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Bhimani F, Lin S, McEvoy M, Cavalli A, Obaid L, Chen Y, Gupta A, Pastoriza J, Shihabi A, Feldman S. Does Nipple-Ward Positive Margin Contribute to a Higher Rate of Re-Excision Procedures After a Lumpectomy with Pathology-Confirmed Positive Margins? A Retrospective Study. BREAST CANCER (DOVE MEDICAL PRESS) 2024; 16:41-50. [PMID: 38405107 PMCID: PMC10894517 DOI: 10.2147/bctt.s425863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 11/10/2023] [Indexed: 02/27/2024]
Abstract
Background Positive margins on lumpectomy specimens are associated with a twofold increased risk of local breast tumor recurrence. Prior literature has demonstrated various techniques and modalities for assessing margin status to reduce re-excision rates. However, there is paucity of literature analyzing which margin contributes to the highest re-excision rates. Therefore, the primary aim of the study was to investigate whether the nipple-ward margins resulted in a higher rate of re-excision in our patient population. Methods A retrospective chart review was performed on patients who had re-excision surgery. Nipple-ward margin was identified by correlating radiological and pathological reports. A cut-off of more than 25% was used to demonstrate correlation between nipple-ward margin and re-excision rate. Results A total of 98 patients' data were analyzed, with 41 (41.8%), 14 (14.3%), 5 (5.1%), and 38 (38.8%) diagnosed with DCIS, IDC, ILC, and mixed pathology on their margins, respectively. Overall, 48% (n=47) of the positive margins were nipple-ward, with 44.7% (n=21) reporting DCIS. Upon stratification, 45 (45.9%) cases were single-margin positive, with 26 (57.8%) being nipple-ward. Furthermore, the remaining 53 (54.1%) patients had multiple positive margins, with 21 (39.6.7%) nipple-ward cases. Conclusion Positive nipple-ward margins significantly contribute to a higher re-excision rate p < 0.001; 48% of re-excision surgeries had positive nipple-ward margins, and 57.8% of positive single-margin cases were nipple-ward. Taking an additional shave during initial lumpectomy decreases re-excision rates. However, planning a lumpectomy procedure with a more elliptical rather than a spherical resection with additional cavity shave (ie, larger volume) in the nipple-ward direction and minimizing the remaining cavity shaves so the total volume resected remains unchanged. Nevertheless, future studies with larger sample sizes are required to bolster our findings.
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Affiliation(s)
- Fardeen Bhimani
- Breast Surgery Division, Department of Surgery, Montefiore Medical Center, Montefiore Einstein Center for Cancer Care, Bronx, New York, USA
| | - Sophie Lin
- Breast Surgery Division, Department of Surgery, Montefiore Medical Center, Montefiore Einstein Center for Cancer Care, Bronx, New York, USA
| | - Maureen McEvoy
- Breast Surgery Division, Department of Surgery, Montefiore Medical Center, Montefiore Einstein Center for Cancer Care, Bronx, New York, USA
- Albert Einstein College of Medicine, Bronx, New York, USA
| | | | - Liane Obaid
- Albert Einstein College of Medicine, Bronx, New York, USA
| | - Yu Chen
- Breast Surgery Division, Department of Surgery, Montefiore Medical Center, Montefiore Einstein Center for Cancer Care, Bronx, New York, USA
| | - Anjuli Gupta
- Breast Surgery Division, Department of Surgery, Montefiore Medical Center, Montefiore Einstein Center for Cancer Care, Bronx, New York, USA
- Albert Einstein College of Medicine, Bronx, New York, USA
| | - Jessica Pastoriza
- Breast Surgery Division, Department of Surgery, Montefiore Medical Center, Montefiore Einstein Center for Cancer Care, Bronx, New York, USA
- Albert Einstein College of Medicine, Bronx, New York, USA
| | - Areej Shihabi
- Breast Surgery Division, Department of Surgery, Montefiore Medical Center, Montefiore Einstein Center for Cancer Care, Bronx, New York, USA
| | - Sheldon Feldman
