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Hall G, Liang W, Bhujwalla ZM, Li X. SHG Fiberscopy Assessment of Collagen Morphology and Its Potential for Breast Cancer Optical Histology. IEEE Trans Biomed Eng 2024; 71:2414-2420. [PMID: 38437141 PMCID: PMC11257778 DOI: 10.1109/tbme.2024.3372629] [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] [Indexed: 03/06/2024]
Abstract
OBJECTIVE This study is to investigate the feasibility of our recently developed nonlinear fiberscope for label-free in situ breast tumor detection and lymph node status assessment based on second harmonic generation (SHG) imaging of fibrillar collagen matrix with histological details. The long-term goal is to improve the current biopsy-based cancer paradigm with reduced sampling errors. METHODS In this pilot study we undertook retrospective SHG imaging study of ex vivo invasive ductal carcinoma human biopsy tissue samples, and carried out quantitative image analysis to search for collagen structural signatures that are associated with the malignance of breast cancer. RESULTS SHG fiberscopy image-based quantitative assessment of collagen fiber morphology reveals that: 1) cancerous tissues contain generally less extracellular collagen fibers compared with tumor-adjacent normal tissues, and 2) collagen fibers in lymph node positive biopsies are more aligned than lymph node negative counterparts. CONCLUSION/SIGNIFICANCE The results demonstrate the promising potential of our SHG fiberscope for in situ breast tumor detection and lymph node involvement assessment and for offering real-time guidance during ongoing tissue biopsy.
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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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Guergan S, Boeer B, Fugunt R, Helms G, Roehm C, Solomianik A, Neugebauer A, Nuessle D, Schuermann M, Brunecker K, Jurjut O, Boehme KA, Dammeier S, Enderle MD, Bettio S, Gonzalez-Menendez I, Staebler A, Brucker SY, Kraemer B, Wallwiener D, Fend F, Hahn M. Optical Emission Spectroscopy for the Real-Time Identification of Malignant Breast Tissue. Diagnostics (Basel) 2024; 14:338. [PMID: 38337854 PMCID: PMC10855719 DOI: 10.3390/diagnostics14030338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 01/29/2024] [Accepted: 01/31/2024] [Indexed: 02/12/2024] Open
Abstract
Breast conserving resection with free margins is the gold standard treatment for early breast cancer recommended by guidelines worldwide. Therefore, reliable discrimination between normal and malignant tissue at the resection margins is essential. In this study, normal and abnormal tissue samples from breast cancer patients were characterized ex vivo by optical emission spectroscopy (OES) based on ionized atoms and molecules generated during electrosurgical treatment. The aim of the study was to determine spectroscopic features which are typical for healthy and neoplastic breast tissue allowing for future real-time tissue differentiation and margin assessment during breast cancer surgery. A total of 972 spectra generated by electrosurgical sparking on normal and abnormal tissue were used for support vector classifier (SVC) training. Specific spectroscopic features were selected for the classification of tissues in the included breast cancer patients. The average classification accuracy for all patients was 96.9%. Normal and abnormal breast tissue could be differentiated with a mean sensitivity of 94.8%, a specificity of 99.0%, a positive predictive value (PPV) of 99.1% and a negative predictive value (NPV) of 96.1%. For 66.6% patients all classifications reached 100%. Based on this convincing data, a future clinical application of OES-based tissue differentiation in breast cancer surgery seems to be feasible.
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Affiliation(s)
- Selin Guergan
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
| | - Bettina Boeer
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
| | - Regina Fugunt
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
| | - Gisela Helms
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
| | - Carmen Roehm
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
| | - Anna Solomianik
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
| | - Alexander Neugebauer
- Erbe Elektromedizin GmbH, Waldhoernlestr. 17, 72072 Tübingen, Germany; (A.N.); (D.N.); (M.S.); (O.J.); (K.A.B.); (S.D.); (M.D.E.)
| | - Daniela Nuessle
- Erbe Elektromedizin GmbH, Waldhoernlestr. 17, 72072 Tübingen, Germany; (A.N.); (D.N.); (M.S.); (O.J.); (K.A.B.); (S.D.); (M.D.E.)
| | - Mirjam Schuermann
- Erbe Elektromedizin GmbH, Waldhoernlestr. 17, 72072 Tübingen, Germany; (A.N.); (D.N.); (M.S.); (O.J.); (K.A.B.); (S.D.); (M.D.E.)
| | - Kristin Brunecker
- Erbe Elektromedizin GmbH, Waldhoernlestr. 17, 72072 Tübingen, Germany; (A.N.); (D.N.); (M.S.); (O.J.); (K.A.B.); (S.D.); (M.D.E.)
| | - Ovidiu Jurjut
- Erbe Elektromedizin GmbH, Waldhoernlestr. 17, 72072 Tübingen, Germany; (A.N.); (D.N.); (M.S.); (O.J.); (K.A.B.); (S.D.); (M.D.E.)
| | - Karen A. Boehme
- Erbe Elektromedizin GmbH, Waldhoernlestr. 17, 72072 Tübingen, Germany; (A.N.); (D.N.); (M.S.); (O.J.); (K.A.B.); (S.D.); (M.D.E.)
| | - Sascha Dammeier
- Erbe Elektromedizin GmbH, Waldhoernlestr. 17, 72072 Tübingen, Germany; (A.N.); (D.N.); (M.S.); (O.J.); (K.A.B.); (S.D.); (M.D.E.)
| | - Markus D. Enderle
- Erbe Elektromedizin GmbH, Waldhoernlestr. 17, 72072 Tübingen, Germany; (A.N.); (D.N.); (M.S.); (O.J.); (K.A.B.); (S.D.); (M.D.E.)
| | - Sabrina Bettio
- Institute of Pathology and Neuropathology, Tuebingen University Hospital, 72076 Tübingen, Germany; (S.B.); (I.G.-M.); (A.S.); (F.F.)
| | - Irene Gonzalez-Menendez
- Institute of Pathology and Neuropathology, Tuebingen University Hospital, 72076 Tübingen, Germany; (S.B.); (I.G.-M.); (A.S.); (F.F.)
| | - Annette Staebler
- Institute of Pathology and Neuropathology, Tuebingen University Hospital, 72076 Tübingen, Germany; (S.B.); (I.G.-M.); (A.S.); (F.F.)
| | - Sara Y. Brucker
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
| | - Bernhard Kraemer
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
| | - Diethelm Wallwiener
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
| | - Falko Fend
- Institute of Pathology and Neuropathology, Tuebingen University Hospital, 72076 Tübingen, Germany; (S.B.); (I.G.-M.); (A.S.); (F.F.)
| | - Markus Hahn
- Department of Women’s Health, Tuebingen University Hospital, 72076 Tübingen, Germany; (B.B.); (R.F.); (G.H.); (C.R.); (A.S.); (S.Y.B.); (B.K.); (D.W.); (M.H.)
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Zhang L, Liao J, Wang H, Zhang M, Liu Y, Jiang C, Han D, Jia Z, Qin C, Niu S, Bu H, Yao J, Liu Y. Near-Infrared II Hyperspectral Imaging Improves the Accuracy of Pathological Sampling of Multiple Cancer Types. J Transl Med 2023; 103:100212. [PMID: 37442199 DOI: 10.1016/j.labinv.2023.100212] [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: 12/17/2022] [Revised: 06/28/2023] [Accepted: 07/03/2023] [Indexed: 07/15/2023] Open
Abstract
Pathological histology is the "gold standard" for clinical diagnosis of cancer. Incomplete or excessive sampling of the formalin-fixed excised cancer specimen will result in inaccurate histologic assessment or excessive workload. Conventionally, pathologists perform specimen sampling relying on naked-eye observation, which is subjective and limited by human perception. Precise identification of cancer tissue, size, and margin is challenging, especially for lesions with inconspicuous tumors. To overcome the limits of human eye perception (visible: 400-700 nm) and improve the sampling efficiency, in this study, we propose using a second near-infrared window (NIR-II: 900-1700 nm) hyperspectral imaging (HSI) system to assist specimen sampling on the strength of the verified deep anatomical penetration and low scattering characteristics of the NIR-II optical window. We used selected NIR-II HSI narrow bands to synthesize color images for human eye observation and also applied a machine learning-based algorithm on the complete NIR-II HSI data for automatic tissue classification to assist pathologists in specimen sampling. A total of 92 tumor samples were collected, including 7 types. Sixty-two (62/92) samples were used as the validation set. Five experienced pathologists marked the contour of the cancer tissue on conventional color images by using different methods, and compared it with the "gold standard," showing that NIR-II HSI-assisted methods had significant improvements in determining cancer tissue compared with conventional methods (conventional color image with or without X-ray). The proposed system can be easily integrated into the current workflow, with high imaging efficiency and no ionizing radiation. It may also find applications in intraoperative detection of residual lesions and identification of different tissues.
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Affiliation(s)
- Lingling Zhang
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Jun Liao
- AI Lab, Tencent, Shenzhen, Guangdong, China
| | - Han Wang
- AI Lab, Tencent, Shenzhen, Guangdong, China
| | - Meng Zhang
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yao Liu
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | | | - Dandan Han
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Zhanli Jia
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | | | - ShuYao Niu
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Hong Bu
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Jianhua Yao
- AI Lab, Tencent, Shenzhen, Guangdong, China.
| | - Yueping Liu
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
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Aref MH, El-Gohary M, Elrewainy A, Mahmoud A, Aboughaleb IH, Hussein AA, El-Ghaffar SA, Mahran A, El-Sharkawy YH. Emerging Technology for Intraoperative Margin and Assisting in Post-Surgery tissue diagnostic for Future Breast-Conserving. Photodiagnosis Photodyn Ther 2023; 42:103507. [PMID: 36940788 DOI: 10.1016/j.pdpdt.2023.103507] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 02/13/2023] [Accepted: 03/07/2023] [Indexed: 03/23/2023]
Abstract
INTRODUCTION Tissue-preserving surgery is utilized progressively in cancer therapy, where a clear surgical margin is critical to avoid cancer recurrence, specifically in breast cancer (BC) surgery. The Intraoperative pathologic approaches that rely on tissue segmenting and staining have been recognized as the ground truth for BC diagnosis. Nevertheless, these methods are constrained by its complication and timewasting for tissue preparation. OBJECTIVE We present a non-invasive optical imaging system incorporating a hyperspectral (HS) camera to discriminate between cancerous and non-cancerous tissues in ex-vivo breast specimens, which could be an intraoperative diagnostic technique to aid surgeons during surgery and later a valuable tool to assist pathologists. METHODS We have established a hyperspectral Imaging (HSI) system comprising a push-broom HS camera at wavelength 380∼1050 nm with source light 390∼980 nm. We have measured the investigated samples' diffuse reflectance (Rd), fixed on slides from 30 distinct patients incorporating mutually normal and ductal carcinoma tissue. The samples were divided into two groups, stained tissues during the surgery (control group) and unstained samples (test group), both captured with the HSI system in the visible and near-infrared (VIS-NIR) range. Then, to address the problem of the spectral nonuniformity of the illumination device and the influence of the dark current, the radiance data were normalized to yield the radiance of the specimen and neutralize the intensity effect to focus on the spectral reflectance shift for each tissue. The selection of the threshold window from the measured Rd is carried out by exploiting the statistical analysis by calculating each region's mean and standard deviation. Afterward, we selected the optimum spectral images from the HS data cube to apply a custom K-means algorithm and contour delineation to identify the regular districts from the BC regions. RESULTS We noticed that the measured spectral Rd for the malignant tissues of the investigated case studies versus the reference source light varies regarding the cancer stage, as sometimes the Rd is higher for the tumor or vice versa for the normal tissue. Later, from the analysis of the whole samples, we found that the most appropriate wavelength for the BC tissues was 447 nm, which was highly reflected versus the normal tissue. However, the most convenient one for the normal tissue was at 545 nm with high reflection versus the BC tissue. Finally, we implement a moving average filter for noise reduction and a custom K-means clustering algorithm on the selected two spectral images (447, 551 nm) to identify the various regions and effectively-identified spectral tissue variations with a sensitivity of 98.95%, and specificity of 98.44%. A pathologist later confirmed these outcomes as the ground truth for the tissue sample investigations. CONCLUSIONS The proposed system could help the surgeon and the pathologist identify the cancerous tissue margins from the non-cancerous tissue with a non-invasive, rapid, and minimum time method achieving high sensitivity up to 98.95%.
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Affiliation(s)
| | - Mohamed El-Gohary
- Demonstrator, Communications Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.
| | - Ahmed Elrewainy
- Avionics Department, Electrical Engineering Branch, Military Technical College, Cairo, Egypt.
| | - Alaaeldin Mahmoud
- Optoelectronics and advanced control systems Department, Military Technical College, Cairo, Egypt.
| | | | | | | | - Ashraf Mahran
- Avionics Department, Military Technical College, Cairo, Egypt.
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Wang F, Gu Z, Zhao X, Chen Z, Zhang Z, Sun S, Han M. Metabolic characteristics of the various incision margins for breast cancer conservation surgery. Front Oncol 2023; 12:959454. [PMID: 36686765 PMCID: PMC9846322 DOI: 10.3389/fonc.2022.959454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 12/14/2022] [Indexed: 01/05/2023] Open
Abstract
Background Breast cancer (BC) has recently become the most prevalent malignancy in women. There are many alternative treatments for BC, and for aesthetic and postoperative quality of life concerns, breast-conserving surgery and corresponding adjuvant therapy have become the predominant treatment for early invasive BC. Currently, the main method used to assess the margins for breast-conserving surgery is intraoperative pathological diagnosis. However, the designation of surgical margins is controversial, and metabolomics may be a novel approach to evaluate surgical margins. Methods We collected specimens from 10 breast cancer patients and samples from its surrounding tissues and divided them into cancerous tissue and 1 mm, 2 mm, 3 mm, 5 mm and 10 mm cutting edge tissues, with a total of 60 samples. The samples were analyzed by mass spectrometry on an ultra-performance liquid chromatography-quadrupole/Orbitrap high resolution platform. The data were then statistically analyzed to detect metabolic changes in the different cutting edges and to identify possible surgical cutting edges with statistically significant findings. Abnormal metabolic pathways were identified by Kyoto Encyclopedia of Genes and Genomes (KEGG), which elucidated potential markers. Results Statistical analysis indicated that there were substantial differences between the 1 mm margin tissue and the cancer tissue, while there were no statistically significant differences between the 1 mm tissue and tissues from the other margins. The levels of 6 metabolites in the 1 mm tissue were significantly different from those in the cancer tissue and were not significantly different from those in the 2 mm tissue. The six metabolites were pyruvate, N-acetyl-L-aspartate, glutamic acid, γ-aminobutyric acid, fumaric acid, and citric acid. Metabolic pathways such as amino acid metabolism and amino t-RNA synthesis in the margin tissue were significantly distinct from those in cancer tissues based on KEGG analysis. Conclusion There was a significant difference between the 1 mm margin tissue and the cancerous tissue. Based on metabolomic analysis, the 1 mm negative margin is sufficient for surgery, and the six metabolites that we identified as abnormal, including pyruvic acid, N-acetyl-L-aspartic acid, glutamic acid, gamma-aminobutyric acid, fumaric acid and citric acid, may serve as biomarkers for a negative margin and help surgeons select an appropriate surgical margin.
