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Zong K, Liu B, Li S, Li Y, Guo S. Endobronchial optical coherence tomography helps to estimate the cartilage damage of the central airway in TBTB patients. Front Cell Infect Microbiol 2023; 13:1278281. [PMID: 38099218 PMCID: PMC10720589 DOI: 10.3389/fcimb.2023.1278281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 11/10/2023] [Indexed: 12/17/2023] Open
Abstract
Purpose At present, there are few examination methods used to evaluate tracheobronchial cartilage damage. In our study, we explored whether endobronchial optical coherence tomography (EB-OCT) can be used to estimate central airway cartilage damage in tracheobronchial tuberculosis (TBTB) patients. Methods In our study, we used the OCTICS Imaging system to perform EB-OCT scanning for TBTB patients. The thickness of the central airway wall and cartilage was measured by the OCTICS software system workstation. Results There were 102 TBTB patients included in our study cohort. Their EB-OCT images of the central airway cartilage showed that abnormal cartilage manifests as thinning of the cartilage, cartilage damage, cartilage destruction, and even cartilage deficiency. The cartilage morphology becomes irregular and discontinuous. Some parts of the cartilage become brighter in grayscale. The intima of the cartilage is thickened and discontinuous, and the boundary with submucosa and mucosa is unclear. Conclusion Our study conducted EB-OCT examination of the central airway cartilage of TBTB patients in vivo for the first time. EB-OCT helps to estimate the cartilage damage of the central airway in TBTB patients to some extent.
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Affiliation(s)
- Kaican Zong
- Department of Respiratory Medicine, The First Affiliated Hospital, Chongqing Medical University, Chongqing, China
- Department of Respiratory Medicine, The Central Hospital Affiliated Chongqing University of Technology, Chongqing, China
| | - Bin Liu
- Department of Respiratory Medicine, The First Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Shiying Li
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Yishi Li
- Department of Respiratory Medicine, The First Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Shuliang Guo
- Department of Respiratory Medicine, The First Affiliated Hospital, Chongqing Medical University, Chongqing, China
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Long H, Ji J, Chen L, Feng J, Liao J, Yang Y. EB-OCT: a potential strategy on early diagnosis and treatment for lung cancer. Front Oncol 2023; 13:1156218. [PMID: 37182131 PMCID: PMC10168178 DOI: 10.3389/fonc.2023.1156218] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 04/12/2023] [Indexed: 05/16/2023] Open
Abstract
Lung cancer is the leading cause of cancer-related death in China and the world, mainly attributed to delayed diagnosis, given that currently available early screening strategies exhibit limited value. Endobronchial optical coherence tomography (EB-OCT) has the characteristics of non-invasiveness, accuracy, and repeatability. Importantly, the combination of EB-OCT with existing technologies represents a potential approach for early screening and diagnosis. In this review, we introduce the structure and strengths of EB-OCT. Furthermore, we provide a comprehensive overview of the application of EB-OCT on early screening and diagnosis of lung cancer from in vivo experiments to clinical studies, including differential diagnosis of airway lesions, early screening for lung cancer, lung nodules, lymph node biopsy and localization and palliative treatment of lung cancer. Moreover, the bottlenecks and difficulties in developing and popularizing EB-OCT for diagnosis and treatment during clinical practice are analyzed. The characteristics of OCT images of normal and cancerous lung tissues were in good agreement with the results of pathology, which could be used to judge the nature of lung lesions in real time. In addition, EB-OCT can be used as an assistant to biopsy of pulmonary nodules and improve the success rate of biopsy. EB-OCT also plays an auxiliary role in the treatment of lung cancer. In conclusion, EB-OCT is non-invasive, safe and accurate in real-time. It is of great significance in the diagnosis of lung cancer and suitable for clinical application and is expected to become an important diagnostic method for lung cancer in the future.
