1
|
Lee RM, Rajaram R. Improving care in lung cancer surgery: a review of quality measures and evolving standards. Curr Opin Pulm Med 2024; 30:368-374. [PMID: 38587082 DOI: 10.1097/mcp.0000000000001077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
PURPOSE OF REVIEW Lung cancer is the leading cause of cancer-related death in the United States. Pulmonary resection, in addition to perioperative systemic therapies, is a cornerstone of treatment for operable patients with early-stage and locoregional disease. In recent years, increased emphasis has been placed on surgical quality metrics: specific and evidence-based structural, process, and outcome measures that aim to decrease variation in lung cancer care and improve long term outcomes. These metrics can be divided into potential areas of intervention or improvement in the preoperative, intraoperative, and postoperative phases of care and form the basis of guidelines issued by organizations including the National Cancer Center Network (NCCN) and Society of Thoracic Surgeons (STS). This review focuses on established quality metrics associated with lung cancer surgery with an emphasis on the most recent research and guidelines. RECENT FINDINGS Over the past 18 months, quality metrics across the peri-operative care period were explored, including optimal invasive mediastinal staging preoperatively, the extent of intraoperative lymphadenectomy, surgical approaches related to minimally invasive resection, and enhanced recovery pathways that facilitate early discharge following pulmonary resection. SUMMARY Quality metrics in lung cancer surgery is an exciting and important area of research. Adherence to quality metrics has been shown to improve overall survival and guidelines supporting their use allows targeted quality improvement efforts at a local level to facilitate more consistent, less variable oncologic outcomes across centers.
Collapse
Affiliation(s)
- Rachel M Lee
- University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | | |
Collapse
|
2
|
Shah E, Raman NS, Aggarwal MK, Jain A, Chokhani A, Murugan A, Goyal R, Darlong L, Batra U. Accuracy of endobronchial ultrasound (EBUS) in the staging of lung cancer - A comparison of staging EBUS with postoperative pathological nodal staging. Lung India 2024; 41:93-97. [PMID: 38700401 PMCID: PMC10959321 DOI: 10.4103/lungindia.lungindia_449_23] [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: 09/07/2023] [Revised: 11/01/2023] [Accepted: 11/08/2023] [Indexed: 05/05/2024] Open
Abstract
BACKGROUND Endobronchial ultrasound-guided transbronchial fine-needle aspiration (EBUS-TBNA) has replaced mediastinoscopy as the preferred investigation for evaluating mediastinum in staging lung cancer. There is little evidence of mediastinal staging by EBUS-TBNA from India. OBJECTIVES To study endobronchial ultrasound's diagnostic accuracy in staging lung cancer. METHODOLOGY We retrospectively analysed patients operated on for lung cancer where EBUS was performed preoperatively for mediastinal staging. We compared the histological findings obtained from different mediastinal lymph nodes (LNs) by EBUS-TBNA with the pathology of the same LNs obtained after surgical dissection as the reference standard. RESULTS Seventy-six patients underwent curative surgery for lung cancer. The diagnostic accuracy, sensitivity, specificity, positive predictive value and negative predictive value of EBUS-TBNA in predicting mediastinal metastasis were 93.9%, 40%, 99%, 80% and 94.6%, respectively. Of the 115 LNs sampled, EBUS-TBNA was false negative in six nodes, resulting in an up-staging of six patients. CONCLUSIONS EBUS-TBNA has a high diagnostic accuracy for lung cancer staging.
Collapse
Affiliation(s)
- Eshita Shah
- Department of Interventional Pulmonology, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
| | - N. Sankara Raman
- Department of Interventional Pulmonology, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
| | - Manish K. Aggarwal
- Department of Interventional Pulmonology, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
| | - Amit Jain
- Department of Interventional Pulmonology, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
| | - Arushi Chokhani
- Department of Interventional Pulmonology, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
| | - Avinash Murugan
- Department of Interventional Pulmonology, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
| | - Rajiv Goyal
- Department of Interventional Pulmonology, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
| | - Laengmawia Darlong
- Department of Thoracic Surgery, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
| | - Ullas Batra
- Department of Medical Oncology, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
| |
Collapse
|
3
|
McGrath S, Shen YJ, Aragaki M, Motooka Y, Koga T, Gregor A, Bernards N, Cherin E, Demore CEM, Yasufuku K, Matsuura N. Imaging Microbubbles With Contrast-Enhanced Endobronchial Ultrasound. ULTRASOUND IN MEDICINE & BIOLOGY 2024; 50:28-38. [PMID: 37813701 DOI: 10.1016/j.ultrasmedbio.2023.08.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 08/02/2023] [Accepted: 08/28/2023] [Indexed: 10/11/2023]
Abstract
OBJECTIVE Endobronchial ultrasound (EBUS) is commonly used to guide transbronchial needle biopsies for the staging of lymph nodes in non-small cell lung cancer patients. Although contrast-enhanced ultrasound (CEUS) and microbubbles (MBs) can improve the diagnostic accuracy in tumors, the ability of contrast-enhanced EBUS (CE-EBUS) to image MBs has not yet been comprehensively evaluated. In this study, we assessed the ability of a CE-EBUS system (Olympus EU-ME2 PREMIER and BF-UC180F bronchoscope) to detect laboratory-synthesized MBs in comparison to clinical (Toshiba Aplio SSA-790A) and pre-clinical (VisualSonics Vevo 2100) CEUS systems in vitro and in vivo, respectively. METHODS Agar flow phantoms and reference tissue were used to assess CE-EBUS MB imaging in vitro, and A549 tumor-bearing athymic nude and AE17-OVA tumor-bearing C57BL/6 mice were used to assess MB detectability and perfusion in vivo, respectively. RESULTS Results revealed that despite the lower sensitivity of CE-EBUS to MB concentration in comparison to clinical CEUS, CE-EBUS yielded a similar contrast-to-tissue ratio (CTR) in vitro of 28.9 ± 4.5 dB for CE-EBUS, compared with 29.7 ± 2.6 dB for clinical CEUS (p < 0.05). In vivo, CE-EBUS generated a perfusion curve highly correlated with that obtained with the pre-clinical CEUS system (Pearson correlation coefficient = 0.927, p < 0.05). Moreover, CE-EBUS yielded a CTR 2.7 times higher than that obtained with the pre-clinical ultrasound system. CONCLUSION These findings together suggest that CE-EBUS can perform contrast imaging comparable to that produced by commercial pre-clinical and clinical ultrasound systems, with potential for clinical characterization of mediastinal lymph nodes in lung cancer patients.
Collapse
Affiliation(s)
- Sean McGrath
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
| | - Yu-Jack Shen
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
| | - Masato Aragaki
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Yamato Motooka
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Takamasa Koga
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Alexander Gregor
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Nicholas Bernards
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Emmanuel Cherin
- Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Christine E M Demore
- Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Kazuhiro Yasufuku
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada; Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Naomi Matsuura
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada; Department of Materials Science & Engineering, University of Toronto, Toronto, ON, Canada; Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
| |
Collapse
|
4
|
Ishiwata T, Yasufuku K. Artificial intelligence in interventional pulmonology. Curr Opin Pulm Med 2024; 30:92-98. [PMID: 37916605 DOI: 10.1097/mcp.0000000000001024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2023]
Abstract
PURPOSE OF REVIEW In recent years, there has been remarkable progress in the field of artificial intelligence technology. Artificial intelligence applications have been extensively researched and actively implemented across various domains within healthcare. This study reviews the current state of artificial intelligence research in interventional pulmonology and engages in a discussion to comprehend its capabilities and implications. RECENT FINDINGS Deep learning, a subset of artificial intelligence, has found extensive applications in recent years, enabling highly accurate identification and labeling of bronchial segments solely from intraluminal bronchial images. Furthermore, research has explored the use of artificial intelligence for the analysis of endobronchial ultrasound images, achieving a high degree of accuracy in distinguishing between benign and malignant targets within ultrasound images. These advancements have become possible due to the increased computational power of modern systems and the utilization of vast datasets, facilitating detections and predictions with greater precision and speed. SUMMARY Artificial intelligence integration into interventional pulmonology has the potential to enhance diagnostic accuracy and patient safety, ultimately leading to improved patient outcomes. However, the clinical impacts of artificial intelligence enhanced procedures remain unassessed. Additional research is necessary to evaluate both the advantages and disadvantages of artificial intelligence in the field of interventional pulmonology.
Collapse
Affiliation(s)
- Tsukasa Ishiwata
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | | |
Collapse
|
5
|
Zhong Y, Cai C, Chen T, Gui H, Deng J, Yang M, Yu B, Song Y, Wang T, Sun X, Shi J, Chen Y, Xie D, Chen C, She Y. PET/CT based cross-modal deep learning signature to predict occult nodal metastasis in lung cancer. Nat Commun 2023; 14:7513. [PMID: 37980411 PMCID: PMC10657428 DOI: 10.1038/s41467-023-42811-4] [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: 03/25/2023] [Accepted: 10/20/2023] [Indexed: 11/20/2023] Open
Abstract
Occult nodal metastasis (ONM) plays a significant role in comprehensive treatments of non-small cell lung cancer (NSCLC). This study aims to develop a deep learning signature based on positron emission tomography/computed tomography to predict ONM of clinical stage N0 NSCLC. An internal cohort (n = 1911) is included to construct the deep learning nodal metastasis signature (DLNMS). Subsequently, an external cohort (n = 355) and a prospective cohort (n = 999) are utilized to fully validate the predictive performances of the DLNMS. Here, we show areas under the receiver operating characteristic curve of the DLNMS for occult N1 prediction are 0.958, 0.879 and 0.914 in the validation set, external cohort and prospective cohort, respectively, and for occult N2 prediction are 0.942, 0.875 and 0.919, respectively, which are significantly better than the single-modal deep learning models, clinical model and physicians. This study demonstrates that the DLNMS harbors the potential to predict ONM of clinical stage N0 NSCLC.
Collapse
Affiliation(s)
- Yifan Zhong
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Chuang Cai
- School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, Jiangsu, China
| | - Tao Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Hao Gui
- Graduate School at Shenzhen, Tsinghua University, Shenzhen, China
| | - Jiajun Deng
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Minglei Yang
- Department of Thoracic Surgery, Ningbo HwaMei Hospital, Chinese Academy of Sciences, Zhejiang, China
| | - Bentong Yu
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanchang University, Jiangxi, China
| | - Yongxiang Song
- Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical University, Guizhou, China
| | - Tingting Wang
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiwen Sun
- Department of Radiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jingyun Shi
- Department of Radiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yangchun Chen
- Department of Nuclear Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Dong Xie
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
| | - Chang Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
| | - Yunlang She
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
| |
Collapse
|
6
|
Divisi D, Di Leonardo G, Venturino M, Scarnecchia E, Gonfiotti A, Viggiano D, Lucchi M, Mastromarino MG, Bertani A, Crisci R. Endobronchial Ultrasound/Transbronchial Needle Aspiration-Biopsy for Systematic Mediastinal lymph Node Staging of Non-Small Cell Lung Cancer in Patients Eligible for Surgery: A Prospective Multicenter Study. Cancers (Basel) 2023; 15:4029. [PMID: 37627057 PMCID: PMC10452056 DOI: 10.3390/cancers15164029] [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: 07/13/2023] [Revised: 08/06/2023] [Accepted: 08/07/2023] [Indexed: 08/27/2023] Open
Abstract
BACKGROUND The treatment of lung cancer depends on histological and/or cytological evaluation of the mediastinal lymph nodes. Endobronchial ultrasound/transbronchial needle aspiration-biopsy (EBUS/TBNA-TBNB) is the only minimally invasive technique for a diagnostic exploration of the mediastinum. The aim of this study is to analyze the reliability of EBUS in the preoperative staging of non-small cell lung cancer (NSCLC). METHODS A prospective study was conducted from December 2019 to December 2022 on 217 NSCLC patients, who underwent preoperative mediastinal staging using EBUS/TBNA-TBNB according to the ACCP and ESTS guidelines. The following variables were analyzed in order to define the performance of the endoscopic technique-comparing the final staging of lung cancer after pulmonary resection with the operative histological findings: clinical characteristics, lymph nodes examined, number of samples, and likelihood ratio for positive and negative outcomes. RESULTS No morbidity or mortality was noted. All patients were discharged from hospital on day one. In 201 patients (92.6%), the preoperative staging using EBUS and the definitive staging deriving from the evaluation of the operative specimen after lung resection were the same; the same number of patients were detected in downstaging and upstaging (8 and 8, 7.4%). The sensitivity, specificity, positive and negative predictive value, and diagnostic accuracy were 90%, 90%, 82%, 94%, and 90%, respectively. The likelihood ratio for positive and negative results was 9 and 0.9, respectively, confirming cancer when present and excluding it when absent. CONCLUSIONS EBUS is the only low-invasive and easy procedure for mediastinal staging. The possibility to check the method in each of its phases-through direct visualization of the vessels regardless of their location in relation to the lymph nodes-makes it safe both for the endoscopist and for the patient. Certainly, the cytologist/histologist and/or operator must have adequate expertise in order not to negatively affect the outcome of the method, although three procedures appear to reduce the impact of the individual professional involved on performance.
