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Veluponnar D, de Boer LL, Dashtbozorg B, Jong LJS, Geldof F, Guimaraes MDS, Sterenborg HJCM, Vrancken-Peeters MJTFD, van Duijnhoven F, Ruers T. Margin assessment during breast conserving surgery using diffuse reflectance spectroscopy. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:045006. [PMID: 38665316 PMCID: PMC11045169 DOI: 10.1117/1.jbo.29.4.045006] [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: 02/03/2024] [Revised: 04/03/2024] [Accepted: 04/08/2024] [Indexed: 04/28/2024]
Abstract
Significance During breast-conserving surgeries, it is essential to evaluate the resection margins (edges of breast specimen) to determine whether the tumor has been removed completely. In current surgical practice, there are no methods available to aid in accurate real-time margin evaluation. Aim In this study, we investigated the diagnostic accuracy of diffuse reflectance spectroscopy (DRS) combined with tissue classification models in discriminating tumorous tissue from healthy tissue up to 2 mm in depth on the actual resection margin of in vivo breast tissue. Approach We collected an extensive dataset of DRS measurements on ex vivo breast tissue and in vivo breast tissue, which we used to develop different classification models for tissue classification. Next, these models were used in vivo to evaluate the performance of DRS for tissue discrimination during breast conserving surgery. We investigated which training strategy yielded optimum results for the classification model with the highest performance. Results We achieved a Matthews correlation coefficient of 0.76, a sensitivity of 96.7% (95% CI 95.6% to 98.2%), a specificity of 90.6% (95% CI 86.3% to 97.9%) and an area under the curve of 0.98 by training the optimum model on a combination of ex vivo and in vivo DRS data. Conclusions DRS allows real-time margin assessment with a high sensitivity and specificity during breast-conserving surgeries.
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Affiliation(s)
- Dinusha Veluponnar
- Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands
- University of Twente, Department of Nanobiophysics, Faculty of Science and Technology, Enschede, The Netherlands
| | - Lisanne L. de Boer
- Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands
| | - Behdad Dashtbozorg
- Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands
| | - Lynn-Jade S. Jong
- Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands
- University of Twente, Department of Nanobiophysics, Faculty of Science and Technology, Enschede, The Netherlands
| | - Freija Geldof
- Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands
- University of Twente, Department of Nanobiophysics, Faculty of Science and Technology, Enschede, The Netherlands
| | - Marcos Da Silva Guimaraes
- Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Pathology, Amsterdam, The Netherlands
| | - Henricus J. C. M. Sterenborg
- Amsterdam University Medical Center, Department of Biomedical Engineering and Physics, Amsterdam, The Netherlands
| | | | - Frederieke van Duijnhoven
- Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands
| | - Theo Ruers
- Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands
- University of Twente, Department of Nanobiophysics, Faculty of Science and Technology, Enschede, The Netherlands
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Palimaru Manhoobi I, Tramm T, Redsted S, Bodilsen A, Foldager L, Christiansen P. Digital breast tomosynthesis versus X-ray of the breast specimen for intraoperative margin assessment: A randomized trial. Breast 2024; 73:103616. [PMID: 38064928 PMCID: PMC10749898 DOI: 10.1016/j.breast.2023.103616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 11/24/2023] [Accepted: 11/28/2023] [Indexed: 12/29/2023] Open
Abstract
BACKGROUND Involved resection margins after breast conserving surgery (BCS) often require a re-operation with increased patient anxiety and risk of impaired cosmesis. We investigated the number of re-operations due to involved resection margins after BCS comparing digital breast tomosynthesis(DBT) with X-ray for intraoperative margin evaluation. Furthermore, we assessed the diagnostic accuracy of these methods to predict histopathological margin status. Finally, we evaluated risk factors for re-operation. METHODS In this randomized, non-blinded study, 250 invasive breast cancer patients were randomized (1:1), whereof 241 were analyzed intraoperatively with either DBT (intervention, n = 119) or X-ray (standard, n = 122). Pearson's chi-squared test, Fisher's exact test, t-test, logistic and ordinal regression analysis was used as appropriate. RESULTS No difference was found in the number of re-operations between the DBT and X-ray group (16.8 % vs 19.7 %, p = 0.57), or in diagnostic accuracy to predict histopathological margin status (77.5 %, CI: 68.6-84.9 %) and (67.3 %, CI: 57.7-75.9 %), respectively. We evaluated 5 potential risk factors for re-operation: Ductal carcinoma in situ (DCIS) outside tumor, OR = 9.4 (CI: 4.3-20.6, p < 0.001); high mammographic breast density, OR = 6.1 (CI: 1.0-38.1, p = 0.047); non-evaluable margins on imaging, OR = 3.8 (CI: 1.3-10.8, p = 0.016); neoadjuvant chemotherapy, OR = 3.0 (CI: 1.0-8.8, p = 0.048); and T2 tumor-size, OR = 2.6 (CI: 1.0-6.4, p = 0.045). CONCLUSIONS No difference was found in the number of re-operations or in diagnostic accuracy to predict histopathological margin status between DBT and X-ray groups. DCIS outside the tumor showed the highest risk of re-operation. Intraoperative methods with improved visualization of DCIS are needed to obtain tumor free margins in BCS.
