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Evison M, Robinson SD, Sharman A, Datta S, Rammohan K, Duerden R, Montero-Fernandez MA, Gilligan D. Making an accurate diagnosis of anterior mediastinal lesions: a proposal for a new diagnostic algorithm from the BTOG Thymic Malignancies Special Interest Group. Clin Radiol 2024; 79:404-412. [PMID: 38565483 DOI: 10.1016/j.crad.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 03/01/2024] [Accepted: 03/12/2024] [Indexed: 04/04/2024]
Abstract
Due to the rising demand in cross-sectional thoracic imaging, anterior mediastinal lesions are being identified with increasing frequency. Following iterative and multidisciplinary discussions, the BTOG Thymic Malignancies Special Interest Group have developed an algorithm to standardise the diagnostic approach for these relatively uncommon but important conditions which span from benign (thymic remnant, thymic hyperplasia and thymic cysts) to suspected localised thymomas to suspected more aggressive malignancy (thymic carcinoma, lymphoma and germ cell tumours). For each condition, we provide a brief description, an overview of the key radiological findings and a description of the proposed algorithm including the rationale behind the recommendations. We also highlight the role of magnetic resonance (MR) imaging for the characterisation of anterior mediastinal masses in specific indications when the necessary local resources and expertise exist. In addition, we hope this provides the rationale for service development in MR of the anterior mediastinum where current resource and expertise requires development. Through this standardised pathway, we hope to drive improvements in patient care by rationalising surveillance schedules, avoiding unnecessary resections of benign entities with their associated morbidity and optimising the diagnostic work-up prior to the appropriate treatment of anterior mediastinal malignancies.
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Affiliation(s)
- M Evison
- Lung Cancer & Thoracic Surgery Directorate, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK; Manchester Academic Health Science Centre (MAHSC), Faculty of Biology, Medicine & Health, University of Manchester, Manchester, UK.
| | - S D Robinson
- Sussex Cancer Centre, Royal Sussex County Hospital, University Hospitals Sussex NHS Foundation Trust, Brighton, UK; Department of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, Falmer, Brighton, UK.
| | - A Sharman
- Manchester Thoracic Oncology Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - S Datta
- Department of Radiology, Royal Alexandra Hospital, NHS Glasgow and Clyde, Glasgow, UK
| | - K Rammohan
- Lung Cancer & Thoracic Surgery Directorate, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - R Duerden
- Department of Radiology, Stepping Hill Hospital, Stockport NHS Foundation Trust, Stockport, UK
| | - M A Montero-Fernandez
- Department of Histopathology, Royal Liverpool University Hospital, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | - D Gilligan
- Department of Oncology, Addenbrookes Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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Ceulemans LJ, Vandaele T. The valuable role of extended pleurectomy decortication and HITHOC for disseminated pleural thymoma. MEDIASTINUM (HONG KONG, CHINA) 2024; 8:26. [PMID: 38881807 PMCID: PMC11177004 DOI: 10.21037/med-24-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 04/22/2024] [Indexed: 06/18/2024]
Affiliation(s)
- Laurens J Ceulemans
- Department of Thoracic Surgery, University Hospitals Leuven, Leuven, Belgium
- Department of Chronic Diseases and Metabolism, Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), KU Leuven, Leuven, Belgium
| | - Tom Vandaele
- Department of Thoracic Surgery, University Hospitals Leuven, Leuven, Belgium
- Department of Chronic Diseases and Metabolism, Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), KU Leuven, Leuven, Belgium
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Klug M, Strange CD, Truong MT, Kirshenboim Z, Ofek E, Konen E, Marom EM. Thymic Imaging Pitfalls and Strategies for Optimized Diagnosis. Radiographics 2024; 44:e230091. [PMID: 38602866 DOI: 10.1148/rg.230091] [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: 04/13/2024]
Abstract
Thymic imaging is challenging because the imaging appearance of a variety of benign and malignant thymic conditions are similar. CT is the most commonly used modality for mediastinal imaging, while MRI and fluorine 18 fluorodeoxyglucose (FDG) PET/CT are helpful when they are tailored to the correct indication. Each of these imaging modalities has limitations and technical pitfalls that may lead to an incorrect diagnosis and mismanagement. CT may not be sufficient for the characterization of cystic thymic processes and differentiation between thymic hyperplasia and thymic tumors. MRI can be used to overcome these limitations but is subject to other potential pitfalls such as an equivocal decrease in signal intensity at chemical shift imaging, size limitations, unusual signal intensity for cysts, subtraction artifacts, pseudonodularity on T2-weighted MR images, early imaging misinterpretation, flow and spatial resolution issues hampering assessment of local invasion, and the overlap of apparent diffusion coefficients between malignant and benign thymic entities. FDG PET/CT is not routinely indicated due to some overlap in FDG uptake between thymomas and benign thymic processes. However, it is useful for staging and follow-up of aggressive tumors (eg, thymic carcinoma), particularly for detection of occult metastatic disease. Pitfalls in imaging after treatment of thymic malignancies relate to technical challenges such as postthymectomy sternotomy streak metal artifacts, differentiation of postsurgical thymic bed changes from tumor recurrence, or human error with typical "blind spots" for identification of metastatic disease. Understanding these pitfalls enables appropriate selection of imaging modalities, improves diagnostic accuracy, and guides patient treatment. ©RSNA, 2024 Test Your Knowledge questions for this article are available in the supplemental material.
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Affiliation(s)
- Maximiliano Klug
- From the Division of Diagnostic Imaging (M.K., Z.K., E.K., E.M.M.) and Institute of Pathology (E.O.), The Chaim Sheba Medical Center, Tel Hashomer, 2 Derech Sheba St, Ramat Gan, 5265601, Israel; Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel (M.K., Z.K., E.O., E.K., E.M.M.); and Department of Thoracic Imaging, University of Texas MD Anderson Cancer Center, Houston, Tex (C.D.S., M.T.T.)
| | - Chad D Strange
- From the Division of Diagnostic Imaging (M.K., Z.K., E.K., E.M.M.) and Institute of Pathology (E.O.), The Chaim Sheba Medical Center, Tel Hashomer, 2 Derech Sheba St, Ramat Gan, 5265601, Israel; Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel (M.K., Z.K., E.O., E.K., E.M.M.); and Department of Thoracic Imaging, University of Texas MD Anderson Cancer Center, Houston, Tex (C.D.S., M.T.T.)
| | - Mylene T Truong
- From the Division of Diagnostic Imaging (M.K., Z.K., E.K., E.M.M.) and Institute of Pathology (E.O.), The Chaim Sheba Medical Center, Tel Hashomer, 2 Derech Sheba St, Ramat Gan, 5265601, Israel; Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel (M.K., Z.K., E.O., E.K., E.M.M.); and Department of Thoracic Imaging, University of Texas MD Anderson Cancer Center, Houston, Tex (C.D.S., M.T.T.)
| | - Zehavit Kirshenboim
- From the Division of Diagnostic Imaging (M.K., Z.K., E.K., E.M.M.) and Institute of Pathology (E.O.), The Chaim Sheba Medical Center, Tel Hashomer, 2 Derech Sheba St, Ramat Gan, 5265601, Israel; Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel (M.K., Z.K., E.O., E.K., E.M.M.); and Department of Thoracic Imaging, University of Texas MD Anderson Cancer Center, Houston, Tex (C.D.S., M.T.T.)
| | - Efrat Ofek
- From the Division of Diagnostic Imaging (M.K., Z.K., E.K., E.M.M.) and Institute of Pathology (E.O.), The Chaim Sheba Medical Center, Tel Hashomer, 2 Derech Sheba St, Ramat Gan, 5265601, Israel; Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel (M.K., Z.K., E.O., E.K., E.M.M.); and Department of Thoracic Imaging, University of Texas MD Anderson Cancer Center, Houston, Tex (C.D.S., M.T.T.)
| | - Eli Konen
- From the Division of Diagnostic Imaging (M.K., Z.K., E.K., E.M.M.) and Institute of Pathology (E.O.), The Chaim Sheba Medical Center, Tel Hashomer, 2 Derech Sheba St, Ramat Gan, 5265601, Israel; Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel (M.K., Z.K., E.O., E.K., E.M.M.); and Department of Thoracic Imaging, University of Texas MD Anderson Cancer Center, Houston, Tex (C.D.S., M.T.T.)
| | - Edith Michelle Marom
- From the Division of Diagnostic Imaging (M.K., Z.K., E.K., E.M.M.) and Institute of Pathology (E.O.), The Chaim Sheba Medical Center, Tel Hashomer, 2 Derech Sheba St, Ramat Gan, 5265601, Israel; Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel (M.K., Z.K., E.O., E.K., E.M.M.); and Department of Thoracic Imaging, University of Texas MD Anderson Cancer Center, Houston, Tex (C.D.S., M.T.T.)
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Yamada D, Kojima F, Otsuka Y, Kawakami K, Koishi N, Oba K, Bando T, Matsusako M, Kurihara Y. Multimodal modeling with low-dose CT and clinical information for diagnostic artificial intelligence on mediastinal tumors: a preliminary study. BMJ Open Respir Res 2024; 11:e002249. [PMID: 38589197 PMCID: PMC11015206 DOI: 10.1136/bmjresp-2023-002249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 03/22/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND Diagnosing mediastinal tumours, including incidental lesions, using low-dose CT (LDCT) performed for lung cancer screening, is challenging. It often requires additional invasive and costly tests for proper characterisation and surgical planning. This indicates the need for a more efficient and patient-centred approach, suggesting a gap in the existing diagnostic methods and the potential for artificial intelligence technologies to address this gap. This study aimed to create a multimodal hybrid transformer model using the Vision Transformer that leverages LDCT features and clinical data to improve surgical decision-making for patients with incidentally detected mediastinal tumours. METHODS This retrospective study analysed patients with mediastinal tumours between 2010 and 2021. Patients eligible for surgery (n=30) were considered 'positive,' whereas those without tumour enlargement (n=32) were considered 'negative.' We developed a hybrid model combining a convolutional neural network with a transformer to integrate imaging and clinical data. The dataset was split in a 5:3:2 ratio for training, validation and testing. The model's efficacy was evaluated using a receiver operating characteristic (ROC) analysis across 25 iterations of random assignments and compared against conventional radiomics models and models excluding clinical data. RESULTS The multimodal hybrid model demonstrated a mean area under the curve (AUC) of 0.90, significantly outperforming the non-clinical data model (AUC=0.86, p=0.04) and radiomics models (random forest AUC=0.81, p=0.008; logistic regression AUC=0.77, p=0.004). CONCLUSION Integrating clinical and LDCT data using a hybrid transformer model can improve surgical decision-making for mediastinal tumours, showing superiority over models lacking clinical data integration.
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Affiliation(s)
- Daisuke Yamada
- Department of Radiology, Saint Luke's International Hospital, Chuo-ku, Japan
| | - Fumitsugu Kojima
- Department of Thoracic Surgery, Saint Luke's International Hospital, Chuo-ku, Japan
| | - Yujiro Otsuka
- Department of Radiology, Juntendo University, Bunkyo-ku, Japan
- Plusman LLC, Tokyo, Japan
| | - Kouhei Kawakami
- Department of Radiology, Saint Luke's International Hospital, Chuo-ku, Japan
| | - Naoki Koishi
- Department of Radiology, Saint Luke's International Hospital, Chuo-ku, Japan
| | - Ken Oba
- Department of Radiology, Saint Luke's International Hospital, Chuo-ku, Japan
| | - Toru Bando
- Department of Thoracic Surgery, Saint Luke's International Hospital, Chuo-ku, Japan
| | - Masaki Matsusako
- Department of Radiology, Saint Luke's International Hospital, Chuo-ku, Japan
| | - Yasuyuki Kurihara
- Department of Radiology, Saint Luke's International Hospital, Chuo-ku, Japan
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Agaoglu Sanli B, Duman E, Gulmez B, Aguloglu N, Yazgan S, Ceylan KC, Ucvet A. Evaluation of the effect of PET/CT Fluorodeoxyglucose inclusion on mortality and survival in operated thymoma patients. Nucl Med Commun 2024; 45:236-243. [PMID: 38165166 DOI: 10.1097/mnm.0000000000001805] [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: 01/03/2024]
Abstract
PURPOSE In recent years, the use of fluorodeoxyglucose PET-computed tomography (PET-CT) has become widespread to evaluate the diagnosis, metabolism, stage and distant metastases of thymoma. In this study, it was aimed to investigate the connection of malignancy potential, survival and maximum standardized uptake value (SUV max ) measured by PET-CT before surgery according to the histological classification of the WHO in patients operated for thymoma. In addition, the predictive value of the Glasgow prognostic score (GPS) generated by C-reactive protein (CRP) and albumin values on recurrence and survival was investigated and its potential as a prognostic biomarker was evaluated. METHODS Forty-five patients who underwent surgical resection for thymoma and were examined with PET-CT in the preoperative period between January 2010 and January 2022 were included in the study. The relationship between WHO histological classification, tumor size and SUV max values on PET-CT according to TNM classification of retrospectively analyzed corticoafferents were evaluated. Preoperative albumin and CRP values were used to determine GPS. RESULTS The cutoff value for SUV max was found to be 5.65 in the patients and the overall survival rate of low-risk (<5.65) and high-risk (>5.65) patients was compared according to the SUV max threshold value (5.65) and found to be statistically significant. In addition, the power of PET/CT SUV max value to predict mortality (according to receiver operating characteristics analysis) was statistically significant ( P = 0.048). Survival expectancy was 127.6 months in patients with mild GPS (O points), 96.7 months in patients with moderate GPS (1 point), and 25.9 months in patients with severe GPS (2 points). CONCLUSION PET/CT SUV max values can be used to predict histological sub-type in thymoma patients, and preoperative SUV max and GPS are parameters that can provide information about survival times and mortality in thymoma patients.
