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Qian Y, Li X, Li X, Zhang X, Yuan Q, Wang Z, Zhang M, Huang M, Ji N. TOM5 regulates the mitochondrial membrane potential of alveolar epithelial cells in organizing pneumonia. Redox Rep 2024; 29:2354625. [PMID: 38794801 PMCID: PMC11134018 DOI: 10.1080/13510002.2024.2354625] [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] [Indexed: 05/26/2024] Open
Abstract
Deficiency of TOM5, a mitochondrial protein, causes organizing pneumonia (OP) in mice. The clinical significance and mechanisms of TOM5 in the pathogenesis of OP remain elusive. We demonstrated that TOM5 was significantly increased in the lung tissues of OP patients, which was positively correlated with the collagen deposition. In a bleomycin-induced murine model of chronic OP, increased TOM5 was in line with lung fibrosis. In vitro, TOM5 regulated the mitochondrial membrane potential in alveolar epithelial cells. TOM5 reduced the proportion of early apoptotic cells and promoted cell proliferation. Our study shed light on the roles of TOM5 in OP.
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Affiliation(s)
- Yan Qian
- Department of Respiratory and Critical Care Medicine, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, People’s Republic of China
- Department of Respiratory and Critical Care Medicine, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, People’s Republic of China
| | - Xiao Li
- Department of Pathology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, People’s Republic of China
| | - Xinyu Li
- NHC Key Laboratory of Antibody Technique, Department of Immunology, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Xijie Zhang
- Department of Respiratory and Critical Care Medicine, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, People’s Republic of China
| | - Qi Yuan
- Department of Respiratory and Critical Care Medicine, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, People’s Republic of China
| | - Zhengxia Wang
- Department of Respiratory and Critical Care Medicine, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, People’s Republic of China
| | - Minghun Zhang
- NHC Key Laboratory of Antibody Technique, Department of Immunology, Nanjing Medical University, Nanjing, People’s Republic of China
| | - Mao Huang
- Department of Respiratory and Critical Care Medicine, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, People’s Republic of China
| | - Ningfei Ji
- Department of Respiratory and Critical Care Medicine, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, People’s Republic of China
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2
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Bhandari K, Shah SK, Ghimire S, Shah A, Yadav RK. Takayasu arteritis and interstitial lung disease: a case report and literature review. Ann Med Surg (Lond) 2024; 86:6303-6310. [PMID: 39359814 PMCID: PMC11444634 DOI: 10.1097/ms9.0000000000002544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2024] [Accepted: 08/26/2024] [Indexed: 10/04/2024] Open
Abstract
Introduction and importance Although pulmonary artery involvement is well recognized, the incidence of interstitial lung disease (ILD) with Takayasu arteritis is very rare. The pathophysiology of ILD in Takayasu is still incompletely understood, in contrast to several studies establishing the relationship between ANCA-associated vasculitis and ILD. The management of this patient involved a multidisciplinary approach with long-term follow-up. Case presentation The authors present a case of HRCT-proven interstitial lung disease in a patient with Takayasu arteritis and heart failure. The patient was on long-term corticosteroids on and off for several years and recently developed progressive dyspnea with a dry cough. After reviewing her history and physical examination, pulmonary function tests (PFTs) and high-resolution computed tomography (HRCT) were performed, and interstitial lung disease was diagnosed. The patient was managed by a team of pulmonologists, rheumatologists, and cardiologists and gradually improved after adjustment of medications, including corticosteroids and mycofenolate, and via long-term oxygen therapy. Clinical discussion Takayasu arteritis is a rare form of systemic vasculitis that can involve the pulmonary vasculature, such vasculitis with associated parenchymal involvement is rare. ILDs have been demonstrated with ANCA-associated vasculitis; however, whether the pathophysiology applies to Takayasu is unknown. Since Takayasu can be debilitating to the patient, the association of ILDs can have further prognostic implications. Given that no established guidelines exist to address this association, management is based on clinical expertise. Conclusion The authors report a case of Takayasu arteritis and associated ILD and its pharmacological management. Takayasu arteritis is a very uncommon type of vasculitis, and pulmonary parenchymal involvement further contributes to this case's rarity. As the management of Takayasu arteritis alone is cumbersome, the addition of another significant comorbidity, such as ILD, can pose several threats to the patient. Given the rarity of this association, no established guidelines exist, making clinical expertise crucial for managing such patients. Further research is needed to explore the underlying mechanisms and develop evidence-based treatment strategies for this rare combination.
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Affiliation(s)
- Kritick Bhandari
- KIST Medical College and Teaching Hospital, Gwarko, Imadol, Lalitpur, Nepal
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Crombé A, Dupont C, Casalonga F, Seux M, Favard N, Coulon A, Jurkovic T, Nivet H, Gorincour G. Emergency department CT examinations demonstrate no evidence of early viral circulation at the start of the COVID-19 pandemic-a multicentre epidemiological study. Insights Imaging 2024; 15:14. [PMID: 38228899 DOI: 10.1186/s13244-023-01590-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 11/29/2023] [Indexed: 01/18/2024] Open
Abstract
BACKGROUND Biological studies suggested that the COVID-19 outbreak in France occurred before the first official diagnosis on January 24, 2020. We investigated this controversial topic using a large collection of chest CTs performed throughout French emergency departments within 6 months before the 1st lockdown. RESULTS Overall, 49,311 consecutive patients (median age: 60 years, 23,636/49,311 [47.9%] women) with available chest CT images and reports from 61 emergency departments between September 1, 2020, and March 16, 2020 (day before the 1st French lockdown), were retrospectively included in this multicentre study. In the macroscopic analysis of reports automatically (labelled for presence of ground glass opacities [GGOs], reticulations, and bilateral and subpleural abnormalities), we found a significant breakpoint on February 17, 2020, for the weekly time series with 1, 2 and ≥ 3 of these 4 radiological features, with 146/49,311 (0.3%) patients showing bilateral abnormalities and ground glass opacities (GGOs) from that day. According to radiologists, 22/146 (15.1%) CT images showed typical characteristics of COVID-19, including 4/146 (2.7%) before February 2020. According to hospital records, one patient remained without microbial diagnosis, two patients had proven influenza A and one patient had concomitant influenza A and mycoplasma infection. CONCLUSION These results suggest that SARS-CoV-2 was not circulating in the areas covered by the 61 emergency departments involved in our study before the official beginning of the COVID-19 outbreak in France. In emergency patients, the strong resemblance among mycoplasma, influenza A and SARS-CoV-2 lung infections on chest CT and the nonspecificity of CT patterns in low prevalence periods is stressed. CRITICAL RELEVANCE STATEMENT We proposed here an innovative approach to revisit a controversial 'real' start of the COVID-19 pandemic in France based on (1) a population-level approach combining text mining, time series analysis and an epidemiological dataset and (2) a patient-level approach with careful retrospective reading of chest CT scans complemented by analysis of samples performed contemporarily to the chest CT. We showed no evidence that SARS-CoV-2 was actively circulating in France before February 2020.
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Affiliation(s)
- Amandine Crombé
- IMADIS, Lyon, France
- SARCOTARGET Team, BRIC INSERM U1312 - Bordeaux University, Bordeaux, F-33000, France
- Department of Radiology, Pellegrin University Hospital, Bordeaux, France
| | | | | | | | - Nicolas Favard
- IMADIS, Lyon, France
- Imagerie Médicale du Mâconnais, Mâcon, France
| | - Agnès Coulon
- IMADIS, Lyon, France
- Centre Léon Berard, Lyon, France
| | | | - Hubert Nivet
- IMADIS, Lyon, France
- Centre Aquitain d'Imagerie Médicale, Mérignac, France
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Huang S, de Jong D, Das JP, Widemon RS, Braumuller B, Paily J, Deng A, Liou C, Roa T, Huang A, Ma H, D'Souza B, Leb J, L'Hereaux J, Nguyen P, Luk L, Francescone M, Yeh R, Maccarrone V, Dercle L, Salvatore MM, Capaccione KM. Imaging the Side Effects of CAR T Cell Therapy: A Primer for the Practicing Radiologist. Acad Radiol 2023; 30:2712-2727. [PMID: 37394411 DOI: 10.1016/j.acra.2023.04.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 04/02/2023] [Accepted: 04/03/2023] [Indexed: 07/04/2023]
Abstract
Chimeric antigen receptor (CAR) T cell therapy is a revolutionary form of immunotherapy that has proven to be efficacious in the treatment of many hematologic cancers. CARs are modified T lymphocytes that express an artificial receptor specific to a tumor-associated antigen. These engineered cells are then reintroduced to upregulate the host immune responses and eradicate malignant cells. While the use of CAR T cell therapy is rapidly expanding, little is known about how common side effects such as cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity (ICANS) present radiographically. Here we provide a comprehensive review of how side effects present in different organ systems and how they can be optimally imaged. Early and accurate recognition of the radiographic presentation of these side effects is critical to the practicing radiologist and their patients so that these side effects can be promptly identified and treated.
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Affiliation(s)
- Sophia Huang
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, New York 10032 (S.H., R.S.W., B.B., J.P., C.L., T.R., A.H., H.M., B.D.S., J.L., J.L.H., P.N., L.L., M.F., V.M., L.D., M.S., K.M.C.)
| | - Dorine de Jong
- Department of Immunology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, New York 10065 (D.J.)
| | - Jeeban P Das
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, New York 10065 (J.D., R.Y.)
| | - Reginald Scott Widemon
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, New York 10032 (S.H., R.S.W., B.B., J.P., C.L., T.R., A.H., H.M., B.D.S., J.L., J.L.H., P.N., L.L., M.F., V.M., L.D., M.S., K.M.C.)
| | - Brian Braumuller
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, New York 10032 (S.H., R.S.W., B.B., J.P., C.L., T.R., A.H., H.M., B.D.S., J.L., J.L.H., P.N., L.L., M.F., V.M., L.D., M.S., K.M.C.)
| | - Jacienta Paily
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, New York 10032 (S.H., R.S.W., B.B., J.P., C.L., T.R., A.H., H.M., B.D.S., J.L., J.L.H., P.N., L.L., M.F., V.M., L.D., M.S., K.M.C.)
| | - Aileen Deng
- Department of Hematology and Oncology, Novant Health, 170 Medical Park Road, Mooresville, North Carolina 28117 (A.D.)
| | - Connie Liou
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, New York 10032 (S.H., R.S.W., B.B., J.P., C.L., T.R., A.H., H.M., B.D.S., J.L., J.L.H., P.N., L.L., M.F., V.M., L.D., M.S., K.M.C.)
| | - Tina Roa
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, New York 10032 (S.H., R.S.W., B.B., J.P., C.L., T.R., A.H., H.M., B.D.S., J.L., J.L.H., P.N., L.L., M.F., V.M., L.D., M.S., K.M.C.)
| | - Alice Huang
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, New York 10032 (S.H., R.S.W., B.B., J.P., C.L., T.R., A.H., H.M., B.D.S., J.L., J.L.H., P.N., L.L., M.F., V.M., L.D., M.S., K.M.C.)
| | - Hong Ma
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, New York 10032 (S.H., R.S.W., B.B., J.P., C.L., T.R., A.H., H.M., B.D.S., J.L., J.L.H., P.N., L.L., M.F., V.M., L.D., M.S., K.M.C.)
| | - Belinda D'Souza
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, New York 10032 (S.H., R.S.W., B.B., J.P., C.L., T.R., A.H., H.M., B.D.S., J.L., J.L.H., P.N., L.L., M.F., V.M., L.D., M.S., K.M.C.)
| | - Jay Leb
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, New York 10032 (S.H., R.S.W., B.B., J.P., C.L., T.R., A.H., H.M., B.D.S., J.L., J.L.H., P.N., L.L., M.F., V.M., L.D., M.S., K.M.C.)
| | - Jade L'Hereaux
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, New York 10032 (S.H., R.S.W., B.B., J.P., C.L., T.R., A.H., H.M., B.D.S., J.L., J.L.H., P.N., L.L., M.F., V.M., L.D., M.S., K.M.C.)
| | - Pamela Nguyen
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, New York 10032 (S.H., R.S.W., B.B., J.P., C.L., T.R., A.H., H.M., B.D.S., J.L., J.L.H., P.N., L.L., M.F., V.M., L.D., M.S., K.M.C.)
| | - Lyndon Luk
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, New York 10032 (S.H., R.S.W., B.B., J.P., C.L., T.R., A.H., H.M., B.D.S., J.L., J.L.H., P.N., L.L., M.F., V.M., L.D., M.S., K.M.C.)
| | - Mark Francescone
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, New York 10032 (S.H., R.S.W., B.B., J.P., C.L., T.R., A.H., H.M., B.D.S., J.L., J.L.H., P.N., L.L., M.F., V.M., L.D., M.S., K.M.C.)
| | - Randy Yeh
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, New York 10065 (J.D., R.Y.)
| | - Valerie Maccarrone
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, New York 10032 (S.H., R.S.W., B.B., J.P., C.L., T.R., A.H., H.M., B.D.S., J.L., J.L.H., P.N., L.L., M.F., V.M., L.D., M.S., K.M.C.)
| | - Laurent Dercle
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, New York 10032 (S.H., R.S.W., B.B., J.P., C.L., T.R., A.H., H.M., B.D.S., J.L., J.L.H., P.N., L.L., M.F., V.M., L.D., M.S., K.M.C.)
| | - Mary M Salvatore
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, New York 10032 (S.H., R.S.W., B.B., J.P., C.L., T.R., A.H., H.M., B.D.S., J.L., J.L.H., P.N., L.L., M.F., V.M., L.D., M.S., K.M.C.)
| | - Kathleen M Capaccione
- Department of Radiology, Columbia University Irving Medical Center, 622 W 168th Street, New York, New York 10032 (S.H., R.S.W., B.B., J.P., C.L., T.R., A.H., H.M., B.D.S., J.L., J.L.H., P.N., L.L., M.F., V.M., L.D., M.S., K.M.C.).
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AKKAYA H, ERÇEN DİKEN Ö. Can lung semi-quantitative measurements and mediastinal adipose tissue volume predict prognosis in patients with idiopathic pulmonary fibrosis (IPF)? A CT-based preliminary study. Tuberk Toraks 2023; 71:203-214. [PMID: 37740624 PMCID: PMC10854059 DOI: 10.5578/tt.20239702] [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: 08/12/2023] [Accepted: 08/22/2023] [Indexed: 09/24/2023] Open
Abstract
Introduction The aim of this study was to assess the potential of subcutaneous adipose tissue volume, mediastinal adipose tissue volume, lung density, and lung volume (as measured on high-resolution computed tomography) to predict disease progression in patients with idiopathic pulmonary fibrosis (IPF). Additionally, the study aimed to evaluate the changes in these semiquantitative measures over time. Materials and Methods The HRCT images of 57 patients diagnosed with IPF were retrospectively screened. Subcutaneous adipose tissue volume, mediastinal adipose tissue volume, and mean lung density and volume were measured at the time of diagnosis and at the 12th month. The ability of these parameters to predict progression was evaluated using the univariate and multivariate Cox regression analyses. Results Low mediastinal adipose tissue volume at diagnosis had a 0.991-fold effect [odds ratio (OR)= 0.991, 95% confidence interval (CI)= 0.984-0.997, p< 0.001] on progression. Low mediastinal adipose tissue volume at diagnosis had a 0.993-fold effect [odds ratio (OR)= 0.993, 95% confidence interval (CI)= 0.975-1.011, p< 0.001] and progression development at the 12th month had a 6.5-fold effect [odds ratio (OR)= 6.516, 95% confidence interval (CI)= 1.594-26.639, p< 0.009] on mortality. Conclusion This study indicate that the prognosis was better in those with a large mediastinal adipose tissue volume among the patients with IPF.
