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Xu D, Xie F, Zhang J, Chen H, Chen Z, Guan Z, Hou G, Ji C, Li H, Li M, Li W, Li X, Li Y, Lian H, Liao J, Liu D, Luo Z, Ouyang H, Shen Y, Shi Y, Tang C, Wan N, Wang T, Wang H, Wang H, Wang J, Wu X, Xia Y, Xiao K, Xu W, Xu F, Yang H, Yang J, Ye T, Ye X, Yu P, Zhang N, Zhang P, Zhang Q, Zhao Q, Zheng X, Zou J, Chen E, Sun J. Chinese expert consensus on cone-beam CT-guided diagnosis, localization and treatment for pulmonary nodules. Thorac Cancer 2024; 15:582-597. [PMID: 38337087 PMCID: PMC10912555 DOI: 10.1111/1759-7714.15222] [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: 01/07/2024] [Indexed: 02/12/2024] Open
Abstract
Cone-beam computed tomography (CBCT) system can provide real-time 3D images and fluoroscopy images of the region of interest during the operation. Some systems can even offer augmented fluoroscopy and puncture guidance. The use of CBCT for interventional pulmonary procedures has grown significantly in recent years, and numerous clinical studies have confirmed the technology's efficacy and safety in the diagnosis, localization, and treatment of pulmonary nodules. In order to optimize and standardize the technical specifications of CBCT and guide its application in clinical practice, the consensus statement has been organized and written in a collaborative effort by the Professional Committee on Interventional Pulmonology of China Association for Promotion of Health Science and Technology.
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Affiliation(s)
- Dongyang Xu
- Department of Respiratory Endoscopy, Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Department of Respiratory and Critical Care Medicine, Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Engineering Research Center of Respiratory EndoscopyShanghaiChina
| | - Fangfang Xie
- Department of Respiratory Endoscopy, Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Department of Respiratory and Critical Care Medicine, Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Engineering Research Center of Respiratory EndoscopyShanghaiChina
| | - Jisong Zhang
- Department of Pulmonary and Critical Care Medicine, Regional Medical Center for National Institute of Respiratory DiseaseSir Run Run Shaw Hospital of Zhejiang UniversityHangzhouChina
| | - Hong Chen
- Department of Pulmonary and Critical Care MedicineSecond Affiliated Hospital of Harbin Medical UniversityHarbinChina
| | - Zhongbo Chen
- Department of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Medical SchoolNingbo UniversityNingboChina
| | - Zhenbiao Guan
- Department of Respiration, Changhai HospitalNaval Medical UniversityShanghaiChina
| | - Gang Hou
- Department of Pulmonary and Critical Care Medicine, China‐Japan Friendship HospitalBeijingChina
| | - Cheng Ji
- Department of Respiratory and Critical Care MedicineThe First Affiliated Hospital of Soochow UniversitySuzhouChina
| | - Haitao Li
- Department of Respiratory and Critical Care MedicineThe Second Hospital of Hebei Medical UniversityShijiazhuangHebeiChina
| | - Manxiang Li
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anChina
| | - Wei Li
- Department of Respiratory DiseaseThe First Affiliated Hospital of Bengbu Medical CollegeBengbuChina
| | - Xuan Li
- Department of Respiratory Medicine, Shanghai Tenth People's HospitalTongji University School of MedicineShanghaiChina
| | - Yishi Li
- Dept of Respiratory and Critical Care MedicineThe First Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Hairong Lian
- Department of Respiratory MedicineAffiliated Hospital of Jiangnan UniversityWuxiChina
| | - Jiangrong Liao
- Department of Respiratory MedicineGuizhou Aerospace HospitalZunyiChina
| | - Dan Liu
- Department of Respiratory and Critical Care MedicineWest China Hospital of Sichuan UniversityChengduChina
| | - Zhuang Luo
- Department of Respiratory and Critical Care MedicineFirst Affiliated Hospital of Kunming Medical UniversityKunmingChina
| | - Haifeng Ouyang
- Department of Respiratory DiseasesXi'an International Medical CenterXi'anChina
| | - Yongchun Shen
- Department of Respiratory and Critical Care MedicineWest China Hospital of Sichuan UniversityChengduChina
| | - Yiwei Shi
- Department of Respiratory and Critical Care MedicineShanxi Medical University Affiliated First HospitalTaiyuanChina
| | - Chunli Tang
- China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory DiseaseThe First Affiliated Hospital of Guangzhou Medical UniversityGuangzhouChina
| | - Nansheng Wan
- Department of Respiratory and Critical Care MedicineTianjin Medical University General HospitalTianjinChina
| | - Tao Wang
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Hong Wang
- Department of Respiratory MedicineLanzhou University Second HospitalLanzhouChina
| | - Huaqi Wang
- Department of Respiratory MedicineThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Juan Wang