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Affiliation(s)
- Bahar Agaoglu Sanli
- University of Health Sciences , Dr Suat Seren Chest Diseases and Chest Surgery Training and Research Hospital, Thoracic Surgery Clinic, İzmir
| | - Elif Duman
- University of Health Sciences , Dr Suat Seren Chest Diseases and Chest Surgery Training and Research Hospital, Thoracic Surgery Clinic, İzmir
| | - Bariş Gulmez
- University of Health Sciences, Van Training and Research Hospital, Thoracic Surgery Clinic, Van
| | - Nurşin Aguloglu
- University of Health Sciences, Dr Suat Seren Chest Diseases and Chest Surgery Training and Research Hospital, Nuclear Medicine Clinic, İzmir, Turkey
| | - Serkan Yazgan
- University of Health Sciences , Dr Suat Seren Chest Diseases and Chest Surgery Training and Research Hospital, Thoracic Surgery Clinic, İzmir
| | - Kenan Can Ceylan
- University of Health Sciences , Dr Suat Seren Chest Diseases and Chest Surgery Training and Research Hospital, Thoracic Surgery Clinic, İzmir
| | - Ahmet Ucvet
- University of Health Sciences , Dr Suat Seren Chest Diseases and Chest Surgery Training and Research Hospital, Thoracic Surgery Clinic, İzmir
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Marom EM, Fang W, Ruffini E, Detterbeck F, Ahmad U, Appel S, Bille A, Boubia S, Brambilla C, Cilento V, Cangir AK, Falkson C, Filosso PL, Giaccone G, Girard N, Goren E, Guerrera F, Huang J, Infante M, Kim DK, Lucchi M, Marino M, Nicholson AG, Okumura M, Rami-Porta R, Rimner A, Simone CB, Asamura H. The International Association for the Study of Lung Cancer Thymic Epithelial Tumor Staging Project: A Re-Assessment of the International Thymic Malignancy Interest Group/International Association for the Study of Lung Cancer Lymph Node Map for Thymic Epithelial Tumors for the Forthcoming Ninth Edition of the TNM Classification of Malignant Tumors. J Thorac Oncol 2023; 18:1672-1688. [PMID: 37689390 DOI: 10.1016/j.jtho.2023.09.001] [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: 07/26/2023] [Revised: 08/29/2023] [Accepted: 09/01/2023] [Indexed: 09/11/2023]
Abstract
INTRODUCTION A lymph node map is the pillar on which accurate assignment and documentation of nodal classification stands. The International Thymic Malignancy Interest Group created the first map for thymic epithelial malignancies in conjunction with the eighth edition of the TNM classification, representing the first official TNM classification of thymic epithelial malignancies. The map was based on clinical experience and published studies, but it was largely empirical because of limited available data. Dissemination of the map and implementation of a standard thymic stage classification across the world in 2017 have provided more consistent and granular data. METHODS More than twice as many cases of node involvement are available for analysis in the current database compared with that of the eighth edition database, allowing validation of many aspects of the eighth edition map. This article details the process and considerations for refinement of the thymic map for the ninth TNM used by the Thymic Domain of the Staging and Prognostic Factors Committee of the International Association for the Study of Lung Cancer. The committee evaluated a large international collaborative data set, published anatomical and clinical studies pertaining to lymph node spread from thymic epithelial tumors, in conjunction with the analysis underlying refinements of the TNM components for the ninth edition TNM classification. RESULTS The node map boundaries of the N1 and N2 categories remain unchanged. Visual clarifications have been added to the nomenclature of nodal stations within these regions. CONCLUSIONS On the basis of the recommendation to keep the N component unchanged for the ninth edition TNM classification, the lymph node map remains unchanged as well; however, clarifications have been added to facilitate clinical use.
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Affiliation(s)
- Edith M Marom
- Department of Diagnostic Imaging, Chaim Sheba Medical Center, Tel-Aviv University, Ramat Gan, Israel
| | - Wentao Fang
- Shanghai Chest Hospital, Jiaotong University Medical School, Shanghai, People's Republic of China
| | | | | | - Usman Ahmad
- Thoracic Surgery in the Heart, Vascular & Thoracic Institute at Cleveland Clinic, Abu Dhabi, United Arab Emirates
| | | | | | | | - Cecilia Brambilla
- Royal Brompton and Harefield NHS Hospitals, Guy's and St. Thomas' NHS Foundation Trust and National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - Vanessa Cilento
- Cancer Research And Biostatistics (CRAB), Seattle, Washington
| | | | | | | | | | - Nicolas Girard
- Institut Curie, Thorax Institute Curie Montsouris, Paris, France; Paris Saclay University, UVSQ, Versailles, France
| | - Emily Goren
- Cancer Research And Biostatistics (CRAB), Seattle, Washington
| | | | - James Huang
- Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Dong-Kwan Kim
- Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Marco Lucchi
- Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
| | - Mirella Marino
- IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Andrew G Nicholson
- Royal Brompton and Harefield NHS Hospitals, Guy's and St. Thomas' NHS Foundation Trust and National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - Meinoshin Okumura
- National Hospital Organization Osaka Toneyama Medical Center, Osaka, Japan
| | - Ramon Rami-Porta
- Hospital Universitari Mutua Terrassa, Terrassa, Spain, and Network of Centers for Biomedical Research in Respiratory Diseases (CIBERES) Lung Cancer Group, Terrassa, Spain
| | - Andreas Rimner
- Memorial Sloan Kettering Cancer Center, New York, New York
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7
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Shen X, Zhou X, Yao Y, Meng X, Song Y, Yang Z, Li N. Superiority of [ 68Ga]Ga-DOTA-FAPI-04 PET/CT to [ 18F]FDG PET/CT in the evaluation of thymic epithelial tumours. Eur J Nucl Med Mol Imaging 2023; 50:3414-3424. [PMID: 37316675 DOI: 10.1007/s00259-023-06294-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 06/04/2023] [Indexed: 06/16/2023]
Abstract
PURPOSE The purpose of this study is to compare the ability of [68Ga]Ga-DOTA-FAPI-04 PET/CT and [18F]FDG PET/CT to stratify the malignancy and invasiveness of thymic epithelial tumours (TETs). METHODS From April 2021 to November 2022, participants with suspected TETs confirmed by histopathology or follow-up imaging were prospectively analysed. All participants underwent [18F]FDG and [68Ga]Ga-DOTA-FAPI-04 PET/CT within 1 week. Clinical characteristics, CT features, and metabolic parameters (maximum standardized uptake value [SUVmax] and tumour-to-mediastinum ratio [TMR]) of subjects with different pathological types and stages were compared. The diagnostic capacities of [18F]FDG and [68Ga]Ga-DOTA-FAPI-04 PET/CT were compared using receiver operating characteristic (ROC) curves and McNemar's test. RESULTS Fifty-seven participants were included. [68Ga]Ga-DOTA-FAPI-04 PET/CT was superior to [18F]FDG PET/CT in differentiating thymomas from thymic carcinomas (TCs) (AUC: 0.99 vs. 0.90, P = 0.02). Logistic regression revealed that SUVmax-FAPI (P = 0.04) was a significant predictive factor for TCs. SUVmax-FAPI and TMR-FAPI showed an excellent ability to differentiate low-risk thymomas (types A, AB, and B1), high-risk thymomas (types B2 and B3), and TCs (both P < 0.001). In thymomas, only SUVmax-FAPI (P < 0.001), TMR-FAPI (P < 0.001), and nonsmooth edges (P = 0.02) were significantly higher in the advanced-stage (Masaoka-Koga [MK] stage III/IV) group than in the early-stage group (MK stage I/II). Compared with [18F]FDG PET/CT, [68Ga]Ga-DOTA-FAPI-04 PET/CT showed significantly higher specificity (67% [46 of 69] vs. 93% [64 of 69], P < 0.001) in the detection of lymph node metastases and higher sensitivity (49% [19 of 39] vs. 97% [38 of 39], P < 0.001) in evaluating distant metastases. Both SUVmax-FAPI and TMR-FAPI were correlated with FAP expression (both r = 0.843, P < 0.001). CONCLUSION [68Ga]Ga-DOTA-FAPI-04 PET/CT was superior to [18F]FDG PET/CT in evaluating the World Health Organization (WHO) classification, MK staging, and metastatic status of TETs. TRIAL REGISTRATION ChiCTR2000038080, registration date 2020-09-09, https://www.chictr.org.cn/com/25/showproj.aspx?proj=61192.
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Affiliation(s)
- Xiuling Shen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, No. 52 Fucheng Rd, Beijing, 100142, China
| | - Xin Zhou
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, No. 52 Fucheng Rd, Beijing, 100142, China
| | - Yuan Yao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, No. 52 Fucheng Rd, Beijing, 100142, China
| | - Xiangxi Meng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, No. 52 Fucheng Rd, Beijing, 100142, China
| | - Yufei Song
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, No. 52 Fucheng Rd, Beijing, 100142, China
| | - Zhi Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, No. 52 Fucheng Rd, Beijing, 100142, China
| | - Nan Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, No. 52 Fucheng Rd, Beijing, 100142, China.
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Strange CD, Truong MT, Ahuja J, Strange TA, Patel S, Marom EM. Imaging evaluation of thymic tumors. MEDIASTINUM (HONG KONG, CHINA) 2023; 7:28. [PMID: 37701637 PMCID: PMC10493619 DOI: 10.21037/med-22-58] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 05/19/2023] [Indexed: 09/14/2023]
Abstract
An integral part of managing patients with thymoma and thymic carcinoma is imaging. At diagnosis and staging, imaging helps demonstrate the extent of local invasion and distant metastases which allows the proper stratification of patients for therapy. For decades, the predominant staging system for thymic tumors was the Masaoka-Koga staging system. More recently, however, the International Association for the Study of Lung Cancer, the International Thymic Malignancies Interest Group (ITMIG), the European Society of Thoracic Surgeons, the Chinese Alliance for Research on Thymomas, and the Japanese Association of Research on Thymus partnered together to develop a tumor-node-metastasis (TNM) staging system specifically for thymic tumors based on a retrospective database of nearly 10,000 patients. The TNM 8th edition defines specific criteria for thymic tumors. Imaging also serves to assess treatment response and detect recurrent disease after various treatment modalities. The Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 is currently used to assess response to treatment. ITMIG recommends certain modifications to RECIST version 1.1, however, in thymic tumors due to unique patterns of spread. While there is often overlap, computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography/computed tomography (PET/CT) characteristics can help differentiate thymoma and thymic carcinoma, with newer CT and MRI techniques under evaluation showing encouraging potential.
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Affiliation(s)
- Chad D. Strange
- Department of Thoracic Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mylene T. Truong
- Department of Thoracic Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jitesh Ahuja
- Department of Thoracic Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Smita Patel
- Division of Cardiothoracic Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Edith M. Marom
- Department of Diagnostic Radiology, Chaim Sheba Medical Center, Affiliated with the Tel Aviv University, Tel Hashomer, Israel
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Muacevic A, Adler JR, Laurino L, Breda C. Prostate Adenocarcinoma Within a Thymoma: A Rare Case of Tumor-to-Tumor Metastasis. Cureus 2023; 15:e33537. [PMID: 36779095 PMCID: PMC9907031 DOI: 10.7759/cureus.33537] [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] [Accepted: 01/05/2023] [Indexed: 01/11/2023] Open
Abstract
Tumor-to-tumor metastasis is defined as when metastasis from a primary tumor (donor) grows in a different primary neoplasm (recipient). Due to the structure of the thymus and the low incidence rate, thymic epithelial neoplasm has been rarely described in the literature as a recipient for metastases.In this report,a patient with advanced prostatic cancer and under control after chemo/hormone therapy was directed to our thoracic surgery unit for an anterior mediastinal mass detected during the staging workup for prostate disease. A limited uptake at fluorodeoxyglucose-positron emission tomography (FDG-PET) in the mediastinal lesion, while the surrounding tissue showed diffusely negative hypermetabolism, suggested a second primary thymic epithelial tumor with a possible carcinomatous differentiation. A thymectomy through a median sternotomy was carried out. Histopathological analysis after thymectomy revealed a type A thymoma with multiple elements of prostate adenocarcinoma within it. The foci of prostate adenocarcinoma were co-located in the context of the thymoma, revealing what is defined as a tumor-to-tumor metastasis.To our knowledge, this is the first report describing a thymoma as the recipient of metastases coming from a primary extrathoracic tumor without the involvement of other thoracic organs.
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Chiappetta M, Mendogni P, Cattaneo M, Evangelista J, Farina P, Pizzuto DA, Annunziata S, Castello A, Congedo MT, Tabacco D, Sassorossi C, Castellani M, Nosotti M, Margaritora S, Lococo F. Is PET/CT Able to Predict Histology in Thymic Epithelial Tumours? A Narrative Review. Diagnostics (Basel) 2022; 13:diagnostics13010098. [PMID: 36611390 PMCID: PMC9818128 DOI: 10.3390/diagnostics13010098] [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: 10/26/2022] [Revised: 12/13/2022] [Accepted: 12/22/2022] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND The usefulness of 18FDG PET/CT scan in the evaluation of thymic epithelial tumours (TETs) has been reported by several authors, but data are still limited and its application in clinical practice is far from being defined. METHODS We performed a narrative review of pertinent literature in order to clarify the role of 18FDG PET/CT in the prediction of TET histology and to discuss clinical implications and future perspectives. RESULTS There is only little evidence that 18FDG PET/CT scan may distinguish thymic hyperplasia from thymic epithelial tumours. On the other hand, it seems to discriminate well thymomas from carcinomas and, even more, to predict the grade of malignancy (WHO classes). To this end, SUVmax and other PET variables (i.e., the ratio between SUVmax and tumour dimensions) have been adopted, with good results. Finally, however promising, the future of PET/CT and theranostics in TETs is far from being defined; more robust analysis of imaging texture on thymic neoplasms, as well as new exploratory studies with "stromal PET tracers," are ongoing. CONCLUSIONS PET may play a role in predicting histology in TETs and help physicians in the management of these insidious malignancies.
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Affiliation(s)
- Marco Chiappetta
- Department of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
- Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - Paolo Mendogni
- Thoracic Surgery, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlnico, 20122 Milan, Italy
- Correspondence:
| | - Margherita Cattaneo
- Thoracic Surgery, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlnico, 20122 Milan, Italy
| | - Jessica Evangelista
- Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - Piero Farina
- Department of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Daniele Antonio Pizzuto
- Department of Nuclear Medicine, University Hospital Zurich, 8091 Zurich, Switzerland
- Unità Di Medicina Nucleare, TracerGLab, Dipartimento Diagnostica Per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico A. Gemelli IRCCS, 00168 Rome, Italy
| | - Salvatore Annunziata
- Unità Di Medicina Nucleare, TracerGLab, Dipartimento Diagnostica Per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico A. Gemelli IRCCS, 00168 Rome, Italy
| | - Angelo Castello
- Department of Nuclear Medicine, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Maria Teresa Congedo
- Department of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
- Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - Diomira Tabacco
- Department of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
- Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - Carolina Sassorossi
- Department of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
- Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - Massimo Castellani
- Department of Nuclear Medicine, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Mario Nosotti
- Thoracic Surgery, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlnico, 20122 Milan, Italy
| | - Stefano Margaritora
- Department of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
- Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - Filippo Lococo
- Department of Translational Medicine and Surgery, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
- Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
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11
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Dong W, Xiong S, Lei P, Wang X, Liu H, Liu Y, Zou H, Fan B, Qiu Y. Application of a combined radiomics nomogram based on CE-CT in the preoperative prediction of thymomas risk categorization. Front Oncol 2022; 12:944005. [PMID: 36081562 PMCID: PMC9446086 DOI: 10.3389/fonc.2022.944005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 08/01/2022] [Indexed: 12/04/2022] Open
Abstract
Objective This study aimed to establish a combined radiomics nomogram to preoperatively predict the risk categorization of thymomas by using contrast-enhanced computed tomography (CE-CT) images. Materials and Methods The clinical, pathological, and CT data of 110 patients with thymoma (50 patients with low-risk thymomas and 60 patients with high-risk thymomas) collected in our Hospital from July 2017 to March 2022 were retrospectively analyzed. The study subjects were randomly divided into the training set (n = 77) and validation set (n = 33) in a 7:3 ratio. Radiomics features were extracted from the CT images, and the least absolute shrinkage and selection operator (LASSO) algorithm was performed to select 13 representative features. Five models, including logistic regression (LR), support vector machine (SVM), random forest (RF), decision tree (DT), and gradient boosting decision tree (GBDT) were constructed to predict thymoma risks based on these features. A combined radiomics nomogram was further established based on the clinical factors and radiomics scores. The performance of the models was evaluated using receiver operating characteristic (ROC) curve, DeLong tests, and decision curve analysis. Results Maximum tumor diameter and boundary were selected to build the clinical factors model. Thirteen features were acquired by LASSO algorithm screening as the optimal features for machine learning model construction. The LR model exhibited the highest AUC value (0.819) among the five machine learning models in the validation set. Furthermore, the radiomics nomogram combining the selected clinical variables and radiomics signature predicted the categorization of thymomas at different risks more effectively (the training set, AUC = 0.923; the validation set, AUC = 0.870). Finally, the calibration curve and DCA were utilized to confirm the clinical value of this combined radiomics nomogram. Conclusion We demonstrated the clinical diagnostic value of machine learning models based on CT semantic features and the selected clinical variables, providing a non-invasive, appropriate, and accurate method for preoperative prediction of thymomas risk categorization.
