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Fan S, Zhang H, Meng Z, Li A, Luo Y, Liu Y. Comparing the diagnostic efficacy of optical coherence tomography and frozen section for margin assessment in breast-conserving surgery: a meta-analysis. J Clin Pathol 2024; 77:517-527. [PMID: 38862215 DOI: 10.1136/jcp-2024-209597] [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: 04/20/2024] [Accepted: 05/31/2024] [Indexed: 06/13/2024]
Abstract
AIMS This meta-analysis assessed the relative diagnostic accuracy of optical coherence tomography (OCT) versus frozen section (FS) in evaluating surgical margins during breast-conserving procedures. METHODS PubMed and Embase were searched for relevant studies published up to October 2023. The inclusion criteria encompassed studies evaluating the diagnostic accuracy of OCT or FS in patients undergoing breast-conserving surgery. Sensitivity and specificity were analysed using the DerSimonian and Laird method and subsequently transformed through the Freeman-Tukey double inverse sine method. RESULTS The meta-analysis encompassed 36 articles, comprising 16 studies on OCT and 20 on FS, involving 10 289 specimens from 8058 patients. The overall sensitivity of OCT was 0.93 (95% CI: 0.90 to 0.96), surpassing that of FS, which was 0.82 (95% CI: 0.71 to 0.92), indicating a significantly higher sensitivity for OCT (p=0.04). Conversely, the overall specificity of OCT was 0.89 (95% CI: 0.83 to 0.94), while FS exhibited a higher specificity at 0.97 (95% CI: 0.95 to 0.99), suggesting a superior specificity for FS (p<0.01). CONCLUSIONS Our meta-analysis reveals that OCT offers superior sensitivity but inferior specificity compared with FS in assessing surgical margins in breast-conserving surgery patients. Further larger well-designed prospective studies are needed, especially those employing a head-to-head comparison design. PROSPERO REGISTRATION NUMBER CRD42023483751.
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Affiliation(s)
- Shishun Fan
- Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Huirui Zhang
- Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Zhenyu Meng
- Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Ang Li
- Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yuqing Luo
- Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yueping Liu
- Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
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Chen K, Swanson S, Bizheva K. Line-field dynamic optical coherence tomography platform for volumetric assessment of biological tissues. BIOMEDICAL OPTICS EXPRESS 2024; 15:4162-4175. [PMID: 39022542 PMCID: PMC11249681 DOI: 10.1364/boe.527797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 05/31/2024] [Accepted: 05/31/2024] [Indexed: 07/20/2024]
Abstract
Dynamic optical coherence tomography (dOCT) utilizes time-dependent signal intensity fluctuations to enhance contrast in OCT images and indirectly probe physiological processes in cells. Majority of the dOCT studies published so far are based on acquisition of 2D images (B-scans or C-scans) by utilizing point-scanning Fourier domain (spectral or swept-source) OCT or full-field OCT respectively, primarily due to limitations in the image acquisition rate. Here we introduce a novel, high-speed spectral domain line-field dOCT (SD-LF-dOCT) system and image acquisition protocols designed for fast, volumetric dOCT imaging of biological tissues. The imaging probe is based on an exchangeable afocal lens pair that enables selection of combinations of transverse resolution (from 1.1 µm to 6.4 µm) and FOV (from 250 × 250 µm2 to 1.4 × 1.4 mm2), suitable for different biomedical applications. The system offers axial resolution of ∼ 1.9 µm in biological tissue, assuming an average refractive index of 1.38. Maximum sensitivity of 90.5 dB is achieved for 3.5 mW optical imaging power at the tissue surface and maximum camera acquisition rate of 2,000 fps. Volumetric dOCT images acquired with the SD-LF-dOCT system from plant tissue (cucumber), animal tissue (mouse liver) and human prostate carcinoma spheroids allow for volumetric visualization of the tissues' cellular and sub-cellular structures and assessment of cellular motility.
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Affiliation(s)
- Keyu Chen
- Department of Physics and Astronomy, University of Waterloo, Waterloo N2 L 3G1, ON, Canada
| | - Stephanie Swanson
- Department of Physics and Astronomy, University of Waterloo, Waterloo N2 L 3G1, ON, Canada
| | - Kostadinka Bizheva
- Department of Physics and Astronomy, University of Waterloo, Waterloo N2 L 3G1, ON, Canada
- School of Optometry and Vision Sciences, University of Waterloo, Waterloo, ON, Canada
- System Design Engineering Department, University of Waterloo, Waterloo, ON, Canada
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3
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Zhang S, Yang B, Yang H, Zhao J, Zhang Y, Gao Y, Monteiro O, Zhang K, Liu B, Wang S. Potential rapid intraoperative cancer diagnosis using dynamic full-field optical coherence tomography and deep learning: A prospective cohort study in breast cancer patients. Sci Bull (Beijing) 2024; 69:1748-1756. [PMID: 38702279 DOI: 10.1016/j.scib.2024.03.061] [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: 10/27/2023] [Revised: 03/18/2024] [Accepted: 03/19/2024] [Indexed: 05/06/2024]
Abstract
An intraoperative diagnosis is critical for precise cancer surgery. However, traditional intraoperative assessments based on hematoxylin and eosin (H&E) histology, such as frozen section, are time-, resource-, and labor-intensive, and involve specimen-consuming concerns. Here, we report a near-real-time automated cancer diagnosis workflow for breast cancer that combines dynamic full-field optical coherence tomography (D-FFOCT), a label-free optical imaging method, and deep learning for bedside tumor diagnosis during surgery. To classify the benign and malignant breast tissues, we conducted a prospective cohort trial. In the modeling group (n = 182), D-FFOCT images were captured from April 26 to June 20, 2018, encompassing 48 benign lesions, 114 invasive ductal carcinoma (IDC), 10 invasive lobular carcinoma, 4 ductal carcinoma in situ (DCIS), and 6 rare tumors. Deep learning model was built up and fine-tuned in 10,357 D-FFOCT patches. Subsequently, from June 22 to August 17, 2018, independent tests (n = 42) were conducted on 10 benign lesions, 29 IDC, 1 DCIS, and 2 rare tumors. The model yielded excellent performance, with an accuracy of 97.62%, sensitivity of 96.88% and specificity of 100%; only one IDC was misclassified. Meanwhile, the acquisition of the D-FFOCT images was non-destructive and did not require any tissue preparation or staining procedures. In the simulated intraoperative margin evaluation procedure, the time required for our novel workflow (approximately 3 min) was significantly shorter than that required for traditional procedures (approximately 30 min). These findings indicate that the combination of D-FFOCT and deep learning algorithms can streamline intraoperative cancer diagnosis independently of traditional pathology laboratory procedures.