Collapse
Affiliation(s)
- Duilio Divisi
- Department of Life, Health and Environmental Sciences, Thoracic Surgery Unit, University of L’Aquila, 67100 L’Aquila, Italy
| | - Gabriella Di Leonardo
- Department of Life, Health and Environmental Sciences, Thoracic Surgery Unit, University of L’Aquila, 67100 L’Aquila, Italy
| | | | - Elisa Scarnecchia
- Department of Thoracic Surgery, Cuneo General Hospital, 12100 Cuneo, Italy
| | - Alessandro Gonfiotti
- Thoracic Surgery Department of Experimental and Clinical Medicine, University of Florence, 50121 Florence, Italy
| | - Domenico Viggiano
- Thoracic Surgery Department of Experimental and Clinical Medicine, University of Florence, 50121 Florence, Italy
| | - Marco Lucchi
- Division of Thoracic Surgery, University Hospital of Pisa, 56124 Pisa, Italy
| | | | - Alessandro Bertani
- Division of Thoracic Surgery and Lung Transplantation, IRCCS ISMETT-UPMC, 90127 Palermo, Italy
| | - Roberto Crisci
- Department of Life, Health and Environmental Sciences, Thoracic Surgery Unit, University of L’Aquila, 67100 L’Aquila, Italy
| |
Collapse
|
7
|
Dunne EG, Fick CN, Jones DR. Mediastinal Staging in Non-Small-Cell Lung Cancer: Saying Goodbye to Mediastinoscopy. J Clin Oncol 2023; 41:3785-3790. [PMID: 37267507 PMCID: PMC10419653 DOI: 10.1200/jco.23.00867] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 04/26/2023] [Indexed: 06/04/2023] Open
Abstract
The Oncology Grand Rounds series is designed to place original reports published in the Journal into clinical context. A case presentation is followed by a description of diagnostic and management challenges, a review of the relevant literature, and a summary of the authors' suggested management approaches. The goal of this series is to help readers better understand how to apply the results of key studies, including those published in Journal of Clinical Oncology, to patients seen in their own clinical practice.Accurate staging of the mediastinal lymph nodes in resectable non-small-cell lung cancer (NSCLC) is critically important to determine the overall stage of the tumor and guide subsequent management. The staging process typically begins with positron emission tomography (PET) or computed tomography imaging; however, imaging alone is inadequate, and tissue acquisition is required for confirmation of nodal disease. Mediastinoscopy was long considered the gold standard for staging of mediastinal lymph nodes, but, recently, endobronchial ultrasound-guided (EBUS) fine-needle aspiration (FNA) has become the standard of care. EBUS-FNA, in combination with supplementary technologies, such as intranodal forceps biopsy and esophageal ultrasonography, has a high sensitivity and specificity for the diagnosis of nodal metastases. EBUS-FNA is also capable of assessing N1 disease and obtaining adequate tissue for tumor genomic analysis to help guide treatment. In the case of negative findings on EBUS, a confirmatory video mediastinoscopy is still recommended by the European Society of Thoracic Surgeons guidelines. However, whether confirmatory mediastinoscopy is necessary is a matter of debate, and it is not commonly performed in North America. To address this question, Bousema and colleagues performed a randomized noninferiority trial to determine rates of unforeseen nodal metastases after EBUS alone versus EBUS with confirmatory mediastinoscopy in patients with resectable NSCLC. The authors concluded that EBUS alone is noninferior to EBUS with confirmatory mediastinoscopy. These findings affirm our current practice to forgo confirmatory mediastinoscopy after negative findings on EBUS.
Collapse
Affiliation(s)
- Elizabeth G. Dunne
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Cameron N. Fick
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - David R. Jones
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
- Druckenmiller Center for Lung Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY
| |
Collapse
|
8
|
Behinaein P, Treffalls J, Hutchings H, Okereke IC. The Role of Sublobar Resection for the Surgical Treatment of Non-Small Cell Lung Cancer. Curr Oncol 2023; 30:7019-7030. [PMID: 37504369 PMCID: PMC10378348 DOI: 10.3390/curroncol30070509] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 07/17/2023] [Accepted: 07/19/2023] [Indexed: 07/29/2023] Open
Abstract
Lung cancer is the most common cancer killer in the world. The standard of care for surgical treatment of non-small cell lung cancer has been lobectomy. Recent studies have identified that sublobar resection has non-inferior survival rates compared to lobectomy, however. Sublobar resection may increase the number of patients who can tolerate surgery and reduce postoperative pulmonary decline. Sublobar resection appears to have equivalent results to surgery in patients with small, peripheral tumors and no lymph node disease. As the utilization of segmentectomy increases, there may be some centers that perform this operation more than other centers. Care must be taken to ensure that all patients have access to this modality. Future investigations should focus on examining the outcomes from segmentectomy as it is applied more widely. When employed on a broad scale, morbidity and survival rates should be monitored. As segmentectomy is performed more frequently, patients may experience improved postoperative quality of life while maintaining the same oncologic benefit.
Collapse
Affiliation(s)
- Parnia Behinaein
- School of Medicine, Wayne State University, Detroit, MI 48202, USA
| | - John Treffalls
- Long School of Medicine, University of Texas Health San Antonio, San Antonio, TX 78229, USA
| | - Hollis Hutchings
- Department of Surgery, Henry Ford Health, Detroit, MI 48202, USA
| | - Ikenna C Okereke
- Department of Surgery, Henry Ford Health, Detroit, MI 48202, USA
| |
Collapse
|
9
|
Mankidy BJ, Mohammad G, Trinh K, Ayyappan AP, Huang Q, Bujarski S, Jafferji MS, Ghanta R, Hanania AN, Lazarus DR. High risk lung nodule: A multidisciplinary approach to diagnosis and management. Respir Med 2023; 214:107277. [PMID: 37187432 DOI: 10.1016/j.rmed.2023.107277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 04/28/2023] [Accepted: 05/04/2023] [Indexed: 05/17/2023]
Abstract
Pulmonary nodules are often discovered incidentally during CT scans performed for other reasons. While the vast majority of nodules are benign, a small percentage may represent early-stage lung cancer with the potential for curative treatments. With the growing use of CT for both clinical purposes and lung cancer screening, the number of pulmonary nodules detected is expected to increase substantially. Despite well-established guidelines, many nodules do not receive proper evaluation due to a variety of factors, including inadequate coordination of care and financial and social barriers. To address this quality gap, novel approaches such as multidisciplinary nodule clinics and multidisciplinary boards may be necessary. As pulmonary nodules may indicate early-stage lung cancer, it is crucial to adopt a risk-stratified approach to identify potential lung cancers at an early stage, while minimizing the risk of harm and expense associated with over investigation of low-risk nodules. This article, authored by multiple specialists involved in nodule management, delves into the diagnostic approach to lung nodules. It covers the process of determining whether a patient requires tissue sampling or continued surveillance. Additionally, the article provides an in-depth examination of the various biopsy and therapeutic options available for malignant lung nodules. The article also emphasizes the significance of early detection in reducing lung cancer mortality, especially among high-risk populations. Furthermore, it addresses the creation of a comprehensive lung nodule program, which involves smoking cessation, lung cancer screening, and systematic evaluation and follow-up of both incidental and screen-detected nodules.
Collapse
Affiliation(s)
- Babith J Mankidy
- Division of Pulmonary, Critical Care and Sleep Medicine, Baylor College of Medicine, 1Baylor Plaza, Houston, TX, 77030, USA.
| | - GhasemiRad Mohammad
- Department of Radiology, Division of Vascular and Interventional Radiology, Baylor College of Medicine, USA.
| | - Kelly Trinh
- Texas Tech University Health Sciences Center, School of Medicine, USA.
| | - Anoop P Ayyappan
- Department of Radiology, Division of Thoracic Radiology, Baylor College of Medicine, USA.
| | - Quillan Huang
- Department of Oncology, Baylor College of Medicine, USA.
| | - Steven Bujarski
- Division of Pulmonary, Critical Care and Sleep Medicine, Baylor College of Medicine, 1Baylor Plaza, Houston, TX, 77030, USA.
| | | | - Ravi Ghanta
- Department of Cardiothoracic Surgery, Baylor College of Medicine, USA.
| | | | - Donald R Lazarus
- Division of Pulmonary, Critical Care and Sleep Medicine, Baylor College of Medicine, 1Baylor Plaza, Houston, TX, 77030, USA.
| |
Collapse
|
10
|
Öztürk A, Çiçek T, Yılmaz A. What is the yield of EBUS-TBNA for re-evaluation of previously treated non-small-cell lung cancer? Turk J Med Sci 2023; 53:586-593. [PMID: 37476873 PMCID: PMC10387873 DOI: 10.55730/1300-0144.5619] [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: 07/04/2022] [Accepted: 02/13/2023] [Indexed: 07/22/2023] Open
Abstract
BACKGROUND Locoregional recurrence in lung cancer still remains an important problem. We aimed to indicate the effectiveness of endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) for reevaluation in previously treated nonsmall cell lung cancer (NSCLC). METHODS : NSCLC patients who underwent EBUS for rebiopsy of suspicious recurrent or progressive lesions between January 2010 and June 2017 were reviewed. Patients were categorized into two groups based on the previous treatment modalities: Group 1 (G1) consisted of patients who had been treated with chemoradiotherapy, and Group 2 (G2) consisted of patients who had undergone radical surgery. RESULTS Of 115 patients, 100 patients enrolled in the study. Of 26 patients with 35 lymph nodes in G1, malignant cells were identified in thirteen patients (50%). Anthracosis was detected in the remaining. Malignancy was detected in 28 patients (37.8%) in G2. Thirty-threepatients were diagnosed as benign (24 anthracosis; 8 lymphocytes, and 1 granulomatous); 8 were not sampled, and inadequate material was obtained in five. The sensitivity, specificity, negative and positive predictive value, and overall diagnostic accuracy of EBUS-TBNA for rebiopsy in G1 were 84.8%, 100%, 89.1%, 100%, and 93.2%, respectively. These values were all perfect in G2. DISCUSSION EBUS-TBNA could be preferred as a feasible and efficient procedure for rebiopsy in previously treated NSCLC patients.