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Affiliation(s)
- Irina Palimaru Manhoobi
- Department of Radiology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
| | - Trine Tramm
- Department of Pathology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Søren Redsted
- Department of Radiology, Aarhus University Hospital, Aarhus, Denmark
| | - Anne Bodilsen
- Department of Abdominal Surgery, Aarhus University Hospital, Aarhus, Denmark
| | - Leslie Foldager
- Department of Animal and Veterinary Sciences, Aarhus University, Tjele, Denmark; Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Peer Christiansen
- Department of Plastic- and Breast Surgery, Aarhus University Hospital, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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David S, Tran T, Dallaire F, Sheehy G, Azzi F, Trudel D, Tremblay F, Omeroglu A, Leblond F, Meterissian S. In situ Raman spectroscopy and machine learning unveil biomolecular alterations in invasive breast cancer. JOURNAL OF BIOMEDICAL OPTICS 2023; 28:036009. [PMID: 37009577 PMCID: PMC10062385 DOI: 10.1117/1.jbo.28.3.036009] [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: 11/04/2022] [Accepted: 02/27/2023] [Indexed: 06/19/2023]
Abstract
SIGNIFICANCE As many as 60% of patients with early stage breast cancer undergo breast-conserving surgery. Of those, 20% to 35% need a second surgery because of incomplete resection of the lesions. A technology allowing in situ detection of cancer could reduce re-excision procedure rates and improve patient survival. AIM Raman spectroscopy was used to measure the spectral fingerprint of normal breast and cancer tissue ex-vivo. The aim was to build a machine learning model and to identify the biomolecular bands that allow one to detect invasive breast cancer. APPROACH The system was used to interrogate specimens from 20 patients undergoing lumpectomy, mastectomy, or breast reduction surgery. This resulted in 238 ex-vivo measurements spatially registered with standard histology classifying tissue as cancer, normal, or fat. A technique based on support vector machines led to the development of predictive models, and their performance was quantified using a receiver-operating-characteristic analysis. RESULTS Raman spectroscopy combined with machine learning detected normal breast from ductal or lobular invasive cancer with a sensitivity of 93% and a specificity of 95%. This was achieved using a model based on only two spectral bands, including the peaks associated with C-C stretching of proteins around 940 cm - 1 and the symmetric ring breathing at 1004 cm - 1 associated with phenylalanine. CONCLUSIONS Detection of cancer on the margins of surgically resected breast specimen is feasible with Raman spectroscopy.
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Affiliation(s)
- Sandryne David
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Trang Tran
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Frédérick Dallaire
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Guillaume Sheehy
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Feryel Azzi
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Dominique Trudel
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Université de Montréal, Department of Pathology and Cellular Biology, Montreal, Quebec, Canada
| | - Francine Tremblay
- McGill University Health Center, Department of Surgery, Montreal, Quebec, Canada
| | - Atilla Omeroglu
- McGill University Health Center, Department of Pathology, Montreal, Quebec, Canada
| | - Frédéric Leblond
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
| | - Sarkis Meterissian
- McGill University Health Center, Department of Surgery, Montreal, Quebec, Canada
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Assessment of breast cancer surgical margins with multimodal optical microscopy: A feasibility clinical study. PLoS One 2021; 16:e0245334. [PMID: 33571221 PMCID: PMC7877783 DOI: 10.1371/journal.pone.0245334] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 12/28/2020] [Indexed: 11/18/2022] Open
Abstract
Providing surgical margin information during breast cancer surgery is crucial for the success of the procedure. The margin is defined as the distance from the tumor to the cut surface of the resection specimen. The consensus among surgeons and radiation oncologists is that there should be no tumor left within 1 to maximum 2 mm from the surface of the surgical specimen. If a positive margin remains, there is substantial risk for tumor recurrence, which may also result in potentially reduced cosmesis and eventual need for mastectomy. In this paper we report a novel multimodal optical imaging instrument based on combined high-resolution confocal microscopy-optical coherence tomography imaging for assessing the presence of potential positive margins on surgical specimens. Since rapid specimen analysis is critical during surgery, this instrument also includes a fluorescence imaging channel to enable rapid identification of the areas of the specimen that have potential positive margins. This is possible by specimen incubation with a cancer specific agent prior to imaging. In this study we used a quenched contrast agent, which is activated by cancer specific enzymes, such as urokinase plasminogen activators (uPA). Using this agent or a similar one, one may limit the use of high-resolution optical imaging to only fluorescence-highlighted areas for visualizing tissue morphology at the sub-cellular scale and confirming or ruling out cancer presence. Preliminary evaluation of this technology was performed on 20 surgical specimens and testing of the optical imaging findings was performed against histopathology. The combination of the three imaging modes allowed for high correlation between optical image analysis and histological ground-truth. The initial results are encouraging, showing instrument capability to assess margins on clinical specimens with a positive predictive value of 1.0 and a negative predictive value of 0.83.
