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Carleton N, Radomski TR, Li D, Zou J, Harris J, Hamm M, Wang Z, Saadawi G, Fischer GS, Arnold J, Cowher MS, Lupinacci K, Sabih Q, Steiman J, Johnson RR, Soran A, Diego EJ, Oesterreich S, Tseng G, Lee AV, McAuliffe PF. Electronic Health Record-Based Nudge Intervention and Axillary Surgery in Older Women With Breast Cancer: A Nonrandomized Controlled Trial. JAMA Surg 2024; 159:1117-1125. [PMID: 39018053 PMCID: PMC11255976 DOI: 10.1001/jamasurg.2024.2407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 05/07/2024] [Indexed: 07/18/2024]
Abstract
Importance Choosing Wisely recommendations advocate against routine use of axillary staging in older women with early-stage, clinically node-negative (cN0), hormone receptor-positive (HR+), and HER2-negative breast cancer. However, rates of sentinel lymph node biopsy (SLNB) in this population remain persistently high. Objective To evaluate whether an electronic health record (EHR)-based nudge intervention targeting surgeons in their first outpatient visit with patients meeting Choosing Wisely criteria decreases rates of SLNB. Design, Setting, and Participants This nonrandomized controlled trial was a hybrid type 1 effectiveness-implementation study with subsequent postintervention semistructured interviews and lasted from October 2021 to October 2023. Data came from EHRs at 8 outpatient clinics within an integrated health care system; participants included 7 breast surgical oncologists. Data were collected for female patients meeting Choosing Wisely criteria for omission of SLNB (aged ≥70 years with cT1 and cT2, cN0, HR+/HER2- breast cancer). The study included a 12-month preintervention control period; baseline surveys assessing perceived acceptability, appropriateness, and feasibility of the designed intervention; and a 12-month intervention period. Intervention A column nudge was embedded into the surgeon's schedule in the EHR identifying patients meeting Choosing Wisely criteria for potential SLNB omission. Main Outcomes and Measures The primary outcome was rate of SLNB following nudge deployment into the EHR. Results Similar baseline demographic and tumor characteristics were observed before (control period, n = 194) and after (intervention period, n = 193) nudge deployment. Patients in both the control and intervention period had a median (IQR) age of 75 (72-79) years. Compared with the control period, unadjusted rates of SLNB decreased by 23.1 percentage points (46.9% SLNB rate prenudge to 23.8% after; 95% CI, -32.9 to -13.8) in the intervention period. An interrupted time series model showed a reduction in the rate of SLNB following nudge deployment (adjusted odds ratio, 0.26; 95% CI, 0.07 to 0.90; P = .03). The participating surgeons scored the intervention highly on acceptability, appropriateness, and feasibility. Dominant themes from semistructured interviews indicated that the intervention helped remind the surgeons of potential Choosing Wisely applicability without the need for additional clicks or actions on the day of the patient visit, which facilitated use. Conclusions and Relevance This study showed that a nudge intervention in the EHR significantly decreased low-value axillary surgery in older women with early-stage, cN0, HR+/HER2- breast cancer. This user-friendly and easily implementable EHR-based intervention could be a beneficial approach for decreasing low-value care in other practice settings or patient populations. Trial Registration ClinicalTrials.gov Identifier: NCT06006910.
