21%, 1123/3283 patients) was significantly greater than in the no-cellulitis group (16.29%, 15 804/97 018 patients) (HR: 1.17; 95% CI: 1.1-1.24; p < 0.0001). CONCLUSIONS BCRL had a significantly higher incidence of cellulitis and mortality.
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Affiliation(s)
- Ming-Huei Cheng
- Division of Reconstructive Microsurgery, Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Section of Plastic Surgery, The University of Michigan, Ann Arbor, Michigan, USA.,Center of Lymphedema Microsurgery, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Olivia A Ho
- Division of Plastic and Reconstructive Surgery, Mayo Clinic, Jacksonville, Florida, USA
| | - Tai-Jung Tsai
- Division of Reconstructive Microsurgery, Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yi-Ling Lin
- Division of Reconstructive Microsurgery, Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chang-Fu Kuo
- Division of Rheumatology, Allergy, and Immunology, Chang Gung Memorial Hospital, Taoyuan, Taiwan.,Center for Artificial Intelligence Research in Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan
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Perivascular infiltration reflects subclinical lymph node metastasis in invasive lobular carcinoma. Virchows Arch 2022; 481:533-543. [PMID: 35947202 DOI: 10.1007/s00428-022-03391-8] [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: 04/12/2022] [Revised: 07/15/2022] [Accepted: 07/26/2022] [Indexed: 10/15/2022]
Abstract
Invasive lobular carcinoma (ILC) is characterized by discohesive cells due to irreversible loss of E-cadherin expression and multiple satellites, where individual cell migration is evident without disturbance of the stroma. Neoplastic cells sometimes infiltrate the surrounding vessel in satellites. Here, we aimed to clarify the specific role of perivascular infiltration (PVI) and ameboid migration, characterized by nondisturbance of the background stromal structure, in ILCs. A total of 139 cases with ILC and 122 cases with invasive breast carcinoma of no special type (IBC-NST) were evaluated retrospectively. PVI was significantly more common in ILC than in IBC-NST (50% [70 of 139 cases] vs. 9% [11 of 122 cases], p < 0.001). ILC cases with PVI showed a larger pathological tumour size than clinical tumour size (p < 0.01), a higher frequency of pathological node status pN2-pN3 when limited to clinically node-negative cases (p < 0.01) and lower circularity of tumour morphology on imaging (p < 0.01) than ILC cases without PVI. In the pathological evaluation, the intensity and occupancy of tumour cells expressing phospho-myosin light chain 2, which is a hallmark of ameboid migration, were significantly higher in ILC cases with PVI than in those without PVI at the tumour margins (p < 0.05). ILC with PVI is associated with irregular, poorly defined tumour margins and lymph node metastasis without adenopathy, which is difficult to assess using imaging. PVI may be caused by ameboid migration, as shown by the positive expression of phospho-myosin light chain 2. The presence of PVI may be a predictor for clinically node-negative pN2-pN3 in ILC patients.
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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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214
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Chen H, Li W, Wan C, Zhang J. Correlation of dynamic contrast-enhanced MRI and diffusion-weighted MR imaging with prognostic factors and subtypes of breast cancers. Front Oncol 2022; 12:942943. [PMID: 35992872 PMCID: PMC9389013 DOI: 10.3389/fonc.2022.942943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 07/12/2022] [Indexed: 12/02/2022] Open
Abstract
Objective To determine the preoperative magnetic resonance imaging (MRI) findings of breast cancer on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted magnetic resonance imaging (DWI) in different molecular subtypes. Materials and methods A retrospective study was conducted on 116 breast cancer subjects who underwent preoperative MRI and surgery or biopsy. Three radiologists retrospectively assessed the morphological and kinetic characteristics on DCE-MRI and tumor detectability on DWI, by using apparent diffusion coefficient (ADC) values of lesions. The clinicopathologic and MRI features of four subtypes were compared. The correlation between clinical and MRI findings with molecular subtypes was evaluated using the chi-square and ANOVA tests, while the Mann–Whitney test was used to analyze the relationship between ADC and prognostic factors. Results One hundred and sixteen women diagnosed with breast cancer confirmed by surgery or biopsy had the following subtypes of breast cancer: luminal A (27, 23.3%), luminal B (56, 48.2%), HER2 positive (14, 12.1%), and triple-negative breast cancer (TNBC) (19, 16.4%), respectively. Among the subtypes, significant differences were found in axillary node metastasis, histological grade, tumor shape, rim enhancement, margin, lesion type, intratumoral T2 signal intensity, Ki-67 index, and paratumoral enhancement (p < 0.001, p < 0.001, p < 0.001, p < 0.001, p < 0.001, p < 0.001, p < 0.001, p < 0.001, and p = 0.02, respectively). On DWI, the mean ADC value of TNBC (0.910 × 10−3 mm2/s) was the lowest compared to luminal A (1.477×10−3 mm2/s), luminal B (0.955 × 10−3 mm2/s), and HER2 positive (0.996 × 10−3 mm2/s) (p < 0.001). Analysis of the correlation between different prognostic factors and ADC value showed that only axillary lymph node status and ADC value had a statistically significant difference (p = 0.009). Conclusion The morphologic features of MRI can be used as imaging biomarkers to identify the molecular subtypes of breast cancer. In addition, quantitative assessments of ADC values on DWI may also provide biological clues about molecular subtypes.
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Affiliation(s)
- Hui Chen
- Department of Oncology, Tianmen First People’s Hospital, Tianmen, China
| | - Wei Li
- Department of Oncology, Tianmen First People’s Hospital, Tianmen, China
| | - Chao Wan
- Department of Oncology, Tianmen First People’s Hospital, Tianmen, China
| | - Jue Zhang
- Department of CT/MRI, Tianmen First People's Hospital, Tianmen, China
- *Correspondence: Jue Zhang,
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Recent Advances and Concepts in SLNB (Sentinel Lymph Node Biopsy) and Management of SLNB Positive Axilla in Carcinoma Breast. Indian J Surg 2022. [DOI: 10.1007/s12262-021-03100-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/09/2022] Open
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216
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Qu L, Chen Q, Luo N, Zhao P, Zou Q, Mei X, Liu Z, Yi W. 3D reconstruction based novel methods are more effective than traditional clinical assessment in breast cancer axillary lymph node metastasis prediction. Sci Rep 2022; 12:12425. [PMID: 35858979 PMCID: PMC9300607 DOI: 10.1038/s41598-022-16380-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 07/08/2022] [Indexed: 11/09/2022] Open
Abstract
The status of axillary lymph node metastases determines the treatment and overall survival of breast cancer (BC) patients. Three-dimensional (3D) assessment methods have advantages for spatial localization and are more responsive to morphological changes in lymph nodes than two-dimensional (2D) assessment methods, and we speculate that methods developed using 3D reconstruction systems have high diagnostic efficacy. This exploratory study included 43 patients with histologically confirmed BC diagnosed at Second Xiangya Hospital of Central South University between July 2017 and August 2020, all of whom underwent preoperative CT scans. Patients were divided into a training cohort to train the model and a validation cohort to validate the model. A 3D axillary lymph node atlas was constructed on a 3D reconstruction system to create various methods of assessing lymph node metastases for a comparison of diagnostic efficacy. Receiver operating characteristic (ROC) curve analysis was performed to assess the diagnostic values of these methods. A total of 43 patients (mean [SD] age, 47 [10] years) met the eligibility criteria and completed 3D reconstruction. An axillary lymph node atlas was established, and a correlation between lymph node sphericity and lymph node metastasis was revealed. By continuously fitting the size and characteristics of axillary lymph nodes on the 3D reconstruction system, formulas and models were established to determine the presence or absence of lymph node metastasis, and the 3D method had better sensitivity for axillary lymph node assessment than the 2D method, with a statistically significant difference in the correct classification rate. The combined diagnostic method was superior to a single diagnostic method, with a 92.3% correct classification rate for the 3D method combined with ultrasound. In addition, in patients who received neoadjuvant chemotherapy (NAC), the correct classification rate of the 3D method (72.7%) was significantly higher than that of ultrasound (45.5%) and CT (54.5%). By establishing an axillary lymph node atlas, the sphericity formula and model developed with the 3D reconstruction system achieve a high correct classification rate when combined with ultrasound or CT and can also be applied to patients receiving NAC.
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Affiliation(s)
- Limeng Qu
- Department of General Surgery, The Second Xiangya Hospital Of Central South University, No. 139, Renmin Central Road, Changsha, 410011, People's Republic of China
| | - Qitong Chen
- Department of General Surgery, The Second Xiangya Hospital Of Central South University, No. 139, Renmin Central Road, Changsha, 410011, People's Republic of China
| | - Na Luo
- Department of General Surgery, The Second Xiangya Hospital Of Central South University, No. 139, Renmin Central Road, Changsha, 410011, People's Republic of China.,Department of General Surgery, The First People's Hospital of Changde City, Changde, China
| | - Piao Zhao
- Department of Orthopaedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qiongyan Zou
- Department of General Surgery, The Second Xiangya Hospital Of Central South University, No. 139, Renmin Central Road, Changsha, 410011, People's Republic of China
| | - Xilong Mei
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Ziru Liu
- Department of General Surgery, The Second Xiangya Hospital Of Central South University, No. 139, Renmin Central Road, Changsha, 410011, People's Republic of China.
| | - Wenjun Yi
- Department of General Surgery, The Second Xiangya Hospital Of Central South University, No. 139, Renmin Central Road, Changsha, 410011, People's Republic of China.
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The Protective Effects of Influenza Vaccination in Elderly Patients with Breast Cancer in Taiwan: A Real-World Evidence-Based Study. Vaccines (Basel) 2022; 10:vaccines10071144. [PMID: 35891308 PMCID: PMC9320514 DOI: 10.3390/vaccines10071144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 07/16/2022] [Accepted: 07/17/2022] [Indexed: 02/04/2023] Open
Abstract
In elderly patients with newly diagnosed breast cancer, clarity is lacking regarding the effects of influenza vaccines, particularly on clinical outcomes. This study conducted two nationwide, population-based, and propensity score-matched cohorts to estimate and compare the protective effects of influenza vaccine in elderly women and elderly patients with breast cancer. Data were derived from the National Health Insurance Research Database and Cancer Registry Database. Generalized estimating equations (GEEs) were used to compare outcomes between the vaccinated and unvaccinated cohorts. Adjusted odds ratios (aORs) were used to estimate the relative risks, and stratified analyses in the breast cancer cohort were performed to further evaluate elderly breast cancer patients undergoing a variety of adjuvant therapies. The GEE analysis showed that the aORs of death and hospitalization, including for influenza and pneumonia, respiratory diseases, respiratory failure, and heart disease, did not significantly decrease in vaccinated elderly patients with newly diagnosed breast cancer. Conversely, the aORs of all influenza-related clinical outcomes were significantly decreased in elderly women. No protective effects of influenza vaccination were found in the elderly patients with a newly diagnosed breast cancer. More studies focusing on identifying strategies to improve the real-world effectiveness of influenza vaccination to the immunocompromised are needed. Our clinical outcomes will be valuable for future public health policy establishment and shared decision making for influenza vaccine use in elderly patients with newly diagnosed breast cancer. According to our findings, regular influenza vaccine administration for elderly patients with newly diagnosed breast cancer may be reconsidered, with potential contraindications for vaccination. On the other hand, implementing the vaccination of close contacts of patients with breast cancer may be a more important strategy for enhancing protection of those fragile patients.