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Affiliation(s)
- Wentao Dong
- Department of Radiology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Situ Xiong
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Pinggui Lei
- Department of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Xiaolian Wang
- Department of Radiology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Hao Liu
- R&D, Yizhun Medical AI, Beijing, China
| | - Yangchun Liu
- Department of Radiology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Huachun Zou
- Department of Radiology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Bing Fan
- Department of Radiology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
- *Correspondence: Bing Fan, ; Yingying Qiu,
| | - Yingying Qiu
- Department of Radiology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
- *Correspondence: Bing Fan, ; Yingying Qiu,
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12
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Nakajo M, Takeda A, Katsuki A, Jinguji M, Ohmura K, Tani A, Sato M, Yoshiura T. The efficacy of 18F-FDG-PET-based radiomic and deep-learning features using a machine-learning approach to predict the pathological risk subtypes of thymic epithelial tumors. Br J Radiol 2022; 95:20211050. [PMID: 35312337 PMCID: PMC10996420 DOI: 10.1259/bjr.20211050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Revised: 02/28/2022] [Accepted: 03/14/2022] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE To examine whether the machine-learning approach using 18-fludeoxyglucose positron emission tomography (18F-FDG-PET)-based radiomic and deep-learning features is useful for predicting the pathological risk subtypes of thymic epithelial tumors (TETs). METHODS This retrospective study included 79 TET [27 low-risk thymomas (types A, AB and B1), 31 high-risk thymomas (types B2 and B3) and 21 thymic carcinomas] patients who underwent pre-therapeutic 18F-FDG-PET/CT. High-risk TETs (high-risk thymomas and thymic carcinomas) were 52 patients. The 107 PET-based radiomic features, including SUV-related parameters [maximum SUV (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG)] and 1024 deep-learning features extracted from the convolutional neural network were used to predict the pathological risk subtypes of TETs using six different machine-learning algorithms. The area under the curves (AUCs) were calculated to compare the predictive performances. RESULTS SUV-related parameters yielded the following AUCs for predicting thymic carcinomas: SUVmax 0.713, MTV 0.442, and TLG 0.479 or high-risk TETs: SUVmax 0.673, MTV 0.533, and TLG 0.539. The best-performing algorithm was the logistic regression model for predicting thymic carcinomas (AUC 0.900, accuracy 81.0%), and the random forest (RF) model for high-risk TETs (AUC 0.744, accuracy 72.2%). The AUC was significantly higher in the logistic regression model than three SUV-related parameters for predicting thymic carcinomas, and in the RF model than MTV and TLG for predicting high-risk TETs (each; p < 0.05). CONCLUSION 18F-FDG-PET-based radiomic analysis using a machine-learning approach may be useful for predicting the pathological risk subtypes of TETs. ADVANCES IN KNOWLEDGE Machine-learning approach using 18F-FDG-PET-based radiomic features has the potential to predict the pathological risk subtypes of TETs.
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Affiliation(s)
- Masatoyo Nakajo
- Department of Radiology, Kagoshima University, Graduate School
of Medical and Dental Sciences,
Kagoshima, Japan
| | - Aya Takeda
- Department of General Thoracic Surgery, Kagoshima University,
Graduate School of Medical and Dental Sciences,
Kagoshima, Japan
| | - Akie Katsuki
- Research and Development Department, GE Healthcare
Japan, Tokyo,
Japan
| | - Megumi Jinguji
- Department of Radiology, Kagoshima University, Graduate School
of Medical and Dental Sciences,
Kagoshima, Japan
| | - Kazuyuki Ohmura
- Research and Development Department, GE Healthcare
Japan, Tokyo,
Japan
| | - Atsushi Tani
- Department of Radiology, Kagoshima University, Graduate School
of Medical and Dental Sciences,
Kagoshima, Japan
| | - Masami Sato
- Department of General Thoracic Surgery, Kagoshima University,
Graduate School of Medical and Dental Sciences,
Kagoshima, Japan
| | - Takashi Yoshiura
- Department of Radiology, Kagoshima University, Graduate School
of Medical and Dental Sciences,
Kagoshima, Japan
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13
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Roden AC, Ahmad U, Cardillo G, Girard N, Jain D, Marom EM, Marx A, Moreira AL, Nicholson AG, Rajan A, Shepherd AF, Simone CB, Strange CD, Szolkowska M, Truong MT, Rimner A. Thymic Carcinomas-A Concise Multidisciplinary Update on Recent Developments From the Thymic Carcinoma Working Group of the International Thymic Malignancy Interest Group. J Thorac Oncol 2022; 17:637-650. [PMID: 35227908 PMCID: PMC11080660 DOI: 10.1016/j.jtho.2022.01.021] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 01/07/2022] [Accepted: 01/29/2022] [Indexed: 10/19/2022]
Abstract
Thymic carcinomas are rare malignancies that in general arise in the prevascular (anterior) mediastinum. These tumors are usually invasive, often present at advanced stages, and typically behave aggressively. Studies are hampered by the paucity of these tumors, the large variety of carcinoma subtypes, and the lack of unique morphologic and immunophenotypic features. Despite these challenges, advances in diagnostic imaging, surgical approaches, systemic therapies, and radiation therapy techniques have been made. The WHO classification of thymic epithelial tumors has been updated in 2021, and the eighth tumor nodal metastasis staging by the American Joint Committee on Cancer/Union for International Cancer Control included thymic carcinomas in 2017. Molecular alterations that provide more insight into the pathogenesis of these tumors and that potentially permit use of novel targeted therapies are increasingly being identified. New approaches to radiation therapy, chemotherapy, and immunotherapy are under evaluation. International societies, including the International Thymic Malignancy Interest Group, European Society of Thoracic Surgeons, and Japanese, Chinese, and Korean thymic associations, have been critical in organizing and conducting multi-institutional clinical studies. Herein, we review contemporary multidisciplinary perspectives in diagnosis and management of thymic carcinoma.
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Affiliation(s)
- Anja C Roden
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
| | - Usman Ahmad
- Department of Cardiothoracic Surgery, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio
| | - Giuseppe Cardillo
- Department of Thoracic Surgery, Carlo Forlanini Hospital, Azienda Ospedaliera San Camillo Forlanini, Rome, Italy
| | - Nicolas Girard
- Institut Curie, Institut du thorax Curie Montsouris, Paris, France; Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Paris Saclay Campus, Versailles, France
| | - Deepali Jain
- Department of Pathology, All India Institute of Medical Sciences, New Delhi, India
| | - Edith M Marom
- Radiology Department, The Chaim Sheba Medical Center Affiliated With Tel Aviv University, Tel Aviv, Israel
| | - Alexander Marx
- Institute of Pathology, University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany
| | - Andre L Moreira
- Department of Pathology, New York University Langone Health, New York, New York
| | - Andrew G Nicholson
- Department of Histopathology, Royal Brompton and Harefield Hospitals, London, United Kingdom; National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - Arun Rajan
- Thoracic and Gastrointestinal Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Annemarie F Shepherd
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Charles B Simone
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center and New York Proton Center, New York, New York
| | - Chad D Strange
- Division of Diagnostic Imaging, MD Anderson Cancer Center, Houston, Texas
| | - Malgorzata Szolkowska
- Department of Pathology, National Tuberculosis and Lung Diseases Research Institute, Warsaw, Poland
| | - Mylene T Truong
- Division of Diagnostic Imaging, MD Anderson Cancer Center, Houston, Texas
| | - Andreas Rimner
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
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14
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Tosi D, Damarco F, Franzi S, Mohamed S, Palleschi A, Mendogni P. Outcomes of extended surgical resections for locally advanced thymic malignancies: a narrative review. Gland Surg 2022; 11:611-621. [PMID: 35402207 PMCID: PMC8984987 DOI: 10.21037/gs-21-642] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 12/14/2021] [Indexed: 08/31/2023]
Abstract
BACKGROUND AND OBJECTIVE Thymic malignancies represent the most common anterior mediastinal neoplasms, as well as rare and challenging tumors. Surgery is the cornerstone in the treatment of thymic malignancies, although a multidisciplinary approach is mandatory, for both, locally advanced or metastatic disease. In our narrative review, we explored the recent literature to investigate clinical and radiological assessment, multimodality approach and outcomes of locally advanced thymic tumors. More than one-third of patients affected by an anterior mediastinal mass are asymptomatic at diagnosis. In case of locally advanced thymoma, symptoms are related to compression or invasion of adjacent structures, such as the superior vena cava (SVC), innominate veins and pericardium. Paraneoplastic syndromes, such as myasthenia gravis (MG), are related to release of antibodies, hormones and cytokines. METHODS Diagnostic methods must be chosen accurately to avoid unnecessary surgical resections, to define the best strategy of care, and to plan the surgical strategy. Therefore, each case must be evaluated in a multidisciplinary context, where surgery plays an essential role. KEY CONTENT AND FINDINGS In this narrative review, we describe indications and surgical techniques for the treatment of locally advanced thymoma; focusing on oncological outcomes after different approaches. CONCLUSIONS In conclusion, aggressive surgery is always indicated, when possible, and when a complete resection can be planned, yet, the multidisciplinary approach is mandatory, in case of both locally or metastatic advanced disease.
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Affiliation(s)
- Davide Tosi
- Thoracic Surgery and Lung Transplantation Unit, IRCCS Foundation Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Francesco Damarco
- Thoracic Surgery and Lung Transplantation Unit, IRCCS Foundation Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Sara Franzi
- Thoracic Surgery and Lung Transplantation Unit, IRCCS Foundation Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | | | - Alessandro Palleschi
- Thoracic Surgery and Lung Transplantation Unit, IRCCS Foundation Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
- University of Milan, Milan, Italy
| | - Paolo Mendogni
- Thoracic Surgery and Lung Transplantation Unit, IRCCS Foundation Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
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15
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Ohno Y, Kishida Y, Seki S, Koyama H, Yui M, Aoyagi K, Yoshikawa T. Comparison of Interobserver Agreement and Diagnostic Accuracy for IASLC/ITMIG Thymic Epithelial Tumor Staging Among Co-registered FDG-PET/MRI, Whole-body MRI, Integrated FDG-PET/CT, and Conventional Imaging Examination with and without Contrast Media Administrations. Acad Radiol 2022; 29 Suppl 3:S122-S131. [PMID: 29395795 DOI: 10.1016/j.acra.2017.12.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2017] [Revised: 11/23/2017] [Accepted: 12/21/2017] [Indexed: 11/01/2022]
Abstract
RATIONALE AND OBJECTIVES The purpose of this study was to compare the interobserver agreements and diagnostic accuracies for IASLC/ITMIG (International Association for the Study of Lung Cancer/International Thymic Malignancies Interest Group) thymic epithelial tumor staging of co-registered fluorodeoxyglucose positron emission tomography/magnetic resonance imaging (FDG-PET/MRI), MRI, integrated fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT), and conventional imaging examination. MATERIALS AND METHODS Prospective whole-body MRI including diffusion-weighted imaging, integrated PET/CTs, conventional imaging examinations, pathological examinations, and surgical reports, as well as follow-up examinations, were performed for 64 consecutive patients with thymic epithelial tumor. All FDG-PET/MRIs were co-registered PET data with MRI. TNM staging was evaluated by two radiologists on the basis of the IASLC/ITMIG thymic epithelial tumor staging system. Kappa statistics were determined for evaluations of agreements of all factors between each of the methods and final diagnosis. Finally, the diagnostic accuracy of each factor and of determination of the clinical stage was statistically compared to each other using McNemar test. RESULTS Agreements for all factors between each method and final diagnosis were assessed as fair, moderate, substantial, or almost perfect (0.28 ≤ kappa value ≤ 0.80; P < .0001). Diagnostic accuracy for N factor of PET/MRI (93.8% [60/64]) and MRI (93.8% [60/64]) was significantly higher than that of conventional imaging examination (81.3% [52/64] vs PET/MRI and MRI; P = .008). In addition, diagnostic accuracy for staging of PET/MRI (84.4% [54/64]) and MRI (84.4 [54/64]) was significantly higher than that of conventional imaging examination (71.9% [46/64] vs PET/MRI and MRI; P = .008). CONCLUSIONS Whole-body PET/MRI, MRI, and PET/CT have better interobserver agreements and accuracies than conventional imaging examination for the new IASLC/ITMIG thymic epithelial tumor staging.
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16
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Kuriyama S, Imai K, Ishiyama K, Takashima S, Atari M, Matsuo T, Ishii Y, Harata Y, Sato Y, Motoyama S, Nomura K, Hashimoto M, Minamiya Y. Using CT to evaluate mediastinal great vein invasion by thymic epithelial tumors: measurement of the interface between the tumor and neighboring structures. Eur Radiol 2022; 32:1891-1901. [PMID: 34554302 DOI: 10.1007/s00330-021-08276-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 07/17/2021] [Accepted: 08/16/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVES For thymic epithelial tumors, simple contact with adjacent structures does not necessarily mean invasion. The purpose of our study was to develop a simple noninvasive technique for evaluating organ invasion using routine pretreatment computed tomography (CT). METHODS This retrospective study analyzed the pathological reports on 95 mediastinal resections performed between January 2003 and June 2020. Using CT images, the length of the interface between the primary tumor and neighboring structures (arch distance; Adist) and maximum tumor diameter (Dmax) was measured, after which Adist/Dmax (A/D) ratios were calculated. Receiver operating characteristic (ROC) curves were used to analyze the Adist and A/D ratios. RESULTS An Adist cut-off of 37.5 mm best distinguished between invaded and non-invaded mediastinal great veins based on ROC curves. When Adist > 37.5 mm was used for diagnosis of invasion of the brachiocephalic vein (BCV) or superior vena cava (SVC), the sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and area under the ROC curve for diagnosis of invasion were 61.9%, 92.5%, 81.25%, 82.2%, 81.97%, and 0.76429, respectively. Moreover, there were significant differences between BCV/SVC Adist > 37.5 mm and ≤ 37.5 mm for 10-year relapse-free survival and 10-year overall survival (p < 0.01). CONCLUSIONS When diagnosing invasion of the mediastinal great veins based on Adist > 37.5 mm, we achieved a higher performance level than the conventional criteria such as irregular interface with an absence of the fat layer. Measurement of Adist is a simple noninvasive technique for evaluating invasion using CT. Key Points • Simple contact between the primary tumor and adjacent structures on CT does not indicate direct invasion. • Using CT images, the length of the interface between the primary tumor and neighboring structures (arch distance; Adist) is a simple noninvasive technique for evaluating invasion. • Adist > 37.5 mm can be a supportive tool to identify invaded mediastinal great veins and surgical indications for T3 and T4 invasion by thymic epithelial tumors.