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MESH Headings
- Humans
- Breast Neoplasms/diagnostic imaging
- Breast Neoplasms/surgery
- Breast Neoplasms/pathology
- Tomography, Optical Coherence/methods
- Deep Learning
- Female
- Prospective Studies
- Middle Aged
- Carcinoma, Ductal, Breast/diagnostic imaging
- Carcinoma, Ductal, Breast/surgery
- Carcinoma, Ductal, Breast/pathology
- Aged
- Adult
- Carcinoma, Intraductal, Noninfiltrating/diagnostic imaging
- Carcinoma, Intraductal, Noninfiltrating/surgery
- Carcinoma, Intraductal, Noninfiltrating/pathology
- Intraoperative Period
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Affiliation(s)
- Shuwei Zhang
- Breast Center, Peking University People's Hospital, Beijing 100044, China
| | - Bin Yang
- China ESG Institute, Capital University of Economics and Business, Beijing 100070, China; Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
| | - Houpu Yang
- Breast Center, Peking University People's Hospital, Beijing 100044, China
| | - Jin Zhao
- Breast Center, Peking University People's Hospital, Beijing 100044, China
| | - Yuanyuan Zhang
- Department of Pathology, Peking University People's Hospital, Beijing 100044, China
| | - Yuanxu Gao
- Center for Biomedicine and Innovations, Faculty of Medicine, Macau University of Science and Technology, Macao 999078, China
| | - Olivia Monteiro
- Center for Biomedicine and Innovations, Faculty of Medicine, Macau University of Science and Technology, Macao 999078, China
| | - Kang Zhang
- Center for Biomedicine and Innovations, Faculty of Medicine, Macau University of Science and Technology, Macao 999078, China; College of Future Technology, Peking University, Beijing 100091, China.
| | - Bo Liu
- School of Mathematical and Computational Sciences, Massey University, Auckland 0745, New Zealand.
| | - Shu Wang
- Breast Center, Peking University People's Hospital, Beijing 100044, China.
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4
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Pavone M, Seeliger B, Teodorico E, Goglia M, Taliento C, Bizzarri N, Lecointre L, Akladios C, Forgione A, Scambia G, Marescaux J, Testa AC, Querleu D. Ultrasound-guided robotic surgical procedures: a systematic review. Surg Endosc 2024; 38:2359-2370. [PMID: 38512350 PMCID: PMC11078854 DOI: 10.1007/s00464-024-10772-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 02/24/2024] [Indexed: 03/22/2024]
Abstract
INTRODUCTION Ultrasound has been nicknamed "the surgeon's stethoscope". The advantages of laparoscopic ultrasound beyond a substitute for the sense of touch are considerable, especially for robotic surgery. Being able to see through parenchyma and into vascular structures enables to avoid unnecessary dissection by providing a thorough assessment at every stage without the need for contrast media or ionising radiation. The limitations of restricted angulation and access within the abdominal cavity during laparoscopy can be overcome by robotic handling of miniaturised ultrasound probes and the use of various and specific frequencies will meet tissue- and organ-specific characteristics. The aim of this systematic review was to assess the reported applications of intraoperative ultrasound-guided robotic surgery and to outline future perspectives. METHODS The study adhered to the PRISMA guidelines. PubMed, Google Scholar, ScienceDirect and ClinicalTrials.gov were searched up to October 2023. Manuscripts reporting data on ultrasound-guided robotic procedures were included in the qualitative analysis. RESULTS 20 studies met the inclusion criteria. The majority (53%) were related to the field of general surgery during liver, pancreas, spleen, gallbladder/bile duct, vascular and rectal surgery. This was followed by other fields of oncological surgery (42%) including urology, lung surgery, and retroperitoneal lymphadenectomy for metastases. Among the studies, ten (53%) focused on locating tumoral lesions and defining resection margins, four (15%) were designed to test the feasibility of robotic ultrasound-guided surgery, while two (10.5%) aimed to compare robotic and laparoscopic ultrasound probes. Additionally two studies (10.5%) evaluated the robotic drop-in probe one (5%) assessed the hepatic tissue consistency and another one (5%) aimed to visualize the blood flow in the splenic artery. CONCLUSION The advantages of robotic instrumentation, including ergonomics, dexterity, and precision of movements, are of relevance for robotic intraoperative ultrasound (RIOUS). The present systematic review demonstrates the virtue of RIOUS to support surgeons and potentially reduce minimally invasive procedure times.
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Affiliation(s)
- Matteo Pavone
- Institute of Image-Guided Surgery, IHU Strasbourg, Strasbourg, France.
- Research Institute Against Digestive Cancer, IRCAD, Strasbourg, France.