Collapse
Affiliation(s)
- Ayperi Öztürk
- Department of Interventional Pulmonology, Atatürk Sanatoryum Training and Research Hospital, Health Science University, Ankara, Turkey
| | - Tuğba Çiçek
- Department of Chest Diseases, Konya Numune Hospital, Konya, Turkey
| | - Aydın Yılmaz
- Department of Interventional Pulmonology, Atatürk Sanatoryum Training and Research Hospital, Health Science University, Ankara, Turkey
| |
Collapse
|
11
|
Bonert M, Zafar U, Ramadan S, Finley C, Cutz JC, Foster G, Ask K, Naqvi A. The physician factor and anatomical site in 8846 consecutive mediastinal lymph node aspirations in a cross-sectional study. Sci Rep 2023; 13:1784. [PMID: 36720994 PMCID: PMC9889352 DOI: 10.1038/s41598-022-26962-w] [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: 11/03/2021] [Accepted: 12/22/2022] [Indexed: 02/02/2023] Open
Abstract
Mediastinal lymph node fine needle aspiration (MLN-FNA) is a common procedure; however, the physician factor in pathological category, and anatomical site are not routinely assessed. Cytology reports for endobronchial ultrasound (EBUS)/endoscopic ultrasound (EUS) MLN-FNA specimens (8846) were retrieved for July 2012-Dec 2019, classified by hierarchical free text string match algorithm into 51 diagnostic categories, four mutually exclusive diagnostic groups (benign |suspicious |malignant |insufficient), and 24 anatomical sites. Pathologist and submitting physician/surgeon bias were assessed using logistic regression and funnel plots|control charts centered on the group median (diagnostic/capture) rate. Eleven pathologists and seven submitting physician/surgeon were involved in more than 250 specimens each. Overall, the MLN-FNAs were benign|suspicious|malignant|insufficient in 46%|4%|25%|24% of specimens. Percent malignant (number of samples) varied by station; 7| 4R| 4L| 2R| 10R| 11R| 11L were respectively 21%(3,101), 27%(2,453), 19%(1,289), 41%(435), 27%(497), 24%(357), 26%(229). The number of outlier (P < 0.05/P < 0.001) pathologists of 11 from the group median rate for benign|suspicious|malignant|insufficient was 0/0| 3/1| 0/0| 3/0 respectively. The outlier (P < 0.05/P < 0.001) submitting physicians/surgeons of 7 for benign|suspicious|malignant|insufficient was 3/2| 2/2| 3/2| 3/2 respectively. The physician and anatomical site are significant predictors of MLN-FNA pathology.
Collapse
Affiliation(s)
- Michael Bonert
- Division of Anatomical Pathology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada.,Department of Pathology, St. Joseph's Healthcare Hamilton, Room L222-3, 50 Charlton Avenue East, Hamilton, ON, L8N 4A6, Canada
| | - Uzma Zafar
- Department of Pathology, Rutgers Health/St. Barnabas Medical Center, Livingston, NJ, USA
| | - Soha Ramadan
- Division of Anatomical Pathology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada.,Department of Pathology, St. Joseph's Healthcare Hamilton, Room L222-3, 50 Charlton Avenue East, Hamilton, ON, L8N 4A6, Canada
| | - Christian Finley
- Division of Thoracic Surgery, Department of Surgery, McMaster University, Hamilton, ON, L8S 4L8, Canada.,St. Joseph's Healthcare Hamilton, Hamilton, ON, L8N 4A6, Canada
| | - Jean-Claude Cutz
- Division of Anatomical Pathology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada.,Department of Pathology, St. Joseph's Healthcare Hamilton, Room L222-3, 50 Charlton Avenue East, Hamilton, ON, L8N 4A6, Canada
| | - Gary Foster
- Department of Pathology, St. Joseph's Healthcare Hamilton, Room L222-3, 50 Charlton Avenue East, Hamilton, ON, L8N 4A6, Canada.,Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
| | - Kjetil Ask
- Department of Medicine, McMaster University, Hamilton, ON, L8S 4L8, Canada
| | - Asghar Naqvi
- Division of Anatomical Pathology, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada. .,Department of Pathology, St. Joseph's Healthcare Hamilton, Room L222-3, 50 Charlton Avenue East, Hamilton, ON, L8N 4A6, Canada.
| |
Collapse
|
12
|
Wiesel O, Kaufman D, Caplan-Shaw C, Shaw J. Perspective and practice patterns of mediastinal staging among thoracic surgeons. J Thorac Dis 2022; 14:3727-3736. [PMID: 36389296 PMCID: PMC9641344 DOI: 10.21037/jtd-22-183] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 06/17/2022] [Indexed: 01/18/2023]
Abstract
Background Accurate mediastinal staging of lung cancer patients is critical for determining appropriate treatment. Mediastinoscopy and endobronchial ultrasound (EBUS)-guided transbronchial needle aspiration are the most commonly utilized techniques. Limited data exist on training and practice trends among thoracic surgeons. We aimed to determine training and practice patterns and find whether there is a paradigm shift in mediastinal staging after the introduction of EBUS into practice among thoracic surgeons in the United States. Methods 28-question survey was constructed querying demographic, training, and practice patterns with mediastinoscopy and EBUS and was sent to practicing thoracic surgeons in the United States. Descriptive statistics were used to summarize quantitative data. Results Ninety-eight responded with a 93% completion rate. Eighty-seven percent of respondents received training in EBUS and 70% perform EBUS routinely. All respondents believe EBUS should be incorporated into thoracic surgery training curriculums. Majority of those who prefer EBUS feel EBUS is safer than mediastinoscopy, allows access to lymph nodes stations or lesions inaccessible by mediastinoscopy and prefer EBUS to avoid re-do mediastinoscopy and in irradiated mediastinum. Majority of those who prefer mediastinoscopy reported they perform more accurate staging compared to EBUS, that mediastinoscopy is more accurate in diagnosing lymphoma or sarcoidosis and that frozen section can be done at the same interval as resection. Among surgeons who prefer EBUS, 94% biopsy 3 or more lymph node stations, 86% routinely biopsy hilar (N1) nodes while 8% never biopsy N1 nodes. Of surgeons who prefer mediastinoscopy. Ninety-seven percent biopsy 3 or more lymph node stations, only 27% routinely biopsy N1 nodes and 70% never biopsy N1 nodes. Conclusions EBUS is used frequently by thoracic surgeons in their practice for mediastinal staging. Methods of obtaining proficiency in EBUS widely varied among surgeons. In addition to mediastinoscopy, dedicated EBUS training should be incorporated into thoracic surgery training curriculums.
Collapse
Affiliation(s)
- Ory Wiesel
- The Cardiovascular Institute, Division of Thoracic Surgery, Baruch-Padeh Medical Center of the North, Poriya, Israel;,The Faculty of Medicine in the Galilee, Bar-Ilan University, Ramat Gan, Israel
| | - Daniel Kaufman
- Division of General Thoracic Surgery, Maimonides Medical Center, Brooklyn, New York, NY, USA
| | - Caralee Caplan-Shaw
- Division of Pulmonary, Critical Care and Sleep Medicine, NYU Grossman School of Medicine, New York, NY, USA
| | - Jason Shaw
- Division of General Thoracic Surgery, Maimonides Medical Center, Brooklyn, New York, NY, USA
| |
Collapse
|
13
|
Deep Learning Using Endobronchial-Ultrasound-Guided Transbronchial Needle Aspiration Image to Improve the Overall Diagnostic Yield of Sampling Mediastinal Lymphadenopathy. Diagnostics (Basel) 2022; 12:diagnostics12092234. [PMID: 36140635 PMCID: PMC9497910 DOI: 10.3390/diagnostics12092234] [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: 07/07/2022] [Revised: 08/23/2022] [Accepted: 09/13/2022] [Indexed: 11/17/2022] Open
Abstract
Lung cancer is the biggest cause of cancer-related death worldwide. An accurate nodal staging is critical for the determination of treatment strategy for lung cancer patients. Endobronchial-ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) has revolutionized the field of pulmonology and is considered to be extremely sensitive, specific, and secure for lung cancer staging through rapid on-site evaluation (ROSE), but manual visual inspection on the entire slide of EBUS smears is challenging, time consuming, and worse, subjective, on a large interobserver scale. To satisfy ROSE’s needs, a rapid, automated, and accurate diagnosis system using EBUS-TBNA whole-slide images (WSIs) is highly desired to improve diagnosis accuracy and speed, minimize workload and labor costs, and ensure reproducibility. We present a fast, efficient, and fully automatic deep-convolutional-neural-network-based system for advanced lung cancer staging on gigapixel EBUS-TBNA cytological WSIs. Each WSI was converted into a patch-based hierarchical structure and examined by the proposed deep convolutional neural network, generating the segmentation of metastatic lesions in EBUS-TBNA WSIs. To the best of the authors’ knowledge, this is the first research on fully automated enlarged mediastinal lymph node analysis using EBUS-TBNA cytological WSIs. We evaluated the robustness of the proposed framework on a dataset of 122 WSIs, and the proposed method achieved a high precision of 93.4%, sensitivity of 89.8%, DSC of 82.2%, and IoU of 83.2% for the first experiment (37.7% training and 62.3% testing) and a high precision of 91.8 ± 1.2, sensitivity of 96.3 ± 0.8, DSC of 94.0 ± 1.0, and IoU of 88.7 ± 1.8 for the second experiment using a three-fold cross-validation, respectively. Furthermore, the proposed method significantly outperformed the three state-of-the-art baseline models, including U-Net, SegNet, and FCN, in terms of precision, sensitivity, DSC, and Jaccard index, based on Fisher’s least significant difference (LSD) test (p<0.001). For a computational time comparison on a WSI, the proposed method was 2.5 times faster than U-Net, 2.3 times faster than SegNet, and 3.4 times faster than FCN, using a single GeForce GTX 1080 Ti, respectively. With its high precision and sensitivity, the proposed method demonstrated that it manifested the potential to reduce the workload of pathologists in their routine clinical practice.
Collapse
|
14
|
Husta BC, Kalchiem-Dekel O, Beattie JA, Yasufuku K. Mediastinal Staging with Endobronchial Ultrasound in Early-Stage Non-Small Cell Lung Cancer: Is It Necessary? Semin Respir Crit Care Med 2022; 43:503-511. [PMID: 36104026 DOI: 10.1055/s-0042-1748189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
Herein we examine the need for minimally invasive mediastinal staging for patients with early-stage non-small cell lung cancer (NSCLC) using endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA). Early NSCLC, stages 1 and 2, has a 5-year survival rate between 53 and 92%, whereas stages 3 and 4 have a 5-year survival of 36% and below. With more favorable outcomes in earlier stages, greater emphasis has been placed on identifying lung cancer earlier in its disease process. Accurate staging is crucial as it dictates both prognosis and therapy. Inaccurate staging can adversely impact surgical candidacy (if falsely "over-staged") or lead to inadequate treatment (if "under-staged"). Clinical staging utilizes noninvasive methods to evaluate the anatomic extent of disease; however, it remains controversial whether mediastinal staging of early NSCLC with radiological exams alone is sufficient. EBUS-TBNA has altered the landscape of invasive mediastinal staging and is a crucial component to improving confidence in lung cancer staging, specifically in early NSCLC. Radiographic occult lymph node metastasis identified upon review of surgical resection specimens of early NSCLC may support the argument to perform EBUS-TBNA in all cases of early-stage disease. Other data suggest that EBUS-TBNA could be spared in cases of peripheral cT1aN0 and cT1bN0 for which surgical resection with lymph node dissection is planned. By reviewing reported EBUS-TBNA outcomes in patients with early NSCLC, we aim to emphasize the necessity of staging with EBUS in this population.
Collapse
Affiliation(s)
- Bryan C Husta
- Section of Interventional Pulmonology, Memorial Sloan Kettering Cancer Center, New York, New York, United States
| | - Or Kalchiem-Dekel
- Section of Interventional Pulmonology, Memorial Sloan Kettering Cancer Center, New York, New York, United States
| | - Jason A Beattie
- Section of Interventional Pulmonology, Memorial Sloan Kettering Cancer Center, New York, New York, United States
| | - Kazuhiro Yasufuku
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, University of Toronto
| |
Collapse
|
15
|
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.