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Affiliation(s)
- Shoji Kuriyama
- Department of Thoracic Surgery, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan
| | - Kazuhiro Imai
- Department of Thoracic Surgery, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.
| | - Koichi Ishiyama
- Department of Radiology, Akita University Graduate School of Medicine, Akita, Japan
| | - Shinogu Takashima
- Department of Thoracic Surgery, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan
| | - Maiko Atari
- Department of Thoracic Surgery, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan
| | - Tsubasa Matsuo
- Department of Thoracic Surgery, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan
| | - Yoshiaki Ishii
- Department of Thoracic Surgery, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan
| | - Yuzu Harata
- Department of Thoracic Surgery, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan
| | - Yusuke Sato
- Department of Thoracic Surgery, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan
| | - Satoru Motoyama
- Department of Thoracic Surgery, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan
| | - Kyoko Nomura
- Department of Health Environmental Science and Public Health, Akita University Graduate School of Medicine, Akita, Japan
| | - Manabu Hashimoto
- Department of Radiology, Akita University Graduate School of Medicine, Akita, Japan
| | - Yoshihiro Minamiya
- Department of Thoracic Surgery, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan
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17
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Strange CD, Ahuja J, Shroff GS, Truong MT, Marom EM. Imaging Evaluation of Thymoma and Thymic Carcinoma. Front Oncol 2022; 11:810419. [PMID: 35047412 PMCID: PMC8762255 DOI: 10.3389/fonc.2021.810419] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Accepted: 12/09/2021] [Indexed: 01/28/2023] Open
Abstract
Imaging is integral in the management of patients with thymoma and thymic carcinoma. At initial diagnosis and staging, imaging provides the clinical extent of local invasion as well as distant metastases to stratify patients for therapy and to determine prognosis. Following various modalities of therapy, imaging serves to assess treatment response and detect recurrent disease. While imaging findings overlap, a variety of CT, MRI, and PET/CT characteristics can help differentiate thymoma and thymic carcinoma, with new CT and MRI techniques currently under evaluation showing potential.
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Affiliation(s)
- Chad D Strange
- Department of Thoracic Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Jitesh Ahuja
- Department of Thoracic Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Girish S Shroff
- Department of Thoracic Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Mylene T Truong
- Department of Thoracic Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Edith M Marom
- Department of Diagnostic Radiology, Chaim Sheba Medical Center, Tel Aviv University, Tel Aviv, Israel
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18
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Sugawara H, Ito K, Watanabe H, Morita T, Yatabe Y, Watanabe SI, Kusumoto M. Clinical usefulness of PET/MRI in differentiating anterior mediastinal masses. Nucl Med Commun 2022; 43:92-99. [PMID: 34887372 DOI: 10.1097/mnm.0000000000001483] [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: 11/25/2022]
Abstract
OBJECTIVES To investigate the clinical usefulness of 18F-fluorodeoxyglucose (FDG) PET/MRI in differentiating anterior mediastinal lesions, including small ones. MATERIAL AND METHODS Among 96 patients who underwent 18F-FDG PET/MRI screening for anterior mediastinal lesions, we retrospectively reviewed images of 42 patients with histologically or clinically diagnosed thymic carcinomas, thymomas or anterior mediastinal cysts. MRI findings and maximum standardized uptake value (SUVmax) were compared among the three categories. In addition, small lesions measuring <3.0 cm which did not show very high signal intensity (isointense to water) on T2 weighted images (T2WI) were sub-analyzed. RESULTS Significant differences in SUVmax were observed among anterior mediastinal cysts (P < 0.001, vs. thymomas and thymic carcinomas), thymomas (P = 0.032, vs. thymic carcinomas) and thymic carcinomas. Regarding the MRI findings, anterior mediastinal cysts showed higher T2WI signal intensity (P = 0.004 vs. thymomas and P = 0.042 vs. thymic carcinomas) and thymic carcinomas tended to show ill-defined contours (P = 0.024 vs. anterior mediastinal cysts and P = 0.036 vs. thymomas). SUVmax was also significantly higher in small thymic tumors than small anterior mediastinal cysts without very high T2WI signal intensity (P = 0.003). CONCLUSION 18F-FDG PET/MRI is clinically useful in differentiating anterior mediastinal lesions, including those smaller than 3 cm.
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Affiliation(s)
- Haruto Sugawara
- Department of Diagnostic Radiology, National Cancer Center Hospital
- Department of Radiology, Research Hospital, The Institute of Medical Science, The University of Tokyo
| | - Kimiteru Ito
- Department of Diagnostic Radiology, National Cancer Center Hospital
| | | | - Takahiro Morita
- Department of Diagnostic Radiology, National Cancer Center Hospital
| | - Yasushi Yatabe
- Department of Diagnostic Pathology, National Cancer Center Hospital
| | - Shun-Ichi Watanabe
- Department of Thoracic Surgery, National Cancer Center Hospital, Tokyo, Japan
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19
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Minervini F, Boschetti L, Gregor M, Provencio M, Calvo V, Kestenholz PB, Lampridis S, Patrini D, Bertoglio P, Azenha LF, Sergi CM, Kocher GJ. Thymic tumours: a single center surgical experience and literature review on the current diagnosis and management of thymic malignancies. Gland Surg 2021; 10:3128-3140. [PMID: 34926228 PMCID: PMC8637068 DOI: 10.21037/gs-21-517] [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: 08/04/2021] [Accepted: 10/07/2021] [Indexed: 08/10/2024]
Abstract
OBJECTIVE This study aimed to provide an extensive overview of clinical and pathological findings along with various therapeutic options analyzing in addiction, retrospectively, the surgical outcomes of a single center cohort. BACKGROUND Thymic neoplasms are rare thoracic tumors which commonly are located in the anterior mediastinum and are associated with a wide spectrum of clinical presentations. They may run an indolent course or could present a very aggressive biologic progression with infiltration of mediastinal structures and presence of distant metastases. The pathogenesis of these tumors is so far not completely clear. Several treatment modalities in a multidisciplinary setting have to be considered in order to provide the best treatment for patients affected by thymic tumors. METHODS We conducted a retrospective cohort analysis of all patients who underwent surgery due to thymic tumor in a university hospital located in Switzerland (Bern University Hospital) and then we performed a narrative review of the English literature using PubMed, Embase, Cochrane Database of Systematic Reviews and Scopus. CONCLUSIONS Minimally invasive techniques play an important role in the treatment of thymic tumors. A careful patients selection in a multidisciplinary setting is mandatory in order to offer the best treatment for patients affected by thymic tumors.
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Affiliation(s)
- Fabrizio Minervini
- Department of Thoracic Surgery, Cantonal Hospital Lucerne, Lucerne, Switzerland
| | - Laura Boschetti
- Department of Hematology, Cantonal Hospital Lucerne, Lucerne, Switzerland
| | - Michael Gregor
- Department of Hematology, Cantonal Hospital Lucerne, Lucerne, Switzerland
| | - Mariano Provencio
- Department of Medical Oncology, Hospital Universitario Puerta de Hierro-Majadahonda, Madrid, Spain
| | - Virginia Calvo
- Department of Medical Oncology, Hospital Universitario Puerta de Hierro-Majadahonda, Madrid, Spain
| | - Peter B. Kestenholz
- Department of Thoracic Surgery, Cantonal Hospital Lucerne, Lucerne, Switzerland
| | - Savvas Lampridis
- Department of Thoracic Surgery, 424 General Military Hospital, Thessaloniki, Greece
| | - Davide Patrini
- Department of Thoracic Surgery, University College London Hospitals, London, UK
| | - Pietro Bertoglio
- Division of Thoracic Surgery, IRCSS Azienda Ospedaliero-Universitaria, Bologna, Italy
| | - L. Filipe Azenha
- Department of Thoracic Surgery, Cantonal Hospital Lucerne, Lucerne, Switzerland
| | - Consolato M. Sergi
- Division of Anatomic Pathology, Children’s Hospital of Eastern Ontario, University of Ottawa, Ontario, Canada
| | - Gregor J. Kocher
- Division of Thoracic Surgery, Bern University Hospital, University of Bern, Bern, Switzerland
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20
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Diagnostic and prognostic value of FDG PET-CT in patients with suspected recurrent thymic epithelial tumors. Sci Rep 2021; 11:20521. [PMID: 34654842 PMCID: PMC8519930 DOI: 10.1038/s41598-021-00003-4] [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: 03/17/2021] [Accepted: 10/05/2021] [Indexed: 11/09/2022] Open
Abstract
This study aimed to evaluate the diagnostic and prognostic value of FDG PET/CT in patients with suspected recurrent thymic epithelial tumors (TETs). We retrospectively reviewed 83 patients with histopathologically proven TETs (50 thymomas; 33 thymic carcinomas) who underwent FDG PET/CT after surgery. The sensitivity and specificity of FDG PET/CT in detecting recurrence were calculated. The progression-free survival rate (PFS) was calculated by the Kaplan-Meier method. FDG PET/CT results were positive in 50 patients and negative in 33. Recurrent TETs were confirmed in 40 of 50 patients with positive PET/CT findings. The sensitivity and specificity of FDG PET/CT were 100% and 76.7%, respectively. Disease progression occurred in 28 patients during the follow-up. FDG PET/CT showed added prognostic value over the Masaoka stage and histopathology. Among patients with the same Masaoka stage, negative PET/CT was significantly associated with better PFS (P < 0.001). Similarly, among patients with the same histopathology, negative PET/CT was also associated with a significantly longer PFS (P < 0.001). FDG PET/CT demonstrated a good diagnostic performance in patients with recurrent TETs and had an important prognostic value in assessing the risk of disease progression.
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21
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Murad V, Kim EE. 18F-FDG PET/CT Evaluation of Thymomas: a Pictorial Review. Nucl Med Mol Imaging 2021; 55:186-193. [PMID: 34422129 DOI: 10.1007/s13139-021-00705-7] [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: 03/24/2021] [Revised: 05/31/2021] [Accepted: 06/14/2021] [Indexed: 11/25/2022] Open
Abstract
The World Health Organization classification divides thymomas according to morphology, epithelial component, and cell atypia. They are grouped into 3 large subgroups: low-risk thymomas (types A, AB, and B1), high-risk thymomas (types B2 and B3), and thymic carcinomas. Tumor subtype represents an independent prognostic factor, which determines therapeutic decision. All thymomas show some degree of 18F-FDG uptake, which tends to increase with the grade of malignancy; this is related to glucose transporter 1 (GLUT1) expression. This review collects all types of thymomas with illustrative images and provides a guide to get familiar with histological characteristics of the lesions and have them in mind because, even imaging findings can overlap among subtypes, certain characteristics can be combined to make an accurate diagnosis based on 18F-FDG PET-CT findings.
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Affiliation(s)
- Vanessa Murad
- Department of Nuclear Medicine, Seoul National University Hospital, 101, Daehak-ro Jongno-gu, Seoul, 03080 South Korea.,Department of Diagnostic Imaging, Fundacion Santa Fe de Bogota University Hospital, Bogota, Colombia
| | - E Edmund Kim
- Department of Nuclear Medicine, Seoul National University Hospital, 101, Daehak-ro Jongno-gu, Seoul, 03080 South Korea.,Department of Radiological Sciences, University of California Medical Center, Irvine, CA USA.,Department of Medical Oncology, Kyunghee University Medical Center, Seoul, South Korea
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22
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Gentili F, Monteleone I, Mazzei FG, Luzzi L, Del Roscio D, Guerrini S, Volterrani L, Mazzei MA. Advancement in Diagnostic Imaging of Thymic Tumors. Cancers (Basel) 2021; 13:cancers13143599. [PMID: 34298812 PMCID: PMC8303549 DOI: 10.3390/cancers13143599] [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] [Received: 05/31/2021] [Revised: 07/13/2021] [Accepted: 07/16/2021] [Indexed: 01/25/2023] Open
Abstract
Simple Summary Diagnostic imaging is pivotal for the diagnosis and staging of thymic tumors. It is important to distinguish thymoma and other tumor histotypes amenable to surgery from lymphoma. Furthermore, in cases of thymoma, it is necessary to differentiate between early and advanced disease before surgery since patients with locally advanced tumors require neoadjuvant chemotherapy for improving survival. This review aims to provide to radiologists a full spectrum of findings of thymic neoplasms using traditional and innovative imaging modalities. Abstract Thymic tumors are rare neoplasms even if they are the most common primary neoplasm of the anterior mediastinum. In the era of advanced imaging modalities, such as functional MRI, dual-energy CT, perfusion CT and radiomics, it is possible to improve characterization of thymic epithelial tumors and other mediastinal tumors, assessment of tumor invasion into adjacent structures and detection of secondary lymph nodes and metastases. This review aims to illustrate the actual state of the art in diagnostic imaging of thymic lesions, describing imaging findings of thymoma and differential diagnosis.
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Affiliation(s)
- Francesco Gentili
- Unit of Diagnostic Imaging, Department of Radiological Sciences, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy; (F.G.M.); (S.G.)
- Correspondence:
| | - Ilaria Monteleone
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy; (I.M.); (D.D.R.); (L.V.); (M.A.M.)
| | - Francesco Giuseppe Mazzei
- Unit of Diagnostic Imaging, Department of Radiological Sciences, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy; (F.G.M.); (S.G.)
| | - Luca Luzzi
- Thoracic Surgery Unit, Department of Medical, Surgical and Neuro Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy;
| | - Davide Del Roscio
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy; (I.M.); (D.D.R.); (L.V.); (M.A.M.)
| | - Susanna Guerrini
- Unit of Diagnostic Imaging, Department of Radiological Sciences, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy; (F.G.M.); (S.G.)
| | - Luca Volterrani
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy; (I.M.); (D.D.R.); (L.V.); (M.A.M.)
| | - Maria Antonietta Mazzei
- Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy; (I.M.); (D.D.R.); (L.V.); (M.A.M.)
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23
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Stachowicz-Stencel T, Synakiewicz A, Cornet M, Ferrari A, Garassino M, Masip JR, Julien R, Virgone C, Schneider DT, Brecht IB, Ben-Ami T, Bien E, Reguerre Y, Godzinski J, Bisogno G, Orbach D, Sarnacki S. Thymoma and thymic carcinoma in children and adolescents: The EXPeRT/PARTNER diagnostic and therapeutic recommendations. Pediatr Blood Cancer 2021; 68 Suppl 4:e29042. [PMID: 33881200 DOI: 10.1002/pbc.29042] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 03/15/2021] [Accepted: 03/16/2021] [Indexed: 12/13/2022]
Abstract
Thymic tumors are epithelial tumors arising from the anterior mediastinum and constitute 0.2-1.5% of all adult malignancies but are exceptional in pediatric population. Thymic epithelial tumors (TETs) encompass a variety of histologic subtypes associated with different clinical outcomes. Due to its rarity in children, TETs' management requires a multidisciplinary approach. However, prognosis remains still poor, especially among patients with thymic carcinoma. This study presents the internationally recognized recommendations for the diagnosis and treatment of thymic tumors in children and adolescents, established by the European Cooperative Study Group for Pediatric Rare Tumors (EXPeRT) group within the EU-funded project Paediatric Rare Tumours Network - European Registry (PARTNER).