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Woon CY, Goh SSN, Soh LS, Yeo CFC, Ong MW, Wong B, Leong JHT, Goo JTT, Chia CLK. Surgical margins assessment reduces re-excision rates in breast-conserving surgery. ANNALS OF THE ACADEMY OF MEDICINE, SINGAPORE 2023; 52:48-51. [PMID: 36730806 DOI: 10.47102/annals-acadmedsg.2021454] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/13/2025]
Affiliation(s)
- Chang Yi Woon
- Department of General Surgery, Khoo Teck Puat Hospital, Singapore
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Diagnostic performance of tomosynthesis, digital mammography and a dedicated digital specimen radiography system versus pathological assessment of excised breast lesions. Radiol Oncol 2022; 56:461-470. [PMID: 36226804 PMCID: PMC9784367 DOI: 10.2478/raon-2022-0036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 07/06/2022] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND The aim of the study was to compare the performance of full-field digital mammography (FFDM), digital breast tomosynthesis and a dedicated digital specimen radiography system (SRS) in consecutive patients, and to compare the margin status of resected lesions versus pathological assessment. PATIENTS AND METHODS Resected tissue specimens from consecutive patients who underwent intraoperative breast specimen assessment following wide local excision or oncoplastic breast conservative surgery were examined by FFDM, tomosynthesis and SRS. Two independent observers retrospectively evaluated the visibility of lesions, size, margins, spiculations, calcifications and diagnostic certainty, and chose the best performing method in a blinded manner. RESULTS We evaluated 216 specimens from 204 patients. All target malignant lesions were removed with no tumouron-ink. One papilloma had positive microscopic margins and one patient underwent reoperation owing to extensive in situ components. There were no significant differences in measured lesion size among the three methods. However, tomosynthesis was the most accurate modality when compared with the final pathological report. Both observers reported that tomosynthesis had significantly better lesion visibility than SRS and FFDM, which translated into a significantly greater diagnostic certainty. Tomosynthesis was superior to the other two methods in identifying spiculations and calcifications. Both observers reported that tomosynthesis was the best performing method in 76.9% of cases. The interobserver reproducibilities of lesion visibility and diagnostic certainty were high for all three methods. CONCLUSIONS Tomosynthesis was superior to SRS and FFDM for detecting and evaluating the target lesions, spiculations and calcifications, and was therefore more reliable for assessing complete excision of breast lesions.
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Specimen mammography for intraoperative margin assessment in breast conserving surgery: a meta-analysis. Sci Rep 2022; 12:18440. [PMID: 36323863 PMCID: PMC9630505 DOI: 10.1038/s41598-022-23234-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 10/27/2022] [Indexed: 01/06/2023] Open
Abstract
In breast conserving surgery (BCS), specimen mammography is one of the most widely used intraoperative methods of assessing margin status. We performed a meta-analysis to evaluate the diagnostic accuracy of specimen mammography. Literature databases including PubMed, Cochrane Library, Web of Science, and EMBASE were searched prior to Jun 2022. A total of 1967 patients were included from 20 studies. A pooled analysis, heterogeneity testing, threshold effect testing, publication bias analysis, and subgroup analyses were performed from extracted data. The pooled weighted values were a sensitivity of 0.55 (95% confidence interval [CI], 0.47-0.63), a specificity of 0.85 (95% CI, 0.78-0.90), a diagnostic odds ratio of 7 (95% CI, 4-12), and a pooled positive likelihood ratio of 3.7 (95% CI 2.6-5.5). The area under the receiver operator characteristic curve was 0.75 (95% CI 0.71-0.78). In the subgroup analysis, the pooled specificity in the positive margin defined as tumor at margin subgroup was lower than the other positive margin definition subgroup (0.82 [95% CI: 0.71, 0.92] vs. 0.87 [95% CI: 0.80, 0.94], p = 0.01). Our findings indicated that specimen mammography was an accurate intraoperative imaging technique for margin assessment in BCS.
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Gong P, Chin SL, Allen WM, Ballal H, Anstie JD, Chin L, Ismail HM, Zilkens R, Lakhiani DD, McCarthy M, Fang Q, Firth D, Newman K, Thomas C, Li J, Sanderson RW, Foo KY, Yeomans C, Dessauvagie BF, Latham B, Saunders CM, Kennedy BF. Quantitative Micro-Elastography Enables In Vivo Detection of Residual Cancer in the Surgical Cavity during Breast-Conserving Surgery. Cancer Res 2022; 82:4093-4104. [PMID: 36098983 PMCID: PMC9627129 DOI: 10.1158/0008-5472.can-22-0578] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 05/29/2022] [Accepted: 09/08/2022] [Indexed: 01/07/2023]
Abstract
Breast-conserving surgery (BCS) is commonly used for the treatment of early-stage breast cancer. Following BCS, approximately 20% to 30% of patients require reexcision because postoperative histopathology identifies cancer in the surgical margins of the excised specimen. Quantitative micro-elastography (QME) is an imaging technique that maps microscale tissue stiffness and has demonstrated a high diagnostic accuracy (96%) in detecting cancer in specimens excised during surgery. However, current QME methods, in common with most proposed intraoperative solutions, cannot image cancer directly in the patient, making their translation to clinical use challenging. In this proof-of-concept study, we aimed to determine whether a handheld QME probe, designed to interrogate the surgical cavity, can detect residual cancer directly in the breast cavity in vivo during BCS. In a first-in-human study, 21 BCS patients were scanned in vivo with the QME probe by five surgeons. For validation, protocols were developed to coregister in vivo QME with postoperative histopathology of the resected tissue to assess the capability of QME to identify residual cancer. In four cavity aspects presenting cancer and 21 cavity aspects presenting benign tissue, QME detected elevated stiffness in all four cancer cases, in contrast to low stiffness observed in 19 of the 21 benign cases. The results indicate that in vivo QME can identify residual cancer by directly imaging the surgical cavity, potentially providing a reliable intraoperative solution that can enable more complete cancer excision during BCS. SIGNIFICANCE Optical imaging of microscale tissue stiffness enables the detection of residual breast cancer directly in the surgical cavity during breast-conserving surgery, which could potentially contribute to more complete cancer excision.
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Affiliation(s)
- Peijun Gong
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia.,Corresponding Author: Peijun Gong, BRITElab, Harry Perkins Institute of Medical Research, Perth 6009, Australia. Phone: 61-8-6488-6774; E-mail:
| | - Synn Lynn Chin
- Breast Centre, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
| | - Wes M. Allen
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Helen Ballal
- Breast Centre, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
| | - James D. Anstie
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Lixin Chin
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Hina M. Ismail
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Renate Zilkens
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Division of Surgery, Medical School, The University of Western Australia, Perth, Western Australia, Australia
| | - Devina D. Lakhiani
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | | | - Qi Fang
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Daniel Firth
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Kyle Newman
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Caleb Thomas
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Jiayue Li
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia.,Australian Research Council Centre for Personalised Therapeutics Technologies, Melbourne, Victoria, Australia
| | - Rowan W. Sanderson
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Ken Y. Foo
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Chris Yeomans
- PathWest, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
| | - Benjamin F. Dessauvagie
- PathWest, Fiona Stanley Hospital, Murdoch, Western Australia, Australia.,Division of Pathology and Laboratory Medicine, Medical School, The University of Western Australia, Perth, Western Australia, Australia
| | - Bruce Latham
- PathWest, Fiona Stanley Hospital, Murdoch, Western Australia, Australia.,The University of Notre Dame, Fremantle, Western Australia, Australia
| | - Christobel M. Saunders
- Breast Centre, Fiona Stanley Hospital, Murdoch, Western Australia, Australia.,Division of Surgery, Medical School, The University of Western Australia, Perth, Western Australia, Australia.,Breast Clinic, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Brendan F. Kennedy
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia.,Australian Research Council Centre for Personalised Therapeutics Technologies, Melbourne, Victoria, Australia
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11
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Herrmann IK, Schlegel AA. Fostering Medical Materials Innovation. ACS MATERIALS AU 2022; 3:24-27. [PMID: 36647456 PMCID: PMC9837876 DOI: 10.1021/acsmaterialsau.2c00054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 10/08/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022]
Abstract
Close collaboration between basic researchers and clinicians is at the root of medical material and technology innovation. However, the distinctly different educational curricula and various boundary conditions put barriers on such interactions. This short perspective describes current challenges and provides subsequent solutions that may help research laboratories to overcome frequent hurdles and maximize interdisciplinary interactions. The involvement of various stakeholders is key to establishing an environment for barrier-free, effective collaboration, overcoming disciplinary boundaries and creating a strong source of inspiration and motivation for biomedical innovations with clinical impact.
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Affiliation(s)
- Inge K. Herrmann
- Nanoparticle
Systems Engineering Laboratory, Institute of Energy and Process Engineering
(IEPE), Department of Mechanical and Process Engineering (D-MAVT), ETH Zurich, Sonneggstrasse 3, 8092 Zurich, Switzerland,Particles-Biology
Interactions Laboratory, Department of Materials Meet Life, Swiss Federal Laboratories for Materials Science and
Technology (Empa), Lerchenfeldstrasse
5, 9014 St. Gallen, Switzerland, or . Phone: +41 (0)58 765 7153
| | - Andrea A. Schlegel
- Fondazione
IRCCS Ca’ Granda, Ospedale Maggiore Policlinico, Centre of Preclinical Research, Via Francesco Sforza, 35, Milan 20122, Italy,Department
of Surgery and Transplantation, Swiss HPB Centre, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
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12
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Schumacher JR, Lawson EH, Kong AL, Weber JJ, May J, Landercasper J, Hanlon B, Marka N, Venkatesh M, Cartmill RS, Pavuluri Quamme S, Nikolay C, Greenberg CC. A Statewide Approach to Reducing Re-excision Rates for Women With Breast-conserving Surgery. Ann Surg 2022; 276:665-672. [PMID: 35837946 PMCID: PMC9529150 DOI: 10.1097/sla.0000000000005590] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Test the effectiveness of benchmarked performance reports based on existing discharge data paired with a statewide intervention to implement evidence-based strategies on breast re-excision rates. BACKGROUND Breast-conserving surgery (BCS) is a common breast cancer surgery performed in a range of hospital settings. Studies have demonstrated variations in post-BCS re-excision rates, identifying it as a high-value improvement target. METHODS Wisconsin Hospital Association discharge data (2017-2019) were used to compare 60-day re-excision rates following BCS for breast cancer. The analysis estimated the difference in the average change preintervention to postintervention between Surgical Collaborative of Wisconsin (SCW) and nonparticipating hospitals using a logistic mixed-effects model with repeated measures, adjusting for age, payer, and hospital volume, including hospitals as random effects. The intervention included 5 collaborative meetings in 2018 to 2019 where surgeon champions shared guideline updates, best practices/challenges, and facilitated action planning. Confidential benchmarked performance reports were provided. RESULTS In 2017, there were 3692 breast procedures in SCW and 1279 in nonparticipating hospitals; hospital-level re-excision rates ranged from 5% to >50%. There was no statistically significant baseline difference in re-excision rates between SCW and nonparticipating hospitals (16.1% vs. 17.1%, P =0.47). Re-excision significantly decreased for SCW but not for nonparticipating hospitals (odds ratio=0.69, 95% confidence interval=0.52-0.91). CONCLUSIONS Benchmarked performance reports and collaborative quality improvement can decrease post-BCS re-excisions, increase quality, and decrease costs. Our study demonstrates the effective use of administrative data as a platform for statewide quality collaboratives. Using existing data requires fewer resources and offers a new paradigm that promotes participation across practice settings.
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Affiliation(s)
| | - Elise H Lawson
- Department of Surgery, University of Wisconsin-Madison, Madison, WI
| | - Amanda L Kong
- Department of Surgery, Medical College of Wisconsin, Milwaukee, WI
| | | | - Jeanette May
- Department of Surgery, University of Wisconsin-Madison, Madison, WI
| | | | - Bret Hanlon
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI
| | - Nicholas Marka
- Clinical and Translational Science Institute, University of Minnesota, Minneapolis, MN
| | - Manasa Venkatesh
- Department of Surgery, University of Wisconsin-Madison, Madison, WI
| | - Randi S Cartmill
- Department of Surgery, University of Wisconsin-Madison, Madison, WI
| | | | - Connor Nikolay
- Department of Surgery, University of Wisconsin-Madison, Madison, WI
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13
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Keum H, Park HY, Kang B, Jung JH, Kim WW, Lee J. Comparison of margin status assessment between intraoperative digital and conventional specimen mammography in breast cancer: A preliminary study. Asian J Surg 2022; 46:1931-1936. [PMID: 36253258 DOI: 10.1016/j.asjsur.2022.09.094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 09/14/2022] [Accepted: 09/20/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Although breast surgeons can request frozen section biopsies to evaluate margin status in breast-conserving surgery (BCS), specimen imaging is also a useful assessment tool. Intraoperative digital specimen mammography (IDSM) has recently been introduced in Korea. To estimate the clinical role of IDSM, this study compared the clinicopathologic factors of patients whose specimen was assessed with IDSM with those assessed using conventional specimen mammography (CSM). METHODS From October to December 2021, 78 breast cancer patients who underwent BCS were included in this study. The obtained specimens were assessed using IDSM (n = 44) and CSM (n = 34). Clinicopathologic factors included margin involvement status in specimen mammography and the results of frozen section biopsies. The radiation dose emitted from the specimen after mammography was measured using a portable device. RESULTS There were no significant differences in clinicopathological factors between the two groups, except the type of surgery for axillary lymph nodes. The closest distance from the margin to tumor was longer in the CSM group than in the IDSM group, although the difference was not statistically significant (p = 0.894). Margin involvement was accurately detected using IDSM due to the absence of compression (p < 0.001). In addition, the sensitivity and accuracy of IDSM were higher, and the false-negative rate was lower. CONCLUSION Both specimen mammography methods were highly accurate in evaluating the margin involvement status. However, the margin status could be examined more precisely using IDSM because the specimen was not compressed to perform the examination. Because the IDSM system was installed in the operating room, it not only shortened performing routes but also reduced the operating time by providing immediate results.