Collapse
|
16
|
Liu X, Yang K, Guo W, Ye M, Liu S. Mediastinal Nodal Staging Performance of Combined Endobronchial and Esophageal Endosonography in Lung Cancer Cases: A Systematic Review and Meta-Analysis. Front Surg 2022; 9:890993. [PMID: 35677749 PMCID: PMC9168235 DOI: 10.3389/fsurg.2022.890993] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 04/27/2022] [Indexed: 02/05/2023] Open
Abstract
By searching lliteratures till January 5, 2022, we evaluated the role of the mediastinal nodal staging of endobronchial ultrasound-guided fine-needle aspiration (EBUS) and endoscopic ultrasound-guided fine-needle aspiration (EUS) in lung cancer. A total of 20 studies with 2,961 patients were included in this study. The pooled sensitivity, specificity, PLR, and NLR for EBUS were 0.79, 0.97, 27.29, and 0.25, respectively. EUS showed staging performance similar to EBUS. The staging performance was significantly improved when combining EBUS + EUS.
Collapse
Affiliation(s)
- Xiaozhen Liu
- Department of Ultrasonography, Zhongshan People's Hospital (ZSPH), Zhongshan, China
| | - Kun Yang
- Department of Ultrasonography, Zhongshan People's Hospital (ZSPH), Zhongshan, China
| | - Weihong Guo
- Department of Respiratory Medicine, Zhongshan People's Hospital (ZSPH), Zhongshan, China
| | - Muqi Ye
- Department of Ultrasonography, Zhongshan People's Hospital (ZSPH), Zhongshan, China
| | - Shaozhong Liu
- Department of Ultrasonography, Zhongshan People's Hospital (ZSPH), Zhongshan, China
| |
Collapse
|
17
|
Chang C, Ruan M, Lei B, Yu H, Zhao W, Ge Y, Duan S, Teng W, Wu Q, Qian X, Wang L, Yan H, Liu C, Liu L, Feng J, Xie W. Development of a PET/CT molecular radiomics-clinical model to predict thoracic lymph node metastasis of invasive lung adenocarcinoma ≤ 3 cm in diameter. EJNMMI Res 2022; 12:23. [PMID: 35445899 PMCID: PMC9023644 DOI: 10.1186/s13550-022-00895-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Accepted: 04/05/2022] [Indexed: 12/25/2022] Open
Abstract
Background To investigate the value of 18F-FDG PET/CT molecular radiomics combined with a clinical model in predicting thoracic lymph node metastasis (LNM) in invasive lung adenocarcinoma (≤ 3 cm). Methods A total of 528 lung adenocarcinoma patients were enrolled in this retrospective study. Five models were developed for the prediction of thoracic LNM, including PET radiomics, CT radiomics, PET/CT radiomics, clinical and integrated PET/CT radiomics-clinical models. Ten PET/CT radiomics features and two clinical characteristics were selected for the construction of the integrated PET/CT radiomics-clinical model. The predictive performance of all models was examined by receiver operating characteristic (ROC) curve analysis, and clinical utility was validated by nomogram analysis and decision curve analysis (DCA). Results According to ROC curve analysis, the integrated PET/CT molecular radiomics-clinical model outperformed the clinical model and the three other radiomics models, and the area under the curve (AUC) values of the integrated model were 0.95 (95% CI: 0.93–0.97) in the training group and 0.94 (95% CI: 0.89–0.97) in the test group. The nomogram analysis and DCA confirmed the clinical application value of this integrated model in predicting thoracic LNM. Conclusions The integrated PET/CT molecular radiomics-clinical model proposed in this study can ensure a higher level of accuracy in predicting the thoracic LNM of clinical invasive lung adenocarcinoma (≤ 3 cm) compared with the radiomics model or clinical model alone. Supplementary Information The online version contains supplementary material available at 10.1186/s13550-022-00895-x.
Collapse
Affiliation(s)
- Cheng Chang
- Department of Nuclear Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, 200030, China.,Clinical and Translational Center in Shanghai Chest Hospital, Shanghai Key Laboratory for Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Maomei Ruan
- Department of Nuclear Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, 200030, China.,Clinical and Translational Center in Shanghai Chest Hospital, Shanghai Key Laboratory for Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Bei Lei
- Department of Nuclear Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, 200030, China.,Clinical and Translational Center in Shanghai Chest Hospital, Shanghai Key Laboratory for Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Hong Yu
- Department of Radiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Wenlu Zhao
- Department of Radiology, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Yaqiong Ge
- GE Healthcare China, Pudong New Town, Shanghai, China
| | - Shaofeng Duan
- GE Healthcare China, Pudong New Town, Shanghai, China
| | - Wenjing Teng
- Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Qianfu Wu
- Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xiaohua Qian
- Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Lihua Wang
- Department of Nuclear Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, 200030, China
| | - Hui Yan
- Department of Nuclear Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, 200030, China
| | - Ciyi Liu
- Department of Nuclear Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, 200030, China
| | - Liu Liu
- Department of Nuclear Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, 200030, China.,Clinical and Translational Center in Shanghai Chest Hospital, Shanghai Key Laboratory for Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Jian Feng
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Wenhui Xie
- Department of Nuclear Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, 200030, China. .,Clinical and Translational Center in Shanghai Chest Hospital, Shanghai Key Laboratory for Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, China.
| |
Collapse
|
18
|
Issa T, Sharma R, Aboaid S, Polineni RD, Aboeed A. Successful Diagnosis of Epithelial Thymic Cancer Case Using EBUS-TBNA. J Investig Med High Impact Case Rep 2022; 10:23247096221090791. [PMID: 35426320 PMCID: PMC9016612 DOI: 10.1177/23247096221090791] [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] [Indexed: 11/30/2022] Open
Abstract
Mediastinal masses are relatively uncommon. Surgical approach is often needed to diagnose
mediastinal masses. Using endobronchial ultrasound transbronchial needle aspiration
(EBUS-TBNA) toward approaching a mediastinal mass has yet to be established. Here, we
present a case of successful diagnosis of thymic cancer with the use of EBUS-TBNA.
Collapse
Affiliation(s)
- Tammy Issa
- Kern Medical, Bakersfield, CA, USA.,David Geffen School of Medicine UCLA, Los Angeles, CA, USA
| | | | - Shatha Aboaid
- Kern Medical, Bakersfield, CA, USA.,David Geffen School of Medicine UCLA, Los Angeles, CA, USA
| | - Rahul D Polineni
- Kern Medical, Bakersfield, CA, USA.,David Geffen School of Medicine UCLA, Los Angeles, CA, USA
| | - Ayham Aboeed
- Kern Medical, Bakersfield, CA, USA.,David Geffen School of Medicine UCLA, Los Angeles, CA, USA
| |
Collapse
|
19
|
Hwangbo B, Park EY, Yang B, Lee GK, Kim TS, Kim HY, Kim MS, Lee JM. Long-Term Survival According to N Stage Diagnosed by Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration in Non-Small Cell Lung Cancer. Chest 2021; 161:1382-1392. [PMID: 34896095 DOI: 10.1016/j.chest.2021.11.032] [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] [Received: 02/22/2021] [Revised: 11/22/2021] [Accepted: 11/29/2021] [Indexed: 10/19/2022] Open
Abstract
BACKGROUND Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is the main procedure for mediastinal staging. However, long-term survival analyses according to cN stage diagnosed by EBUS-TBNA (abbreviated to eN stage) have not been reported. The value of EBUS-TBNA has not been assessed through an analysis of survival in false-negative EBUS-TBNA cases. RESEARCH QUESTIONS What is the prognostic impact of eN stage in non-small cell lung cancer (NSCLC)? What is the survival rate in false-negative EBUS-TBNA cases? STUDY DESIGN AND METHODS We retrospectively (January 2006-December 2011) reviewed the medical records of NSCLC patients who underwent EBUS-TBNA (± transesophageal approach) for initial staging (n=1,089). Mediastinoscopy was not performed for EBUS-TBNA negative cases. We performed 5-year survival analyses according to eN stage and treatment modality. Survival in false-negative EBUS cases was compared with that in pN0-1 patients, including 941 non-EBUS cases, during the same period. RESULTS Among 1,089 EBUS patients (eN0-1=681, eN2=314, eN3=94), we observed significant differences in survival between the eN stages [eN0-1 vs eN2; p <0.0001, eN2 vs eN3; p=0.0118, estimated 5-year overall survival (5YOS) rate: eN0-1=57.4%, eN2=23.2%, eN3=12.8%]. Surgery cases had better survival than non-surgery cases among eN0-1 and eN2 patients (eN0-1/surgery vs. eN0-1/no surgery; p<0.0001, eN2/surgery vs. eN2/no surgery; p<0.0001). Among eN0-1 patients, there were 55 false-negative cases (eN0-1/pN2-3, pN2=54, pN3=1). The 5YOS rates of pN0, pN1, and eN0-1/pN2-3 patients were 76.4%, 56.0% and 56.4%, respectively. eN0-1/pN2-3 patients had worse survival than pN0 patients (p=0.0061), whereas there was no significant difference compared with pN1 patients (p=0.9191). INTERPRETATIONS Long-term survival significantly differed according to eN stage in NSCLC, highlighting the importance of EBUS-TBNA in NSCLC staging. False-negative EBUS-TBNA cases had favorable survival which was similar to that of pN1 patients, which may provide a rationale for performing surgery after negative EBUS-TBNA results.
Collapse
Affiliation(s)
- Bin Hwangbo
- Division of Pulmonology, Center for Lung Cancer, National Cancer Center, Goyang, Korea.
| | - Eun Young Park
- Biostatistics Collaboration Team, Research Core Center, National Cancer Center, Goyang, Korea
| | - Bumhee Yang
- Division of Pulmonology, Center for Lung Cancer, National Cancer Center, Goyang, Korea; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Chungbuk National University Hospital, Cheongju, Korea
| | - Geon Kook Lee
- Department of Pathology, National Cancer Center, Goyang, Korea
| | - Tae Sung Kim
- Department of Nuclear Medicine, National Cancer Center, Goyang, Korea
| | - Hyae Young Kim
- Department of Radiology, Center for Lung Cancer, National Cancer Center, Goyang, Korea
| | - Moon Soo Kim
- Department of Thoracic Surgery, Center for Lung Cancer, National Cancer Center, Goyang, Korea
| | - Jong Mog Lee
- Department of Thoracic Surgery, Center for Lung Cancer, National Cancer Center, Goyang, Korea
| |
Collapse
|
20
|
Zhong Y, She Y, Deng J, Chen S, Wang T, Yang M, Ma M, Song Y, Qi H, Wang Y, Shi J, Wu C, Xie D, Chen C. Deep Learning for Prediction of N2 Metastasis and Survival for Clinical Stage I Non-Small Cell Lung Cancer. Radiology 2021; 302:200-211. [PMID: 34698568 DOI: 10.1148/radiol.2021210902] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background Preoperative mediastinal staging is crucial for the optimal management of clinical stage I non-small cell lung cancer (NSCLC). Purpose To develop a deep learning signature for N2 metastasis prediction and prognosis stratification in clinical stage I NSCLC. Materials and Methods In this retrospective study conducted from May 2020 to October 2020 in a population with clinical stage I NSCLC, an internal cohort was adopted to establish a deep learning signature. Subsequently, the predictive efficacy and biologic basis of the proposed signature were investigated in an external cohort. A multicenter diagnostic trial (registration number: ChiCTR2000041310) was also performed to evaluate its clinical utility. Finally, on the basis of the N2 risk scores, the instructive significance of the signature in prognostic stratification was explored. The diagnostic efficiency was quantified with the area under the receiver operating characteristic curve (AUC), and the survival outcomes were assessed using the Cox proportional hazards model. Results A total of 3096 patients (mean age ± standard deviation, 60 years ± 9; 1703 men) were included in the study. The proposed signature achieved AUCs of 0.82, 0.81, and 0.81 in an internal test set (n = 266), external test cohort (n = 133), and prospective test cohort (n = 300), respectively. In addition, higher deep learning scores were associated with a lower frequency of EGFR mutation (P = .04), higher rate of ALK fusion (P = .02), and more activation of pathways of tumor proliferation (P < .001). Furthermore, in the internal test set and external cohort, higher deep learning scores were predictive of poorer overall survival (adjusted hazard ratio, 2.9; 95% CI: 1.2, 6.9; P = .02) and recurrence-free survival (adjusted hazard ratio, 3.2; 95% CI: 1.4, 7.4; P = .007). Conclusion The deep learning signature could accurately predict N2 disease and stratify prognosis in clinical stage I non-small cell lung cancer. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Park and Lee in this issue.