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Affiliation(s)
- Neil Carleton
- Women’s Cancer Research Center, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - Thomas R. Radomski
- Center for Research on Health Care, Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
- VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Danyang Li
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jian Zou
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - John Harris
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Megan Hamm
- Center for Research on Health Care, Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Ziqi Wang
- Division of Breast Surgical Oncology, Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Gary S. Fischer
- eRecord Ambulatory Decision Support and Analytics, Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jonathan Arnold
- eRecord Ambulatory Decision Support and Analytics, Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Michael S. Cowher
- Division of Breast Surgical Oncology, Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Kristin Lupinacci
- Division of Breast Surgical Oncology, Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Quratulain Sabih
- Division of Breast Surgical Oncology, Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jennifer Steiman
- Division of Breast Surgical Oncology, Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Ronald R. Johnson
- Division of Breast Surgical Oncology, Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Atilla Soran
- Division of Breast Surgical Oncology, Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Emilia J. Diego
- Division of Breast Surgical Oncology, Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Steffi Oesterreich
- Women’s Cancer Research Center, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - George Tseng
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Adrian V. Lee
- Women’s Cancer Research Center, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - Priscilla F. McAuliffe
- Women’s Cancer Research Center, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
- Division of Breast Surgical Oncology, Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania
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Botty van den Bruele A, Paul MA, Thomas SM, Sammons SL, DiNome ML, Plichta JK, Record SM, Woriax H, Chiba A, Rosenberger LH, Hwang ES. Axillary nodal disease burden is not associated with an elevated 21-gene recurrence score in post-menopausal women presenting with a clinically negative axilla. Am J Surg 2024; 233:45-51. [PMID: 38350748 PMCID: PMC11164627 DOI: 10.1016/j.amjsurg.2024.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/16/2024] [Accepted: 02/05/2024] [Indexed: 02/15/2024]
Abstract
BACKGROUND The predictive and prognostic value of the recurrence score (RS) has emphasized the importance of tumor biology and has reduced the prognostic implications of limited nodal burden in post-menopausal women with HR+/HER2-invasive breast cancer (IBC). It is unclear whether routine axillary staging has a continued role in the management of small, clinically node negative (cN0) HR+/HER2- IBC. We sought to estimate the association of RS with pN stage. METHODS Patients >50yo diagnosed with cN0, HR+/HER2- IBC (2015-2019) with an available RS were identified from the National Cancer Database. The clinicopathologic characteristics and rates of pN-stage (pN0, pN1, pN2/3) were compared for RS of ≤25 vs. >25. RESULTS The median patient age was 64.1 (IQR 58-69) and the majority (75%) of tumors displayed ductal histology. Most (81.6%) were cT1 on presentation and pT1 (74.7%) on final pathology. There were 130,568 (86.2%) with a RS ≤ 25 and 20,879 (13.8%) with a RS > 25. On final pathology, 128,995 (85.2%) were pN0 and 21,991 (14.5%) pN1. Of the pN1, 2699 (12.3%) yielded a RS > 25. There were 461 (0.3%) patients with pN2-pN3 disease. Of those, 57 (12.4%) had RS > 25. CONCLUSION In our analysis, pN0 and pN1 tumors are biologically similar by gene expression assay in postmenopausal patients with similar proportions of high RS. These data support the notion that tumor biology examined via RS may have more prognostic and predictive value than metastatic dissemination to limited lymph nodes. These findings support the ongoing evaluation of routine axillary staging in postmenopausal patients with HR+/HER2- IBC.
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Affiliation(s)
- Astrid Botty van den Bruele
- Department of Surgery, Duke University, Durham, NC, USA; Duke Cancer Institute, Duke University, Durham, NC, USA.
| | - Morgan A Paul
- Duke Cancer Institute, Duke University, Durham, NC, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Samantha M Thomas
- Duke Cancer Institute, Duke University, Durham, NC, USA; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Sarah L Sammons
- Department of Medicine, Dana Farber Cancer Institute, Boston, MA, USA
| | - Maggie L DiNome
- Department of Surgery, Duke University, Durham, NC, USA; Duke Cancer Institute, Duke University, Durham, NC, USA
| | - Jennifer K Plichta
- Department of Surgery, Duke University, Durham, NC, USA; Duke Cancer Institute, Duke University, Durham, NC, USA
| | - Sydney M Record
- Department of Surgery, Duke University, Durham, NC, USA; Department of Medicine, Dana Farber Cancer Institute, Boston, MA, USA
| | - Hannah Woriax
- Department of Surgery, Duke University, Durham, NC, USA; Duke Cancer Institute, Duke University, Durham, NC, USA
| | - Akiko Chiba
- Department of Surgery, Duke University, Durham, NC, USA; Duke Cancer Institute, Duke University, Durham, NC, USA
| | - Laura H Rosenberger
- Department of Surgery, Duke University, Durham, NC, USA; Duke Cancer Institute, Duke University, Durham, NC, USA
| | - E Shelley Hwang
- Department of Surgery, Duke University, Durham, NC, USA; Duke Cancer Institute, Duke University, Durham, NC, USA
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Williams AD, Weiss A. Recent Advances in the Upfront Surgical Management of the Axilla in Patients with Breast Cancer. Clin Breast Cancer 2024; 24:271-277. [PMID: 38220539 DOI: 10.1016/j.clbc.2023.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 12/19/2023] [Indexed: 01/16/2024]
Abstract
Nodal status is an important prognostic indicator. Upfront axillary surgery for patients with breast cancer has historically been both diagnostic and therapeutic-serving to determine nodal status and inform adjuvant therapies, and to remove clinically significant disease. However, trials of de-escalation or omission of axillary surgery altogether consistently demonstrate noninferior oncologic outcomes in a wide variety of patient subsets. These strategies also reduce the morbidity associated with either sentinel lymphadenectomy or axillary lymph node dissection. Here we will briefly review landmark trials that have shaped upfront axillary surgery as well as recent advances, and discuss areas of ongoing investigation and future needs.