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Affiliation(s)
- Heejung Keum
- Department of Surgery, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu, South Korea
| | - Ho Yong Park
- Department of Surgery, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu, South Korea
| | - Byeongju Kang
- Department of Surgery, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu, South Korea
| | - Jin Hyang Jung
- Department of Surgery, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu, South Korea
| | - Wan Wook Kim
- Department of Surgery, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu, South Korea
| | - Jeeyeon Lee
- Department of Surgery, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu, South Korea.
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14
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Scolaro L, Lorenser D, Quirk BC, Kirk RW, Ho LA, Thomas E, Li J, Saunders CM, Sampson DD, Fuller RO, McLaughlin RA. Multimodal imaging needle combining optical coherence tomography and fluorescence for imaging of live breast cancer cells labeled with a fluorescent analog of tamoxifen. JOURNAL OF BIOMEDICAL OPTICS 2022; 27:076004. [PMID: 35831923 PMCID: PMC9278982 DOI: 10.1117/1.jbo.27.7.076004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 06/28/2022] [Indexed: 06/15/2023]
Abstract
SIGNIFICANCE Imaging needles consist of highly miniaturized focusing optics encased within a hypodermic needle. The needles may be inserted tens of millimeters into tissue and have the potential to visualize diseased cells well beyond the penetration depth of optical techniques applied externally. Multimodal imaging needles acquire multiple types of optical signals to differentiate cell types. However, their use has not previously been demonstrated with live cells. AIM We demonstrate the ability of a multimodal imaging needle to differentiate cell types through simultaneous optical coherence tomography (OCT) and fluorescence imaging. APPROACH We characterize the performance of a multimodal imaging needle. This is paired with a fluorescent analog of the therapeutic drug, tamoxifen, which enables cell-specific fluorescent labeling of estrogen receptor-positive (ER+) breast cancer cells. We perform simultaneous OCT and fluorescence in situ imaging on MCF-7 ER+ breast cancer cells and MDA-MB-231 ER- cells. Images are compared against unlabeled control samples and correlated with standard confocal microscopy images. RESULTS We establish the feasibility of imaging live cells with these miniaturized imaging probes by showing clear differentiation between cancerous cells. CONCLUSIONS Imaging needles have the potential to aid in the detection of specific cancer cells within solid tissue.
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Affiliation(s)
- Loretta Scolaro
- The University of Adelaide, Australian Research Council Centre of Excellence for Nanoscale Biophotonics, Faculty of Health and Medical Sciences, Adelaide, South Australia, Australia
- The University of Adelaide, Institute for Photonics and Advanced Sensing, Adelaide, South Australia, Australia
- The University of Western Australia, School of Engineering, Optical+Biomedical Engineering Laboratory, Crawley, Western Australia, Australia
| | - Dirk Lorenser
- The University of Western Australia, School of Engineering, Optical+Biomedical Engineering Laboratory, Crawley, Western Australia, Australia
| | - Bryden C. Quirk
- The University of Adelaide, Australian Research Council Centre of Excellence for Nanoscale Biophotonics, Faculty of Health and Medical Sciences, Adelaide, South Australia, Australia
- The University of Adelaide, Institute for Photonics and Advanced Sensing, Adelaide, South Australia, Australia
- The University of Western Australia, School of Engineering, Optical+Biomedical Engineering Laboratory, Crawley, Western Australia, Australia
| | - Rodney W. Kirk
- The University of Adelaide, Australian Research Council Centre of Excellence for Nanoscale Biophotonics, Faculty of Health and Medical Sciences, Adelaide, South Australia, Australia
- The University of Adelaide, Institute for Photonics and Advanced Sensing, Adelaide, South Australia, Australia
- The University of Western Australia, School of Engineering, Optical+Biomedical Engineering Laboratory, Crawley, Western Australia, Australia
| | - Louisa A. Ho
- The University of Western Australia, School of Molecular Sciences, Crawley, Western Australia, Australia
| | - Elizabeth Thomas
- The University of Western Australia, Medical School, Division of Surgery, Nedlands, Western Australia, Australia
| | - Jiawen Li
- The University of Adelaide, Australian Research Council Centre of Excellence for Nanoscale Biophotonics, Faculty of Health and Medical Sciences, Adelaide, South Australia, Australia
- The University of Adelaide, Institute for Photonics and Advanced Sensing, Adelaide, South Australia, Australia
- The University of Western Australia, School of Engineering, Optical+Biomedical Engineering Laboratory, Crawley, Western Australia, Australia
- The University of Adelaide, School of Electrical and Electronic Engineering, Adelaide, South Australia, Australia
| | - Christobel M. Saunders
- The University of Western Australia, Medical School, Division of Surgery, Nedlands, Western Australia, Australia
- Fiona Stanley Hospital, Breast Centre, Murdoch, Western Australia, Australia
- Royal Perth Hospital, Breast Clinic, Perth, Western Australia, Australia
| | - David D. Sampson
- The University of Western Australia, School of Engineering, Optical+Biomedical Engineering Laboratory, Crawley, Western Australia, Australia
- University of Surrey, School of Biosciences and Medicine, Surrey Biophotonics, Guildford, United Kingdom
- University of Surrey, Advanced Technology Institute, School of Physics, Surrey Biophotonics, Guildford, United Kingdom
| | - Rebecca O. Fuller
- The University of Western Australia, School of Molecular Sciences, Crawley, Western Australia, Australia
- University of Tasmania, School of Natural Sciences – Chemistry, Hobart, Tasmania, Australia
| | - Robert A. McLaughlin
- The University of Adelaide, Australian Research Council Centre of Excellence for Nanoscale Biophotonics, Faculty of Health and Medical Sciences, Adelaide, South Australia, Australia
- The University of Adelaide, Institute for Photonics and Advanced Sensing, Adelaide, South Australia, Australia
- The University of Western Australia, School of Engineering, Optical+Biomedical Engineering Laboratory, Crawley, Western Australia, Australia
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15
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Evolution of Frozen Section in Carcinoma Breast: Systematic Review. Int J Breast Cancer 2022; 2022:4958580. [PMID: 35655582 PMCID: PMC9152418 DOI: 10.1155/2022/4958580] [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: 11/27/2021] [Accepted: 03/28/2022] [Indexed: 11/17/2022] Open
Abstract
Background. The frozen section (FS) has been a good technique in surgical management of breast lesions since many years. But complete agreement and cooperation have not been achieved everywhere among surgeons and pathologists especially in the developing countries. FS undergoes continuous criticism due to various shortcomings but continued to be evaluated especially in developing countries. Objectives. This review was conducted to synthesize information on the use of frozen section in carcinoma breast. Data Sources. The MEDLINE database for frozen section since its origin and its implication in recent breast surgery techniques was studied. Study Eligibility Criteria. Sixty-five articles were reviewed with complete analysis on FS in both benign and malignant breast lesions. Study Appraisal and Synthesis Methods. The analysis of frozen section was done as a diagnostic tool in breast lesions, margin status in breast conservative surgery in carcinoma breast, and sentinel lymph node and use of immunohistochemistry for sentinel lymph node FS. Results. It was analysed that the FS gives accurate results in margin status analysis, decreasing rerecurrence. Conclusion. The accuracy of FSA, low recurrence rate, avoidance of reoperation, and good cosmesis are the key points of its use in breast conservative surgery. Its use in sentinel lymph node biopsy (SLNB) is equivocal. However, application of immunohistochemistry on frozen section of SLNB is an evolving trend in today’s era.
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16
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Invisible Surgery Concept and Scenario Strategy: How to Get the Best Aesthetic Results in Oncoplastic Breast-Conserving Surgery. Plast Reconstr Surg 2021; 148:1209-1213. [PMID: 34847109 DOI: 10.1097/prs.0000000000008518] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
SUMMARY The authors believe that oncoplastic breast surgery has to achieve the best possible aesthetic results. In this article, they propose the concept of "invisible surgery." This is a combination of certain oncoplastic techniques that allows for restoration of the original appearance of the breast without obvious scars on the breast. Further, the authors classify the techniques as follows: the "level 1 technique," with contour approach; the "from inside" technique; the lateral parenchymal flap; the axillary subcutaneous adipofascial flap; the rotational lateral thoracic flap; regional island perforator flaps (lateral intercostal artery perforator, lateral thoracic artery perforator, anterior intercostal artery perforator, and medial intercostal artery perforator flaps); and the nipple-sparing mastectomy with immediate expander reconstruction. These techniques were combined by internal logic-one can move from one to another according to the preoperative planning and margins status during the operation. They call their approach the "scenario strategy." The authors have performed 138 operations in 137 patients using this approach. Most of them involved the "from inside" technique and perforator flaps. The average tumor size was 2.4 cm, and the average specimen weight was 43.2 g. The total rate of complications was 14.6 percent. According to this concept, the surgery should be performed in such way that breast appearance will not change. It should be planned as one would plan a staged procedure, taking into account possible changes in the scenario during the operation to achieve the best possible aesthetic result.
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17
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Godazandeh G, Alizadeh-Navaei R, Shamshirian A, Heydari K, Shojaee L. Diagnostic Value of Intraoperative Frozen Section in Breast-Conserving Surgery: A Systematic Review and Meta-analysis. INTERNATIONAL JOURNAL OF CANCER MANAGEMENT 2021; 14. [DOI: 10.5812/ijcm.114082] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Context: According to previous studies, using the frozen section procedure during breast surgery reduces the rate of error and the need for re-surgery. We aimed at performing a comprehensive systematic review and meta-analysis to provide reliable evidence on the diagnostic value of frozen section procedures in breast-conserving surgery (BCS). Data Sources: A thorough search was performed in PubMed, Embase, Cochrane Library, and Web of Science databases for human diagnostic studies that used the frozen section in BCS. Meta-analyses were done to find the sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (PLR), and negative likelihood ratio (NLR). Study Selection: Human diagnostic studies used the frozen section in breast-conserving surgery and studies that reported the sensitivity and specificity of the frozen section in BCS or contained data that could be calculated the desired parameters were selected for this meta-analysis. Data Extraction: Assessment of studies quality was done and data was extracted from included papers. Then, the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool was used to assess the quality of included papers. Results: Thirty-five papers were entered into our study. The meta-analysis indicated the high sensitivity (83.47, 95%CI 79.61 - 87.32) and specificity (99.29, 95%CI 98.89 - 99.68) for the frozen section in BCS, which resulted in an accuracy of 93.77 (95%CI 92.45 - 95.10). We also found a significant PPV (93.26, 95%CI 91.25 - 95.27), NPV (92.17, 95%CI 90.22 - 94.11), PLR (7.99, 95%CI 6.01 - 9.96), and NLR (0.18, 95%CI 0.14 - 0.23). Conclusions: The findings showed that intraoperative frozen section analysis has high sensitivity and specificity for evaluating lumpectomy margins in patients with early-stage breast cancer and significantly reduces the need for re-operation. Accordingly, re-operation costs are not imposed on the patient and reduce the anxiety of the patients.
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18
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Does Tumor Marking Before Neoadjuvant Chemotherapy Helps Achieve Better Outcomes in Patients Undergoing Breast Conservative Surgery? A Systematic Review. Indian J Surg Oncol 2021; 12:624-631. [PMID: 34658593 DOI: 10.1007/s13193-021-01393-7] [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: 05/25/2021] [Accepted: 07/19/2021] [Indexed: 10/20/2022] Open
Abstract
Patients with breast cancer are increasingly being offered breast conserving surgery (BCS) following neoadjuvant chemotherapy (NACT). We aimed to conduct a systematic review to assess the advantage of tumor marking in patients undergoing BCS after NACT. After registering the protocol for a systematic review with PROSPERO, a systematic search was conducted through September 30, 2020, for all studies involving patients undergoing BCS post NACT after tumor marking. Margin status on final histology was the primary outcome. Oxford Centre for Evidence Based Medicine (OCEBM) levels were used to assess internal validity. A total of 636 records from Medline/PubMed, 1381 from Embase, and 1422 from Cochrane library were extracted. After screening, 15 articles (1520 patients) were included for data synthesis. For marking, 6 studies used metallic markers and 5 used 125I-radioactive seeds (RSL) followed by skin tattoo and radio-guided occult lesion localization using 99mTc (ROLL) in one study each. Most studies used a single marker at the center except for two (143 patients), who practiced the bracketing technique. Incidence of unsatisfactory margins (positive/close) ranged from 5 to 23.5%. After excluding patients with complete pathological response, the "adjusted unsatisfactory margin" rate was found to be 19.3% (10.4-33%). Overall 20.6 recurrences (locoregional/distant) were reported per 1000 patient-years follow-up. Overall survival (OS) was only reported by one study as 96.6% and 84.7% in patients with and without marker placement (p = .01). Re-excision and secondary mastectomy rates (reported by nine studies) were 7.3% and 5.7% respectively. There is limited evidence that tumor marking before neoadjuvant chemotherapy improves the rate of unsatisfactory margins or survival outcomes in a patient undergoing BCS after NACT.
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19
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Intraoperative fluorescence imaging with aminolevulinic acid detects grossly occult breast cancer: a phase II randomized controlled trial. Breast Cancer Res 2021; 23:72. [PMID: 34253233 PMCID: PMC8276412 DOI: 10.1186/s13058-021-01442-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 05/25/2021] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Re-excision due to positive margins following breast-conserving surgery (BCS) negatively affects patient outcomes and healthcare costs. The inability to visualize margin involvement is a significant challenge in BCS. 5-Aminolevulinic acid hydrochloride (5-ALA HCl), a non-fluorescent oral prodrug, causes intracellular accumulation of fluorescent porphyrins in cancer cells. This single-center Phase II randomized controlled trial evaluated the safety, feasibility, and diagnostic accuracy of a prototype handheld fluorescence imaging device plus 5-ALA for intraoperative visualization of invasive breast carcinomas during BCS. METHODS Fifty-four patients were enrolled and randomized to receive no 5-ALA or oral 5-ALA HCl (15 or 30 mg/kg). Forty-five patients (n = 15/group) were included in the analysis. Fluorescence imaging of the excised surgical specimen was performed, and biopsies were collected from within and outside the clinically demarcated tumor border of the gross specimen for blinded histopathology. RESULTS In the absence of 5-ALA, tissue autofluorescence imaging lacked tumor-specific fluorescent contrast. Both 5-ALA doses caused bright red tumor fluorescence, with improved visualization of tumor contrasted against normal tissue autofluorescence. In the 15 mg/kg 5-ALA group, the positive predictive value (PPV) for detecting breast cancer inside and outside the grossly demarcated tumor border was 100.0% and 55.6%, respectively. In the 30 mg/kg 5-ALA group, the PPV was 100.0% and 50.0% inside and outside the demarcated tumor border, respectively. No adverse events were observed, and clinical feasibility of this imaging device-5-ALA combination approach was confirmed. CONCLUSIONS This is the first known clinical report of visualization of 5-ALA-induced fluorescence in invasive breast carcinoma using a real-time handheld intraoperative fluorescence imaging device. TRIAL REGISTRATION Clinicaltrials.gov identifier NCT01837225 . Registered 23 April 2013.