Collapse
Affiliation(s)
- Yifan Zhong
- From the Departments of Thoracic Surgery (Y.Z., Y. She, J.D., D.X., C.C.), Radiology (T.W., J.S.), and Pathology (C.W.), Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Rd, Shanghai 200433, China; Department of Computer Science and Technology, College of Electronics and Information Engineering, Tongji University, Shanghai, China (S.C., H.Q., Y.W.); Department of Thoracic Surgery, Ningbo No. 2 Hospital, Chinese Academy of Sciences, Zhejiang, China (M.Y.); Department of Thoracic Surgery, The First Hospital of Lanzhou University, Gansu, China (M.M., C.C.); The International Science and Technology Cooperation Base for Development and Application of Key Technologies in Thoracic Surgery, Gansu Province, China (M.M., C.C.); and Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical College, Zunyi Medical College, Guizhou, China (Y. Song)
| | - Yunlang She
- From the Departments of Thoracic Surgery (Y.Z., Y. She, J.D., D.X., C.C.), Radiology (T.W., J.S.), and Pathology (C.W.), Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Rd, Shanghai 200433, China; Department of Computer Science and Technology, College of Electronics and Information Engineering, Tongji University, Shanghai, China (S.C., H.Q., Y.W.); Department of Thoracic Surgery, Ningbo No. 2 Hospital, Chinese Academy of Sciences, Zhejiang, China (M.Y.); Department of Thoracic Surgery, The First Hospital of Lanzhou University, Gansu, China (M.M., C.C.); The International Science and Technology Cooperation Base for Development and Application of Key Technologies in Thoracic Surgery, Gansu Province, China (M.M., C.C.); and Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical College, Zunyi Medical College, Guizhou, China (Y. Song)
| | - Jiajun Deng
- From the Departments of Thoracic Surgery (Y.Z., Y. She, J.D., D.X., C.C.), Radiology (T.W., J.S.), and Pathology (C.W.), Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Rd, Shanghai 200433, China; Department of Computer Science and Technology, College of Electronics and Information Engineering, Tongji University, Shanghai, China (S.C., H.Q., Y.W.); Department of Thoracic Surgery, Ningbo No. 2 Hospital, Chinese Academy of Sciences, Zhejiang, China (M.Y.); Department of Thoracic Surgery, The First Hospital of Lanzhou University, Gansu, China (M.M., C.C.); The International Science and Technology Cooperation Base for Development and Application of Key Technologies in Thoracic Surgery, Gansu Province, China (M.M., C.C.); and Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical College, Zunyi Medical College, Guizhou, China (Y. Song)
| | - Shouyu Chen
- From the Departments of Thoracic Surgery (Y.Z., Y. She, J.D., D.X., C.C.), Radiology (T.W., J.S.), and Pathology (C.W.), Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Rd, Shanghai 200433, China; Department of Computer Science and Technology, College of Electronics and Information Engineering, Tongji University, Shanghai, China (S.C., H.Q., Y.W.); Department of Thoracic Surgery, Ningbo No. 2 Hospital, Chinese Academy of Sciences, Zhejiang, China (M.Y.); Department of Thoracic Surgery, The First Hospital of Lanzhou University, Gansu, China (M.M., C.C.); The International Science and Technology Cooperation Base for Development and Application of Key Technologies in Thoracic Surgery, Gansu Province, China (M.M., C.C.); and Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical College, Zunyi Medical College, Guizhou, China (Y. Song)
| | - Tingting Wang
- From the Departments of Thoracic Surgery (Y.Z., Y. She, J.D., D.X., C.C.), Radiology (T.W., J.S.), and Pathology (C.W.), Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Rd, Shanghai 200433, China; Department of Computer Science and Technology, College of Electronics and Information Engineering, Tongji University, Shanghai, China (S.C., H.Q., Y.W.); Department of Thoracic Surgery, Ningbo No. 2 Hospital, Chinese Academy of Sciences, Zhejiang, China (M.Y.); Department of Thoracic Surgery, The First Hospital of Lanzhou University, Gansu, China (M.M., C.C.); The International Science and Technology Cooperation Base for Development and Application of Key Technologies in Thoracic Surgery, Gansu Province, China (M.M., C.C.); and Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical College, Zunyi Medical College, Guizhou, China (Y. Song)
| | - Minglei Yang
- From the Departments of Thoracic Surgery (Y.Z., Y. She, J.D., D.X., C.C.), Radiology (T.W., J.S.), and Pathology (C.W.), Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Rd, Shanghai 200433, China; Department of Computer Science and Technology, College of Electronics and Information Engineering, Tongji University, Shanghai, China (S.C., H.Q., Y.W.); Department of Thoracic Surgery, Ningbo No. 2 Hospital, Chinese Academy of Sciences, Zhejiang, China (M.Y.); Department of Thoracic Surgery, The First Hospital of Lanzhou University, Gansu, China (M.M., C.C.); The International Science and Technology Cooperation Base for Development and Application of Key Technologies in Thoracic Surgery, Gansu Province, China (M.M., C.C.); and Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical College, Zunyi Medical College, Guizhou, China (Y. Song)
| | - Minjie Ma
- From the Departments of Thoracic Surgery (Y.Z., Y. She, J.D., D.X., C.C.), Radiology (T.W., J.S.), and Pathology (C.W.), Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Rd, Shanghai 200433, China; Department of Computer Science and Technology, College of Electronics and Information Engineering, Tongji University, Shanghai, China (S.C., H.Q., Y.W.); Department of Thoracic Surgery, Ningbo No. 2 Hospital, Chinese Academy of Sciences, Zhejiang, China (M.Y.); Department of Thoracic Surgery, The First Hospital of Lanzhou University, Gansu, China (M.M., C.C.); The International Science and Technology Cooperation Base for Development and Application of Key Technologies in Thoracic Surgery, Gansu Province, China (M.M., C.C.); and Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical College, Zunyi Medical College, Guizhou, China (Y. Song)
| | - Yongxiang Song
- From the Departments of Thoracic Surgery (Y.Z., Y. She, J.D., D.X., C.C.), Radiology (T.W., J.S.), and Pathology (C.W.), Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Rd, Shanghai 200433, China; Department of Computer Science and Technology, College of Electronics and Information Engineering, Tongji University, Shanghai, China (S.C., H.Q., Y.W.); Department of Thoracic Surgery, Ningbo No. 2 Hospital, Chinese Academy of Sciences, Zhejiang, China (M.Y.); Department of Thoracic Surgery, The First Hospital of Lanzhou University, Gansu, China (M.M., C.C.); The International Science and Technology Cooperation Base for Development and Application of Key Technologies in Thoracic Surgery, Gansu Province, China (M.M., C.C.); and Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical College, Zunyi Medical College, Guizhou, China (Y. Song)
| | - Haoyu Qi
- From the Departments of Thoracic Surgery (Y.Z., Y. She, J.D., D.X., C.C.), Radiology (T.W., J.S.), and Pathology (C.W.), Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Rd, Shanghai 200433, China; Department of Computer Science and Technology, College of Electronics and Information Engineering, Tongji University, Shanghai, China (S.C., H.Q., Y.W.); Department of Thoracic Surgery, Ningbo No. 2 Hospital, Chinese Academy of Sciences, Zhejiang, China (M.Y.); Department of Thoracic Surgery, The First Hospital of Lanzhou University, Gansu, China (M.M., C.C.); The International Science and Technology Cooperation Base for Development and Application of Key Technologies in Thoracic Surgery, Gansu Province, China (M.M., C.C.); and Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical College, Zunyi Medical College, Guizhou, China (Y. Song)
| | - Yin Wang
- From the Departments of Thoracic Surgery (Y.Z., Y. She, J.D., D.X., C.C.), Radiology (T.W., J.S.), and Pathology (C.W.), Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Rd, Shanghai 200433, China; Department of Computer Science and Technology, College of Electronics and Information Engineering, Tongji University, Shanghai, China (S.C., H.Q., Y.W.); Department of Thoracic Surgery, Ningbo No. 2 Hospital, Chinese Academy of Sciences, Zhejiang, China (M.Y.); Department of Thoracic Surgery, The First Hospital of Lanzhou University, Gansu, China (M.M., C.C.); The International Science and Technology Cooperation Base for Development and Application of Key Technologies in Thoracic Surgery, Gansu Province, China (M.M., C.C.); and Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical College, Zunyi Medical College, Guizhou, China (Y. Song)
| | - Jingyun Shi
- From the Departments of Thoracic Surgery (Y.Z., Y. She, J.D., D.X., C.C.), Radiology (T.W., J.S.), and Pathology (C.W.), Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Rd, Shanghai 200433, China; Department of Computer Science and Technology, College of Electronics and Information Engineering, Tongji University, Shanghai, China (S.C., H.Q., Y.W.); Department of Thoracic Surgery, Ningbo No. 2 Hospital, Chinese Academy of Sciences, Zhejiang, China (M.Y.); Department of Thoracic Surgery, The First Hospital of Lanzhou University, Gansu, China (M.M., C.C.); The International Science and Technology Cooperation Base for Development and Application of Key Technologies in Thoracic Surgery, Gansu Province, China (M.M., C.C.); and Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical College, Zunyi Medical College, Guizhou, China (Y. Song)
| | - Chunyan Wu
- From the Departments of Thoracic Surgery (Y.Z., Y. She, J.D., D.X., C.C.), Radiology (T.W., J.S.), and Pathology (C.W.), Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Rd, Shanghai 200433, China; Department of Computer Science and Technology, College of Electronics and Information Engineering, Tongji University, Shanghai, China (S.C., H.Q., Y.W.); Department of Thoracic Surgery, Ningbo No. 2 Hospital, Chinese Academy of Sciences, Zhejiang, China (M.Y.); Department of Thoracic Surgery, The First Hospital of Lanzhou University, Gansu, China (M.M., C.C.); The International Science and Technology Cooperation Base for Development and Application of Key Technologies in Thoracic Surgery, Gansu Province, China (M.M., C.C.); and Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical College, Zunyi Medical College, Guizhou, China (Y. Song)
| | - Dong Xie
- From the Departments of Thoracic Surgery (Y.Z., Y. She, J.D., D.X., C.C.), Radiology (T.W., J.S.), and Pathology (C.W.), Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Rd, Shanghai 200433, China; Department of Computer Science and Technology, College of Electronics and Information Engineering, Tongji University, Shanghai, China (S.C., H.Q., Y.W.); Department of Thoracic Surgery, Ningbo No. 2 Hospital, Chinese Academy of Sciences, Zhejiang, China (M.Y.); Department of Thoracic Surgery, The First Hospital of Lanzhou University, Gansu, China (M.M., C.C.); The International Science and Technology Cooperation Base for Development and Application of Key Technologies in Thoracic Surgery, Gansu Province, China (M.M., C.C.); and Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical College, Zunyi Medical College, Guizhou, China (Y. Song)
| | - Chang Chen
- From the Departments of Thoracic Surgery (Y.Z., Y. She, J.D., D.X., C.C.), Radiology (T.W., J.S.), and Pathology (C.W.), Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Rd, Shanghai 200433, China; Department of Computer Science and Technology, College of Electronics and Information Engineering, Tongji University, Shanghai, China (S.C., H.Q., Y.W.); Department of Thoracic Surgery, Ningbo No. 2 Hospital, Chinese Academy of Sciences, Zhejiang, China (M.Y.); Department of Thoracic Surgery, The First Hospital of Lanzhou University, Gansu, China (M.M., C.C.); The International Science and Technology Cooperation Base for Development and Application of Key Technologies in Thoracic Surgery, Gansu Province, China (M.M., C.C.); and Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical College, Zunyi Medical College, Guizhou, China (Y. Song)