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Affiliation(s)
- H. AKKAYA
- Clinic of Radiology, University of Health Sciences, Adana City Training and
Research Hospital, Adana, Türkiye
- Clinic of Chest Diseases, University of Health Sciences, Adana City Training
and Research Hospital, Adana, Türkiye
| | - Ö. ERÇEN DİKEN
- Clinic of Chest Diseases, University of Health Sciences, Adana City Training
and Research Hospital, Adana, Türkiye
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Rea G, Sverzellati N, Bocchino M, Lieto R, Milanese G, D'Alto M, Bocchini G, Maniscalco M, Valente T, Sica G. Beyond Visual Interpretation: Quantitative Analysis and Artificial Intelligence in Interstitial Lung Disease Diagnosis "Expanding Horizons in Radiology". Diagnostics (Basel) 2023; 13:2333. [PMID: 37510077 PMCID: PMC10378251 DOI: 10.3390/diagnostics13142333] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Revised: 07/07/2023] [Accepted: 07/08/2023] [Indexed: 07/30/2023] Open
Abstract
Diffuse lung disorders (DLDs) and interstitial lung diseases (ILDs) are pathological conditions affecting the lung parenchyma and interstitial network. There are approximately 200 different entities within this category. Radiologists play an increasingly important role in diagnosing and monitoring ILDs, as they can provide non-invasive, rapid, and repeatable assessments using high-resolution computed tomography (HRCT). HRCT offers a detailed view of the lung parenchyma, resembling a low-magnification anatomical preparation from a histological perspective. The intrinsic contrast provided by air in HRCT enables the identification of even the subtlest morphological changes in the lung tissue. By interpreting the findings observed on HRCT, radiologists can make a differential diagnosis and provide a pattern diagnosis in collaboration with the clinical and functional data. The use of quantitative software and artificial intelligence (AI) further enhances the analysis of ILDs, providing an objective and comprehensive evaluation. The integration of "meta-data" such as demographics, laboratory, genomic, metabolomic, and proteomic data through AI could lead to a more comprehensive clinical and instrumental profiling beyond the human eye's capabilities.
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Affiliation(s)
- Gaetano Rea
- Department of Radiology, Monaldi Hospital, Azienda Ospedaliera dei Colli, 80131 Naples, Italy
| | - Nicola Sverzellati
- Section of Radiology, Unit of Surgical Science, Department of Medicine and Surgery (DiMeC), University of Parma, 43121 Parma, Italy
| | - Marialuisa Bocchino
- Department of Clinical Medicine and Surgery, Section of Respiratory Diseases, University Federico II, Monaldi Hospital, Azienda Ospedaliera dei Colli, 80131 Naples, Italy
| | - Roberta Lieto
- Department of Radiology, Monaldi Hospital, Azienda Ospedaliera dei Colli, 80131 Naples, Italy
| | - Gianluca Milanese
- Section of Radiology, Unit of Surgical Science, Department of Medicine and Surgery (DiMeC), University of Parma, 43121 Parma, Italy
| | - Michele D'Alto
- Department of Cardiology, University "L. Vanvitelli"-Monaldi Hospital, 80131 Naples, Italy
| | - Giorgio Bocchini
- Department of Radiology, Monaldi Hospital, Azienda Ospedaliera dei Colli, 80131 Naples, Italy
| | - Mauro Maniscalco
- Department of Pneumology Clinical and Scientific Institutes Maugeri IRCSS, 82037 Telese, Italy
| | - Tullio Valente
- Department of Radiology, Monaldi Hospital, Azienda Ospedaliera dei Colli, 80131 Naples, Italy
| | - Giacomo Sica
- Department of Radiology, Monaldi Hospital, Azienda Ospedaliera dei Colli, 80131 Naples, Italy
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Borgheresi A, Agostini A, Pierpaoli L, Bruno A, Valeri T, Danti G, Bicci E, Gabelloni M, De Muzio F, Brunese MC, Bruno F, Palumbo P, Fusco R, Granata V, Gandolfo N, Miele V, Barile A, Giovagnoni A. Tips and Tricks in Thoracic Radiology for Beginners: A Findings-Based Approach. Tomography 2023; 9:1153-1186. [PMID: 37368547 PMCID: PMC10301342 DOI: 10.3390/tomography9030095] [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: 05/05/2023] [Revised: 06/03/2023] [Accepted: 06/12/2023] [Indexed: 06/29/2023] Open
Abstract
This review has the purpose of illustrating schematically and comprehensively the key concepts for the beginner who approaches chest radiology for the first time. The approach to thoracic imaging may be challenging for the beginner due to the wide spectrum of diseases, their overlap, and the complexity of radiological findings. The first step consists of the proper assessment of the basic imaging findings. This review is divided into three main districts (mediastinum, pleura, focal and diffuse diseases of the lung parenchyma): the main findings will be discussed in a clinical scenario. Radiological tips and tricks, and relative clinical background, will be provided to orient the beginner toward the differential diagnoses of the main thoracic diseases.
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Affiliation(s)
- Alessandra Borgheresi
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Via Tronto 10/a, 60126 Ancona, Italy
- Department of Radiology, University Hospital “Azienda Ospedaliero Universitaria delle Marche”, Via Conca 71, 60126 Ancona, Italy
| | - Andrea Agostini
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Via Tronto 10/a, 60126 Ancona, Italy
- Department of Radiology, University Hospital “Azienda Ospedaliero Universitaria delle Marche”, Via Conca 71, 60126 Ancona, Italy
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy
| | - Luca Pierpaoli
- School of Radiology, University Politecnica delle Marche, Via Tronto 10/a, 60126 Ancona, Italy
| | - Alessandra Bruno
- School of Radiology, University Politecnica delle Marche, Via Tronto 10/a, 60126 Ancona, Italy
| | - Tommaso Valeri
- School of Radiology, University Politecnica delle Marche, Via Tronto 10/a, 60126 Ancona, Italy
| | - Ginevra Danti
- Department of Radiology, Azienda Ospedaliero-Universitaria Careggi, 50134 Florence, Italy
| | - Eleonora Bicci
- Department of Radiology, Azienda Ospedaliero-Universitaria Careggi, 50134 Florence, Italy
| | - Michela Gabelloni
- Nuclear Medicine Unit, Department of Translational Research, University of Pisa, 56126 Pisa, Italy
| | - Federica De Muzio
- Department of Medicine and Health Sciences V. Tiberio, University of Molise, 86100 Campobasso, Italy
| | - Maria Chiara Brunese
- Department of Medicine and Health Sciences V. Tiberio, University of Molise, 86100 Campobasso, Italy
| | - Federico Bruno
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy
- Department of Diagnostic Imaging, Area of Cardiovascular and Interventional Imaging, Abruzzo Health, Unit 1, 67100 L’Aquila, Italy
| | - Pierpaolo Palumbo
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy
- Department of Diagnostic Imaging, Area of Cardiovascular and Interventional Imaging, Abruzzo Health, Unit 1, 67100 L’Aquila, Italy
| | - Roberta Fusco
- Medical Oncology Division, Igea SpA, 80013 Naples, Italy
| | - Vincenza Granata
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli, 80131 Naples, Italy
| | - Nicoletta Gandolfo
- Diagnostic Imaging Department, Villa Scassi Hospital-ASL 3, 16149 Genoa, Italy
| | - Vittorio Miele
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy
- Department of Radiology, Azienda Ospedaliero-Universitaria Careggi, 50134 Florence, Italy
| | - Antonio Barile
- Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy
| | - Andrea Giovagnoni
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Via Tronto 10/a, 60126 Ancona, Italy
- Department of Radiology, University Hospital “Azienda Ospedaliero Universitaria delle Marche”, Via Conca 71, 60126 Ancona, Italy
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Cohen J, Fischetti AJ, Daverio H. Veterinary radiologic error rate as determined by necropsy. Vet Radiol Ultrasound 2023. [PMID: 37296079 DOI: 10.1111/vru.13259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 04/23/2023] [Accepted: 05/08/2023] [Indexed: 06/12/2023] Open
Abstract
A large-scale postmortem auditing of antemortem imaging diagnoses has yet to be accomplished in veterinary medicine. For this retrospective, observational, single-center, diagnostic accuracy study, necropsy reports for patients of The Schwarzman Animal Medical Center were collected over a 1-year period. Each necropsy diagnosis was determined to be either correctly diagnosed or discrepant with its corresponding antemortem diagnostic imaging, and discrepancies were categorized. The radiologic error rate was calculated to include only clinically significant missed diagnoses (lesion was not reported but was retrospectively visible on the image) and misinterpretations (lesion was noted but was incorrectly diagnosed). Nonerror discrepancies, such as temporal indeterminacy, microscopic limitations, sensitivity limitations, and study-type limitations were not included in the error rate. A total of 1099 necropsy diagnoses had corresponding antemortem imaging; 440 diagnoses were classified as major diagnoses, of which 176 were discrepant, for a major discrepancy rate of 40%, similar to reports in people. Seventeen major discrepancies were diagnoses that were missed or misinterpreted by the radiologist, for a calculated radiologic error rate of 4.6%, comparable with error rates of 3%-5% reported in people. From 2020 to 2021, nearly half of all clinically significant abnormalities noted at necropsy went undetected by antemortem imaging, though most discrepancies owed to factors other than radiologic error. Identifying common patterns of misdiagnosis and discrepancy will help radiologists refine their analysis of imaging studies to potentially reduce interpretive error.
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Affiliation(s)
- Jonathan Cohen
- Department of Radiology, MedVet Medical and Cancer Centers for Pets, Fairfax, Ohio, USA
| | - Anthony J Fischetti
- Department of Diagnostic Imaging, Schwarzman Animal Medical Center, New York City, New York, USA
| | - Heather Daverio
- Department of Anatomic Pathology, Schwarzman Animal Medical Center, New York City, New York, USA
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9
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Vyas S, Bansal A, Murugan N, Bhalla AS, Naranje P, Manchanda S. Hypersensitivity Reactions and the Respiratory System: Imaging Based Review. Curr Probl Diagn Radiol 2023; 52:56-65. [PMID: 35610069 DOI: 10.1067/j.cpradiol.2022.04.009] [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: 02/01/2022] [Revised: 03/24/2022] [Accepted: 04/18/2022] [Indexed: 04/01/2025]
Abstract
Hypersensitivity reactions are characterized by inappropriate response of the immune system to an inciting antigen, which results in damage to various body tissues. Respiratory system can be involved as a part of hypersensitivity reaction by a myriad of conditions ranging from infective pathologies like tuberculosis to non-infective processes such as asthma, graft- versus host disease, sarcoidosis and vasculitic disorders. Recognition of specific imaging features in appropriate clinical setting helps in diagnosing these conditions. We present a review of mechanism of different types of hypersensitivity reactions; and imaging features of various such pathological conditions affecting the respiratory system.
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Affiliation(s)
- Surabhi Vyas
- Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Abhinav Bansal
- Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Narasiman Murugan
- Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Ashu Seith Bhalla
- Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India.
| | - Priyanka Naranje
- Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Smita Manchanda
- Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India
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10
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Sangani RG, Deepak V, Ghio AJ, Patel Z, Alshaikhnassir E, Vos J. Peribronchiolar Metaplasia: A Marker of Cigarette Smoke-Induced Small Airway Injury in a Rural Cohort. CLINICAL PATHOLOGY (THOUSAND OAKS, VENTURA COUNTY, CALIF.) 2023; 16:2632010X231209878. [PMID: 37954231 PMCID: PMC10638866 DOI: 10.1177/2632010x231209878] [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: 03/12/2023] [Accepted: 08/21/2023] [Indexed: 11/14/2023]
Abstract
Background Peribronchiolar metaplasia (PBM) is considered a reaction to injury characterized by the proliferation of bronchiolar epithelium into immediately adjacent alveolar walls. While an association of PBM with diffuse interstitial lung diseases has been recognized, the clinical significance of PBM remains uncertain. Methods A cohort (n = 352) undergoing surgical resection of a lung nodule/mass in a rural area was retrospectively reviewed. Multivariate logistic regression analysis was performed to determine the association of PBM with clinical, physiological, radiographic, and histologic endpoints. Results In the total study cohort, 9.1% were observed to have PBM as a histologic finding in resected lung tissue (n = 32). All but one of these patients with PBM were ever-smokers with a median of 42 pack years. Clinical COPD was diagnosed in two-thirds of patients with PBM. Comorbid gastroesophageal reflux disease (GERD) was significantly associated with PBM. All patients with PBM demonstrated radiologic and histologic evidence of emphysema. Measures of pulmonary function were not impacted by PBM. Mortality was not associated with the histologic observation of PBM. In a logistic regression model, centrilobular-ground glass opacity interstitial lung abnormality and traction bronchiectasis on the CT scan of the chest and histologic evidence of fibrosis, desquamative interstitial pneumonia and anthracosis all strongly predicted PBM in the cohort. Conclusion A constellation of radiologic and histologic smoking-related abnormalities predicted PBM in study cohort. This confirms a co-existence of lung tissue responses to smoking including PBM, emphysema, and fibrosis. Acknowledging the physiologically "silent" nature of small airway dysfunction on pulmonary function testing, our findings support PBM as a histologic marker of small-airway injury associated with cigarette smoking.
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Affiliation(s)
- Rahul G Sangani
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, West Virginia University, Morgantown, WV, USA
| | - Vishal Deepak
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, West Virginia University, Morgantown, WV, USA
| | | | - Zalak Patel
- Department of Radiology, West Virginia University, Morgantown, WV, USA
| | | | - Jeffrey Vos
- Deparment of Pathology, West Virginia University, Morgantown, WV, USA
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11
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Elsayed M, Abdelgabar A, Karmani J, Majid M. A Case of Antisynthetase Syndrome Initially Presented With Interstitial Lung Disease Mimicking COVID-19. J Med Cases 2023; 14:25-30. [PMID: 36755994 PMCID: PMC9881486 DOI: 10.14740/jmc4031] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 01/05/2023] [Indexed: 01/20/2023] Open
Abstract
In this case report, we present a case of antisynthetase syndrome which is a rare disease that can be easily missed, if not specifically looked for in adults, whose initial presentation is combination of myopathic and respiratory symptoms. In clinical practice, patients presenting with coronavirus disease 2019 (COVID-19) symptoms, whose computed tomography (CT) imaging is consistent with COVID-19, were accordingly isolated and treated as COVID-19 awaiting reverse transcription polymerase chain reaction (RT-PCR) results. However, there are many COVID-19 mimics on chest CT, which can make the CT-based diagnosis of COVID-19 unsafe.
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Affiliation(s)
- Mohammed Elsayed
- Diana Princess of Wales Hospital, Grimsby, UK,Corresponding Author: Mohammed Elsayed, Diana Princess of Wales Hospital, Grimsby DN33 2BA, UK.