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Affiliation(s)
| | - Anna Synakiewicz
- Department of Pediatrics, Hematology and Oncology, Medical University, Gdansk, Poland
| | - Marianna Cornet
- Department of Pediatric Surgery, Hôpital Necker-Enfants Malades, Université de Paris, Paris, France
| | - Andrea Ferrari
- Paediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Marina Garassino
- Thoraco-Pulmonary Medical Oncology Unit, Medical Oncology and Hematology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Rod Julien
- Department of Pediatric Surgery, University of Caen Hospital, Caen, France
| | - Calogero Virgone
- Pediatric Surgery, Department of Women's and Children's Health, University of Padua, Padua, Italy
| | | | - Ines B Brecht
- Pediatric Oncology and Hematology, Children's Hospital, Eberhard-Karls-Universitaet, Tuebingen, Germany
| | - Tal Ben-Ami
- Pediatric Hematology Unit, Kaplan Medical Center, Rehovot, Israel
| | - Ewa Bien
- Department of Pediatrics, Hematology and Oncology, Medical University, Gdansk, Poland
| | - Yves Reguerre
- Department of Pediatric Hematology and Oncology, Félix Guyon University Hospital, Réunion Island, Saint-Denis, France
| | - Jan Godzinski
- Department of Pediatric Surgery, Marciniak Hospital, Wroclaw, Poland.,Department of Pediatric Traumatology and Emergency Medicine, Wroclaw Medical University, Wroclaw, Poland
| | - Gianni Bisogno
- Hematology and Oncology Division, Department for Women's and Children's Health, Padua University, Padua, Italy
| | - Daniel Orbach
- SIREDO Oncology Center (Care, Innovation and Research for Children, Adolescents and Young Adults with Cancer), Institut Curie, PSL University, Paris, France
| | - Sabine Sarnacki
- Department of Pediatric Surgery, Hôpital Necker-Enfants Malades, Université de Paris, Paris, France
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24
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Clermidy H, Maury JM, Collaud S, Drevet G, Ginoux M, Chalabreysse L, Mornex F, Girard N, Tronc F. Lymph Node Dissection in Thymoma: Is it worth it? Lung Cancer 2021; 157:156-162. [PMID: 34053783 DOI: 10.1016/j.lungcan.2021.05.022] [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: 03/11/2021] [Revised: 05/12/2021] [Accepted: 05/18/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVES Lymph node dissection (LND) and nodal metastases in thymomas remain controversial and understudied. The aim of our study was to evaluate the incidence of nodal metastasis and the short term outcomes of systematic LND in thymomas. MATERIAL AND METHODS From December 2017 to September 2020, we performed 54 LND conducted according to the International Thymic Malignancy Interest Group (ITMIG) lymph node map. This group was compared to a historical control group of 55 patients who underwent surgery in our center from January 2015 to November 2017. RESULTS LND was performed in 72 % and in 5 % of the cases in the study cohort group and historical control group, respectively. The number of lymph nodes retrieved was significantly higher in the study cohort group (3.89 per patient vs. 1.62, p = 0.0021). In the whole population studied, nodal metastases were found in 3 patients (2.8 % of all patients) with 5.6 % in the cohort study group vs. 0 % in the control group (p = 0.12). Patients with nodal metastasis had larger tumors (> 7 cm), and a higher histology grade (B2 and B3). There was a trend towards higher risk of laryngeal nerve palsy in the cohort study group (9.3 % vs. 1.8 %, p = 0.11). CONCLUSION Systematic LND increases the number of lymph node harvested and detects more lymph node metastases, which remains infrequent in thymomas. The impact of LND and the true prognostic significance of lymph node metastases remains controversial. Given the potential complications, LND or sampling should not be perfomed in small, encapsulated and low grade thymomas.
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Affiliation(s)
- Hugo Clermidy
- Department of Thoracic Surgery, Lung and Heart-Lung Transplantation, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France
| | - Jean-Michel Maury
- Department of Thoracic Surgery, Lung and Heart-Lung Transplantation, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France; National Expert Center for Thymic Malignancies, Réseau Tumeurs THYMiques et Cancer (RYTHMIC), Lyon, France; IVPC, UMR 754, INRA, Univ Lyon1, Claude Bernard Lyon 1 University, EPHE, Lyon, France.
| | - Stéphane Collaud
- Department of Thoracic Surgery, Lung and Heart-Lung Transplantation, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France; Department of Thoracic Surgery, Ruhrlandklinik, University of Duisburg-Essen, Essen, Germany
| | - Gabrielle Drevet
- Department of Thoracic Surgery, Lung and Heart-Lung Transplantation, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France
| | - Marylise Ginoux
- Department of Respiratory Medicine, National Expert Centre for Thymic Malignancies, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France; National Expert Center for Thymic Malignancies, Réseau Tumeurs THYMiques et Cancer (RYTHMIC), Lyon, France
| | - Lara Chalabreysse
- Department of Pathology, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France; National Expert Center for Thymic Malignancies, Réseau Tumeurs THYMiques et Cancer (RYTHMIC), Lyon, France
| | - Françoise Mornex
- Department of Cancerology and Radiotherapy, Lyon Sud Hospital, Hospices Civils de Lyon, Lyon, France
| | - Nicolas Girard
- Institute Curie, Institut du Thorax Curie Montsouris, Paris, France; National Expert Center for Thymic Malignancies, Réseau Tumeurs THYMiques et Cancer (RYTHMIC), Lyon, France
| | - François Tronc
- Department of Thoracic Surgery, Lung and Heart-Lung Transplantation, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France; National Expert Center for Thymic Malignancies, Réseau Tumeurs THYMiques et Cancer (RYTHMIC), Lyon, France
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25
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Thomas de Montpreville V, Mansuet-Lupo A, Le Naoures C, Chalabreysse L, De Muret A, Hofman V, Rouquette I, Piton N, Dubois R, Benitez JC, Girard N, Besse B, Marx A, Molina TJ. Micronodular thymic carcinoma with lymphoid hyperplasia: relevance of immunohistochemistry with a small panel of antibodies for diagnosis-a RYTHMIC study. Virchows Arch 2021; 479:741-746. [PMID: 33629132 DOI: 10.1007/s00428-021-03044-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Revised: 01/16/2021] [Accepted: 01/24/2021] [Indexed: 01/05/2023]
Abstract
Micronodular thymic carcinoma with lymphoid hyperplasia (MNTCLH) is a rare form of thymic carcinoma. We present the experience of RYTHMIC, the French national network devoted to the treatment of thymic epithelial tumors through multidisciplinary tumor boards with a review of all tumors by pathologists for classification and staging. Six cases of MNTCLH were diagnosed during a review of 1007 thymic epithelial tumors. Histologically, epithelial cells with atypia and mitoses formed micronodules that were surrounded by an abundant lymphoid background with follicles. There was neither obvious fibro-inflammatory stroma nor necrosis. Spindle cells areas were common. Initial diagnosis was micronodular thymoma in two cases, cellular atypia being overlooked, eclipsed by the micronodular pattern. Immunohistochemistry with a panel of five antibodies showed that cytokeratins (AE1-AE3) and p63-positive epithelial cells also expressed CD5 and that there was no TdT-positive cells within the tumors. CD20 highlighted the lymphoid hyperplasia. Additionally epithelial cells also expressed CD117 and diffusely Glut 1. Twenty-seven micronodular thymomas with lymphoid stroma diagnosed during the same period did not show the CD5 and CD117 positivities seen in MNTCLH and contained TdT-positive lymphocytes. Three of the 6 patients with MNTCLH had adjuvant radiotherapy. Three patients with follow-up information were alive without recurrence at 38, 51, and 95 months. Our study shows that immunohistochemistry, such as that used in the RYTHMIC network with a small panel of antibodies, may easily help to confirm the correct diagnosis of MNTCLH, a rare and low-aggressive form of thymic carcinoma, and avoid the misdiagnosis of micronodular thymoma.
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Affiliation(s)
- Vincent Thomas de Montpreville
- Department of Pathology, Marie Lannelongue Hospital, Hôpital Marie Lannelongue, 133 avenue de la Résistance, 92350, Le Plessis Robinson, France.
| | | | | | | | - Anne De Muret
- Département de Pathologie, CHU de Tours, Tours, France
| | - Véronique Hofman
- Hôpital Pasteur, Laboratoire de Pathologie Clinique et Expérimentale, CHU de Nice, Nice, France
| | | | - Nicolas Piton
- Département de Pathologie, CHU de Rouen, Rouen, France
| | - Romain Dubois
- Département de Pathologie, CHU de Lille, Lille, France
| | | | | | - Benjamin Besse
- Département de Médecine, Institut Gustave Roussy, Villejuif, France
| | - Alexander Marx
- Institute of Pathology, University Medical Centre Mannheim, Mannheim, Germany
| | - Thierry Jo Molina
- Department of Pathology, AP-HP.5, University of Paris, Paris, France
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26
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Benveniste MFK, Betancourt Cuellar SL, Carter BW, Strange CD, Marom EM. Thymic Epithelial Neoplasms: Tumor-Node-Metastasis Staging. Radiol Clin North Am 2021; 59:183-192. [PMID: 33551080 DOI: 10.1016/j.rcl.2020.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Thymic epithelial neoplasms are a group of malignant tumors that includes thymoma, thymic carcinoma, and thymic neuroendocrine tumors. Although several staging systems have been developed over the years for use with these cancers, they have been interpreted and implemented in a nonuniform manner. Recently, the International Association for the study of Lung Cancer and the International Thymic Malignancy Interest Group developed a tumor-node-metastasis staging system that has been universally accepted and correlates with patient survival and outcomes. Although pathologic staging is determined by histologic examination of the resected tumor, imaging plays an important role in clinical staging and is important for informing therapeutic decisions.
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Affiliation(s)
- Marcelo F K Benveniste
- Division of Diagnostic Imaging, MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 1478, Houston, TX 77030, USA.
| | - Sonia L Betancourt Cuellar
- Division of Diagnostic Imaging, MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 1478, Houston, TX 77030, USA
| | - Brett W Carter
- Department of Thoracic Imaging, MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 1478, Houston, TX 77030, USA
| | - Chad D Strange
- Division of Diagnostic Imaging, MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 1478, Houston, TX 77030, USA
| | - Edith M Marom
- Department of Diagnostic Radiology, The Chaim Sheba Medical Center, Affiliated with the Tel Aviv University, Tel Aviv, 2 Derech Sheba, Ramat Gan 5265601, Israel
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27
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Prognostic Significance of Metabolic Parameters by 18F-FDG PET/CT in Thymic Epithelial Tumors. Cancers (Basel) 2021; 13:cancers13040712. [PMID: 33572388 PMCID: PMC7916204 DOI: 10.3390/cancers13040712] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 02/05/2021] [Accepted: 02/06/2021] [Indexed: 12/22/2022] Open
Abstract
Simple Summary Thymic epithelial tumors have variable prognoses that depend on histological subtype, and 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) currently plays an important part in oncology images. Thus, we prosecuted a retrospective review of data from 83 patients with thymic epithelial tumors who underwent pretreatment 18F-FDG PET/CT and investigated the prognostic significance along with WHO classification, Masaoka stage, and volumetric 18F-PET parameters. Masaoka stage, histologic type, treatment modality, maximum standardized uptake values (SUVmax), average standardized uptake values (SUVavg), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were significant prognostic factors for time-to-progression on univariate survival analysis. On multivariate analysis, SUVavg and Masaoka stage were important independent prognostic factors for progression-free survival in thymic epithelial tumors. Abstract Background: Imaging tumor FDG avidity could complement prognostic implication in thymic epithelial tumors. We thus investigated the prognostic value of volume-based 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/CT parameters in thymic epithelial tumors with other clinical prognostic factors. Methods: This is a retrospective study that included 83 patients who were diagnosed with thymic epithelial tumors and underwent pretreatment 18F-FDG PET/CT. PET parameters, including maximum and average standardized uptake values (SUVmax, SUVavg), metabolic tumor volume (MTV), and total lesion glycolysis (TLG), were measured with a threshold of SUV 2.5. Univariate and multivariate analysis of PET parameters and clinicopathologic variables for time-to-progression was performed by using a Cox proportional hazard regression model. Results: There were 21 low-risk thymomas (25.3%), 27 high-risk thymomas (32.5%), and 35 thymic carcinomas (42.2%). Recurrence or disease progression occurred in 24 patients (28.9%). On univariate analysis, Masaoka stage (p < 0.001); histologic types (p = 0.009); treatment modality (p = 0.001); and SUVmax, SUVavg, MTV, and TLG (all p < 0.001) were significant prognostic factors. SUVavg (p < 0.001) and Masaoka stage (p = 0.001) were independent prognostic factors on multivariate analysis. Conclusion: SUVavg and Masaoka stage are independent prognostic factors in thymic epithelial tumors.
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28
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Thymic Epithelial Neoplasms: Radiologic-Pathologic Correlation. Radiol Clin North Am 2021; 59:169-182. [PMID: 33551079 DOI: 10.1016/j.rcl.2020.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Thymic epithelial neoplasms, as classified by the World Health Organization, include thymoma, thymic carcinoma, and thymic carcinoid. They are a rare group of tumors and are often diagnosed incidentally in the work-up of parathymic syndrome, such as myasthenia gravis, or when mass effect or local invasion causes other symptoms. In each of these scenarios, understanding the radiologic-pathologic relationship of these tumors allows clinical imagers to contribute meaningfully to management decisions and overall patient care. Integrating important imaging features, such as local invasion, and pathologic features, such as necrosis and immunohistochemistry, ensures a meaningful contribution by clinical imagers to the care team.
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29
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Abstract
Thymoma is the commonest epithelial neoplasm arising from thymus gland. Tumour is slow growing and in the absence of metastasis, surgery is the treatment of choice. Complete resection and bland morphology are important prognostic features. However, a significant proportion of these tumours tend to recur. These recurrent tumours, advanced thymomas and thymic carcinomas require platinum-based combination chemotherapy and radiotherapy. Efforts are being made to explore additional treatment modalities to control disease with the aim of improving survival. Number of thymoma cases worldwide is small in comparison to lung cancers. As a result, fewer studies have been carried out to enhance our understanding of molecular events responsible for the initiation, maintenance, and progression of thymomas. Inspite of this there are advances in understanding the pathology of thymic epithelial neoplasms including genetics, PD-L1 and molecular testing which has bearing on the prognosis, post-surgical management, and testing algorithm. Similar to pulmonary pathology, thymic epithelial tumours will require adequate tumour sampling to carry out ancillary testing. Mutational analytical tests include EGFR, RAS, BRAF, RET, AKT1, PIK3CA and T53 genes. If adequate sample is available (upto100 cells), PD-L1 testing should be considered for immunotherapy in recurrent/ advanced thymomas and thymic carcinomas. This list is likely to expand in future with increasing emphasis on molecular testing to support treatment with newer therapies.
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Affiliation(s)
- Irshad Nabi Soomro
- Department of Histopathology, Nottingham University Hospital, Nottingham, UK
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Mikail N, Khalil A, Rouzet F. Mediastinal Masses: 18F-FDG-PET/CT Features Based on the International Thymic Malignancy Interest Group Classification. Semin Nucl Med 2020; 51:79-97. [PMID: 33246542 DOI: 10.1053/j.semnuclmed.2020.07.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Imaging plays a key role in the management of mediastinal masses. In an effort to standardize the analysis of the mediastinum, the International Thymic Malignancy Interest Group (ITMIG) has proposed a three compartments-based diagnostic classification, intended for clinicians and radiologists. Several articles have documented its usefulness to guide the diagnosis using cross-sectional imaging. Similarly, fluorine-18-radiolabeled fluorodeoxyglucose positron emission tomography combined to computed tomography (18F-FDG-PET/CT) can be useful in this setting, either as a first-line diagnostic technique, or in addition to cross-sectional imaging. In this article, which is thought as an aid for nuclear medicine physicians and radiologists, we aim to present, based on the ITMIG classification, the main mediastinal pathologies that can be observed with 18F-FDG-PET/CT, and the additional diagnostic value that can be expected from this technique. For this purpose, we segmented the mediastinum according to the ITMIG classification, and reviewed the available literature for each of the corresponding organs and/or disease. Given the importance of the clinical context for the interpretation of PET imaging, we presented each of the diseases according to: (1) their suggestive clinical context; (2) the suggestive features on nonenhanced CT (which is the standard in PET imaging); and (3) the typical 18F-FDG characteristics. The purpose of this article is to depict the main features of the most common mediastinal diseases that can be encountered with 18F-FDG-PET/CT, and to highlight its diagnostic value in this setting, alone or in combination with other imaging modalities.
