Novel image features of optical coherence tomography for pathological classification of lung cancer: Results from a prospective clinical trial
BackgroundThis study aimed to explore the characteristics of optical coherence tomography (OCT) imaging for differentiating between benign and malignant lesions and different pathological types of lung cancer in bronchial lesions and to preliminarily evaluate the clinical value of OCT.MethodsPatient...
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| Format: | Article |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.870556/full |
| _version_ | 1811337119343312896 |
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| author | Qiang Zhu Hang Yu Zhixin Liang Wei Zhao Minghui Zhu Yi Xu Mingxue Guo Yanhong Jia Chenxi Zou Zhen Yang Liangan Chen |
| author_facet | Qiang Zhu Hang Yu Zhixin Liang Wei Zhao Minghui Zhu Yi Xu Mingxue Guo Yanhong Jia Chenxi Zou Zhen Yang Liangan Chen |
| author_sort | Qiang Zhu |
| collection | DOAJ |
| description | BackgroundThis study aimed to explore the characteristics of optical coherence tomography (OCT) imaging for differentiating between benign and malignant lesions and different pathological types of lung cancer in bronchial lesions and to preliminarily evaluate the clinical value of OCT.MethodsPatients who underwent bronchoscopy biopsy and OCT between February 2019 and December 2019 at the Chinese PLA General Hospital were enrolled in this study. White-light bronchoscopy (WLB), auto-fluorescence bronchoscopy (AFB), and OCT were performed at the lesion location. The main characteristics of OCT imaging for the differentiation between benign and malignant lesions and the prediction of the pathological classification of lung cancer in bronchial lesions were identified, and their clinical value was evaluated.ResultsA total of 135 patients were included in this study. The accuracy of OCT imaging for differentiating between benign and malignant bronchial lesions was 94.1%, which was significantly higher than that of AFB (67.4%). For the OCT imaging of SCC, adenocarcinoma, and small-cell lung cancer, the accuracies were 95.6, 94.3, and 92%, respectively. The accuracy, sensitivity, and specificity of OCT were higher than those of WLB. In addition, these main OCT image characteristics are independent influencing factors for predicting the corresponding diseases through logistic regression analysis between the main OCT image characteristics in the study and the general clinical features of patients (p<0.05).ConclusionAs a non-biopsy technique, OCT can be used to improve the diagnosis rate of lung cancer and promote the development of non-invasive histological biopsy. |
| first_indexed | 2024-04-13T17:50:19Z |
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| id | doaj.art-139adc093b7f40248389edcbe439a3b6 |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-04-13T17:50:19Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-139adc093b7f40248389edcbe439a3b62022-12-22T02:36:44ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-10-011210.3389/fonc.2022.870556870556Novel image features of optical coherence tomography for pathological classification of lung cancer: Results from a prospective clinical trialQiang Zhu0Hang Yu1Zhixin Liang2Wei Zhao3Minghui Zhu4Yi Xu5Mingxue Guo6Yanhong Jia7Chenxi Zou8Zhen Yang9Liangan Chen10Department of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, ChinaDepartment of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, ChinaDepartment of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, ChinaDepartment of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, ChinaDepartment of Pulmonary and Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, ChinaDepartment of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, ChinaDepartment of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, ChinaDepartment of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, ChinaDepartment of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, ChinaDepartment of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, ChinaDepartment of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, ChinaBackgroundThis study aimed to explore the characteristics of optical coherence tomography (OCT) imaging for differentiating between benign and malignant lesions and different pathological types of lung cancer in bronchial lesions and to preliminarily evaluate the clinical value of OCT.MethodsPatients who underwent bronchoscopy biopsy and OCT between February 2019 and December 2019 at the Chinese PLA General Hospital were enrolled in this study. White-light bronchoscopy (WLB), auto-fluorescence bronchoscopy (AFB), and OCT were performed at the lesion location. The main characteristics of OCT imaging for the differentiation between benign and malignant lesions and the prediction of the pathological classification of lung cancer in bronchial lesions were identified, and their clinical value was evaluated.ResultsA total of 135 patients were included in this study. The accuracy of OCT imaging for differentiating between benign and malignant bronchial lesions was 94.1%, which was significantly higher than that of AFB (67.4%). For the OCT imaging of SCC, adenocarcinoma, and small-cell lung cancer, the accuracies were 95.6, 94.3, and 92%, respectively. The accuracy, sensitivity, and specificity of OCT were higher than those of WLB. In addition, these main OCT image characteristics are independent influencing factors for predicting the corresponding diseases through logistic regression analysis between the main OCT image characteristics in the study and the general clinical features of patients (p<0.05).ConclusionAs a non-biopsy technique, OCT can be used to improve the diagnosis rate of lung cancer and promote the development of non-invasive histological biopsy.https://www.frontiersin.org/articles/10.3389/fonc.2022.870556/fullbronchoscopylung cancerOCTAFBWLB |
| spellingShingle | Qiang Zhu Hang Yu Zhixin Liang Wei Zhao Minghui Zhu Yi Xu Mingxue Guo Yanhong Jia Chenxi Zou Zhen Yang Liangan Chen Novel image features of optical coherence tomography for pathological classification of lung cancer: Results from a prospective clinical trial Frontiers in Oncology bronchoscopy lung cancer OCT AFB WLB |
| title | Novel image features of optical coherence tomography for pathological classification of lung cancer: Results from a prospective clinical trial |
| title_full | Novel image features of optical coherence tomography for pathological classification of lung cancer: Results from a prospective clinical trial |
| title_fullStr | Novel image features of optical coherence tomography for pathological classification of lung cancer: Results from a prospective clinical trial |
| title_full_unstemmed | Novel image features of optical coherence tomography for pathological classification of lung cancer: Results from a prospective clinical trial |
| title_short | Novel image features of optical coherence tomography for pathological classification of lung cancer: Results from a prospective clinical trial |
| title_sort | novel image features of optical coherence tomography for pathological classification of lung cancer results from a prospective clinical trial |
| topic | bronchoscopy lung cancer OCT AFB WLB |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2022.870556/full |
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