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Basiri R, Sharifnezhad F, Jafarian AH, Samadi S, Zarghi A. Diagnostic accuracy of percutaneous transthoracic needle biopsy among peripheral pulmonary lesions: a multicenter observational study. Ann Med Surg (Lond) 2024; 86:5762-5766. [PMID: 39359751 PMCID: PMC11444528 DOI: 10.1097/ms9.0000000000002539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 08/26/2024] [Indexed: 10/04/2024] Open
Abstract
Introduction The diagnosis of peripheral pulmonary lesions (PPL) poses a significant challenge, prompting the widespread utilization of various modalities to ensure the precision in diagnosis. This study aims to assess the diagnostic accuracy of computed tomography-guided percutaneous transthoracic needle biopsy (CT-PTNB) in the context of pulmonary malignancy. Methods and materials This multicenter retrospective observational study, included 1317 cases of CT-PTNB performed on adult patients with PPLs from January 2018 to December 2022 in Mashhad, Iran. The pathology results of CT-PTNB from 94 cases were compared to the definitive pathology results obtained through methods such as surgery to assess the sensitivity, specificity, and overall accuracy of CT-PTNB in diagnosing of pulmonary malignancy. Results CT-PTNB exhibits an accuracy of 82.98%, with sensitivity and specificity rates of 75.41 and 91.43%, respectively. This study underscores the issue of false-negative results in CT-PTNB and underscores the importance of integrating clinical, radiological, and additional diagnostic modality to guide diagnostic decisions. Conclusion In this large-scale multicenter study, the accuracy of CT-PTNB for diagnosis of pulmonary malignancy is acceptable but fairly low compared to previous studies.
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Affiliation(s)
- Reza Basiri
- Lung Disease Research Center, Faculty of Medicine Mashhad University of Medicine Sciences
| | - Farzad Sharifnezhad
- Department of Internal Medicine, Faculty of Medicine, Mashhad University of Medical Sciences
| | - Amir H. Jafarian
- Cancer Molecular Pathology Research Center, Mashhad University of Medical Sciences
| | - Sara Samadi
- Department of Internal Medicine, Faculty of Medicine, Mashhad University of Medical Sciences
| | - Amirreza Zarghi
- School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
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Das A, Bonney A, Manser R. Prevalence of pulmonary nodules detected incidentally on noncancer-related imaging: a review. Intern Med J 2024; 54:1440-1449. [PMID: 39194304 DOI: 10.1111/imj.16502] [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: 02/25/2024] [Accepted: 07/30/2024] [Indexed: 08/29/2024]
Abstract
Pulmonary nodules are common incidental findings requiring surveillance. Follow-up recommendations vary depending on risk factors, size and solid or subsolid characteristics. This review aimed to evaluate the prevalence of clinically significant nodules detected on noncancer-dedicated imaging and the prevalence of part-solid and ground-glass nodules. We conducted a systematic search of literature and screened texts for eligibility. Clinically significant nodules were noncalcified nodules >4-6 mm. Prevalence estimates were calculated for all studies and risk of bias was assessed by one reviewer. Twenty-four studies were included, with a total of 30 887 participants, and 21 studies were cross-sectional in design. Twenty-two studies used computed tomography (CT) imaging with cardiac-related CT being the most frequent. Prevalence of significant nodules was highest in studies with large field of view of the chest and low size thresholds for reporting nodules. The prevalence of part-solid and ground-glass nodules was only described in two cardiac-related CT studies. The overall risk of bias was low in seven studies and moderate in 17 studies. While current literature frequently reports incidental nodules on cardiovascular-related CT, there is minimal reporting of subsolid characteristics. Unclear quantification of smoking history and heterogeneity of imaging protocol also limits reliable evaluation of nodule prevalence in nonscreening cohorts.
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Affiliation(s)
- Ankush Das
- The University of Melbourne, Melbourne Medical School, Royal Melbourne Hospital Clinical School, Melbourne, Victoria, Australia
| | - Asha Bonney
- Department of Respiratory and Sleep Medicine, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Renee Manser
- Department of Respiratory and Sleep Medicine, Royal Melbourne Hospital, Melbourne, Victoria, Australia
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Cai J, Vonder M, Pelgrim GJ, Rook M, Kramer G, Groen HJM, de Bock GH, Vliegenthart R. Distribution of Solid Lung Nodules Presence and Size by Age and Sex in a Northern European Nonsmoking Population. Radiology 2024; 312:e231436. [PMID: 39136567 DOI: 10.1148/radiol.231436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/27/2024]
Abstract
Background Most of the data regarding prevalence and size distribution of solid lung nodules originates from lung cancer screening studies that target high-risk populations or from Asian general cohorts. In recent years, the identification of lung nodules in non-high-risk populations, scanned for clinical indications, has increased. However, little is known about the presence of solid lung nodules in the Northern European nonsmoking population. Purpose To study the prevalence and size distribution of solid lung nodules by age and sex in a nonsmoking population. Materials and Methods Participants included nonsmokers (never or former smokers) from the population-based Imaging in Lifelines study conducted in the Northern Netherlands. Participants (age ≥ 45 years) with completed lung function tests underwent chest low-dose CT scans. Seven trained readers registered the presence and size of solid lung nodules measuring 30 mm3 or greater using semiautomated software. The prevalence and size of lung nodules (≥30 mm3), clinically relevant lung nodules (≥100 mm3), and actionable nodules (≥300 mm3) are presented by 5-year categories and by sex. Results A total of 10 431 participants (median age, 60.4 years [IQR, 53.8-70.8 years]; 56.6% [n = 5908] female participants; 46.1% [n = 4812] never smokers and 53.9% [n = 5619] former smokers) were included. Of these, 42.0% (n = 4377) had at least one lung nodule (male participants, 47.5% [2149 of 4523]; female participants, 37.7% [2228 of 5908]). The prevalence of lung nodules increased from age 45-49.9 years (male participants, 39.4% [219 of 556]; female participants, 27.7% [236 of 851]) to age 80 years or older (male participants, 60.7% [246 of 405]; female participants, 50.9% [163 of 320]). Clinically relevant lung nodules were present in 11.1% (1155 of 10 431) of participants, with prevalence increasing with age (male participants, 8.5%-24.4%; female participants, 3.7%-15.6%), whereas actionable nodules were present in 1.1%-6.4% of male participants and 0.6%-4.9% of female participants. Conclusion Lung nodules were present in a substantial proportion of all age groups in the Northern European nonsmoking population, with slightly higher prevalence for male participants than female participants. © RSNA, 2024 Supplemental material is available for this article.