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12
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Kusmirek JE, Meyer CA. High-Resolution Computed Tomography of Cystic Lung Disease. Semin Respir Crit Care Med 2022; 43:792-808. [PMID: 36252611 DOI: 10.1055/s-0042-1755565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The cystic lung diseases (CLD) are characterized by the presence of multiple, thin-walled, air-filled spaces in the pulmonary parenchyma. Cyst formation may occur with congenital, autoimmune, inflammatory, infectious, or neoplastic processes. Recognition of cyst mimics such as emphysema and bronchiectasis is important to prevent diagnostic confusion and unnecessary evaluation. Chest CT can be diagnostic or may guide the workup based on cyst number, distribution, morphology, and associated lung, and extrapulmonary findings. Diffuse CLD (DCLDs) are often considered those presenting with 10 or more cysts. The more commonly encountered DCLDs include lymphangioleiomyomatosis, pulmonary Langerhans' cell histiocytosis, lymphoid interstitial pneumonia, Birt-Hogg-Dubé syndrome, and amyloidosis/light chain deposition disease.
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Affiliation(s)
- Joanna E Kusmirek
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Cristopher A Meyer
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
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13
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Durhan G, Düzgün SA, Baytar Y, Akpınar MG, Demirkazık FB, Arıyürek OM. Two in one: Overlapping CT findings of COVID-19 and underlying lung diseases. Clin Imaging 2022; 93:60-69. [PMID: 36395576 PMCID: PMC9651998 DOI: 10.1016/j.clinimag.2022.11.005] [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: 05/05/2022] [Revised: 10/28/2022] [Accepted: 11/08/2022] [Indexed: 11/13/2022]
Abstract
Coronavirus disease 2019 (COVID-19) is associated with pneumonia and has various pulmonary manifestations on computed tomography (CT). Although COVID-19 pneumonia is usually seen as bilateral predominantly peripheral ground-glass opacities with or without consolidation, it can present with atypical radiological findings and resemble the imaging findings of other lung diseases. Diagnosis of COVID-19 pneumonia is much more challenging for both clinicians and radiologists in the presence of pre-existing lung disease. The imaging features of COVID-19 and underlying lung disease can overlap and obscure the findings of each other. Knowledge of the radiological findings of both diseases and possible complications, correct diagnosis, and multidisciplinary consensus play key roles in the appropriate management of diseases. In this pictorial review, the chest CT findings are presented of patients with underlying lung diseases and overlapping COVID-19 pneumonia and the various reasons for radiological lung abnormalities in these patients are discussed.
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14
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Kifjak D, Leitner J, Ambros R, Heidinger BH, Milos RI, Beer L, Prayer F, Röhrich S, Prosch H. Röntgenbefunde bei diffusen parenchymatösen Lungenerkrankungen. ZEITSCHRIFT FÜR PNEUMOLOGIE 2022. [PMCID: PMC9386651 DOI: 10.1007/s10405-022-00464-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Klinisches Problem Empfehlungen für die Praxis
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Affiliation(s)
- Daria Kifjak
- Department of Biomedical Imaging and Image-guided Therapy, Medizinische Universität Wien, Wien, Österreich
- Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18–20, 1090 Wien, Österreich
- Department of Radiology, University of Massachusetts Chan Medical School, Worcester, MA USA
| | - Johannes Leitner
- Department of Biomedical Imaging and Image-guided Therapy, Medizinische Universität Wien, Wien, Österreich
- Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18–20, 1090 Wien, Österreich
| | - Raphael Ambros
- Department of Biomedical Imaging and Image-guided Therapy, Medizinische Universität Wien, Wien, Österreich
- Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18–20, 1090 Wien, Österreich
| | - Benedikt H. Heidinger
- Department of Biomedical Imaging and Image-guided Therapy, Medizinische Universität Wien, Wien, Österreich
- Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18–20, 1090 Wien, Österreich
| | - Ruxandra-Iulia Milos
- Department of Biomedical Imaging and Image-guided Therapy, Medizinische Universität Wien, Wien, Österreich
- Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18–20, 1090 Wien, Österreich
| | - Lucian Beer
- Department of Biomedical Imaging and Image-guided Therapy, Medizinische Universität Wien, Wien, Österreich
- Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18–20, 1090 Wien, Österreich
| | - Florian Prayer
- Department of Biomedical Imaging and Image-guided Therapy, Medizinische Universität Wien, Wien, Österreich
- Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18–20, 1090 Wien, Österreich
| | - Sebastian Röhrich
- Department of Biomedical Imaging and Image-guided Therapy, Medizinische Universität Wien, Wien, Österreich
- Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18–20, 1090 Wien, Österreich
| | - Helmut Prosch
- Department of Biomedical Imaging and Image-guided Therapy, Medizinische Universität Wien, Wien, Österreich
- Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18–20, 1090 Wien, Österreich
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15
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Interstitial lung abnormalities and interstitial lung diseases associated with cigarette smoking in a rural cohort undergoing surgical resection. BMC Pulm Med 2022; 22:172. [PMID: 35488260 PMCID: PMC9055776 DOI: 10.1186/s12890-022-01961-9] [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: 02/04/2022] [Accepted: 04/18/2022] [Indexed: 11/26/2022] Open
Abstract
Background Cigarette smoking is a risk factor for interstitial lung abnormalities (ILAs) and interstitial lung diseases (ILDs). Investigation defining the relationships between ILAs/ILDs and clinical, radiographic, and pathologic findings in smokers have been incomplete. Employing a cohort undergoing surgical resection for lung nodules/masses, we (1) define the prevalence of ILAs/ILDs, (2) delineate their clinical, radiographic and pathologic predictors, and (3) determine their associations with mortality. Methods Patients undergoing resection of lung nodules/masses between 2017 and 2020 at a rural Appalachian, tertiary medical center were retrospectively investigated. Predictors for ILAs/ILDs and mortality were assessed using multivariate logistic regression analysis. Results In the total study cohort of 352 patients, radiographic ILAs and ILDs were observed in 35.2% and 17.6%, respectively. Among ILA patterns, subpleural reticular changes (14.8%), non-emphysematous cysts, centrilobular (CL) ground glass opacities (GGOs) (8% each), and mixed CL-GGO and subpleural reticular changes (7.4%) were common. ILD patterns included combined pulmonary fibrosis emphysema (CPFE) (3.1%), respiratory bronchiolitis (RB)-ILD (3.1%), organizing pneumonitis (2.8%) and unclassifiable (4.8%). The group with radiographic ILAs/ILDs had a significantly higher proportion of ever smokers (49% vs. 39.9%), pack years of smoking (44.57 ± 36.21 vs. 34.96 ± 26.22), clinical comorbidities of COPD (35% vs. 26.5%) and mildly reduced diffusion capacity (% predicated 66.29 ± 20.55 vs. 71.84 ± 23). Radiographic centrilobular and paraseptal emphysema (40% vs. 22.2% and 17.6% vs. 9.6%, respectively) and isolated traction bronchiectasis (10.2% vs. 4.2%) were associated with ILAs/ILDs. Pathological variables of emphysema (34.9% vs. 18.5%), any fibrosis (15.9% vs. 4.6%), peribronchiolar metaplasia (PBM, 8% vs. 1.1%), RB (10.3% vs. 2.5%), and anthracosis (21.6% vs. 14.5%) were associated with ILAs/ILDs. Histologic emphysema showed positive correlations with any fibrosis, RB, anthracosis and ≥ 30 pack year of smoking. The group with ILAs/ILDs had significantly higher mortality (9.1% vs. 2.2%, OR 4.13, [95% CI of 1.84–9.25]). Conclusions In a rural cohort undergoing surgical resection, radiographic subclinical ILAs/ILDs patterns were highly prevalent and associated with ever smoking and intensity of smoking. The presence of radiographic ILA/ILD patterns and isolated honeycomb changes were associated with increased mortality. Subclinical ILAs/ILDs and histologic fibrosis correlated with clinical COPD as well as radiographic and pathologic emphysema emphasizing the co-existence of these pulmonary injuries in a heavily smoking population. Supplementary Information The online version contains supplementary material available at 10.1186/s12890-022-01961-9.
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Todd NW, Atamas SP, Hines SE, Luzina IG, Shah NG, Britt EJ, Ghio AJ, Galvin JR. Demystifying idiopathic interstitial pneumonia: time for more etiology-focused nomenclature in interstitial lung disease. Expert Rev Respir Med 2022; 16:235-245. [PMID: 35034567 PMCID: PMC8983480 DOI: 10.1080/17476348.2022.2030710] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
INTRODUCTION A major focus of interstitial lung disease (ILD) has centered on disorders termed idiopathic interstitial pneumonias (IIPs) which include, among others, idiopathic pulmonary fibrosis, idiopathic nonspecific interstitial pneumonia, cryptogenic organizing pneumonia, and respiratory bronchiolitis-interstitial lung disease. AREAS COVERED We review the radiologic and histologic patterns for the nine disorders classified by multidisciplinary approach as IIP, and describe the remarkable amount of published epidemiologic, translational, and molecular studies demonstrating their associations with numerous yet definitive environmental exposures, occupational exposures, pulmonary diseases, systemic diseases, medication toxicities, and genetic variants. EXPERT OPINION In the 21st century, these disorders termed IIPs are rarely idiopathic, but rather are well-described radiologic and histologic patterns of lung injury that are associated with a wide array of diverse etiologies. Accordingly, the idiopathic nomenclature is misleading and confusing, and may also promote a lack of inquisitiveness, suggesting the end rather than the beginning of a thorough diagnostic process to identify ILD etiology and initiate patient-centered management. A shift toward more etiology-focused nomenclature will be beneficial to all, including patients hoping for better life quality and disease outcome, general medicine and pulmonary physicians furthering their ILD knowledge, and expert ILD clinicians and researchers who are advancing the ILD field.
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Affiliation(s)
- Nevins W. Todd
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA,,Baltimore Veterans Affairs Medical Center, Baltimore, Maryland, USA
| | - Sergei P. Atamas
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA,,Baltimore Veterans Affairs Medical Center, Baltimore, Maryland, USA
| | - Stella E. Hines
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Irina G. Luzina
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA,,Baltimore Veterans Affairs Medical Center, Baltimore, Maryland, USA
| | - Nirav G. Shah
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Edward J. Britt
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Andrew J. Ghio
- Environmental Protection Agency, Research Triangle Park, North Carolina, USA
| | - Jeffrey R. Galvin
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA,,Department of Diagnostic Radiology, University of Maryland School of Medicine, Baltimore, Maryland, USA
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Dhanaliwala AH, Sood S, Olivias C, Simpson S, Galperin-Aisenberg M, Torigian D, Zigmund B, Johnson CR, Patterson K, Miller WT. A CT Algorithm Can Elevate the Differential Diagnosis of Interstitial Lung Disease by Non-specialists to Equal That of Specialist Thoracic Radiologists. Acad Radiol 2022; 29 Suppl 2:S181-S190. [PMID: 34429261 DOI: 10.1016/j.acra.2021.07.019] [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: 07/21/2021] [Accepted: 07/22/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Diagnosis of diffuse parenchymal lung diseases (DPLD) on high resolution CT (HRCT) is difficult for non-expert radiologists due to varied presentation for any single disease and overlap in presentation between diseases. RATIONALE AND OBJECTIVES To evaluate whether a pattern-based training algorithm can improve the ability of non-experts to diagnosis of DPLD. MATERIALS AND METHODS Five experts (cardiothoracic-trained radiologists), and 25 non-experts (non-cardiothoracic-trained radiologists, radiology residents, and pulmonologists) were each assigned a semi-random subset of cases from a compiled database of DPLD HRCTs. Each reader was asked to create a top three differential for each case. The non-experts were then given a pattern-based training algorithm for identifying DPLDs. Following training, the non-experts were again asked to create a top three differential for each case that they had previously evaluated. Accuracy between groups was compared using Chi-Square analysis. RESULTS A total of 400 and 1450 studies were read by experts and non-experts, respectively. Experts correctly placed the diagnosis as the first item on the differential versus having the correct diagnosis as one of their top three diagnoses at an overall rate of 48 and 64.3%, respectively. Pre-training, non-experts achieved a correct diagnosis/top three of 32.5 and 49.7%, respectively. Post-training, non-experts demonstrated a correct diagnosis/top three of 41.2 and 65%, a statistically significant increase (p < 0.0001). In addition, post training, there was no difference between non-experts and experts in placing the correct diagnosis within their top three differential. CONCLUSION The diagnosis of DPLDs by HRCT imaging alone is relatively poor. However, use of a pattern-based teaching algorithm can improve non-expert interpretation and enable non-experts to include the correct diagnosis within their differential diagnoses at a rate comparable to expert cardiothoracic trained radiologists.
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Affiliation(s)
- Ali H Dhanaliwala
- University of Pennsylvania Health System, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Silverstein 1, 3400 Spruce St, Philadelphia, PA 19104
| | - Shweta Sood
- University of Pennsylvania Health System, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Silverstein 1, 3400 Spruce St, Philadelphia, PA 19104
| | - Christina Olivias
- Department of Radiology, Mercy Catholic Medical Center, Darby, Pennsylvania
| | - Scott Simpson
- University of Pennsylvania Health System, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Silverstein 1, 3400 Spruce St, Philadelphia, PA 19104
| | - Maya Galperin-Aisenberg
- University of Pennsylvania Health System, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Silverstein 1, 3400 Spruce St, Philadelphia, PA 19104
| | - Drew Torigian
- University of Pennsylvania Health System, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Silverstein 1, 3400 Spruce St, Philadelphia, PA 19104
| | - Beth Zigmund
- Department of Radiology, University of Vermont, Burlington, Vermont
| | - Cheilonda R Johnson
- University of Pennsylvania Health System, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Silverstein 1, 3400 Spruce St, Philadelphia, PA 19104
| | - Karen Patterson
- University of Pennsylvania Health System, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Silverstein 1, 3400 Spruce St, Philadelphia, PA 19104; Brighton and Sussex Medical School, Falmer, Brighton, United Kingdom
| | - Wallace T Miller
- University of Pennsylvania Health System, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Silverstein 1, 3400 Spruce St, Philadelphia, PA 19104.
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Kifjak D, Leitner J, Ambros R, Heidinger BH, Milos RI, Beer L, Prayer F, Röhrich S, Prosch H. [Chest radiography findings in diffuse parenchymal lung diseases]. Radiologe 2022; 62:130-139. [PMID: 34997260 PMCID: PMC8740870 DOI: 10.1007/s00117-021-00955-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/09/2021] [Indexed: 10/28/2022]
Abstract
CLINICAL ISSUE Diffuse parenchymal lung diseases include a heterogeneous group of diseases of the lung parenchyma, the alveolar spaces, the vessels and the airways, which can be triggered by various pathomechanisms, such as inflammation and fibrotic changes. Since the therapeutic approaches and prognoses differ significantly between the diseases, the correct diagnosis is of fundamental importance. In routine clinical practice, next to the patients' history, the clinical presentation, the laboratory findings and the bronchoscopy, imaging plays a central role in establishing a diagnosis. PRACTICAL RECOMMENDATIONS The diagnosis of diffuse parenchymal lung diseases is an enormous challenge for clinicians, radiologists as well as pathologists and should therefore preferably be carried out in a multidisciplinary setting. Since patients often present with unspecific, respiratory symptoms, chest radiographs are the first imaging method used. Many patterns of diffuse parenchymal lung diseases (e.g., ground-glass opacities and consolidations), their distribution (e.g., cranial-caudal) and the presence of additional findings (e.g., mediastinal lymphadenopathy) are often already detectable on chest X‑rays. However, the imaging reference standard and thus, an integral part of the assessment of diffuse parenchymal lung disease, is the chest HR-CT. In some cases, the pattern of the HR-CT is pathognomonic, in others it is unspecific for a disease, so that further diagnostic steps are necessary.