- UOC Ginecologia Oncologica, Dipartimento di Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy.
| | - Barbara Seeliger
- Institute of Image-Guided Surgery, IHU Strasbourg, Strasbourg, France
- Research Institute Against Digestive Cancer, IRCAD, Strasbourg, France
- Department of Digestive and Endocrine Surgery, University Hospitals of Strasbourg, Strasbourg, France
- ICube, UMR 7357 CNRS, University of Strasbourg, Strasbourg, France
| | - Elena Teodorico
- UOC Ginecologia Oncologica, Dipartimento di Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| | - Marta Goglia
- Department of Medical and Surgical Sciences and Translational Medicine, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy
| | - Cristina Taliento
- Department of Obstetrics and Gynecology, University Hospital Ferrara, Ferrara, Italy
- Department of Obstetrics and Gynecology, University Hospitals Leuven, 3000, Leuven, Belgium
| | - Nicolò Bizzarri
- UOC Ginecologia Oncologica, Dipartimento di Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| | - Lise Lecointre
- Institute of Image-Guided Surgery, IHU Strasbourg, Strasbourg, France
- ICube, UMR 7357 CNRS, University of Strasbourg, Strasbourg, France
- Department of Gynecologic Surgery, University Hospitals of Strasbourg, Strasbourg, France
| | - Cherif Akladios
- Department of Gynecologic Surgery, University Hospitals of Strasbourg, Strasbourg, France
| | | | - Giovanni Scambia
- UOC Ginecologia Oncologica, Dipartimento di Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| | - Jacques Marescaux
- Research Institute Against Digestive Cancer, IRCAD, Strasbourg, France
| | - Antonia C Testa
- UOC Ginecologia Oncologica, Dipartimento di Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| | - Denis Querleu
- Institute of Image-Guided Surgery, IHU Strasbourg, Strasbourg, France
- UOC Ginecologia Oncologica, Dipartimento di Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
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5
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Ren C, Hao S, Wang F, Matt A, Amaral MM, Yang D, Wang L, Zhou C. Dynamic contrast optical coherence tomography (DyC-OCT) for label-free live cell imaging. Commun Biol 2024; 7:278. [PMID: 38448627 PMCID: PMC10918170 DOI: 10.1038/s42003-024-05973-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 02/26/2024] [Indexed: 03/08/2024] Open
Abstract
Dynamic contrast optical coherence tomography (DyC-OCT), an emerging imaging method, utilizes fluctuation patterns in OCT signals to enhance contrast, thereby enabling non-invasive label-free volumetric live cell imaging. In this mini review, we explain the core concepts behind DyC-OCT image formation and its system configurations, serving as practical guidance for future DyC-OCT users. Subsequently, we explore its applications in delivering high-quality, contrast-enhanced images of cellular morphology, as well as in monitoring changes in cellular activity/viability assay experiments.
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Affiliation(s)
- Chao Ren
- Department of Biomedical Engineering, Washington University in St Louis, St. Louis, MO, USA
- Imaging Science Ph.D. Program, Washington University in St Louis, St. Louis, MO, USA
| | - Senyue Hao
- Department of Electrical & Systems Engineering, Washington University in St Louis, St. Louis, MO, USA
| | - Fei Wang
- Department of Biomedical Engineering, Washington University in St Louis, St. Louis, MO, USA
| | - Abigail Matt
- Department of Biomedical Engineering, Washington University in St Louis, St. Louis, MO, USA
| | - Marcello Magri Amaral
- Department of Biomedical Engineering, Washington University in St Louis, St. Louis, MO, USA
- Biomedical Engineering, Universidade Brasil, Sao Paulo, Brazil
| | - Daniel Yang
- Division of Allergy and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Leyao Wang
- Division of Allergy and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Chao Zhou
- Department of Biomedical Engineering, Washington University in St Louis, St. Louis, MO, USA.
- Imaging Science Ph.D. Program, Washington University in St Louis, St. Louis, MO, USA.
- Department of Electrical & Systems Engineering, Washington University in St Louis, St. Louis, MO, USA.
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6
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Chen JJ, Yu BH, Shen TJ, Wang Y, Ren F, Yang LR, Dong Y, Zheng MJ, Hao S, Yang WT, Wu J. A prospective comparison of a modified miniaturised hand-held epifluorescence microscope and touch imprint cytology for evaluation of axillary sentinel lymph nodes intraoperatively in breast cancer patients. Cytopathology 2024; 35:136-144. [PMID: 37795924 DOI: 10.1111/cyt.13312] [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: 06/27/2023] [Revised: 09/04/2023] [Accepted: 09/08/2023] [Indexed: 10/06/2023]
Abstract
BACKGROUND The management of axillary lymph nodes in early-stage breast cancer patients has changed considerably, with the primary focus shifting from the examination of sentinel lymph nodes (SLNs) to toward the detection of all macro-metastases. However, current methods, such as touch imprint cytology (TIC) and frozen sections, are inadequate for clinical needs. To address this issue, we proposed a novel miniaturised epifluorescence widefield microscope (MEW-M) to assess SLN status intraoperatively for improved diagnostic efficiency. METHODS A prospective, side-by-side comparison of intraoperative SLN evaluation between MEW-M and TIC was performed. RESULTS A total of 73 patients with 319 SLNs consecutive enrolled in this study. MEW-M showed significantly superior image quality compared to TIC (median score 3.1 vs 2.1, p < 0.0001) and had a shorter time to issue results (10.3 vs 19.4 min, p < 0.0001). Likelihood ratio analysis illustrated that the positive likelihood ratio value of MEW-M compared with TIC was infinitely great vs 52.37 (95% CI, 21.96-124.90) in model 1 (classifying results into negative/positive), infinitely great vs 52.37 (95% CI, 21.96-124.90) in model 2 (classifying results into macro-metastasis/others, and TIC results followed the same classification as model 1), respectively. Similarly, the negative likelihood ratio values of MEW-M compared with TIC were 0.055 (95% CI, 0.018-0.160) and 0.074 (95% CI, 0.029-0.190) in model 1; and 0.019 (95% CI, 0.003-0.130) vs 0.020 (95% CI, 0.003-0.140) in model 2, respectively. CONCLUSIONS MEW-M is a promising technique that can be utilised to provide a rapid and accurate intraoperative assessment of SLN in a clinical setting to help improve decision-making in axillary surgery.
