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Rshaidat H, Meredith L, Woodroof J, Aikhionbare I, Koeneman SH, Shusted C, Ruane B, Barta J, Okusanya OT. Incidence and Management of Cardiothoracic Relevant Extrapulmonary Findings Found on Low-Dose Computed Tomography. Ann Thorac Surg 2024:S0003-4975(24)00389-8. [PMID: 38815847 DOI: 10.1016/j.athoracsur.2024.05.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 04/09/2024] [Accepted: 05/06/2024] [Indexed: 06/01/2024]
Abstract
BACKGROUND We aimed to investigate the incidence of extrapulmonary findings identified on low-dose computed tomography (CT) that may warrant evaluation by cardiothoracic surgeons and describe their management and referral patterns at our institution. METHODS We conducted a retrospective cohort study of patients who underwent low-dose CT through a centralized Lung Cancer Screening Program at Thomas Jefferson University Hospital between January 2018 and December 2022. An electronic medical record review was performed for patients with incidental findings. Demographic, workup, referral, and management data were collected. RESULTS Of 2285 patients who underwent low-dose CT, 368 (16%) had an extrapulmonary finding that may have an indication for clinical evaluation by a cardiothoracic surgeon. The most common incidental finding was a hiatal hernia, with a prevalence of 6.3% (144 of 2285), followed by ascending thoracic aneurysms, with a prevalence of 3.6% (82 of 2285), and small pericardial effusions, with a prevalence of 1.2% (28 of 2285). Of the patients with symptomatic hiatal hernias, 29% (14 of 48) were referred to a cardiothoracic surgeon compared with only 6.25% (6 of 96) in the asymptomatic group. Of the patients with thoracic aneurysms, 48% (39 of 82) had aneurysms ≥4.2 cm. Of the ≥4.2 cm group, 18% (7 of 39) were monitored by a cardiothoracic surgeon compared with 11.6% (5 of 43) in patients with aneurysms <4.2 cm. CONCLUSIONS Hiatal hernias and ascending thoracic aneurysms were the 2 most prevalent incidental findings identified on low-dose CT during lung cancer screening. We demonstrated potential gaps in hiatal hernia referral patterns. Referring patients with thoracic aneurysms to cardiothoracic surgeons may not be initially warranted.
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Affiliation(s)
- Hamza Rshaidat
- Division of Esophageal and Thoracic Surgery, Department of Surgery, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
| | - Luke Meredith
- Division of Esophageal and Thoracic Surgery, Department of Surgery, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
| | - Jacob Woodroof
- Division of Esophageal and Thoracic Surgery, Department of Surgery, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
| | - Itohan Aikhionbare
- Division of Esophageal and Thoracic Surgery, Department of Surgery, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
| | - Scott H Koeneman
- Division of Biostatistics and Bioinformatics, Department of Pharmacology, Physiology and Cancer Biology, Sidney Kimmel Medical College, Philadelphia, Pennsylvania
| | - Christine Shusted
- Department of Pulmonology, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
| | - Brooke Ruane
- Department of Pulmonology, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
| | - Julie Barta
- Department of Pulmonology, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
| | - Olugbenga T Okusanya
- Division of Esophageal and Thoracic Surgery, Department of Surgery, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania.
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2
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Bucher AM, Henzel K, Meyer HJ, Ehrengut C, Müller L, Schramm D, Akinina A, Drechsel M, Kloeckner R, Isfort P, Sähn MJ, Fink M, More D, Melekh B, Meinel FG, Dreger F, May M, Siegler L, Münzfeld H, Ruppel R, Penzkofer T, Kim MS, Balzer M, Borggrefe J, Surov A. Pericardial Effusion Predicts Clinical Outcomes in Patients with COVID-19: A Nationwide Multicenter Study. Acad Radiol 2024; 31:1784-1791. [PMID: 38155024 DOI: 10.1016/j.acra.2023.12.003] [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: 08/28/2023] [Revised: 11/25/2023] [Accepted: 12/01/2023] [Indexed: 12/30/2023]
Abstract
RATIONALE AND OBJECTIVES The prognostic role of pericardial effusion (PE) in Covid 19 is unclear. The aim of the present study was to estimate the prognostic role of PE in patients with Covid 19 in a large multicentre setting. MATERIALS AND METHODS This retrospective study is a part of the German multicenter project RACOON (Radiological Cooperative Network of the Covid 19 pandemic). The acquired sample comprises 1197 patients, 363 (30.3%) women and 834 (69.7%) men. In every case, chest computed tomography was analyzed for PE. Data about 30-day mortality, need for mechanical ventilation and need for intensive care unit (ICU) admission were collected. Data were evaluated by means of descriptive statistics. Group differences were calculated with Mann-Whitney test and Fisher exact test. Uni-and multivariable regression analyses were performed. RESULTS Overall, 46.4% of the patients were admitted to ICU, mechanical lung ventilation was performed in 26.6% and 30-day mortality was 24%. PE was identified in 159 patients (13.3%). The presence of PE was associated with 30-day mortality: HR= 1.54, CI 95% (1.05; 2.23), p = 0.02 (univariable analysis), and HR= 1.60, CI 95% (1.03; 2.48), p = 0.03 (multivariable analysis). Furthermore, density of PE was associated with the need for intubation (OR=1.02, CI 95% (1.003; 1.05), p = 0.03) and the need for ICU admission (OR=1.03, CI 95% (1.005; 1.05), p = 0.01) in univariable regression analysis. The presence of PE was associated with 30-day mortality in male patients, HR= 1.56, CI 95%(1.01-2.43), p = 0.04 (multivariable analysis). In female patients, none of PE values predicted clinical outcomes. CONCLUSION The prevalence of PE in Covid 19 is 13.3%. PE is an independent predictor of 30-day mortality in male patients with Covid 19. In female patients, PE plays no predictive role.