| | -
- From the Departments of Thoracic Surgery (Y.Z., Y. She, J.D., D.X., C.C.), Radiology (T.W., J.S.), and Pathology (C.W.), Shanghai Pulmonary Hospital, Tongji University School of Medicine, 507 Zhengmin Rd, Shanghai 200433, China; Department of Computer Science and Technology, College of Electronics and Information Engineering, Tongji University, Shanghai, China (S.C., H.Q., Y.W.); Department of Thoracic Surgery, Ningbo No. 2 Hospital, Chinese Academy of Sciences, Zhejiang, China (M.Y.); Department of Thoracic Surgery, The First Hospital of Lanzhou University, Gansu, China (M.M., C.C.); The International Science and Technology Cooperation Base for Development and Application of Key Technologies in Thoracic Surgery, Gansu Province, China (M.M., C.C.); and Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical College, Zunyi Medical College, Guizhou, China (Y. Song)
| |
Collapse
|
21
|
Bordas-Martinez J, Vercher-Conejero JL, Rodriguez-González G, Cubero N, Lopez-Lisbona RM, Diez-Ferrer M, Tazi R, Rosell A. N3 hilar sampling decision in the staging of mediastinal lung cancer. ERJ Open Res 2021; 7:00116-2021. [PMID: 34435031 PMCID: PMC8381157 DOI: 10.1183/23120541.00116-2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 06/21/2021] [Indexed: 12/02/2022] Open
Abstract
The guidelines [1–4] on invasive staging for lung cancer recommend endoscopic ultrasound-guided fine-needle aspiration over surgical staging in patients with a high suspicion of lymph node involvement, either by morphological criteria (>1 cm in short axis) on computed tomography (CT) or metabolic criteria on positron emission tomography (PET) uptake (standardised uptake value maximum (SUVmax) >2.5). This recommendation is also valid for a CT and PET negative mediastinum if there is a central tumour, N1 disease, a low uptake tumour or a T2 tumour (>3 cm). There is insufficient evidence for the sampling of morphometabolically normal N3 hilar lymph nodeshttps://bit.ly/3gWcar7
Collapse
Affiliation(s)
- Jaume Bordas-Martinez
- Pulmonology Dept, Bellvitge University Hospital, UB, IDIBELL, CIBERES, Barcelona, Spain
| | | | | | - Noelia Cubero
- Pulmonology Dept, Bellvitge University Hospital, UB, IDIBELL, CIBERES, Barcelona, Spain
| | - Rosa M Lopez-Lisbona
- Pulmonology Dept, Bellvitge University Hospital, UB, IDIBELL, CIBERES, Barcelona, Spain
| | - Marta Diez-Ferrer
- Pulmonology Dept, Bellvitge University Hospital, UB, IDIBELL, CIBERES, Barcelona, Spain
| | - Rachid Tazi
- Thorax Institute, Germans Trias i Pujol University Hospital, IGTP, UAB, CIBERES, Barcelona, Spain
| | - Antoni Rosell
- Thorax Institute, Germans Trias i Pujol University Hospital, IGTP, UAB, CIBERES, Barcelona, Spain
| |
Collapse
|
22
|
Mountzios G, Gkiozos I, Stratakos G, Pissakas G, Charpidou A, Toukfetzian L, Vamvakaris I, Syrigos K. Lung Cancer in Greece. J Thorac Oncol 2021; 16:1058-1066. [PMID: 34154790 DOI: 10.1016/j.jtho.2020.11.024] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Revised: 11/21/2020] [Accepted: 11/21/2020] [Indexed: 12/18/2022]
Affiliation(s)
- Giannis Mountzios
- Second Oncology Department and Clinical Trials Unit, Henry Dunant Hospital Center, Athens, Greece.
| | - Ioannis Gkiozos
- Third Department of Internal Medicine, Sotiria Hospital, National, and Kapodistrian University of Athens, Athens, Greece
| | - Grigorios Stratakos
- First Department of Pneumonology and Respiratory Medicine, Sotiria Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Georgios Pissakas
- Radiotherapy Department, Aretaieion University Hospital, Athens, Greece
| | - Andriani Charpidou
- Third Department of Internal Medicine, Sotiria Hospital, National, and Kapodistrian University of Athens, Athens, Greece
| | | | - Ioannis Vamvakaris
- Pathology Department, Sotiria Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Konstantinos Syrigos
- Third Department of Internal Medicine, Sotiria Hospital, National, and Kapodistrian University of Athens, Athens, Greece
| |
Collapse
|
23
|
Göker E, Altwairgi A, Al-Omair A, Tfayli A, Black E, Elsayed H, Selek U, Koegelenberg C. Multi-disciplinary approach for the management of non-metastatic non-small cell lung cancer in the Middle East and Africa: Expert panel recommendations. Lung Cancer 2021; 158:60-73. [PMID: 34119934 DOI: 10.1016/j.lungcan.2021.05.025] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 05/20/2021] [Accepted: 05/23/2021] [Indexed: 12/25/2022]
Abstract
The Middle East and Africa (MEA) region, a large geographical area, lies at the confluence of Asian, Caucasian and African races and comprises of a population with several distinct ethnicities. The course of management of non-small cell lung cancer (NSCLC) differs as per patients' performance status as well as stage of disease, requiring personalized therapy decisions. Although management of NSCLC has received a significant impetus in the form of molecularly targeted therapies and immune therapies in last few years, surgery remains gold standard for patients with early-stage disease. In case of unresectable disease, radiotherapy and chemotherapy are the primary management modalities. With newer therapies being approved for treatment of early stage disease, use of multi-disciplinary team (MDT) for comprehensive management of NSCLC is of prime importance. A group of experts with interest in thoracic oncology, deliberated and arrived at a consensus statement for the community oncologists treating patients with NSCLC in the MEA region. The deliberation was based on the review of the published evidence including literature and global and local guidelines, subject expertise of the participating panellists and experience in real-life management of patients with NSCLC. We present the proposed regional adaptations of international guidelines and recommends the MDT approach for management of NSCLC in MEA.
Collapse
Affiliation(s)
- Erdem Göker
- Medical Oncology Dept., Ege University, Izmir, Turkey.
| | | | - Ameen Al-Omair
- Radiation Oncology, Oncology Center, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.
| | - Arafat Tfayli
- Department of Internal Medicine, American University of Beirut, Beirut, Lebanon.
| | - Edward Black
- Department of Thoracic Surgery, Sheikh Shakhbout Medical City, P.O. Box 11001, Abu Dhabi, United Arab Emirates.
| | - Hany Elsayed
- Department of Thoracic Surgery, Ain Shams University, Cairo, Egypt.
| | - Ugur Selek
- Department of Radiation Oncology, Koc University School of Medicine, Koc University, Istanbul, Turkey.
| | - Coenraad Koegelenberg
- Division of Pulmonology, Department of Medicine, Faculty of Medicine and Health Sciences, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa.
| |
Collapse
|
24
|
Diagnosis method of ultrasonic elasticity image of peripheral lung cancer based on genetic algorithm. Neural Comput Appl 2020. [DOI: 10.1007/s00521-020-04957-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
|
25
|
Chrysikos S, Gkiozos I, Dimakou K, Zervas E, Karampitsakos T, Anyfanti M, Tzouvelekis A, Samitas K, Gaga M, Koulouris N, Vasileiadis I, Syrigos K. Clinical utility of thoracic endosonography (EBUS/EUS-b) in mediastinal staging of patients with non-small cell lung cancer: comparison with integrated PET/CT-a real-life prospective study in Greece. J Thorac Dis 2020; 12:5657-5666. [PMID: 33209398 PMCID: PMC7656385 DOI: 10.21037/jtd-20-1735] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background Accurate mediastinal staging in patients with non-small cell lung cancer (NSCLC) is crucial for the determination of optimal treatment management. Methods This was a real-life prospective study enrolling 140 patients between December 2016 and August 2018. We aimed to determine the clinical utility of EBUS/EUS-b in mediastinal staging of patients with NSCLC in comparison with integrated PET/CT. Furthermore, SUVmax cut-off value with the highest specificity/accuracy was evaluated. Subgroup analysis according to histological type was performed. Results One hundred and thirty patients were eligible for analysis (mean age ± SD: 67.6±7.6, males 97). Three hundred different lymph node stations were sampled (272 through EBUS-TBNA and 28 through EUS-b FNA). Mean SUVmax of all malignant lymph nodes was 7.46 (SD =5.54). Sensitivity, specificity, PPV and NPV of EBUS/EUS-b for the identification of mediastinal malignant lymph nodes was 93.8%, 100%, 100%, and 93.4%, respectively. Accordingly, PET/CT yielded 92.2% sensitivity, 43.9% specificity, 64.8% PPV and 83.3% NPV. For adenocarcinoma (n=76) NPV were 86.2% with EBUS/EUS-b and 75% with PET/CT. NPV for squamous cell (n=46) was 100% with EBUS/EUS-b and 90.9% with PET/CT. EBUS/EUS-b staging yielded excellent agreement with final staging (97.5%, Tau 0.94, P<0.001). ROC curve analysis identified the value 4.95 as the optimal SUVmax cut-off value with the best specificity (87.4%) and accuracy (79%) (AUC 0.69; 95% CI: 0.73-0.84, P<0.001). Conclusions Thoracic endosonography is an excellent, minimally invasive tool yielding high sensitivity and diagnostic accuracy in mediastinal staging of patients with NSCLC. Implementation of both EBUS/EUS-b and PET/CT is necessary before any surgical intervention.
Collapse
Affiliation(s)
- Serafeim Chrysikos
- 5 Respiratory Medicine Department, "Sotiria" Chest Diseases Hospital, Athens, Greece
| | - Ioannis Gkiozos
- 3 Internal Medicine Department, "Sotiria" Chest Diseases Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Katerina Dimakou
- 5 Respiratory Medicine Department, "Sotiria" Chest Diseases Hospital, Athens, Greece
| | - Eleftherios Zervas
- 7 Respiratory Medicine Department, Athens "Sotiria" Chest Diseases Hospital, Athens, Greece
| | | | - Maria Anyfanti
- 7 Respiratory Medicine Department, Athens "Sotiria" Chest Diseases Hospital, Athens, Greece
| | - Argyrios Tzouvelekis
- 1 Academic Respiratory Medicine Department, "Sotiria" Chest diseases hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Konstantinos Samitas
- 7 Respiratory Medicine Department, Athens "Sotiria" Chest Diseases Hospital, Athens, Greece
| | - Mina Gaga
- 7 Respiratory Medicine Department, Athens "Sotiria" Chest Diseases Hospital, Athens, Greece
| | - Nikolaos Koulouris
- 1 Academic Respiratory Medicine Department, "Sotiria" Chest diseases hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioannis Vasileiadis
- Intensive Care Unit, First Department of Respiratory Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Konstantinos Syrigos
- 3 Internal Medicine Department, "Sotiria" Chest Diseases Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| |
Collapse
|
26
|
Chandrika S, Yarmus L. Recent developments in advanced diagnostic bronchoscopy. Eur Respir Rev 2020; 29:29/157/190184. [PMID: 32878972 DOI: 10.1183/16000617.0184-2019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 03/24/2020] [Indexed: 12/25/2022] Open
Abstract
The field of bronchoscopy is advancing rapidly. Minimally invasive diagnostic approaches are replacing more aggressive surgical ones for the diagnosis and staging of lung cancer. Evolving diagnostic modalities allow early detection and serve as an adjunct to early treatment, ideally influencing patient outcomes. In this review, we will elaborate on recent bronchoscopic developments as well as some promising investigational tools and approaches in development. We aim to offer a concise overview of the significant advances in the field of advanced bronchoscopy and to put them into clinical context. We will also address potential complications and current diagnostic challenges associated with sampling central and peripheral lung lesions.