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Balasundaram G, Goh Y, Moothanchery M, Attia A, Lim HQ, Burton NC, Qiu Y, Putti TC, Chan CW, Hartmann M, Quek ST, Olivo M. Optoacoustic characterization of breast conserving surgery specimens - A pilot study. PHOTOACOUSTICS 2020; 19:100164. [PMID: 32420026 PMCID: PMC7215246 DOI: 10.1016/j.pacs.2020.100164] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2019] [Revised: 01/22/2020] [Accepted: 01/28/2020] [Indexed: 05/04/2023]
Abstract
In this pilot study, we tested an ultrasound-guided optoacoustic tomography (US-OT) two-dimensional (2D) array scanner to understand the optoacoustic patterns of excised breastconserving surgery (BCS) specimens. We imaged 14 BCS specimens containing malignant tumors at eight wavelengths spanning 700-1100 nm. Spectral unmixing across multiple wavelengths allowed for visualizing major intrinsic chromophores in the breast tissue including hemoglobin and lipid up to a depth of 7 mm. We identified less/no lipid signals within the tumor and intense deoxy-hemoglobin (Hb) signals on the rim of the tumor as unique characteristics of malignant tumors in comparison to no tumor region. We also observed continuous broad lipid signals as features of negative margins and compromised lipid signals interrupted by vasculature as features of positive margins. These differentiating patterns can form the basis of US-OT to be explored as an alternate, fast and efficient intraoperative method for evaluation of tumor resection margins.
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Affiliation(s)
| | - Yonggeng Goh
- Department of Diagnostic Imaging, National University Hospital, Singapore
| | - Mohesh Moothanchery
- Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium, Singapore
| | - Amalina Attia
- Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium, Singapore
| | - Hann Qian Lim
- Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium, Singapore
| | | | - Yi Qiu
- iThera Medical GmbH, Germany
| | | | - Ching Wan Chan
- Department of Breast Surgery, National University Hospital, Singapore
| | - Mikael Hartmann
- Department of Breast Surgery, National University Hospital, Singapore
| | - Swee Tian Quek
- Department of Diagnostic Imaging, National University Hospital, Singapore
| | - Malini Olivo
- Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium, Singapore
- Corresponding author at: Singapore Bioimaging Consortium (SBIC). A⁎STAR Research Entities, 11 Biopolis Way, #02-02 Helios, 138667, Singapore.
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Pradipta AR, Tanei T, Morimoto K, Shimazu K, Noguchi S, Tanaka K. Emerging Technologies for Real-Time Intraoperative Margin Assessment in Future Breast-Conserving Surgery. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2020; 7:1901519. [PMID: 32382473 PMCID: PMC7201251 DOI: 10.1002/advs.201901519] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 01/16/2020] [Accepted: 02/14/2020] [Indexed: 05/23/2023]
Abstract
Clean surgical margins in breast-conserving surgery (BCS) are essential for preventing recurrence. Intraoperative pathologic diagnostic methods, such as frozen section analysis and imprint cytology, have been recognized as crucial tools in BCS. However, the complexity and time-consuming nature of these pathologic procedures still inhibit their broader applicability worldwide. To address this situation, two issues should be considered: 1) the development of nonpathologic intraoperative diagnosis methods that have better sensitivity, specificity, speed, and cost; and 2) the promotion of new imaging algorithms to standardize data for analyzing positive margins, as represented by artificial intelligence (AI), without the need for judgment by well-trained pathologists. Researchers have attempted to develop new methods or techniques; several have recently emerged for real-time intraoperative management of breast margins in live tissues. These methods include conventional imaging, spectroscopy, tomography, magnetic resonance imaging, microscopy, fluorescent probes, and multimodal imaging techniques. This work summarizes the traditional pathologic and newly developed techniques and discusses the advantages and disadvantages of each method. Taking into consideration the recent advances in analyzing pathologic data from breast cancer tissue with AI, the combined use of new technologies with AI algorithms is proposed, and future directions for real-time intraoperative margin assessment in BCS are discussed.