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Affiliation(s)
- Austin D Williams
- Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA
| | - Anna Weiss
- Division of Surgical Oncology, Department of Surgery, University of Rochester Medical Center, Rochester, NY.
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Yang X, Lu Z, Tan X, Shao L, Shi J, Dou W, Sun Z. Evaluating the added value of synthetic magnetic resonance imaging in predicting sentinel lymph node status in breast cancer. Quant Imaging Med Surg 2024; 14:3789-3802. [PMID: 38846281 PMCID: PMC11151255 DOI: 10.21037/qims-24-1] [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: 01/01/2024] [Accepted: 03/29/2024] [Indexed: 06/09/2024]
Abstract
Background The noninvasive prediction of sentinel lymph node (SLN) metastasis using quantitative magnetic resonance imaging (MRI), particularly with synthetic MRI (syMRI), is an emerging field. This study aimed to explore the potential added benefits of syMRI over conventional MRI and diffusion-weighted imaging (DWI) in predicting metastases in SLNs. Methods This retrospective study consecutively enrolled 101 patients who were diagnosed with breast cancer (BC) and underwent SLN biopsy from December 2022 to October 2023 at the Affiliated Hospital of Jiangnan University. These patients underwent preoperative MRI including conventional MRI, DWI, and syMRI and were categorized into two groups according to the postoperative pathological results: those with and without metastatic SLNs. MRI morphological features, DWI, and syMRI-derived quantitative parameters of breast tumors were statistically compared between these two groups. Binary logistic regression was used to separately develop predictive models for determining the presence of SLN involvement, with variables that exhibited significant differences being incorporated. The performance of each model was evaluated through receiver operating characteristic (ROC) curve analysis, including the area under the curve (AUC), sensitivity, and specificity. Results Compared to the group of 54 patients with BC but no metastatic SLNs, the group of 47 patients with BC and metastatic SLNs had a significantly larger maximum axis diameter [metastatic SLNs: median 2.40 cm, interquartile range (IQR) 1.50-3.00 cm; no metastatic SLNs: median 1.80 cm, IQR 1.37-2.50 cm; P=0.03], a higher proton density (PD) (78.44±11.92 vs. 69.20±10.63 pu; P<0.001), and a lower apparent diffusion coefficient (ADC) (metastatic SLNs: median 0.91×10-3 mm2/s, IQR 0.79-1.01 mm2/s; no metastatic SLNs: median 1.02×10-3 mm2/s, IQR 0.92-1.12 mm2/s; P=0.001). Moreover, the prediction model with maximum axis diameter and ADC yielded an AUC of 0.71 [95% confidence interval (CI): 0.618-0.802], with a sensitivity of 78.72% and a specificity of 51.85%; After addition of syMRI-derived PD to the prediction model, the AUC increased significantly to 0.86 (AUC: 0.86 vs. 0.71; 95% CI: 0.778-0.922; P=0.002), with a sensitivity of 80.85% and a specificity of 81.50%. Conclusions Combined with conventional MRI and DWI, syMRI can offer additional value in enhancing the predictive performance of determining SLN status before surgery in patients with BC.
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Affiliation(s)
- Xiao Yang
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Zhou Lu
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Xiaoying Tan
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Lin Shao
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Jie Shi
- GE Healthcare, MR Research China, Beijing, China
| | - Weiqiang Dou
- GE Healthcare, MR Research China, Beijing, China
| | - Zongqiong Sun
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi, China
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Carleton N, Saadawi G, McAuliffe PF, Soran A, Oesterreich S, Lee AV, Diego EJ. Use of Natural Language Understanding to Facilitate Surgical De-Escalation of Axillary Staging in Patients With Breast Cancer. JCO Clin Cancer Inform 2024; 8:e2300177. [PMID: 38776506 PMCID: PMC11180980 DOI: 10.1200/cci.23.00177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 02/26/2024] [Accepted: 04/01/2024] [Indexed: 05/25/2024] Open
Abstract
PURPOSE Natural language understanding (NLU) may be particularly well equipped for enhanced data capture from the electronic health record given its examination of both content-driven and context-driven extraction. METHODS We developed and applied a NLU model to examine rates of pathological node positivity (pN+) and rates of lymphedema to determine whether omission of routine axillary staging could be extended to younger patients with estrogen receptor-positive (ER+)/cN0 disease. RESULTS We found that rates of pN+ and arm lymphedema were similar between patients age 55-69 years and ≥70 years, with rates of lymphedema exceeding rates of pN+ for clinical stage T1c and smaller disease. CONCLUSION Data from our NLU model suggest that omission of sentinel lymph node biopsy might be extended beyond Choosing Wisely recommendations, limited to those older than 70 years and to all postmenopausal women with early-stage ER+/cN0 disease. These data support the recently reported SOUND trial results and provide additional granularity to facilitate surgical de-escalation.