- Department of Respiratory and Critical Care Medicine, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Xuemei Wu
- Department of Respiratory CentreThe Second Affiliated Hospital of Xiamen Medical CollegeXiamenChina
| | - Yang Xia
- Department of Respiratory and Critical Care MedicineSecond Affiliated Hospital of Zhejiang University School of MedicineHangzhouChina
| | - Kui Xiao
- Department of Respiratory Medicine, The Second Xiangya HospitalCentral South UniversityChangshaChina
| | - Wujian Xu
- Department of Respiratory and Critical Care Medicine, Shanghai East HospitalTongji University School of MedicineShanghaiChina
| | - Fei Xu
- Department of Respiratory and Critical Care MedicineThe First Affiliated Hospital of Nanchang UniversityNanchangChina
| | - Huizhen Yang
- Department of Respiratory and Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou UniversityZhengzhouChina
| | - Junyong Yang
- Department of Respiratory MedicineXinjiang Chest HospitalWulumuqiChina
| | - Taosheng Ye
- Department of TuberculosisThe Third People's Hospital of ShenzhenShenzhenChina
| | - Xianwei Ye
- Department of Pulmonary and Critical Care MedicineGuizhou Provincial People's HospitalGuiyangChina
| | - Pengfei Yu
- Department of Respiratory and Critical Care Medicine, Yantai Yuhuangding HospitalAffiliated with the Medical College of QingdaoYantaiChina
| | - Nan Zhang
- Department of Respiratory Medicine, Emergency General HospitalBeijingChina
| | - Peng Zhang
- Pulmonary Intervention DepartmentAnhui Chest HospitalHefeiChina
| | - Quncheng Zhang
- Department of Respiratory and Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou UniversityZhengzhouChina
| | - Qi Zhao
- Department of Respiratory Medicine, Nanjing Drum Tower HospitalNanjing University Medical SchoolNanjingChina
| | - Xiaoxuan Zheng
- Department of Respiratory Endoscopy, Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Department of Respiratory and Critical Care Medicine, Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Engineering Research Center of Respiratory EndoscopyShanghaiChina
| | - Jun Zou
- Department of Respiratory and Critical Care Medicine, Sichuan Provincial People's HospitalUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Enguo Chen
- Department of Pulmonary and Critical Care Medicine, Regional Medical Center for National Institute of Respiratory DiseaseSir Run Run Shaw Hospital of Zhejiang UniversityHangzhouChina
| | - Jiayuan Sun
- Department of Respiratory Endoscopy, Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Department of Respiratory and Critical Care Medicine, Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai Engineering Research Center of Respiratory EndoscopyShanghaiChina
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Moulton N, Abbasi M, Ahmad D, Burks A, Chenna P, Haas K, Loiselle A, Mekhaiel E, Pilli S, Sadoughi A, Lydon B, Patel T, Chen AC. Inter- and intra-observer variability of radial-endobronchial ultrasound image interpretation for peripheral pulmonary lesions. J Thorac Dis 2024; 16:450-456. [PMID: 38410559 PMCID: PMC10894385 DOI: 10.21037/jtd-23-998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 11/24/2023] [Indexed: 02/28/2024]
Abstract
Background Radial probe endobronchial ultrasound (R-EBUS) is often utilized in guided bronchoscopy for the diagnosis of peripheral pulmonary lesions. R-EBUS probe positioning has been shown to correlate with diagnostic yield, but overall diagnostic yield with this technology has been inconsistent across the published literature. Currently there is no standardization for R-EBUS image interpretation, which may result in variability in grading concentricity of lesions and subsequently procedure performance. This was a survey-based study evaluating variability among practicing pulmonologists in R-EBUS image interpretation. Methods R-EBUS images from peripheral bronchoscopy cases were sent to 10 practicing Interventional Pulmonologists at two different time points (baseline and 3 months). Participants were asked to grade the images as concentric, eccentric, or no image. Cohen's Kappa-coefficient was calculated for inter- and intra-observer variability. Results A total of 100 R-EBUS images were included in the survey. There was 100% participation with complete survey responses from all 10 participants. Overall kappa-statistic for inter-observer variability for Survey 1 and 2 was 0.496 and 0.477 respectively. Overall kappa-statistic for intra-observer variability between the two surveys was 0.803. Conclusions There is significant variability between pulmonologists when characterizing R-EBUS images. However, there is strong intra-rater agreement from each participant between surveys. A standardized approach and grading system for radial EBUS patterns may improve inter-observer variability in order to optimize our clinical use and research efforts in the field.