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Affiliation(s)
- Daria Kifjak
- Department of Biomedical Imaging and Image-guided Therapy, Medizinische Universität Wien, Wien, Österreich.,Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18-20, 1090, Wien, Österreich.,Department of Radiology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Johannes Leitner
- Department of Biomedical Imaging and Image-guided Therapy, Medizinische Universität Wien, Wien, Österreich.,Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18-20, 1090, Wien, Österreich
| | - Raphael Ambros
- Department of Biomedical Imaging and Image-guided Therapy, Medizinische Universität Wien, Wien, Österreich.,Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18-20, 1090, Wien, Österreich
| | - Benedikt H Heidinger
- Department of Biomedical Imaging and Image-guided Therapy, Medizinische Universität Wien, Wien, Österreich.,Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18-20, 1090, Wien, Österreich
| | - Ruxandra-Iulia Milos
- Department of Biomedical Imaging and Image-guided Therapy, Medizinische Universität Wien, Wien, Österreich.,Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18-20, 1090, Wien, Österreich
| | - Lucian Beer
- Department of Biomedical Imaging and Image-guided Therapy, Medizinische Universität Wien, Wien, Österreich.,Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18-20, 1090, Wien, Österreich
| | - Florian Prayer
- Department of Biomedical Imaging and Image-guided Therapy, Medizinische Universität Wien, Wien, Österreich.,Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18-20, 1090, Wien, Österreich
| | - Sebastian Röhrich
- Department of Biomedical Imaging and Image-guided Therapy, Medizinische Universität Wien, Wien, Österreich.,Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18-20, 1090, Wien, Österreich
| | - Helmut Prosch
- Department of Biomedical Imaging and Image-guided Therapy, Medizinische Universität Wien, Wien, Österreich. .,Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18-20, 1090, Wien, Österreich.
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Stański M, Gąsiorowski Ł, Wykrętowicz M, Majewska NK, Katulska K. COVID-19 pandemic in flu season. Chest computed tomography - what we know so far. Pol J Radiol 2021; 86:e692-e699. [PMID: 35059062 PMCID: PMC8757012 DOI: 10.5114/pjr.2021.112377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 03/22/2021] [Indexed: 11/17/2022] Open
Abstract
Chest computed tomography (CT) is proven to have high sensitivity in COVID-19 diagnosis. It is available in most emergency wards, and in contrast to polymerase chain reaction (PCR) it can be obtained in several minutes. However, its imaging features change during the course of the disease and overlap with other viral pneumonias, including influenza pneumonia. In this brief analysis we review the recent literature about chest CT features, useful radiological scales, and COVID-19 differentiation with other viral infections.
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Affiliation(s)
- Marcin Stański
- Correspondence address: Marcin Stański, Department of General Radiology and Neuroradiology, Poznan University of Medical Sciences, Poznan, Poland, e-mail:
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20
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Uemasu K, Yasuda Y, Hirayama Y, Arasawa S, Iwashima D, Takahashi KI. Post-COVID-19 interstitial lung disease presenting with profound hypoxemia: Report of three cases demonstrating a good response to high-dose corticosteroid therapy. J Infect Chemother 2021; 28:321-325. [PMID: 34810106 PMCID: PMC8598950 DOI: 10.1016/j.jiac.2021.11.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 10/12/2021] [Accepted: 11/04/2021] [Indexed: 12/26/2022]
Abstract
Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which leads to critical pneumonia, although the clinical courses vary. In some cases, COVID-19 pneumonia causes secondary pulmonary fibrosis, which can retain radiological changes and prolong respiratory symptoms. Interstitial lung disease (ILD) secondary to COVID-19 is thought to be caused by multiple pathologies, such as excessive cytokines and abnormal repair processes elaborated by lung cells (epithelium, mesenchyme, and alveolar macrophages) after lung injury rather than viral invasion itself. Immunosuppression therapy may improve chronic respiratory symptoms and radiological changes in post-COVID-19 ILD, although the treatment is not yet established. Herein, we report three patients with post-COVID-19 ILD who presented with profound hypoxemia that had a good response to high-dose corticosteroid therapy. Further and larger studies are needed to establish post-COVID-19 ILD.
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Affiliation(s)
- Kiyoshi Uemasu
- Department of Respiratory Medicine, Kishiwada City Hospital, Japan.
| | - Yuto Yasuda
- Department of Respiratory Medicine, Kishiwada City Hospital, Japan
| | - Yutaka Hirayama
- Department of Respiratory Medicine, Kishiwada City Hospital, Japan
| | - Soichi Arasawa
- Department of Gastroenterology, Kishiwada City Hospital, Japan
| | - Daisuke Iwashima
- Department of Respiratory Medicine, Kishiwada City Hospital, Japan
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21
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Utility of a Deep Learning Algorithm for Detection of Reticular Opacity on Chest Radiograph in Patients with Interstitial Lung Disease. AJR Am J Roentgenol 2021; 218:642-650. [PMID: 34668769 DOI: 10.2214/ajr.21.26682] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Background: Deep learning has been heavily explored for pulmonary nodule detection on chest radiograph. Reticular opacity detection in interstitial lung disease (ILD) is challenging and may also benefit from a deep learning algorithm (DLA). Objective: To evaluate the utility of DLA for detection of reticular opacity on chest radiographs in patients with surgically confirmed ILD. Methods: This retrospective study included 197 patients (130 men, 67 women; mean age 62.6±7.6 years) with surgically proven ILD between January 2017 and December 2018 who underwent preoperative chest radiograph and chest CT within a 30-day interval. A total of 197 age- and sex-matched control patients with normal chest radiographs were randomly selected. Commercially available DLA was used to detect lower lobe or subpleural abnormalities; those matching reticular opacity location on CT were deemed true-positives. Six readers (three thoracic radiologists; three residents) independently reviewed radiographs for reticular opacity presence with and without DLA. Interobserver agreement was assessed. Diagnostic performance was compared among interpretations. Subanalysis was performed according to CT-based classification of reticular opacity severity. DLA performance was also assessed in 102 chest radiographs from a different institution (51 with ILD; 51 matched controls). Results: Interobserver agreement was moderate (κ=0.517) for readers alone versus almost perfect (κ=0.870) for readers with DLA. Sensitivity, specificity, and accuracy for reticular opacity for DLA were 98.0%, 99.0%, and 98.5%; for pooled readers alone were 77.3%, 92.3%, and 84.8%; and for readers with DLA were 93.8%, 97.3%, and 95.6%. All metrics were significantly better (all p≤.002) for DLA and for readers with DLA compared with readers alone. Sensitivity for readers without and with DLA were 66.7% and 86.8% in mild disease, 84.2% and 98.8% in moderate disease, and 87.3% and 100.0% in severe disease. DLA exhibited 100.0% accuracy in the cases from the second center. Conclusions: DLA outperformed readers in reticular opacity detection, and use of DLA improved reader performance and interobservser agreement. Benefit of DLA was more notable in terms of sensitivity than specificity and was maintained in mild disease. Clinical Impact: Use of DLA may facilitate detection of reticular opacity on chest radiograph in the early stages of ILD.
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22
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Guarnera A, Santini E, Podda P. Idiopathic Interstitial Pneumonias and COVID-19 Pneumonia: Review of the Main Radiological Features and Differential Diagnosis. Tomography 2021; 7:397-411. [PMID: 34564297 PMCID: PMC8482091 DOI: 10.3390/tomography7030035] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 07/28/2021] [Accepted: 08/16/2021] [Indexed: 01/08/2023] Open
Abstract
COVID-19 pneumonia represents a challenging health emergency, due to the disproportion between the high transmissibility, morbidity, and mortality of the virus and healthcare systems possibilities. Literature has mainly focused on COVID-19 pneumonia clinical-radiological diagnosis and therapy, and on the most common differential diagnoses, while few papers investigated rare COVID-19 pneumonia differential diagnoses or the overlapping of COVID-19 pneumonia on pre-existing lung pathologies. This article presents the main radiological characteristics of COVID-19 pneumonia and Idiopathic Interstitial Pneumonias (IIPs) to identify key radiological features for a differential diagnosis among IIPs, and between IIPs and COVID-19 pneumonia. COVID-19 pneumonia differential diagnosis with IIPs is challenging, since these entities may share common radiological findings as ground glass opacities, crazy paving patterns, and consolidations. Multidisciplinary discussion is crucial to reach a final and correct diagnosis. Radiologists have a pivotal role in identifying COVID-19 pneumonia patterns, reporting possible overlapping with long-lasting lung diseases, and suggesting potential differential diagnoses. An optimal evaluation of HRTC may help in containing the disease, in promoting better treatment for patients, and in providing an efficient allocation of human and economic resources.
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Affiliation(s)
- Alessia Guarnera
- Radiology Department, San Giovanni Addolorata Hospital, 00184 Rome, Italy; (E.S.); (P.P.)
- Neuroradiology Unit, NESMOS Department, Sant’Andrea Hospital, La Sapienza University, 00189 Rome, Italy
- Correspondence:
| | - Elena Santini
- Radiology Department, San Giovanni Addolorata Hospital, 00184 Rome, Italy; (E.S.); (P.P.)
| | - Pierfrancesco Podda
- Radiology Department, San Giovanni Addolorata Hospital, 00184 Rome, Italy; (E.S.); (P.P.)
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23
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Montero P, Milara J, Roger I, Cortijo J. Role of JAK/STAT in Interstitial Lung Diseases; Molecular and Cellular Mechanisms. Int J Mol Sci 2021; 22:6211. [PMID: 34207510 PMCID: PMC8226626 DOI: 10.3390/ijms22126211] [Citation(s) in RCA: 156] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 06/04/2021] [Accepted: 06/05/2021] [Indexed: 02/07/2023] Open
Abstract
Interstitial lung diseases (ILDs) comprise different fibrotic lung disorders characterized by cellular proliferation, interstitial inflammation, and fibrosis. The JAK/STAT molecular pathway is activated under the interaction of a broad number of profibrotic/pro-inflammatory cytokines, such as IL-6, IL-11, and IL-13, among others, which are increased in different ILDs. Similarly, several growth factors over-expressed in ILDs, such as platelet-derived growth factor (PDGF), transforming growth factor β1 (TGF-β1), and fibroblast growth factor (FGF) activate JAK/STAT by canonical or non-canonical pathways, which indicates a predominant role of JAK/STAT in ILDs. Between the different JAK/STAT isoforms, it appears that JAK2/STAT3 are predominant, initiating cellular changes observed in ILDs. This review analyzes the expression and distribution of different JAK/STAT isoforms in ILDs lung tissue and different cell types related to ILDs, such as lung fibroblasts and alveolar epithelial type II cells and analyzes JAK/STAT activation. The effect of JAK/STAT phosphorylation on cellular fibrotic processes, such as proliferation, senescence, autophagy, endoplasmic reticulum stress, or epithelial/fibroblast to mesenchymal transition will be described. The small molecules directed to inhibit JAK/STAT activation were assayed in vitro and in in vivo models of pulmonary fibrosis, and different JAK inhibitors are currently approved for myeloproliferative disorders. Recent evidence indicates that JAK inhibitors or monoclonal antibodies directed to block IL-6 are used as compassionate use to attenuate the excessive inflammation and lung fibrosis related to SARS-CoV-2 virus. These altogether indicate that JAK/STAT pathway is an attractive target to be proven in future clinical trials of lung fibrotic disorders.
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Affiliation(s)
- Paula Montero
- Department of Pharmacology, Faculty of Medicine, University of Valencia, 46010 Valencia, Spain; (I.R.); (J.C.)
| | - Javier Milara
- Department of Pharmacology, Faculty of Medicine, University of Valencia, 46010 Valencia, Spain; (I.R.); (J.C.)
- Biomedical Research Networking Centre on Respiratory Diseases (CIBERES), Health Institute Carlos III, 28029 Madrid, Spain
- Pharmacy Unit, University General Hospital Consortium of Valencia, 46014 Valencia, Spain
| | - Inés Roger
- Department of Pharmacology, Faculty of Medicine, University of Valencia, 46010 Valencia, Spain; (I.R.); (J.C.)
- Biomedical Research Networking Centre on Respiratory Diseases (CIBERES), Health Institute Carlos III, 28029 Madrid, Spain
| | - Julio Cortijo
- Department of Pharmacology, Faculty of Medicine, University of Valencia, 46010 Valencia, Spain; (I.R.); (J.C.)
- Biomedical Research Networking Centre on Respiratory Diseases (CIBERES), Health Institute Carlos III, 28029 Madrid, Spain
- Research and Teaching Unit, University General Hospital Consortium, 46014 Valencia, Spain
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24
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Ley-Zaporozhan J, Giannakis A, Norajitra T, Weinheimer O, Kehler L, Dinkel J, Ganter C, Ley S, Van Lunteren C, Eichinger M, Heussel G, Kauczor HU, Maier-Hein KH, Kreuter M, Heussel CP. Fully Automated Segmentation of Pulmonary Fibrosis Using Different Software Tools. Respiration 2021; 100:580-587. [PMID: 33857945 DOI: 10.1159/000515182] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 02/07/2021] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE Evaluation of software tools for segmentation, quantification, and characterization of fibrotic pulmonary parenchyma changes will strengthen the role of CT as biomarkers of disease extent, evolution, and response to therapy in idiopathic pulmonary fibrosis (IPF) patients. METHODS 418 nonenhanced thin-section MDCTs of 127 IPF patients and 78 MDCTs of 78 healthy individuals were analyzed through 3 fully automated, completely different software tools: YACTA, LUFIT, and IMBIO. The agreement between YACTA and LUFIT on segmented lung volume and 80th (reflecting fibrosis) and 40th (reflecting ground-glass opacity) percentile of the lung density histogram was analyzed using Bland-Altman plots. The fibrosis and ground-glass opacity segmented by IMBIO (lung texture analysis software tool) were included in specific regression analyses. RESULTS In the IPF-group, LUFIT outperformed YACTA by segmenting more lung volume (mean difference 242 mL, 95% limits of agreement -54 to 539 mL), as well as quantifying higher 80th (76 HU, -6 to 158 HU) and 40th percentiles (9 HU, -73 to 90 HU). No relevant differences were revealed in the control group. The 80th/40th percentile as quantified by LUFIT correlated positively with the percentage of fibrosis/ground-glass opacity calculated by IMBIO (r = 0.78/r = 0.92). CONCLUSIONS In terms of segmentation of pulmonary fibrosis, LUFIT as a shape model-based segmentation software tool is superior to the threshold-based YACTA, tool, since the density of (severe) fibrosis is similar to that of the surrounding soft tissues. Therefore, shape modeling as used in LUFIT may serve as a valid tool in the quantification of IPF, since this mainly affects the subpleural space.