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Affiliation(s)
- Jia-Jian Chen
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Bao-Hua Yu
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | | | - Ying Wang
- Department of Thyroid and Breast Surgery, Affiliated Hospital of Yangzhou University, Yangzhou, China
| | - Fei Ren
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Li-Rui Yang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Yuan Dong
- Department of Breast Surgery, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Ming-Jie Zheng
- Department of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
| | - Shuang Hao
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Wen-Tao Yang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Jiong Wu
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai, China
- Collaborative Innovation Center for Cancer Medicine, Shanghai, China
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7
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Pavone M, Spiridon IA, Lecointre L, Seeliger B, Scambia G, Venkatasamy A, Querleu D. Full-field optical coherence tomography imaging for intraoperative microscopic extemporaneous lymph node assessment. Int J Gynecol Cancer 2023; 33:1985-1987. [PMID: 37945058 DOI: 10.1136/ijgc-2023-005050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2023] Open
Affiliation(s)
- Matteo Pavone
- Institut Hospitalo-Universitaire (IHU) Strasbourg, Institute of Image-Guided Surgery, Strasbourg, France
- Dipartimento di Scienze per la salute della Donna e del Bambino e di Sanità Pubblica, UOC Ginecologia Oncologica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Irene A Spiridon
- Institut Hospitalo-Universitaire (IHU) Strasbourg, Institute of Image-Guided Surgery, Strasbourg, France
- Department of Morpho-Functional Sciences I-Pathology, Grigore T Popa University of Medicine and Pharmacy, Iasi, Romania
| | - Lise Lecointre
- Institut Hospitalo-Universitaire (IHU) Strasbourg, Institute of Image-Guided Surgery, Strasbourg, France
- Department of Gynecologic Surgery, Hôpitaux universitaires de Strasbourg, Strasbourg, France
| | - Barbara Seeliger
- Institut Hospitalo-Universitaire (IHU) Strasbourg, Institute of Image-Guided Surgery, Strasbourg, France
- Department of Digestive and Endocrine Surgery, University Hospitals of Strasbourg, Strasbourg, France
| | - Giovanni Scambia
- Dipartimento di Scienze per la salute della Donna e del Bambino e di Sanità Pubblica, UOC Ginecologia Oncologica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Aïna Venkatasamy
- Institut Hospitalo-Universitaire (IHU) Strasbourg, Institute of Image-Guided Surgery, Strasbourg, France
| | - Denis Querleu
- Institut Hospitalo-Universitaire (IHU) Strasbourg, Institute of Image-Guided Surgery, Strasbourg, France
- Dipartimento di Scienze per la salute della Donna e del Bambino e di Sanità Pubblica, UOC Ginecologia Oncologica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
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8
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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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9
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Simon A, Badachi Y, Ropers J, Laurent I, Dong L, Da Maia E, Bourcier A, Canlorbe G, Uzan C. Value of high-resolution full-field optical coherence tomography and dynamic cell imaging for one-stop rapid diagnosis breast clinic. Cancer Med 2023; 12:19500-19511. [PMID: 37772663 PMCID: PMC10587972 DOI: 10.1002/cam4.6560] [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: 06/19/2023] [Revised: 09/05/2023] [Accepted: 09/09/2023] [Indexed: 09/30/2023] Open
Abstract
BACKGROUND Full-field optical coherence tomography combined with dynamic cell imaging (D-FFOCT) is a new, simple-to-use, nondestructive, quick technique that can provide sufficient spatial resolution to mimic histopathological analysis. The objective of this study was to evaluate diagnostic performance of D-FFOCT for one-stop rapid diagnosis breast clinic. METHODS Dynamic full-field optical coherence tomography was applied to fresh, untreated breast and nodes biopsies. Four different readers (senior and junior radiologist, surgeon, and pathologist) analyzed the samples without knowing final histological diagnosis or American College of Radiology classification. The results were compared to conventional processing and staining (hematoxylin-eosin). RESULTS A total of 217 biopsies were performed on 152 patients. There were 144 breast biopsies and 61 lymph nodes with 101 infiltrative cancers (49.27%), 99 benign lesions (48.29%), 3 ductal in situ carcinoma (1.46%), and 2 atypias (0.98%). The diagnostic performance results were as follow: sensitivity: 77% [0.7;0.82], specificity: 64% [0.58;0.71], PPV: 74% [0.68;0.78], and NPV: 75% [0.72;0.78]. A large image atlas was created as well as a diagnosis algorithm from the readers' experience. CONCLUSION With 74% PPV and 75% NPV, D-FFOCT is not yet ready to be used in clinical practice to identify breast cancer. This is mainly explained by the lack of experience and knowledge of this new technic by the four lectors. By training with the diagnosis algorithm and the image atlas, radiologists could have better outcomes allowing quick detection of breast cancer and lymph node involvement. Deep learning could also be used, and further investigation will follow.