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Affiliation(s)
- Jiali Cai
- From the Departments of Epidemiology (J.C., M.V., G.H.d.B.), Radiology (G.J.P., G.K., R.V.), and Pulmonology (H.J.M.G.), University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Department of Radiology, Medisch Spectrum Twente, University of Twente, the Netherlands (G.J.P.); and Department of Radiology, Martini Hospital Groningen, Groningen, the Netherlands (M.R., G.K.)
| | - Marleen Vonder
- From the Departments of Epidemiology (J.C., M.V., G.H.d.B.), Radiology (G.J.P., G.K., R.V.), and Pulmonology (H.J.M.G.), University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Department of Radiology, Medisch Spectrum Twente, University of Twente, the Netherlands (G.J.P.); and Department of Radiology, Martini Hospital Groningen, Groningen, the Netherlands (M.R., G.K.)
| | - Gert Jan Pelgrim
- From the Departments of Epidemiology (J.C., M.V., G.H.d.B.), Radiology (G.J.P., G.K., R.V.), and Pulmonology (H.J.M.G.), University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Department of Radiology, Medisch Spectrum Twente, University of Twente, the Netherlands (G.J.P.); and Department of Radiology, Martini Hospital Groningen, Groningen, the Netherlands (M.R., G.K.)
| | - Mieneke Rook
- From the Departments of Epidemiology (J.C., M.V., G.H.d.B.), Radiology (G.J.P., G.K., R.V.), and Pulmonology (H.J.M.G.), University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Department of Radiology, Medisch Spectrum Twente, University of Twente, the Netherlands (G.J.P.); and Department of Radiology, Martini Hospital Groningen, Groningen, the Netherlands (M.R., G.K.)
| | - Gerdien Kramer
- From the Departments of Epidemiology (J.C., M.V., G.H.d.B.), Radiology (G.J.P., G.K., R.V.), and Pulmonology (H.J.M.G.), University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Department of Radiology, Medisch Spectrum Twente, University of Twente, the Netherlands (G.J.P.); and Department of Radiology, Martini Hospital Groningen, Groningen, the Netherlands (M.R., G.K.)
| | - Harry J M Groen
- From the Departments of Epidemiology (J.C., M.V., G.H.d.B.), Radiology (G.J.P., G.K., R.V.), and Pulmonology (H.J.M.G.), University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Department of Radiology, Medisch Spectrum Twente, University of Twente, the Netherlands (G.J.P.); and Department of Radiology, Martini Hospital Groningen, Groningen, the Netherlands (M.R., G.K.)
| | - Geertruida H de Bock
- From the Departments of Epidemiology (J.C., M.V., G.H.d.B.), Radiology (G.J.P., G.K., R.V.), and Pulmonology (H.J.M.G.), University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Department of Radiology, Medisch Spectrum Twente, University of Twente, the Netherlands (G.J.P.); and Department of Radiology, Martini Hospital Groningen, Groningen, the Netherlands (M.R., G.K.)
| | - Rozemarijn Vliegenthart
- From the Departments of Epidemiology (J.C., M.V., G.H.d.B.), Radiology (G.J.P., G.K., R.V.), and Pulmonology (H.J.M.G.), University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Department of Radiology, Medisch Spectrum Twente, University of Twente, the Netherlands (G.J.P.); and Department of Radiology, Martini Hospital Groningen, Groningen, the Netherlands (M.R., G.K.)
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Glandorf J, Vogel-Claussen J. Incidental pulmonary nodules - current guidelines and management. ROFO-FORTSCHR RONTG 2024; 196:582-590. [PMID: 38065544 DOI: 10.1055/a-2185-8714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/24/2024]
Abstract
BACKGROUND Due to the greater use of high-resolution cross-sectional imaging, the number of incidental pulmonary nodules detected each year is increasing. Although the vast majority of incidental pulmonary nodules are benign, many early lung carcinomas could be diagnosed with consistent follow-up. However, for a variety of reasons, the existing recommendations are often not implemented correctly. Therefore, potential for improvement with respect to competence, communication, structure, and process is described. METHODS This article presents the recommendations for incidental pulmonary nodules from the current S3 guideline for lung cancer (July 2023). The internationally established recommendations (BTS guidelines and Fleischner criteria) are compared and further studies on optimized management were included after a systematic literature search in PubMed. RESULTS AND CONCLUSION In particular, AI-based software solutions are promising, as they can be used in a support capacity on several levels at once and can lead to simpler and more automated management. However, to be applicable in routine clinical practice, software must fit well into the radiology workflow and be integrated. In addition, "Lung Nodule Management" programs or clinics that follow a high-quality procedure for patients with incidental lung nodules or nodules detected by screening have been established in the USA. Similar structures might also be implemented in Germany in a future screening program in which patients with incidental pulmonary nodules could be included. KEY POINTS · Incidental pulmonary nodules are common but are often not adequately managed. · The updated S3 guideline for lung cancer now includes recommendations for incidental pulmonary nodules. · Competence, communication, structure, and process levels offer significant potential for improvement. CITATION FORMAT · Glandorf J, Vogel-Claussen J, . Incidental pulmonary nodules - current guidelines and management. Fortschr Röntgenstr 2024; 196: 582 - 590.
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Affiliation(s)
- Julian Glandorf
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | - Jens Vogel-Claussen
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
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Simargi Y, Mulia RO, Dewi AP, Lay SK, Puspasari AF, Ronny, Susilo F. An incidental finding of lung nodule in patient presenting with posterior chest wall trauma: A case report. Radiol Case Rep 2023; 18:4304-4308. [PMID: 37780816 PMCID: PMC10539645 DOI: 10.1016/j.radcr.2023.08.103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 08/22/2023] [Accepted: 08/23/2023] [Indexed: 10/03/2023] Open
Abstract
Lung nodule is considered a common incidental finding in chest CT evaluation. Most cases are benign and derived from a previous infection. However, here we present a case where a patient presenting to the hospital with posterior chest wall trauma had a solitary pulmonary nodule that is consistent with non-small cell lung cancer (NSCLC). We would like to emphasize the importance of evaluation of incidental findings in chest CT evaluation, in this case, trauma cases by presenting this case. An 81-year-old male was referred to the emergency department with altered consciousness and a history of posterior chest trauma. He complained of a productive cough, but no other symptoms were reported. He had a medical history of Alzheimer's dementia, COVID-19, and hypertension. Physical examination revealed a hematoma on the right side of his back and reduced breath sound. Anteroposterior radiograph showed multiple right posterior rib fractures with right pleural effusion. Contrast-enhanced chest CT revealed a low-density solitary pulmonary nodule with multiple lymphadenopathies, with the presumptive diagnosis of incidentaloma. It was confirmed by pleural analysis with the increase of Cyfra 21-1 tumor marker and consistent with non-small cell lung cancer. In CT studies, incidental solitary pulmonary nodules are common, occurring in 8%-51%. Nodules are often discovered incidentally in trauma patients, but they are not always reported or followed up. It is important to note that each may indicate a clinical significance and represents the potential for malignancy which requires additional workup and further evaluation.