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Affiliation(s)
- Julia Ley-Zaporozhan
- Department Radiology, University Hospital, LMU Munich, Munich, Germany.,Comprehensive Pneumology Center (CPC), Member of the German Center of Lung Research (DZL), Munich, Germany
| | - Athanasios Giannakis
- Center for Interstitial and Rare Lung Diseases, Thoraxklinik at University of Heidelberg, Heidelberg, Germany.,Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany.,Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
| | - Tobias Norajitra
- Division of Medical and Biological Informatics (E130), German Cancer Research Center (DFKZ), Heidelberg, Germany
| | - Oliver Weinheimer
- Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany.,Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
| | - Lars Kehler
- Center for Interstitial and Rare Lung Diseases, Thoraxklinik at University of Heidelberg, Heidelberg, Germany.,Pneumology and Respiratory Critical Care Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Julien Dinkel
- Department Radiology, University Hospital, LMU Munich, Munich, Germany.,Comprehensive Pneumology Center (CPC), Member of the German Center of Lung Research (DZL), Munich, Germany
| | - Claudia Ganter
- Center for Interstitial and Rare Lung Diseases, Thoraxklinik at University of Heidelberg, Heidelberg, Germany.,Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany.,Pneumology and Respiratory Critical Care Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Sebastian Ley
- Department Radiology, University Hospital, LMU Munich, Munich, Germany.,Diagnostische und Interventionelle Radiologie, Artemed Klinikum München Süd, Munich, Germany
| | - Csilla Van Lunteren
- Biometrie des Instituts für Medizinische Biometrie und Informatik (IMBI), Heidelberg, Germany
| | - Monika Eichinger
- Center for Interstitial and Rare Lung Diseases, Thoraxklinik at University of Heidelberg, Heidelberg, Germany.,Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany.,Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
| | - Gudula Heussel
- Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany.,Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany
| | - Hans-Ulrich Kauczor
- Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany.,Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
| | - Klaus H Maier-Hein
- Division of Medical and Biological Informatics (E130), German Cancer Research Center (DFKZ), Heidelberg, Germany
| | - Michael Kreuter
- Center for Interstitial and Rare Lung Diseases, Thoraxklinik at University of Heidelberg, Heidelberg, Germany.,Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany.,Pneumology and Respiratory Critical Care Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Claus Peter Heussel
- Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany.,Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), University of Heidelberg, Heidelberg, Germany.,Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
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25
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Prone position [ 18F]FDG PET/CT to reduce respiratory motion artefacts in the evaluation of lung nodules. Eur Radiol 2021; 31:4606-4614. [PMID: 33852046 DOI: 10.1007/s00330-021-07894-x] [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: 11/27/2020] [Revised: 01/09/2021] [Accepted: 03/15/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVES 2-Deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) positron-emission tomography/computed tomography (PET/CT) is widely used to evaluate lung nodules, although respiratory motion artefacts may occur. We investigated the value of prone position PET/CT (pPET/CT) in lung nodule evaluation compared with standard supine position PET/CT (sPET/CT). METHODS We retrospectively reviewed 28 consecutive patients (20 men; age, 65.6 ± 12.1 years) with a lung nodule (size, 16.8 ± 5.5 mm) located below the sub-carinal level who underwent [18F]FDG PET/CT in a standard supine position and additional prone position. The maximum standardised uptake value (SUVmax), metabolic tumour volume (MTV), difference of diaphragm position between PET and CT (DDP), Dice's similarity coefficient (DSC) and occurrence of mis-registration were analysed. The [18F]FDG uptake of 20 biopsy-confirmed (15 malignant) nodules was evaluated visually. RESULTS pPET/CT yielded a significantly higher SUVmax, lower MTV and shorter DDP than with sPET/CT (p = 0.043, 0.007 and 0.021, respectively). Mis-registration occurred in 53.6% of cases in sPET/CT and in 28.6% of cases in pPET/CT (p = 0.092). Among the 15 patients with mis-registration in sPET/CT, 10 patients (66.7%) did not show mis-registration in pPET/CT. DSC was higher in pPET/CT than in sPET/CT in 18 out of 28 patients (64.3%). In visual analysis, malignant nodules exhibited a higher [18F]FDG uptake positivity than benign nodules in pPET/CT (93.3% vs. 40.0%, p = 0.032) but not in sPET/CT (80.0% vs. 40.0%, p = 0.131). CONCLUSIONS pPET/CT reduces respiratory motion artefact and enables more-precise measurements of PET parameters. KEY POINTS • In prone position PET/CT, the decrease in the blurring effect caused by reduced respiratory motion resulted in a higher SUVmax and lower MTV in lung nodules than that with supine position PET/CT. • Prone position PET/CT was useful to interpret correctly malignant lung nodules as being positive in individual cases that had a negative result in supine position PET/CT.
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26
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Elmokadem AH, Batouty NM, Bayoumi D, Gadelhak BN, Abdel-Wahab RM, Zaky M, Abo-Hedibah SA, Ehab A, El-Morsy A. Mimickers of novel coronavirus disease 2019 (COVID-19) on chest CT: spectrum of CT and clinical features. Insights Imaging 2021; 12:12. [PMID: 33533965 PMCID: PMC7856625 DOI: 10.1186/s13244-020-00956-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 12/14/2020] [Indexed: 12/19/2022] Open
Abstract
COVID-19 (coronavirus disease 2019) is a recently emerged pulmonary infection caused by severe acute respiratory syndrome coronavirus (SARS-CoV-2). It started in Wuhan, China, in December 2019 and led to a highly contagious disease. Since then COVID-19 continues to spread, causing exponential morbidity and mortality and threatening economies worldwide. While the primary diagnostic test for COVID-19 is the reverse transcriptase-polymerase chain reaction (RT-PCR) assay, chest CT has proven to be a diagnostic tool of high sensitivity. A variety of conditions demonstrates CT features that are difficult to differentiate from COVID-19 rendering CT to be of low specificity. Radiologists and physicians should be aware of imaging patterns of these conditions to prevent an erroneous diagnosis that could adversely influence management and patients' outcome. Our purpose is to provide a practical review of the conditions that mimic COVID-19. A brief description of the forementioned clinical conditions with their CT features will be included.
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Affiliation(s)
- Ali H Elmokadem
- Department of Radiology, Mansoura University, Elgomhoria St., Mansoura, 35516, Egypt.
- Department of Radiology, Farwaniya Hospital, Al Farwaniyah , Kuwait.
| | - Nihal M Batouty
- Department of Radiology, Mansoura University, Elgomhoria St., Mansoura, 35516, Egypt
| | - Dalia Bayoumi
- Department of Radiology, Mansoura University, Elgomhoria St., Mansoura, 35516, Egypt
| | - Basma N Gadelhak
- Department of Radiology, Mansoura University, Elgomhoria St., Mansoura, 35516, Egypt
| | - Rihame M Abdel-Wahab
- Department of Radiology, Mansoura University, Elgomhoria St., Mansoura, 35516, Egypt
| | - Mona Zaky
- Department of Radiology, Mansoura University, Elgomhoria St., Mansoura, 35516, Egypt
| | - Sherif A Abo-Hedibah
- Department of Radiology, Farwaniya Hospital, Al Farwaniyah , Kuwait
- Department of Radiology, Cairo University, Giza, Egypt
| | - Ahmed Ehab
- Pulmonary Medicine Department, Mansoura University, Mansoura, Egypt
- Pulmonary Medicine Department, Loewenstein Lung Center, Löwenstein, Germany
| | - Ahmed El-Morsy
- Department of Radiology, Mansoura University, Elgomhoria St., Mansoura, 35516, Egypt
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27
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Hochhegger B, Zanon M, Altmayer S, Mandelli NS, Stüker G, Mohammed TL, Verma N, Meirelles GSP, Marchiori E. COVID-19 mimics on chest CT: a pictorial review and radiologic guide. Br J Radiol 2020; 94:20200703. [PMID: 33296607 DOI: 10.1259/bjr.20200703] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Chest imaging is often used as a complementary tool in the evaluation of coronavirus disease 2019 (COVID-19) patients, helping physicians to augment their clinical suspicion. Despite not being diagnostic for COVID-19, chest CT may help clinicians to isolate high suspicion patients with suggestive imaging findings. However, COVID-19 findings on CT are also common to other pulmonary infections and non-infectious diseases, and radiologists and point-of-care physicians should be aware of possible mimickers. This state-of-the-art review goal is to summarize and illustrate possible etiologies that may have a similar pattern on chest CT as COVID-19. The review encompasses both infectious etiologies, such as non-COVID viral pneumonia, Mycoplasma pneumoniae, Pneumocystis jiroveci, and pulmonary granulomatous infectious, and non-infectious disorders, such as pulmonary embolism, fat embolism, cryptogenic organizing pneumonia, non-specific interstitial pneumonia, desquamative interstitial pneumonia, and acute and chronic eosinophilic pneumonia.
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Affiliation(s)
- Bruno Hochhegger
- Graduate Program in Pathology, Federal University of Health Sciences of Porto Alegre - R. Sarmento Leite, Porto Alegre, Brazil.,Department of Radiology, Pontificia Universidade Catolica do Rio Grande do Sul, Porto Alegre, Brazil
| | - Matheus Zanon
- Graduate Program in Pathology, Federal University of Health Sciences of Porto Alegre - R. Sarmento Leite, Porto Alegre, Brazil
| | - Stephan Altmayer
- Department of Radiology, Pontificia Universidade Catolica do Rio Grande do Sul, Porto Alegre, Brazil
| | - Nicole S Mandelli
- Department of Radiology, Pontificia Universidade Catolica do Rio Grande do Sul, Porto Alegre, Brazil
| | - Guilherme Stüker
- Department of Radiology, Pontificia Universidade Catolica do Rio Grande do Sul, Porto Alegre, Brazil
| | - Tan-Lucien Mohammed
- Department of Radiology, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Nupur Verma
- Department of Radiology, College of Medicine, University of Florida, Gainesville, FL, USA
| | | | - Edson Marchiori
- Department of Radiology, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
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28
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Rea G, De Martino M, Capaccio A, Dolce P, Valente T, Castaldo S, Canora A, Lassandro F, Bocchino M. Comparative analysis of density histograms and visual scores in incremental and volumetric high-resolution computed tomography of the chest in idiopathic pulmonary fibrosis patients. Radiol Med 2020; 126:599-607. [PMID: 33252712 PMCID: PMC7700912 DOI: 10.1007/s11547-020-01307-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Accepted: 11/15/2020] [Indexed: 11/30/2022]
Abstract
Background Volumetric high-resolution computed tomography (HRCT) of the chest has recently replaced incremental CT in the diagnostic workup of idiopathic pulmonary fibrosis (IPF). Concomitantly, visual and quantitative scores have been proposed for disease extent assessment to ameliorate disease management. Purpose To compare the performance of density histograms (mean lung attenuation, skewness, and kurtosis) and visual scores, along with lung function correlations, in IPF patients submitted to incremental or volumetric thorax HRCT. Material and methods Clinical data and CT scans of 89 newly diagnosed and therapy-naive IPF patients were retrospectively evaluated. Results Forty-six incremental and 43 volumetric CT scans were reviewed. No differences of density histograms and visual scores estimates were found by comparing two HRCT techniques, with an optimal inter-operator agreement (concordance correlation coefficient >0.90 in all instances). Single-breath diffusing lung capacity for carbon monoxide (DLCOsb) was inversely related with the Best score (r = −00.416; p = 0.014), the Kazerooni fibrosis extent (r = −0.481; p = 0.004) and the mean lung attenuation (r = −0.382; p = 0.026), while a positive correlation was observed with skewness (r = 0.583; p = 0.001) and kurtosis (r = 0.543; p = 0.001) in the incremental HRCT sub-group. Similarly, in the volumetric CT sub-cohort, DLCOsb was significantly associated with skewness (r = 0.581; p = 0.007) and kurtosis (r = 0.549; p = 0.018). Correlations with visual scores were not confirmed. Forced vital capacity significantly related to all density indices independently on HRCT technique.
Conclusions Density histograms and visual scores similarly perform in incremental and volumetric HRCT. Density quantification displays an optimal reproducibility and proves to be superior to visual scoring as more strongly correlated with lung function.
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Affiliation(s)
- Gaetano Rea
- Dipartimento Dei Servizi Diagnostici E Generali, Ospedali dei Colli, Monaldi-Cotugno, Napoli, Italy
| | - Marina De Martino
- Dipartimento Di Medicina Clinica E Chirurgia, Sezione Di Malattie Dell'Apparato Respiratorio, Università Federico II, Napoli, Italy
| | - Annalisa Capaccio
- Dipartimento Di Medicina Clinica E Chirurgia, Sezione Di Malattie Dell'Apparato Respiratorio, Università Federico II, Napoli, Italy
| | - Pasquale Dolce
- Dipartimento Di Sanità Pubblica, Università Federico II, Napoli, Italy
| | - Tullio Valente
- Dipartimento Dei Servizi Diagnostici E Generali, Ospedali dei Colli, Monaldi-Cotugno, Napoli, Italy
| | - Sabrina Castaldo
- Dipartimento Di Medicina Clinica E Chirurgia, Sezione Di Malattie Dell'Apparato Respiratorio, Università Federico II, Napoli, Italy
| | - Angelo Canora
- Dipartimento Di Medicina Clinica E Chirurgia, Sezione Di Malattie Dell'Apparato Respiratorio, Università Federico II, Napoli, Italy
| | - Francesco Lassandro
- Dipartimento Dei Servizi Diagnostici E Generali, Ospedali dei Colli, Monaldi-Cotugno, Napoli, Italy
| | - Marialuisa Bocchino
- Dipartimento Di Medicina Clinica E Chirurgia, Sezione Di Malattie Dell'Apparato Respiratorio, Università Federico II, Napoli, Italy.
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Mehrabi S, Fontana S, Mambrin F, Nguyen HQ, Righi E, Tacconelli E, Mansueto G. Pitfalls of Computed Tomography in the Coronavirus 2019 (COVID-19) Era: A New Perspective on Ground-Glass Opacities. Cureus 2020; 12:e8151. [PMID: 32550070 PMCID: PMC7294903 DOI: 10.7759/cureus.8151] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 05/16/2020] [Indexed: 11/05/2022] Open
Abstract
Aim To study ground-glass opacities (GGO) not only from the coronavirus 2019 (COVID-19) pneumonia" perspective but also as a radiological presentation of other pathologies with comparable features. Methods We enrolled 33 patients admitted to Policlinico Universitario G. B. Rossi who underwent non-contrast-enhanced (NCE) or contrast-enhanced (CE) chest computed tomography (CT) between March 12 and April 12. All patients with CT-detected ground-glass opacity (GGO) were included. All patients resulted as COVID-19 negative at the reverse transcription-polymerase chain reaction (RT-PCR) assay. We studied the different pathologies underlying GGO features: neoplastic diseases and non-neoplastic diseases (viral pneumonias, interstitial pneumonias, and cardiopulmonary diseases) in order to avoid pitfalls and to reach the correct diagnosis. Results All CT scans detected GGOs. Symptomatic patients were 25/33 (75.7%). At the clinical presentation, they reported fever and dry cough; in six out of 25 cases, dyspnea was also reported (24%). Thirty-three (33; 100%) showed GGO at CT: 15/33 (45.45%) presented pure GGO, and 18/33 (54.54%) showed GGO with consolidation. The RT-PCR assay was negative in 100%. We investigated other potential underlying diseases to explain imaging features: neoplastic causes (8/33, 24.24%) and non-neoplastic causes, in particular, infectious pneumonias (16/33, 48,48 %, viral and fungal), interstitial pneumonias (4/33, 12,12%), and cardio-pulmonary disease (5/33, 15,15%). Conclusions GGO remains a diagnostic challenge. Although CT represents a fundamental diagnostic tool because of its sensitivity, it still needs to be integrated with clinical data to achieve the best clinical management. In the presence of typical imaging features (e.g. GGO and consolidation), the radiologist should focus on the pandemic and manage a suspect patient as COVID-19 positive until proven to be negative.