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Affiliation(s)
- Ambara R. Pradipta
- Biofunctional Synthetic Chemistry LaboratoryRIKEN Cluster for Pioneering Research2‐1 HirosawaWakoSaitama351‐0198Japan
- School of Materials and Chemical TechnologyDepartment of Chemical Science and EngineeringTokyo Institute of Technology2‐12‐1 Ookayama, Meguro‐kuTokyo152‐8552Japan
| | - Tomonori Tanei
- Department of Breast and Endocrine SurgeryGraduate School of MedicineOsaka University2‐2‐E10 Yamadaoka, SuitaOsaka565‐0871Japan
| | - Koji Morimoto
- Biofunctional Synthetic Chemistry LaboratoryRIKEN Cluster for Pioneering Research2‐1 HirosawaWakoSaitama351‐0198Japan
| | - Kenzo Shimazu
- Department of Breast and Endocrine SurgeryGraduate School of MedicineOsaka University2‐2‐E10 Yamadaoka, SuitaOsaka565‐0871Japan
| | - Shinzaburo Noguchi
- Department of Breast and Endocrine SurgeryGraduate School of MedicineOsaka University2‐2‐E10 Yamadaoka, SuitaOsaka565‐0871Japan
| | - Katsunori Tanaka
- Biofunctional Synthetic Chemistry LaboratoryRIKEN Cluster for Pioneering Research2‐1 HirosawaWakoSaitama351‐0198Japan
- School of Materials and Chemical TechnologyDepartment of Chemical Science and EngineeringTokyo Institute of Technology2‐12‐1 Ookayama, Meguro‐kuTokyo152‐8552Japan
- Biofunctional Chemistry LaboratoryA. Butlerov Institute of ChemistryKazan Federal University18 Kremlyovskaya StreetKazan420008Russia
- GlycoTargeting Research LaboratoryRIKEN Baton Zone Program2‐1 HirosawaWakoSaitama351‐0198Japan
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7
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Chen Y, Xie W, Glaser AK, Reder NP, Mao C, Dintzis SM, Vaughan JC, Liu JTC. Rapid pathology of lumpectomy margins with open-top light-sheet (OTLS) microscopy. BIOMEDICAL OPTICS EXPRESS 2019; 10:1257-1272. [PMID: 30891344 PMCID: PMC6420271 DOI: 10.1364/boe.10.001257] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 01/11/2019] [Accepted: 01/25/2019] [Indexed: 05/18/2023]
Abstract
Open-top light-sheet microscopy is a technique that can potentially enable rapid ex vivo inspection of large tissue surfaces and volumes. Here, we have optimized an open-top light-sheet (OTLS) microscope and image-processing workflow for the comprehensive examination of surgical margin surfaces, and have also developed a novel fluorescent analog of H&E staining that is robust for staining fresh unfixed tissues. Our tissue-staining method can be achieved within 2.5 minutes followed by OTLS microscopy of lumpectomy surfaces at a rate of up to 1.5 cm2/minute. An image atlas is presented to show that OTLS image quality surpasses that of intraoperative frozen sectioning and can approximate that of gold-standard H&E histology of formalin-fixed paraffin-embedded (FFPE) tissues. Qualitative evidence indicates that these intraoperative methods do not interfere with downstream post-operative H&E histology and immunohistochemistry. These results should facilitate the translation of OTLS microscopy for intraoperative guidance of lumpectomy and other surgical oncology procedures.
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Affiliation(s)
- Ye Chen
- Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA
- These authors contributed equally
| | - Weisi Xie
- Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA
- These authors contributed equally
| | - Adam K. Glaser
- Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA
| | - Nicholas P. Reder
- Department of Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Chenyi Mao
- Department of Chemistry, University of Washington Seattle, WA 98195, USA
| | - Suzanne M. Dintzis
- Department of Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Joshua C. Vaughan
- Department of Chemistry, University of Washington Seattle, WA 98195, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA
| | - Jonathan T. C. Liu
- Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA
- Department of Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA
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Kang S, Xu X, Navarro E, Wang Y, Liu JTC, Tichauer KM. Modeling the binding and diffusion of receptor-targeted nanoparticles topically applied on fresh tissue specimens. Phys Med Biol 2019; 64:045013. [PMID: 30654346 DOI: 10.1088/1361-6560/aaff81] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Nanoparticle (NP) contrast agents targeted to cancer biomarkers are increasingly being engineered for the early detection of cancer, guidance of therapy, and monitoring of response. There have been recent efforts to topically apply biomarker-targeted NPs on tissue surfaces to image the expression of cell-surface receptors over large surface areas as a means of evaluating tumor margins to guide wide local excision surgeries. However, diffusion and nonspecific binding of the NPs present challenges for relating NP retention on the tissue surface with the expression of cancer cell receptors. Paired-agent methods that employ a secondary 'control' NP to account for these nonspecific effects can improve cancer detection. Yet these paired-agent methods introduce multidimensional complexity (with tissue staining, rinsing, imaging, and data analysis protocols all being subject to alteration), and could be greatly simplified with accurate, predictive in silico models of NP binding and diffusion. Here, we outline and validate such a model to predict the diffusion, as well as specific and nonspecific binding, of targeted and control NPs topically applied on tissue surfaces. In order to inform the model, in vitro experiments were performed to determine relevant NP diffusion and binding rate constants in tissues. The predictive capacity of the model was validated by comparing simulated distributions of various sizes of NPs in comparison with experimental results. The regression of predicted and experimentally measured concentration-depth profiles yielded <15% error (compared to ~70% error obtained using a previous model of NP diffusion and binding).