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Affiliation(s)
- Yopi Simargi
- Department of Radiology, Faculty of Medicine, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
| | - Resley O. Mulia
- Department of Radiology, Faculty of Medicine, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
| | - Apriliani P. Dewi
- Department of Radiology, Faculty of Medicine, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
| | - Sugiarto K. Lay
- Department of Radiology, Faculty of Medicine, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
| | - Anita F. Puspasari
- Department of Radiology, Faculty of Medicine, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
| | - Ronny
- Department of Radiology, Faculty of Medicine, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
| | - Fenny Susilo
- Department of Radiology, Faculty of Medicine, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
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Cavallo JJ, de Oliveira Santo I, Mezrich JL, Forman HP. Clinical Implementation of a Combined Artificial Intelligence and Natural Language Processing Quality Assurance Program for Pulmonary Nodule Detection in the Emergency Department Setting. J Am Coll Radiol 2023; 20:438-445. [PMID: 36736547 DOI: 10.1016/j.jacr.2022.12.016] [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: 08/27/2022] [Revised: 11/18/2022] [Accepted: 12/08/2022] [Indexed: 02/05/2023]
Abstract
OBJECTIVE This quality assurance study assessed the implementation of a combined artificial intelligence (AI) and natural language processing (NLP) program for pulmonary nodule detection in the emergency department setting. The program was designed to function outside of normal reading workflows to minimize radiologist interruption. MATERIALS AND METHODS In all, 19,246 CT examinations including at least some portion of the lung anatomy performed in the emergent setting from October 1, 2021, to June 1, 2022, were processed by the combined AI-NLP program. The program used an AI algorithm trained on 6-mm to 30-mm pulmonary nodules to analyze CT images and an NLP to analyze radiological reports. Cases flagged as negative for pulmonary nodules by the NLP but positive by the AI algorithm were classified as suspected discrepancies. Discrepancies result in secondary review of examinations for possible addenda. RESULTS Out of 19,246 CT examinations, 50 examinations (0.26%) resulted in secondary review, and 34 of 50 (68%) reviews resulted in addenda. Of the 34 addenda, 20 patients received instruction for new follow-up imaging. Median time to addendum was 11 hours. The majority of reviews and addenda resulted from missed pulmonary nodules on CT examinations of the abdomen and pelvis. CONCLUSION A background quality assurance process using AI and NLP helped improve the detection of pulmonary nodules and resulted in increased numbers of patients receiving appropriate follow-up imaging recommendations. This was achieved without disrupting in-shift radiologist workflow or causing significant delays in patient follow for the diagnosed pulmonary nodule.
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Affiliation(s)
- Joseph J Cavallo
- Assistant Director of Informatics and Assistant Medical Director of Clinical Affairs, Yale Radiology, Yale Department of Radiology and Biomedical Imaging, Yale New Haven Hospital, New Haven, Connecticut; Yale Department of Radiology and Biomedical Imaging, Yale New Haven Hospital, New Haven, Connecticut.
| | - Irene de Oliveira Santo
- Yale Department of Radiology and Biomedical Imaging, Yale New Haven Hospital, New Haven, Connecticut. https://twitter.com/DixeIrene
| | - Jonathan L Mezrich
- Assistant Director of Informatics and Assistant Medical Director of Clinical Affairs, Yale Radiology, Yale Department of Radiology and Biomedical Imaging, Yale New Haven Hospital, New Haven, Connecticut; Yale Department of Radiology and Biomedical Imaging, Yale New Haven Hospital, New Haven, Connecticut
| | - Howard P Forman
- Department of Radiology and Biomedical Imaging, Yale New Haven Hospital, New Haven, Connecticut; Director, MD/MBA Program, Yale School of Management, Yale University, New Haven, Connecticut; and Director, Health Care Management Program, Yale School of Public Health, Yale University, New Haven, Connecticut. https://twitter.com/thehowie
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Şen N, Acer Kasman S, Baysal T, Dizman R, Yılmaz-Öner S, Tezcan ME. Apical fibrosis was the most common incidental pulmonary finding in a familial Mediterranean fever cohort. Clin Rheumatol 2023; 42:1363-1370. [PMID: 36725780 PMCID: PMC9891658 DOI: 10.1007/s10067-023-06526-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 01/22/2023] [Accepted: 01/25/2023] [Indexed: 02/03/2023]
Abstract
INTRODUCTION Familial Mediterranean fever (FMF) is one of the common autoinflammatory diseases with multisystemic manifestation. Pleuritis is the only known pulmonary involvement of FMF; however, as far as we know, thoracic involvements in pleural, parenchymal, bronchial, and vascular structures have not been evaluated yet. METHOD We included 243 consecutive FMF patients who applied to our clinic within the last 5 years and were requested to have a thorax CT for any reason and 122 trauma patients without any comorbidity. An experienced radiologist evaluated the thorax CT images blindly according to the relevant guidelines. We then presented the common incidental pulmonary and mediastinal findings on the thorax CT. Additionally, we compared patients with and without lung involvement according to demographic and disease-related parameters. RESULTS In our study, 167 of 243 patients (68.7%) had at least one of the pulmonary findings on their thorax CT. The most common pulmonary findings were apical fibrosis in 96 (39.5%) patients, parenchymal fibrotic changes in 48 (19.8%) patients, and a solitary parenchymal nodule smaller than 4 mm in 33 (13.6%) patients. All demographic, genetic, and disease-related characteristics, including the frequency of spondyloarthropathy, were similar in patients with and without pulmonary findings. CONCLUSIONS We showed that the most common incidental pulmonary finding in our FMF cohort was apical fibrosis on thoracic CT. Our data did not show causality between FMF and apical fibrosis; therefore, more studies are needed to evaluate the frequency and clinical significance of apical fibrosis in FMF. Key Points • More than two-thirds of familial Mediterranean fever (FMF) patients in our study group who underwent a thoracic scan for any reason had pulmonary and mediastinal findings on thorax computed tomography (CT). • In our FMF cohort, the most common incidental pulmonary finding on their thorax CT was apical fibrosis. • All demographic and disease-related characteristics, including the frequency of spondyloarthritis, were similar between patients with and without pulmonary and mediastinal findings.
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Affiliation(s)
- Nesrin Şen
- Department of Rheumatology, Kartal Dr. Lutfi Kirdar City Hospital, Kartal, 34680, Istanbul, Turkey
| | - Sevtap Acer Kasman
- Department of Rheumatology, Kartal Dr. Lutfi Kirdar City Hospital, Kartal, 34680, Istanbul, Turkey.
| | - Tamer Baysal
- Department of Radiology, Kartal Dr. Lutfi Kirdar City Hospital, Istanbul, Turkey
| | - Rıdvan Dizman
- Department of Radiology, Kartal Dr. Lutfi Kirdar City Hospital, Istanbul, Turkey
| | - Sibel Yılmaz-Öner
- Department of Rheumatology, Kartal Dr. Lutfi Kirdar City Hospital, Kartal, 34680, Istanbul, Turkey
| | - Mehmet Engin Tezcan
- Department of Rheumatology, Kartal Dr. Lutfi Kirdar City Hospital, Kartal, 34680, Istanbul, Turkey
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Smith D, Melville P, Fozzard N, Zhang J, Deonarine P, Nirthanan S, Sivakumaran P. Artificial intelligence software in pulmonary nodule assessment. J R Coll Physicians Edinb 2022; 52:228-231. [DOI: 10.1177/14782715221123856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background: This study tests the impact of the addition of autonomous computed tomography (CT) interpreting software to radiologist assessment of pulmonary nodules. Methods: Computed tomography scans for nodule assessment were identified retrospectively. Lung cancer risk factors, initial radiologist (RAD) report, Philips Lung Nodule software report (computer-aided nodule (CAD)) and radiologist report following the review of CT images and CAD (RAD + CAD) were collected. Follow-up recommendations based on current guidelines were derived from each report. Results: In all, 100 patients were studied. Median maximal diameter of the largest nodule reported by RAD and RAD + CAD were similar at 10.0 and 9.0 mm, respectively ( p = 0.06) but were reported as larger by CAD at 11.8 mm ( p < 0.001). Follow-up recommendations derived from RAD + CAD were less intensive in 23 (23%) and more intensive in 34 (34%) than that of RAD. Discussion: This study suggests that autonomous software use can alter radiologist assessment of pulmonary nodules such that suggested follow-up is altered.