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Affiliation(s)
| | | | | | - Allen Burks
- University of North Carolina, Chapel Hill, NC, USA
| | - Praveen Chenna
- Washington University School of Medicine, St. Louis, MO, USA
| | - Kevin Haas
- University of Illinois at Chicago, Chicago, IL, USA
| | - Andrea Loiselle
- Washington University School of Medicine, St. Louis, MO, USA
| | | | | | | | - Brandt Lydon
- Washington University School of Medicine, St. Louis, MO, USA
| | - Tej Patel
- Washington University School of Medicine, St. Louis, MO, USA
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Chrissian AA, De Silva S, Quan M, Wiltchik E, Patel P, Furukawa B, Rogstad D, Rockwood N, Ho E, Cheek G. Utility of multimodal sampling and testing during advanced bronchoscopy for diagnosing atypical respiratory infections in a Coccidioides-endemic region. J Thorac Dis 2023; 15:4577-4595. [PMID: 37868856 PMCID: PMC10586940 DOI: 10.21037/jtd-23-83] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 07/21/2023] [Indexed: 10/24/2023]
Abstract
Background The role of advanced diagnostic bronchoscopy (ADB) for assessing atypical respiratory infections is unclear. The purpose of this study was to ascertain: (I) the diagnostic utility of ADB-tissue sampling in patients with focal thoracic lesions due to atypical respiratory infections; (II) how multimodal bronchoscopic sampling and testing enhance diagnosis in a Coccidioides-endemic region. Methods A retrospective observational cohort study analyzing all ADBs performed over a 10-year period in patients with focal thoracic lesions diagnosed with a non-malignant disorder. Only cases which procured lower respiratory tract secretion and tissue samples by ADB, and had both cytohistology and culture results available were included. Results Among 403 subjects with non-malignant disease, 136 (33.7%) were diagnosed with atypical respiratory infections, with ADB contributing a diagnosis in 119 (87.5%) of these. Coccidioidal disease was independently associated with a cytohistologic diagnosis [odds ratio =7.64, 95% confidence interval (CI): 2.51-23.26; P<0.001]. Mycobacteria were more effectively identified by culture (overall yield of 8.4%, vs. 2.7% by cytohistology; P<0.001). Among subjects for which both respiratory secretion and tissue sampling were dual-tested with culture and cytology/cytohistology, adding ADB-guided transbronchial needle aspiration and/or forceps biopsy (TBNA/TBFB) to bronchoalveolar lavage and/or bronchial washings (BAL/BW) more than doubled the yield for dimorphic fungi, from 7.1% to 15.1% (increase of 8.0%, 95% CI: 5.2-11.9%). For lung lesions, adding tissue culture to dual TBNA/TBFB cytohistology-tested lung samples doubled the proportion diagnosed with atypical infection over using TBNA-cytohistology alone (increase of 15.8%, 95% CI: 10.4-23.1%). Adding lymph node to lung sampling increased the proportion diagnosed with coccidioidomycosis by 8.8% (95% CI: 4.8-15%). Among subjects with atypical respiratory infections, major ADB-related complications occurred in 1.5%. Conclusions ADB is useful for diagnosing atypical respiratory infections manifesting as focal thoracic lesions. A multimodal approach to both sampling and testing enhances yield, while maintaining a favorable procedure safety profile. Cytohistology testing and nodal sampling are beneficial for pulmonary coccidioidomycosis, and culture for mycobacterial disease. The approach to ADB-sampling should be adjusted according to clinical context and regional infection patterns.