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20
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Mason EE, Mattingly E, Herb K, Śliwiak M, Franconi S, Cooley CZ, Slanetz PJ, Wald LL. Concept for using magnetic particle imaging for intraoperative margin analysis in breast-conserving surgery. Sci Rep 2021; 11:13456. [PMID: 34188077 PMCID: PMC8242088 DOI: 10.1038/s41598-021-92644-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 06/11/2021] [Indexed: 12/23/2022] Open
Abstract
Breast-conserving surgery (BCS) is a commonly utilized treatment for early stage breast cancers but has relatively high reexcision rates due to post-surgical identification of positive margins. A fast, specific, sensitive, easy-to-use tool for assessing margins intraoperatively could reduce the need for additional surgeries, and while many techniques have been explored, the clinical need is still unmet. We assess the potential of Magnetic Particle Imaging (MPI) for intraoperative margin assessment in BCS, using a passively or actively tumor-targeted iron oxide agent and two hardware devices: a hand-held Magnetic Particle detector for identifying residual tumor in the breast, and a small-bore MPI scanner for quickly imaging the tumor distribution in the excised specimen. Here, we present both hardware systems and demonstrate proof-of-concept detection and imaging of clinically relevant phantoms.
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Affiliation(s)
- Erica E Mason
- Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA.
- Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, 02139, USA.
| | - Eli Mattingly
- Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, 02139, USA
| | - Konstantin Herb
- Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Department of Physics, ETH Zurich, Zurich, Switzerland
| | - Monika Śliwiak
- Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA
| | - Sofia Franconi
- Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA
| | - Clarissa Zimmerman Cooley
- Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Priscilla J Slanetz
- Department of Radiology, Boston University Medical Center, Boston, MA, 02118, USA
| | - Lawrence L Wald
- Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, 02129, USA
- Harvard Medical School, Boston, MA, 02115, USA
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21
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Streeter SS, Maloney BW, Zuurbier RA, Wells WA, Barth RJ, Paulsen KD, Pogue BW. Optical scatter imaging of resected breast tumor structures matches the patterns of micro-computed tomography. Phys Med Biol 2021; 66. [PMID: 34061046 DOI: 10.1088/1361-6560/ac01f1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 05/17/2021] [Indexed: 11/12/2022]
Abstract
In patients undergoing breast-conserving surgery (BCS), the rate of re-excision procedures to remove residual tumor left behind after initial resection can be high. Projection radiography, and recently, volumetric x-ray imaging are used to assess margin adequacy, but x-ray imaging lacks contrast between healthy, abnormal benign, and malignant fibrous tissues important for surgical decision making. The purpose of this study was to compare micro-CT and optical scatter imagery of surgical breast specimens and to demonstrate enhanced contrast-to intra-tumoral morphologies and tumor boundary features revealed by optical scatter imaging. A total of 57 breast tumor slices from 57 patients were imagedex vivoby spatially co-registered micro-CT and optical scatter scanning. Optical scatter exhibited greater similarity with micro-CT in 89% (51/57) of specimens versus diffuse white light (DWL) luminance using mutual information (mean ± standard deviation of 0.48 ± 0.21 versus 0.24 ± 0.12;p < 0.001) and in 81% (46/57) of specimens using the Sørensen-Dice coefficient (0.48 ± 0.21 versus 0.33 ± 0.18;p < 0.001). The coefficient of variation (CV) quantified the feature content in each image. Optical scatter exhibited the highest CV in every specimen (optical scatter: 0.70 ± 0.17; diffuse luminance: 0.24 ± 01; micro-CT: 0.15 ± 0.03 for micro-CT;p < 0.001). Optical scatter also exhibited the highest contrast ratios across representative tumor boundaries with adjacent healthy/benign fibrous tissues (1.5-3.7 for optical scatter; 1.0-1.1 for diffuse luminance; 1.0-1.1 for micro-CT). The two main findings from this study were: first, optical scatter contrast was in general similar to the radiological view of the tissue relative to DWL imaging; and second, optical scatter revealed additional features associated with fibrous tissue structures of similar radiodensity that may be relevant to diagnosis. The value of micro-CT lies in its rapid three-dimensional scanning of specimen morphology, and combined with optical scatter imaging with sensitivity to fibrous surface tissues, may be an attractive solution for margin assessment during BCS.
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Affiliation(s)
- Samuel S Streeter
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, United States of America
| | - Benjamin W Maloney
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, United States of America
| | - Rebecca A Zuurbier
- Departments of Radiology (RAZ), Pathology and Laboratory Medicine (WAW), and Surgery (RJB), Dartmouth-Hitchcock Medical Center, Lebanon NH 03756, United States of America.,Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon NH 03756, United States of America
| | - Wendy A Wells
- Departments of Radiology (RAZ), Pathology and Laboratory Medicine (WAW), and Surgery (RJB), Dartmouth-Hitchcock Medical Center, Lebanon NH 03756, United States of America.,Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon NH 03756, United States of America
| | - Richard J Barth
- Departments of Radiology (RAZ), Pathology and Laboratory Medicine (WAW), and Surgery (RJB), Dartmouth-Hitchcock Medical Center, Lebanon NH 03756, United States of America.,Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon NH 03756, United States of America
| | - Keith D Paulsen
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, United States of America.,Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon NH 03756, United States of America
| | - Brian W Pogue
- Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, United States of America.,Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon NH 03756, United States of America
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22
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Yang H, Zhang S, Liu P, Cheng L, Tong F, Liu H, Wang S, Liu M, Wang C, Peng Y, Xie F, Zhou B, Cao Y, Guo J, Zhang Y, Ma Y, Shen D, Xi P, Wang S. Use of high-resolution full-field optical coherence tomography and dynamic cell imaging for rapid intraoperative diagnosis during breast cancer surgery. Cancer 2021; 126 Suppl 16:3847-3856. [PMID: 32710665 DOI: 10.1002/cncr.32838] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 02/06/2020] [Accepted: 02/16/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Although traditional intraoperative assessments (ie, frozen sections) may lower reoperation rates in patients with breast cancer, time/tissue limitations and accuracy concerns have discouraged their routine clinical use. Full-field optical coherence tomography (FFOCT) and dynamic cell imaging (DCI) are novel optical imaging techniques offering rapid histologic approximations that are unfettered by requisite handling steps. This study was conducted to determine the feasibility and diagnostic utility of FFOCT and DCI in examining breast and lymph node specimens during breast cancer surgery. METHODS FFOCT and DCI were applied to normal and cancerous breast tissue, benign breast lesions, and resected axillary lymph nodes. The tissues were then subjected to conventional processing and staining (hematoxylin-eosin) for purposes of comparison. RESULTS A total of 314 specimens, including 173 breast biopsies (malignant, 132; benign/normal, 41) and 141 resected lymph nodes (tumor-positive, 48; tumor-negative, 93), were obtained from 158 patients during breast surgery for prospective imaging evaluations. In breast cancer diagnosis, the minimum sensitivities (FFOCT, 85.6%; DCI, 88.6%) and specificities of optical imaging (FFOCT, 85.4%; DCI, 95.1%) were high, although they diverged somewhat in nodal assessments (FFOCT sensitivity, 66.7%; FFOCT specificity, 79.6%; DCI sensitivity, 83.3%; DCI specificity, 98.9%). CONCLUSIONS These timely and tissue-sparing optical imaging techniques proved highly accurate in diagnosing breast cancer and nodal metastasis. They compare favorably with routine histologic sections and demonstrate their promise in this setting.
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Affiliation(s)
- Houpu Yang
- Breast Center, Peking University People's Hospital, Beijing, People's Republic of China
| | - Shuwei Zhang
- Breast Center, Peking University People's Hospital, Beijing, People's Republic of China
| | - Peng Liu
- Breast Center, Peking University People's Hospital, Beijing, People's Republic of China
| | - Lin Cheng
- Breast Center, Peking University People's Hospital, Beijing, People's Republic of China
| | - Fuzhong Tong
- Breast Center, Peking University People's Hospital, Beijing, People's Republic of China
| | - Hongjun Liu
- Breast Center, Peking University People's Hospital, Beijing, People's Republic of China
| | - Siyuan Wang
- Breast Center, Peking University People's Hospital, Beijing, People's Republic of China
| | - Miao Liu
- Breast Center, Peking University People's Hospital, Beijing, People's Republic of China
| | - Chaobin Wang
- Breast Center, Peking University People's Hospital, Beijing, People's Republic of China
| | - Yuan Peng
- Breast Center, Peking University People's Hospital, Beijing, People's Republic of China
| | - Fei Xie
- Breast Center, Peking University People's Hospital, Beijing, People's Republic of China
| | - Bo Zhou
- Breast Center, Peking University People's Hospital, Beijing, People's Republic of China
| | - Yingming Cao
- Breast Center, Peking University People's Hospital, Beijing, People's Republic of China
| | - Jiajia Guo
- Breast Center, Peking University People's Hospital, Beijing, People's Republic of China
| | - Yuanyuan Zhang
- Department of Pathology, Peking University People's Hospital, Beijing, People's Republic of China
| | - Yingteng Ma
- Department of Pathology, Peking University People's Hospital, Beijing, People's Republic of China
| | - Danhua Shen
- Department of Pathology, Peking University People's Hospital, Beijing, People's Republic of China
| | - Peng Xi
- College of Engineering, Peking University, Beijing, People's Republic of China
| | - Shu Wang
- Breast Center, Peking University People's Hospital, Beijing, People's Republic of China
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23
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Heidkamp J, Scholte M, Rosman C, Manohar S, Fütterer JJ, Rovers MM. Novel imaging techniques for intraoperative margin assessment in surgical oncology: A systematic review. Int J Cancer 2021; 149:635-645. [PMID: 33739453 PMCID: PMC8252509 DOI: 10.1002/ijc.33570] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 12/08/2020] [Accepted: 03/01/2021] [Indexed: 12/25/2022]
Abstract
Inadequate margins continue to occur frequently in patients who undergo surgical resection of a tumor, suggesting that current intraoperative methods are not sufficiently reliable in determining the margin status. This clinical demand has inspired the development of many novel imaging techniques that could help surgeons with intraoperative margin assessment. This systematic review provides an overview of novel imaging techniques for intraoperative margin assessment in surgical oncology, and reports on their technical properties, feasibility in clinical practice and diagnostic accuracy. PubMed, Embase, Web of Science and the Cochrane library were systematically searched (2013‐2018) for studies reporting on imaging techniques for intraoperative margin assessment. Patient and study characteristics, technical properties, feasibility characteristics and diagnostic accuracy were extracted. This systematic review identified 134 studies that investigated and developed 16 groups of techniques for intraoperative margin assessment: fluorescence, advanced microscopy, ultrasound, specimen radiography, optical coherence tomography, magnetic resonance imaging, elastic scattering spectroscopy, bio‐impedance, X‐ray computed tomography, mass spectrometry, Raman spectroscopy, nuclear medicine imaging, terahertz imaging, photoacoustic imaging, hyperspectral imaging and pH measurement. Most studies were in early developmental stages (IDEAL 1 or 2a, n = 98); high‐quality stage 2b and 3 studies were rare. None of the techniques was found to be clearly superior in demonstrating high feasibility as well as high diagnostic accuracy. In conclusion, the field of imaging techniques for intraoperative margin assessment is highly evolving. This review provides a unique overview of the opportunities and limitations of the currently available imaging techniques.
What's new?
While surgical resection is critical in the treatment of primary solid tumors, resection at tumor margins remains problematic, with inadequately resected margins facilitating tumor recurrence. In this systematic review, the authors collected information on novel imaging techniques applied to the intraoperative assessment of tumor margins across cancer types. A total of 16 groups of techniques were identified, with many in early stages of clinical application. Following comparison, no single technique was clearly superior in clinical feasibility or diagnostic accuracy. The review highlights the evolving nature of imaging techniques for intraoperative margin assessment and identifies opportunities and limitations in the field.
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Affiliation(s)
- Jan Heidkamp
- Department of Radiology and Nuclear Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mirre Scholte
- Department of Operating Rooms, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Camiel Rosman
- Department of Surgery, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Srirang Manohar
- Multi-Modality Medical Imaging group, Technical Medical Center, University of Twente, Enschede, The Netherlands
| | - Jurgen J Fütterer
- Department of Radiology and Nuclear Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Maroeska M Rovers
- Department of Operating Rooms, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Health Evidence, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
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24
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Bourgeois P, Veys I, Noterman D, De Neubourg F, Chintinne M, Vankerckhove S, Nogaret JM. Near-Infrared Fluorescence Imaging of Breast Cancer and Axillary Lymph Nodes After Intravenous Injection of Free Indocyanine Green. Front Oncol 2021; 11:602906. [PMID: 33767980 PMCID: PMC7985064 DOI: 10.3389/fonc.2021.602906] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 01/28/2021] [Indexed: 11/13/2022] Open
Abstract
Background Near-infrared fluorescence imaging (NIRFI) of breast cancer (BC) after the intravenous (IV) injection of free indocyanine green (fICG) has been reported to be feasible. However, some questions remained unclarified. Objective To evaluate the distribution of fICG in BC and the axillary lymph nodes (LNs) of women undergoing surgery with complete axillary LN dissection (CALND) and/or selective lymphadenectomy (SLN) of sentinel LNs (NCT no. 01993576 and NCT no. 02027818). Methods An intravenous injection of fICG (0.25 mg/kg) was administered to one series of 20 women undergoing treatment with mastectomy, the day before surgery in 5 (group 1) and immediately before surgery in 15 (group 2: tumor localization, 25; and pN+ CALND, 4) as well as to another series of 20 women undergoing treatment with tumorectomy (group 3). A dedicated NIR camera was used for ex vivo fluorescence imaging of the 45 BC lesions and the LNs. Results In group 1, two of the four BC lesions and one large pN+ LN exhibited fluorescence. In contrast, 24 of the 25 tumors in group 2 and all of the tumors in group 3 were fluorescent. The sentinel LNs were all fluorescent, as well as some of the LNs in all CALND specimens. Metastatic cells were found in the fluorescent LNs of the pN+ cases. Fluorescent BC lesions could be identified ex vivo on the surface of the lumpectomy specimen in 14 of 19 cases. Conclusions When fICG is injected intravenously just before surgery, BC can be detected using NIRFI with high sensitivity, with metastatic axillary LNs also showing fluorescence. Such a technical approach seems promising in the management of BC and merits further investigation.