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Affiliation(s)
- Neil Carleton
- Women's Cancer Research Center, UPMC Hillman Cancer Center, Pittsburgh, PA
- Magee Women's Research Institute, Pittsburgh, PA
| | | | - Priscilla F McAuliffe
- Division of Breast Surgical Oncology, Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Atilla Soran
- Division of Breast Surgical Oncology, Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Steffi Oesterreich
- Women's Cancer Research Center, UPMC Hillman Cancer Center, Pittsburgh, PA
- Magee Women's Research Institute, Pittsburgh, PA
- Department of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, PA
| | - Adrian V Lee
- Women's Cancer Research Center, UPMC Hillman Cancer Center, Pittsburgh, PA
- Magee Women's Research Institute, Pittsburgh, PA
- Department of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, PA
| | - Emilia J Diego
- Division of Breast Surgical Oncology, Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA
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Carleton N, Saadawi G, McAuliffe PF, Soran A, Oesterreich S, Lee AV, Diego EJ. Use of natural language understanding to facilitate surgical de-escalation of axillary staging in patients with breast cancer. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.03.24302095. [PMID: 38370730 PMCID: PMC10871380 DOI: 10.1101/2024.02.03.24302095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Natural language understanding (NLU) may be particularly well-equipped for enhanced data capture from the electronic health record (EHR) given its examination of both content- and context-driven extraction. We developed and applied a NLU model to examine rates of pathological node positivity (pN+) and rates of lymphedema to determine if omission of routine axillary staging could be extended to younger patients with ER+/cN0 disease. We found that rates of pN+ and arm lymphedema were similar between patients 55-69yo and ≥70yo, with rates of lymphedema exceeding rates of pN+ for clinical stage T1c and smaller disease. Data from our NLU model suggest that omission of SLNB might be extended beyond Choosing Wisely recommendations, limited to those over 70 years old, to all postmenopausal women with early-stage ER+/cN0 disease. These data support the recently-reported SOUND trial results and provide additional granularity to facilitate surgical de-escalation.
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Affiliation(s)
- Neil Carleton
- Women’s Cancer Research Center, UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Magee Women’s Research Institute, Pittsburgh, PA, USA
| | | | - Priscilla F. McAuliffe
- Division of Breast Surgical Oncology, Department of Surgery, University of Pittsburgh School of Medicine, PA, USA
| | - Atilla Soran
- Division of Breast Surgical Oncology, Department of Surgery, University of Pittsburgh School of Medicine, PA, USA
| | - Steffi Oesterreich
- Women’s Cancer Research Center, UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Magee Women’s Research Institute, Pittsburgh, PA, USA
- Department of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Adrian V. Lee
- Women’s Cancer Research Center, UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Magee Women’s Research Institute, Pittsburgh, PA, USA
- Department of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Emilia J. Diego
- Division of Breast Surgical Oncology, Department of Surgery, University of Pittsburgh School of Medicine, PA, USA
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Morrow M. Is Axillary Staging Obsolete in Early Breast Cancer? Surg Oncol Clin N Am 2023; 32:675-691. [PMID: 37714636 DOI: 10.1016/j.soc.2023.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/17/2023]
Abstract
This article reviews the incidence of nodal metastases in early-stage breast cancer and the need for axillary staging to maintain local control in the axilla or to determine the need for adjuvant systemic therapy across the spectrum of patients with breast cancer, and reviews clinical trials addressing this question. At present, sentinel lymph node biopsy should be omitted in women age ≥70 years with cT1-2 N0, HR+/HER2- cancers. The importance of nodal status in selecting patients for radiotherapy remains the main reason for axillary staging in younger postmenopausal women with cT1-2N0, HR+/HER2- cancers.
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Affiliation(s)
- Monica Morrow
- Breast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 300 East 66th Street, New York, NY 10065, USA.
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Amlicke MJ, Spanheimer PM. ASO Author Reflections: Can Genomic Recurrence Score Replace SLNB in Postmenopausal Women with ER+/HER2- Breast Cancer? Ann Surg Oncol 2022; 29:7670-7671. [PMID: 35831528 DOI: 10.1245/s10434-022-12175-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 06/25/2022] [Indexed: 11/18/2022]
Affiliation(s)
- Maire J Amlicke
- Department of Surgery, University of North Carolina, Chapel Hill, NC, USA
| | - Philip M Spanheimer
- Department of Surgery, University of North Carolina, Chapel Hill, NC, USA. .,Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.
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