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218
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A nomogram for predicting three or more axillary lymph node involvement before breast cancer surgery. Sci Rep 2022; 12:12141. [PMID: 35840785 PMCID: PMC9287421 DOI: 10.1038/s41598-022-16538-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 05/18/2022] [Indexed: 11/08/2022] Open
Abstract
Based on the American College of Surgeons Oncology Group (ACOSOG)-Z0011, a useful nomogram has been constructed to identify patients who do not require intraoperative frozen sections to evaluate sentinel lymph nodes in the previous study. This study investigated the developed nomogram by ultrasonography (US) and positron emission tomography (PET)/computed tomography (CT) as a modality. In the training set, 89/1030 (8.6%) patients had three or more positive nodes. Larger tumor size, higher grade ultrasonographic ALN classification, and findings suspicious of positive ALN on PET/CT were associated in multivariate analysis. The areas under the receiver operating characteristic curve (AUC) of the nomogram were 0.856 [95% CI 0.815-0.897] in the training set. The AUC in the validation set was 0.866 [95% CI 0.799-0.934]. Application of the nomogram to 1067 patients who met the inclusion criteria of ACOSOG-Z0011 showed that 90 (8.4%) patients had scores above the cut-off and a false-negative result was 37 (3.8%) patients. And the specificity was 93.8%, and the negative predictive value was 96.4%. The upgraded nomogram improved the predictive accuracy, using only US and PET/CT. This nomogram is useful for identifying patients who do not require intraoperative analysis of sentinel lymph nodes and considering candidates for identifying neoadjuvant chemotherapy. The patients consisted of clinical T1-2 and node-negative invasive breast cancer. The training and validation set consisted of 1030 and 781 patients, respectively. A nomogram was constructed by analyzing factors related to three or more axillary lymph node metastases. The patients who matched the ACOSOG-Z0011 criteria were selected and applied to the new nomogram.
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219
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Wang CW, Lee YC, Khalil MA, Lin KY, Yu CP, Lien HC. Fast cross-staining alignment of gigapixel whole slide images with application to prostate cancer and breast cancer analysis. Sci Rep 2022; 12:11623. [PMID: 35803996 PMCID: PMC9270377 DOI: 10.1038/s41598-022-15962-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 07/01/2022] [Indexed: 12/24/2022] Open
Abstract
Joint analysis of multiple protein expressions and tissue morphology patterns is important for disease diagnosis, treatment planning, and drug development, requiring cross-staining alignment of multiple immunohistochemical and histopathological slides. However, cross-staining alignment of enormous gigapixel whole slide images (WSIs) at single cell precision is difficult. Apart from gigantic data dimensions of WSIs, there are large variations on the cell appearance and tissue morphology across different staining together with morphological deformations caused by slide preparation. The goal of this study is to build an image registration framework for cross-staining alignment of gigapixel WSIs of histopathological and immunohistochemical microscopic slides and assess its clinical applicability. To the authors' best knowledge, this is the first study to perform real time fully automatic cross staining alignment of WSIs with 40× and 20× objective magnification. The proposed WSI registration framework consists of a rapid global image registration module, a real time interactive field of view (FOV) localization model and a real time propagated multi-level image registration module. In this study, the proposed method is evaluated on two kinds of cancer datasets from two hospitals using different digital scanners, including a dual staining breast cancer data set with 43 hematoxylin and eosin (H&E) WSIs and 43 immunohistochemical (IHC) CK(AE1/AE3) WSIs, and a triple staining prostate cancer data set containing 30 H&E WSIs, 30 IHC CK18 WSIs, and 30 IHC HMCK WSIs. In evaluation, the registration performance is measured by not only registration accuracy but also computational time. The results show that the proposed method achieves high accuracy of 0.833 ± 0.0674 for the triple-staining prostate cancer data set and 0.931 ± 0.0455 for the dual-staining breast cancer data set, respectively, and takes only 4.34 s per WSI registration on average. In addition, for 30.23% data, the proposed method takes less than 1 s for WSI registration. In comparison with the benchmark methods, the proposed method demonstrates superior performance in registration accuracy and computational time, which has great potentials for assisting medical doctors to identify cancerous tissues and determine the cancer stage in clinical practice.
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Affiliation(s)
- Ching-Wei Wang
- Graduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei, Taiwan. .,Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
| | - Yu-Ching Lee
- Graduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei, Taiwan
| | - Muhammad-Adil Khalil
- Graduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei, Taiwan
| | - Kuan-Yu Lin
- Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
| | - Cheng-Ping Yu
- Department of Pathology, Tri-Service General Hospital, Taipei, Taiwan.,Institute of Pathology and Parasitology, National Defense Medical Center, Taipei, Taiwan
| | - Huang-Chun Lien
- Department of Pathology, National Taiwan University Hospital, Taipei, Taiwan.,Graduate Institute of Pathology, National Taiwan University, Taipei, Taiwan
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Oncological safety of reconstruction with autologous fat grafting in breast cancer patients: a systematic review and meta-analysis. Int J Clin Oncol 2022; 27:1379-1385. [PMID: 35790652 DOI: 10.1007/s10147-022-02207-8] [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: 03/18/2022] [Accepted: 06/11/2022] [Indexed: 11/05/2022]
Abstract
To evaluate the oncological safety of autologous fat grafting and its effect on disease-free survival and local recurrence in breast cancer patients with autologous fat grafting (AFG) reconstruction. A literature search was performed using the Pubmed, Medline, Web of Science, and Cochrane libraries from January 2011 to March 2020, in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, to identify all relevant studies involving the application of autologous fat grafting in breast cancer reconstruction procedures. The primary outcome of the meta-analysis was a difference in incidence rates of locoregional recurrence and disease-free survival (DFS) between patients who had autologous fat grafting and controls. A total of 11 studies were included. Eight studies reported local-regional recurrences (LRR) and five studies reported disease-free survival (DFS) in 5,886 patients. Our meta-analysis of all included studies about survival outcomes showed AFG was not associated with increased LRR and DFS. Pooled hazard ratios (HRs) (95% CIs) for LRR and DFS were 1.26 (0.90-1.76) and 1.27 (0.96-1.69), respectively. According to the published literature, autologous fat grafting did not result in an increased rate of LRR and DFS in patients with breast cancer. Autologous fat grafting can, therefore, be performed safely in breast reconstruction after breast cancer.
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Ursini LA, Nuzzo M, Rosa C, Borgia M, Caravatta L, Di Tommaso M, Trignani M, Di Guglielmo FC, Ausili Cefaro G, Angelucci D, Muzi M, Martino G, Cianchetti E, Grossi S, Tavoletta S, Brocco D, Grassadonia A, Tinari N, Gildetti S, D'Ostilio N, Stuppia L, Porreca A, Di Nicola M, Genovesi D. Whole breast radiotherapy in cN0 early breast cancer patients with pathological sentinel lymph nodes (pN1mic, pN1a) without axillary dissection: preliminary results of the observational LISEN trial. Strahlenther Onkol 2022; 198:612-621. [PMID: 35499695 PMCID: PMC9217844 DOI: 10.1007/s00066-022-01944-z] [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: 11/24/2021] [Accepted: 04/03/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE Axillary management remains unclear when sentinel lymph node (SLN) results are positive in cN0 patients with breast cancer (BC). The trial ACOSOG Z0011 represented a revolution with axillary lymph node dissection (ALND) omission in SLN+ patients, despite critiques regarding non-uniformity of radiation fields. We conducted an observational study (LISEN) where whole breast radiotherapy (WBRT) was planned with tangential fields without nodal irradiation in patients eligible for the Z0011 trial. METHODS Inclusion criteria were female patients with histologically proven BC, cT1-2cN0, planned conservative surgery, no neoadjuvant therapy. Patients were stratified into two groups: micrometastatic (pN1mic, group 1) and macrometastatic (pN1a, group 2) lymph nodes. Tangential field WBRT was mandatory. Clinical outcomes were analysed, measured from surgery until the first event. RESULTS In all, 199 patients underwent conservative surgery and SLN biopsy; 133 patients meeting criteria were analysed: 41 patients (30.8%) pN1mic and 92 (69.2%) pN1a. The 5‑year disease-free survival (DFS) was 95.0% (85.9-100%) in group 1 and 93.0% (86.3-100.0%) in group 2 (p = 0.78). Overall survival (OS) was 100% (100-100%) in group 1 and 97.4% (92.4-100%) in group 2 (p = 0.74). For the whole cohort DFS and OS were 93.6% (88.2-99.4%) and 96.9% (91.5-100.0%), respectively. For groups 1 and 2, the 5‑year outcomes were 5.0% (0.0-14.4%) and 2.3% (0.0-6.1%) for local recurrence (p = 0.51), and 6.2% (0.0-17.4%) and 7.0% (0.0-13.7%) for distant metastasis (p = 0.61), respectively. In group 1, regional recurrence (RR) and local regional recurrence (LRR) were 5.0% (0.0-14.1%; p = 0.13). In group 2, RR and LRR were 0.0% (0.0-0.0%). CONCLUSION Our results showed good regional control in patients who met the Z0011 trial criteria. WBRT, without nodal surgery or RT, avoiding axillary morbidity, seems to be a good choice.
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Affiliation(s)
- Lucia Anna Ursini
- Department of Radiation Oncology, SS. Annunziata Hospital, "G. D'Annunzio" University of Chieti, Via dei Vestini, 66100, Chieti, Italy
| | - Marianna Nuzzo
- Department of Radiation Oncology, SS. Annunziata Hospital, "G. D'Annunzio" University of Chieti, Via dei Vestini, 66100, Chieti, Italy
| | - Consuelo Rosa
- Department of Radiation Oncology, SS. Annunziata Hospital, "G. D'Annunzio" University of Chieti, Via dei Vestini, 66100, Chieti, Italy.