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Affiliation(s)
- Pierre Bourgeois
- Nuclear Medicine Service, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Isabelle Veys
- Surgery Service, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Danielle Noterman
- Surgery Service, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Filip De Neubourg
- Surgery Service, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Marie Chintinne
- Department of Anatomo-Pathology, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Sophie Vankerckhove
- Nuclear Medicine Service, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Jean-Marie Nogaret
- Surgery Service, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
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25
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Foo KY, Kennedy KM, Zilkens R, Allen WM, Fang Q, Sanderson RW, Anstie J, Dessauvagie BF, Latham B, Saunders CM, Chin L, Kennedy BF. Optical palpation for tumor margin assessment in breast-conserving surgery. BIOMEDICAL OPTICS EXPRESS 2021; 12:1666-1682. [PMID: 33796380 PMCID: PMC7984801 DOI: 10.1364/boe.415888] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 01/22/2021] [Accepted: 01/25/2021] [Indexed: 06/12/2023]
Abstract
Intraoperative margin assessment is needed to reduce the re-excision rate of breast-conserving surgery. One possibility is optical palpation, a tactile imaging technique that maps stress (force applied across the tissue surface) as an indicator of tissue stiffness. Images (optical palpograms) are generated by compressing a transparent silicone layer on the tissue and measuring the layer deformation using optical coherence tomography (OCT). This paper reports, for the first time, the diagnostic accuracy of optical palpation in identifying tumor within 1 mm of the excised specimen boundary using an automated classifier. Optical palpograms from 154 regions of interest (ROIs) from 71 excised tumor specimens were obtained. An automated classifier was constructed to predict the ROI margin status by first choosing a circle diameter, then searching for a location within the ROI where the circle was ≥ 75% filled with high stress (indicating a positive margin). A range of circle diameters and stress thresholds, as well as the impact of filtering out non-dense tissue regions, were tested. Sensitivity and specificity were calculated by comparing the automated classifier results with the true margin status, determined from co-registered histology. 83.3% sensitivity and 86.2% specificity were achieved, compared to 69.0% sensitivity and 79.0% specificity obtained with OCT alone on the same dataset using human readers. Representative optical palpograms show that positive margins containing a range of cancer types tend to exhibit higher stress compared to negative margins. These results demonstrate the potential of optical palpation for margin assessment.
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Affiliation(s)
- Ken Y. Foo
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Australia
- The University of Western Australia, Perth, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Australia
| | - Kelsey M. Kennedy
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Australia
- The University of Western Australia, Perth, Australia
| | - Renate Zilkens
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Australia
- The University of Western Australia, Perth, Australia
- School of Medicine, The University of Western Australia, Perth, Australia
| | - Wes M. Allen
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Australia
- The University of Western Australia, Perth, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Australia
| | - Qi Fang
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Australia
- The University of Western Australia, Perth, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Australia
| | - Rowan W. Sanderson
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Australia
- The University of Western Australia, Perth, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Australia
| | - James Anstie
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Australia
- The University of Western Australia, Perth, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Australia
| | - Benjamin F. Dessauvagie
- School of Medicine, The University of Western Australia, Perth, Australia
- PathWest, Fiona Stanley Hospital, Murdoch, Australia
| | - Bruce Latham
- PathWest, Fiona Stanley Hospital, Murdoch, Australia
- School of Medicine, University of Notre Dame, Fremantle, Australia
| | - Christobel M. Saunders
- School of Medicine, The University of Western Australia, Perth, Australia
- Breast Centre, Fiona Stanley Hospital, Murdoch, Australia
- Breast Clinic, Royal Perth Hospital, Perth, Australia
| | - Lixin Chin
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Australia
- The University of Western Australia, Perth, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Australia
| | - Brendan F. Kennedy
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Australia
- The University of Western Australia, Perth, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Australia
- Australian Research Council Centre for Personalised Therapeutics Technologies, Perth, Australia
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26
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Koya SK, Brusatori M, Yurgelevic S, Huang C, Werner CW, Kast RE, Shanley J, Sherman M, Honn KV, Maddipati KR, Auner GW. Accurate identification of breast cancer margins in microenvironments of ex-vivo basal and luminal breast cancer tissues using Raman spectroscopy. Prostaglandins Other Lipid Mediat 2020; 151:106475. [PMID: 32711127 DOI: 10.1016/j.prostaglandins.2020.106475] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 07/06/2020] [Accepted: 07/16/2020] [Indexed: 11/23/2022]
Abstract
Better knowledge of the breast tumor microenvironment is required for surgical resection and understanding the processes of tumor development. Raman spectroscopy is a promising tool that can assist in uncovering the molecular basis of disease and provide quantifiable molecular information for diagnosis and treatment evaluation. In this work, eighty-eight frozen breast tissue sections, including forty-four normal and forty-four tumor sections, were mapped in their entirety using a 250-μm-square measurement grid. Two or more smaller regions of interest within each tissue were additionally mapped using a 25 μm-square step size. A deep learning algorithm, convolutional neural network (CNN), was developed to distinguish histopathologic features with-in individual and across multiple tissue sections. Cancerous breast tissue were discriminated from normal breast tissue with 90 % accuracy, 88.8 % sensitivity and 90.8 % specificity with an excellent Area Under the Receiver Operator Curve (AUROC) of 0.96. Features that contributed significantly to the model were identified and used to generate RGB images of the tissue sections. For each grid point (pixel) on a Raman map, color was assigned to intensities at frequencies of 1002 cm-1 (Phenylalanine), 869 cm-1 (Proline, CC stretching of hydroxyproline-collagen assignment, single bond stretching vibrations for the amino acids proline, valine and polysaccharides) and 1309 cm-1 (CH3/CH2 twisting or bending mode of lipids). The Raman images clearly associate with hematoxylin and eosin stained tissue sections and allow clear visualization of boundaries between normal adipose, connective tissue and tumor. We demonstrated that this simple imaging technique allows high-resolution, straightforward molecular interpretation of Raman images. Raman spectroscopy provides rapid, label-free imaging of microscopic features with high accuracy. This method has application as laboratory tool and can assist with intraoperative tissue assessment during Breast Conserving surgery.
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Affiliation(s)
- S Kiran Koya
- Smart Sensors and Integrated Microsystems, Michael & Marian Ilitch Department of Surgery, School of Medicine, Wayne State University, Detroit, MI, 48201, USA.
| | - Michelle Brusatori
- Smart Sensors and Integrated Microsystems, Michael & Marian Ilitch Department of Surgery, School of Medicine, Wayne State University, Detroit, MI, 48201, USA; Department of Biomedical Engineering, Wayne State University, Detroit, MI, 48201, USA.
| | - Sally Yurgelevic
- Smart Sensors and Integrated Microsystems, Michael & Marian Ilitch Department of Surgery, School of Medicine, Wayne State University, Detroit, MI, 48201, USA.
| | - Changhe Huang
- Smart Sensors and Integrated Microsystems, Michael & Marian Ilitch Department of Surgery, School of Medicine, Wayne State University, Detroit, MI, 48201, USA.
| | - Cameron W Werner
- Smart Sensors and Integrated Microsystems, Michael & Marian Ilitch Department of Surgery, School of Medicine, Wayne State University, Detroit, MI, 48201, USA.
| | - Rachel E Kast
- Smart Sensors and Integrated Microsystems, Michael & Marian Ilitch Department of Surgery, School of Medicine, Wayne State University, Detroit, MI, 48201, USA.
| | - John Shanley
- Smart Sensors and Integrated Microsystems, Michael & Marian Ilitch Department of Surgery, School of Medicine, Wayne State University, Detroit, MI, 48201, USA.
| | - Mark Sherman
- Division of Cancer Prevention, National Cancer Institute, 9609, Medical Center Drive, Bethesda, MD, 20892, USA
| | - Kenneth V Honn
- Department of Pathology, Oncology and Chemistry, Wayne State University, Detroit, MI, 48202, USA.
| | - Krishna Rao Maddipati
- Department of Pathology, Oncology and Chemistry, Wayne State University, Detroit, MI, 48202, USA.
| | - Gregory W Auner
- Smart Sensors and Integrated Microsystems, Michael & Marian Ilitch Department of Surgery, School of Medicine, Wayne State University, Detroit, MI, 48201, USA; Department of Biomedical Engineering, Wayne State University, Detroit, MI, 48201, USA.
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27
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Göker M, Marcinkowski R, Van Bockstal M, Keereman V, Van Holen R, Van Dorpe J, Vandenberghe S, Brans B, Depypere H, Van den Broecke R. 18F-FDG micro-PET/CT for intra-operative margin assessment during breast-conserving surgery. Acta Chir Belg 2020; 120:366-374. [PMID: 32452298 DOI: 10.1080/00015458.2020.1774163] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Rationale: Positive surgical margins for invasive breast cancer (BC) treated with breast-conserving surgery (BCS) are defined as ink on tumor. The rate of positive margins is approximately 20%, since a time- and cost-effective method for margin assessment is lacking. In this study, we investigated margin status by intra-operative imaging using high-resolution 18 F-fluoro-deoxyglucose (FDG) positron emission tomography (PET) and X-ray computed tomography (CT).Methods: Twenty patients were enrolled and received 4 MBq/kg of FDG prior to surgery. Intra-operative imaging of the specimens was performed by the MOLECUBES β-CUBE (PET) and X-CUBE (CT). Margin status was assessed by three surgeons and compared with an algorithm. The sensitivity and specificity were calculated by using histopathological assessment as a gold standard.Results: A region with high FDG uptake was visualized in all specimens. Automated analysis showed a sensitivity of 90%, a specificity of 60%, and an area under the curve (AUC) of 0.86 after ROC analysis. Margin assessment by the surgeons resulted in a mean sensitivity and specificity of 79% and 72%, respectively.Conclusions: This proof-of-concept study demonstrates that high-resolution FDG-PET/CT can facilitate intra-operative margin assessment during BCS. This technique achieves good sensitivity and specificity and may therefore reduce re-operation rates in the future.
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Affiliation(s)
- Menekse Göker
- Department of Gynecology, Ghent University Hospital, Ghent, Belgium
| | | | - Mieke Van Bockstal
- Department of Pathological Anatomy, Ghent University Hospital, Ghent, Belgium
- Department of Pathology, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Vincent Keereman
- MOLECUBES NV, MeetDistrict – Ghelamco Arena, Ghent, Belgium
- Department of Electronics and Information Systems, MEDISIP, Ghent University, Ghent, Belgium
| | - Roel Van Holen
- MOLECUBES NV, MeetDistrict – Ghelamco Arena, Ghent, Belgium
- Department of Electronics and Information Systems, MEDISIP, Ghent University, Ghent, Belgium
| | - Jo Van Dorpe
- Department of Pathological Anatomy, Ghent University Hospital, Ghent, Belgium
| | - Stefaan Vandenberghe
- Department of Electronics and Information Systems, MEDISIP, Ghent University, Ghent, Belgium
| | - Boudewijn Brans
- Department of Nuclear Medicine, Ghent University Hospital, Ghent, Belgium
| | - Herman Depypere
- Department of Gynecology, Ghent University Hospital, Ghent, Belgium
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Aboughaleb IH, Aref MH, El-Sharkawy YH. Hyperspectral imaging for diagnosis and detection of ex-vivo breast cancer. Photodiagnosis Photodyn Ther 2020; 31:101922. [PMID: 32726640 DOI: 10.1016/j.pdpdt.2020.101922] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 06/09/2020] [Accepted: 07/10/2020] [Indexed: 01/28/2023]
Abstract
BACKGROUND AND PURPOSE Breast cancer is one of the most widely recognized tumors. .Diagnosis made in the early stage of disease may imporve outcomes. The discovery of malignant growth utilizing noninvasive light intrusive methods in lieu of conventional excisional biopsy may assist in achieving this goal. MATERIALS AND METHODS The change of the optical properties of ex-vivo breast tissues provides different responses to light transmission, absorption, and particularly the reflection over the spectrum range. We offer the use of Hyperspectral imaging (HSI) with advanced image processing and pattern recognition in order to analyze HSI data for breast cancer detection. The spectral signatures were mined and evaluated in both malignant and normal tissue. K-mean clustering was designed for classifying hyperspectral data in order to evaluate and detection of cancer tissue. This method was used to detect ex-vivo breast cancer. Spatial spectral images were created to high spot the differences in the reflectance properties of malignant versus normal tissue. RESULTS Trials showed that the superficial spectral reflection images within 500 nm wavelength showed high variance (214.65) between cancerous and normal breast tissues. On the other hand, image within 620 nm wavelength showed low variance (0.0020).However, the superimposed of spectral region 420-620 nm was proposed as the optimum bandwidth. Finally, the proposed HS imaging system was capable to discriminate the tumor region from normal tissue of the ex-vivo breast sample with sensitivity and a specificity of 95 % and 96 %. CONCLUSIONS High sensitivity and specificity were achieved, which proposes potential for HSI as an edge evaluation method to enhance the surgical outcome compared to the presently available techniques in the clinics.
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Affiliation(s)
- Ibrahim H Aboughaleb
- Military Technical College, Biomedical Engineering Department, El-Fangary Street, Cairo, Egypt.
| | - Mohamed Hisham Aref
- Military Technical College, Biomedical Engineering Department, El-Fangary Street, Cairo, Egypt.
| | - Yasser H El-Sharkawy
- Military Technical College, Biomedical Engineering Department, El-Fangary Street, Cairo, Egypt.
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29
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Outcomes of Volume Replacement Oncoplastic Breast-Conserving Surgery Using Chest Wall Perforator Flaps: Comparison with Volume Displacement Oncoplastic Surgery and Total Breast Reconstruction. Plast Reconstr Surg 2020; 146:14-27. [DOI: 10.1097/prs.0000000000006911] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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30
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Foo KY, Chin L, Zilkens R, Lakhiani DD, Fang Q, Sanderson R, Dessauvagie BF, Latham B, McLaren S, Saunders CM, Kennedy BF. Three-dimensional mapping of the attenuation coefficient in optical coherence tomography to enhance breast tissue microarchitecture contrast. JOURNAL OF BIOPHOTONICS 2020; 13:e201960201. [PMID: 32141243 DOI: 10.1002/jbio.201960201] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 02/16/2020] [Accepted: 03/04/2020] [Indexed: 06/10/2023]
Abstract
Effective intraoperative tumor margin assessment is needed to reduce re-excision rates in breast-conserving surgery (BCS). Mapping the attenuation coefficient in optical coherence tomography (OCT) throughout a sample to create an image (attenuation imaging) is one promising approach. For the first time, three-dimensional OCT attenuation imaging of human breast tissue microarchitecture using a wide-field (up to ~45 × 45 × 3.5 mm) imaging system is demonstrated. Representative results from three mastectomy and one BCS specimen (from 31 specimens) are presented with co-registered postoperative histology. Attenuation imaging is shown to provide substantially improved contrast over OCT, delineating nuanced features within tumors (including necrosis and variations in tumor cell density and growth patterns) and benign features (such as sclerosing adenosis). Additionally, quantitative micro-elastography (QME) images presented alongside OCT and attenuation images show that these techniques provide complementary contrast, suggesting that multimodal imaging could increase tissue identification accuracy and potentially improve tumor margin assessment.