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Affiliation(s)
- Alexis Simon
- Department of Radiology, Pitié‐Salpêtrière HospitalAssistance Publique‐Hôpitaux de Paris (AP‐HP)ParisFrance
| | - Yasmina Badachi
- Department of Radiology, Pitié‐Salpêtrière HospitalAssistance Publique‐Hôpitaux de Paris (AP‐HP)ParisFrance
| | - Jacques Ropers
- Clinical Research Unit, Pitié‐Salpêtrière HospitalAssistance Publique‐Hôpitaux de Paris (AP‐HP)ParisFrance
| | - Isaura Laurent
- Clinical Research Unit, Pitié‐Salpêtrière HospitalAssistance Publique‐Hôpitaux de Paris (AP‐HP)ParisFrance
| | - Lida Dong
- Department of Pathology, Pitié‐Salpêtrière HospitalAssistance Publique‐Hôpitaux de Paris (AP‐HP)ParisFrance
| | - Elisabeth Da Maia
- Department of Pathology, Pitié‐Salpêtrière HospitalAssistance Publique‐Hôpitaux de Paris (AP‐HP)ParisFrance
| | - Agnès Bourcier
- Department of Gynaecological and Breast Surgery and OncologyAssistance Publique des Hôpitaux de Paris (AP‐HP)ParisFrance
| | - Geoffroy Canlorbe
- Department of Gynaecological and Breast Surgery and OncologyAssistance Publique des Hôpitaux de Paris (AP‐HP)ParisFrance
- Centre de Recherche Saint‐Antoine (CRSA), INSERM UMR_S_938, Cancer Biology and TherapeuticsSorbonne UniversityParisFrance
- Institut Universitaire de Cancérologie (IUC)Sorbonne UniversityParisFrance
| | - Catherine Uzan
- Department of Gynaecological and Breast Surgery and OncologyAssistance Publique des Hôpitaux de Paris (AP‐HP)ParisFrance
- Centre de Recherche Saint‐Antoine (CRSA), INSERM UMR_S_938, Cancer Biology and TherapeuticsSorbonne UniversityParisFrance
- Institut Universitaire de Cancérologie (IUC)Sorbonne UniversityParisFrance
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10
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Duan Y, Guo D, Zhang X, Lan L, Meng H, Wang Y, Sui C, Qu Z, He G, Wang C, Liu X. Diagnostic accuracy of optical coherence tomography for margin assessment in breast-conserving surgery: A systematic review and meta-analysis. Photodiagnosis Photodyn Ther 2023; 43:103718. [PMID: 37482370 DOI: 10.1016/j.pdpdt.2023.103718] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 07/06/2023] [Accepted: 07/21/2023] [Indexed: 07/25/2023]
Abstract
BACKGROUND Breast cancer is the most common malignant tumor among women, and its incidence is increasing annually. At present, the results of the study on whether optical coherence tomography (OCT) can be used as an intraoperative margin assessment method for breast-conserving surgery (BCS) are inconsistent. We herein conducted this systematic review and meta-analysis to assess the diagnostic value of OCT in BCS. METHODS PubMed, Web of Science, Cochrane Library, and Embase were used to search relevant studies published up to September 15, 2022. We used Review Manager 5.4, Meta-Disc 1.4, and STATA 16.0 for statistical analysis. RESULTS The results displayed 18 studies with 782 patients included according to the inclusion and exclusion criteria. Meta-analysis showed the pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and the area under the curve (AUC) of OCT in the margin assessment of BCS were 0.91 (95% CI 0.88-0.93), 0.88 (95% CI 0.83-0.92), 7.53 (95% CI 5.19-10.93), 0.11(95% CI 0.08-0.14), 70.37 (95% CI 39.78-124.47), and 0.94 (95% CI 0.92-0.96), respectively. CONCLUSIONS OCT is a promising technique in intraoperative margin assessment of breast cancer patients.
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Affiliation(s)
- Yuqing Duan
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Dingjie Guo
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Xin Zhang
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Linwei Lan
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Hengyu Meng
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Yashan Wang
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Chuanying Sui
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Zihan Qu
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Guangliang He
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Chunpeng Wang
- School of Mathematics and Statistics, Northeast Normal University, Changchun, Jilin, China.
| | - Xin Liu
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, Jilin, China.
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11
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Azzollini S, Monfort T, Thouvenin O, Grieve K. Dynamic optical coherence tomography for cell analysis [Invited]. BIOMEDICAL OPTICS EXPRESS 2023; 14:3362-3379. [PMID: 37497511 PMCID: PMC10368035 DOI: 10.1364/boe.488929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 05/29/2023] [Accepted: 06/06/2023] [Indexed: 07/28/2023]
Abstract
Label-free live optical imaging of dynamic cellular and subcellular features has been made possible in recent years thanks to the advances made in optical imaging techniques, including dynamic optical coherence tomography (D-OCT) methods. These techniques analyze the temporal fluctuations of an optical signal associated with the active movements of intracellular organelles to obtain an ensemble metric recapitulating the motility and metabolic state of cells. They hence enable visualization of cells within compact, static environments and evaluate their physiology. These emerging microscopies show promise, in particular for the three-dimensional evaluation of live tissue samples such as freshly excised biopsies and 3D cell cultures. In this review, we compare the various techniques used for dynamic OCT. We give an overview of the range of applications currently being explored and discuss the future outlook and opportunities for the field.
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Affiliation(s)
- Salvatore Azzollini
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012 Paris, France
| | - Tual Monfort
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012 Paris, France
- CHNO des Quinze-Vingts, INSERM-DGOS CIC 1423, 28 rue de Charenton, F-75012 Paris, France
| | | | - Kate Grieve
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012 Paris, France
- CHNO des Quinze-Vingts, INSERM-DGOS CIC 1423, 28 rue de Charenton, F-75012 Paris, France
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12
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Lin SE, Chang WW, Hsiao PK, Hsieh MC, Chen WY, Fang CL, Tsai CC. Feasibility of Breast Cancer Metastasis Assessment of Ex Vivo Sentinel Lymph Nodes through a p-H&E Optical Coherence Microscopic Imaging System. Cancers (Basel) 2022; 14:cancers14246081. [PMID: 36551567 PMCID: PMC9776820 DOI: 10.3390/cancers14246081] [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: 09/30/2022] [Revised: 11/21/2022] [Accepted: 12/08/2022] [Indexed: 12/14/2022] Open
Abstract
Frozen-sectioned hematoxylin-eosin (H&E) image evaluation is the current method for intraoperative breast cancer metastasis assessment through ex vivo sentinel lymph nodes (SLNs). After frozen sectioning, the sliced fatty region of the frozen-sectioned specimen is easily dropped because of different freezing points for fatty tissues and other tissues. Optical-sectioned H&E images provide a nondestructive method for obtaining the insight en face image near the attached surface of the dissected specimen, preventing the freezing problem of fatty tissue. Specimens from 29 patients at Wanfang Hospital were collected after excision and were analyzed at the pathology laboratory, and a fluorescence-in-built optical coherence microscopic imaging system (OCMIS) was then used to visualize the pseudo-H&E (p-H&E) images of the SLNs for intraoperative breast cancer metastasis assessment, and the specificity, sensitivity, and accuracy were 100%, 88.9%, and 98.8% (n = 83), respectively. Compared with gold-standard paraffin-sectioned H&E images, the specificity, sensitivity, and accuracy obtained with the frozen-sectioned H&E images (n = 85) of the specimens were the same as those obtained with the p-H&E images (n = 95). Thus, OCMIS is a useful noninvasive image-assisted tool for breast cancer metastasis assessment based on SLN images.