Collapse
Affiliation(s)
- Sharad Chandrika
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Lonny Yarmus
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, USA
| |
Collapse
|
27
|
Pattison A, Jeagal L, Yasufuku K, Pierre A, Donahoe L, Yeung J, Darling G, Cypel M, De Perrot M, Waddell T, Keshavjee S, Czarnecka-Kujawa K. The impact of concordance with a lung cancer diagnosis pathway guideline on treatment access in patients with stage IV lung cancer. J Thorac Dis 2020; 12:4327-4337. [PMID: 32944345 PMCID: PMC7475595 DOI: 10.21037/jtd-20-157] [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] [Indexed: 11/06/2022]
Abstract
Background Timely access to treatment of lung cancer is dependent on efficient and appropriate patient assessment and early referral for diagnostic workup. This study assesses the impact of Cancer Care Ontario (CCO) Lung Cancer Diagnostic Pathway Guideline (LCDPG) concordance on access to treatment of stage IV lung cancer patients referred to the Diagnostic Assessment Program (DAP) at a Canadian tertiary cancer centre. Methods This retrospective cohort study includes patients diagnosed with clinical stage IV lung cancer referred to the DAP at a Canadian tertiary cancer centre between November 1, 2015 and May 31, 2017. Referral concordance was determined based on CCO LCDPG. The primary outcome; time to treatment from initial healthcare presentation; was compared between the concordant and discordant referrals. Results Two hundred patients were referred for clinical stage IV lung cancer during the study period. Of these referrals, 151 (75.5%) were assessed and referred in concordance with LCDPG. Guideline concordant referrals were associated with reduced time to treatment from first healthcare presentation compared with guideline discordant referrals (55.3 vs. 108.8 days, P<0.001). Time to diagnostic procedure (32.2 vs. 86.7 days, P<0.001) and decision to treat (38.5 vs. 93.8 days, P<0.001) were also reduced with guideline concordance. The most common reason for discordant assessment and referral was delayed or inadequate investigation of symptoms in a high risk patient (32.7% of discordant referrals). Conclusions Guideline concordant assessment and referral of stage IV lung cancer patients results in reduced time to diagnosis and treatment. Future research and education should focus on improving factors that delay DAP referral.
Collapse
Affiliation(s)
- Andrew Pattison
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, University of Toronto, Ontario, Canada
| | - Luke Jeagal
- Division of Respirology, Toronto General Hospital, University Health Network, University of Toronto, Ontario, Canada
| | - Kazuhiro Yasufuku
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, University of Toronto, Ontario, Canada
| | - Andrew Pierre
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, University of Toronto, Ontario, Canada
| | - Laura Donahoe
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, University of Toronto, Ontario, Canada
| | - Jonathan Yeung
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, University of Toronto, Ontario, Canada
| | - Gail Darling
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, University of Toronto, Ontario, Canada
| | - Marcelo Cypel
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, University of Toronto, Ontario, Canada
| | - Marc De Perrot
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, University of Toronto, Ontario, Canada
| | - Tom Waddell
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, University of Toronto, Ontario, Canada
| | - Shaf Keshavjee
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, University of Toronto, Ontario, Canada
| | - Kasia Czarnecka-Kujawa
- Division of Thoracic Surgery, Toronto General Hospital, University Health Network, University of Toronto, Ontario, Canada.,Division of Respirology, Toronto General Hospital, University Health Network, University of Toronto, Ontario, Canada
| |
Collapse
|
28
|
Katsis JM, Rickman OB, Maldonado F, Lentz RJ. Bronchoscopic biopsy of peripheral pulmonary lesions in 2020: a review of existing technologies. J Thorac Dis 2020; 12:3253-3262. [PMID: 32642248 PMCID: PMC7330747 DOI: 10.21037/jtd.2020.02.36] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
There are over 200,000 new cases of lung cancer diagnosed annually in the United States resulting in nearly 150,000 deaths, making lung cancer the most lethal of all forms of cancer. Only 1 in 6 lung cancers are diagnosed at an early stage an over half are diagnosed with distant metastasis. Despite advances in screening and treatment, the 5-year survival rate for all lung cancers remains low, around 20%. The advent of effective lung cancer screening with low-dose computed tomography has started to shift diagnosis to earlier stages. Screening, along with the ever-increasing use of chest CT, have led to an exponential increase in the detection of indeterminate lung nodules. For many nodules, effective diagnosis relies on invasive tissue sample collection. Advances in bronchoscopic technology have allowed for safe and increasingly effective tissue diagnosis of these nodules; however, inconsistencies across studies evaluating diagnostic yield remain. This review will provide an overview of the advanced bronchoscopic technologies currently in wide use, the quality of data supporting their use, some of the perceived weaknesses and strengths of each technology, and introduce promising emerging diagnostic platforms poised to advance the field. Ultimately, quality comparative research is needed to accurately characterize the diagnostic test performance of currently available bronchoscopic platforms, improve the efficacy of bronchoscopy-generated diagnostic yields while maintaining, their strong safety profile.
Collapse
Affiliation(s)
- James M Katsis
- Division of Pulmonary & Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Otis B Rickman
- Division of Pulmonary & Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Fabien Maldonado
- Division of Pulmonary & Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Robert J Lentz
- Division of Pulmonary & Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Medicine, Nashville Veterans Affairs Medical Center, Nashville, TN, USA
| |
Collapse
|
29
|
Avasarala SK, Aravena C, Almeida FA. Convex probe endobronchial ultrasound: historical, contemporary, and cutting-edge applications. J Thorac Dis 2020; 12:1085-1099. [PMID: 32274177 PMCID: PMC7139045 DOI: 10.21037/jtd.2019.10.76] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The use of convex-probe endobronchial ultrasound (CP-EBUS) has revolutionized bronchoscopy. It has provided the option of a relatively safe, minimally invasive approach for the assessment of various intrathoracic diseases. In current practice, its most dramatic impact has been on the diagnosing and staging of lung cancer. It has served as an invaluable tool that has replaced mediastinoscopy in a variety of clinical scenarios. Many pulmonologists and thoracic surgeons consider CP-EBUS the most significant milestone in bronchoscopy after the development of the flexible bronchoscope itself. In this review, we summarize the historical aspects, current indications, technical approach, and future direction of CP-EBUS.
Collapse
Affiliation(s)
| | - Carlos Aravena
- Respiratory Institute, Cleveland Clinic, Cleveland, OH, USA
| | | |
Collapse
|
30
|
Passiglia F, Bertolaccini L, Del Re M, Facchinetti F, Ferrara R, Franchina T, Malapelle U, Menis J, Passaro A, Pilotto S, Ramella S, Rossi G, Trisolini R, Novello S. Diagnosis and treatment of early and locally advanced non-small-cell lung cancer: The 2019 AIOM (Italian Association of Medical Oncology) clinical practice guidelines. Crit Rev Oncol Hematol 2020; 148:102862. [PMID: 32062311 DOI: 10.1016/j.critrevonc.2019.102862] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 12/11/2019] [Accepted: 12/26/2019] [Indexed: 12/12/2022] Open
Abstract
The Italian Association of Medical Oncology (AIOM) has developed clinical practice guidelines for the diagnosis and treatment of patients with early and locally advanced non-small cell lung cancer. In the current paper a panel of AIOM experts in the field of thoracic malignancies discussed these topics, analyzing available scientific evidences, with the final aim of providing a summary of clinical recommendations, which may guide physicians in their current practice.
Collapse
Affiliation(s)
- F Passiglia
- Department of Oncology, University of Turin, San Luigi Hospital, Orbassano, TO, Italy
| | - L Bertolaccini
- Division of Thoracic Surgery, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - M Del Re
- Unit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University Hospital of Pisa, Italy
| | - F Facchinetti
- INSERM U981, Gustave Roussy Cancer Campus, Université Paris Saclay, Villejuif, France
| | - R Ferrara
- Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - T Franchina
- Department of Human Pathology "G. Barresi", University of Messina, Italy
| | - U Malapelle
- Department of Public Health, University of Naples "Federico II", Naples, Italy
| | - J Menis
- Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy, Medical Oncology Department, Istituto Oncologico Veneto IRCCS, Padova, Italy
| | - A Passaro
- Division of Thoracic Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - S Pilotto
- U.O.C. Oncology, University of Verona, Azienda Ospedaliera Universitaria Integrata, Verona, Italy
| | - S Ramella
- Radiotherapy Unit, Campus Bio-Medico University, Rome, Italy
| | - G Rossi
- Pathologic Anatomy, Azienda USL della Romagna, S. Maria delle Croci Hospital of Ravenna and Degli Infermi Hospital of Rimini, Italy
| | - R Trisolini
- Interventional Pulmonology Unit, Policlinico S. Orsola-Malpighi, Bologna, Italy
| | - S Novello
- Department of Oncology, University of Turin, San Luigi Hospital, Orbassano, TO, Italy.
| |
Collapse
|
31
|
Hylton DA, Shargall Y, Finley C, Agzarian J, Fahim C, Hanna WC. A novel online education module to teach clinicians how to correctly identify ultrasonographic features of mediastinal lymph nodes during endobronchial ultrasound. Can J Surg 2020; 63:E62-E68. [PMID: 32031766 DOI: 10.1503/cjs.000119] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Background Ultrasonographic features can be used to predict mediastinal lymph node malignancy during endobronchial ultrasonography. Despite the validity of using these features for this purpose, the features are not being widely used in clinical practice. This may be attributable to the absence of educational programs that teach clinicians how to identify the features. To address this knowledge gap, we developed an online educational module to teach clinicians how to correctly interpret ultrasonographic features. Methods The module was designed using corrective feedback and test-enhanced learning theories and distributed to clinicians in relevant specialties. The efficacy of the program was determined by comparing the percentages of correctly identified ultrasonographic features as each clinician progressed through the module. Participants were also asked to self-rate their confidence during the module. Analysis of variance was conducted, and a learning curve and descriptive statistics were generated. Results Twenty-two of the 29 participants (76%) completed the module. Analysis of variance indicated that the percentage of correctly identified features increased significantly as clinicians completed the module (p = 0.004); this finding is supported by the positive slope of the learning curve. Even though they initially reported some difficulty with identifying certain features, their confidence increased as they progressed through the module. When asked, 86% of participants reported that they found the educational module helpful and 90% reported that they would recommend it to others. Conclusion Participating clinicians were receptive to the interactive educational module. It enhances clinician skill and confidence in interpreting ultrasonographic features. The results of this study provide the foundation needed to test the validity of the educational module in clinical settings and to further explore clinician preferences for educational programs.