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Affiliation(s)
- Ken Y Foo
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Crawley, Western Australia, Australia
| | - Lixin Chin
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Crawley, Western Australia, Australia
| | - Renate Zilkens
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Division of Surgery, Medical School, The University of Western Australia, Crawley, Western Australia, Australia
| | - Devina D Lakhiani
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Crawley, Western Australia, Australia
| | - Qi Fang
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Crawley, Western Australia, Australia
| | - Rowan Sanderson
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Crawley, Western Australia, Australia
| | - Benjamin F Dessauvagie
- PathWest, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
- Division of Pathology and Laboratory Medicine, The University of Western Australia, Crawley, Western Australia, Australia
| | - Bruce Latham
- PathWest, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
- The University of Notre Dame, Fremantle, Western Australia, Australia
| | - Sally McLaren
- PathWest Laboratory Medicine WA, QEII Medical Centre, Nedlands, Western Australia, Australia
| | - Christobel M Saunders
- Division of Surgery, Medical School, The University of Western Australia, Crawley, Western Australia, Australia
- Breast Centre, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
- Breast Clinic, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Brendan F Kennedy
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Crawley, Western Australia, Australia
- Australian Research Council Centre for Personalised Therapeutics Technologies, Perth, Western Australia, Australia
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31
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Mariscotti G, Durando M, Pavan LJ, Tagliafico A, Campanino PP, Castellano I, Bussone R, Ala A, De Sanctis C, Bergamasco L, Fonio P, Houssami N. Intraoperative breast specimen assessment in breast conserving surgery: comparison between standard mammography imaging and a remote radiological system. Br J Radiol 2020; 93:20190785. [PMID: 32101449 PMCID: PMC7217569 DOI: 10.1259/bjr.20190785] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 02/07/2020] [Accepted: 02/16/2020] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE To compare standard specimen mammography (SSM) with remote intraoperative specimen mammography (ISM) assessment in breast conserving-surgery (BCS) based on operative times, intraoperative additional excision (IAE) and re-intervention rates. METHODS AND MATERIALS We retrospectively compared 129 consecutive patients (136 lesions) who had BCS with SSM at our centre between 11/2011 and 02/2013 with 138 consecutive patients (144 lesions) who underwent BCS with ISM between 08/2014 and 02/2015.SSM or ISM were performed to confirm the target lesions within the excised specimen and margin adequacy. The utility of SMM and ISM was evaluated considering pathology as gold-standard, using χ2 or Fisher's exact tests for comparison of categorical variables, and non-parametric Mann-Whitney test for continuous variables. RESULTS The two groups did not statistically differ for age (p = 0.20), lesion size (p = 0.29) and morphology (p = 0.82) or tumor histology type (p = 0.65). Intraoperative time was significantly longer (p < 0.00001) for SSM (132 ± 43 min) than for ISM (90 ± 42 min). The proportions requiring IAE did not significantly differ between SSM group (39/136 lesions (40%)) and ISM group (52/144 lesions (57%)) (p = 0.19), overall and in stratified analysis by mammographic features. Re-intervention rates were not statistically different between the two groups [SSM:19/136 (14%), ISM:13/144 (9%); p = 0.27]. CONCLUSION The introduction of ISM in BCS significantly reduced surgical time but did not change IAE and re-intervention rates, highlighting facilitated communication between surgeons and radiologists. ADVANCES IN KNOWLEDGE Compared to standard mammography imaging, the use of ISM significantly reduced surgical time.
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Affiliation(s)
- Giovanna Mariscotti
- Department of Diagnostic Imaging and Radiotherapy, Radiology Institute, University of Turin, A. O. U. Città della Salute e della Scienza di Torino, Presidio Ospedaliero Molinette Via Genova 3, 10126 Torino, Italy
| | - Manuela Durando
- Department of Diagnostic Imaging and Radiotherapy, Radiology Institute, University of Turin, A. O. U. Città della Salute e della Scienza di Torino, Presidio Ospedaliero Molinette Via Genova 3, 10126 Torino, Italy
| | - Luca Jacopo Pavan
- Department of Diagnostic Imaging and Radiotherapy, Radiology Institute, University of Turin, A. O. U. Città della Salute e della Scienza di Torino, Presidio Ospedaliero Molinette Via Genova 3, 10126 Torino, Italy
| | - Alberto Tagliafico
- Department of Experimental Medicine, University of Genoa IRCCS AOU San Martino – IST Istituto Nazionale per la Ricerca sul Cancro, 16132 Genoa, Italy
| | - Pier Paolo Campanino
- Breast Imaging Service. Ospedale Koelliker.C.so Galileo Ferraris 256 – 10100, Torino, Italy
| | - Isabella Castellano
- Department of Medical Sciences, University of Turin, A. O. U. Città della Salute e della Scienza di Torino, Presidio Ospedaliero Molinette, Via Santena, 7, Torino, Italy
| | - Riccardo Bussone
- Breast Surgery, Presidio Sanitario Ospedale Cottolengo Via S. Giuseppe Benedetto Cottolengo, 9 - 10152, Torino, Italy
| | - Ada Ala
- Breast Surgery, Department of Surgery, A. O. U. Città della Salute e della Scienza di Torino, Presidio Ospedaliero S. Anna, Via Ventimiglia, 1, 10126, Torino, Italy
| | - Corrado De Sanctis
- Department of Gynecology and Obstetrics, Breast Unit, A.O.U. Città della Salute e della Scienza di Torino, Presidio Ospedaliero S. Anna, Via Ventimiglia, 1, 10126 Torino, Italy
| | - Laura Bergamasco
- Department of Surgical Sciences, University of Torino, A. O. U. Città della Salute e della Scienza di Torino, Presidio Ospedaliero Molinette, C.so Bramante 88, 10126 Torino, Italy
| | - Paolo Fonio
- Department of Diagnostic Imaging and Radiotherapy, Radiology Institute, University of Turin, A. O. U. Città della Salute e della Scienza di Torino, Presidio Ospedaliero Molinette Via Genova 3, 10126 Torino, Italy
| | - Nehmat Houssami
- Screening and Test Evaluation Program, School of Public Health, Sydney Medical School, University of Sydney, Sydney, 2006, NSW, Australia
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32
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DiCorpo D, Tiwari A, Tang R, Griffin M, Aftreth O, Bautista P, Hughes K, Gershenfeld N, Michaelson J. The role of Micro-CT in imaging breast cancer specimens. Breast Cancer Res Treat 2020; 180:343-357. [PMID: 32020431 DOI: 10.1007/s10549-020-05547-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Accepted: 01/22/2020] [Indexed: 12/25/2022]
Abstract
PURPOSE The goal of breast cancer surgery is to remove all of the cancer with a minimum of normal tissue, but absence of full 3-dimensional information on the specimen makes this difficult to achieve. METHOD Micro-CT is a high resolution, X-ray, 3D imaging method, widely used in industry but rarely in medicine. RESULTS We imaged and analyzed 173 partial mastectomies (129 ductal carcinomas, 14 lobular carcinomas, 28 DCIS). Imaging was simple and rapid. The size and shape of the cancers seen on Micro-CT closely matched the size and shape of the cancers seen at specimen dissection. Micro-CT images of multicentric/multifocal cancers revealed multiple non-contiguous masses. Micro-CT revealed cancer touching the specimen edge for 93% of the 114 cases judged margin positive by the pathologist, and 28 of the cases not seen as margin positive on pathological analysis; cancer occupied 1.55% of surface area when both the pathologist and Micro-CT suggested cancer at the edge, but only 0.45% of surface area for the "Micro-CT-Only-Positive Cases". Thus, Micro-CT detects cancers that touch a very small region of the specimen surface, which is likely to be missed on sectioning. CONCLUSIONS Micro-CT provides full 3D images of breast cancer specimens, allowing one to identify, in minutes rather than hours, while the patient is in OR, margin-positive cancers together with information on where the cancer touches the edge, in a fashion more accurate than possible from the histology slides alone.
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Affiliation(s)
- Daniel DiCorpo
- Laboratory for Quantitative Medicine, Massachusetts General Hospital, Boston, MA, 02115, USA
| | - Ankur Tiwari
- Laboratory for Quantitative Medicine, Massachusetts General Hospital, Boston, MA, 02115, USA.,Division of Surgical Oncology, Massachusetts General Hospital, Boston, MA, 02115, USA
| | - Rong Tang
- Division of Surgical Oncology, Massachusetts General Hospital, Boston, MA, 02115, USA
| | - Molly Griffin
- Laboratory for Quantitative Medicine, Massachusetts General Hospital, Boston, MA, 02115, USA
| | - Owen Aftreth
- Department of Urology, Los Angeles Medical Center, Kaiser Permanente, Los Angeles, CA, USA
| | - Pinky Bautista
- Laboratory for Quantitative Medicine, Massachusetts General Hospital, Boston, MA, 02115, USA
| | - Kevin Hughes
- Division of Surgical Oncology, Massachusetts General Hospital, Boston, MA, 02115, USA
| | - Neil Gershenfeld
- MIT Center for Bits and Atoms, Room E15-401, 20 Ames Street, Cambridge, MA, 02139, USA
| | - James Michaelson
- Laboratory for Quantitative Medicine, Massachusetts General Hospital, Boston, MA, 02115, USA. .,Division of Surgical Oncology, Massachusetts General Hospital, Boston, MA, 02115, USA. .,Department of Pathology, Massachusetts General Hospital, Boston, MA, 02115, USA. .,Department of Pathology, Harvard Medical School, Boston, MA, 02115, USA. .,, 12 Sheeps Crossing Lane, Woods Hole, USA.
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Nowikiewicz T, Śrutek E, Głowacka-Mrotek I, Tarkowska M, Żyromska A, Zegarski W. Clinical outcomes of an intraoperative surgical margin assessment using the fresh frozen section method in patients with invasive breast cancer undergoing breast-conserving surgery - a single center analysis. Sci Rep 2019; 9:13441. [PMID: 31530867 PMCID: PMC6748937 DOI: 10.1038/s41598-019-49951-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Accepted: 08/30/2019] [Indexed: 11/10/2022] Open
Abstract
Breast conserving treatment (BCT) is a safe standard therapeutic method in patients with early invasive breast cancer. However, it is associated with an increased risk of residual neoplastic tissues in surgical margins. The aim of this study was to assess the outcome of the use of the intraoperative pathologic analysis by the frozen section (FS) method for evaluation of the extent of the primary lumpectomy. The study concerns a retrospective analysis of a group of 1102 patients who underwent BCT between Jan 2015 and Dec 2016. The assessment focused on the frequency of the intraoperative pathologic analysis of the primary lumpectomy extent (fresh frozen section method). The influence of the BCT specimen analysis method on the free margins width, as well as the rate and the cause of reoperation were evaluated. The intraoperative lumpectomy evaluation was performed in 45.8% (505/1102) of patients (Group I), while in the remaining 54.2% of the cases it was decided to abandon this procedure (Group II). Although in 72 (14.3%) patients the intraoperative analysis gave negative results, the margins contained residual tumor tissue (vs. 16.9% in Group II). In Group I, conversion from the previously planned BCT to mastectomy was necessary in 5.9% (30/505) patients (vs. 9.7% in Group II). The duration of surgery was 48.9 ± 17.3 minutes (Group I) and 42.9 ± 13.6 minutes (Group II). In patients undergoing BCT, the use of the intraoperative pathologic analysis by the FS method resulted in a reduction of the total number of reoperations performed due to residual tumor found in the margins following the primary lumpectomy. However, it statistically significantly extended the duration of the surgery.
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Affiliation(s)
- Tomasz Nowikiewicz
- Chair and Department of Surgical Oncology, Ludwik Rydygier's Collegium Medicum UMK in Bydgoszcz, Prof I. Romanowskiej 2, 85-796, Bydgoszcz, Poland. .,Department of Clinical Breast Cancer and Reconstructive Surgery, Oncology Centre-Prof. Franciszek Łukaszczyk Memorial Hospital, Prof I. Romanowskiej 2, 85-796, Bydgoszcz, Poland.
| | - Ewa Śrutek
- Chair and Department of Surgical Oncology, Ludwik Rydygier's Collegium Medicum UMK in Bydgoszcz, Prof I. Romanowskiej 2, 85-796, Bydgoszcz, Poland
| | - Iwona Głowacka-Mrotek
- Department of Rehabilitation, Ludwik Rydygier's Collegium Medicum UMK in Bydgoszcz, M. Sklodowskiej-Curie 9, 85-001, Bydgoszcz, Poland
| | - Magdalena Tarkowska
- Department of Laser Therapy and Physiotherapy, Ludwik Rydygier's Collegium Medicum UMK in Bydgoszcz, M. Sklodowskiej-Curie 9, 85-001, Bydgoszcz, Poland
| | - Agnieszka Żyromska
- Chair and Clinic of Oncology and Brachytherapy, Nicolaus Copernicus University Ludwik Rydygier Collegium Medicum in Bydgoszcz, Prof I. Romanowskiej 2, 85-796, Bydgoszcz, Poland.,Amethyst Radiotherapy Centre, Zgorzelec, Poland
| | - Wojciech Zegarski
- Chair and Department of Surgical Oncology, Ludwik Rydygier's Collegium Medicum UMK in Bydgoszcz, Prof I. Romanowskiej 2, 85-796, Bydgoszcz, Poland
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Kho E, Dashtbozorg B, de Boer LL, Van de Vijver KK, Sterenborg HJCM, Ruers TJM. Broadband hyperspectral imaging for breast tumor detection using spectral and spatial information. BIOMEDICAL OPTICS EXPRESS 2019; 10:4496-4515. [PMID: 31565506 PMCID: PMC6757478 DOI: 10.1364/boe.10.004496] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 07/26/2019] [Accepted: 07/29/2019] [Indexed: 05/20/2023]
Abstract
Complete tumor removal during breast-conserving surgery remains challenging due to the lack of optimal intraoperative margin assessment techniques. Here, we use hyperspectral imaging for tumor detection in fresh breast tissue. We evaluated different wavelength ranges and two classification algorithms; a pixel-wise classification algorithm and a convolutional neural network that combines spectral and spatial information. The highest classification performance was obtained using the full wavelength range (450-1650 nm). Adding spatial information mainly improved the differentiation of tissue classes within the malignant and healthy classes. High sensitivity and specificity were accomplished, which offers potential for hyperspectral imaging as a margin assessment technique to improve surgical outcome.