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Affiliation(s)
- Hang Long
- Department of Respiratory and Critical Medicine, Sichuan Provincial People’s Hospital, Sichuan Academy of Medical Sciences, Chengdu, Sichuan, China
| | - Jiaqi Ji
- Department of Respiratory and Critical Medicine, Sichuan Provincial People’s Hospital, Sichuan Academy of Medical Sciences, Chengdu, Sichuan, China
| | - Lijuan Chen
- Department of Respiratory and Critical Medicine, Sichuan Provincial People’s Hospital, Sichuan Academy of Medical Sciences, Chengdu, Sichuan, China
| | - Jiayue Feng
- Department of Cardiology, Sichuan Provincial People’s Hospital, Sichuan Academy of Medical Sciences, Chengdu, Sichuan, China
| | - Jie Liao
- Department of Cardiology, Sichuan Provincial People’s Hospital, Sichuan Academy of Medical Sciences, Chengdu, Sichuan, China
| | - Yang Yang
- Department of Respiratory and Critical Medicine, Sichuan Provincial People’s Hospital, Sichuan Academy of Medical Sciences, Chengdu, Sichuan, China
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Bu R, Balakrishnan S, Iftimia N, Price H, Zdanski C, Mitran S, Oldenburg AL. Sensing Inhalation Injury-Associated Changes in Airway Wall Compliance by Anatomic Optical Coherence Elastography. IEEE Trans Biomed Eng 2021; 68:2360-2367. [PMID: 33175676 PMCID: PMC8110609 DOI: 10.1109/tbme.2020.3037288] [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: 11/09/2022]
Abstract
Quantitative methods for assessing the severity of inhalation (burn) injury are needed to aid in treatment decisions. We hypothesize that it is possible to assess the severity of injuries on the basis of differences in the compliance of the airway wall. Here, we demonstrate the use of a custom-built, endoscopic, anatomic optical coherence elastography (aOCE) system to measure airway wall compliance. The method was first validated using airway phantoms, then performed on ex vivo porcine tracheas under varying degrees of inhalation (steam) injury. A negative correlation between aOCE-derived compliance and severity of steam injuries is found, and spatially-resolved compliance maps reveal regional heterogeneity in airway properties.
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Affiliation(s)
- Ruofei Bu
- Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3216 USA
| | - Santosh Balakrishnan
- Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3216 USA
| | - Nicusor Iftimia
- Physical Sciences Inc., New England Business Center, Andover, MA 01810, USA
| | - Hillel Price
- Department of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599- 3255 USA
| | - Carlton Zdanski
- Department of Otolaryngology/Head and Neck Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7070, USA
| | - Sorin Mitran
- Department of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3255, USA
| | - Amy L. Oldenburg
- Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3216 USA
- Department of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599- 3255 USA
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3216 USA
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Bu R, Balakrishnan S, Price H, Zdanski C, Mitran S, Oldenburg AL. Localized compliance measurement of the airway wall using anatomic optical coherence elastography. OPTICS EXPRESS 2019; 27:16751-16766. [PMID: 31252896 PMCID: PMC6825607 DOI: 10.1364/oe.27.016751] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
We describe an elastographic method to circumferentially-resolve airway wall compliance using endoscopic, anatomic optical coherence tomography (aOCT) combined with an intraluminal pressure catheter. The method was first demonstrated on notched silicone phantoms of known elastic modulus under respiratory ventilation, where localized compliance measurements were validated against those predicted by finite element modeling. Then, ex vivo porcine tracheas were scanned, and the pattern of compliance was found to be consistent with histological identification of the locations of (stiff) cartilage and (soft) muscle. This quantitative method may aid in diagnosis and monitoring of collapsible airway wall tissues in obstructive respiratory disorders.
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Affiliation(s)
- Ruofei Bu
- Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3216, USA
| | - Santosh Balakrishnan
- Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3216, USA
| | - Hillel Price
- Department of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3255, USA
| | - Carlton Zdanski
- Department of Otolaryngology/Head and Neck Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3255, USA
| | - Sorin Mitran
- Department of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7070, USA
| | - Amy L. Oldenburg
- Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3216, USA
- Department of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3255, USA
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7248, USA
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