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Affiliation(s)
- Sara Mehrabi
- Radiology, Azienda Ospedaliera Universitaria Integrata Verona, Verona, ITA
| | - Silvia Fontana
- Radiology, Azienda Ospedaliera Universitaria Integrata Verona, Verona, ITA
| | - Francesca Mambrin
- Radiology, Azienda Ospedaliera Universitaria Integrata Verona, Verona, ITA
| | - Hoang Quyen Nguyen
- Radiology, Azienda Ospedaliera Universitaria Integrata Verona, Verona, ITA
| | - Elda Righi
- Infectious Diseases, Azienda Ospedaliera Universitaria Integrata Verona, Verona, ITA
| | - Evelina Tacconelli
- Infectious Diseases, Azienda Ospedaliera Universitaria Integrata Verona, Verona, ITA
| | - Giancarlo Mansueto
- Radiology, Azienda Ospedaliera Universitaria Integrata Verona, Verona, ITA
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30
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Presentation and Diagnosis of Interstitial Lung Diseases. THORACIC RADIOLOGY 2020. [PMCID: PMC7120201 DOI: 10.1007/978-3-030-35765-8_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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31
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McFarlane IM, Zhaz SY, Bhamra MS, Burza A, Kolla S, Alvarez MR, Koci K, Taklalsingh N, Pathiparampil J, Freeman L, Kaplan I, Kabani N, Ozeri DJ, Watler E, Frefer M, Vaitkus V, Matthew K, Arroyo-Mercado F, Lyo H, Zrodlowski T, Feoktistov A, Sanchez R, Sorrento C, Soliman F, Valdez FR, Dronamraju V, Trevisonno M, Grant C, Clerger G, Amin K, Dawkins M, Green J, Moon J, Fahmy S, Waite SA. Assessment of interstitial lung disease among black rheumatoid arthritis patients. Clin Rheumatol 2019; 38:3413-3424. [PMID: 31471819 DOI: 10.1007/s10067-019-04760-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 08/01/2019] [Accepted: 08/20/2019] [Indexed: 12/31/2022]
Abstract
BACKGROUND Conflicting reports exist regarding the racial and the gender distribution of rheumatoid arthritis-related interstitial lung disease (RA-ILD). In a major population study of predominately Whites, RA-ILD was reported mainly among smoker middle-aged men. However, recent data suggest that the disease is that of elderly women. Our study aimed to assess the prevalence and identify the gender differences and clinical characteristics of RA-ILD in a predominantly Black population. METHODS Cross-sectional analysis of data obtained from the records of 1142 patients with RA diagnosis by ICD codes of which 503 cases met the inclusion criteria for the study. Eighty-six patients had chronic respiratory symptoms of cough and dyspnea and were further assessed by our multidisciplinary group of investigators. Thirty-two subjects with an established diagnosis of rheumatoid arthritis met the diagnostic criteria for interstitial lung disease. RESULTS Of the 32 patients with RA-ILD, mean age was 62.6 ± 2.2 (± SEM), 93.7% were females, and 89% Blacks with a BMI = 29.2 (Kg/m2). Usual interstitial pneumonia (UIP) was found in 24/32 (75%) of the cases. Seventy-two percent of the RA-ILD patient had seropositive RA. Smoking history was reported in 31.3% of the cohort, gastroesophageal reflux disease (GERD) in 32.3%, and cardiovascular disease (CVD) risk factors in 65.6%. CONCLUSION Our study indicates RA-ILD among Blacks is predominantly a disease of elderly females with higher rates of GERD and CVD risk factors. Further studies are needed to identify the pathogenetic differences accounting for the gender distribution of RA-ILD among Black and White populations.Key Points• First study to assess ILD among predominantly Black RA patients.• The prevalence of RA-associated ILD was 6.36%, affecting mostly women in their sixth decade with seropositive disease.• COPD was the most common airway disease among non-RA-ILD Black population.• GERD was found in approximately one-third of patients with RA-associated ILD versus one-fifth of those RA patients without any lung disease.
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Affiliation(s)
- Isabel M McFarlane
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA. .,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA.
| | - Su Yien Zhaz
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Samaritan Medical Center Department of Rheumatology, Watertown, NY, 13601, USA
| | - Manjeet S Bhamra
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Aaliya Burza
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Medicine, Division of Pulmonary and Critical Care State, SUNY Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Srinivas Kolla
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Radiology, SUNY Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Milena Rodriguez Alvarez
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Kristaq Koci
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Nicholas Taklalsingh
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Joshy Pathiparampil
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Latoya Freeman
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Ian Kaplan
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Naureen Kabani
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - David J Ozeri
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Sheba Medical Center, 6100000, Tel Aviv, Israel
| | - Elsie Watler
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Mosab Frefer
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Vytas Vaitkus
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Keron Matthew
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Fray Arroyo-Mercado
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Helen Lyo
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Tomasz Zrodlowski
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Aleksander Feoktistov
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Randolph Sanchez
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Rheumatology, Hahnemann Hospital, Philadelphia, PA, 19019, USA
| | - Cristina Sorrento
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Faisal Soliman
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Geriatrics, New York Presbyterian Brooklyn Methodist Hospital, Brooklyn, NY, 11201, USA
| | - Felix Reyes Valdez
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Family and Social Medicine, Montefiore Medical Center Albert Einstein College of Medicine, Bronx, NY, 10468, USA
| | - Veena Dronamraju
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Michael Trevisonno
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Christon Grant
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Guerrier Clerger
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Khabbab Amin
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Makeda Dawkins
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Jason Green
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Jane Moon
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Internal Medicine, Division of Rheumatology, SUNY-Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Samir Fahmy
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Medicine, Division of Pulmonary and Critical Care State, SUNY Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
| | - Stephen Anthony Waite
- Department of Internal Medicine, Division of Rheumatology, Division of Pulmonary and Critical Care and Division of Radiology, State University of New York Downstate Medical Center and New York City Health & Hospitals Kings County, Brooklyn, NY, 11203, USA.,Department of Radiology, SUNY Downstate Medical Center, Health & Hospitals Kings County, Brooklyn, NY, 11201, USA
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32
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Nathan N, Sileo C, Thouvenin G, Berdah L, Delestrain C, Manali E, Papiris S, Léger PL, Pointe HDL, l'Hermine AC, Clement A. Pulmonary Fibrosis in Children. J Clin Med 2019; 8:E1312. [PMID: 31455000 PMCID: PMC6780823 DOI: 10.3390/jcm8091312] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Revised: 08/14/2019] [Accepted: 08/21/2019] [Indexed: 12/20/2022] Open
Abstract
: Pulmonary fibrosis (PF) is a very rare condition in children, which may be observed in specific forms of interstitial lung disease. None of the clinical, radiological, or histological descriptions used for PF diagnosis in adult patients, especially in situations of idiopathic PF, can apply to pediatric situations. This observation supports the view that PF expression may differ with age and, most likely, may cover distinct entities. The present review aims at summarizing the current understanding of PF pathophysiology in children and identifying suitable diagnostic criteria.
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Affiliation(s)
- Nadia Nathan
- Pediatric Pulmonology Department, Reference Center for Rare Lung Diseases (RespiRare), Armand Trousseau Hospital, Assistance Publique Hôpitaux de Paris (AP-HP), 75012 Paris, France.
- Inserm UMR_S933, Sorbonne Université, 75012 Paris, France.
| | - Chiara Sileo
- Pediatric Radiology Department, Armand Trousseau Hospital, AP-HP, 75012 Paris, France
| | - Guillaume Thouvenin
- Pediatric Pulmonology Department, Reference Center for Rare Lung Diseases (RespiRare), Armand Trousseau Hospital, Assistance Publique Hôpitaux de Paris (AP-HP), 75012 Paris, France
| | - Laura Berdah
- Pediatric Pulmonology Department, Reference Center for Rare Lung Diseases (RespiRare), Armand Trousseau Hospital, Assistance Publique Hôpitaux de Paris (AP-HP), 75012 Paris, France
| | - Céline Delestrain
- Pediatric Pulmonology Department, Reference Center for Rare Lung Diseases (RespiRare), Armand Trousseau Hospital, Assistance Publique Hôpitaux de Paris (AP-HP), 75012 Paris, France
| | - Effrosyne Manali
- nd Pulmonary Medicine Department, General University Hospital "Attikon", Medical School, National and Kapodistrian University of Athens, 12462 Athens, Greece
| | - Spyros Papiris
- nd Pulmonary Medicine Department, General University Hospital "Attikon", Medical School, National and Kapodistrian University of Athens, 12462 Athens, Greece
| | - Pierre-Louis Léger
- Intensive Care Unit, Armand Trousseau Hospital, AP-HP, 75012 Paris, France
| | | | | | - Annick Clement
- Pediatric Pulmonology Department, Reference Center for Rare Lung Diseases (RespiRare), Armand Trousseau Hospital, Assistance Publique Hôpitaux de Paris (AP-HP), 75012 Paris, France
- Inserm UMR_S933, Sorbonne Université, 75012 Paris, France
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33
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Jun S, Park B, Seo JB, Lee S, Kim N. Development of a Computer-Aided Differential Diagnosis System to Distinguish Between Usual Interstitial Pneumonia and Non-specific Interstitial Pneumonia Using Texture- and Shape-Based Hierarchical Classifiers on HRCT Images. J Digit Imaging 2019; 31:235-244. [PMID: 28884381 DOI: 10.1007/s10278-017-0018-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
Abstract
A computer-aided differential diagnosis (CADD) system that distinguishes between usual interstitial pneumonia (UIP) and non-specific interstitial pneumonia (NSIP) using high-resolution computed tomography (HRCT) images was developed, and its results compared against the decision of a radiologist. Six local interstitial lung disease patterns in the images were determined, and 900 typical regions of interest were marked by an experienced radiologist. A support vector machine classifier was used to train and label the regions of interest of the lung parenchyma based on the texture and shape characteristics. Based on the regional classifications of the entire lung using HRCT, the distributions and extents of the six regional patterns were characterized through their CADD features. The disease division index of every area fraction combination and the asymmetric index between the left and right lungs were also evaluated. A second SVM classifier was employed to classify the UIP and NSIP, and features were selected through sequential-forward floating feature selection. For the evaluation, 54 HRCT images of UIP (n = 26) and NSIP (n = 28) patients clinically diagnosed by a pulmonologist were included and evaluated. The classification accuracy was measured based on a fivefold cross-validation with 20 repetitions using random shuffling. For comparison, thoracic radiologists assessed each case using HRCT images without clinical information or diagnosis. The accuracies of the radiologists' decisions were 75 and 87%. The accuracies of the CADD system using different features ranged from 70 to 81%. Finally, the accuracy of the proposed CADD system after sequential-forward feature selection was 91%.
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Affiliation(s)
- SangHoon Jun
- Biomedical Engineering Research Center, Asan Institute of Life Science, University of Ulsan College of Medicine, Asan Medical Center, 388-1 Pungnap2-dong, Songpa-gu, Seoul, Republic of Korea
| | - BeomHee Park
- Biomedical Engineering Research Center, Asan Institute of Life Science, University of Ulsan College of Medicine, Asan Medical Center, 388-1 Pungnap2-dong, Songpa-gu, Seoul, Republic of Korea
| | - Joon Beom Seo
- Department of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 388-1 Pungnap2-dong, Songpa-gu, Seoul, Republic of Korea
| | - SangMin Lee
- Department of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 388-1 Pungnap2-dong, Songpa-gu, Seoul, Republic of Korea
| | - Namkug Kim
- Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, 388-1 Pungnap2-dong, Songpa-gu, Seoul, Republic of Korea.
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Yu G, Ji H, Meng C, Huang Y, Gao G, Liu C, Wang S, Zhang L, Ju J. Surgical management of organizing pneumonia: a retrospective study of 24 cases in a single Centre. J Cardiothorac Surg 2019; 14:122. [PMID: 31253173 PMCID: PMC6599375 DOI: 10.1186/s13019-019-0939-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2019] [Accepted: 06/17/2019] [Indexed: 11/29/2022] Open
Abstract
Background Organizing pneumonia (OP) is a rare disease that is often easily misdiagnosed as a malignancy. The diagnosis of OP can prove quite challenging. Patients typically receive treatment with high-dose corticosteroids. Relapse is common if corticosteroid treatment is reduced or stopped. However, given that long-term corticosteroid treatment often results in significant side-effects, the aim of this study was to discuss the diagnosis and surgical treatment of OP. Material and methods The medical records of 24 patients with pathologically diagnosed OP between October 2007 and January 2019 were retrospectively reviewed. All patients underwent thoracic computed tomography (CT) and transbronchial biopsy or CT-guided percutaneous needle aspiration. We analysed the clinical manifestations, radiological findings, diagnostic methods, treatment, and follow-up outcomes of all patients. Results In total, 24 patients with OP were identified. The study included 17 (70.8%) men and 7 (29.2%) women, and the mean age was 61.25 ± 11.33 years (range: 31–82). The most common symptom was cough (n = 16; 66.6%), and the most common radiological finding was consolidation (n = 13; 54.2%) on thoracic CT. The diagnosis of OP was made by transbronchial biopsy in 11 patients (45.8%), and percutaneous needle aspiration biopsy in 13 (54.2%). We performed 11 wedge resections, 9 segmentectomy, and 4 lobectomies. Twenty patients underwent video-assisted thoracoscopic surgery (VATS), and 4 underwent thoracotomy. Complete lesion resection was obtained in all patients, and all patients were discharged from the hospital between 5 and 11 days after surgery. The mean follow-up period was 59.1 ± 34.5 (range: 2–134) months. Residual lesions or local or distant recurrence were not observed. Conclusions OP is a rare disease, and the exact aetiology remains unclear. Preoperative diagnosis is difficult to achieve despite the use of transbronchial biopsy or CT-guided percutaneous needle aspiration. Complete surgical resection represents an effective method for the treatment of OP.
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Affiliation(s)
- Ge Yu
- Department of Thoracic Surgery, Weihai Municipal Hospital, 70 Heping Road, Weihai, 264200, Shandong, China
| | - Huaijun Ji
- Department of Thoracic Surgery, Weihai Municipal Hospital, 70 Heping Road, Weihai, 264200, Shandong, China.
| | - Chuizheng Meng
- Department of Thoracic Surgery, Weihai Municipal Hospital, 70 Heping Road, Weihai, 264200, Shandong, China
| | - Yixuan Huang
- Department of Thoracic Surgery, Weihai Municipal Hospital, 70 Heping Road, Weihai, 264200, Shandong, China
| | - Guogang Gao
- Department of Thoracic Surgery, Weihai Municipal Hospital, 70 Heping Road, Weihai, 264200, Shandong, China
| | - Chuanping Liu
- Department of Thoracic Surgery, Weihai Municipal Hospital, 70 Heping Road, Weihai, 264200, Shandong, China
| | - Shanlei Wang
- Department of Thoracic Surgery, Weihai Municipal Hospital, 70 Heping Road, Weihai, 264200, Shandong, China
| | - Lei Zhang
- Department of Thoracic Surgery, Weihai Municipal Hospital, 70 Heping Road, Weihai, 264200, Shandong, China
| | - Jin Ju
- Department of Thoracic Surgery, Weihai Municipal Hospital, 70 Heping Road, Weihai, 264200, Shandong, China.