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Affiliation(s)
- Esther Kho
- Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, Netherlands
| | - Behdad Dashtbozorg
- Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, Netherlands
- Department of Biomedical Engineering, Eindhoven University of Technology, 5600MB Eindhoven, Netherlands
| | - Lisanne L. de Boer
- Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, Netherlands
| | - Koen K. Van de Vijver
- Department of Pathology, Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, Netherlands
- Department of Pathology, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Gent, Belgium
| | - Henricus J. C. M. Sterenborg
- Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, Netherlands
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Center, Meibergdreef 9, 1105AZ Amsterdam, Netherlands
| | - Theo J. M. Ruers
- Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, Netherlands
- Faculty of Science and Technology, University of Twente, Drienerlolaan 5, 7522NB Enschede, Netherlands
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35
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Bruenderman EH, Bhutiani N, Mercer MK, McMasters KM, Sanders MAG, Ajkay NL. Evaluating the relationship between ductal carcinoma in situ, calcifications, and margin status in patients undergoing breast conserving surgery. J Surg Oncol 2019; 119:694-699. [DOI: 10.1002/jso.25388] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Accepted: 01/14/2019] [Indexed: 11/10/2022]
Affiliation(s)
| | - Neal Bhutiani
- Division of Surgical OncologyDepartment of SurgeryUniversity of LouisvilleLouisville Kentucky
| | - Megan K. Mercer
- Division of Surgical OncologyDepartment of SurgeryUniversity of LouisvilleLouisville Kentucky
| | - Kelly M. McMasters
- Division of Surgical OncologyDepartment of SurgeryUniversity of LouisvilleLouisville Kentucky
| | | | - Nico lás Ajkay
- Division of Surgical OncologyDepartment of SurgeryUniversity of LouisvilleLouisville Kentucky
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Hellerhoff K, Birnbacher L, Sztrókay-Gaul A, Grandl S, Auweter S, Willner M, Marschner M, Mayr D, Reiser MF, Pfeiffer F, Herzen J. Assessment of intraductal carcinoma in situ (DCIS) using grating-based X-ray phase-contrast CT at conventional X-ray sources: An experimental ex-vivo study. PLoS One 2019; 14:e0210291. [PMID: 30625220 PMCID: PMC6326478 DOI: 10.1371/journal.pone.0210291] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Accepted: 11/08/2018] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The extent of intraductal carcinoma in situ (DCIS) is commonly underestimated due to the discontinuous growth and lack of microcalcifications. Specimen radiography has been established to reduce the rate of re-excision. However, the predictive value for margin assessment with conventional specimen radiography for DCIS is low. In this study we assessed the potential of grating-based phase-contrast computed tomography (GBPC-CT) at conventional X-ray sources for specimen tomography of DCIS containing samples. MATERIALS AND METHODS GBPC-CT was performed on four ex-vivo breast specimens containing DCIS and invasive carcinoma of non-specific type. Phase-contrast and absorption-based datasets were manually matched with corresponding histological slices as the standard of reference. RESULTS Matching of CT images and histology was successful. GBPC-CT showed an improved soft tissue contrast compared to absorption-based images revealing more histological details in the same sections. Non-calcifying DCIS exceeding the invasive tumor could be correlated to areas of dilated bright ducts around the tumor. CONCLUSIONS GBPC-CT imaging at conventional X-ray sources offers improved depiction quality for the imaging of breast tissue samples compared to absorption-based imaging, allows the identification of diagnostically relevant tissue details, and provides full three-dimensional assessment of sample margins.
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MESH Headings
- Breast Neoplasms/diagnostic imaging
- Breast Neoplasms/pathology
- Breast Neoplasms/surgery
- Calcinosis/diagnostic imaging
- Calcinosis/pathology
- Carcinoma, Ductal, Breast/diagnostic imaging
- Carcinoma, Ductal, Breast/pathology
- Carcinoma, Intraductal, Noninfiltrating/diagnostic imaging
- Carcinoma, Intraductal, Noninfiltrating/pathology
- Carcinoma, Intraductal, Noninfiltrating/surgery
- Female
- Humans
- In Vitro Techniques
- Mammography/methods
- Microscopy, Phase-Contrast/methods
- Prospective Studies
- Tomography, X-Ray Computed/methods
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Affiliation(s)
- Karin Hellerhoff
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
- Abteilung für Diagnostische Radiologie, Rotkreuzklinikum München, Munich, Germany
| | - Lorenz Birnbacher
- Chair of Biomedical Physics, Department of Physics & Munich School of BioEngineering, Technical University of Munich, Garching, Germany
- * E-mail:
| | - Anikó Sztrókay-Gaul
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
- Abteilung für Diagnostische Radiologie, Rotkreuzklinikum München, Munich, Germany
| | - Susanne Grandl
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
- Abteilung für Diagnostische Radiologie, Rotkreuzklinikum München, Munich, Germany
| | - Sigrid Auweter
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Marian Willner
- Chair of Biomedical Physics, Department of Physics & Munich School of BioEngineering, Technical University of Munich, Garching, Germany
| | - Mathias Marschner
- Chair of Biomedical Physics, Department of Physics & Munich School of BioEngineering, Technical University of Munich, Garching, Germany
| | - Doris Mayr
- Institute of Pathology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Maximilian F. Reiser
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Franz Pfeiffer
- Chair of Biomedical Physics, Department of Physics & Munich School of BioEngineering, Technical University of Munich, Garching, Germany
- Institute of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Julia Herzen
- Chair of Biomedical Physics, Department of Physics & Munich School of BioEngineering, Technical University of Munich, Garching, Germany
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de Boer LL, Bydlon TM, van Duijnhoven F, Vranken Peeters MJTFD, Loo CE, Winter-Warnars GAO, Sanders J, Sterenborg HJCM, Hendriks BHW, Ruers TJM. Towards the use of diffuse reflectance spectroscopy for real-time in vivo detection of breast cancer during surgery. J Transl Med 2018; 16:367. [PMID: 30567584 PMCID: PMC6299954 DOI: 10.1186/s12967-018-1747-5] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Accepted: 12/13/2018] [Indexed: 12/31/2022] Open
Abstract
Background Breast cancer surgeons struggle with differentiating healthy tissue from cancer at the resection margin during surgery. We report on the feasibility of using diffuse reflectance spectroscopy (DRS) for real-time in vivo tissue characterization. Methods Evaluating feasibility of the technology requires a setting in which measurements, imaging and pathology have the best possible correlation. For this purpose an optical biopsy needle was used that had integrated optical fibers at the tip of the needle. This approach enabled the best possible correlation between optical measurement volume and tissue histology. With this optical biopsy needle we acquired real-time DRS data of normal tissue and tumor tissue in 27 patients that underwent an ultrasound guided breast biopsy procedure. Five additional patients were measured in continuous mode in which we obtained DRS measurements along the entire biopsy needle trajectory. We developed and compared three different support vector machine based classification models to classify the DRS measurements. Results With DRS malignant tissue could be discriminated from healthy tissue. The classification model that was based on eight selected wavelengths had the highest accuracy and Matthews Correlation Coefficient (MCC) of 0.93 and 0.87, respectively. In three patients that were measured in continuous mode and had malignant tissue in their biopsy specimen, a clear transition was seen in the classified DRS measurements going from healthy tissue to tumor tissue. This transition was not seen in the other two continuously measured patients that had benign tissue in their biopsy specimen. Conclusions It was concluded that DRS is feasible for integration in a surgical tool that could assist the breast surgeon in detecting positive resection margins during breast surgery. Trail registration NIH US National Library of Medicine–clinicaltrails.gov, NCT01730365. Registered: 10/04/2012 https://clinicaltrials.gov/ct2/show/study/NCT01730365
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Affiliation(s)
- Lisanne L de Boer
- Department of Surgery, the Netherlands Cancer Institute-Antoni van Leeuwenhoek, Plesmanlaan 121, Postbus 90203, 1066 CX, Amsterdam, The Netherlands.
| | - Torre M Bydlon
- In-body Systems, Philips Research, High Tech, Campus 34, 5656 AE, Eindhoven, The Netherlands
| | - Frederieke van Duijnhoven
- Department of Surgery, the Netherlands Cancer Institute-Antoni van Leeuwenhoek, Plesmanlaan 121, Postbus 90203, 1066 CX, Amsterdam, The Netherlands
| | - Marie-Jeanne T F D Vranken Peeters
- Department of Surgery, the Netherlands Cancer Institute-Antoni van Leeuwenhoek, Plesmanlaan 121, Postbus 90203, 1066 CX, Amsterdam, The Netherlands
| | - Claudette E Loo
- Department of Radiology, the Netherlands Cancer Institute-Antoni van Leeuwenhoek, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Gonneke A O Winter-Warnars
- Department of Radiology, the Netherlands Cancer Institute-Antoni van Leeuwenhoek, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Joyce Sanders
- Department of Pathology, the Netherlands Cancer Institute-Antoni van Leeuwenhoek, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Henricus J C M Sterenborg
- Department of Surgery, the Netherlands Cancer Institute-Antoni van Leeuwenhoek, Plesmanlaan 121, Postbus 90203, 1066 CX, Amsterdam, The Netherlands.,Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Benno H W Hendriks
- In-body Systems, Philips Research, High Tech, Campus 34, 5656 AE, Eindhoven, The Netherlands.,Biomechanical Engineering, Delft University of Technology, Mekelweg 5, 2628 CD, Delft, The Netherlands
| | - Theo J M Ruers
- Department of Surgery, the Netherlands Cancer Institute-Antoni van Leeuwenhoek, Plesmanlaan 121, Postbus 90203, 1066 CX, Amsterdam, The Netherlands.,Technical Medical Centre, University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands
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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: 2.6] [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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Tan MP, Silva E. Future perspectives for breast conservation treatment: science & art. Gland Surg 2018; 7:501-505. [PMID: 30687623 PMCID: PMC6323253 DOI: 10.21037/gs.2018.12.03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Mona P Tan
- Breast Surgeon, MammoCare, Singapore, Singapore.
| | - Edibaldo Silva
- Department of Surgery, University of Nebraska Medical Centre, Nebraska Medical Centre, Omaha, NE, USA.
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Präger M, Kiechle M, Stollenwerk B, Hinzen C, Glatz J, Vogl M, Leidl R. Costs and effects of intra-operative fluorescence molecular imaging - A model-based, early assessment. PLoS One 2018; 13:e0198137. [PMID: 29856875 PMCID: PMC5983425 DOI: 10.1371/journal.pone.0198137] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Accepted: 05/14/2018] [Indexed: 11/25/2022] Open
Abstract
Introduction Successful breast conserving cancer surgeries come along with tumor free resection margins and account for cosmetic outcome. Positive margins increase the likelihood of tumor recurrence. Intra-operative fluorescence molecular imaging (IFMI) aims to focus surgery on malignant tissue thus substantially lowering the presence of positive margins as compared with standard techniques of breast conservation (ST). A goal of this paper is to assess the incremental number of surgeries and costs of IFMI vs. ST. Methods We developed a decision analytical model and applied it for an early evaluation approach. Given uncertainty we considered that IFMI might reduce the proportion of positive margins found by ST from all to none and this proportion is assumed to be reduced to 10% for the base case. Inputs included data from the literature and a range of effect estimates. For the costs of IFMI, respective cost components were added to those of ST. Results The base case reduction lowered number of surgeries (mean [95% confidence interval]) by 0.22 [0.15; 0.30] and changed costs (mean [95% confidence interval]) by €-663 [€-1,584; €50]. A tornado diagram identified the Diagnosis Related Group (DRG) costs, the proportion of positive margins of ST, the staff time saving factor and the duration of frozen section analysis (FSA) as important determinants of this cost. Conclusions These early results indicate that IFMI may be more effective than ST and through the reduction of positive margins it is possible to save follow-up surgeries–indicating further health risk–and to save costs through this margin reduction and the avoidance of FSA.
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Affiliation(s)
- Maximilian Präger
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München (GmbH)—German Research Center for Environmental Health, Neuherberg, Germany
- * E-mail:
| | - Marion Kiechle
- Center for Hereditary Breast and Ovarian Cancer, Department of Gynecology, Klinikum Rechts der Isar, Technical University Munich (TUM), Munich, Germany
- Comprehensive Cancer Center Munich (CCCM), Munich, Germany
| | - Björn Stollenwerk
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München (GmbH)—German Research Center for Environmental Health, Neuherberg, Germany
| | - Christoph Hinzen
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München (GmbH)—German Research Center for Environmental Health, Neuherberg, Germany
- Chair for Biological Imaging, Technical University Munich, Munich, Germany
| | - Jürgen Glatz
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München (GmbH)—German Research Center for Environmental Health, Neuherberg, Germany
- Chair for Biological Imaging, Technical University Munich, Munich, Germany
| | - Matthias Vogl
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München (GmbH)—German Research Center for Environmental Health, Neuherberg, Germany
| | - Reiner Leidl
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München (GmbH)—German Research Center for Environmental Health, Neuherberg, Germany
- Munich Center of Health Sciences, Ludwig-Maximilians-Universität München, Munich, Germany
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41
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A novel modality for intraoperative margin assessment and its impact on re-excision rates in breast conserving surgery. Am J Surg 2018; 215:400-403. [DOI: 10.1016/j.amjsurg.2017.11.023] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2017] [Revised: 11/04/2017] [Accepted: 11/16/2017] [Indexed: 11/19/2022]
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42
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Voiculescu Ș, Scăunașu RV, Moroșanu M, Greșanu A, Popescu B, Burcos T. The combined use of senometry and ultrasonography for breast cancer surgical planning. JOURNAL OF CLINICAL AND INVESTIGATIVE SURGERY 2017. [DOI: 10.25083/2559.5555.22.8893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Objective. Ultrasound exerts an important role in breast cancer diagnosis protocol, but the use of eco-senometry can also improve therapeutic options, surgical planning and technique. Methods. We describe various measurement formulas and techniques that are applied in order to acquire important information regarding the breast and its lesions. Results. Senometry and ultrasonography have been proven to be very effective, reaching up to reliability levels as high as 0.997 and accuracy levels as high as 99.6%. Conclusions. Senometry and ultrasonography have clearly demonstrated their value in breast cancer diagnosis and treatment. These methods are reliable, inexpensive and can be easily performed by the surgeon. More advances in the domain are expected in the future.