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti, Via dei Vestini, 66100, Chieti, Italy.
| | - Marzia Borgia
- Department of Radiation Oncology, SS. Annunziata Hospital, "G. D'Annunzio" University of Chieti, Via dei Vestini, 66100, Chieti, Italy
| | - Luciana Caravatta
- Department of Radiation Oncology, SS. Annunziata Hospital, "G. D'Annunzio" University of Chieti, Via dei Vestini, 66100, Chieti, Italy
| | - Monica Di Tommaso
- Department of Radiation Oncology, SS. Annunziata Hospital, "G. D'Annunzio" University of Chieti, Via dei Vestini, 66100, Chieti, Italy
| | - Marianna Trignani
- Department of Radiation Oncology, SS. Annunziata Hospital, "G. D'Annunzio" University of Chieti, Via dei Vestini, 66100, Chieti, Italy
| | - Fiorella Cristina Di Guglielmo
- Department of Radiation Oncology, SS. Annunziata Hospital, "G. D'Annunzio" University of Chieti, Via dei Vestini, 66100, Chieti, Italy
| | - Giampiero Ausili Cefaro
- Department of Radiation Oncology, SS. Annunziata Hospital, "G. D'Annunzio" University of Chieti, Via dei Vestini, 66100, Chieti, Italy
| | - Domenico Angelucci
- Department of Pathological Anatomy, ASL 02 Lanciano-Vasto-Chieti, Via dei Vestini, 66100, Chieti, Italy
| | - Marzia Muzi
- Division of Breast Radiology, Department of Radiology, G. Bernabeo Hospital, Contrada Santa Liberata, 66026, Ortona, Chieti, Italy
| | - Gianluigi Martino
- Department of Radiological Sciences, Institute of Nuclear Medicine, SS. Annunziata Hospital, Via dei Vestini, 66100, Chieti, Italy
| | - Ettore Cianchetti
- Division of Surgical Senology, G. Bernabeo Hospital, Contrada Santa Liberata, 66026, Ortona, Chieti, Italy
| | - Simona Grossi
- Division of Surgical Senology, G. Bernabeo Hospital, Contrada Santa Liberata, 66026, Ortona, Chieti, Italy
| | - Saveria Tavoletta
- Division of Surgical Senology, G. Bernabeo Hospital, Contrada Santa Liberata, 66026, Ortona, Chieti, Italy
| | - Davide Brocco
- Clinical Oncology Unit, SS. Annunziata Hospital, Via dei Vestini, 66100, Chieti, Italy
| | - Antonino Grassadonia
- Department of Medical, Oral and Biotechnological Sciences and CeSI-MeT, "G. D'Annunzio" University of Chieti, Via dei Vestini, 66100, Chieti, Italy
| | - Nicola Tinari
- Department of Medical, Oral and Biotechnological Sciences and CeSI-MeT, "G. D'Annunzio" University of Chieti, Via dei Vestini, 66100, Chieti, Italy
| | - Simona Gildetti
- Department of Oncology, Floraspe Renzetti Hospital, Via per Fossacesia 1, Lanciano, 66034, Chieti, Italy
| | - Nicola D'Ostilio
- Department of Oncology, Floraspe Renzetti Hospital, Via per Fossacesia 1, Lanciano, 66034, Chieti, Italy
| | - Liborio Stuppia
- Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University of Chieti, Via dei Vestini, 66100, Chieti, Italy
| | - Annamaria Porreca
- Department of Economics, "G. D'Annunzio" University of Chieti-Pescara, Pescara, Italy
| | - Marta Di Nicola
- Laboratory of Biostatistics, Department of Medical, Oral and Biotechnological Sciences, "G. D'Annunzio" University of Chieti, Via dei Vestini, 66100, Chieti, Italy
| | - Domenico Genovesi
- Department of Radiation Oncology, SS. Annunziata Hospital, "G. D'Annunzio" University of Chieti, Via dei Vestini, 66100, Chieti, Italy
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti, Via dei Vestini, 66100, Chieti, Italy
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Cubbison A, Wang LC, Friedewald S, Schacht D, Gupta D, Bhole S. A multidisciplinary approach to axillary lymph node staging with ultrasound in the setting of a highly suggestive or suspicious breast mass. Clin Imaging 2022; 87:56-60. [DOI: 10.1016/j.clinimag.2022.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 04/18/2022] [Accepted: 04/19/2022] [Indexed: 11/17/2022]
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224
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Elshanbary AA, Awad AA, Abdelsalam A, Ibrahim IH, Abdel-Aziz W, Darwish YB, Isa AS, Drid B, Mustafa MG, Allam RH, Abo Ali AA, Nourelden AZ, Ragab KM, AlGwaiz HIM, Awaji AA, Germoush MO, Albrakati A, Piscopo M, Ghaboura N, Zaazouee MS. The diagnostic accuracy of intraoperative frozen section biopsy for diagnosis of sentinel lymph node metastasis in breast cancer patients: a meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:47931-47941. [PMID: 35543788 PMCID: PMC9252966 DOI: 10.1007/s11356-022-20569-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 04/28/2022] [Indexed: 06/15/2023]
Abstract
Sentinel lymph node (SLN) sampling is important for evaluating the nodal stage of breast cancer when the axillary nodes are clinically free of metastasis. The intraoperative frozen section (IFS) of SLN is used for lymph node assessment. This meta-analysis aims to provide evidence about the diagnostic accuracy and the applicability of IFS of SLN in breast cancer patients. Data were collected by searching PubMed, Cochrane, Scopus, and Web of Science electronic databases for trials matching our eligibility criteria. The statistical analysis included the sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and pooled studies' diagnostic odds ratio outcomes. The analyses were conducted using the Open Meta-analyst software. This meta-analysis pooled the results of 110 studies. The overall sensitivity of IFS for SLN metastasis was 74.7%; 95% CI [72.0, 77.2], P < 0.001. It was 31.4% 95% CI [25.2, 38.3], P < 0.001 for the micro-metastasis, and 90.2%; 95% CI [86.5, 93.0], P < 0.001 for the macro-metastasis. The overall specificity was 99.4%; 95% CI [99.2, 99.6], P < 0.001. The overall positive likelihood ratio was 121.4; 95% CI [87.9, 167.6], P < 0.001, and the overall negative likelihood ratio was 0.226; 95% CI [0.186, 0.274], P < 0.001. The overall diagnostic odds ratio of IFS for diagnosing SLN metastasis was 569.5; 95% CI [404.2, 802.4], P < 0.001. The intraoperative frozen section of SLN has good sensitivity for diagnosing breast cancer macro-metastasis. However, the sensitivity is low for micro-metastasis. The specificity is very satisfactory.
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Affiliation(s)
- Alaa Ahmed Elshanbary
- Faculty of Medicine, Alexandria University, Alexandria, Egypt
- International Medical Research Association (IMedRA), Cairo, Egypt
| | - Alaa Abdelsameia Awad
- International Medical Research Association (IMedRA), Cairo, Egypt
- Faculty of Medicine, Zagazig University, Zagazig, Egypt
| | - Alaa Abdelsalam
- International Medical Research Association (IMedRA), Cairo, Egypt
- Faculty of Medicine, Zagazig University, Zagazig, Egypt
| | - Islam H Ibrahim
- International Medical Research Association (IMedRA), Cairo, Egypt
- Faculty of Medicine, Assiut University, Assiut, Egypt
| | - Walid Abdel-Aziz
- International Medical Research Association (IMedRA), Cairo, Egypt
- Faculty of Medicine, Al-Azhar University, Assiut, Egypt
| | - Youssef Bahaaeldin Darwish
- International Medical Research Association (IMedRA), Cairo, Egypt
- Faculty of Pharmacy, Mansoura University, Mansoura, Egypt
| | - Alaa Saad Isa
- International Medical Research Association (IMedRA), Cairo, Egypt
- Faculty of Medicine, Al-Azhar University, Damietta, Egypt
| | - Boutheyna Drid
- International Medical Research Association (IMedRA), Cairo, Egypt
- Faculty of Medicine, Batna 2 University, Batna, Algeria
| | - Marwa Gamal Mustafa
- International Medical Research Association (IMedRA), Cairo, Egypt
- Faculty of Pharmacy, Fayoum University, Fayoum, Egypt
| | - Radwa Hamdy Allam
- International Medical Research Association (IMedRA), Cairo, Egypt
- Faculty of Medicine, Fayoum University, Fayoum, Egypt
| | - Amira A Abo Ali
- Faculty of Medicine, Alexandria University, Alexandria, Egypt
- International Medical Research Association (IMedRA), Cairo, Egypt
| | - Anas Zakarya Nourelden
- International Medical Research Association (IMedRA), Cairo, Egypt
- Faculty of Medicine, Al-Azhar University, Cairo, Egypt
| | - Khaled Mohamed Ragab
- International Medical Research Association (IMedRA), Cairo, Egypt
- Faculty of Medicine, Minia University, Minia, Egypt
| | - Hussah I M AlGwaiz
- Department of Biology, College of Science, Princess Nourah Bint Abdulrahman University, Riyadh, 11474, Saudi Arabia
| | - Aeshah A Awaji
- Department of Biology, Faculty of Science, University College of Taymaa, University of Tabuk, Tabuk, 71491, Saudi Arabia
| | - Mousa O Germoush
- Biology Department, College of Science, Jouf University, P.O. Box: 2014, Sakaka, Saudi Arabia
| | - Ashraf Albrakati
- Department of Human Anatomy, College of Medicine, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia
| | - Marina Piscopo
- Department of Biology, University of Naples Federico II, Via Cinthia, 80126, Naples, Italy
| | - Nehmat Ghaboura
- Department of Pharmacy Practice, Batterjee Medical College, Pharmacy Program, P.O. Box 6231, Jeddah, 21442, Saudi Arabia
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Nakhlis F, Portnow L, Gombos E, Daylan AEC, Leone JP, Kantor O, Richardson ET, Ho A, Dunn SA, Ohri N. Multidisciplinary Considerations in the Management of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy. Curr Probl Surg 2022; 59:101191. [DOI: 10.1016/j.cpsurg.2022.101191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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226
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Harrison B. Update on sentinel node pathology in breast cancer. Semin Diagn Pathol 2022; 39:355-366. [PMID: 35803776 DOI: 10.1053/j.semdp.2022.06.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 06/14/2022] [Accepted: 06/27/2022] [Indexed: 11/11/2022]
Abstract
Pathologic examination of the sentinel lymph nodes (SLNs) in patients with breast cancer has been impacted by the publication of practicing changing trials over the last decade. With evidence from the ACOSOG Z0011 trial to suggest that there is no significant benefit to axillary lymph node dissection (ALND) in early-stage breast cancer patients with up to 2 positive SLNs, the rate of ALND, and in turn, intraoperative evaluation of SLNs has significantly decreased. It is of limited clinical significance to pursue multiple levels and cytokeratin immunohistochemistry to detect occult small metastases, such as isolated tumor cells and micrometastases, in this setting. Patients treated with neoadjuvant therapy, who represent a population with more extensive disease and aggressive tumor biology, were not included in Z0011 and similar trials, and thus, the evidence cannot be extrapolated to them. Recent trials have supported the safety and accuracy of sentinel lymph node biopsy (SLNB) in these patients when clinically node negative at the time of surgery. ALND remains the standard of care for any amount of residual disease in the SLNs and intraoperative evaluation of SLNs is still of value for real time surgical decision making. Given the potential prognostic significance of residual small metastases in treated lymph nodes, as well as the decreased false negative rate with the use of cytokeratin immunohistochemistry (IHC), it may be reasonable to maintain a low threshold for the use of cytokeratin IHC in post-neoadjuvant cases. Further recommendations for patients treated with neoadjuvant therapy await outcomes data from ongoing clinical trials. This review will provide an evidence-based discussion of best practices in SLN evaluation.
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Affiliation(s)
- Beth Harrison
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, United States.