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35
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Hochhegger B, Langer FW, Irion K, Souza A, Moreira J, Baldisserotto M, Pallaoro Y, Muller E, Medeiros TM, Altmayer S, Marchiori E. Pulmonary Acinus: Understanding the Computed Tomography Findings from an Acinar Perspective. Lung 2019; 197:259-265. [PMID: 30900014 DOI: 10.1007/s00408-019-00214-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Accepted: 03/05/2019] [Indexed: 12/17/2022]
Abstract
The lung acinus is the most distal portion of the airway responsible for the gas exchange. The normal acini are not visible on conventional computed tomography (CT), but the advent of micro-CT improved the understanding of the microarchitecture of healthy acini. The comprehension of the acinar architecture is pivotal for the understanding of CT findings of diseases that involve the acini. Centriacinar emphysema, for example, presents as round areas of low attenuation due to the destruction of the most central acini with compensatory enlargement of proximal acini due to alveolar wall destruction. In pulmonary fibrosis, intralobular septal fibrosis manifests as acinar wall thickening with an overlap of acinar collapse and compensatory dilation of surrounding acini constituting the cystic disease typical of the usual interstitial pneumonia pattern. This is a state-of-the-art review to describe the acinar structure from the micro-CT perspective and display how the comprehension of the acinar structure can aid in the interpretation of its microarchitecture disruption on conventional CT.
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Affiliation(s)
- Bruno Hochhegger
- Medical Imaging Research Laboratory, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Rio Grande Do Sul, Brazil. .,Postgraduate program, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil. .,LABIMED - Medical Imaging Research Lab, Department of Radiology, Pavilhão, Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Av. Independência, 75, Porto Alegre, 90020-160, Brazil.
| | - Felipe W Langer
- Department of Radiology and Imaging Diagnosis, Federal University of Santa Maria, Santa Maria, Brazil
| | - Klaus Irion
- Department of Radiology, Liverpool Heart and Chest Hospital, Thomas Dr, Liverpool, L14 3PE, UK
| | - Arthur Souza
- Department of Radiology, Faculdade de Medicina de São José do Rio Preto, São José do Rio Preto, Brazil
| | - José Moreira
- Medical Imaging Research Laboratory, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Rio Grande Do Sul, Brazil
| | - Matteo Baldisserotto
- Postgraduate program, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Yana Pallaoro
- Medical Imaging Research Laboratory, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Rio Grande Do Sul, Brazil
| | - Enrico Muller
- Postgraduate program, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Tassia Machado Medeiros
- Postgraduate program, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Stephan Altmayer
- Medical Imaging Research Laboratory, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Rio Grande Do Sul, Brazil
| | - Edson Marchiori
- Department of Radiology, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
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Porcu M, De Silva P, Solinas C, Battaglia A, Schena M, Scartozzi M, Bron D, Suri JS, Willard-Gallo K, Sangiolo D, Saba L. Immunotherapy Associated Pulmonary Toxicity: Biology Behind Clinical and Radiological Features. Cancers (Basel) 2019; 11:cancers11030305. [PMID: 30841554 PMCID: PMC6468855 DOI: 10.3390/cancers11030305] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Revised: 02/17/2019] [Accepted: 02/26/2019] [Indexed: 12/22/2022] Open
Abstract
The broader use of immune checkpoint blockade in clinical routine challenges clinicians in the diagnosis and management of side effects which are caused by inflammation generated by the activation of the immune response. Nearly all organs can be affected by immune-related toxicities. However, the most frequently reported are: fatigue, rash, pruritus, diarrhea, nausea/vomiting, arthralgia, decreased appetite and abdominal pain. Although these adverse events are usually mild, reversible and not frequent, an early diagnosis is crucial. Immune-related pulmonary toxicity was most frequently observed in trials of lung cancer and of melanoma patients treated with the combination of the anti-cytotoxic T lymphocyte antigen (CTLA)-4 and the anti-programmed cell death-1 (PD-1) antibodies. The most frequent immune-related adverse event in the lung is represented by pneumonitis due to the development of infiltrates in the interstitium and in the alveoli. Clinical symptoms and radiological patterns are the key elements to be considered for an early diagnosis, rendering the differential diagnosis crucial. Diagnosis of immune-related pneumonitis may imply the temporary or definitive suspension of immunotherapy, along with the start of immuno-suppressive treatments. The aim of this work is to summarize the biological bases, clinical and radiological findings of lung toxicity under immune checkpoint blockade, underlining the importance of multidisciplinary teams for an optimal early diagnosis of this side effect, with the aim to reach an improved patient care.
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Affiliation(s)
- Michele Porcu
- Department of Radiology, University Hospital of Cagliari, 09042 Monserrato (Cagliari), Italy.
| | - Pushpamali De Silva
- Molecular Immunology Unit, Institut Jules Bordet, Universitè Libre de Bruxelles (ULB), 1000 Brussels, Belgium.
- Clinical and Experimental Hematology, Institute Jules Bordet, Universitè Libre de Bruxelles (ULB), 1000 Brussels, Belgium.
| | - Cinzia Solinas
- Molecular Immunology Unit, Institut Jules Bordet, Universitè Libre de Bruxelles (ULB), 1000 Brussels, Belgium.
- Department of Medical Oncology and Hematology, Regional Hospital of Aosta, 11100 Aosta, Italy.
| | - Angelo Battaglia
- Department of Medical Oncology and Hematology, Regional Hospital of Aosta, 11100 Aosta, Italy.
| | - Marina Schena
- Department of Medical Oncology and Hematology, Regional Hospital of Aosta, 11100 Aosta, Italy.
| | - Mario Scartozzi
- Department of Medical Oncology, University Hospital of Cagliari, 09042 Monserrato (Cagliari), Italy.
| | - Dominique Bron
- Clinical and Experimental Hematology, Institute Jules Bordet, Universitè Libre de Bruxelles (ULB), 1000 Brussels, Belgium.
| | - Jasjit S Suri
- Lung Diagnostic Division, Global Biomedical Technologies, Inc., Roseville, CA 95661, USA.
- AtheroPoint™ LLC, Roseville, CA 95661, USA.
| | - Karen Willard-Gallo
- Molecular Immunology Unit, Institut Jules Bordet, Universitè Libre de Bruxelles (ULB), 1000 Brussels, Belgium.
| | - Dario Sangiolo
- Department of Oncology, University of Torino, 10043 Orbassano (Torino), Italy.
- Division of Medical Oncology, Experimental Cell Therapy, Candiolo Cancer Institute FPO-IRCCS, 10060 Candiolo (Torino), Italy.
| | - Luca Saba
- Department of Radiology, University Hospital of Cagliari, 09042 Monserrato (Cagliari), Italy.
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Comparison of the 18F-FDG avidity at PET of benign and malignant pure ground-glass opacities: a paradox? Clin Radiol 2019; 74:187-195. [DOI: 10.1016/j.crad.2018.12.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Accepted: 12/13/2018] [Indexed: 11/24/2022]
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van Cleemput J, Sonaglioni A, Wuyts WA, Bengus M, Stauffer JL, Harari S. Idiopathic Pulmonary Fibrosis for Cardiologists: Differential Diagnosis, Cardiovascular Comorbidities, and Patient Management. Adv Ther 2019; 36:298-317. [PMID: 30554332 PMCID: PMC6824347 DOI: 10.1007/s12325-018-0857-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Indexed: 02/06/2023]
Abstract
The presence of rare comorbidities in patients with cardiovascular disease (CVD) presents a diagnostic challenge to cardiologists. In evaluating these patients, cardiologists are faced with a unique opportunity to shorten diagnosis times and direct patients towards correct treatment pathways. Idiopathic pulmonary fibrosis (IPF), a type of interstitial lung disease (ILD), is an example of a rare disease where patients frequently demonstrate comorbid CVD. Both CVD and IPF most commonly affect a similar patient demographic: men over the age of 60 years with a history of smoking. Moreover, IPF and heart failure (HF) share a number of symptoms. As a result, patients with IPF can be misdiagnosed with HF and vice versa. This article aims to increase awareness of IPF among cardiologists, providing an overview for cardiologists on the differential diagnosis of IPF from HF, and describing the signs and symptoms that would warrant referral to a pulmonologist with expertise in ILD. Once patients with IPF have received a diagnosis, cardiologists can have an important role in managing patients who are candidates for a lung transplant or those who develop pulmonary hypertension (PH). Group 3 PH is one of the most common cardiovascular complications diagnosed in patients with IPF, its prevalence varying between reports but most often cited as between 30% and 50%. This review summarizes the current knowledge on Group 3 PH in IPF, discusses data from clinical trials assessing treatments for Group 1 PH in patients with IPF, and highlights that treatment guidelines recommend against these therapies in IPF. Finally, this article provides the cardiologist with an overview on the use of the two approved treatments for IPF, the antifibrotics pirfenidone and nintedanib, in patients with IPF and CVD comorbidities. Conversely, the impact of treatments for CVD comorbidities on patients with IPF is also discussed.Funding: F. Hoffmann-La Roche, Ltd.Plain Language Summary: Plain language summary available for this article.
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Affiliation(s)
| | - Andrea Sonaglioni
- U.O. di Cardiologia, Ospedale San Giuseppe - MultiMedica IRCCS, Milan, Italy
| | - Wim A Wuyts
- Department of Respiratory Medicine, Unit for Interstitial Lung Diseases, University Hospitals Leuven, Leuven, Belgium
| | | | | | - Sergio Harari
- U.O. di Pneumologia e Terapia Semi-Intensiva Respiratoria - Servizio di Fisiopatologia Respiratoria ed Emodinamica Polmonare, Ospedale San Giuseppe - MultiMedica IRCCS, Milan, Italy
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Diken ÖE, Şengül A, Beyan AC, Ayten Ö, Mutlu LC, Okutan O. Desquamative interstitial pneumonia: Risk factors, laboratory and bronchoalveolar lavage findings, radiological and histopathological examination, clinical features, treatment and prognosis. Exp Ther Med 2019; 17:587-595. [PMID: 30651839 DOI: 10.3892/etm.2018.7030] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Accepted: 06/29/2017] [Indexed: 12/18/2022] Open
Abstract
Desquamative interstitial pneumonia is a type of smoking-associated major idiopathic interstitial pneumonia, which is characterized by accumulation of alveolar macrophages in alveolar lumens and septa and develops secondary to mainly active or passive exposure to cigarette smoke. Desquamative interstitial pneumonia mostly occurs in male smokers in association with non-specific symptoms responsive to steroid therapy and has a better prognosis than usual interstitial pneumonia. To date, no large-scale clinical studies have been performed on desquamative interstitial pneumonia patients. Factors responsible for the scarcity of data on the clinical course of this condition include the retrospective nature of the available information as well as its rare occurrence. Despite this, a general consensus exists as to the nature of its symptoms, association with smoking, age and gender distribution, findings of respiratory function tests, steroid responsivity and mortality. The objective of the present review article was to report on desquamative interstitial pneumonia and to describe its etiology, risk factors and clinical features, as well as the laboratory, bronchoalveolar lavage, radiological and histopathological findings, and the treatment and prognosis of affected patients.
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Affiliation(s)
- Özlem Erçen Diken
- Department of Chest Diseases, Hitit University School of Medicine, 19100 Çorum, Turkey
| | - Aysun Şengül
- Department of Chest Diseases, Kocaeli Derince Education and Research Hospital, 41900 Kocaeli, Turkey
| | - Ayşe Coşkun Beyan
- Department of Chest Diseases, Dokuz Eylül University School of Medicine, 35800 İzmir, Turkey
| | - Ömer Ayten
- Department of Chest Diseases, GATA Education and Research Hospital, 34744 İstanbul, Turkey
| | - Levent Cem Mutlu
- Department of Chest Diseases, Namık Kemal University School of Medicine, 59000 Tekirdağ, Turkey
| | - Oğuzhan Okutan
- Department of Chest Diseases, GATA Education and Research Hospital, 34744 İstanbul, Turkey
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Interstitial Lung Disease as the Initial Manifestation of Rheumatoid Arthritis: A Case Report and Review of the Literature. AMERICAN JOURNAL OF MEDICAL CASE REPORTS 2019; 7:342-347. [PMID: 31745501 PMCID: PMC6863351 DOI: 10.12691/ajmcr-7-12-10] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND Rheumatoid arthritis (RA) is a chronic, systemic, inflammatory disorder that primarily affects synovial joints. Approximately 18-41% of patients with RA develop extra-articular manifestations [1]. However, extra-articular manifestations preceding or occurring without articular symptoms in RA have rarely been reported. Such atypical presentations of RA pose a diagnostic challenge to the clinician and may delay treatment. CASE PRESENTATION A 57-year-old female with long standing diabetes, hypertension, hyperlipidemia and Raynaud's phenomenon presented shortness of breath, cough and new subcutaneous nodules. Four years before, she had been diagnosed with non specific interstitial pneumonia but had declined treatment. The physical exam did not reveal any signs suggestive of RA however, she was seropositive for rheumatoid factor (RF) and anti-citrullinated peptide antibody (ACPA). Treatment for RA-associated interstitial lung disease was discussed. CONCLUSION Extra-articular involvement of RA can be observed as initial presentation of the disease in a handful of cases. However, RA diagnosis must be achieved to correctly manage these patients which can at that time receive targeted therapeutic interventions. From our literature review, pulmonary involvement was seen in over half of the cases in seropositive RA patients who lacked articular involvement at initial presentation.
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Oliveira DS, Araújo Filho JDA, Paiva AFL, Ikari ES, Chate RC, Nomura CH. Idiopathic interstitial pneumonias: review of the latest American Thoracic Society/European Respiratory Society classification. Radiol Bras 2018; 51:321-327. [PMID: 30369660 PMCID: PMC6198836 DOI: 10.1590/0100-3984.2016.0134] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2016] [Accepted: 01/05/2017] [Indexed: 12/17/2022] Open
Abstract
The diagnosis of idiopathic interstitial pneumonias (IIPs) involves a multidisciplinary scenario in which the radiologist assumes a key role. The latest (2013) update of the IIP classification by the American Thoracic Society/European Respiratory Society proposed some important changes to the original classification of 2002. The novelties include the addition of a new disease (idiopathic pleuroparenchymal fibroelastosis) and the subdivision of the IIPs into four main groups: chronic fibrosing IIPs (idiopathic pulmonary fibrosis and nonspecific interstitial pneumonia); smoking-related IIPs (desquamative interstitial pneumonia and respiratory bronchiolitis-associated interstitial lung disease); acute or subacute IIPs (cryptogenic organizing pneumonia and acute interstitial pneumonia); rare IIPs (lymphoid interstitial pneumonia and idiopathic pleuroparenchymal fibroelastosis); and the so-called "unclassifiable" IIPs. In this study, we review the main clinical, tomographic, and pathological characteristics of each IIP.