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Affiliation(s)
- Sey-En Lin
- Department of Anatomic Pathology, New Taipei Municipal Tucheng Hospital (Built and Operated by Chang Gung Medical Foundation), New Taipei City 23652, Taiwan
- Department of Pathology, Taipei Medical University Hospital, Taipei Medical University, Taipei 11031, Taiwan
- Department of Pathology, Wanfang Hospital, Taipei Medical University, Taipei 11696, Taiwan
| | - Wei-Wen Chang
- Division of General Surgery, Department of Surgery, Wanfang Hospital, Taipei Medical University, Taipei 11696, Taiwan
| | - Ping-Kun Hsiao
- Division of General Surgery, Department of Surgery, Wanfang Hospital, Taipei Medical University, Taipei 11696, Taiwan
| | - Mao-Chih Hsieh
- Division of General Surgery, Department of Surgery, Wanfang Hospital, Taipei Medical University, Taipei 11696, Taiwan
| | - Wei-Yu Chen
- Department of Pathology, Wanfang Hospital, Taipei Medical University, Taipei 11696, Taiwan
| | - Chia-Lang Fang
- Department of Pathology, Taipei Medical University Hospital, Taipei Medical University, Taipei 11031, Taiwan
- Department of Pathology, Wanfang Hospital, Taipei Medical University, Taipei 11696, Taiwan
| | - Chien-Chung Tsai
- AcuSolutions Inc., 3F., No. 2, Ln. 263, Chongyang Rd., Nangang Dist., Taipei 11573, Taiwan
- Correspondence: ; Tel.: +886-2-2558-9611
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13
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Yang L, Chen Y, Ling S, Wang J, Wang G, Zhang B, Zhao H, Zhao Q, Mao J. Research progress on the application of optical coherence tomography in the field of oncology. Front Oncol 2022; 12:953934. [PMID: 35957903 PMCID: PMC9358962 DOI: 10.3389/fonc.2022.953934] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 06/29/2022] [Indexed: 11/25/2022] Open
Abstract
Optical coherence tomography (OCT) is a non-invasive imaging technique which has become the “gold standard” for diagnosis in the field of ophthalmology. However, in contrast to the eye, nontransparent tissues exhibit a high degree of optical scattering and absorption, resulting in a limited OCT imaging depth. And the progress made in the past decade in OCT technology have made it possible to image nontransparent tissues with high spatial resolution at large (up to 2mm) imaging depth. On the one hand, OCT can be used in a rapid, noninvasive way to detect diseased tissues, organs, blood vessels or glands. On the other hand, it can also identify the optical characteristics of suspicious parts in the early stage of the disease, which is of great significance for the early diagnosis of tumor diseases. Furthermore, OCT imaging has been explored for imaging tumor cells and their dynamics, and for the monitoring of tumor responses to treatments. This review summarizes the recent advances in the OCT area, which application in oncological diagnosis and treatment in different types: (1) superficial tumors:OCT could detect microscopic information on the skin’s surface at high resolution and has been demonstrated to help diagnose common skin cancers; (2) gastrointestinal tumors: OCT can be integrated into small probes and catheters to image the structure of the stomach wall, enabling the diagnosis and differentiation of gastrointestinal tumors and inflammation; (3) deep tumors: with the rapid development of OCT imaging technology, it has shown great potential in the diagnosis of deep tumors such in brain tumors, breast cancer, bladder cancer, and lung cancer.
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Affiliation(s)
- Linhai Yang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Center for Molecular Imaging and Translational Medicine, Department of Laboratory Medicine, School of Public Health, Shenzhen Research Institute of Xiamen University, Xiamen University, Xiamen, China
| | - Yulun Chen
- School of Medicine, Xiamen University, Xiamen, China
| | - Shuting Ling
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Center for Molecular Imaging and Translational Medicine, Department of Laboratory Medicine, School of Public Health, Shenzhen Research Institute of Xiamen University, Xiamen University, Xiamen, China
| | - Jing Wang
- Department of Imaging, School of Medicine, Xiamen Cardiovascular Hospital of Xiamen University, Xiamen University, Xiamen, China
| | - Guangxing Wang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Center for Molecular Imaging and Translational Medicine, Department of Laboratory Medicine, School of Public Health, Shenzhen Research Institute of Xiamen University, Xiamen University, Xiamen, China
| | - Bei Zhang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Center for Molecular Imaging and Translational Medicine, Department of Laboratory Medicine, School of Public Health, Shenzhen Research Institute of Xiamen University, Xiamen University, Xiamen, China
| | - Hengyu Zhao
- Department of Imaging, School of Medicine, Xiamen Cardiovascular Hospital of Xiamen University, Xiamen University, Xiamen, China
- *Correspondence: Hengyu Zhao, ; Qingliang Zhao, ; Jingsong Mao,
| | - Qingliang Zhao
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Center for Molecular Imaging and Translational Medicine, Department of Laboratory Medicine, School of Public Health, Shenzhen Research Institute of Xiamen University, Xiamen University, Xiamen, China
- *Correspondence: Hengyu Zhao, ; Qingliang Zhao, ; Jingsong Mao,
| | - Jingsong Mao
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Center for Molecular Imaging and Translational Medicine, Department of Laboratory Medicine, School of Public Health, Shenzhen Research Institute of Xiamen University, Xiamen University, Xiamen, China
- Department of Radiology, Xiamen Key Laboratory of Endocrine-Related Cancer Precision Medicine, Xiang’an Hospital of Xiamen University, Xiamen, China
- *Correspondence: Hengyu Zhao, ; Qingliang Zhao, ; Jingsong Mao,
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14