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Affiliation(s)
- Andreas Michael Bucher
- Institute of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfut, Germany (A.M.B., K.H.)
| | - Kristina Henzel
- Institute of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfut, Germany (A.M.B., K.H.)
| | - Hans Jonas Meyer
- Department of Radiology, University Hospital of Leipzig, Leipzig, Germany (H.J.M., C.E.)
| | - Constantin Ehrengut
- Department of Radiology, University Hospital of Leipzig, Leipzig, Germany (H.J.M., C.E.)
| | - Lukas Müller
- Department of Diagnostic and Interventional Radiology, University Medical Center Mainz, Mainz, Germany (L.M.)
| | - Dominik Schramm
- Department of Radiology University Hospital of Halle, Halle, Germany (D.S., A.A., M.D.)
| | - Alena Akinina
- Department of Radiology University Hospital of Halle, Halle, Germany (D.S., A.A., M.D.)
| | - Michelle Drechsel
- Department of Radiology University Hospital of Halle, Halle, Germany (D.S., A.A., M.D.)
| | - Roman Kloeckner
- Department of Radiology University Hospital Schleswig-Holstein-Campus Luebeck, Luebeck, Germany (R.K.)
| | - Peter Isfort
- Department of Radiology University Hospital of Aachen, Aachen, Germany (P.I., M.J.S.)
| | - Marwin-Jonathan Sähn
- Department of Radiology University Hospital of Aachen, Aachen, Germany (P.I., M.J.S.)
| | - Matthias Fink
- Clinic for Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany (M.F., D.M.)
| | - Dorottya More
- Clinic for Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany (M.F., D.M.)
| | - Bohdan Melekh
- Department of Radiology and Nuclear Medicine, University Hospital of Magdeburg, Magdeburg, Germany (B.M., A.S.)
| | - Felix G Meinel
- Department of Radiology University Hospital of Rostock, Rostock, Germany (F.G.M., F.D.)
| | - Franziska Dreger
- Department of Radiology University Hospital of Rostock, Rostock, Germany (F.G.M., F.D.)
| | - Matthias May
- Department of Radiology University Hospital of Erlangen, Erlangen, Germany (M.M., L.S.)
| | - Lisa Siegler
- Department of Radiology University Hospital of Erlangen, Erlangen, Germany (M.M., L.S.)
| | - Hanna Münzfeld
- Department of Radiology University Hospital of Berlin, Berlin, Germany (H.M., R.R., T.P.)
| | - Richard Ruppel
- Department of Radiology University Hospital of Berlin, Berlin, Germany (H.M., R.R., T.P.)
| | - Tobias Penzkofer
- Department of Radiology University Hospital of Berlin, Berlin, Germany (H.M., R.R., T.P.)
| | - Moon-Sung Kim
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany (M.S.K., B.M.)
| | - Miriam Balzer
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany (M.S.K., B.M.)
| | - Jan Borggrefe
- Department of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr-University-Bochum, Bochum, Germany (J.B., A.S.)
| | - Alexey Surov
- Department of Radiology and Nuclear Medicine, University Hospital of Magdeburg, Magdeburg, Germany (B.M., A.S.); Department of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr-University-Bochum, Bochum, Germany (J.B., A.S.).