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Affiliation(s)
- Nidaa Mikail
- Department of nuclear medicine, Bichat universitary hospital, Paris, France.
| | - Antoine Khalil
- Department of radiology, Bichat universitary hospital, Paris, France
| | - François Rouzet
- Department of nuclear medicine, Bichat universitary hospital, Paris, France
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18F-FDG-PET/CT predicts grade of malignancy and invasive potential of thymic epithelial tumors. Gen Thorac Cardiovasc Surg 2020; 69:274-281. [PMID: 32734427 DOI: 10.1007/s11748-020-01439-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 07/07/2020] [Indexed: 10/23/2022]
Abstract
PURPOSE The aim of this study was to evaluate the ability of fluorine-18-fluorodeoxyglucose positron emission tomography coupled with computed tomography (18F-FDG-PET/CT) to predict the WHO malignancy grade, initial staging, and invasive potential of thymic epithelial tumors. METHODS We retrospectively reviewed the medical records of 56 patients with thymic epithelial tumors who were evaluated by PET/CT before surgery and underwent surgical resection. We analyzed the relationship of the maximum standardized uptake value (SUVmax) with the WHO histological classification, tumor invasion, TNM classification, and the Masaoka-Koga classification. RESULTS There were differences of SUVmax of the FDG-PET between thymic carcinoma (9.09 ± 3.34) and thymoma (4.86 ± 2.45; p < 0.01), thymic carcinoma (9.09 ± 3.34) and high-grade thymoma (6.01 ± 2.78; p < 0.01), and high-grade thymoma (6.01 ± 2.78) and low-grade thymoma (4.06 ± 1.86; p < 0.01). The cut-off value for the SUVmax was 7.40 and 5.40, and the sensitivity/specificity for predicting the histologic subtype of each group was 0.72/0.79 and 0.61/0.85, respectively. According to T classification, SUVmax was significantly higher in T3 (8.31 ± 2.57) than in T1a (4.45 ± 2.06; p < 0.01). Regarding Masaoka-Koga classification and WHO histological classification, a significantly higher SUVmax was detected in patients with stage III and IV disease than in those with stage I and II diseases (p < 0.01). The cut-off value for SUVmax was 5.40 in Masaoka-Koga stage and 5.60 in the WHO classification; the sensitivity/specificity for predicting the histologic subtype was 0.85/0.80 and 0.89/0.78, respectively. CONCLUSIONS FDG-PET is a useful tool to predict aggressiveness of thymic epithelial tumors.
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Hamaji M, Koyasu S, Omasa M, Nakakura A, Morita S, Nakagawa T, Miyahara S, Miyata R, Yokoyama Y, Kawakami K, Suga M, Takahashi M, Terada Y, Muranishi Y, Miyahara R, Sumitomo R, Huang CL, Aoyama A, Takahashi Y, Date H. Are volume-dependent parameters in positron emission tomography predictive of postoperative recurrence after resection in patients with thymic carcinoma? Surg Today 2020; 51:322-326. [PMID: 32535710 DOI: 10.1007/s00595-020-02045-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Accepted: 06/02/2020] [Indexed: 10/24/2022]
Abstract
This study aimed to investigate the association between the volume-dependent parameters in 18F-fluorodeoxyglucose-positron emission tomography (18F-FDG PET/CT) and a recurrence of thymic carcinoma. A retrospective chart review was performed based on our multi-institutional database to identify patients undergoing PET prior to resection of thymic carcinoma or neuroendocrine carcinoma between 1991 and 2018. The PET parameters (metabolic tumor volume and total lesion glycolysis) were evaluated retrospectively. The relevant factors were extracted and a survival analysis was performed using the Kaplan-Meier method. Sixteen patients were thus deemed to be eligible for analysis. The median follow-up period following resection was 2.65 years (range: 0.96-0.68 years). The recurrence-free survival was significantly longer in patients with a metabolic tumor volume < = 22.755 cm3 and with total lesion glycolysis < = 105.4006 g/mL (p = 0.001 and 0.001, respectively, by a log-rank test). The metabolic tumor volume and total lesion glycolysis may, therefore, be predictive of the postoperative recurrence of thymic carcinoma.
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Affiliation(s)
- Masatsugu Hamaji
- Department of Thoracic Surgery, Kyoto University Hospital, 54 Kawahara-cho, Sakyo-ku, Kyoto, 604-0984, Japan.
| | - Sho Koyasu
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Hospital, Kyoto, Japan
| | - Mitsugu Omasa
- Department of Thoracic Surgery, Nishi Kobe Medical Center, Kobe, Japan
| | - Akiyoshi Nakakura
- Department of Biomedical Statistics and Bioinformatics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Satoshi Morita
- Department of Biomedical Statistics and Bioinformatics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tatsuo Nakagawa
- Department of Thoracic Surgery, Tenri Hospital, Embu, Tenri, Japan
| | - So Miyahara
- Department of Thoracic Surgery, Fukuoka University Hospital, Fukuoka, Japan
| | - Ryo Miyata
- Department of Thoracic Surgery, Kyoto University Hospital, 54 Kawahara-cho, Sakyo-ku, Kyoto, 604-0984, Japan
| | - Yuhei Yokoyama
- Department of Thoracic Surgery, Kyoto University Hospital, 54 Kawahara-cho, Sakyo-ku, Kyoto, 604-0984, Japan
| | - Kenzo Kawakami
- Department of Thoracic Surgery, Shiga General Hospital, Moriyama, Japan
| | - Michiharu Suga
- Department of Thoracic Surgery, Takatsuki Red Cross Hospital, Takatsuki, Japan
| | - Mamoru Takahashi
- Department of Thoracic Surgery, Kyoto-Katsura Hospital, Kyoto, 615-8256, Japan
| | - Yasuji Terada
- Department of Thoracic Surgery, Kyoto-Katsura Hospital, Kyoto, 615-8256, Japan
| | - Yusuke Muranishi
- Department of Thoracic Surgery, Kyoto City Hospital, Kyoto, Japan
| | - Ryo Miyahara
- Department of Thoracic Surgery, Kyoto City Hospital, Kyoto, Japan
| | - Ryota Sumitomo
- Department of Thoracic Surgery, Kitano Hospital, Osaka, Japan
| | | | - Akihiro Aoyama
- Department of General Thoracic Surgery, Kobe City Medical Centre General Hospital, Kobe, Japan
| | - Yutaka Takahashi
- Department of General Thoracic Surgery, Kobe City Medical Centre General Hospital, Kobe, Japan
| | - Hiroshi Date
- Department of Thoracic Surgery, Kyoto University Hospital, 54 Kawahara-cho, Sakyo-ku, Kyoto, 604-0984, Japan
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Zhu L, Li X, Wang J, Fu Q, Liu J, Ma W, Xu W, Chen W. Value of metabolic parameters in distinguishing primary mediastinal lymphomas from thymic epithelial tumors. Cancer Biol Med 2020; 17:468-477. [PMID: 32587782 PMCID: PMC7309468 DOI: 10.20892/j.issn.2095-3941.2019.0428] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 03/27/2020] [Indexed: 11/29/2022] Open
Abstract
Objective: A high rate of unnecessary thymectomies has been reported. This study aimed to distinguish primary mediastinal lymphomas (PMLs) from thymic epithelial tumors (TETs) by evaluating volumetric and metabolic parameters with 18F-FDG PET/CT. Methods: A total of 136 patients who were pathologically diagnosed with TETs or PMLs were enrolled, and 18F-FDG PET/CT was performed before therapy. Volumetric parameters, including the mean SUV (SUVmean), metabolic tumor volume (MTV), total lesion glycolysis (TLG), and SUVmax, were determined and compared between the 2 subtypes. The diagnostic performance of these parameters was evaluated with receiver operating characteristic (ROC) curve analysis. Results: All parameters significantly differed between patients with PMLs and TETs. Patients with lymphomas were younger and had higher SUVmean, SUVmax, TLG, and MTV values than patients with TETs. The MTV and TLG values had similar diagnostic performance. ROC analysis indicated that the areas under the curves of the SUVmean and SUVmax values performed similarly (approximately 0.76) in differentiating patients with PMLs from TETs, and both values were better than the MTV and TLG values. When age was included with the SUVmax in differentiating TETs from PMLs, the AUC was 0.91, and the sensitivity and specificity increased to 80% and 93%, respectively. Conclusions: The SUVmax and volumetric parameters of 18F-FDG PET/CT can be used to distinguish patients with PMLs versus TETs, and thus may aid in preventing unnecessary thymectomies or other invasive operations.
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Affiliation(s)
- Lei Zhu
- Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Xiaofeng Li
- Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Jian Wang
- Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Qiang Fu
- Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Jianjing Liu
- Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Wenchao Ma
- Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Wengui Xu
- Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Wei Chen
- Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
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Yajima T, Mogi A, Shimizu K, Kosaka T, Ohtaki Y, Obayashi K, Nakazawa S, Nakajima T, Tsushima Y, Shirabe K. Quantitative analysis of metabolic parameters at 18F-fluorodeoxyglucose positron emission tomography in predicting malignant potential of anterior mediastinal tumors. Oncol Lett 2020; 19:1865-1871. [PMID: 32194681 PMCID: PMC7038926 DOI: 10.3892/ol.2020.11276] [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] [Received: 03/30/2019] [Accepted: 10/07/2019] [Indexed: 02/02/2023] Open
Abstract
To evaluate the utility of 18F-fluorodeoxyglucose (FDG)-positron emission tomography (PET) for predicting the malignancy of anterior mediastinal tumors, the present study retrospectively examined a total of 105 consecutive patients who underwent surgical resection of anterior mediastinal tumors at Gunma University Hospital after undergoing a preoperative FDG-PET scan. Patients were divided into benign and malignant groups in accordance with the following three classification systems: i) Clinical classification, benign or malignant (thymoma and carcinoma); ii) recurrence-based classification, low-risk recurrence (benign and low-risk thymoma) or high-risk recurrence (high-risk thymoma and carcinoma); and iii) pathological classification, benign (benign and thymoma) or malignant (carcinoma). The present study analyzed the differences between the benign and malignant groups in terms of FDG-PET parameters, including maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV) and total lesion glycolysis (TLG). The malignant group exhibited a significantly greater SUVmax than the benign group according to all classification systems. By contrast, there was only a slight difference between groups in volume-based metabolic parameters (MTV and TLG) using the clinical classification, and no intergroup differences using the recurrence-based and pathological classifications. The area under the curve in receiver-operating characteristic curve analysis for predicting malignancy was significantly greater for SUVmax than for volume-based metabolic parameters using all classification methods. The respective optimal cut-off value, sensitivity and specificity of SUVmax to predict malignancy were 1.77, 92.0 and 87.0% for the clinical classification, 2.54, 93.6 and 60.3% for the recurrence-based classification, and 5.15, 78.9 and 90.7% for the pathological classification. SUVmax was the most useful parameter for predicting the malignancy of anterior mediastinal tumors.
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Affiliation(s)
- Toshiki Yajima
- Department of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan
| | - Akira Mogi
- Department of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan
| | - Kimihiro Shimizu
- Department of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan
| | - Takayuki Kosaka
- Department of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan
| | - Yoichi Ohtaki
- Department of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan
| | - Kai Obayashi
- Department of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan
| | - Seshiru Nakazawa
- Department of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan
| | - Takahito Nakajima
- Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan
| | - Yoshito Tsushima
- Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan
| | - Ken Shirabe
- Department of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan
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Drevet G, Collaud S, Tronc F, Girard N, Maury JM. Optimal management of thymic malignancies: current perspectives. Cancer Manag Res 2019; 11:6803-6814. [PMID: 31413632 PMCID: PMC6660626 DOI: 10.2147/cmar.s171683] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2019] [Accepted: 06/28/2019] [Indexed: 12/19/2022] Open
Abstract
Thymic epithelial tumors (TETs) belong to orphan oncology. The incidence of TETs is about 1.3–3.2 cases per million worldwide. Following pathology, evolution and prognosis are variable. The World Health Organization classification distinguishes thymomas and thymic carcinomas. TETs are composed of thymic epithelial tumoral cells and normal lymphocytes. The mean age at diagnosis is 50–60 years-old. There are no identified risk factors. TETs are frequently associated with paraneoplastic syndromes as myasthenia gravis. The complete R0 surgical resection is the most significant prognosis factor on survival. In 2010, the French National Institute of Cancer labeled the RYTHMIC network as a specific tumor board including thoracic surgeons, oncologist, and radiation therapist to define standard of care for the management of TETs. The aim of the review was to update knowledge to optimize the standard of care.
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Affiliation(s)
- Gabrielle Drevet
- Department of Thoracic Surgery, Lung and Heart-Lung Transplantation, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France
| | - Stéphane Collaud
- Department of Thoracic Surgery, Lung and Heart-Lung Transplantation, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France
| | - François Tronc
- Department of Thoracic Surgery, Lung and Heart-Lung Transplantation, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France
| | - Nicolas Girard
- Institute Curie, Institut du Thorax Curie Montsouris, 75248, Paris Cedex 05, France.,National Expert Center for Thymic Malignancies, Réseau Tumeurs THYMiques et Cancer (RYTHMIC), Lyon, France
| | - Jean-Michel Maury
- Department of Thoracic Surgery, Lung and Heart-Lung Transplantation, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France.,National Expert Center for Thymic Malignancies, Réseau Tumeurs THYMiques et Cancer (RYTHMIC), Lyon, France.,IVPC UMR754 INRA, Univ Lyon, Université Claude Bernard Lyon 1, EPHE, Lyon, France
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Benveniste MF, Betancourt Cuellar SL, Carter BW, Shroff GS, Wu C, Marom EM. Determining extent of invasion and follow-up of thymic epithelial malignancies. MEDIASTINUM (HONG KONG, CHINA) 2019; 3:29. [PMID: 35118257 PMCID: PMC8794300 DOI: 10.21037/med.2019.06.05] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2019] [Accepted: 06/20/2019] [Indexed: 11/06/2022]
Abstract
Thymic malignancies may exhibit aggressive behavior such as invasion of adjacent structures and involvement of the pleura and pericardium. The role of imaging in the evaluation of primary thymic neoplasms is to properly assess tumor staging, with emphasis on the detection of local invasion and distant spread of disease, correctly identifying candidates for preoperative neoadjuvant therapy. Different imaging modalities are used in the initial investigation of thymic malignancies including chest radiography, computed tomography (CT), magnetic resonance imaging (MRI) and positron emission tomography (PET), in particular with [18F] fluorodeoxyglucose (FDG). At this moment, CT is the most common imaging modality on the assessment of thymic malignancies. MRI has the benefit of no emission of damaging ionizing radiation reducing the radiation dose to the patient when compared with CT. For this reason, MRI has been playing an important role in the evaluation of tumor invasion and follow up imaging studies which becomes even more relevant in young patients or those patients with prior history of radiation therapy.
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Affiliation(s)
- Marcelo F Benveniste
- Department of Diagnostic Radiology, The University of Texas, M. D. Anderson Cancer Center, Houston, TX, USA
| | - Sonia L Betancourt Cuellar
- Department of Diagnostic Radiology, The University of Texas, M. D. Anderson Cancer Center, Houston, TX, USA
| | - Brett W Carter
- Department of Diagnostic Radiology, The University of Texas, M. D. Anderson Cancer Center, Houston, TX, USA
| | - Girish S Shroff
- Department of Diagnostic Radiology, The University of Texas, M. D. Anderson Cancer Center, Houston, TX, USA
| | - Carol Wu
- Department of Diagnostic Radiology, The University of Texas, M. D. Anderson Cancer Center, Houston, TX, USA
| | - Edith M Marom
- Department of Diagnostic Imaging, The Chaim Sheba Medical Center, Ramat Gan, Israel affiliated with the Tel Aviv University, Tel Aviv, Israel
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Yasuda M, Osaki T, Fukuich Y, Kobayashi K, Iwata T, So T. Anterior mediastinal tumor as a solitary lymph node metastasis of occult thyroid carcinoma. J Surg Case Rep 2019; 2019:rjz029. [PMID: 30792843 PMCID: PMC6375056 DOI: 10.1093/jscr/rjz029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Revised: 01/14/2019] [Accepted: 01/27/2019] [Indexed: 11/18/2022] Open
Abstract
Solitary metastasis of occult thyroid carcinoma to the anterior mediastinum is very rare. A 65-year-old woman was examined for anterior mediastinal tumor based on the FDG accumulation on PET. We resected the tumor by video-assisted thoracic surgery. A pathological examination revealed that the tumor was lymph node metastasis of papillary thyroid carcinoma. The postoperative examination showed that the tumor was a solitary lymph node metastasis of occult thyroid carcinoma. Primary thyroid carcinoma has not appeared in 2 years since the surgery, and careful follow-up has been continued.