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Recent Advances in Intraoperative Lumpectomy Margin Assessment for Breast Cancer. CURRENT BREAST CANCER REPORTS 2022. [DOI: 10.1007/s12609-022-00451-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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15
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Wang L, Fu R, Xu C, Xu M. Methods and applications of full-field optical coherence tomography: a review. JOURNAL OF BIOMEDICAL OPTICS 2022; 27:JBO-220007VR. [PMID: 35596250 PMCID: PMC9122094 DOI: 10.1117/1.jbo.27.5.050901] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 04/28/2022] [Indexed: 05/24/2023]
Abstract
SIGNIFICANCE Full-field optical coherence tomography (FF-OCT) enables en face views of scattering samples at a given depth with subcellular resolution, similar to biopsy without the need of sample slicing or other complex preparation. This noninvasive, high-resolution, three-dimensional (3D) imaging method has the potential to become a powerful tool in biomedical research, clinical applications, and other microscopic detection. AIM Our review provides an overview of the disruptive innovations and key technologies to further improve FF-OCT performance, promoting FF-OCT technology in biomedical and other application scenarios. APPROACH A comprehensive review of state-of-the-art accomplishments in OCT has been performed. Methods to improve performance of FF-OCT systems are reviewed, including advanced phase-shift approaches for imaging speed improvement, methods of denoising, artifact reduction, and aberration correction for imaging quality optimization, innovations for imaging flux expansion (field-of-view enlargement and imaging-depth-limit extension), new implementations for multimodality systems, and deep learning enhanced FF-OCT for information mining, etc. Finally, we summarize the application status and prospects of FF-OCT in the fields of biomedicine, materials science, security, and identification. RESULTS The most worth-expecting FF-OCT innovations include combining the technique of spatial modulation of optical field and computational optical imaging technology to obtain greater penetration depth, as well as exploiting endogenous contrast for functional imaging, e.g., dynamic FF-OCT, which enables noninvasive visualization of tissue dynamic properties or intracellular motility. Different dynamic imaging algorithms are compared using the same OCT data of the colorectal cancer organoid, which helps to understand the disadvantages and advantages of each. In addition, deep learning enhanced FF-OCT provides more valuable characteristic information, which is of great significance for auxiliary diagnosis and organoid detection. CONCLUSIONS FF-OCT has not been completely exploited and has substantial growth potential. By elaborating the key technologies, performance optimization methods, and application status of FF-OCT, we expect to accelerate the development of FF-OCT in both academic and industry fields. This renewed perspective on FF-OCT may also serve as a road map for future development of invasive 3D super-resolution imaging techniques to solve the problems of microscopic visualization detection.
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Affiliation(s)
- Ling Wang
- Hangzhou DianZi University, School of Automation, Hangzhou, China
- Key Laboratory of Medical Information and 3D Biological of Zhejiang Province, Hangzhou, China
| | - Rongzhen Fu
- Hangzhou DianZi University, School of Automation, Hangzhou, China
| | - Chen Xu
- Hangzhou DianZi University, School of Automation, Hangzhou, China
| | - Mingen Xu
- Hangzhou DianZi University, School of Automation, Hangzhou, China
- Key Laboratory of Medical Information and 3D Biological of Zhejiang Province, Hangzhou, China
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16
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PCMT1 Is a Potential Prognostic Biomarker and Is Correlated with Immune Infiltrates in Breast Cancer. BIOMED RESEARCH INTERNATIONAL 2022; 2022:4434887. [PMID: 35535040 PMCID: PMC9078795 DOI: 10.1155/2022/4434887] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 04/06/2022] [Accepted: 04/15/2022] [Indexed: 11/18/2022]
Abstract
Background Protein-L-isoaspartate (D-aspartate) O-methyltransferase (PCMT1) is involved in the occurrence and development of a variety of malignant tumors. However, the prognostic value of PCMT1 in breast cancer remains unclear. Methods Based on the Cancer Genome Atlas database, we assessed the correlation between the expression of PCMT1 and prognosis, immune invasion, and tumor mutation burden in a variety of cancers. The expression level, mutation, immune correlation, and coexpression of PCMT1 in breast cancer were studied using the following databases: UALCAN database, Human Protein Atlas database, cBioPortal database, TIMER database, and LinkedOmics database. Kaplan–Meier Plotter was used for survival analysis. Receiver operating characteristic (ROC) curves and nomograms were drawn using the R software package. P < 0.05 was considered statistically significant. Results Pancancer analysis showed that PCMT1 is highly expressed in a variety of cancers and is significantly related to the prognosis of a variety of cancers. PCMT1 is significantly related to the tumor mutation burden of a variety of cancers. PCMT1 is significantly high in breast cancer, and it is significantly related to the abundance of immune infiltration. Survival analysis revealed that high PCMT1 expression is significantly associated with shorter overall survival (OS), relapse-free survival (RFS), and postprogression survival (PPS) in breast cancer patients. ROC curves and nomograms verify the effectiveness of PCMT1 as a prognostic biomarker for breast cancer. Conclusions PCMT1 can be used as a potential prognostic biomarker of breast cancer, and it is significantly related to the abundance of breast cancer immune infiltration.