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Affiliation(s)
- Soyoung Kang
- Department of Mechanical Engineering, University of Washington, Seattle, WA 98105, United States of America. These authors contributed equally to this work
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McEvoy MP, Landercasper J, Naik HR, Feldman S. Update of the American Society of Breast Surgeons Toolbox to address the lumpectomy reoperation epidemic. Gland Surg 2018; 7:536-553. [PMID: 30687627 DOI: 10.21037/gs.2018.11.03] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
In 2015, the American Society of Breast Surgeons (ASBrS) convened a multidisciplinary consensus conference, the Collaborative Attempt to Lower Lumpectomy Reoperation Rates (CALLER). The CALLER conference endorsed a "toolbox" of multiple processes of care for which there was evidence that they were associated with fewer reoperations. We present an update of the toolbox taking into consideration the latest advances in decreasing re excision rates. In this review, we performed a comprehensive review of the literature from 2015-2018 using search terms for each tool. The original ten tools were updated with the latest evidence from the literature and our strength of recommendation. We added an additional section looking at new tools and techniques that may provide more accurate intraoperative assessment of margins. The updates on the CALLER Toolbox for lumpectomy will help guide surgeons to various resources to aid in the removal of breast cancer, while being aware of cosmesis and decreasing re excision rates.
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Affiliation(s)
- Maureen P McEvoy
- Montefiore Medical Center, Montefiore Einstein Center for Cancer Care, Bronx, NY, USA
| | - Jeffrey Landercasper
- Gundersen Health System, Norma J. Vinger Center for Breast Cancer, La Crosse, WI, USA
| | - Himani R Naik
- Gundersen Health System, Norma J. Vinger Center for Breast Cancer, La Crosse, WI, USA
| | - Sheldon Feldman
- Montefiore Medical Center, Montefiore Einstein Center for Cancer Care, Bronx, NY, USA
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10
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Carlino G, Rinaldi P, Giuliani M, Rella R, Bufi E, Padovano F, Ciardi C, Romani M, Belli P, Manfredi R. Ultrasound-guided preoperative localization of breast lesions: a good choice. J Ultrasound 2018; 22:85-94. [PMID: 30367356 DOI: 10.1007/s40477-018-0335-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2018] [Accepted: 10/11/2018] [Indexed: 12/31/2022] Open
Abstract
PURPOSE The aim of the study was to verify whether ultrasound (US)-guided preoperative localization of breast lesions is an adequate technique for correct and safe surgical resection and to contribute positively and effectively to this topic in the literature with our results. METHODS From June 2016 to November 2016, 155 patients with both benign and malignant breast lesions were selected from our institute to undergo US localization before surgery. The lesions included were: sonographically visible and nonpalpable lesions; palpable lesions for which a surgeon had requested US localization to better evaluate the site and extension; sonographically visible, multifocal breast lesions, both palpable and nonpalpable. US localization was performed using standard linear transducers (Siemens 18 L6, 5.5-8 MHz, 5.6 cm, ACUSON S2000 System, Siemens Medical Solutions). The radiologist used a skin pen to mark the site of the lesion, and the reported lesion's depth and distance from the nipple and pectoral muscle were recorded. The lesions were completely excised by a team of breast surgeons, and the surgical specimens were sent to the Radiology Department for radiological evaluation and to the Pathology Department for histological assessment. RESULTS In 155 patients who underwent to preoperative US localization, 188 lesions were found, and the location of each lesion was marked with a skin pen. A total of 181 lesions were confirmed by the final histopathologic exam (96.28%); 132 of them (72.92%) were malignant, and 124 of these (93.93%) showed free margins. CONCLUSIONS US-guided preoperative localization of sonographically visible breast lesions is a simple and nontraumatic procedure with high specificity and is a useful tool for obtaining accurate surgical margins.