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Affiliation(s)
- Dugal Smith
- Department of Respiratory Medicine, Gold Coast University Hospital, Southport, QLD, Australia
- School of Pharmacy and Medical Sciences, Griffith University, Southport, QLD, Australia
| | - Phillip Melville
- School of Pharmacy and Medical Sciences, Griffith University, Southport, QLD, Australia
| | - Nicolette Fozzard
- School of Pharmacy and Medical Sciences, Griffith University, Southport, QLD, Australia
| | - Jason Zhang
- Department of Medical Imaging, Gold Coast University Hospital, Southport, QLD, Australia
- School of Medicine, Bond University, Robina, QLD, Australia
| | - Patricia Deonarine
- Department of Medical Imaging, Gold Coast University Hospital, Southport, QLD, Australia
| | | | - Pathmanathan Sivakumaran
- Department of Respiratory Medicine, Gold Coast University Hospital, Southport, QLD, Australia
- School of Pharmacy and Medical Sciences, Griffith University, Southport, QLD, Australia
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Evans CS, Arthur R, Kane M, Omofoye F, Chung AE, Moreton E, Moore C. Incidental Radiology Findings on Computed Tomography Studies in Emergency Department Patients: A Systematic Review and Meta-Analysis. Ann Emerg Med 2022; 80:243-256. [PMID: 35717273 DOI: 10.1016/j.annemergmed.2022.03.027] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 03/16/2022] [Accepted: 03/30/2022] [Indexed: 11/01/2022]
Abstract
STUDY OBJECTIVE An incidental finding is defined as a newly discovered mass or lesion detected on imaging performed for an unrelated reason. The identification of an incidental finding may be an opportunity for the early detection of a serious medical condition, including a malignancy. However, little is known about the prevalence of incidental findings in the emergency department (ED) setting and the strategies that can be used to mitigate the risk associated with them in the ED. This study aimed to estimate the overall prevalence of incidental findings and to summarize the currently described measures to mitigate the risks associated with incidental findings. METHODS On November 22, 2020, a systematic literature search of PubMed, EMBASE, and Scopus was performed for studies that were published in peer-reviewed journals and reported the prevalence of incidental findings in computed tomography (CT) scans in patients in the ED. Patients who received CT scans that included the head, neck, chest, or abdomen/pelvis were included. The study characteristics, overall prevalence of incidental findings, prevalence of incidental findings by body region, and prespecified subgroups were extracted. The criteria used for risk stratification within individual studies were also extracted. Pooled estimates were calculated using a random-effects meta-analysis. RESULTS A total of 1,385 studies were identified, and 69 studies met the inclusion criteria. The included studies represented 147,763 ED encounters or radiology reports across 16 countries, and 83% of studies were observational, cross-sectional studies. A total of 35 studies (50.7%) were in trauma patients. A large degree of heterogeneity was observed across the included studies. The overall pooled prevalence estimate for any incidental finding was 31.3% (95% confidence interval 24.4% to 39.1%). We found great variation in the methods described to mitigate the risk associated with incidental findings, including a lack of standardized risk stratification, inconsistent documentation practices, and only a small subset of studies describing prospective interventions aimed at improving the recognition and management of incidental findings from the ED. CONCLUSION In patients in the ED receiving CT scans, incidental findings are commonly encountered across a broad range of ED chief complaints. This review highlights the existence of great heterogeneity in the definitions used to classify incidental findings. Future studies are needed to determine a clinically feasible categorization standard or terminology for commonly encountered incidental findings in the ED setting to standardize classification and documentation.
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Affiliation(s)
- Christopher S Evans
- Clinical Informatics Fellowship Program, UNC Hospitals, Chapel Hill, NC; Department of Emergency Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC.
| | - Rodney Arthur
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Michael Kane
- Clinical Informatics Fellowship Program, UNC Hospitals, Chapel Hill, NC; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Fola Omofoye
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Arlene E Chung
- Clinical Informatics Fellowship Program, UNC Hospitals, Chapel Hill, NC; Department of Biostatistics & Bioinformatics, Duke School of Medicine, Durham, NC
| | - Elizabeth Moreton
- Health Sciences Library, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Carlton Moore
- Clinical Informatics Fellowship Program, UNC Hospitals, Chapel Hill, NC; Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
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Xie J, Ruan Z, Zheng J, Gong Y, Wang Y, Hu B, Cheng J, Huang Q. Detection of circulating rare cells benefitted the diagnosis of malignant solitary pulmonary nodules. J Cancer Res Clin Oncol 2021; 148:2681-2692. [PMID: 34791530 DOI: 10.1007/s00432-021-03852-8] [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: 08/21/2021] [Accepted: 11/05/2021] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Solitary pulmonary nodules (SPNs) are challenging in differentiating between benignancy and malignancy. Therefore, more effective non-invasive biomarkers are urgently needed. The purpose of this investigation was to examine whether circulating rare cells (CRCs) could facilitate the differentiation between benign and malignant SPNs as well as its sensitivity and specificity. METHODS 164 patients diagnosed with SPNs, 24 healthy volunteers, and 25 patients diagnosed with advanced-stage lung cancer were included. CT/PET-CT images, serum tumor markers, and biopsy results were collected. The CRCs were examined using subtraction enrichment and immunostaining-fluorescence in situ hybridization (SE-iFISH) and their relationship with malignant or benign SPNs was analyzed. RESULTS The total CRC numbers from patients with malignant SPNs diagnosed by biopsy were significantly greater compared to those with benign SPNs (P < 0.0001), but not significantly different from patients with advanced lung cancer (P > 0.05). The total CRCs, with a cut-off value of 21.5 units, showed 67.6% sensitivity and 73.3% specificity [area under curve (AUC) 95% CI, 0.778 (0.666-0.889)] in discriminating benign and malignant SPNs and the triploid CRCs exhibited a high positive likelihood ratio of 8.4, which suggested that CRCs appeared to have a distinct advantage in discriminating benign and malignant SPNs compared to CT/PET-CT images and serum tumor markers and could be a potential screening indicator for lung cancer in the high-risk population. CONCLUSIONS SE-iFISH could effectively detect CRCs including circulating tumor cells (CTCs) and circulating tumor-derived endothelial cells (CTECs) and the detection of CRCs could benefit the differentiation of patients with benign and malignant SPNs.