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Affiliation(s)
- Manabu Yasuda
- Department of Chest Surgery, Iizuka Hospital, Iizuka, Japan
| | | | - Yukiko Fukuich
- Department of Chest Surgery, Iizuka Hospital, Iizuka, Japan
| | | | - Teruo Iwata
- Department of Chest Surgery, Iizuka Hospital, Iizuka, Japan
| | - Tomoko So
- Department of Chest Surgery, Iizuka Hospital, Iizuka, Japan
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White DB, Hora MJ, Jenkins SM, Marks RS, Garces YI, Cassivi SD, Roden AC. Efficacy of chest computed tomography prediction of the pathological TNM stage of thymic epithelial tumours. Eur J Cardiothorac Surg 2019; 56:5316016. [PMID: 30753469 DOI: 10.1093/ejcts/ezz013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Accepted: 01/06/2019] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES The aim of this study is to evaluate the efficacy of chest computed tomography (CT) to predict the pathological stage of thymic epithelial tumours (TET) using the recently introduced tumour, node and metastasis (TNM) staging with comparison to the modified Masaoka staging. METHODS Preoperative chest CT examinations in cases of resected TET with sampled lymph nodes (2006-2016) were retrospectively reviewed by 2 thoracic radiologists and radiologically (r) staged using both staging systems. A thoracic pathologist reviewed all cases for the pathological (p) stage. Concordance between r-staging and p-staging was assessed by % agreement and unweighted kappa statistics. Associations between r-stage and p-stage with outcomes were assessed using the Cox proportional hazards regression. RESULTS Sixty patients with TET were included (47 thymomas, 12 thymic carcinomas and 1 atypical carcinoid tumour). Sixteen patients (26.7%) had received neoadjuvant therapy. Fifty-four patients (90.0%) had complete resection. The overall agreement between the r-stage and p-stage was 66.7% (κ = 0.46) for TNM staging and 46.7% (κ = 0.30) for modified Masaoka staging. Agreement between r-assessment and p-assessment of the T, N and M components of the TNM stage was 61.7% (κ = 0.28), 86.7% (κ = 0.48) and 98.3% (κ = 0.88), respectively. CT overstaged 12 patients (20.0%) for TNM staging and 12 patients (20.0%) for modified Masaoka staging and understaged 8 (13.3%) and 20 (33.3%) patients for TNM staging modified Masaoka staging, respectively. The r-TNM staging accuracy was lower for patients with neoadjuvant therapy (50.0% with vs 72.7% without). During a median follow-up of 2.6 years (range 0.1-10.5 years), 12 patients had metastases and/or recurrence; 11 patients died (4 of disease). The r-TNM stage and modified Masaoka stage were associated with overall survival and progression-free survival (P < 0.001). CONCLUSIONS Preoperative chest CT is able to accurately predict p-TNM stage in two-thirds of surgically resected TET, with an agreement between radiological staging and pathological staging superior to the modified Masaoka staging.
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Affiliation(s)
- Darin B White
- Department of Radiology, Mayo Clinic Rochester, Rochester, MN, USA
| | - Megan J Hora
- Department of Radiology, Mayo Clinic Rochester, Rochester, MN, USA
| | - Sarah M Jenkins
- Department of Health Sciences Research, Mayo Clinic Rochester, Rochester, MN, USA
| | - Randolph S Marks
- Division of Medical Oncology, Department of Oncology, Mayo Clinic Rochester, Rochester, MN, USA
| | - Yolanda I Garces
- Department of Radiation-Oncology, Mayo Clinic Rochester, Rochester, MN, USA
| | - Stephen D Cassivi
- Division of Thoracic Surgery, Department of Surgery, Mayo Clinic Rochester, Rochester, MN, USA
| | - Anja C Roden
- Department of Laboratory Medicine and Pathology, Mayo Clinic Rochester, Rochester, MN, USA
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Sarıhan S, Bayram AS, Gebitekin C, Yerci O, Sıgırlı D. Thymic tumors and results of radiotherapy. Rep Pract Oncol Radiother 2018; 23:97-104. [PMID: 29681772 DOI: 10.1016/j.rpor.2017.12.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2017] [Revised: 10/04/2017] [Accepted: 12/11/2017] [Indexed: 12/25/2022] Open
Abstract
Aim The aim of this study was to evaluate thymic epithelial tumors (TETs) for treatment outcomes and prognostic factors on survival. Background TETs are very rare neoplasms and multidisciplinary approach is recommended according to prognostic factors. Materials and methods Between 1995 and 2013, 31 patients were treated with median 5400 cGy (range: 1620-6596 cGy) radiotherapy (RT). Eleven patients received adjuvant or concurrent chemotherapy. There were 25 thymomas, 4 thymic carcinomas and 2 thymic neuroendocrin carcinomas. According to Masaoka, staging and WHO classification, cases were divided to good (n: 10), moderate (n: 9) and poor (n: 12) prognostic risk groups. Survival was calculated from diagnosis. Results In January 2016, 22 cases were alive with median 51.5 months (range: 2-170.5) follow-up. Recurrences were observed in 29% of patients in median 29.5 months (range: 6.5-105). Local control, mean overall (OS) and disease-free survival (DFS) rates were 86%, 119 and 116 months, respectively. There was a significant difference for R0 vs. R+ resection (81% vs. 43%, p = 0.06, and 69% vs. 46%, p = 0.05), Masaoka stage I-II vs. III-IV (75% vs. 52%, p = 0.001, and 75% vs. 37%, p < 0.001), and also prognostic risk groups (100% vs. 89% vs. 48%, p = 0.003, and 100% vs. 87% vs. 27%, p = 0.004) in terms of 5-year OS and DFS, respectively. Conclusion In our study, prognostic risk stratification was shown to be a significant predictor of survival. There is a need to investigate subgroups that may or may not benefit from adjuvant RT.
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Key Words
- 3D-CRT/IMRT, three-dimensional conformal RT/intensity modulated RT
- 4D-CT, four-dimensional computed tomography
- CHE, chemotherapy
- CT, computed tomography
- DFS, disease-free survival
- LC, local control
- MG, Myasthenia Gravis
- NEC, thymic neuroendocrin carcinoma
- OS, overall survival
- PET/CT, positron emission tomography
- PF, prognostic factor
- R+, incomplete resection
- R0, complete resection
- R1, microscopic residual disease
- R2, macroscopic residual disease
- RT, radiotherapy
- TC, thymic carcinoma
- TET, thymic epitelial tumor
- WHO, World Health Organization
- cm, centimeter
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Affiliation(s)
- Sureyya Sarıhan
- Department of Radiation Oncology, Uludag University, Faculty of Medicine, Bursa, Turkey
| | - Ahmet Sami Bayram
- Department of Thoracic Surgery, Uludag University, Faculty of Medicine, Bursa, Turkey
| | - Cengiz Gebitekin
- Department of Thoracic Surgery, Uludag University, Faculty of Medicine, Bursa, Turkey
| | - Omer Yerci
- Department of Pathology, Uludag University, Faculty of Medicine, Bursa, Turkey
| | - Deniz Sıgırlı
- Department of Biostatistics, Uludag University, Faculty of Medicine, Bursa, Turkey
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Nakajo M, Jinguji M, Shinaji T, Nakajo M, Aoki M, Tani A, Sato M, Yoshiura T. Texture analysis of 18F-FDG PET/CT for grading thymic epithelial tumours: usefulness of combining SUV and texture parameters. Br J Radiol 2018; 91:20170546. [PMID: 29182373 DOI: 10.1259/bjr.20170546] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVE To retrospectively investigate the standardized uptake value (SUV)-related and heterogeneous texture parameters individually and in combination for differentiating between low- and high-risk 18Fluorone-fludeoxyglucose (18F-FDG)-avid thymic epithelial tumours (TETs) with positron emission tomography (PET)/CT. METHODS SUV-related and 6 texture parameters (entropy, homogeneity, dissimilarity, intensity variability, size-zone variability and zone percentage) were compared between 11 low-risk and 23 high-risk TETs (metabolic tumour volume >10.0 cm3 and SUV ≥2.5). Diagnostic performance was evaluated by receiver operating characteristic analysis. The diagnostic value of combining SUV and texture parameters was examined by a scoring system. RESULTS High-risk TETs were significantly higher in SUVmax (p = 0.022), entropy (p = 0.038), intensity variability (p = 0.041) and size-zone variability (p = 0.045) than low-risk TETs. Diagnostic accuracies of these 4 parameters, dissimilarity and zone percentage which also showed significance in receiver operating characteristic analysis ranged between 64.7 and 73.5% without significant differences in AUC (range; 0.71 to 0.75) (p ≥ 0.05 each). Each parameter was scored as 0 (negative for high-risk) or 1 (positive for high-risk) according to each threshold criterion, then scores were summed [0 or 1 for low-risk TETs (median; 1); ≥2 for high-risk TETs (median; 4)]. The sensitivity, specificity and accuracy of detecting high-risk TETs were 100, 81.8 and 94.1%, respectively, with an AUC of 0.99. CONCLUSION The diagnostic performances of individual SUVmax and texture parameters were relatively low. However, combining these parameters can significantly increase diagnostic performance when differentiating between relatively large low- and high-risk 18F-FDG-avid TETs. Advances in knowledge: Combined use of SUVmax and texture parameters can significantly increase the diagnostic performance when differentiating between low- and high-risk TETs.
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Affiliation(s)
- Masatoyo Nakajo
- 1 Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences , Kagoshima , Japan
| | - Megumi Jinguji
- 1 Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences , Kagoshima , Japan
| | - Tetsuya Shinaji
- 2 Department of Nuclear Medicine, University of Würzburg , Würzburg , Germany
| | - Masayuki Nakajo
- 3 Department of Radiology, Nanpuh Hospital , Kagoshima , Japan
| | - Masaya Aoki
- 4 Department of Thoracic Surgery, Kagoshima University, Graduate School of Medical and Dental Sciences , Kagoshima , Japan
| | - Atsushi Tani
- 1 Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences , Kagoshima , Japan
| | - Masami Sato
- 4 Department of Thoracic Surgery, Kagoshima University, Graduate School of Medical and Dental Sciences , Kagoshima , Japan
| | - Takashi Yoshiura
- 1 Department of Radiology, Kagoshima University, Graduate School of Medical and Dental Sciences , Kagoshima , Japan
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Nakagawa K, Takahashi S, Endo M, Ohde Y, Kurihara H, Terauchi T. Can 18F-FDG PET predict the grade of malignancy in thymic epithelial tumors? An evaluation of only resected tumors. Cancer Manag Res 2017; 9:761-768. [PMID: 29263700 PMCID: PMC5724416 DOI: 10.2147/cmar.s146522] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Objective Although 18-fluorine fluorodeoxyglucose positron emission tomography (18F-FDG PET) is thought to be useful for predicting the histological grade of thymic epithelial tumors (TETs), it remains controversial. To date, just a few of many previous studies have included only resected cases. Therefore, we investigated 18F-FDG PET findings only in patients with resected TETs. Patients and methods A total of 112 patients with TETs consisting of 92 thymomas and 20 thymic carcinomas (TCs), resected at two institutes (Shizuoka Cancer Center [Shizuoka] and National Cancer Center Hospital [Tokyo]) between October 2002 and December 2015, were evaluated. Spearman rank correlation coefficient was used to assess the association between the maximum standardized uptake value (SUVmax) in the tumor and both the histological subtype and tumor stage. The cutoff value of SUVmax for differentiating thymoma from TC was calculated. Results The SUVmax was strongly related to both the World Health Organization (WHO) histological subtype and tumor stage based on the eighth edition of the tumor-node-metastasis (TNM) classification (Spearman rank correlation coefficient =0.485 and 0.432; p = 0.000 and 0.000, respectively). There was a significant difference between thymoma and TC. The optimal SUVmax cutoff value for differentiating thymoma from TC was 4.58 (sensitivity: 80% and specificity: 78.3%). In contrast, there was no significant difference between low-risk (type A, AB, and B1) and high-risk (type B2 and B3) thymoma, or between type B3 thymoma and the other subtypes. Conclusion Our results suggest that 18F-FDG PET is useful for differentiating thymoma from TC, but not for predicting the histologic grade of thymoma.
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Affiliation(s)
- Kazuo Nakagawa
- Department of Thoracic Surgery, National Cancer Center Hospital, Tokyo
| | | | - Masahiro Endo
- Division of Diagnostic Radiology, Shizuoka Cancer Center, Shizuoka
| | | | - Hiroaki Kurihara
- Department of Diagnostic Radiology, National Cancer Center Hospital
| | - Takashi Terauchi
- Department of Nuclear Medicine, Cancer Institute Hospital, Tokyo, Japan
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Korst RJ, Fernando S, Catlin AC, Rutledge JR, Girard N, Huang J, Detterbeck F. Positron Emission Tomography in Thymic Tumors: Analysis Using a Prospective Research Database. Ann Thorac Surg 2017; 104:1815-1820. [PMID: 29033016 DOI: 10.1016/j.athoracsur.2017.06.053] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Revised: 06/08/2017] [Accepted: 06/21/2017] [Indexed: 10/18/2022]
Abstract
BACKGROUND Positron emission tomography may have a role in the pretreatment workup of patients with thymic malignancies. This study was undertaken to determine the utility of the maximum standardized uptake value (SUVmax) in predicting histologic type and tumor stage in a large cohort of thymic epithelial tumors. METHODS The large, multiinstitutional, prospective database of The International Thymic Malignancy Interest Group (ITMIG) was queried for the use of positron emission tomography in the pretreatment workup of patients with thymic tumors. Data analyzed included demographics, SUVmax, histologic tumor type, and tumor stage. The distribution of SUVmax according to histologic type and Masaoka-Koga pathologic stage was determined, and the ability of SUVmax to predict these two variables was calculated using analysis of receiver operating characteristic curves. RESULTS Since 2012, data from 926 patients with thymic malignancies were entered into the ITMIG prospective database, of which 154 had a reported value for SUVmax. The area under the receiver operating characteristic curve for SUVmax in predicting histologic type and pathologic stage was 0.79 (95% confidence interval, 0.70 to 0.88; p < 0.001) and 0.81 (95% confidence interval, 0.73 to 0.88; p < 0.001), respectively. In addition, there was a significant relationship between SUVmax and histologic type (p < 0.001) as well as Masaoka-Koga pathologic stage (p < 0.001). CONCLUSIONS Positron emission tomography has utility in predicting clinicopathologic features of thymic malignancies. These results may have clinical application in the pretreatment workup of patients with these rare tumors.