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Affiliation(s)
- Giorgio Carlino
- Department of Radiology, Fondazione Policlinico A. Gemelli IRCCS - Università Cattolica Sacro Cuore, Largo Agostino Gemelli 8, 00168, Rome, Italy.
| | - Pierluigi Rinaldi
- Department of Radiology, Fondazione Policlinico A. Gemelli IRCCS - Università Cattolica Sacro Cuore, Largo Agostino Gemelli 8, 00168, Rome, Italy
| | - Michela Giuliani
- Department of Radiology, Fondazione Policlinico A. Gemelli IRCCS - Università Cattolica Sacro Cuore, Largo Agostino Gemelli 8, 00168, Rome, Italy
| | - Rossella Rella
- Department of Radiology, Fondazione Policlinico A. Gemelli IRCCS - Università Cattolica Sacro Cuore, Largo Agostino Gemelli 8, 00168, Rome, Italy
| | - Enida Bufi
- Department of Radiology, Fondazione Policlinico A. Gemelli IRCCS - Università Cattolica Sacro Cuore, Largo Agostino Gemelli 8, 00168, Rome, Italy
| | - Federico Padovano
- Department of Radiology, Fondazione Policlinico A. Gemelli IRCCS - Università Cattolica Sacro Cuore, Largo Agostino Gemelli 8, 00168, Rome, Italy
| | - Chiara Ciardi
- Department of Radiology, Fondazione Policlinico A. Gemelli IRCCS - Università Cattolica Sacro Cuore, Largo Agostino Gemelli 8, 00168, Rome, Italy
| | - Maurizio Romani
- Department of Radiology, Fondazione Policlinico A. Gemelli IRCCS - Università Cattolica Sacro Cuore, Largo Agostino Gemelli 8, 00168, Rome, Italy
| | - Paolo Belli
- Department of Radiology, Fondazione Policlinico A. Gemelli IRCCS - Università Cattolica Sacro Cuore, Largo Agostino Gemelli 8, 00168, Rome, Italy
| | - Riccardo Manfredi
- Department of Radiology, Fondazione Policlinico A. Gemelli IRCCS - Università Cattolica Sacro Cuore, Largo Agostino Gemelli 8, 00168, Rome, Italy
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11
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Maloney BW, McClatchy DM, Pogue BW, Paulsen KD, Wells WA, Barth RJ. Review of methods for intraoperative margin detection for breast conserving surgery. JOURNAL OF BIOMEDICAL OPTICS 2018; 23:1-19. [PMID: 30369108 PMCID: PMC6210801 DOI: 10.1117/1.jbo.23.10.100901] [Citation(s) in RCA: 71] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Accepted: 10/03/2018] [Indexed: 05/18/2023]
Abstract
Breast conserving surgery (BCS) is an effective treatment for early-stage cancers as long as the margins of the resected tissue are free of disease according to consensus guidelines for patient management. However, 15% to 35% of patients undergo a second surgery since malignant cells are found close to or at the margins of the original resection specimen. This review highlights imaging approaches being investigated to reduce the rate of positive margins, and they are reviewed with the assumption that a new system would need high sensitivity near 95% and specificity near 85%. The problem appears to be twofold. The first is for complete, fast surface scanning for cellular, structural, and/or molecular features of cancer, in a lumpectomy volume, which is variable in size, but can be large, irregular, and amorphous. A second is for full, volumetric imaging of the specimen at high spatial resolution, to better guide internal radiologic decision-making about the spiculations and duct tracks, which may inform that surfaces are involved. These two demands are not easily solved by a single tool. Optical methods that scan large surfaces quickly are needed with cellular/molecular sensitivity to solve the first problem, but volumetric imaging with high spatial resolution for soft tissues is largely outside of the optical realm and requires x-ray, micro-CT, or magnetic resonance imaging if they can be achieved efficiently. In summary, it appears that a combination of systems into hybrid platforms may be the optimal solution for these two very different problems. This concept must be cost-effective, image specimens within minutes and be coupled to decision-making tools that help a surgeon without adding to the procedure. The potential for optical systems to be involved in this problem is emerging and clinical trials are underway in several of these technologies to see if they could reduce positive margin rates in BCS.