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227
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Jiao D, Yang B, Chen J, Wang C, Jin L, Zhao W, Gao X, Wang H, Li J, Zhao H, Wu D, Fan Z, Wang S, Liu Z, Wang Y, Wu J. Efficacy and Safety of Mitoxantrone Hydrochloride Injection for Tracing Axillary Sentinel Nodes in Breast Cancer: A Self-Controlled Clinical Trial. Front Oncol 2022; 12:914057. [PMID: 35756664 PMCID: PMC9217178 DOI: 10.3389/fonc.2022.914057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 05/16/2022] [Indexed: 11/29/2022] Open
Abstract
Background Mitoxantrone hydrochloride injection for tracing (MHI), a new strategy to identify lymph nodes, has not been tested for axillary node staging in breast cancer. This multicenter, self-controlled, non-inferiority trial aimed to evaluate MHI’s efficacy and safety in sentinel lymph node biopsy (SLNB). Methods The trial was conducted across seven hospitals from December 2019 to December 2020. Patients with early-stage breast cancer received MHI and technetium-99m (99mTc) during the surgery. Sentinel node detection rates were compared between MHI and 99mTc to evaluate non-inferiority and concordance. Non-inferiority was valid if the lower limit of the 95% CI of sentinel node relative detection rate difference was ≥−5%. Results SLN relative detection rate of MHI was 97.31% (362/372). Of the SLNs, 79.69% (871/1093) were co-detected by both tracers. Of the patients, 4.13% (16/387) had adverse events and recovered during the follow-up. Conclusions MHI is a lymphatic tracer with comparable efficacy to radionuclides and can be used alone or in combination with radioactive substances for SLNB. Clinical Trial Registration http://www.chinadrugtrials.org.cn, CTR20192435.
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Affiliation(s)
- Dechuang Jiao
- Department of Breast Disease, Henan Breast Cancer Center, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Benlong Yang
- Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China.,Department of Collaborative Innovation Center for Cancer Medicine, Fudan University, Shanghai, China
| | - Jiajian Chen
- Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China.,Department of Collaborative Innovation Center for Cancer Medicine, Fudan University, Shanghai, China
| | - Chunjian Wang
- Department of Breast Surgery, Shandong Cancer Hospital Fudan University, Jinan, China
| | - Lidan Jin
- Department of Oncological Surgery, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wenhe Zhao
- Department of Oncological Surgery, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xueqiang Gao
- Department of Breast Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Haibo Wang
- Department of Breast Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Jun Li
- Department of Breast Surgery, Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Haidong Zhao
- Department of Breast Surgery, Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Di Wu
- Department of Breast Surgery, The First Bethune Hospital of Jilin University, Changchun, China
| | - Zhimin Fan
- Department of Breast Surgery, The First Bethune Hospital of Jilin University, Changchun, China
| | - Shujun Wang
- Department of Pharmaceutics, School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, China
| | - Zhenzhen Liu
- Department of Breast Disease, Henan Breast Cancer Center, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Yongsheng Wang
- Department of Breast Surgery, Shandong Cancer Hospital Fudan University, Jinan, China
| | - Jiong Wu
- Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College of Fudan University, Shanghai, China.,Department of Collaborative Innovation Center for Cancer Medicine, Fudan University, Shanghai, China
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228
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Cha C, Kim EY, Kim SY, Ryu JM, Park MH, Lee S, Suh YJ, Choi N, Hong H, Kim HS, Chung MS. Impact of the ACOSOG Z0011 trial on surgical practice in Asian patients: trends in axillary surgery for breast cancer from a Korean Breast Cancer Registry analysis. World J Surg Oncol 2022; 20:198. [PMID: 35698188 PMCID: PMC9195282 DOI: 10.1186/s12957-022-02673-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 06/03/2022] [Indexed: 11/10/2022] Open
Abstract
Background Since the publication of the Z0011 trial, practice-changing clinical guidelines for breast surgery have been developed. Although recent studies confirmed the feasibility of the Z0011 strategy in Asian populations, there has been no study on the trends of axillary surgery in Asian cohort. This study aimed to investigate the time trend of axillary surgery for breast cancer from a Korean Breast Cancer Registry to understand the impact of the Z0011 trial in Asian patients. Methods We collected prospectively constructed data from the nationwide Korean Breast Cancer Registry (KBCR). We identified patients who underwent sentinel node biopsy followed by breast-conserving surgery from 2011 to 2018 and were found to have pathological stage T1-2N1-3M0 disease. Regression analyses were performed to compare the downward trend of axillary lymph node dissection (ALND) in Korean cohort with that previously reported in a Dutch cohort. Results From KBCR data, 7478 patients met the inclusion criteria. The proportion of ALND significantly decreased from 2011 (76.6%) to 2018 (47.5%). Multivariate analysis revealed that earlier years at diagnosis, larger tumor size, and lymphatic invasion were associated with a higher odds ratio of performing ALND. Compared to the Dutch cohort, the downward trend of ALND in Korea was significantly more gradual (annual percent change: 37.2 vs. 5.8%, p < 0.001). Conclusions This study demonstrated a downward trend of ALND in Korean patients with breast cancer. However, the rate of decrease was significantly slower than that in the Dutch cohort.
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Affiliation(s)
- Chihwan Cha
- Department of Surgery, Hanyang University College of Medicine, 222, Wangsimni-ro, Seongdong-gu, 04764, Seoul, South Korea
| | - Eun Young Kim
- Department of Surgery, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Sung Yong Kim
- Department of Surgery, Soonchunhyang University Cheonan Hospital, Cheonan, Chungnam, South Korea
| | - Jai Min Ryu
- Department of Surgery, Samsung Comprehensive Cancer Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Min Ho Park
- Department of Surgery, Chonnam National University Medical School & Hospital, Gwangju, South Korea
| | - Seokwon Lee
- Department of Surgery, Biomedical Research Institute, Pusan National University Hospital, Busan, South Korea
| | - Young-Jin Suh
- Department of Surgery, The Catholic University of Korea St. Vincent's Hospital, Suwon, South Korea
| | - Nayeon Choi
- Biostatistical Consulting and Research Lab, Medical Research Collaborating Center, Hanyang University, Seoul, South Korea
| | - Hanpyo Hong
- Biostatistical Consulting and Research Lab, Medical Research Collaborating Center, Hanyang University, Seoul, South Korea
| | - Hyung Suk Kim
- Department of Surgery, Hanyang University Guri Hospital, Hanyang University College of Medicine, Gyeonggi-do, South Korea
| | - Min Sung Chung
- Department of Surgery, Hanyang University College of Medicine, 222, Wangsimni-ro, Seongdong-gu, 04764, Seoul, South Korea.
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229
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Mittendorf EA, King TA, Tolaney SM. Impact of RxPONDER and monarchE on the Surgical Management of the Axilla in Patients With Breast Cancer. J Clin Oncol 2022; 40:3361-3364. [PMID: 35675571 DOI: 10.1200/jco.22.00173] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Affiliation(s)
- Elizabeth A Mittendorf
- Division of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, MA.,Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
| | - Tari A King
- Division of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, MA.,Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
| | - Sara M Tolaney
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA.,Division of Cancer Medicine, Dana-Farber Cancer Institute, Boston, MA
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230
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Nelson JA, Rubenstein RN, Haglich K, Chu JJ, Yin S, Stern CS, Morrow M, Mehrara BJ, Gemignani ML, Matros E. Analysis of a Trend Reversal in US Lumpectomy Rates From 2005 Through 2017 Using 3 Nationwide Data Sets. JAMA Surg 2022; 157:702-711. [PMID: 35675047 DOI: 10.1001/jamasurg.2022.2065] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Importance Rates of lumpectomy for breast cancer management in the United States previously declined in favor of more aggressive surgical options, such as mastectomy and contralateral prophylactic mastectomy (CPM). Objective To evaluate longitudinal trends in the rates of lumpectomy and mastectomy, including unilateral mastectomy vs CPM rates, and to determine characteristics associated with current surgical practice using 3 national data sets. Design and Setting Data from the National Surgical Quality Improvement Program (NSQIP), Surveillance, Epidemiology, and End Results (SEER) program, and National Cancer Database (NCDB) were examined to evaluate trends in lumpectomy and mastectomy rates from 2005 through 2017. Mastectomy rates were also evaluated with a focus on CPM. Longitudinal trends were analyzed using the Cochran-Armitage test for trend. Multivariate logistic regression models were performed on the NCDB data set to identify predictors of lumpectomy and CPM. Results A study sample of 3 467 645 female surgical breast cancer patients was analyzed. Lumpectomy rates reached a nadir between 2010 and 2013, with a significant increase thereafter. Conversely, in comparison with lumpectomy rates, overall mastectomy rates declined significantly starting in 2013. Cochran-Armitage trend tests demonstrated an annual decrease in lumpectomy rates of 1.31% (95% CI, 1.30%-1.32%), 0.07% (95% CI, 0.01%-0.12%), and 0.15% (95% CI, 0.15%-0.16%) for NSQIP, SEER, and NCDB, respectively, from 2005 to 2013 (P < .001, P = .01, and P < .001, respectively). From 2013 to 2017, the annual increase in lumpectomy rates was 0.96% (95% CI, 0.95%-0.98%), 1.60% (95% CI, 1.59%-1.62%), and 1.66% (95% CI, 1.65%-1.67%) for NSQIP, SEER, and NCDB, respectively (all P < .001). Comparisons of specific mastectomy types showed that unilateral mastectomy and CPM rates stabilized after 2013, with unilateral mastectomy rates remaining higher than CPM rates throughout the entire time period. Conclusions This observational longitudinal analysis indicated a trend reversal with an increase in lumpectomy rates since 2013 and an associated decline in mastectomies. The steady increase in CPM rates from 2005 to 2013 has since stabilized. The reasons for the recent reversal in trends are likely multifactorial. Further qualitative and quantitative research is required to understand the factors driving these recent practice changes and their associations with patient-reported outcomes.
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Affiliation(s)
- Jonas A Nelson
- Plastic and Reconstructive Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Robyn N Rubenstein
- Plastic and Reconstructive Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Kathryn Haglich
- Plastic and Reconstructive Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jacqueline J Chu
- Plastic and Reconstructive Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Shen Yin
- Plastic and Reconstructive Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Carrie S Stern
- Plastic and Reconstructive Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Monica Morrow
- Breast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Babak J Mehrara
- Plastic and Reconstructive Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mary L Gemignani
- Breast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Evan Matros
- Plastic and Reconstructive Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
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231
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Menning JDM, Wallmersperger T, Meinhardt M, Ehrenhofer A. Modeling and simulation of diffusion and reaction processes during the staining of tissue sections on slides. Histochem Cell Biol 2022; 158:137-148. [PMID: 35666313 PMCID: PMC9338144 DOI: 10.1007/s00418-022-02118-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/11/2022] [Indexed: 11/25/2022]
Abstract
Histological slides are an important tool in the diagnosis of tumors as well as of other diseases that affect cell shapes and distributions. Until now, the research concerning an optimal staining time has been mainly done empirically. In experimental investigations, it is often not possible to stain an already-stained slide with another stain to receive further information. To overcome these challenges, in the present paper a continuum-based model was developed for conducting a virtual (re-)staining of a scanned histological slide. This model is capable of simulating the staining of cell nuclei with the dye hematoxylin (C.I. 75,290). The transport and binding of the dye are modeled (i) along with the resulting RGB intensities (ii). For (i), a coupled diffusion–reaction equation is used and for (ii) Beer–Lambert’s law. For the spatial discretization an approach based on the finite element method (FEM) is used and for the time discretization a finite difference method (FDM). For the validation of the proposed model, frozen sections from human liver biopsies stained with hemalum were used. The staining times were varied so that the development of the staining intensity could be observed over time. The results show that the model is capable of predicting the staining process. The model can therefore be used to perform a virtual (re-)staining of a histological sample. This allows a change of the staining parameters without the need of acquiring an additional sample. The virtual standardization of the staining is the first step towards universal cross-site comparability of histological slides.