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Affiliation(s)
- Daniel Simões Oliveira
- Instituto do Coração do Hospital das Clínicas
da Faculdade de Medicina da Universidade de São Paulo (InCor/HC-FMUSP),
São Paulo, SP, Brazil
| | - José de Arimatéia Araújo Filho
- Instituto do Coração do Hospital das Clínicas
da Faculdade de Medicina da Universidade de São Paulo (InCor/HC-FMUSP),
São Paulo, SP, Brazil
| | - Antonio Fernando Lins Paiva
- Instituto do Coração do Hospital das Clínicas
da Faculdade de Medicina da Universidade de São Paulo (InCor/HC-FMUSP),
São Paulo, SP, Brazil
| | - Eduardo Seigo Ikari
- Instituto do Coração do Hospital das Clínicas
da Faculdade de Medicina da Universidade de São Paulo (InCor/HC-FMUSP),
São Paulo, SP, Brazil
| | - Rodrigo Caruso Chate
- Instituto do Coração do Hospital das Clínicas
da Faculdade de Medicina da Universidade de São Paulo (InCor/HC-FMUSP),
São Paulo, SP, Brazil
| | - César Higa Nomura
- Instituto do Coração do Hospital das Clínicas
da Faculdade de Medicina da Universidade de São Paulo (InCor/HC-FMUSP),
São Paulo, SP, Brazil
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Mançano AD. Classification of idiopathic interstitial pneumonias. Radiol Bras 2018; 51:V-VI. [PMID: 30369675 PMCID: PMC6198846 DOI: 10.1590/0100-3984.2018.51.5e1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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43
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Screening for Lung Cancer: Incidental Pulmonary Parenchymal Findings. AJR Am J Roentgenol 2018; 210:503-513. [DOI: 10.2214/ajr.17.19003] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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44
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Miller R, Allen TC, Barrios RJ, Beasley MB, Burke L, Cagle PT, Capelozzi VL, Ge Y, Hariri LP, Kerr KM, Khoor A, Larsen BT, Mark EJ, Matsubara O, Mehrad M, Mino-Kenudson M, Raparia K, Roden AC, Russell P, Schneider F, Sholl LM, Smith ML. Hypersensitivity Pneumonitis A Perspective From Members of the Pulmonary Pathology Society. Arch Pathol Lab Med 2018; 142:120-126. [DOI: 10.5858/arpa.2017-0138-sa] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Ross Miller
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Timothy Craig Allen
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Roberto J. Barrios
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Mary Beth Beasley
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Louise Burke
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Philip T. Cagle
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Vera Luiza Capelozzi
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Yimin Ge
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Lida P. Hariri
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Keith M. Kerr
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Andras Khoor
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Brandon T. Larsen
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Eugene J. Mark
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Osamu Matsubara
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Mitra Mehrad
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Mari Mino-Kenudson
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Kirtee Raparia
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Anja Christiane Roden
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Prudence Russell
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Frank Schneider
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Lynette M. Sholl
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
| | - Maxwell Lawrence Smith
- From the Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas (Drs Miller, Barrios, Cagle, and Ge); the Department of Pathology, University of Texas Medical Branch, Galveston (Dr Allen); the Department of Pathology, Mount Sinai Medical Center, New York, New York (Dr Beasley); the Department of Histopathology, Cork University Hospital, Cork, Ireland (Dr Burke); the Department of Pathology, University of São Paulo, São Paulo, Brazil (Dr Capelozzi); the Department of
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Flow phenomenon, a differential diagnosis in refractory hypoxaemia in patients with anterior mediastinal mass. Case report☆. COLOMBIAN JOURNAL OF ANESTHESIOLOGY 2017. [DOI: 10.1097/01819236-201712001-00015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Batra K, Butt Y, Gokaslan T, Burguete D, Glazer C, Torrealba JR. Pathology and radiology correlation of idiopathic interstitial pneumonias. Hum Pathol 2017; 72:1-17. [PMID: 29180253 DOI: 10.1016/j.humpath.2017.11.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Revised: 11/04/2017] [Accepted: 11/14/2017] [Indexed: 12/25/2022]
Abstract
By nature, idiopathic interstitial pneumonias have been diagnosed in a multidisciplinary manner. As classifications have been subject to significant refinement over the last decade, the importance of correlating clinical, radiologic, and pathologic information to arrive at a diagnosis, which will predict prognosis in any given patient, has become increasingly recognized. In 2013, the American Thoracic Society and European Respiratory Society updated the idiopathic interstitial pneumonias classification scheme, addressing the most recent updates in the field. The purpose of this review is to highlight the correlations between radiologic and pathologic findings in idiopathic interstitial pneumonias while using updated classification schemes and naming conventions.
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Affiliation(s)
- Kiran Batra
- University of Texas Southwestern, Department of Radiology, Dallas, Texas, 75235
| | - Yasmeen Butt
- University of Texas Southwestern, Department of Pathology, Dallas, Texas, 75235
| | - Tunc Gokaslan
- University of Texas Southwestern, Department of Pathology, Dallas, Texas, 75235
| | - Daniel Burguete
- University of Texas Southwestern, School of Medicine, Dallas, Texas, 75390
| | - Craig Glazer
- University of Texas Southwestern, Department of Medicine, Pulmonology, Dallas, Texas, 75390
| | - Jose R Torrealba
- University of Texas Southwestern, Department of Pathology, Dallas, Texas, 75235.
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Jawad H, McWilliams SR, Bhalla S. Cardiopulmonary Manifestations of Collagen Vascular Diseases. Curr Rheumatol Rep 2017; 19:71. [PMID: 28994016 DOI: 10.1007/s11926-017-0697-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
PURPOSE OF REVIEW The study aimed to illustrate the cardiopulmonary findings of the following collagen vascular diseases on cross-sectional imaging: rheumatoid arthritis, scleroderma (progressive systemic sclerosis), systemic lupus erythematosus, the inflammatory myopathies (polymyositis/dermatomyositis), and Sjögren's syndrome. RECENT FINDINGS Although collagen vascular diseases can affect any part of the body, interstitial lung disease and pulmonary hypertension are the two most important cardiopulmonary complications and are responsible for the majority of morbidity and mortality in this patient population. Interstitial pneumonia with autoimmune features (IPAF) is a newly described entity that encompasses interstitial lung disease in patients with clinical, serologic, or morphologic features suggestive of but not diagnostic of collagen vascular disease; these patients are thought to have better outcomes than idiopathic interstitial pneumonias. Interstitial lung disease and pulmonary hypertension determine the prognosis in collagen vascular disease patients. IPAF is a new term to label patients with possible collagen vascular disease-related interstitial lung disease. Collagen vascular disease patients are at increased risk for various malignancies.
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Affiliation(s)
- Hamza Jawad
- Division of Diagnostic Radiology, Cardiothoracic Imaging Section, Mallinckrodt Institute of Radiology, Washington University in St. Louis, Campus Box 8131, 510 S Kingshighway Blvd, St. Louis, MO, USA.
| | - Sebastian R McWilliams
- Division of Diagnostic Radiology, Cardiothoracic Imaging Section, Mallinckrodt Institute of Radiology, Washington University in St. Louis, Campus Box 8131, 510 S Kingshighway Blvd, St. Louis, MO, USA
| | - Sanjeev Bhalla
- Division of Diagnostic Radiology, Cardiothoracic Imaging Section, Mallinckrodt Institute of Radiology, Washington University in St. Louis, Campus Box 8131, 510 S Kingshighway Blvd, St. Louis, MO, USA
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Abstract
The term interstitial lung diseases (ILD) comprises a diverse group of diseases that lead to inflammation and fibrosis of the alveoli, distal airways, and septal interstitium of the lungs. The ILD consist of disorders of known cause (e.g., collagen vascular diseases, drug-related diseases) as well as disorders of unknown etiology. The latter include idiopathic interstitial pneumonias (IIPs), and a group of miscellaneous, rare, but nonetheless interesting, diseases. In patients with ILD, MDCT enriches the diagnostic armamentarium by allowing volumetric high-resolution scanning, i.e., continuous data acquisition with thin collimation and a high spatial frequency reconstruction algorithm. CT is a key method in the identification and management of patients with ILD. It not only improves the detection and characterization of parenchymal abnormalities, but also increases the accuracy of diagnosis. The spectrum of morphologic characteristics that are indicative of interstitial lung disease is relatively limited and includes the linear and reticular pattern, the nodular pattern, the increased attenuation pattern (such as ground-glass opacities and consolidation), and the low attenuation pattern (such as emphysema and cystic lung diseases). In the correct clinical context, some patterns or combination of patterns, together with the anatomic distribution of the abnormality, i.e., from the lung apex to the base, or peripheral subpleural versus central bronchovascular, can lead the interpreter to a specific diagnosis. However, due to an overlap of the CT morphology between the various entities, the final diagnosis of many ILD requires close cooperation between clinicians and radiologists and complementary lung biopsy is recommended in many cases.
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Affiliation(s)
- Konstantin Nikolaou
- Department of Radiology, University Hospitals Tübingen, Tübingen, Baden-Württemberg Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, University of Freiburg, Freiburg, Germany
| | - Andrea Laghi
- Department of Surgical and Medical Sciences and Translational Medicine, “Sapienza” – University of Rome, Rome, Italy
| | - Geoffrey D. Rubin
- Department of Radiology, Duke University School of Medicine, Durham, NC USA
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Delaunay M, Cadranel J, Lusque A, Meyer N, Gounant V, Moro-Sibilot D, Michot JM, Raimbourg J, Girard N, Guisier F, Planchard D, Metivier AC, Tomasini P, Dansin E, Pérol M, Campana M, Gautschi O, Früh M, Fumet JD, Audigier-Valette C, Couraud S, Dalle S, Leccia MT, Jaffro M, Collot S, Prévot G, Milia J, Mazieres J. Immune-checkpoint inhibitors associated with interstitial lung disease in cancer patients. Eur Respir J 2017; 50:50/2/1700050. [PMID: 28798088 DOI: 10.1183/13993003.00050-2017] [Citation(s) in RCA: 278] [Impact Index Per Article: 34.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Accepted: 04/20/2017] [Indexed: 02/06/2023]
Abstract
Immunotherapy is becoming a standard of care for many cancers. Immune-checkpoint inhibitors (ICI) can generate immune-related adverse events. Interstitial lung disease (ILD) has been identified as a rare but potentially severe event.Between December 2015 and April 2016, we conducted a retrospective study in centres experienced in ICI use. We report the main features of ICI-ILD with a focus on clinical presentation, radiological patterns and therapeutic strategies.We identified 64 (3.5%) out of 1826 cancer patients with ICI-ILD. Patients mainly received programmed cell death-1 inhibitors. ILD usually occurred in males, and former or current smokers, with a median age of 59 years. We observed 65.6% grade 2/3 severity, 9.4% grade 4 severity and 9.4% fatal ILD. The median (range) time from initiation of immunotherapy to ILD was 2.3 (0.2-27.4) months. Onset tended to occur earlier in lung cancer versus melanoma: median 2.1 and 5.2 months, respectively (p=0.02). Ground-glass opacities (81.3%) were the predominant lesions, followed by consolidations (53.1%). Organising pneumonia (23.4%) and hypersensitivity pneumonitis (15.6%) were the most common patterns. Overall survival at 6 months was 58.1% (95% CI 37.7-73.8%).ICI-ILD often occurs early and displays suggestive radiological features. As there is no clearly identified risk factor, oncologists need to diagnose and adequately treat this adverse event.
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Affiliation(s)
- Myriam Delaunay
- Service de Pneumologie, Hôpital Larrey, Centre Hospitalier Universitaire, Université Paul Sabatier, Toulouse, France
| | - Jacques Cadranel
- Service de Pneumologie, APHP Hôpital Tenon and Sorbonne Universités, UPMC Univ Paris 06, Paris, France
| | - Amélie Lusque
- Cellule Biostatistique, Bureau des Essais Cliniques, Institut Claudius Regaud, IUCT-O, Toulouse, France
| | - Nicolas Meyer
- Service de Dermatologie, IUCT, Centre Hospitalier Universitaire, Université Paul Sabatier, Toulouse, France
| | - Valérie Gounant
- Service d'Oncologie Thoracique, University Hospital Bichat, APHP, Paris, France
| | - Denis Moro-Sibilot
- Department of Thoracic Oncology, Centre Hospitalier Universitaire, Grenoble, France
| | - Jean-Marie Michot
- Hematological Malignancies and Drug Development Departments, Gustave Roussy, Cancer Campus Grand Paris, Villejuif, France
| | - Judith Raimbourg
- Service d'Oncologie Médicale, Institut de Cancérologie de l'Ouest, St Herblain, Inserm U892, Nantes, France
| | - Nicolas Girard
- Service de Pneumologie, Institut de Cancérologie des Hospices Civils de Lyon, Lyon, France
| | - Florian Guisier
- Service de Pneumologie, Oncologie Thoracique et Soins Intensifs Respiratoires, Rouen University, Hopital, CIC INSERM 1404, Quant IF-LITIS, Rouen, France
| | - David Planchard
- Medical Oncology Department, Gustave Roussy Cancer Center, Villejuif, France
| | | | - Pascale Tomasini
- Multidisciplinary Oncology and Therapeutic Innovations Dept, Aix Marseille University, Assistance Publique Hôpitaux de Marseille, Marseille, France
| | - Eric Dansin
- Département de Cancérologie Générale, Centre Oscar Lambret, Lille, France
| | - Maurice Pérol
- Département de Cancérologie Médicale, Centre Léon Bérard, Lyon, France
| | | | - Oliver Gautschi
- Medical Oncology Department, Lucerne Cantonal Hospital, Luzern, Switzerland
| | - Martin Früh
- Medical Oncology Department, Kantonsspital St Gallen, St Gallen, Switzerland
| | - Jean-David Fumet
- Département Oncologie Medicale, Centre Georges-Francois Leclerc, Dijon, France
| | | | - Sébastien Couraud
- Service de Pneumologie Aiguë Spécialisée et Cancérologie Thoracique, Hospices Civils de Lyon, Université Claude Bernard, Lyon, France
| | - Stéphane Dalle
- Service de Pneumologie Aiguë Spécialisée et Cancérologie Thoracique, Hospices Civils de Lyon, Université Claude Bernard, Lyon, France
| | - Marie-Thérèse Leccia
- Service de Dermatologie, Hospices Civils de Lyon, Université Claude Bernard, Lyon, France
| | - Marion Jaffro
- Service de Dermatologie, CHU de Grenoble site Nord - Hôpital Albert Michallon, Grenoble, France
| | - Samia Collot
- Service de Dermatologie, CHU de Grenoble site Nord - Hôpital Albert Michallon, Grenoble, France
| | - Grégoire Prévot
- Service de Pneumologie, Hôpital Larrey, Centre Hospitalier Universitaire, Université Paul Sabatier, Toulouse, France
| | - Julie Milia
- Service de Pneumologie, Hôpital Larrey, Centre Hospitalier Universitaire, Université Paul Sabatier, Toulouse, France
| | - Julien Mazieres
- Service de Pneumologie, Hôpital Larrey, Centre Hospitalier Universitaire, Université Paul Sabatier, Toulouse, France
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Computed Tomographic Appearance of Organizing Pneumonia in an Oncologic Patient Population. J Comput Assist Tomogr 2017; 41:437-441. [PMID: 27768620 DOI: 10.1097/rct.0000000000000520] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
OBJECTIVE The aims of this study were to describe the computed tomographic features of organizing pneumonia (OP) in an oncologic patient population and to also identify features associated with lung cancer and patients undergoing hematopoietic stem cell transplant (HSCT). METHODS In retrospective computed tomographies from 151 patients with pathologically confirmed OP between January 2009 and September 2014, number of lesions, location, size, margin type, and consistency, as well as volume of lymphadenopathy and the presence and size of pleural effusions, were recorded. Associated malignancy was noted. RESULTS Organizing pneumonia most commonly presented as a diffuse process (n = 62, 41%), frequently occupied both a central and peripheral location (n = 79, 53%), and commonly presented with a solid appearance (n = 67, 44%) or with ground glass opacity (n = 80, 53%). Pleural effusions were seen in 68 patients (45%). Organizing pneumonia less frequently contained air bronchograms, cavitation, necrosis, surrounding ground glass opacity, or adjacent bronchiectasis. In patients with lung cancer (n = 25, 17%), OP more likely presented as discrete lesions and occupied a peripheral location as compared with patients with other malignancies (Ps = 0.025 and 0.002). In HSCT patients (n = 29, 19%), a diffuse process was more commonly seen than in non-HSCT patients (P = 0.038). CONCLUSIONS Organizing pneumonia more commonly presents as discrete lesions with a peripheral location in patients with lung cancer and as a diffuse process in patients who had undergone HSCT.
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