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Affiliation(s)
- Robert J Korst
- Department of Thoracic Surgery, Mount Sinai Health System, Icahn School of Medicine at Mount Sinai, New York, New York; Valley/Mount Sinai Comprehensive Cancer Care, Paramus, New Jersey.
| | - Sumudinie Fernando
- Rosen Center for Advanced Computing, Purdue University, West Lafayette, Indiana
| | | | - John R Rutledge
- Valley/Mount Sinai Comprehensive Cancer Care, Paramus, New Jersey
| | - Nicolas Girard
- Department of Respiratory Medicine, Thoracic Oncology, Institute of Oncology, Louis Pradel Hospital, Hospices Civils de Lyon Cancer Institute, Lyon, France
| | - James Huang
- Department of Thoracic Surgery, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Frank Detterbeck
- Department of Thoracic Surgery, Yale University, New Haven, Connecticut
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Muzaffar R, Raslan O, Ahmed F, Goldfarb L, Sterkel B, Osman MM. Incidental Findings on Myocardial Perfusion SPECT Images. J Nucl Med Technol 2017; 45:175-180. [PMID: 28705926 DOI: 10.2967/jnmt.117.195487] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Accepted: 05/26/2017] [Indexed: 01/10/2023] Open
Affiliation(s)
- Razi Muzaffar
- Division of Nuclear Medicine, Department of Radiology, Saint Louis University, Saint Louis, Missouri; and
| | - Osama Raslan
- Division of Nuclear Medicine, Department of Radiology, Saint Louis University, Saint Louis, Missouri; and
| | - Fatma Ahmed
- Division of Nuclear Medicine, Department of Radiology, Saint Louis University, Saint Louis, Missouri; and
| | - Leonard Goldfarb
- Division of Nuclear Medicine, Department of Radiology, John Cochran VA Medical Center, St. Louis, Missouri
| | - Barbara Sterkel
- Division of Nuclear Medicine, Department of Radiology, John Cochran VA Medical Center, St. Louis, Missouri
| | - Medhat M Osman
- Division of Nuclear Medicine, Department of Radiology, Saint Louis University, Saint Louis, Missouri; and
- Division of Nuclear Medicine, Department of Radiology, John Cochran VA Medical Center, St. Louis, Missouri
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Segreto S, Fonti R, Ottaviano M, Pellegrino S, Pace L, Damiano V, Palmieri G, Del Vecchio S. Evaluation of metabolic response with 18F-FDG PET-CT in patients with advanced or recurrent thymic epithelial tumors. Cancer Imaging 2017; 17:10. [PMID: 28264726 PMCID: PMC5339950 DOI: 10.1186/s40644-017-0112-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Accepted: 02/24/2017] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Patients with advanced or recurrent thymic epithelial tumors (TETs) often need several consecutive lines of chemotherapy. The aim of this retrospective monocentric study was to test whether 18F-Fluorodeoxyglucose positron emission tomography-computed tomography (18F-FDG PET-CT) is able to monitor standard chemotherapy efficacy in those patients and whether metabolic response correlates with morphovolumetric response as assessed by Response Evaluation Criteria in Solid Tumor (RECIST). METHODS We evaluated 27 consecutive patients with advanced (16 patients) or recurrent (11 patients) TETs. All patients underwent 18F-FDG PET-CT before and after at least 3 cycles of chemotherapy. Maximum standardized uptake value (SUVmax) of all detected lesions was recorded and the most 18F-FDG avid lesion in each patient was selected for determination of percentage change of SUVmax (ΔSUVmax) in pre- and post-treatment scans. Tumor response was assessed by contrast-enhanced computed tomography (CE-CT) using RECIST criteria. Receiver operating characteristic (ROC) curve analysis was performed to define the optimal threshold of ΔSUVmax discriminating responders from non-responders. RESULTS Metabolic response expressed as ΔSUVmax was significantly correlated with morphovolumetric response (Spearman's rank correlation, r = 0.64, p = 0.001). ROC curve analysis showed that a ΔSUVmax value of -25% could discriminate responders from non-responders with a sensitivity of 88% and a specificity of 80%. Conversely, basal SUVmax values were not predictive of morphovolumetric tumor response. CONCLUSIONS Our findings indicate that metabolic response assessed by 18F-FDG PET-CT, through evaluation of ΔSUVmax, may allow identification of responders and non-responders thus guiding adaptation of therapy in patients with advanced or recurrent TETs.
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Affiliation(s)
- Sabrina Segreto
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, Edificio 10, 80131, Naples, Italy
| | - Rosa Fonti
- Institute of Biostructures and Bioimaging, National Research Council, Via T. De Amicis 95, 80145, Naples, Italy
| | - Margaret Ottaviano
- Rare Tumors Reference Center, University of Naples Federico II, Via S. Pansini 5, 80131, Naples, Italy
| | - Sara Pellegrino
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, Edificio 10, 80131, Naples, Italy
| | - Leonardo Pace
- Department of Medicine and Surgery, University of Salerno, Via S. Allende, 84081, Baronissi, Salerno, Italy
| | - Vincenzo Damiano
- Rare Tumors Reference Center, University of Naples Federico II, Via S. Pansini 5, 80131, Naples, Italy
| | - Giovannella Palmieri
- Rare Tumors Reference Center, University of Naples Federico II, Via S. Pansini 5, 80131, Naples, Italy
| | - Silvana Del Vecchio
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, Edificio 10, 80131, Naples, Italy. .,Institute of Biostructures and Bioimaging, National Research Council, Via T. De Amicis 95, 80145, Naples, Italy.
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Abstract
Thymomas are uncommon tumors that can present as locally advanced tumors in approximately 30% of the patients. Stage and complete resection are the strongest prognostic factors. For locally advanced tumors, induction treatment may improve the ability to achieve a complete resection. Combination treatment with cisplatin, doxorubicin, and cyclophosphamide is the most commonly used induction regimen. Similar rates of resectability are noted with the use of induction chemotherapy and chemoradiation therapy; however, more tumor necrosis is noted with the addition of radiation.
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Affiliation(s)
- Usman Ahmad
- Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Heart and Vascular Institute, Cleveland Clinic, 9500 Euclid Avenue, J4-1, Cleveland, OH 44195, USA.
| | - James Huang
- Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
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46
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Padda SK, Keijzers M, Wakelee HA. Pretreatment biopsy for thymic epithelial tumors-does histology subtype matter for treatment strategy? J Thorac Dis 2016; 8:1895-900. [PMID: 27618984 DOI: 10.21037/jtd.2016.06.77] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Sukhmani K Padda
- Department of Medicine (Oncology), Stanford University/Stanford Cancer Institute, Stanford, CA, USA
| | - Marlies Keijzers
- Department of Cardiothoracic Surgery, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Heather A Wakelee
- Department of Medicine (Oncology), Stanford University/Stanford Cancer Institute, Stanford, CA, USA
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Re. Clin Nucl Med 2016; 41:748. [DOI: 10.1097/rlu.0000000000001301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Gu Z, Fu J, Shen Y, Wei Y, Tan L, Zhang P, Han Y, Chen C, Zhang R, Li Y, Chen KN, Chen H, Liu Y, Cui Y, Wang Y, Pang L, Yu Z, Zhou X, Liu Y, Liu Y, Fang W. [Thymectomy versus Tumor Resection for Early-stage Thymic Malignancies: A Chinese Alliance for Research in Thymomas (ChART) Retrospective Database Analysis]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2016; 19:459-64. [PMID: 27339723 PMCID: PMC6133978 DOI: 10.3779/j.issn.1009-3419.2016.07.08] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
背景与目的 探采用中国胸腺肿瘤协作组胸腺肿瘤多中心回顾性数据库,探讨胸腺切除范围对早期胸腺上皮肿瘤预后的影响。 方法 选择Masaoka-Koga分期Ⅰ期、Ⅱ期且术前没有接受新辅助治疗的患者,根据术中胸腺切除程度,分为胸腺切除组及胸腺瘤切除组。对比分析两组患者的临床特点及预后差异。 结果 共有1, 047例患者纳入研究,其中胸腺切除组入组796例患者、胸腺瘤切除组入组251例患者。对于术前合并重症肌无力(myasthenia gravis, MG)的患者,胸腺切除组术后的MG的缓解率明显优于胸腺瘤切除组(91.6% vs 50.0%, P < 0.001)。胸腺切除组的10年总体生存率(overall survival, OS)为90.9%,胸腺瘤切除组的10年OS为89.4%,两者之间没有统计学差异(P=0.732)。胸腺切除组术后复发率为3.7%,胸腺瘤切除组术后复发率为6.2%,两组之间无统计学差异(P=0.149)。进一步分层分析显示,对于Masaoka-Koga Ⅰ期患者,胸腺切除组和胸腺瘤切除组在复发率上没有差异(3.2% vs 1.4%, P=0.259);然而在Masaoka-Koga Ⅱ期患者中,胸腺切除组的复发率明显低于胸腺瘤切除组的复发率(2.9% vs 14.5%, P=0.001)。 结论 胸腺切除是治疗胸腺上皮肿瘤的标准手术方式,特别是对于Masaoka-Koga Ⅱ期及合并MG的患者。
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Affiliation(s)
- Zhitao Gu
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Jianhua Fu
- Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Yi Shen
- Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China
| | - Yucheng Wei
- Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China
| | - Lijie Tan
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Peng Zhang
- Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Yongtao Han
- Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China
| | - Chun Chen
- Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - Renquan Zhang
- Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Yin Li
- Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Ke-Neng Chen
- Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China
| | - Hezhong Chen
- Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China
| | - Yongyu Liu
- Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China
| | - Youbing Cui
- Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China
| | - Yun Wang
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Liewen Pang
- Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China
| | - Zhentao Yu
- Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China
| | - Xinming Zhou
- Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Yangchun Liu
- Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Yuan Liu
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Wentao Fang
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China
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Khandelwal A, Sholl LM, Araki T, Ramaiya NH, Hatabu H, Nishino M. Patterns of metastasis and recurrence in thymic epithelial tumours: longitudinal imaging review in correlation with histological subtypes. Clin Radiol 2016; 71:1010-1017. [PMID: 27267746 DOI: 10.1016/j.crad.2016.05.007] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Revised: 04/26/2016] [Accepted: 05/09/2016] [Indexed: 02/05/2023]
Abstract
AIM To determine the patterns of metastasis and recurrence in thymic epithelial tumours based on longitudinal imaging studies, and to correlate the patterns with World Health Organization (WHO) histological classifications. MATERIALS AND METHODS Seventy-seven patients with histopathologically confirmed thymomas (n=62) and thymic carcinomas (n=15) who were followed with cross-sectional follow-up imaging after surgery were retrospectively studied. All cross-sectional imaging studies during the disease course were reviewed to identify metastasis or recurrence. The sites of involvement and the time of involvement measured from surgery were recorded. RESULTS Metastasis or recurrence was noted in 24 (31%) of the 77 patients. Patients with metastasis or recurrence were significantly younger than those without (median age: 46 versus 60, respectively; p=0.0005), and more commonly had thymic carcinomas than thymomas (p=0.002). The most common site of involvement was the pleura (17/24), followed by the lung (9/24), and thoracic nodes (9/24). Abdominopelvic involvement was noted in 12 patients, most frequently in the liver (n=8). Lung metastasis was more common in thymic carcinomas than thymomas (p=0.0005). Time from surgery to the development of metastasis or recurrence was shortest in thymic carcinoma, followed by high-risk thymomas, and was longest in low-risk thymoma (median time in months: 25.1, 68.8, and not reached, respectively; p=0.0015). CONCLUSIONS The patterns of metastasis and recurrence of thymic epithelial tumours differ significantly across histological subgroups, with thymic carcinomas more commonly having metastasis with shorter length of time after surgery. The knowledge of different patterns of tumour spread may contribute to further understanding of the biological and clinical behaviours of these tumours.
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Affiliation(s)
- A Khandelwal
- Department of Radiology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA 02215, USA
| | - L M Sholl
- Department of Pathology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA 02215, USA
| | - T Araki
- Department of Radiology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA 02215, USA
| | - N H Ramaiya
- Department of Radiology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA 02215, USA
| | - H Hatabu
- Department of Radiology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA 02215, USA
| | - M Nishino
- Department of Radiology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA 02215, USA.
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Gu Z, Fu J, Shen Y, Wei Y, Tan L, Zhang P, Han Y, Chen C, Zhang R, Li Y, Chen K, Chen H, Liu Y, Cui Y, Wang Y, Pang L, Yu Z, Zhou X, Liu Y, Liu Y, Fang W. Thymectomy versus tumor resection for early-stage thymic malignancies: a Chinese Alliance for Research in Thymomas retrospective database analysis. J Thorac Dis 2016; 8:680-6. [PMID: 27114835 DOI: 10.21037/jtd.2016.03.16] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND To evaluate the surgical outcomes of tumor resection with or without total thymectomy for thymic epithelial tumors (TETs) using the Chinese Alliance for Research in Thymomas (ChART) retrospective database. METHODS Patients without preoperative therapy, who underwent surgery for early-stage (Masaoka-Koga stage I and II) tumors, were enrolled for the study. They were divided into thymectomy and thymomectomy groups according to the resection extent of the thymus. Demographic and surgical outcomes were compared between the two patients groups. RESULTS A total of 1,047 patients were enrolled, with 796 cases in the thymectomy group and 251 cases in the thymomectomy group. Improvement rate of myasthenia gravis (MG) was higher after thymectomy than after thymomectomy (91.6% vs. 50.0%, P<0.001). Ten-year overall survival was similar between the two groups (90.9% after thymectomy and 89.4% after thymomectomy, P=0.732). Overall, recurrence rate was 3.1% after thymectomy and 5.4% after thymomectomy, with no significant difference between the two groups (P=0.149). Stratified analysis revealed no significant difference in recurrence rates in Masaoka-Koga stage I tumors (3.2% vs. 1.4%, P=0.259). However in patients with Masaoka-Koga stage II tumors, recurrence was significantly less after thymectomy group than after thymomectomy (2.9% vs. 14.5%, P=0.001). CONCLUSIONS Thymectomy, instead of tumor resection alone, should still be recommended as the surgical standard for thymic malignancies, especially for stage II tumors and those with concomitant MG.
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Affiliation(s)
- Zhitao Gu
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Jianhua Fu
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Yi Shen
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Yucheng Wei
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Lijie Tan
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Peng Zhang
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Yongtao Han
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Chun Chen
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Renquan Zhang
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Yin Li
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Keneng Chen
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Hezhong Chen
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Yongyu Liu
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Youbing Cui
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Yun Wang
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Liewen Pang
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Zhentao Yu
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Xinming Zhou
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Yangchun Liu
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Yuan Liu
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
| | - Wentao Fang
- 1 Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, China ; 2 Department of Thoracic Surgery, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China ; 3 Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266001, China ; 4 Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 5 Department of Endocrinology, Tianjin Medical University General Hospital, Tianjin 300052, China ; 6 Department of Thoracic Surgery, Sichuan Cancer Hospital, Chengdu 610041, China ; 7 Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China ; 8 Department of Thoracic Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China ; 9 Department of Thoracic Surgery, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China ; 10 Department of Thoracic Surgery, Beijing Cancer Hospital, Beijing 100142, China ; 11 Department of Cardiothoracic Surgery, Changhai Hospital, Shanghai 200433, China ; 12 Department of Thoracic Surgery, Liaoning Cancer Hospital, Shenyang 110042, China ; 13 Department of Thoracic Surgery, First Affiliated Hospital of Jilin University, Changchun 130021, China ; 14 Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China ; 15 Department of Thoracic Surgery, Huashan Hospital, Fudan University, Shanghai 200032, China ; 16 Department of Esophageal Cancer, Tianjin Cancer Hospital, Tianjin 300060, China ; 17 Department of Thoracic Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, China ; 18 Department of Thoracic Surgery, Jiangxi People's Hospital, Nanchang 330006, China
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