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Affiliation(s)
- Ara A. Chrissian
- Division of Pulmonary, Critical Care, Hyperbaric, Allergy, and Sleep Medicine, Loma Linda University Health, Loma Linda, CA, USA
| | - Sevwandi De Silva
- Division of Pulmonary, Critical Care, Hyperbaric, Allergy, and Sleep Medicine, Loma Linda University Health, Loma Linda, CA, USA
| | | | - Erin Wiltchik
- Division of Pulmonary, Critical Care, Hyperbaric, Allergy, and Sleep Medicine, Loma Linda University Health, Loma Linda, CA, USA
| | - Pranjal Patel
- Division of Pulmonary, Critical Care, Hyperbaric, Allergy, and Sleep Medicine, Loma Linda University Health, Loma Linda, CA, USA
| | | | - Daniel Rogstad
- Division of Infectious Disease, Loma Linda University Health, Loma Linda, CA, USA
| | - Nicholas Rockwood
- Division of Interdisciplinary Studies, School of Behavioral Health, Loma Linda University Health, Loma Linda, CA, USA
| | - Elliot Ho
- Division of Pulmonary, Critical Care, Hyperbaric, Allergy, and Sleep Medicine, Loma Linda University Health, Loma Linda, CA, USA
| | - Gregory Cheek
- Division of Pulmonary, Critical Care, Hyperbaric, Allergy, and Sleep Medicine, Loma Linda University Health, Loma Linda, CA, USA
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Herath S. Using cryobiopsy with Radial EBUS in high-bleeding-risk, peripheral pulmonary lesions (PPL): description of cases and technique. Respirol Case Rep 2023; 11:e01125. [PMID: 36935897 PMCID: PMC10014523 DOI: 10.1002/rcr2.1125] [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: 12/06/2022] [Accepted: 03/03/2023] [Indexed: 03/17/2023] Open
Abstract
Cryobiopsy is an emerging tool in the diagnosis of peripheral pulmonary lesions (PPL) and becoming an important tool in the toolbox. Anecdotally the data on cryobiopsy use in the lung was extrapolated from the use of transbronchial cryobiopsy (TBCB) in Interstitial Lung disease (ILD). Similar to ILD data, cryobiopsy in PPL also provided larger tissue compared to forceps biopsies. Yet, unlike TBCB in ILD, the safety profile for cryobiopsy in PPL seems much more favourable, yet the number of publications on cryobiopsy in PPL remains sparse. Some PPL, both malignant and non-malignant are considered to be of a high bleeding risk due to vascularity of the tumour and/or inflammation of the blood vessels and surrounding tissue. The use of cryobiopsy and the risk of bleeding in this type of PPL have not been described. This paper describes four patients with PPL, undergoing cryobiopsy with radial EBUS for suspected lung cancer, and later diagnosed to have a PPL, deemed to be of a high bleeding risk. The use of cryobiopsy with radial ultrasonic examination for the vasculature of the PPL, bronchial blocker use, and airway protection as well as an expert team preserved the safety of the procedure.
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Affiliation(s)
- Samantha Herath
- Department of Respiratory MedicineNothern Beaches HospitalSydneyNew South WalesAustralia
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Choi J, Zo S, Kim JH, Oh YJ, Ahn JH, Kim M, Lee K, Lee HY. Nondiagnostic, radial-probe endobronchial ultrasound-guided biopsy for peripheral lung lesions: The added value of radiomics from ultrasound imaging for predicting malignancy. Thorac Cancer 2022; 14:177-185. [PMID: 36408780 PMCID: PMC9834694 DOI: 10.1111/1759-7714.14730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 10/29/2022] [Accepted: 10/31/2022] [Indexed: 11/22/2022] Open
Abstract
OBJECTIVES This study investigated whether radiomic features extracted from radial-probe endobronchial ultrasound (radial EBUS) images can assist in decision-making for subsequent clinical management in cases with indeterminate pathologic results. METHODS A total of 494 patients who underwent radial EBUS biopsy for lung nodules between January 2017 and December 2018 were allocated to our training set. For the validation set, 229 patients with radial EBUS biopsy results from January 2019 to April 2020 were used. A multivariate logistic regression analysis was used for feature selection and prediction modeling. RESULTS In the training set, 157 (67 benign and 90 malignant) of 212 patients pathologically diagnosed as indeterminate were analyzed. In the validation set, 213 patients were diagnosed as indeterminate, and 158 patients (63 benign and 95 malignant) were included in the analysis. The performance of the radiomics-added model, which considered satellite nodules, linear arc, shape, patency of vessels and bronchi, echogenicity, spiculation, C-reactive protein, and minimum histogram, was 0.929 for the training set and 0.877 for the validation set, whereas the performance of the model without radiomics was 0.910 and 0.891, respectively. CONCLUSION Although the next diagnostic step for indeterminate lung biopsy results remains controversial, integrating various factors, including radiomic features from radial EBUS, might facilitate decision-making for subsequent clinical management.