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Affiliation(s)
- Jianzhu Xie
- Molecular Diagnostics Laboratory of Cancer Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zheng Ruan
- Department of Thoracic Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jian Zheng
- Department of Thoracic Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanping Gong
- Molecular Diagnostics Laboratory of Cancer Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yulan Wang
- Molecular Diagnostics Laboratory of Cancer Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Binjie Hu
- Molecular Diagnostics Laboratory of Cancer Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jin Cheng
- Molecular Diagnostics Laboratory of Cancer Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Qian Huang
- Molecular Diagnostics Laboratory of Cancer Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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11
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Meltzer C, Gilljam M, Vikgren J, Norrlund RR, Vult von Steyern K, Båth M, Johnsson ÅA. QUANTIFICATION OF PULMONARY PATHOLOGY IN CYSTIC FIBROSIS-COMPARISON BETWEEN DIGITAL CHEST TOMOSYNTHESIS AND COMPUTED TOMOGRAPHY. RADIATION PROTECTION DOSIMETRY 2021; 195:434-442. [PMID: 33683309 PMCID: PMC8507459 DOI: 10.1093/rpd/ncab017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 09/18/2020] [Accepted: 01/26/2021] [Indexed: 06/12/2023]
Abstract
PURPOSE Digital tomosynthesis (DTS) is currently undergoing validation for potential clinical implications. The aim of this study was to investigate the potential for DTS as a low-dose alternative to computed tomography (CT) in imaging of pulmonary pathology in patients with cystic fibrosis (CF). METHODS DTS and CT were performed as part of the routine triannual follow-up in 31 CF patients. Extent of disease was quantified according to modality-specific scoring systems. Statistical analysis included Spearman's rank correlation coefficient (r) and Krippendorff's alpha (α). MAJOR FINDINGS The median effective dose was 0.14 for DTS and 2.68 for CT. Intermodality correlation was very strong for total score and the subscores regarding bronchiectasis and bronchial wall-thickening (r = 0.82-0.91, P < 0.01). Interobserver reliability was high for total score, bronchiectasis and mucus plugging (α = 0.83-0.93) in DTS. CONCLUSION Chest tomosynthesis could be a low-dose alternative to CT in quantitative estimation of structural lung disease in CF.
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Affiliation(s)
| | - M Gilljam
- Gothenburg CF-Center, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Respiratory Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg Sweden
| | - J Vikgren
- Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Bruna stråket 11b V 2 SU/Sahlgrenska, 413 45 Gothenburg, Sweden
- Department of Radiology, Sahlgrenska University Hospital, Bruna stråket 11b V 2 SU/Sahlgrenska, 413 45 Gothenburg, Sweden
| | - R R Norrlund
- Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Bruna stråket 11b V 2 SU/Sahlgrenska, 413 45 Gothenburg, Sweden
- Department of Radiology, Sahlgrenska University Hospital, Bruna stråket 11b V 2 SU/Sahlgrenska, 413 45 Gothenburg, Sweden
| | - K Vult von Steyern
- Center for Medical Imaging and Physiology, Skåne University Hospital, Getingevägen 4, 22185 Lund, Sweden
| | - M Båth
- Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gula stråket 2B, Plan 3, 413 45 Gothenburg, Sweden
- Department of Radiation Physics, Sahlgrenska Academy, University of Gothenburg, Gula stråket 2B, Plan 3, 413 45 Gothenburg, Sweden
| | - Å A Johnsson
- Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Bruna stråket 11b V 2 SU/Sahlgrenska, 413 45 Gothenburg, Sweden
- Department of Radiology, Sahlgrenska University Hospital, Bruna stråket 11b V 2 SU/Sahlgrenska, 413 45 Gothenburg, Sweden
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12
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Alabousi M, Wilson E, Al-Ghetaa RK, Patlas MN. General Review on the Current Management of Incidental Findings on Cross-Sectional Imaging: What Guidelines to Use, How to Follow Them, and Management and Medical-Legal Considerations. Radiol Clin North Am 2021; 59:501-509. [PMID: 34053601 DOI: 10.1016/j.rcl.2021.03.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
"Incidentalomas" are a common part of daily practice for radiologists, and knowledge of appropriate management guidelines is important in ensuring that no potentially clinically relevant findings are missed or are lost to follow-up in asymptomatic patients. Incidental findings of the brain, spine, thyroid, lungs, breasts, liver, adrenals, spleen, pancreas, kidneys, bowel, and ovaries are discussed, including where to find guidelines for management recommendations, how to follow them, and medical-legal considerations.
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Affiliation(s)
- Mostafa Alabousi
- Department of Radiology, McMaster University, 1280 Main St W, Hamilton, ON L8S 4L8, Canada.
| | - Evan Wilson
- Department of Radiology, McMaster University, 1280 Main St W, Hamilton, ON L8S 4L8, Canada
| | - Rayeh Kashef Al-Ghetaa
- Institute of Health Policy, Management and Evaluation, University of Toronto, 155 College St 4th Floor, Toronto, ON M5T 3M6, Canada
| | - Michael N Patlas
- Department of Radiology, McMaster University, Hamilton General Hospital, 237 Barton St E, Hamilton, ON L8L 2X2, Canada
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13
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Incidental thorax imaging findings in abdominal computed tomography: Results of a tertiary center. JOURNAL OF SURGERY AND MEDICINE 2021. [DOI: 10.28982/josam.935203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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14
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Meltzer C, Fagman E, Vikgren J, Molnar D, Borna E, Beni MM, Brandberg J, Bergman B, Båth M, Johnsson ÅA. Surveillance of small, solid pulmonary nodules at digital chest tomosynthesis: data from a cohort of the pilot Swedish CArdioPulmonary bioImage Study (SCAPIS). Acta Radiol 2021; 62:348-359. [PMID: 32438877 PMCID: PMC7930602 DOI: 10.1177/0284185120923106] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Background Digital tomosynthesis (DTS) might be a low-dose/low-cost alternative to computed tomography (CT). Purpose To investigate DTS relative to CT for surveillance of incidental, solid pulmonary nodules. Material and Methods Recruited from a population study, 106 participants with indeterminate solid pulmonary nodules on CT underwent surveillance with concurrently performed CT and DTS. Nodule size on DTS was assessed by manual diameter measurements and semi-automatic nodule segmentations were independently performed on CT. Measurement agreement was analyzed according to Bland–Altman with 95% limits of agreement (LoA). Detection of nodule volume change > 25% by DTS in comparison to CT was evaluated with receiver operating characteristics (ROC). Results A total of 81 nodules (76%) were assessed as measurable on DTS by two independent observers. Inter- and intra-observer LoA regarding change in average diameter were ± 2 mm. Calculation of relative volume change on DTS resulted in wide inter- and intra-observer LoA in the order of ± 100% and ± 50%. Comparing relative volume change between DTS and CT resulted in LoA of –58% to 67%. The area under the ROC curve regarding the ability of DTS to detect volumetric changes > 25% on CT was 0.58 (95% confidence interval [CI] = 0.40–0.76) and 0.50 (95% CI = 0.35–0.66) for the two observers. Conclusion The results of the present study show that measurement variability limits the agreement between DTS and CT regarding nodule size change for small solid nodules.