- Breast Surgery Division, Department of Surgery, Montefiore Medical Center, Montefiore Einstein Center for Cancer Care, Bronx, New York, USA
- Albert Einstein College of Medicine, Bronx, New York, USA
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Dao E, Gohla G, Williams P, Lovrics P, Badr F, Fang Q, Farrell TJ, Farquharson MJ. Multivariate analysis of breast tissue using optical parameters extracted from a combined time-resolved fluorescence and diffuse reflectance system for tumor margin detection. JOURNAL OF BIOMEDICAL OPTICS 2023; 28:085001. [PMID: 37621419 PMCID: PMC10445658 DOI: 10.1117/1.jbo.28.8.085001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 07/20/2023] [Accepted: 07/25/2023] [Indexed: 08/26/2023]
Abstract
Significance Breast conservation therapy is the preferred technique for treating primary breast cancers. However, breast tumor margins are hard to determine as tumor borders are often ill-defined. As such, there exists a need for a clinically compatible tumor margin detection system. Aim A combined time-resolved fluorescence and diffuse reflectance (TRF-DR) system has been developed to determine the optical properties of breast tissue. This study aims to improve tissue classification to aid in surgical decision making. Approach Normal and tumor breast tissue were collected from 80 patients with invasive ductal carcinoma and measured in the optical system. Optical parameters were extracted, and the tissue underwent histopathological examination. In total, 761 adipose, 77 fibroglandular, and 347 tumor spectra were analyzed. Principal component analysis and decision tree modeling were performed using only TRF optical parameters, only DR optical parameters, and using the combined datasets. Results The classification modeling using TRF data alone resulted in a tumor margin detection sensitivity of 72.3% and specificity of 88.3%. Prediction modeling using DR data alone resulted in greater sensitivity and specificity of 80.4% and 94.0%, respectively. Combining both datasets resulted in the improved sensitivity and specificity of 85.6% and 95.3%, respectively. While both sensitivity and specificity improved with the combined modeling, further study of fibroglandular tissue could result in improved classification. Conclusion The combined TRF-DR system showed greater tissue classification capability than either technique alone. Further work studying more fibroglandular tissue and tissue of mixed composition would develop this system for intraoperative use for tumor margin detection.
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Affiliation(s)
- Erica Dao
- McMaster University, Department of Physics and Astronomy, Hamilton, Ontario, Canada
| | - Gabriella Gohla
- St. Joseph’s Healthcare, Hamilton, Ontario, Canada
- McMaster University, Department of Pathology and Molecular Medicine, Hamilton, Ontario, Canada
| | - Phillip Williams
- St. Joseph’s Healthcare, Hamilton, Ontario, Canada
- McMaster University, Department of Pathology and Molecular Medicine, Hamilton, Ontario, Canada
| | - Peter Lovrics
- St. Joseph’s Healthcare, Hamilton, Ontario, Canada
- McMaster University, Department of Surgery, Hamilton, Ontario, Canada
| | - Fares Badr
- McMaster University, Department of Engineering Physics, Hamilton, Ontario, Canada
| | - Qiyin Fang
- McMaster University, Department of Engineering Physics, Hamilton, Ontario, Canada
| | - Thomas J. Farrell
- McMaster University, School of Interdisciplinary Science, Hamilton, Ontario, Canada
- Juravinski Hospital and Cancer Center, Hamilton, Ontario, Canada
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Schäfgen B, Haller A, Sinn HP, Feisst M, Gomez C, Stieber A, Nees J, Togawa R, Pfob A, Hennigs A, Hederer J, Riedel F, Fastner S, Heil J, Golatta M. Conventional specimen radiography in breast-conserving therapy: a useful tool for intraoperative margin assessment after neoadjuvant therapy? Breast Cancer Res Treat 2023:10.1007/s10549-023-06976-2. [PMID: 37302085 DOI: 10.1007/s10549-023-06976-2] [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: 02/22/2023] [Accepted: 05/06/2023] [Indexed: 06/13/2023]