Collapse
Affiliation(s)
- Danielle A. Hylton
- From the Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ont. (Hylton, Fahim, Hanna); and the Division of Thoracic Surgery, Department of Surgery, McMaster University, Hamilton, Ont. (Shargall, Agzarian, Hanna)
| | - Yaron Shargall
- From the Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ont. (Hylton, Fahim, Hanna); and the Division of Thoracic Surgery, Department of Surgery, McMaster University, Hamilton, Ont. (Shargall, Agzarian, Hanna)
| | - Christian Finley
- From the Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ont. (Hylton, Fahim, Hanna); and the Division of Thoracic Surgery, Department of Surgery, McMaster University, Hamilton, Ont. (Shargall, Agzarian, Hanna)
| | - John Agzarian
- From the Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ont. (Hylton, Fahim, Hanna); and the Division of Thoracic Surgery, Department of Surgery, McMaster University, Hamilton, Ont. (Shargall, Agzarian, Hanna)
| | - Christine Fahim
- From the Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ont. (Hylton, Fahim, Hanna); and the Division of Thoracic Surgery, Department of Surgery, McMaster University, Hamilton, Ont. (Shargall, Agzarian, Hanna)
| | - Waël C. Hanna
- From the Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ont. (Hylton, Fahim, Hanna); and the Division of Thoracic Surgery, Department of Surgery, McMaster University, Hamilton, Ont. (Shargall, Agzarian, Hanna)
| |
Collapse
|
32
|
Kauppi J, Räsänen J. Improving accuracy of hilar and lobar nodal staging in non-small cell lung cancer. J Thorac Dis 2019; 11:S1208-S1210. [PMID: 31245087 DOI: 10.21037/jtd.2019.03.44] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Juha Kauppi
- Department of General Thoracic and Esophageal Surgery, Heart and Lung Center, Helsinki University Hospital, Helsinki, Finland
| | - Jari Räsänen
- Department of General Thoracic and Esophageal Surgery, Heart and Lung Center, Helsinki University Hospital, Helsinki, Finland
| |
Collapse
|
33
|
Harris D, Saha S. Endobronchial ultrasound-guided biopsy for evaluation of suspected lung cancer. Asian Cardiovasc Thorac Ann 2019; 27:471-475. [DOI: 10.1177/0218492319853184] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Purpose Historically, mediastinoscopy has been the gold standard for lung cancer diagnosis and staging, but mediastinoscopy has many limitations including sensitivity, the limited number of lymph node levels that can be sampled, and safety. Endobronchial ultrasound-guided transbronchial needle aspiration is a relatively new and less-invasive technique being used for lung cancer screening. Many studies have reported that it has similar sensitivity and specificity compared to mediastinoscopy, with a significantly lower complication rate. We performed this review to determine our institution’s experience with endobronchial ultrasound-guided transbronchial needle aspiration in lung cancer diagnosis and staging. Methods We reviewed the last 150 patients with suspected lung cancer who underwent endobronchial ultrasound-guided transbronchial needle aspiration procedures in our institution from May 26, 2016 to August 31, 2017. Results Ninety-seven of the 150 patients had a confirmed diagnosis of malignancy. Forty patients had a diagnosis other than cancer, and 13 had incomplete information or were lost to follow-up. Endobronchial ultrasound-guided transbronchial needle aspiration was correct in diagnosing malignancy or excluding malignant lymph nodes in 92 of the 97 patients with malignancy. Overall, the sensitivity, specificity, positive-predictive value, and negative-predictive value was 94.0%, 100.0%, 100.0%, and 91.5%, respectively. Only 3 complications were reported: 2 patients suffered minor bleeding, and one suffered major bleeding that resulted in cardiac arrest. Conclusions Real-time endobronchial ultrasound-guided transbronchial needle aspiration has a similar sensitivity and specificity to mediastinoscopy in diagnosing malignancy, with fewer complications and more financial benefit.
Collapse
Affiliation(s)
- Dwight Harris
- University of Kentucky College of Medicine, Lexington, Kentucky, USA
| | - Sibu Saha
- Department of Surgery, Division of Cardiothoracic Surgery, University of Kentucky, Lexington, Kentucky, USA
| |
Collapse
|
34
|
Is SUVmax Helpful in the Differential Diagnosis of Enlarged Mediastinal Lymph Nodes? A Pilot Study. CONTRAST MEDIA & MOLECULAR IMAGING 2018; 2018:3417190. [PMID: 30510493 PMCID: PMC6230427 DOI: 10.1155/2018/3417190] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 09/02/2018] [Accepted: 09/20/2018] [Indexed: 12/16/2022]
Abstract
Objective To explore the diagnostic value of maximum standard uptake value (SUVmax) from 18F-FDG PET/CT images in enlarged mediastinal lymph nodes of unknown etiology. Methods We performed a retrospective study of patients with enlarged mediastinal lymph nodes on 18F-FDG PET/CT scans. SUVmax and the short axis and long axis of lymph nodes were recorded. These parameters were compared among the five commonest causes of mediastinal lymphadenopathy: lymphoma, metastatic disease, sarcoidosis, tuberculosis, and lymphadenitis. Histopathologic diagnosis was recorded as the final golden standard. Results A total of 94 patients (62 men and 32 women; age range 7-85 y) were included with final diagnoses of 42 patients with benign pathology and 52 patients with malignancies. The sensitivity, specificity, and the accuracy of PET/CT in diagnosis of the benign and malignant mediastinal lymph nodes were 94.2%, 73.8%, and 85.1%, respectively. The SUVmax of benign and malignant groups were 13.10 ± 5.21 and 12.59 ± 5.50, respectively, which had no statistical difference (P > 0.05). However, the long axis and the short axis of lymph nodes in the benign and malignant groups were 2.86 ± 1.02 cm, 1.77 ± 0.60 cm and 6.04 ± 3.83 cm, 3.95 ± 2.08 cm, respectively (P < 0.05). The diagnostic values of PET/CT were higher than those of the long or short axis. However, the specificity of PET/CT was lower (73.8%) than that from the long or short axis (90.5% and 92.9%, respectively), although no statistical difference existed. Among the five common causes of mediastinal lymphadenopathy, significant differences could be seen in SUVmax and in the long axis and the short axis of lymph nodes (P < 0.05). Conclusions SUVmax, a commonly used semiquantitative measurement, was not helpful for differentiation between benign and malignant lesions in patients with enlarged mediastinal lymph nodes in this study. Many benign lesions, such as sarcoidosis and tuberculosis, had high FDG uptake, possibly a trend that the size of the lymph nodes seems to have some diagnostic value.
Collapse
|
35
|
Radiomics Approach to Prediction of Occult Mediastinal Lymph Node Metastasis of Lung Adenocarcinoma. AJR Am J Roentgenol 2018; 211:109-113. [PMID: 29667885 DOI: 10.2214/ajr.17.19074] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE The purpose of this study was to evaluate the prognostic impact of radiomic features from CT scans in predicting occult mediastinal lymph node (LN) metastasis of lung adenocarcinoma. MATERIALS AND METHODS A total of 492 patients with lung adenocarcinoma who underwent preoperative unenhanced chest CT were enrolled in the study. A total of 300 radiomics features quantifying tumor intensity, texture, and wavelet were extracted from the segmented entire-tumor volume of interest of the primary tumor. A radiomics signature was generated by use of the relief-based feature method and the support vector machine classification method. A ROC regression curve was drawn for the predictive performance of radiomics features. Multivariate logistic regression models based on clinicopathologic and radiomics features were compared for discriminating mediastinal LN metastasis. RESULTS Clinical variables (sex, tumor diameter, tumor location) and predominant subtype were risk factors for pathologic mediastinal LN metastasis. The accuracy of radiomics signature for predicting mediastinal LN metastasis was 91.1% in ROC analysis (AUC, 0.972; sensitivity, 94.8%; specificity, 92%). Radiomics signature (Akaike information criterion [AIC] value, 80.9%) showed model fit superior to that of the clinicohistopathologic model (AIC value, 61.1%) for predicting mediastinal LN metastasis. CONCLUSION The radiomics signature of a primary tumor based on CT scans can be used for quantitative and noninvasive prediction of occult mediastinal LN metastasis of lung adenocarcinoma.
Collapse
|
36
|
Fruchter O, Breslavsky A, Brozgol T, Grossman A, Kessi M, Bugayov A, Shimelis K, Vaknine H, Sukmanov O. The diagnostic value of tissue button technique for specimen accusation during endobronchial ultrasound-guided transbronchial fine-needle aspiration. CLINICAL RESPIRATORY JOURNAL 2017; 12:1802-1808. [PMID: 29124891 DOI: 10.1111/crj.12741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Revised: 10/01/2017] [Accepted: 11/05/2017] [Indexed: 11/29/2022]
Abstract
INTRODUCTION The quality of tissue acquisition during endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is a major determinant of the diagnostic yield of the procedure. In the tissue button (TB) technique, the retrieved cellular specimen is fixed in ethanol and subsequently scraped from slide using surgical blade into formaldehyde and processed like ordinary tissue biopsy thus potentially increasing its diagnostic value. OBJECTIVES To retrospectively evaluate the diagnostic yield of a TB technique in patients undergoing EBUS-TBNA for various malignant and benign conditions. METHODS The diagnostic yield of specimen obtained by two methods (TB and traditional cell-block technique) performed during the same procedure are outlined in 46 patients who underwent EBUS-TBNA (median age = 65, range 19-85 years). RESULTS Overall, in both malignant and benign conditions, TB resulted in clear diagnostic material in 43/46 (93.4%) patients. Specifically, TB provided clear histological diagnosis of malignancy (either primary lung cancer or metastases from extra-thoracic cancer) in 30/46 (65.2%) patients and granulomatous inflammation in 11/46 (23.9%) of patients. Only in two patients TB did not provide diagnostic material. CONCLUSIONS The newly introduced TB technique provides valuable histological diagnostic material during EBUS-TBNA both malignant and benign conditions. Given its simplicity and its high diagnostic yield, TB should be considered to be used as one of the preferred specimen acquisition modalities during EBUS-TBNA specimen processing. Direct comparison to alternative tissue processing techniques during EBUS-TBNA should be explored in further randomized prospective studies.
Collapse
Affiliation(s)
- Oren Fruchter
- Pulmonary Division, Wolfson Medical Center, Holon, Israel.,The Sackler School of Medicine, Tel Aviv University, The Internal Medicine Division, Tel Aviv, Israel
| | - Anna Breslavsky
- Pulmonary Division, Wolfson Medical Center, Holon, Israel.,The Sackler School of Medicine, Tel Aviv University, The Internal Medicine Division, Tel Aviv, Israel
| | - Tatyana Brozgol
- Pulmonary Division, Wolfson Medical Center, Holon, Israel.,The Sackler School of Medicine, Tel Aviv University, The Internal Medicine Division, Tel Aviv, Israel
| | - Anna Grossman
- Pulmonary Division, Wolfson Medical Center, Holon, Israel.,The Sackler School of Medicine, Tel Aviv University, The Internal Medicine Division, Tel Aviv, Israel
| | - Mikhailova Kessi
- Pulmonary Division, Wolfson Medical Center, Holon, Israel.,The Sackler School of Medicine, Tel Aviv University, The Internal Medicine Division, Tel Aviv, Israel
| | - Alexey Bugayov
- Pulmonary Division, Wolfson Medical Center, Holon, Israel.,The Sackler School of Medicine, Tel Aviv University, The Internal Medicine Division, Tel Aviv, Israel
| | - Kassa Shimelis
- Pulmonary Division, Wolfson Medical Center, Holon, Israel.,The Sackler School of Medicine, Tel Aviv University, The Internal Medicine Division, Tel Aviv, Israel
| | - Hananya Vaknine
- The Sackler School of Medicine, Tel Aviv University, The Internal Medicine Division, Tel Aviv, Israel.,Pathology Department, Wolfson Medical Center, Holon, Israel
| | - Oleg Sukmanov
- The Sackler School of Medicine, Tel Aviv University, The Internal Medicine Division, Tel Aviv, Israel.,Pathology Department, Wolfson Medical Center, Holon, Israel
| |
Collapse
|