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Affiliation(s)
- Carin Meltzer
- Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden
- Department of Radiology, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
| | - Erika Fagman
- Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden
- Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Jenny Vikgren
- Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden
- Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - David Molnar
- Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden
- Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Eivind Borna
- Krefting Research Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Sweden
| | - Maral Mirzai Beni
- Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - John Brandberg
- Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden
- Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Bengt Bergman
- Department of Respiratory Medicine, Sahlgrenska University Hospital, Sweden
- Department of Respiratory Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Sweden
| | - Magnus Båth
- Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Åse A Johnsson
- Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden
- Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden
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15
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Gillies RJ, Schabath MB. Radiomics Improves Cancer Screening and Early Detection. Cancer Epidemiol Biomarkers Prev 2020; 29:2556-2567. [PMID: 32917666 DOI: 10.1158/1055-9965.epi-20-0075] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 03/18/2020] [Accepted: 08/31/2020] [Indexed: 11/16/2022] Open
Abstract
Imaging is a key technology in the early detection of cancers, including X-ray mammography, low-dose CT for lung cancer, or optical imaging for skin, esophageal, or colorectal cancers. Historically, imaging information in early detection schema was assessed qualitatively. However, the last decade has seen increased development of computerized tools that convert images into quantitative mineable data (radiomics), and their subsequent analyses with artificial intelligence (AI). These tools are improving diagnostic accuracy of early lesions to define risk and classify malignant/aggressive from benign/indolent disease. The first section of this review will briefly describe the various imaging modalities and their use as primary or secondary screens in an early detection pipeline. The second section will describe specific use cases to illustrate the breadth of imaging modalities as well as the benefits of quantitative image analytics. These will include optical (skin cancer), X-ray CT (pancreatic and lung cancer), X-ray mammography (breast cancer), multiparametric MRI (breast and prostate cancer), PET (pancreatic cancer), and ultrasound elastography (liver cancer). Finally, we will discuss the inexorable improvements in radiomics to build more robust classifier models and the significant limitations to this development, including access to well-annotated databases, and biological descriptors of the imaged feature data.See all articles in this CEBP Focus section, "NCI Early Detection Research Network: Making Cancer Detection Possible."
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Affiliation(s)
- Robert J Gillies
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida. .,Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.,Department of Thoracic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
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16
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Lee JS, Lisker S, Vittinghoff E, Cherian R, McCoy DB, Rybkin A, Su G, Sarkar U. Follow-up of incidental pulmonary nodules and association with mortality in a safety-net cohort. ACTA ACUST UNITED AC 2020; 6:351-359. [PMID: 31373897 DOI: 10.1515/dx-2019-0008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Accepted: 04/13/2019] [Indexed: 12/21/2022]
Abstract
Background Though incidental pulmonary nodules are common, rates of guideline-recommended surveillance and associations between surveillance and mortality are unclear. In this study, we describe adherence (categorized as complete, partial, late and none) to guideline-recommended surveillance among patients with incidental 5-8 mm pulmonary nodules and assess associations between adherence and mortality. Methods This was a retrospective cohort study of 551 patients (≥35 years) with incidental pulmonary nodules conducted from September 1, 2008 to December 31, 2016, in an integrated safety-net health network. Results Of the 551 patients, 156 (28%) had complete, 87 (16%) had partial, 93 (17%) had late and 215 (39%) had no documented surveillance. Patients were followed for a median of 5.2 years [interquartile range (IQR), 3.6-6.7 years] and 82 (15%) died during follow-up. Adjusted all-cause mortality rates ranged from 2.24 [95% confidence interval (CI), 1.24-3.25] deaths per 100 person-years for complete follow-up to 3.30 (95% CI, 2.36-4.23) for no follow-up. In multivariable models, there were no statistically significant associations between the levels of surveillance and mortality (p > 0.16 for each comparison with complete surveillance). Compared with complete surveillance, adjusted mortality rates were non-significantly increased by 0.45 deaths per 100 person-years (95% CI, -1.10 to 2.01) for partial, 0.55 (95% CI, -1.08 to 2.17) for late and 1.05 (95% CI, -0.35 to 2.45) for no surveillance. Conclusions Although guideline-recommended surveillance of small incidental pulmonary nodules was incomplete or absent in most patients, gaps in surveillance were not associated with statistically significant increases in mortality in a safety-net population.
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Affiliation(s)
- Jonathan S Lee
- Division of General Internal Medicine, University of California, San Francisco, CA 94143-0320, USA
| | - Sarah Lisker
- Center for Vulnerable Populations, University of California, San Francisco, CA 94143-0320, USA
| | - Eric Vittinghoff
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94143-0320, USA
| | - Roy Cherian
- Center for Vulnerable Populations, University of California, San Francisco, CA 94143-0320, USA
| | - David B McCoy
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143-0320, USA
| | - Alex Rybkin
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143-0320, USA
| | - George Su
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, CA 94143-0320, USA
| | - Urmimala Sarkar
- Center for Vulnerable Populations, University of California, San Francisco, CA 94143-0320, USA
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17
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Abstract
Quantitative extraction of imaging features from medical scans (‘radiomics’) has attracted a lot of research attention in the last few years. The literature has consistently emphasized the potential use of radiomics for computer-assisted diagnosis, as well as for predicting survival and response to treatment. Radiomics is appealing in that it enables full-field analysis of the lesion, provides nearly real-time results, and is non-invasive. Still, a lot of studies suffer from a series of drawbacks such as lack of standardization and repeatability. Such limitations, along with the unmet demand for large enough image datasets for training the algorithms, are major hurdles that still limit the application of radiomics on a large scale. In this paper, we review the current developments, potential applications, limitations, and perspectives of PET/CT radiomics with specific focus on the management of patients with lung cancer.
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18
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Rosenkrantz AB, Xue X, Gyftopoulos S, Kim DC, Nicola GN. Downstream Costs Associated with Incidental Pulmonary Nodules Detected on CT. Acad Radiol 2019; 26:798-802. [PMID: 30093215 DOI: 10.1016/j.acra.2018.07.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2018] [Revised: 07/16/2018] [Accepted: 07/16/2018] [Indexed: 10/28/2022]
Abstract
RATIONALE AND OBJECTIVES To explore downstream costs associated with incidental pulmonary nodules detected on CT. MATERIALS AND METHODS The cohort comprised 200 patients with an incidental pulmonary nodule on chest CT. Downstream events (chest CT, PET/CT, office visits, percutaneous biopsy, and wedge resection) were identified from the electronic medical record. The 2017 Fleischner Society Guidelines were used to classify radiologists' recommendations and ordering physician management for the nodules. Downstream costs for nodule management were estimated from national Medicare rates, and average costs were determined. RESULTS Average downstream cost per nodule was $393. Costs were greater when ordering physicians over-managed relative to radiologist recommendations ($940) vs. when adherent ($637) or under-managing ($166) relative to radiologists recommendations. Costs were also greater when ordering physicians over-managed relative to Fleischner Society guidelines ($860) vs. when under-managing ($208) or adherent ($292) to guidelines. Costs did not vary significantly based on whether or not radiologists recommended follow-up imaging ($167-$397), nor whether radiologists were adherent or under- or over-recommended relative to Fleischner Society guidelines ($313-$444). Costs were also higher in older patients, patients with a smoking history, and larger nodules. Five nodules underwent wedge resection and diagnosed as malignancies. No patient demonstrated recurrence or metastasis. Average cost per diagnosed malignancy was $3090. CONCLUSION Downstream costs for incidental pulmonary nodules are highly variable and particularly high when ordering physicians over-manage relative to radiologist recommendations and Fleischner Society guidelines. To reduce unnecessary utilization and cost from over-management, radiologists may need to assume a greater role in partnering with ordering physicians to ensure appropriate, guideline-adherent, and follow-up testing.