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Affiliation(s)
- Johannes D M Menning
- Technische Universität Dresden, Institute of Solid Mechanics, George-Bähr-Straße 3c, 01069, Dresden, Germany
| | - Thomas Wallmersperger
- Technische Universität Dresden, Institute of Solid Mechanics, George-Bähr-Straße 3c, 01069, Dresden, Germany
- Technische Universität Dresden, Dresden Center for Intelligent Materials, School of Engineering Sciences, George-Bähr-Straße 3c, 01069, Dresden, Germany
| | - Matthias Meinhardt
- University Hospital Carl Gustav Carus Dresden, Institute of Pathology, Fetscherstraße 74, 01307, Dresden, Germany.
| | - Adrian Ehrenhofer
- Technische Universität Dresden, Institute of Solid Mechanics, George-Bähr-Straße 3c, 01069, Dresden, Germany.
- Technische Universität Dresden, Dresden Center for Intelligent Materials, School of Engineering Sciences, George-Bähr-Straße 3c, 01069, Dresden, Germany.
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232
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Reinhardt F, Fiedler A, Borgmeier F, Reinecke P, Esposito I, Mattes-György K, Dabir M, Friebe V, Krawczyk N, Kaleta T, Hoffmann J, Ruckhäberle E, Fehm T, Roth KS, Mohrmann S. Evaluation of Intraoperative Frozen Section Analysis with Final Histopathology Results for Sentinel Lymph Node Biopsy: Z0011 Criteria Eligible Versus Ineligible Breast Cancer
Patients. Geburtshilfe Frauenheilkd 2022; 82:610-618. [PMID: 35903717 PMCID: PMC9315401 DOI: 10.1055/a-1749-5226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 01/24/2022] [Indexed: 11/21/2022] Open
Abstract
Background
Intraoperative frozen section analysis (FSA) of sentinel lymph nodes (SLNs) declined in the post American College of Surgeons Oncology Group Z0011 (ACOSOG Z0011) trial
era. However, for those patients who do not meet the ACOSOG Z0011 criteria, FSA continues to be a valuable tool in intraoperative decision-making for axillary lymph node dissection (ALND).
The aim of this study was therefore to retrospectively evaluate the benefit and accuracy of FSA of Z0011 criteria eligible versus ineligible patients and identify possible predictive factors
for false negative results.
Methods
Intraoperative FSA was performed on SLNs of 522 cT1–T3 breast cancer patients between 2008 and 2013. Clinicopathologic characteristics were retrospectively assessed by chart
review.
Results
Overall FSA sensitivity and specificity was 67.8% and 100%. Sensitivity was generally higher for macrometastasis than for micrometastasis. The Z0011 eligible group showed a
sensitivity and specificity of 72.7% and 100% versus 62.1% and 100% in the Z0011 ineligible group. Importantly, subgroup analysis of ≤ 2 versus > 2 positive SLNs of the Z0011 eligible
group demonstrated both a 100% specificity and sensitivity. Several clinicopathologic factors were associated with a higher rate of false negative results in the Z0011 ineligible patient
group. FSA was beneficial for 22.2% of Z0011 ineligible patients and for only 0.6% of Z0011 eligible patients regarding intraoperative decision-making for ALND.
Conclusions
FSA continues to be especially beneficial in the intraoperative assessment of SLNs in the Z0011 ineligible group to prevent second stage ALND. Despite an overall lower
FSA sensitivity in the Z0011 eligible patient group, FSA offers in both groups a comparable high sensitivity and diagnostic accuracy for macrometastasis.
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Affiliation(s)
- Florian Reinhardt
- Department of Obstetrics and Gynecology, University Hospital and Medical Faculty of the Heinrich-Heine University Duesseldorf, Duesseldorf, Germany
| | - Anna Fiedler
- Department of Obstetrics and Gynecology, University Hospital and Medical Faculty of the Heinrich-Heine University Duesseldorf, Duesseldorf, Germany
| | - Felix Borgmeier
- Department of Obstetrics and Gynecology, University Hospital and Medical Faculty of the Heinrich-Heine University Duesseldorf, Duesseldorf, Germany
| | - Petra Reinecke
- Institute of Pathology, University Hospital and Medical Faculty of the Heinrich-Heine University Duesseldorf, Duesseldorf, Germany
| | - Irene Esposito
- Institute of Pathology, University Hospital and Medical Faculty of the Heinrich-Heine University Duesseldorf, Duesseldorf, Germany
| | - Katalin Mattes-György
- Department of Nuclear Medicine, University Hospital and Medical Faculty of the Heinrich-Heine University Duesseldorf, Duesseldorf, Germany
| | - Mardjan Dabir
- Department of Nuclear Medicine, University Hospital and Medical Faculty of the Heinrich-Heine University Duesseldorf, Duesseldorf, Germany
| | - Verena Friebe
- Department of Obstetrics and Gynecology, University Hospital and Medical Faculty of the Heinrich-Heine University Duesseldorf, Duesseldorf, Germany
| | - Natalia Krawczyk
- Department of Obstetrics and Gynecology, University Hospital and Medical Faculty of the Heinrich-Heine University Duesseldorf, Duesseldorf, Germany
| | - Thomas Kaleta
- Department of Obstetrics and Gynecology, University Hospital and Medical Faculty of the Heinrich-Heine University Duesseldorf, Duesseldorf, Germany
| | - Jürgen Hoffmann
- Department of Obstetrics and Gynecology, University Hospital and Medical Faculty of the Heinrich-Heine University Duesseldorf, Duesseldorf, Germany
| | - Eugen Ruckhäberle
- Department of Obstetrics and Gynecology, University Hospital and Medical Faculty of the Heinrich-Heine University Duesseldorf, Duesseldorf, Germany
| | - Tanja Fehm
- Department of Obstetrics and Gynecology, University Hospital and Medical Faculty of the Heinrich-Heine University Duesseldorf, Duesseldorf, Germany
| | - Katrin S. Roth
- Department of Nuclear Medicine, University Hospital of Cologne, Cologne, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital and Medical Faculty of the Heinrich-Heine University Duesseldorf, Duesseldorf, Germany
| | - Svjetlana Mohrmann
- Department of Obstetrics and Gynecology, University Hospital and Medical Faculty of the Heinrich-Heine University Duesseldorf, Duesseldorf, Germany
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Gradishar WJ, Moran MS, Abraham J, Aft R, Agnese D, Allison KH, Anderson B, Burstein HJ, Chew H, Dang C, Elias AD, Giordano SH, Goetz MP, Goldstein LJ, Hurvitz SA, Isakoff SJ, Jankowitz RC, Javid SH, Krishnamurthy J, Leitch M, Lyons J, Mortimer J, Patel SA, Pierce LJ, Rosenberger LH, Rugo HS, Sitapati A, Smith KL, Smith ML, Soliman H, Stringer-Reasor EM, Telli ML, Ward JH, Wisinski KB, Young JS, Burns J, Kumar R. Breast Cancer, Version 3.2022, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw 2022; 20:691-722. [PMID: 35714673 DOI: 10.6004/jnccn.2022.0030] [Citation(s) in RCA: 347] [Impact Index Per Article: 173.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The therapeutic options for patients with noninvasive or invasive breast cancer are complex and varied. These NCCN Clinical Practice Guidelines for Breast Cancer include recommendations for clinical management of patients with carcinoma in situ, invasive breast cancer, Paget disease, phyllodes tumor, inflammatory breast cancer, and management of breast cancer during pregnancy. The content featured in this issue focuses on the recommendations for overall management of ductal carcinoma in situ and the workup and locoregional management of early stage invasive breast cancer. For the full version of the NCCN Guidelines for Breast Cancer, visit NCCN.org.
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Affiliation(s)
| | | | - Jame Abraham
- Case Comprehensive Cancer Center/University Hospitals Seidman Cancer Center and Cleveland Clinic Taussig Cancer Institute
| | - Rebecca Aft
- Siteman Cancer Center at Barnes-Jewish Hospital and Washington University School of Medicine
| | - Doreen Agnese
- The Ohio State University Comprehensive Cancer Center - James Cancer Hospital and Solove Research Institute
| | | | | | | | | | - Chau Dang
- Memorial Sloan Kettering Cancer Center
| | | | | | | | | | | | | | | | - Sara H Javid
- Fred Hutchinson Cancer Research Center/University of Washington
| | | | | | - Janice Lyons
- Case Comprehensive Cancer Center/University Hospitals Seidman Cancer Center and Cleveland Clinic Taussig Cancer Institute
| | | | | | | | | | - Hope S Rugo
- UCSF Helen Diller Family Comprehensive Cancer Center
| | | | | | | | | | | | | | - John H Ward
- Huntsman Cancer Institute at the University of Utah
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Nakayama J, Matsunaga H, Arikawa K, Yoda T, Hosokawa M, Takeyama H, Yamamoto Y, Semba K. Identification of two cancer stem cell-like populations in triple-negative breast cancer xenografts. Dis Model Mech 2022; 15:275514. [PMID: 35611554 PMCID: PMC9235877 DOI: 10.1242/dmm.049538] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 05/16/2022] [Indexed: 11/24/2022] Open
Abstract
Gene expression analysis at the single-cell level by next-generation sequencing has revealed the existence of clonal dissemination and microheterogeneity in cancer metastasis. The current spatial analysis technologies can elucidate the heterogeneity of cell–cell interactions in situ. To reveal the regional and expressional heterogeneity in primary tumors and metastases, we performed transcriptomic analysis of microtissues dissected from a triple-negative breast cancer (TNBC) cell line MDA-MB-231 xenograft model with our automated tissue microdissection punching technology. This multiple-microtissue transcriptome analysis revealed three cancer cell-type clusters in the primary tumor and axillary lymph node metastasis, two of which were cancer stem cell (CSC)-like clusters (CD44/MYC-high, HMGA1-high). Reanalysis of public single-cell RNA-sequencing datasets confirmed that the two CSC-like populations existed in TNBC xenograft models and in TNBC patients. The diversity of these multiple CSC-like populations could cause differential anticancer drug resistance, increasing the difficulty of curing this cancer. Summary: We identified two types of cancer stem cell (CSC)-like populations in triple-negative breast cancer xenografts and patients. These CSC-like populations could potentially make tumors more drug resistant and thus more difficult to treat.