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Affiliation(s)
- Benjamin W. Maloney
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States
| | - David M. McClatchy
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States
| | - Brian W. Pogue
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States
- Geisel School of Medicine, Department of Surgery, Hanover, New Hampshire, United States
- Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, United States
| | - Keith D. Paulsen
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States
- Geisel School of Medicine, Department of Surgery, Hanover, New Hampshire, United States
- Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, United States
| | - Wendy A. Wells
- Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, United States
- Geisel School of Medicine, Department of Pathology and Laboratory Medicine, Hanover, New Hampshire, United States
| | - Richard J. Barth
- Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States
- Geisel School of Medicine, Department of Surgery, Hanover, New Hampshire, United States
- Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, United States
- Geisel School of Medicine, Department of Pathology and Laboratory Medicine, Hanover, New Hampshire, United States
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12
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Evans A, Trimboli RM, Athanasiou A, Balleyguier C, Baltzer PA, Bick U, Camps Herrero J, Clauser P, Colin C, Cornford E, Fallenberg EM, Fuchsjaeger MH, Gilbert FJ, Helbich TH, Kinkel K, Heywang-Köbrunner SH, Kuhl CK, Mann RM, Martincich L, Panizza P, Pediconi F, Pijnappel RM, Pinker K, Zackrisson S, Forrai G, Sardanelli F. Breast ultrasound: recommendations for information to women and referring physicians by the European Society of Breast Imaging. Insights Imaging 2018; 9:449-461. [PMID: 30094592 PMCID: PMC6108964 DOI: 10.1007/s13244-018-0636-z] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Revised: 04/28/2018] [Accepted: 05/14/2018] [Indexed: 11/09/2022] Open
Abstract
This article summarises the information that should be provided to women and referring physicians about breast ultrasound (US). After explaining the physical principles, technical procedure and safety of US, information is given about its ability to make a correct diagnosis, depending on the setting in which it is applied. The following definite indications for breast US in female subjects are proposed: palpable lump; axillary adenopathy; first diagnostic approach for clinical abnormalities under 40 and in pregnant or lactating women; suspicious abnormalities at mammography or magnetic resonance imaging (MRI); suspicious nipple discharge; recent nipple inversion; skin retraction; breast inflammation; abnormalities in the area of the surgical scar after breast conserving surgery or mastectomy; abnormalities in the presence of breast implants; screening high-risk women, especially when MRI is not performed; loco-regional staging of a known breast cancer, when MRI is not performed; guidance for percutaneous interventions (needle biopsy, pre-surgical localisation, fluid collection drainage); monitoring patients with breast cancer receiving neo-adjuvant therapy, when MRI is not performed. Possible indications such as supplemental screening after mammography for women aged 40-74 with dense breasts are also listed. Moreover, inappropriate indications include screening for breast cancer as a stand-alone alternative to mammography. The structure and organisation of the breast US report and of classification systems such as the BI-RADS and consequent management recommendations are illustrated. Information about additional or new US technologies (colour-Doppler, elastography, and automated whole breast US) is also provided. Finally, five frequently asked questions are answered. TEACHING POINTS • US is an established tool for suspected cancers at all ages and also the method of choice under 40. • For US-visible suspicious lesions, US-guided biopsy is preferred, even for palpable findings. • High-risk women can be screened with US, especially when MRI cannot be performed. • Supplemental US increases cancer detection but also false positives, biopsy rate and follow-up exams. • Breast US is inappropriate as a stand-alone screening method.
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Affiliation(s)
- Andrew Evans
- Dundee Cancer Centre, Clinical Research Centre, Ninewells Hospital and Medical School, Tom McDonald Avenue, Dundee, UK
| | - Rubina M Trimboli
- PhD Course in Integrative Biomedical Research, Department of Biomedical Science for Health, Università degli Studi di Milano, Via Mangiagalli, 31, 20133, Milan, Italy
| | - Alexandra Athanasiou
- Breast Imaging Department, MITERA Hospital, 6, Erithrou Stavrou Str. 151 23 Marousi, Athens, Greece
| | - Corinne Balleyguier
- Department of Radiology, Gustave-Roussy Cancer Campus, 114 Rue Edouard Vaillant, 94800, Villejuif, France
| | - Pascal A Baltzer
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Wien, Austria
| | - Ulrich Bick
- Clinic of Radiology, Charité Universitätsmedizin Berlin, 10117, Berlin, Germany
| | - Julia Camps Herrero
- Department of Radiology, University Hospital of La Ribera, Carretera de Corbera, Km 1, 46600, Alzira, Valencia, Spain
| | - Paola Clauser
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Wien, Austria
| | - Catherine Colin
- Radiology Unit, Hospices Civils de Lyon, Centre Hospitalo-Universitaire Femme Mère Enfant, 59 Boulevard Pinel, 69 677, Bron Cedex, France
| | - Eleanor Cornford
- Thirlestaine Breast Centre, Cheltenham General Hospital, Thirlestaine Road, Cheltenham, GL53 7AP, UK
| | - Eva M Fallenberg
- Clinic of Radiology, Charité Universitätsmedizin Berlin, 10117, Berlin, Germany