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Robertson J, Nicholls S, Bardin P, Ptasznik R, Steinfort D, Miller A. Incidental Pulmonary Nodules Are Common on CT Coronary Angiogram and Have a Significant Cost Impact. Heart Lung Circ 2019; 28:295-301. [DOI: 10.1016/j.hlc.2017.11.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2017] [Revised: 08/24/2017] [Accepted: 11/03/2017] [Indexed: 12/21/2022]
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Prevalence of Asymptomatic Intraductal Papillary Mucinous Neoplasms in Healthy and Ill Populations Detected by Ultrasonography: A Single-Center Study of 6353 Outpatients. Pancreas 2019; 48:113-120. [PMID: 30451793 DOI: 10.1097/mpa.0000000000001205] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVES The aim of this study was to establish the prevalence of intraductal papillary mucinous neoplasms (IPMNs) without and with high-risk stigmata (HRS)/worrisome features (WF) and the epidemiologic association between IPMNs and other diseases. METHODS Ultrasound examinations of outpatients were evaluated. The IPMN was confirmed by magnetic resonance imaging. The prevalence of IPMNs and HRS/WF IPMNs was calculated. The association between IPMNs and other diseases was studied. RESULTS The prevalence rate of IPMNs was 3.4%. A total of 1,531,264 IPMNs were expected in Italian population (2.5%), whereas 2257 per 100,000 citizens (2.3%) were expected in the European standard population (ESP2013). The prevalence rates of HRS/WF IPMNs were 0.5%, 0.7%, and 0.6%, in our, the Italian, and the ESP2013 populations, respectively. A total of 432,881 and 620 HRS/WF IPMNs per 100,000 residents were expected in the Italian and the ESP2013 populations, respectively. The IPMN prevalence increased over 50 years of age (odds ratio [OR], 3.2; P < 0.001) and over 70 years of age (OR, 1.9; P < 0.001). Female sex was related to the presence of IPMNs (OR, 1.9; P < 0.001). CONCLUSIONS Intraductal papillary mucinous neoplasms had a high prevalence in asymptomatic nonhospitalized populations. Age older than 50 years identified a possible risk category.
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Paks M, Leong P, Einsiedel P, Irving LB, Steinfort DP, Pascoe DM. Ultralow dose CT for follow-up of solid pulmonary nodules: A pilot single-center study using Bland-Altman analysis. Medicine (Baltimore) 2018; 97:e12019. [PMID: 30142849 PMCID: PMC6112944 DOI: 10.1097/md.0000000000012019] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Solid pulmonary nodules are a common finding requiring serial computed tomography (CT) imaging. We sought to explore the detection and measurement accuracy of an ultralow-dose CT (ULDCT) protocol compared with our standard low-dose CT (LDCT) nodule follow-up protocol.In this pragmatic single-center pilot prospective cohort study, patients scheduled for clinically indicated CT surveillance of 1 or more known solid pulmonary nodules >2 mm underwent ULDCT immediately after routine LDCT. The Bland-Altman 95% limits of agreement for diameter and volumetry were calculated.In all, 57 patients underwent 60 imaging episodes, with 170 evaluable nodules. ULDCT detected all known solid pulmonary nodules >2 mm. Bland-Altman analyses demonstrated clinically agreement for both nodule diameter and volume, both of which fell within prespecified limits.This single-center pilot study suggests that ULDCT may be of use in surveillance of known solid pulmonary nodules >2 mm.
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Affiliation(s)
| | - Paul Leong
- Department of Respiratory Medicine, Melbourne Health
| | | | - Louis B. Irving
- Department of Respiratory Medicine, Melbourne Health
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
| | - Daniel P. Steinfort
- Department of Respiratory Medicine, Melbourne Health
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
| | - Diane M. Pascoe
- Department of Radiology
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
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Meltzer C, Vikgren J, Bergman B, Molnar D, Norrlund RR, Hassoun A, Gottfridsson B, Båth M, Johnsson ÅA. Detection and Characterization of Solid Pulmonary Nodules at Digital Chest Tomosynthesis: Data from a Cohort of the Pilot Swedish Cardiopulmonary Bioimage Study. Radiology 2018; 287:1018-1027. [PMID: 29613826 DOI: 10.1148/radiol.2018171481] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Purpose To investigate the performance of digital tomosynthesis (DTS) for detection and characterization of incidental solid lung nodules. Materials and Methods This prospective study was based on a population study with 1111 randomly selected participants (age range, 50-64 years) who underwent a medical evaluation that included chest computed tomography (CT). Among these, 125 participants with incidental nodules 5 mm or larger were included in this study, which added DTS in conjunction with the follow-up CT and was performed between March 2012 and October 2014. DTS images were assessed by four thoracic radiologists blinded to the true number of nodules in two separate sessions according to the 5-mm (125 participants) and 6-mm (55 participants) cut-off for follow-up of incidental nodules. Pulmonary nodules were directly marked on the images by the readers and graded regarding confidence of presence and recommendation for follow-up. Statistical analyses included jackknife free-response receiver operating characteristic, receiver operating characteristic, and Cohen κ coefficient. Results Overall detection rate ranges of CT-proven nodules 5 mm or larger and 6 mm or larger were, respectively, 49%-58% and 48%-62%. Jackknife free-response receiver operating characteristics figure of merit for detection of CT-proven nodules 5 mm or larger and 6 mm or larger was 0.47 and 0.51, respectively, and area under the receiver operating characteristic curve regarding recommendation for follow-up was 0.62 and 0.65, respectively. Conclusion Routine use of DTS would result in lower detection rates and reduced number of small nodules recommended for follow-up. © RSNA, 2018.
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Affiliation(s)
- Carin Meltzer
- From the Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden (C.M., J.V., D.M., R.R.N., Å.A.J.), Department of Radiology and Nuclear Medicine at Oslo University Hospital, Ullevål, Norway (C.M.), Department of Radiology, Sahlgrenska University Hospital, Sweden (J.V., D.M., R.R.N., A.H., B.G., Å.A.J.), Department of Respiratory Medicine, Sahlgrenska University Hospital, Sweden (B.B.), Department of Respiratory Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Sweden (B.B.), Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden (M.B.), Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Sweden (M.B.)
| | - Jenny Vikgren
- From the Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden (C.M., J.V., D.M., R.R.N., Å.A.J.), Department of Radiology and Nuclear Medicine at Oslo University Hospital, Ullevål, Norway (C.M.), Department of Radiology, Sahlgrenska University Hospital, Sweden (J.V., D.M., R.R.N., A.H., B.G., Å.A.J.), Department of Respiratory Medicine, Sahlgrenska University Hospital, Sweden (B.B.), Department of Respiratory Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Sweden (B.B.), Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden (M.B.), Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Sweden (M.B.)