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Affiliation(s)
- Jun Nakayama
- Laboratory of Integrative Oncology, National Cancer Center Research Institute, Tokyo 104-0045, Japan.,Department of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, Tokyo 162-8480, Japan.,Computational Bio-Big Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo 169-8555, Japan
| | - Hiroko Matsunaga
- Research Organization for Nano & Life Innovation, Waseda University, Tokyo 169-8555, Japan
| | - Koji Arikawa
- Computational Bio-Big Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo 169-8555, Japan.,Research Organization for Nano & Life Innovation, Waseda University, Tokyo 169-8555, Japan
| | - Takuya Yoda
- Department of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, Tokyo 162-8480, Japan.,Research Organization for Nano & Life Innovation, Waseda University, Tokyo 169-8555, Japan
| | - Masahito Hosokawa
- Department of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, Tokyo 162-8480, Japan.,Computational Bio-Big Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo 169-8555, Japan.,Research Organization for Nano & Life Innovation, Waseda University, Tokyo 169-8555, Japan
| | - Haruko Takeyama
- Department of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, Tokyo 162-8480, Japan.,Computational Bio-Big Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo 169-8555, Japan.,Research Organization for Nano & Life Innovation, Waseda University, Tokyo 169-8555, Japan
| | - Yusuke Yamamoto
- Laboratory of Integrative Oncology, National Cancer Center Research Institute, Tokyo 104-0045, Japan
| | - Kentaro Semba
- Department of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, Tokyo 162-8480, Japan.,Translational Research Center, Fukushima Medical University, Fukushima 960-1295, Japan
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235
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Wu S, Gai JD, Yu XM, Mao X, Jin F. A novel nomogram and risk classification system for predicting lymph node metastasis of breast mucinous carcinoma: A SEER-based study. Cancer Med 2022; 11:4767-4783. [PMID: 35599552 PMCID: PMC9761057 DOI: 10.1002/cam4.4804] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 03/10/2022] [Accepted: 03/25/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Mucinous breast cancer (MBC) is a rare disease, and patients with lymph node metastasis (LNM) have a poor prognosis. We aimed to explore the predictive factors of LNM and to construct a nomogram for predicting the risk of LNM and to identify the suitable axillary surgery for patients with diverse risks. PATIENTS AND METHODS Data were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Chi-square and rank-sum tests were used to analyze the differences between groups. Survival analysis was performed with Kaplan-Meier curves and log-rank tests. Independent factor identification and nomogram construction were performed with logistic regression analysis. The nomogram was qualified with a discrimination and calibration plot. Propensity score matching was performed to balance the disparities between groups. RESULTS Patients with metastatic lymph nodes have a worse prognosis. Univariate and multivariate analyses indicated that tumor size, grade, and age were independent risk factors for LNM. The nomogram constructed with these three factors can predict the risk of LNM with high accuracy (AUC: 0.767, 95% CI: 0.697-0.838) and good calibration. Based on the nomogram, a risk classification system satisfactorily stratified the patients into 3 groups with diverse risks of LNM. In the low-risk group, there were no significant differences between sentinel lymph node biopsy and no axillary surgery. In the middle- and high-risk groups, both SLNB and axillary lymph node dissection were superior to no axillary surgery, with similar survival benefits. CONCLUSIONS The nomogram based on tumor size, grade, and age could conveniently and accurately predict the risk of LNM in MBC and assist clinicians in optimizing surgical strategies.
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Affiliation(s)
- Shuang‐Ling Wu
- Department of Surgical Oncology and Breast Surgerythe First Affiliated Hospital of China Medical UniversityShenyangChina
| | - Jun Da Gai
- Department of Pathologythe First Affiliated Hospital of China Medical UniversityShenyangChina
| | - Xin Miao Yu
- Department of Surgical Oncology and Breast Surgerythe First Affiliated Hospital of China Medical UniversityShenyangChina
| | - Xiaoyun Mao
- Department of Surgical Oncology and Breast Surgerythe First Affiliated Hospital of China Medical UniversityShenyangChina
| | - Feng Jin
- Department of Surgical Oncology and Breast Surgerythe First Affiliated Hospital of China Medical UniversityShenyangChina
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236
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Alcaide SM, Diana CAF, Herrero JC, Vegue LB, Perez AV, Arce ES, Sapiña JBB, Noguera PJG, Caravajal JMG. Can axillary lymphadenectomy be avoided in breast cancer with positive sentinel lymph node biopsy? Predictors of non-sentinel lymph node metastasis. Arch Gynecol Obstet 2022; 306:2123-2131. [PMID: 35503378 DOI: 10.1007/s00404-022-06556-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Accepted: 03/29/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE Completion axillary lymph node dissection (cALND) can currently be avoided in those patients with a low tumor load (LTL) and/or a low-risk profile that tested with positive sentinel lymph node biopsy (SLNB). Our objective is to identify prognostic factors that significantly influence axillary lymph node involvement to identify patients who could benefit from surgery without axillary lymphadenectomy. METHODS This is an observational retrospective study of consecutive patients diagnosed and operated of breast cancer between 2000 and 2014 at University Hospital La Ribera (UHR). RESULTS The size of the sample was 1641 patients, from which 1174 underwent SLNB. In the multivariate analysis, we objectify a raise of risk of positive sentinel lymph node (SLN) up to 5.2% for every millimeter of increase. The risk of positive SLNB when showing lymphovascular invasion seems to be 2.80 times greater but becomes lower when SLN involvement appears in luminal A, luminal B and triple-negative types, regarding HER2. In case of triple negatives, the difference is statistically significant. 16.7% present affected additional lymph nodes. The proportion of patients with affected additional lymph nodes increase dramatically above OSNA values of 12,000 copies/μl of CK19 mRNA and it depends on tumor size and lymphovascular infiltration. CONCLUSIONS Tumors smaller than 5 cm whose OSNA SLNB analysis is less than 12,000 copies/μl of CK19 mRNA have a low chance to develop additional affected lymph nodes, thus cALND can be avoided.
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Affiliation(s)
- Sonia Martinez Alcaide
- Department of General Surgery, University Hospital La Ribera, km 1, Corbera Road, 46600, Alzira, Valencia, Spain.
| | - Carlos Alberto Fuster Diana
- Breast Unit. University Hospital General, Tres Creus Av., 2, 46014, Valencia, Spain.,Department of General Surgery, IVO Hospital, Professor Beltran Baguena St, 8, 46009, Valencia, Spain
| | | | - Laia Bernet Vegue
- Department of Anatomic Pathology, Ribera Salud Hospitals, Valencia, Spain
| | | | - Eugenio Sahuquillo Arce
- Department of Maxillofacial Surgery, University Hospital La Ribera, km 1, Corbera Road, 46600, Alzira, Valencia, Spain
| | - Juan Blas Ballester Sapiña
- Department of General Surgery, University Hospital La Ribera, km 1, Corbera Road, 46600, Alzira, Valencia, Spain
| | - Pedro Juan Gonzalez Noguera
- Department of General Surgery, University Hospital La Ribera, km 1, Corbera Road, 46600, Alzira, Valencia, Spain
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237
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Stafford AP, Hoskin TL, Day CN, Sanders SB, Boughey JC. ASO Author Reflections: Axillary Management in Mastectomy Patients with Limited Nodal Burden. Ann Surg Oncol 2022; 29:4750-4751. [PMID: 35478062 DOI: 10.1245/s10434-022-11826-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 04/14/2022] [Indexed: 11/18/2022]
Affiliation(s)
- Arielle P Stafford
- Division of Breast and Melanoma Surgical Oncology, Department of Surgery, Mayo Clinic, Rochester, MN, USA
| | - Tanya L Hoskin
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Courtney N Day
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Stacy B Sanders
- Division of Breast and Melanoma Surgical Oncology, Department of Surgery, Mayo Clinic, Rochester, MN, USA
| | - Judy C Boughey
- Division of Breast and Melanoma Surgical Oncology, Department of Surgery, Mayo Clinic, Rochester, MN, USA.
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238
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Chen JC, Li Y, Fisher JL, Bhattacharyya O, Tsung A, Obeng-Gyasi S. Neighborhood socioeconomic status and low-value breast cancer care. J Surg Oncol 2022; 126:433-442. [PMID: 35452136 PMCID: PMC9541043 DOI: 10.1002/jso.26901] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 03/19/2022] [Accepted: 04/06/2022] [Indexed: 12/18/2022]
Abstract
BACKGROUND The objective of this study is to examine the association between neighborhood socioeconomic status (nSES) and receipt of low-value breast cancer procedures. METHODS Patients with breast cancer diagnosed between 2010 and 2016 were identified in the Surveillance, Epidemiology, and End Results (SEER) Program. Low value procedures included: (1) axillary lymph node dissection (ALND) for patients with limited nodal disease receiving breast conservation therapy (BCT); (2) contralateral prophylactic mastectomies (CPM); and (3) sentinel lymph node biopsies (SLNB) in patients ≥70 years old with clinically node negative early-stage hormone-positive breast cancer. The cohort was divided by nSES. Univariable and multivariable logistic regression analysis compared the groups. RESULTS The study included 412 959 patients. Compared to patients in high nSES areas, residing in neighborhoods with low nSES (odd ratio [OR] 2.20, 95% confidence interval [CI] 2.0-2.42) and middle nSES (OR 1.42, 95% CI 1.20-1.56) was associated with a higher probability of undergoing low value ALND. Conversely, patients in low SES neighborhoods were less likely to receive low value SLNB (OR 0.89, 95% CI 0.85-0.94) or CPM than (low nSES OR 0.75, 95% CI 0.73-0.77); middle nSES OR 0.91 (0.89-0.92) those in high SES neighborhoods. CONCLUSION In the SEER Program, low nSES was associated with a lower probability of low value procedures except for ALND utilization.
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Affiliation(s)
- J C Chen
- Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital, Columbus, Ohio, USA
| | - Yaming Li
- Department of Biomedical Informatics, University of Pittsburg, Pittsburg, Pennsylvania, USA
| | - James L Fisher
- James Cancer Hospital and Solove Research Institute, Columbus, Ohio, USA
| | - Oindrila Bhattacharyya
- Department of Economics, Indiana University Purdue University, Indianapolis, Indiana, USA
| | - Allan Tsung
- Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital, Columbus, Ohio, USA
| | - Samilia Obeng-Gyasi
- Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital, Columbus, Ohio, USA
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Stafford AP, Hoskin TL, Day CN, Sanders SB, Boughey JC. Contemporary Axillary Management in cT1-2N0 Breast Cancer with One or Two Positive Sentinel Lymph Nodes: Factors Associated with Completion Axillary Lymph Node Dissection Within the National Cancer Database. Ann Surg Oncol 2022; 29:4740-4749. [PMID: 35451727 DOI: 10.1245/s10434-022-11759-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 03/23/2022] [Indexed: 12/19/2022]
Abstract
BACKGROUND Management of the axilla in patients with cT1-2N0 breast cancer with one or two positive (+) sentinel lymph nodes (SLNs) is often debated, especially in patients undergoing mastectomy. In 2018, the National Cancer Database (NCDB) began collecting the number of +SLNs, enabling identification of patients with one or two +SLNs for the first time. METHODS From the 2018 NCDB participant user file (PUF), all cT1-2N0M0 patients with one or two +SLNs were identified. The rates of completion axillary lymph node dissection (cALND) after breast-conserving surgery (BCS) and mastectomy were determined, and logistic regression was used to assess factors associated with cALND. RESULTS Of 10,531 patients with one or two +SLNs, cALND was performed in 807/6498 (12.4%) BCS patients and 1845/4033 (45.7%) mastectomy patients (p < 0.001). Factors associated with cALND in BCS were cT2 versus cT1 (16.0% versus 11.1%, p < 0.001), two versus one positive SLN (20.7% versus 10.8%, p < 0.001), and higher tumor grade (grade 3: 15.4% versus grade 1-2: 11.7%, p = 0.002). Factors associated with cALND among mastectomy were cT2 versus cT1 (48.2% versus 43.7%, p = 0.004), two versus one positive SLN (56.6% versus 42.8%, p < 0.001), younger age (age < 50 years: 49.0%, age 50+ years: 44.1%, p = 0.004), and Hispanic ethnicity (55.7% versus 45.1%, p = 0.001). After adjusting for pN category, adjuvant radiation was significantly less likely after mastectomy if cALND was performed (odds ratio (OR) 0.51, p < 0.001). CONCLUSIONS Omission of cALND with one or two +SLNs in BCS is common. Deescalation of axillary therapy in mastectomy is slower, with a cALND rate of 45.7% in 2018. With the recent updates to the National Cancer Care Network (NCCN) guidelines, we anticipate continued deescalation of axillary therapy in mastectomy patients.