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43
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Arko D, Čas Sikošek N, Kozar N, Sobočan M, Takač I. The value of ultrasound-guided surgery for breast cancer. Eur J Obstet Gynecol Reprod Biol 2017; 216:198-203. [DOI: 10.1016/j.ejogrb.2017.07.034] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Revised: 07/26/2017] [Accepted: 07/27/2017] [Indexed: 12/16/2022]
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44
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Versteegden DPA, Keizer LGG, Schlooz-Vries MS, Duijm LEM, Wauters CAP, Strobbe LJA. Performance characteristics of specimen radiography for margin assessment for ductal carcinoma in situ: a systematic review. Breast Cancer Res Treat 2017; 166:669-679. [DOI: 10.1007/s10549-017-4475-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Accepted: 08/19/2017] [Indexed: 01/30/2023]
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45
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St John ER, Balog J, McKenzie JS, Rossi M, Covington A, Muirhead L, Bodai Z, Rosini F, Speller AVM, Shousha S, Ramakrishnan R, Darzi A, Takats Z, Leff DR. Rapid evaporative ionisation mass spectrometry of electrosurgical vapours for the identification of breast pathology: towards an intelligent knife for breast cancer surgery. Breast Cancer Res 2017; 19:59. [PMID: 28535818 PMCID: PMC5442854 DOI: 10.1186/s13058-017-0845-2] [Citation(s) in RCA: 140] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2016] [Accepted: 04/25/2017] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Re-operation for positive resection margins following breast-conserving surgery occurs frequently (average = 20-25%), is cost-inefficient, and leads to physical and psychological morbidity. Current margin assessment techniques are slow and labour intensive. Rapid evaporative ionisation mass spectrometry (REIMS) rapidly identifies dissected tissues by determination of tissue structural lipid profiles through on-line chemical analysis of electrosurgical aerosol toward real-time margin assessment. METHODS Electrosurgical aerosol produced from ex-vivo and in-vivo breast samples was aspirated into a mass spectrometer (MS) using a monopolar hand-piece. Tissue identification results obtained by multivariate statistical analysis of MS data were validated by histopathology. Ex-vivo classification models were constructed from a mass spectral database of normal and tumour breast samples. Univariate and tandem MS analysis of significant peaks was conducted to identify biochemical differences between normal and cancerous tissues. An ex-vivo classification model was used in combination with bespoke recognition software, as an intelligent knife (iKnife), to predict the diagnosis for an ex-vivo validation set. Intraoperative REIMS data were acquired during breast surgery and time-synchronized to operative videos. RESULTS A classification model using histologically validated spectral data acquired from 932 sampling points in normal tissue and 226 in tumour tissue provided 93.4% sensitivity and 94.9% specificity. Tandem MS identified 63 phospholipids and 6 triglyceride species responsible for 24 spectral differences between tissue types. iKnife recognition accuracy with 260 newly acquired fresh and frozen breast tissue specimens (normal n = 161, tumour n = 99) provided sensitivity of 90.9% and specificity of 98.8%. The ex-vivo and intra-operative method produced visually comparable high intensity spectra. iKnife interpretation of intra-operative electrosurgical vapours, including data acquisition and analysis was possible within a mean of 1.80 seconds (SD ±0.40). CONCLUSIONS The REIMS method has been optimised for real-time iKnife analysis of heterogeneous breast tissues based on subtle changes in lipid metabolism, and the results suggest spectral analysis is both accurate and rapid. Proof-of-concept data demonstrate the iKnife method is capable of online intraoperative data collection and analysis. Further validation studies are required to determine the accuracy of intra-operative REIMS for oncological margin assessment.
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Affiliation(s)
- Edward R. St John
- Department of BioSurgery and Surgical Technology, Imperial College London, London, UK
| | - Julia Balog
- Division of Computational and Systems Medicine, Imperial College, London, UK
- Waters Research Centre, Budapest, Hungary
| | - James S. McKenzie
- Division of Computational and Systems Medicine, Imperial College, London, UK
| | - Merja Rossi
- Division of Computational and Systems Medicine, Imperial College, London, UK
| | - April Covington
- Department of BioSurgery and Surgical Technology, Imperial College London, London, UK
| | - Laura Muirhead
- Department of BioSurgery and Surgical Technology, Imperial College London, London, UK
| | - Zsolt Bodai
- Division of Computational and Systems Medicine, Imperial College, London, UK
| | - Francesca Rosini
- Division of Computational and Systems Medicine, Imperial College, London, UK
- Department of Pathology, Imperial College NHS Trust, London, UK
| | - Abigail V. M. Speller
- Division of Computational and Systems Medicine, Imperial College, London, UK
- Department of Pathology, Imperial College NHS Trust, London, UK
| | - Sami Shousha
- Department of Pathology, Imperial College NHS Trust, London, UK
| | | | - Ara Darzi
- Department of BioSurgery and Surgical Technology, Imperial College London, London, UK
| | - Zoltan Takats
- Division of Computational and Systems Medicine, Imperial College, London, UK
- Sir Alexander Fleming Building, South Kensington Campus, Imperial College, London, SW7 2AZ UK
| | - Daniel R. Leff
- Department of BioSurgery and Surgical Technology, Imperial College London, London, UK
- Department of BioSurgery and Surgical Technology, Clinical Senior Lecturer and Consultant Breast Surgeon, St Mary’s Hospital, 10th Floor, QEQM Wing, London, W2 1NY UK
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Chin L, Latham B, Saunders CM, Sampson DD, Kennedy BF. Simplifying the assessment of human breast cancer by mapping a micro-scale heterogeneity index in optical coherence elastography. JOURNAL OF BIOPHOTONICS 2017; 10:690-700. [PMID: 27618159 DOI: 10.1002/jbio.201600092] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Revised: 07/08/2016] [Accepted: 08/13/2016] [Indexed: 05/02/2023]
Abstract
Surgical treatment of breast cancer aims to identify and remove all malignant tissue. Intraoperative assessment of tumor margins is, however, not exact; thus, re-excision is frequently needed, or excess normal tissue is removed. Imaging methods applicable intraoperatively could help to reduce re-excision rates whilst minimizing removal of excess healthy tissue. Optical coherence elastography (OCE) has been proposed for use in breast-conserving surgery; however, intraoperative interpretation of complex OCE images may prove challenging. Observations of breast cancer on multiple length scales, by OCE, ultrasound elastography, and atomic force microscopy, have shown an increase in the mechanical heterogeneity of malignant breast tumors compared to normal breast tissue. In this study, a micro-scale mechanical heterogeneity index is introduced and used to form heterogeneity maps from OCE scans of 10 ex vivo human breast tissue samples. Through comparison of OCE, optical coherence tomography images, and corresponding histology, malignant tissue is shown to possess a higher heterogeneity index than benign tissue. The heterogeneity map simplifies the contrast between tumor and normal stroma in breast tissue, facilitating the rapid identification of possible areas of malignancy, which is an important step towards intraoperative margin assessment using OCE.
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Affiliation(s)
- Lixin Chin
- Optical+Biomedical Engineering Laboratory, School of Electrical, Electronic & Computer Engineering, The University of Western Australia, 35 Stirling Highway, Perth, WA 6009, Australia
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, 6 Verdun St, Nedlands, Perth, WA 6009, Australia
| | - Bruce Latham
- PathWest, Fiona Stanley Hospital, Robin Warren Drive, Murdoch, WA 6150, Australia
| | - Christobel M Saunders
- School of Surgery, The University of Western Australia, 35 Stirling Highway, Perth, WA 6009, Australia
- Breast Clinic, Royal Perth Hospital, 197 Wellington Street, Perth, WA 6000, Australia
| | - David D Sampson
- Optical+Biomedical Engineering Laboratory, School of Electrical, Electronic & Computer Engineering, The University of Western Australia, 35 Stirling Highway, Perth, WA 6009, Australia
- Centre for Microscopy, Characterisation & Analysis, The University of Western Australia, 35 Stirling Highway, Perth, WA 6009, Australia
| | - Brendan F Kennedy
- Optical+Biomedical Engineering Laboratory, School of Electrical, Electronic & Computer Engineering, The University of Western Australia, 35 Stirling Highway, Perth, WA 6009, Australia
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, 6 Verdun St, Nedlands, Perth, WA 6009, Australia
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47
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Diagnostic Accuracy of Intraoperative Techniques for Margin Assessment in Breast Cancer Surgery. Ann Surg 2017; 265:300-310. [DOI: 10.1097/sla.0000000000001897] [Citation(s) in RCA: 141] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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48
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Grootendorst MR, Cariati M, Kothari A, Tuch DS, Purushotham A. Cerenkov luminescence imaging (CLI) for image-guided cancer surgery. Clin Transl Imaging 2016; 4:353-366. [PMID: 27738626 PMCID: PMC5037157 DOI: 10.1007/s40336-016-0183-x] [Citation(s) in RCA: 66] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2016] [Accepted: 04/29/2016] [Indexed: 12/30/2022]
Abstract
Cerenkov luminescence imaging (CLI) is a novel molecular optical imaging technique based on the detection of optical Cerenkov photons emitted by positron emission tomography (PET) imaging agents. The ability to use clinically approved tumour-targeted tracers in combination with small-sized imaging equipment makes CLI a particularly interesting technique for image-guided cancer surgery. The past few years have witnessed a rapid increase in proof-of-concept preclinical studies in this field, and several clinical trials are currently underway. This article provides an overview of the basic principles of Cerenkov radiation and outlines the challenges of CLI-guided surgery for clinical use. The preclinical and clinical trial literature is examined including applications focussed on image-guided lymph node detection and Cerenkov luminescence endoscopy, and the ongoing clinical studies and technological developments are highlighted. By intraoperatively guiding the oncosurgeon towards more accurate and complete resections, CLI has the potential to transform current surgical practice, and improve oncological and cosmetic outcomes for patients.
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Affiliation(s)
- M. R. Grootendorst
- Department of Research Oncology, 3rd Floor Bermondsey Wing, King’s College London, London, SE1 9RT UK
- Department of Breast Surgery, 3rd Floor Tower Wing, Guy’s Hospital, London, SE1 9RT UK
| | - M. Cariati
- Department of Research Oncology, 3rd Floor Bermondsey Wing, King’s College London, London, SE1 9RT UK
- Department of Breast Surgery, 3rd Floor Tower Wing, Guy’s Hospital, London, SE1 9RT UK
| | - A. Kothari
- Department of Breast Surgery, 3rd Floor Tower Wing, Guy’s Hospital, London, SE1 9RT UK
| | - D. S. Tuch
- Lightpoint Medical Ltd, The Island, Moor Road, HP5 1NZ Chesham, UK
| | - A. Purushotham
- Department of Research Oncology, 3rd Floor Bermondsey Wing, King’s College London, London, SE1 9RT UK
- Department of Breast Surgery, 3rd Floor Tower Wing, Guy’s Hospital, London, SE1 9RT UK
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Kennedy KM, Chin L, McLaughlin RA, Latham B, Saunders CM, Sampson DD, Kennedy BF. Quantitative micro-elastography: imaging of tissue elasticity using compression optical coherence elastography. Sci Rep 2015; 5:15538. [PMID: 26503225 PMCID: PMC4622092 DOI: 10.1038/srep15538] [Citation(s) in RCA: 145] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2015] [Accepted: 09/28/2015] [Indexed: 01/22/2023] Open
Abstract
Probing the mechanical properties of tissue on the microscale could aid in the identification of diseased tissues that are inadequately detected using palpation or current clinical imaging modalities, with potential to guide medical procedures such as the excision of breast tumours. Compression optical coherence elastography (OCE) maps tissue strain with microscale spatial resolution and can delineate microstructural features within breast tissues. However, without a measure of the locally applied stress, strain provides only a qualitative indication of mechanical properties. To overcome this limitation, we present quantitative micro-elastography, which combines compression OCE with a compliant stress sensor to image tissue elasticity. The sensor consists of a layer of translucent silicone with well-characterized stress-strain behaviour. The measured strain in the sensor is used to estimate the two-dimensional stress distribution applied to the sample surface. Elasticity is determined by dividing the stress by the strain in the sample. We show that quantification of elasticity can improve the ability of compression OCE to distinguish between tissues, thereby extending the potential for inter-sample comparison and longitudinal studies of tissue elasticity. We validate the technique using tissue-mimicking phantoms and demonstrate the ability to map elasticity of freshly excised malignant and benign human breast tissues.
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Affiliation(s)
- Kelsey M Kennedy
- Optical+Biomedical Engineering Laboratory, School of Electrical, Electronic &Computer Engineering, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia
| | - Lixin Chin
- Optical+Biomedical Engineering Laboratory, School of Electrical, Electronic &Computer Engineering, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia
| | - Robert A McLaughlin
- Optical+Biomedical Engineering Laboratory, School of Electrical, Electronic &Computer Engineering, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia
| | - Bruce Latham
- PathWest, Fiona Stanley Hospital, Robin Warren Drive, Murdoch, WA 6150, Australia
| | - Christobel M Saunders
- School of Surgery, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia.,Breast Clinic, Royal Perth Hospital, 197 Wellington Street, Perth, WA 6000, Australia
| | - David D Sampson
- Optical+Biomedical Engineering Laboratory, School of Electrical, Electronic &Computer Engineering, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia.,Centre for Microscopy, Characterisation &Analysis, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia
| | - Brendan F Kennedy
- Optical+Biomedical Engineering Laboratory, School of Electrical, Electronic &Computer Engineering, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia
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50
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Zysk AM, Chen K, Gabrielson E, Tafra L, May Gonzalez EA, Canner JK, Schneider EB, Cittadine AJ, Carney PS, Boppart SA, Tsuchiya K, Sawyer K, Jacobs LK. Intraoperative Assessment of Final Margins with a Handheld Optical Imaging Probe During Breast-Conserving Surgery May Reduce the Reoperation Rate: Results of a Multicenter Study. Ann Surg Oncol 2015; 22. [PMID: 26202553 PMCID: PMC4839389 DOI: 10.1245/s10434-015-4665-2] [Citation(s) in RCA: 84] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
BACKGROUND A multicenter, prospective, blinded study was performed to test the feasibility of using a handheld optical imaging probe for the intraoperative assessment of final surgical margins during breast-conserving surgery (BCS) and to determine the potential impact on patient outcomes. METHODS Forty-six patients with early-stage breast cancer (one with bilateral disease) undergoing BCS at two study sites, the Johns Hopkins Hospital and Anne Arundel Medical Center, were enrolled in this study. During BCS, cavity-shaved margins were obtained and the final margins were examined ex vivo in the operating room with a probe incorporating optical coherence tomography (OCT) hardware and interferometric synthetic aperture microscopy (ISAM) image processing. Images were interpreted after BCS by three physicians blinded to final pathology-reported margin status. Individual and combined interpretations were assessed. Results were compared to conventional postoperative histopathology. RESULTS A total of 2,191 images were collected and interpreted from 229 shave margin specimens. Of the eight patients (17 %) with positive margins (0 mm), which included invasive and in situ diseases, the device identified all positive margins in five (63%) of them; reoperation could potentially have been avoided in these patients. Among patients with pathologically negative margins (>0 mm), an estimated mean additional tissue volume of 10.7 ml (approximately 1% of overall breast volume) would have been unnecessarily removed due to false positives. CONCLUSIONS Intraoperative optical imaging of specimen margins with a handheld probe potentially eliminates the majority of reoperations.
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Affiliation(s)
| | - Kai Chen
- The Johns Hopkins Hospital, Baltimore, MD
- Sun Yat-sen Memorial Hospital, Guangzhou, Guangdong, People’s Republic of China
| | | | | | | | | | | | | | | | - Stephen A. Boppart
- Diagnostic Photonics, Inc., Chicago, IL
- University of Illinois at Urbana-Champaign, Urbana, IL
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