| | - Bengt Bergman
- From the Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden (C.M., J.V., D.M., R.R.N., Å.A.J.), Department of Radiology and Nuclear Medicine at Oslo University Hospital, Ullevål, Norway (C.M.), Department of Radiology, Sahlgrenska University Hospital, Sweden (J.V., D.M., R.R.N., A.H., B.G., Å.A.J.), Department of Respiratory Medicine, Sahlgrenska University Hospital, Sweden (B.B.), Department of Respiratory Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Sweden (B.B.), Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden (M.B.), Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Sweden (M.B.)
| | - David Molnar
- From the Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden (C.M., J.V., D.M., R.R.N., Å.A.J.), Department of Radiology and Nuclear Medicine at Oslo University Hospital, Ullevål, Norway (C.M.), Department of Radiology, Sahlgrenska University Hospital, Sweden (J.V., D.M., R.R.N., A.H., B.G., Å.A.J.), Department of Respiratory Medicine, Sahlgrenska University Hospital, Sweden (B.B.), Department of Respiratory Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Sweden (B.B.), Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden (M.B.), Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Sweden (M.B.)
| | - Rauni Rossi Norrlund
- From the Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden (C.M., J.V., D.M., R.R.N., Å.A.J.), Department of Radiology and Nuclear Medicine at Oslo University Hospital, Ullevål, Norway (C.M.), Department of Radiology, Sahlgrenska University Hospital, Sweden (J.V., D.M., R.R.N., A.H., B.G., Å.A.J.), Department of Respiratory Medicine, Sahlgrenska University Hospital, Sweden (B.B.), Department of Respiratory Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Sweden (B.B.), Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden (M.B.), Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Sweden (M.B.)
| | - Asmaa Hassoun
- From the Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden (C.M., J.V., D.M., R.R.N., Å.A.J.), Department of Radiology and Nuclear Medicine at Oslo University Hospital, Ullevål, Norway (C.M.), Department of Radiology, Sahlgrenska University Hospital, Sweden (J.V., D.M., R.R.N., A.H., B.G., Å.A.J.), Department of Respiratory Medicine, Sahlgrenska University Hospital, Sweden (B.B.), Department of Respiratory Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Sweden (B.B.), Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden (M.B.), Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Sweden (M.B.)
| | - Bengt Gottfridsson
- From the Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden (C.M., J.V., D.M., R.R.N., Å.A.J.), Department of Radiology and Nuclear Medicine at Oslo University Hospital, Ullevål, Norway (C.M.), Department of Radiology, Sahlgrenska University Hospital, Sweden (J.V., D.M., R.R.N., A.H., B.G., Å.A.J.), Department of Respiratory Medicine, Sahlgrenska University Hospital, Sweden (B.B.), Department of Respiratory Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Sweden (B.B.), Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden (M.B.), Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Sweden (M.B.)
| | - Magnus Båth
- From the Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden (C.M., J.V., D.M., R.R.N., Å.A.J.), Department of Radiology and Nuclear Medicine at Oslo University Hospital, Ullevål, Norway (C.M.), Department of Radiology, Sahlgrenska University Hospital, Sweden (J.V., D.M., R.R.N., A.H., B.G., Å.A.J.), Department of Respiratory Medicine, Sahlgrenska University Hospital, Sweden (B.B.), Department of Respiratory Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Sweden (B.B.), Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden (M.B.), Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Sweden (M.B.)
| | - Åse A Johnsson
- From the Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden (C.M., J.V., D.M., R.R.N., Å.A.J.), Department of Radiology and Nuclear Medicine at Oslo University Hospital, Ullevål, Norway (C.M.), Department of Radiology, Sahlgrenska University Hospital, Sweden (J.V., D.M., R.R.N., A.H., B.G., Å.A.J.), Department of Respiratory Medicine, Sahlgrenska University Hospital, Sweden (B.B.), Department of Respiratory Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Sweden (B.B.), Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Academy at University of Gothenburg, Sweden (M.B.), Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Sweden (M.B.)
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Azharuddin M, Adamo N, Malik A, Livornese DS. Evaluating pulmonary nodules to detect lung cancer: Does Fleischner criteria really work? JOURNAL OF CANCER RESEARCH AND PRACTICE 2018. [DOI: 10.1016/j.jcrpr.2017.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Anzidei M, Porfiri A, Andrani F, Di Martino M, Saba L, Catalano C, Bezzi M. Imaging-guided chest biopsies: techniques and clinical results. Insights Imaging 2017. [PMID: 28639114 PMCID: PMC5519500 DOI: 10.1007/s13244-017-0561-6] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Background This article aims to comprehensively describe indications, contraindications, technical aspects, diagnostic accuracy and complications of percutaneous lung biopsy. Methods Imaging-guided biopsy currently represents one of the predominant methods for obtaining tissue specimens in patients with lung nodules; in many cases treatment protocols are based on histological information; thus, biopsy is frequently performed, when technically feasible, or in case other techniques (such as bronchoscopy with lavage) are inconclusive. Results Although a coaxial system is suitable in any case, two categories of needles can be used: fine-needle aspiration biopsy (FNAB) and core-needle biopsy (CNB), with the latter demonstrated to have a slightly higher overall sensitivity, specificity and accuracy. Conclusion Percutaneous lung biopsy is a safe procedure even though a few complications are possible: pneumothorax, pulmonary haemorrhage and haemoptysis are common complications, while air embolism and seeding are rare, but potentially fatal complications. Teaching points • Imaging-guided biopsy is one of the main methods to obtain lung nodule specimens. • CT has the highest accuracy for diagnosis as an imaging guide. • Compared to FNAB, CNB has a higher accuracy for diagnosis. • Pneumothorax and parenchymal pulmonary haemorrhage care the most frequent complications. • Several clinical and technical variables can affect diagnostic accuracy and patient safety.
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Affiliation(s)
- Michele Anzidei
- Department of Radiological, Oncological and Anatomopathological Sciences, Radiology, Sapienza, University of Rome, Policlinico Umberto I, Viale Regina Elena, 324, 00161, Rome, Italy.
| | - Andrea Porfiri
- Department of Radiological, Oncological and Anatomopathological Sciences, Radiology, Sapienza, University of Rome, Policlinico Umberto I, Viale Regina Elena, 324, 00161, Rome, Italy
| | - Fabrizio Andrani
- Department of Radiological, Oncological and Anatomopathological Sciences, Radiology, Sapienza, University of Rome, Policlinico Umberto I, Viale Regina Elena, 324, 00161, Rome, Italy
| | - Michele Di Martino
- Department of Radiological, Oncological and Anatomopathological Sciences, Radiology, Sapienza, University of Rome, Policlinico Umberto I, Viale Regina Elena, 324, 00161, Rome, Italy
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari, Polo di Monserrato, Italy
| | - Carlo Catalano
- Department of Radiological, Oncological and Anatomopathological Sciences, Radiology, Sapienza, University of Rome, Policlinico Umberto I, Viale Regina Elena, 324, 00161, Rome, Italy
| | - Mario Bezzi
- Department of Radiological, Oncological and Anatomopathological Sciences, Radiology, Sapienza, University of Rome, Policlinico Umberto I, Viale Regina Elena, 324, 00161, Rome, Italy
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