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Affiliation(s)
- Arielle P Stafford
- Division of Breast and Melanoma Surgical Oncology, Department of Surgery, Mayo Clinic, Rochester, MN, USA
| | - Tanya L Hoskin
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Courtney N Day
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Stacy B Sanders
- Division of Breast and Melanoma Surgical Oncology, Department of Surgery, Mayo Clinic, Rochester, MN, USA
| | - Judy C Boughey
- Division of Breast and Melanoma Surgical Oncology, Department of Surgery, Mayo Clinic, Rochester, MN, USA.
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240
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Choi L, Ku K, Chen W, Shahait AD, Kim S. Axillary Needle Biopsy in the Era of American College of Surgeons Oncology Group (ACOSOG) Z0011: Institutional Experience With a Largely Urban Minority Population and Review of the Literature. Cureus 2022; 14:e24317. [PMID: 35607532 PMCID: PMC9122337 DOI: 10.7759/cureus.24317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/20/2022] [Indexed: 11/24/2022] Open
Abstract
Background: The American College of Surgeons Oncology Group (ACOSOG) Z0011 trial demonstrated that sentinel lymph node biopsy (SLNB) alone is adequate for axillary control in patients with one to two positive axillary lymph nodes. However, axillary lymph node dissection (ALND) is required in patients with N1 disease diagnosed with a preoperative needle biopsy. In this report, we determined how many patients could potentially have had SNB alone based on finding only one to two positive nodes in the axilla. Methods: A retrospective review of patients with positive preoperative axillary needle biopsy undergoing ALND was used to identify rates of high volume axillary disease (>2 positive nodes). Wilcoxon’s rank-sum and Fisher’s exact test were used for statistical analysis. A review of the literature is included for comparison. Results: 73% of 51 total patients with a positive needle biopsy had >2 positive nodes on axillary dissection. The high-volume axillary disease was significantly more likely with the presence of lymphovascular invasion and extranodal extension. Conclusions: Patients with positive preoperative axillary needle biopsies have a significantly higher rate of high volume axillary disease. However, at least one-quarter of these patients will have <3 positive nodes and potentially could have been treated with SNB alone.
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Lorek A, Steinhof-Radwańska K, Zarębski W, Lorek J, Stojčev Z, Zych J, Syrkiewicz A, Niemiec P, Szyluk K. Comparative Analysis of Postoperative Complications of Sentinel Node Identification Using the SentiMag ® Method and the Use of a Radiotracer in Patients with Breast Cancer. Curr Oncol 2022; 29:2887-2894. [PMID: 35621625 PMCID: PMC9139760 DOI: 10.3390/curroncol29050235] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 04/13/2022] [Accepted: 04/15/2022] [Indexed: 11/18/2022] Open
Abstract
(1) Background: The purpose of the study was a retrospective, comparative assessment of complications of the surgical sentinel node biopsy (SNB) procedure in breast cancer using the radiotracer method and the SentiMag® method on groups of patients after 3.5 years of use. (2) Methods: The material was a group of 345 patients with primary surgical breast cancer who underwent the SNB procedure with the use of a radiotracer in combination with wide local excision (WLE), simple amputation (SA) with SNB and an independent SNB procedure in the period from May 2018 to January 2021 in the Department of Oncological Surgery. Of the patients who were monitored in the Hospital Outpatient Clinic, 300 were enrolled. The analyzed group was compared in terms of the occurrence of the same complications with the group of 303 patients also operated on in our center in the period from January 2014 to September 2017, in which SN identification was performed using the SentiMag® method. (3) Results: The most common complications found were sensation disorders in the arm, which occurred in 16 (14.1%) patients using the radiotracer method, SentiMag®-11 (9.9%). By comparing the complication rate between the methods with the radiotracer (n = 300) and SentiMag® (n = 303), no significant differences were found. (4) Conclusions: Sentinel node (SN) identification using the radiotracer method and the SentiMag® method are comparable diagnostic methods in breast cancer, with a low risk of complications.
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Affiliation(s)
- Andrzej Lorek
- Department of Oncological Surgery, Kornel Gibiński Independent Public Central Clinical Hospital, Medical University of Silesia in Katowice, 40-514 Katowice, Poland;
| | - Katarzyna Steinhof-Radwańska
- Department of Radiology and Nuclear Medicine, Kornel Gibiński Independent Public Central Clinical Hospital, Medical University of Silesia in Katowice, 40-752 Katowice, Poland;
| | - Wojciech Zarębski
- Department of Oncological Surgery, Kornel Gibiński Independent Public Central Clinical Hospital, Medical University of Silesia in Katowice, 40-514 Katowice, Poland;
| | - Joanna Lorek
- Department of Surgery, Ludwig Rydygier Hospital sp. z.o.o., 31-826 Krakow, Poland;
| | - Zoran Stojčev
- Teaching Department of Oncology and Breast Diseases, Central Teaching Hospital of the Ministry of Internal Affairs and Administration, Wołoska 137, 02-507 Warsaw, Poland;
| | - Jacek Zych
- Medical Faculty, Medical University of Silesia in Katowice, 40-514 Katowice, Poland; (J.Z.); (A.S.)
| | - Aleksandra Syrkiewicz
- Medical Faculty, Medical University of Silesia in Katowice, 40-514 Katowice, Poland; (J.Z.); (A.S.)
| | - Paweł Niemiec
- Department of Biochemistry and Medical Genetics, School of Health Sciences, Medical University of Silesia in Katowice, 40-752 Katowice, Poland;
| | - Karol Szyluk
- Department of Physiotherapy, Faculty of Health Sciences in Katowice, Medical University of Silesia in Katowice, 40-752 KatowiSce, Poland;
- Department of Orthopaedic and Trauma Surgery, District Hospital of Orthopaedics and Trauma Surgery, 41-940 Piekary Śląskie, Poland
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Ensenyat-Mendez M, Rünger D, Orozco JIJ, Le J, Baker JL, Weidhaas J, Marzese DM, DiNome ML. Epigenetic Signatures Predict Pathologic Nodal Stage in Breast Cancer Patients with Estrogen Receptor-Positive, Clinically Node-Positive Disease. Ann Surg Oncol 2022; 29:4716-4724. [DOI: 10.1245/s10434-022-11684-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 03/16/2022] [Indexed: 12/30/2022]
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Ye L, Rünger D, Angarita SA, Hadaya J, Baker JL, Lee MK, Thompson CK, Attai DJ, DiNome ML. Higher risk tumor features are not associated with higher nodal stage in patients with estrogen receptor-positive, node-positive breast cancer. Breast Cancer Res Treat 2022; 193:429-436. [PMID: 35389189 DOI: 10.1007/s10549-022-06581-9] [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: 02/01/2022] [Accepted: 03/24/2022] [Indexed: 11/02/2022]
Abstract
INTRODUCTION Studies support omission of axillary lymph node dissection (ALND) for patients with sentinel node-positive disease, with ALND recommended for patients who present with clinically positive nodes. Here, we evaluate patient and tumor characteristics and pathologic nodal stage of patients with estrogen receptor-positive (ER +) breast cancer who undergo ALND to determine if differences exist based on nodal presentation. MATERIALS AND METHODS Retrospective chart review from 2010 to 2019 defined three groups of patients with ER + breast cancer who underwent ALND for positive nodes: SLN + (positive node identified at SLN biopsy), cNUS (abnormal preoperative US and biopsy), and cNpalp (palpable adenopathy). Patients who received neoadjuvant chemotherapy or presented with axillary recurrence were excluded. RESULTS Of 191 patients, 94 were SLN + , 40 were cNUS, and 57 were cNpalp. Patients with SLN + compared with cNpalp were younger (56 vs 64 years, p < 0.01), more often pre-menopausal (41% vs 14%, p < 0.01), and White (65% vs 39%, p = 0.01) with more tumors that were low-grade (36% vs 8%, p < 0.01). Rates of PR + (p = 0.16), levels of Ki67 expression (p = 0.07) and LVI (p = 0.06) did not differ significantly among groups. Of patients with SLN + disease, 64% had pN1 disease compared to 38% of cNUS (p = 0.1) and 40% of cNpalp (p = 0.01). On univariable analysis, tumor size (p = 0.01) and histology (p = 0.04) were significantly associated with pN1 disease, with size remaining an independent predictor on multivariable analysis (p = 0.02). CONCLUSION Historically, higher risk features have been attributed to patients with clinically positive nodes precluding omission of ALND, but when restricting evaluation to patients with ER + breast cancer, only tumor size is associated with higher nodal stage.
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Affiliation(s)
- Linda Ye
- Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Dennis Rünger
- Statistics Core, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Stephanie A Angarita
- Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Joseph Hadaya
- Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Jennifer L Baker
- Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Minna K Lee
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Carlie K Thompson
- Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Deanna J Attai
- Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Maggie L DiNome
- Department of Surgery, Duke University School of Medicine, Durham, NC, 27710, USA.