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Affiliation(s)
- Jihwan Choi
- Department of Digital HealthSAIHST, Sungkyunkwan UniversitySeoulSouth Korea,Hongseong‐gun Public Health CenterHongseong‐gunSouth Korea
| | - Sungmin Zo
- Division of Pulmonary and Critical Care Medicine, Department of MedicineSamsung Medical Center, Sungkyunkwan University School of MedicineSeoulSouth Korea
| | - Jong Hoon Kim
- Industrial Biomaterial Research Center, Korea Research Institute of Bioscience and BiotechnologyDaejeonSouth Korea
| | - You Jin Oh
- Department of Health Sciences and TechnologySAIHST, Sungkyunkwan UniversitySeoulSouth Korea
| | - Joong Hyun Ahn
- Biomedical Statistics Center, Data Science Research Institute, Research Institute for Future Medicine, Samsung Medical Center
| | - Myoungkyoung Kim
- Department of Radiology and Center for Imaging ScienceSamsung Medical Center, Sungkyunkwan University School of MedicineSeoulSouth Korea
| | - Kyungjong Lee
- Division of Pulmonary and Critical Care Medicine, Department of MedicineSamsung Medical Center, Sungkyunkwan University School of MedicineSeoulSouth Korea
| | - Ho Yun Lee
- Department of Health Sciences and TechnologySAIHST, Sungkyunkwan UniversitySeoulSouth Korea,Department of Radiology and Center for Imaging ScienceSamsung Medical Center, Sungkyunkwan University School of MedicineSeoulSouth Korea
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Khomkham B, Lipikorn R. Pulmonary Lesion Classification Framework Using the Weighted Ensemble Classification with Random Forest and CNN Models for EBUS Images. Diagnostics (Basel) 2022; 12:diagnostics12071552. [PMID: 35885458 PMCID: PMC9319293 DOI: 10.3390/diagnostics12071552] [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: 04/22/2022] [Revised: 06/18/2022] [Accepted: 06/24/2022] [Indexed: 11/16/2022] Open
Abstract
Lung cancer is a deadly disease with a high mortality rate. Endobronchial ultrasonography (EBUS) is one of the methods for detecting pulmonary lesions. Computer-aided diagnosis of pulmonary lesions from images can help radiologists to classify lesions; however, most of the existing methods need a large volume of data to give good results. Thus, this paper proposes a novel pulmonary lesion classification framework for EBUS images that works well with small datasets. The proposed framework integrates the statistical results from three classification models using the weighted ensemble classification. The three classification models include the radiomics feature and patient data-based model, the single-image-based model, and the multi-patch-based model. The radiomics features are combined with the patient data to be used as input data for the random forest, whereas the EBUS images are used as input data to the other two CNN models. The performance of the proposed framework was evaluated on a set of 200 EBUS images consisting of 124 malignant lesions and 76 benign lesions. The experimental results show that the accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and area under the curve are 95.00%, 100%, 86.67%, 92.59%, 100%, and 93.33%, respectively. This framework can significantly improve the pulmonary lesion classification.
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Corcione N, Ponticiello A, Campione S, Pecoraro A, Moccia L, Failla G. A case of haemoptysis and bilateral areas of lung consolidation sparing the right lower lobe. Breathe (Sheff) 2022; 17:210072. [PMID: 35035564 PMCID: PMC8753663 DOI: 10.1183/20734735.0072-2021] [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: 05/01/2021] [Accepted: 09/07/2021] [Indexed: 11/23/2022] Open
Abstract
Multiple primary lung cancers (MPLC) are often neglected. Obtaining pre-operative specimens through bronchoscopy could play a role. It is important to distinguish aerogenous metastasis from MPLC in the adenocarcinoma spectrum due to the different prognosis.https://bit.ly/3zbdVrw
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Affiliation(s)
- Nadia Corcione
- Interventional Pulmonology Unit, Dept of Pulmonology, Oncology and Hematology, Cardarelli Hospital, Naples, Italy
| | - Antonio Ponticiello
- University of Naples Federico II, School of Medicine and Surgery, Naples, Italy
| | - Severo Campione
- Pathology Unit, Dept of Advanced Technology, Cardarelli Hospital, Naples, Italy
| | - Alfonso Pecoraro
- Interventional Pulmonology Unit, Dept of Pulmonology, Oncology and Hematology, Cardarelli Hospital, Naples, Italy
| | - Livio Moccia