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Is Real-Time Microscopy on the Horizon? A Brief Review of the Potential Future Directions in Clinical Breast Tumor Microscopy Implementation. Virchows Arch 2022; 480:211-227. [PMID: 35218378 DOI: 10.1007/s00428-022-03300-z] [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: 07/14/2021] [Revised: 01/16/2022] [Accepted: 01/21/2022] [Indexed: 10/19/2022]
Abstract
We will briefly review the current paradigm and some recent developments in the area of clinical breast microscopy, highlighting several promising commercially available, and research-based platforms. Confocal microscopy (reflectance, fluorescence, and spectrally encoded), optical coherence tomography (wide field and full field), stereomicroscopy, open-top light sheet microscopy, microscopy with ultraviolet surface excitation, nonlinear microscopy, Raman scattering microscopy, photoacoustic microscopy, and needle microendoscopy will be discussed. Non-microscopic methods for breast pathology assessment are beyond the scope of this review. These microscopic technologies have to varying degrees the potential for transforming breast cancer care, but in order for any of these to be integrated into clinical practice there are several hurdles to overcome. In our review we will focus on what needs to be done in order for the commercially available technologies to become more established, what the technologies in the research domain need to do in order to reach the commercial realm; and finally, what the field of breast pathology might look like if these technologies were to be widely adopted.
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18
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Barkur S, Notingher I, Rakha E. Intra-operative assessment of sentinel lymph nodes for breast cancer surgery: An update. Surg Oncol 2021; 40:101678. [PMID: 34844070 DOI: 10.1016/j.suronc.2021.101678] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 10/26/2021] [Accepted: 11/18/2021] [Indexed: 11/24/2022]
Abstract
Lymph node (LN) involvement is the strongest prognostic factor in operable breast cancer (BC). Therefore, accurate assessment of LN status is essential for management of BC patients. The introduction of sentinel LN approach reduced the need for extensive axillary surgery to achieve accurate staging. However, positive sentinel LN as determined on postoperative histological examination often leads to a second axillary operation to ensure an accurate staging and that positive non-sentinel LNs are removed. Although preoperative assessment of LN has improved significantly, its accuracy remains insufficient to avoid further axillary surgery and is not sufficient to predict the status of the LN. Therefore, intraoperative evaluation of the sentinel LN to determine the need for completing lymph node dissection in case of metastasis can provide an important approach to guide BC management decision making. This article reviews the techniques available and under development for intraoperative detection of sentinel LN metastasis in BC surgery. The key features of each technique are described in detail, emphasising the benefits offered by label-free optical techniques: minimal sample preparation, high spatial resolution, and immediate on-site implementation. Optical techniques have the potential to provide a cost-effective and accurate intraoperative platform for the assessment of SLN within the operating theatre.
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Affiliation(s)
- Surekha Barkur
- School of Physics and Astronomy, University of Nottingham, University Park, NG7 2RD, UK
| | - Ioan Notingher
- School of Physics and Astronomy, University of Nottingham, University Park, NG7 2RD, UK.
| | - Emad Rakha
- Division of Oncology, School of Medicine, University of Nottingham, Nottingham, NG5 1PB, UK.
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Lin SE, Jheng DY, Hsu KY, Liu YR, Huang WH, Lee HC, Tsai CC. Rapid pseudo-H&E imaging using a fluorescence-inbuilt optical coherence microscopic imaging system. BIOMEDICAL OPTICS EXPRESS 2021; 12:5139-5158. [PMID: 34513247 PMCID: PMC8407814 DOI: 10.1364/boe.431586] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 07/12/2021] [Accepted: 07/13/2021] [Indexed: 06/13/2023]
Abstract
A technique using Linnik-based optical coherence microscopy (OCM), with built-in fluorescence microscopy (FM), is demonstrated here to describe cellular-level morphology for fresh porcine and biobank tissue specimens. The proposed method utilizes color-coding to generate digital pseudo-H&E (p-H&E) images. Using the same camera, colocalized FM images are merged with corresponding morphological OCM images using a 24-bit RGB composition process to generate position-matched p-H&E images. From receipt of dissected fresh tissue piece to generation of stitched images, the total processing time is <15 min for a 1-cm2 specimen, which is on average two times faster than frozen-section H&E process for fatty or water-rich fresh tissue specimens. This technique was successfully used to scan human and animal fresh tissue pieces, demonstrating its applicability for both biobank and veterinary purposes. We provide an in-depth comparison between p-H&E and human frozen-section H&E images acquired from the same metastatic sentinel lymph node slice (∼10 µm thick), and show the differences, like elastic fibers of a tiny blood vessel and cytoplasm of tumor cells. This optical sectioning technique provides histopathologists with a convenient assessment method that outputs large-field H&E-like images of fresh tissue pieces without requiring any physical embedment.
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Affiliation(s)
- Sey-En Lin
- AcuSolutions Inc., 3F., No. 2, Ln. 263, Chongyang Rd., Nangang Dist., Taipei, Taiwan
- Department of Anatomic Pathology, New Taipei Municipal Tucheng Hospital (Built and operated by Chang Gung Medical Foundation), New Taipei City, Taiwan
| | - Dong-Yo Jheng
- AcuSolutions Inc., 3F., No. 2, Ln. 263, Chongyang Rd., Nangang Dist., Taipei, Taiwan
| | - Kuang-Yu Hsu
- AcuSolutions Inc., 3F., No. 2, Ln. 263, Chongyang Rd., Nangang Dist., Taipei, Taiwan
| | - Yun-Ru Liu
- Joint Biobank, Office of Human Research, Taipei Medical University, Taipei, Taiwan
| | - Wei-Hsiang Huang
- Graduate Institute of Molecular and Comparative Pathobiology, School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan
| | - Hsiang-Chieh Lee
- Graduate Institute of Photonics and Optoelectronics, National Taiwan University, Taipei, Taiwan
- Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan
| | - Chien-Chung Tsai
- AcuSolutions Inc., 3F., No. 2, Ln. 263, Chongyang Rd., Nangang Dist., Taipei, Taiwan
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20
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Khuri FR, O'Regan RM. Progress in breast cancer research amid the COVID-19 gloom. Cancer 2020; 126 Suppl 16:3809-3810. [PMID: 32710663 DOI: 10.1002/cncr.33046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 05/27/2020] [Indexed: 11/08/2022]
Affiliation(s)
| | - Ruth M O'Regan
- Division of Hematology and Oncology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
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