| | - Michael H Fuchsjaeger
- Division of General Radiology, Department of Radiology, Medical University Graz, Auenbruggerplatz 9, 8036, Graz, Austria
| | - Fiona J Gilbert
- Department of Radiology, University of Cambridge, Cambridge Biomedical Campus, Hills road, Cambridge, CB2 0QQ, UK
| | - Thomas H Helbich
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Wien, Austria
| | - Karen Kinkel
- Institut de Radiologie, Clinique des Grangettes, Chemin des Grangettes 7, 1224, Chêne-Bougeries, Genève, Switzerland
| | | | - Christiane K Kuhl
- University Hospital of Aachen, Rheinisch-Westfälische Technische Hochschule, Pauwelsstraße 30, 52074, Aachen, Germany
| | - Ritse M Mann
- Department of Radiology, Radboud University Nijmegen Medical Centre, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
| | - Laura Martincich
- Unità Operativa Radiodiagnostica, Candiolo Cancer Institute - FPO, IRCCS, Str. Prov. 142, km 3.95, 10060, Candiolo, Turin, Italy
| | - Pietro Panizza
- Breast Imaging Unit, Scientific Institute (IRCCS) Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy
| | - Federica Pediconi
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University, Viale Regina Elena, 324, 00161, Rome, Italy
| | - Ruud M Pijnappel
- Department of Imaging, University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Katja Pinker
- Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Wien, Austria
- Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, 300 E 66th Street, New York, NY, 10065, USA
| | - Sophia Zackrisson
- Diagnostic Radiology, Department of Translational Medicine, Faculty of Medicine, Lund University, Skåne University Hospital Malmö, SE-205 02, Malmö, Sweden
| | - Gabor Forrai
- Department of Radiology, Duna Medical Center, Budapest, Hungary
| | - Francesco Sardanelli
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Morandi 30, 20097, San Donato Milanese, Milan, Italy.
- Unit of Radiology, IRCCS Policlinico San Donato, Via Morandi 30, 20097, San Donato Milanese, Milan, Italy.
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13
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Barth CW, Schaefer JM, Rossi VM, Davis SC, Gibbs SL. Optimizing fresh specimen staining for rapid identification of tumor biomarkers during surgery. Theranostics 2017; 7:4722-4734. [PMID: 29187899 PMCID: PMC5706095 DOI: 10.7150/thno.21527] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 09/18/2017] [Indexed: 12/26/2022] Open
Abstract
RATIONALE Positive margin status due to incomplete removal of tumor tissue during breast conserving surgery (BCS) is a prevalent diagnosis usually requiring a second surgical procedure. These follow-up procedures increase the risk of morbidity and delay the use of adjuvant therapy; thus, significant efforts are underway to develop new intraoperative strategies for margin assessment to eliminate re-excision procedures. One strategy under development uses topical application of dual probe staining and a fluorescence imaging strategy termed dual probe difference specimen imaging (DDSI). DDSI uses a receptor-targeted fluorescent probe and an untargeted, spectrally-distinct fluorescent companion imaging agent topically applied to fresh resected specimens, where the fluorescence from each probe is imaged and a normalized difference image is computed to identify tumor-target distribution in the specimen margins. While previous reports suggested this approach is a promising new tool for surgical guidance, advancing the approach into the clinic requires methodical protocol optimization and further validation. METHODS In the present study, we used breast cancer xenografts and receiver operator characteristic (ROC) curve analysis to evaluate a wide range of staining and imaging parameters, and completed a prospective validation study on multiple tumor phenotypes with different target expression. Imaging fluorophore-probe pair, concentration, and incubation times were systematically optimized using n=6 tissue specimen replicates per staining condition. Resulting tumor vs. normal adipose tissue diagnostic performance were reported and staining patterns were validated via receptor specific immunohistochemistry colocalization. Optimal staining conditions were tested in receptor positive and receptor negative cohorts to confirm specificity. RESULTS The optimal staining conditions were found to be a one minute stain in a 200 nM probe solution (area under the curve (AUC) = 0.97), where the choice of fluorescent label combination did not significantly affect the diagnostic performance. Using an optimal threshold value determined from ROC curve analysis on a training data set, a prospective study on xenografts resulted in an AUC=0.95 for receptor positive tumors and an AUC = 0.50 for receptor negative (control) tumors, confirming the diagnostic performance of this novel imaging technique. CONCLUSIONS DDSI provides a robust, molecularly specific imaging methodology for identifying tumor tissue over benign mammary adipose tissue. Using a dual probe imaging strategy, nonspecific accumulation of targeted probe was corrected for and tumor vs. normal tissue diagnostic potential was improved, circumventing difficulties with ex vivo tissue specimen staining and allowing for rapid clinical translation of this promising technology for tumor margin detection during BCS procedures.
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Affiliation(s)
| | | | - Vincent M. Rossi
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755
| | - Scott C. Davis
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755
| | - Summer L. Gibbs
- Biomedical Engineering Department
- Knight Cancer Institute
- OHSU Center for Spatial Systems Biomedicine, Oregon Health & Science University, Portland, OR 97201
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