- Interventional Pulmonology Unit, Dept of Pulmonology, Oncology and Hematology, Cardarelli Hospital, Naples, Italy
| | - Giuseppe Failla
- Interventional Pulmonology Unit, Dept of Pulmonology, Oncology and Hematology, Cardarelli Hospital, Naples, Italy
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Zarogoulidis P, Matthaios D, Kosmidis C, Hohenforst-Schmidt W, Tsakiridis K, Mpaka S, Boukovinas I, Drougas D, Theofilatou V, Zaric B, Courcoutsakis N, Nikolaidis G, Huang H, Bai C. Effective early diagnosis for NSCLC: an algorithm. Expert Rev Respir Med 2021; 15:1437-1445. [PMID: 34403620 DOI: 10.1080/17476348.2021.1969916] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
INTRODUCTION Lung cancer still remains undiagnosed for most patients until the disease is inoperable. AREAS COVERED We performed search on PubMed with the keywords: EBUS, radial-EBUS, bronchoscopy, lung cancer, electromagnetic navigation, ct-biopsy, transthoracic biopsy. We present diagnostic equipment and imaging techniques such as positron emission tomography, endoscopical navigation systems, endobronchial ultrasound, radial-endobronchial ultrasound, transthoracic ultrasound biopsy, and computed tomography guided biopsies. EXPERT OPINION However, lack of early disease symptoms remains the most important issue and therefore we should direct our efforts to screening and early disease diagnosis. An algorithm is proposed for biopsy upon initial disease diagnosis.
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Affiliation(s)
- Paul Zarogoulidis
- 3rd Department of Surgery, ``ahepa`` University Hospital, Aristotle University of Thessaloniki, Medical School, Thessaloniki, Greece.,Pulmonary Oncology Department, ``Bioclinic`` Private Hospital, Thessaloniki, Greece
| | | | | | - Wolfgang Hohenforst-Schmidt
- Sana Clinic Group Franken, Department of Cardiology/Pulmonology/Intensive Care/Nephrology, "Hof" Clinics, University of Erlangen, Hof, Germany
| | - Kosmas Tsakiridis
- Thoracic Oncology Department, ``Interbalkan`` European Medical Center, Thessaloniki, Greece
| | - Sofia Mpaka
- Oncology Department, ``Interbalkan`` European Medical Center, Thessaloniki, Greece
| | - Ioannis Boukovinas
- Oncology Department, ``Bioclinic`` Private Hospital, Thessaloniki, Greece
| | - Dimitris Drougas
- Nuclear Medicine Department, ``Bioiatriki`` Private PET-CT Laboratory, Thessaloniki, Greece
| | - Vasiliki Theofilatou
- Nuclear Medicine Department, ``Bioiatriki`` Private PET-CT Laboratory, Thessaloniki, Greece
| | - Bojan Zaric
- Faculty of Medicine, University of Novi Sad, Institute for Pulmonary Diseases of Vojvodina, Novi Sad, Serbia
| | - Nikolaos Courcoutsakis
- Radiology Department, Democritus University of Thrace, General Hospital of Alexandroupolis, Alexandroupolis, Greece
| | - George Nikolaidis
- Surgery Department, ``General Clinic`` Euromedica, Thessaloniki, Greece
| | - Haidong Huang
- Department of Respiratory & Critical Care Medicine, Changhai Hospital, the Second Military Medical University, Shanghai, China
| | - Chong Bai
- Department of Respiratory & Critical Care Medicine, Changhai Hospital, the Second Military Medical University, Shanghai, China
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[Expert Consensus on Technical Specifications of Domestic Electromagnetic Navigation Bronchoscopy System in Diagnosis, Localization and Treatment (2021 Edition)]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2021; 24:529-537. [PMID: 34412766 PMCID: PMC8387647 DOI: 10.3779/j.issn.1009-3419.2021.101.30] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Electromagnetic navigation bronchoscopy (ENB) is a novel type of bronchoscopy based on electromagnetic positioning technique combined with virtual bronchoscopy, three-dimensional computed tomography (CT) imaging and respiratory gating technique, which has been widely applied in clinic practice. In recent years, the domestic electromagnetic navigation system has also been developed rapidly, and its effectiveness and safety in the diagnosis, localization, and treatment of peripheral pulmonary lesions have been initially verified. In order to optimize and standardize the technical specifications of domestic ENB and guide its application in clinical practice, the consensus statement has been organized and written in a collaborative effort by the Professional Committee on Respiratory Equipment Technology of Chinese Medical Equipment Association and the Expert Group on Technical of Domestic Electromagnetic Navigation Bronchoscopy.
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