Abstract
PURPOSE A previous study in our breast unit showed that the diagnostic accuracy of intraoperative specimen radiography and its potential to reduce second surgeries in a cohort of patients treated with neoadjuvant chemotherapy were low, which questions the routine use of Conventional specimen radiography (CSR) in this patient group. This is a follow-up study in a larger cohort to further evaluate these findings. METHODS This retrospective study included 376 cases receiving breast-conserving surgery (BCS) after neoadjuvant chemotherapy (NACT) of primary breast cancer. CSR was performed to assess potential margin infiltration and recommend an intraoperative re-excision of any radiologically positive margin. The histological workup of the specimen served as gold standard for the evaluation of the accuracy of CSR and the potential reduction of second surgeries by CSR-guided re-excisions. RESULTS 362 patients with 2172 margins were assessed. The prevalence of positive margins was 102/2172 (4.7%). CSR had a sensitivity of 37.3%, a specificity of 85.6%, a positive predictive value (PPV) of 11.3%, and a negative predictive value (NPV) of 96.5%. The rate of secondary procedures was reduced from 75 to 37 with a number needed to treat (NNT) of CSR-guided intraoperative re-excisions of 10. In the subgroup of patients with clinical complete response (cCR), the prevalence of positive margins was 38/1002 (3.8%), PPV was 6.5% and the NNT was 34. CONCLUSION This study confirms our previous finding that the rate of secondary surgeries cannot be significantly reduced by CSR-guided intraoperative re-excisions in cases with cCR after NACT. The routine use CSR after NACT is questionable, and alternative tools of intraoperative margin assessment should be evaluated.
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Affiliation(s)
- Benedikt Schäfgen
- Department of Gynecology and Obstetrics, Breast Unit, University Hospital, 69120, Heidelberg, Germany
| | - Annabelle Haller
- Department of Gynecology and Obstetrics, Breast Unit, University Hospital, 69120, Heidelberg, Germany
| | - Hans-Peter Sinn
- Department of Pathology, University of Heidelberg, Heidelberg, Germany
- Institute of Pathology, University Hospital, INF 224, 69120, Heidelberg, Germany
| | - Manuel Feisst
- Institute for Medical Biometry, University of Heidelberg, INF 130.3, 69120, Heidelberg, Germany
| | - Christina Gomez
- Brustzentrum Heidelberg Klinik St. Elisabeth, Max-Reger-Straße 5-7, 69121, Heidelberg, Germany
| | - Anne Stieber
- Department of Radiology, University of Heidelberg, Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital, INF 110, 69120, Heidelberg, Germany
| | - Juliane Nees
- Department of Gynecology and Obstetrics, Breast Unit, University Hospital, 69120, Heidelberg, Germany
| | - Riku Togawa
- Department of Gynecology and Obstetrics, Breast Unit, University Hospital, 69120, Heidelberg, Germany
| | - André Pfob
- Department of Gynecology and Obstetrics, Breast Unit, University Hospital, 69120, Heidelberg, Germany
| | - André Hennigs
- Brustzentrum Heidelberg Klinik St. Elisabeth, Max-Reger-Straße 5-7, 69121, Heidelberg, Germany
| | - Johanna Hederer
- Department of Gynecology and Obstetrics, Breast Unit, University Hospital, 69120, Heidelberg, Germany
| | - Fabian Riedel
- Department of Gynecology and Obstetrics, Breast Unit, University Hospital, 69120, Heidelberg, Germany
| | - Sarah Fastner
- Brustzentrum Heidelberg Klinik St. Elisabeth, Max-Reger-Straße 5-7, 69121, Heidelberg, Germany
| | - Jörg Heil
- Department of Gynecology and Obstetrics, Breast Unit, University Hospital, 69120, Heidelberg, Germany
- Brustzentrum Heidelberg Klinik St. Elisabeth, Max-Reger-Straße 5-7, 69121, Heidelberg, Germany
| | - Michael Golatta
- Department of Gynecology and Obstetrics, Breast Unit, University Hospital, 69120, Heidelberg, Germany.
- Brustzentrum Heidelberg Klinik St. Elisabeth, Max-Reger-Straße 5-7, 69121, Heidelberg, Germany.
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