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244
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Minami CA, Jin G, Schonberg MA, Freedman RA, King TA, Mittendorf EA. Variation in Deescalated Axillary Surgical Practices in Older Women with Early-Stage Breast Cancer. Ann Surg Oncol 2022; 29:10.1245/s10434-022-11677-z. [PMID: 35385998 PMCID: PMC9982465 DOI: 10.1245/s10434-022-11677-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 03/07/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Randomized controlled trials show that certain axillary surgical practices can be safely deescalated in older adults with early-stage breast cancer. Hospital volume is often equated with surgical quality, but it is unclear whether this includes performance of low-value surgeries. We sought to describe how utilization of two low-value axillary surgeries has varied by time and hospital volume. METHODS Women aged ≥ 70 years diagnosed with breast cancer from 2013 to 2016 were identified in the National Cancer Database. The outcomes of interest were sentinel lymph node biopsy (SLNB) in cT1N0 hormone receptor-positive cancer patients and axillary lymph node dissection (ALND) in cT1-2N0 patients undergoing breast-conserving surgery with ≤ 2 pathologically positive nodes. Time trends in procedure use and multivariable regression with restricted cubic splines were performed, adjusting for patient, disease, and hospital factors. RESULTS Overall, 83.4% of 44,779 women eligible for omission of SLNB underwent SLNB and 20.0% of 7216 patients eligible for omission of ALND underwent ALND. SLNB rates did not change significantly over time and remained significantly different by age group (70-74 years: 93.5%; 75-79 years: 89.7%, 80-84 years: 76.7%, ≥ 85 years: 48.9%; p < 0.05). ALND rates decreased over the study period across all age groups included (22.5 to 16.9%, p < 0.001). In restricted cubic splines models, lower hospital volume was associated with higher likelihood of undergoing SLNB and ALND. CONCLUSIONS ALND omission has been more widely adopted than SLNB omission in older adults, but lower hospital volume is associated with higher likelihood of both procedures. Practice-specific deimplementation strategies are needed, especially for lower-volume hospitals.
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Affiliation(s)
- Christina A Minami
- Division of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA.
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA.
| | - Ginger Jin
- Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, MA, USA
| | - Mara A Schonberg
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Rachel A Freedman
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Tari A King
- Division of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
| | - Elizabeth A Mittendorf
- Division of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
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245
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Song D, Yang F, Zhang Y, Guo Y, Qu Y, Zhang X, Zhu Y, Cui S. Dynamic contrast-enhanced MRI radiomics nomogram for predicting axillary lymph node metastasis in breast cancer. Cancer Imaging 2022; 22:17. [PMID: 35379339 PMCID: PMC8981871 DOI: 10.1186/s40644-022-00450-w] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 02/01/2022] [Indexed: 12/20/2022] Open
Abstract
Purpose The goal of this study is to develop and validate a radiomics nomogram integrating the radiomics features from DCE-MRI and clinical factors for the preoperative diagnosis of axillary lymph node (ALN) metastasis in breast cancer patients. Procedures A total of 432 patients with breast cancer were enrolled in this retrospective study and divided into a training cohort (n = 296) and a validation cohort (n = 136). Radiomics features were extracted from the second phase of dynamic contrast enhanced (DCE) MRI images. The least absolute shrinkage and selection operator (LASSO) regression method was used to screen optimal features and construct a radiomics signature in the training cohort. Multivariable logistic regression analysis was used to establish a radiomics nomogram model based on the radiomics signature and clinical factors. The predictive performance of the nomogram was quantified with respect to discrimination and calibration, which was further evaluated in the independent validation cohort. Results Fourteen ALN metastasis-related features were selected to construct the radiomics signature, with an area under the curve (AUC) of 0.847 and 0.805 in the training and validation cohorts, respectively. The nomogram was established by incorporating the histological grade, multifocality, MRI report lymph node status and radiomics signature and showed good calibration and excellent performance for ALN detection (AUC of 0.907 and 0.874 in the training and validation cohorts, respectively). The decision curve, which demonstrated the radiomics nomogram, displayed promising clinical utility. Conclusions The radiomics nomogram can be used as a noninvasive and reliable tool to assist clinicians in accurately predicting ALN metastasis in breast cancer preoperatively. Supplementary Information The online version contains supplementary material available at 10.1186/s40644-022-00450-w.
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Affiliation(s)
- Deling Song
- Graduate Faculty, Hebei North University, 12 Changqing Road, Qiaoxi District, Zhangjiakou, 075000, China.,Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang New District, Ouhai District, Wenzhou, 32000, Zhejiang, China
| | - Fei Yang
- Department of Radiology, The First Affiliated Hospital of Hebei North University, 12 Changqing Road, Qiaoxi District, Zhangjiakou, 075000, China
| | - Yujiao Zhang
- Department of Radiology, The First Affiliated Hospital of Hebei North University, 12 Changqing Road, Qiaoxi District, Zhangjiakou, 075000, China
| | - Yazhe Guo
- Department of Radiology, The First Affiliated Hospital of Hebei North University, 12 Changqing Road, Qiaoxi District, Zhangjiakou, 075000, China
| | - Yingwu Qu
- Department of Radiology, The First Affiliated Hospital of Hebei North University, 12 Changqing Road, Qiaoxi District, Zhangjiakou, 075000, China
| | - Xiaochen Zhang
- Department of Radiology, The First Affiliated Hospital of Hebei North University, 12 Changqing Road, Qiaoxi District, Zhangjiakou, 075000, China
| | - Yuexiang Zhu
- Department of Radiology, The First Affiliated Hospital of Hebei North University, 12 Changqing Road, Qiaoxi District, Zhangjiakou, 075000, China
| | - Shujun Cui
- Department of Radiology, The First Affiliated Hospital of Hebei North University, 12 Changqing Road, Qiaoxi District, Zhangjiakou, 075000, China.
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Liu Y, Luo H, Wang C, Chen X, Wang M, Zhou P, Ren J. Diagnostic performance of T2-weighted imaging and intravoxel incoherent motion diffusion-weighted MRI for predicting metastatic axillary lymph nodes in T1 and T2 stage breast cancer. Acta Radiol 2022; 63:447-457. [PMID: 33779304 DOI: 10.1177/02841851211002834] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Non-invasive modalities for assessing axillary lymph node (ALN) are needed in clinical practice. PURPOSE To investigate the suspicious ALN on unenhanced T2-weighted (T2W) imaging and intravoxel incoherent motion diffusion-weighted imaging (IVIM DWI) for predicting ALN metastases (ALNM) in patients with T1-T2 stage breast cancer and clinically negative ALN. MATERIAL AND METHODS Two radiologists identified the most suspicious ALN or the largest ALN in negative axilla by T2W imaging features, including short axis (Size-S), long axis (Size-L)/S ratio, fatty hilum, margin, and signal intensity on T2W imaging. The IVIM parameters of these selected ALNs were also obtained. The Mann-Whitney U test or t-test was used to compare the metastatic and non-metastatic ALN groups. Finally, logistic regression analysis with T2W imaging and IVIM features for predicting ALNM was conducted. RESULTS This study included 49 patients with metastatic ALNs and 50 patients with non-metastatic ALNs. Using the above conventional features on T2W imaging, the sensitivity and specificity in predicting ALNM were not high. Compared with non-metastatic ALNs, metastatic ALNs had lower pseudo-diffusion coefficient (D*) (P = 0.043). Logistic regression analysis showed that the most useful features for predicting ALNM were signal intensity and D*. The sensitivity and specificity predicting ALNM that satisfied abnormal signal intensity and lower D* were 73.5% and 84%, respectively. CONCLUSIONS The abnormal signal intensity on T2W imaging and one IVIM feature (D*) were significantly associated with ALNM, with sensitivity of 73.5% and specificity of 84%.
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Affiliation(s)
- Yuanyuan Liu
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
| | - Hongbing Luo
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
| | - Chunhua Wang
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
| | - Xiaoyu Chen
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
| | - Min Wang
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
| | - Peng Zhou
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
| | - Jing Ren
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
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Durhan G, Erdemir A, Konan A. Evaluation of Latissimus Dorsi Muscle Atrophy via Computed Tomography in Patients with Breast Cancer After Axillary Lymph Node Dissection. Indian J Surg 2022. [DOI: 10.1007/s12262-021-02883-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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248
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Single shot lymphoscintigraphy in breast cancer: Effective single tracer sentinel node detection protocol with reduction in procedural pain. Clin Imaging 2022; 84:43-46. [DOI: 10.1016/j.clinimag.2022.01.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 01/08/2022] [Accepted: 01/26/2022] [Indexed: 11/17/2022]
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Malouff TD, Vallow LA, Magalhaes WL, Seneviratne DS, Waddle MR, Tzou KS. Dosimetric Analysis of Axillary Lymph Node Coverage Using High Tangents in the Prone Position for Left-Sided Breast Cancers. Cureus 2022; 14:e23613. [PMID: 35505718 PMCID: PMC9053363 DOI: 10.7759/cureus.23613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/29/2022] [Indexed: 11/05/2022] Open
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250
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Duan Y, Zhu Y, Nie F, Guan L, Jia Y, Chen K, Wang W. Predictive value of combining clinicopathological, multimodal ultrasonic characteristics in axillary lymph nodal metastasis burden of patients with cT1-2N0 breast cancer. Clin Hemorheol Microcirc 2022; 81:255-269. [PMID: 35342081 DOI: 10.3233/ch-221398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Since the ACOSOG Z0011 trial, the clinical examination of axillary lymph node-negative early breast cancer patients (cT1-2N0) can be used to predict the burden of axillary lymph nodes (ALNs) by axillary ultrasound (AUS). To improving diagnosis of axillary lymph node metastasis (ALNM), we assessed the value of combining clinicopathological, conventional ultrasound, SWE features in the cT1-2N0 breast cancer patients. METHODS Retrospective analysis of 285 patients with cT1-2N0 breast cancer who underwent preoperative ultrasound examination of the lesion and axillary, with shear wave elastography (SWE) of the lesions. According to the postoperative pathological results, they were divided into ≤2 metastatic ALNs group (low nodal burden, LNB) and > 2 metastatic ALNs group (high nodal burden, HNB). Binary logistic regression analysis was used to screen independent risk factors and establish prediction models. The best cut-off value of continuous variables is determined by the receiver operating characteristic curve, and the performance of the prediction model is evaluated. RESULTS Presence of lymphovascular invasion (OR = 7.966, P = 0.010), tumor size (OR = 2.485, P = 0.019), Emean of intratumor (OR = 0.939, P = 0.002) and cortical thickness of lymph node (OR = 9.277, P < 0.001) were independent risk predictors for HNB of cT1-2N0 Group. The predictive model of combined method had better performance in predicting HNB of cT1-2N0 compared with models based on SWE and conventional ultrasound alone (area under the curve: 0.824 vs 0.658, P < 0.001; 0.824 vs 0.789, P = 0.035). CONCLUSIONS The predictive models of combined method obtained from significant clinicopathological and ultrasonographic features can potentially improve the diagnosis and individual treatment of ALNM in patients with cT1-2N0 breast cancer.
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Affiliation(s)
- Ying Duan
- Department of Ultrasound, Lanzhou University Second Hospital, Lanzhou, China.,Department of Ultrasound, Gansu Cancer Hospital, Lanzhou, China
| | - Yangyang Zhu
- Department of Ultrasound, Lanzhou University Second Hospital, Lanzhou, China
| | - Fang Nie
- Department of Ultrasound, Lanzhou University Second Hospital, Lanzhou, China
| | - Ling Guan
- Department of Ultrasound, Gansu Cancer Hospital, Lanzhou, China
| | - Yingying Jia
- Department of Ultrasound, Lanzhou University Second Hospital, Lanzhou, China
| | - Kundi Chen
- Department of Ultrasound, Lanzhou University Second Hospital, Lanzhou, China
| | - Weili Wang
- Department of Ultrasound, Gansu Cancer Hospital, Lanzhou, China
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