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3
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Grant JK, Bokhari A, Manoharan A, Koester M, Dangl M, Martillo M, Whelton SP, Martin SS, Blumenthal RS, Blaha MJ, Eng D, Fishman J, Orringer CE. Overcoming barriers to implementation: Improving incidental coronary calcium reporting on non-EKG gated chest CT scans. J Clin Lipidol 2024:S1933-2874(24)00177-6. [PMID: 38908969 DOI: 10.1016/j.jacl.2024.04.129] [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: 10/04/2023] [Revised: 03/14/2024] [Accepted: 04/18/2024] [Indexed: 06/24/2024]
Abstract
BACKGROUND Current guidelines recommend the reporting of incidental CAC on non-EKG-gated CT scans of the chest. The finding of incidental moderate or severe CAC on non-cardiac non-contrast chest CT correlates with a CAC score ≥ 100 Agatston units, a guideline-based indication for a clinician-patient discussion regarding the initiation of statin therapy. In contemporary practice, whether the presence and severity of incidental CAC are routinely reported on such CT scans of the chest is unknown. METHODS At a major university hospital, we collected a one-month convenience sample of 297 patients who had chest CT imaging for indications other than lung cancer screening (OICT) and 42 patients who underwent lung cancer chest CT screening (LSCT). We evaluated reporting patterns of incidental CAC in the body and impression of the reports as compared to the overreading of such studies by a board-certified CT chest radiologist. We hypothesized and demonstrated that there was underreporting of incidental CAC on these scans. We then undertook an initiative to educate reporting radiologists on the importance of reporting CAC and implemented a reporting template change to encourage routine reporting. Then we repeated another one-month sample (n= 363 for the OICT and n= 63 for the LSCT groups) to evaluate reporting patterns following our intervention. RESULTS The presence of incidental moderate and severe CAC was systematically underreported in the OICT group (0 and 4.8 %) and the severity was never mentioned in the impression of reports. In the LSCT group, the presence of incidental moderate and severe CAC was also underreported (66.7 % and 75 %) and the severity of CAC was mentioned 50 % of the time in the impression of the reports. Following the initiation of an educational program and radiology reporting template change, there was a significant increase in reporting of moderate or severe CAC in the OICT group (0 vs. 80.0 %, p < 0.001) and (4.8 vs. 93.5 %, p < 0.001) respectively and a significant increase in the reporting of the severity of incidental CAC for those with severe CAC in the LSCT group (50 vs. 94.1 %, p=0.006). CONCLUSION Despite guideline recommendations, Incidental CAC was underreported at a large academic center. We implemented a system that significantly improved reporting patterns of incidental CAC. Failure to report incidental CAC represents a missed opportunity to initiate preventive therapies. Hospital systems interested in improving the quality of their radiology reporting procedures should examine their practices to assure that CAC quantification is routinely performed.
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Affiliation(s)
- Jelani K Grant
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland (Drs Grant, Whelton, Martin, Blumenthal and Blaha)
| | - Amjad Bokhari
- Department of Radiology, University of Miami Miller School of Medicine (Drs Bokhari and Fishman)
| | | | - Margaret Koester
- University of Miami Miller School of Medicine (Drs Manoharan and Koester)
| | - Michael Dangl
- Department of Internal Medicine, University of Miami/Jackson Memorial Hospital (Dr Dangl)
| | - Miguel Martillo
- Bunkerhill Health, Palo Alto, CA, USA (Drs Martillo and Eng)
| | - Seamus P Whelton
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland (Drs Grant, Whelton, Martin, Blumenthal and Blaha)
| | - Seth S Martin
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland (Drs Grant, Whelton, Martin, Blumenthal and Blaha)
| | - Roger S Blumenthal
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland (Drs Grant, Whelton, Martin, Blumenthal and Blaha)
| | - Michael J Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland (Drs Grant, Whelton, Martin, Blumenthal and Blaha)
| | - David Eng
- Bunkerhill Health, Palo Alto, CA, USA (Drs Martillo and Eng)
| | - Joel Fishman
- Department of Radiology, University of Miami Miller School of Medicine (Drs Bokhari and Fishman)
| | - Carl E Orringer
- NCH Rooney Heart Institute, Naples, Florida 34102 (Dr Orringer).
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4
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Parsa S, Saleh A, Raygor V, Hoeting N, Rao A, Navar AM, Rohatgi A, Kay F, Abbara S, Khera A, Joshi PH. Measurement and Application of Incidentally Detected Coronary Calcium: JACC Review Topic of the Week. J Am Coll Cardiol 2024; 83:1557-1567. [PMID: 38631775 DOI: 10.1016/j.jacc.2024.01.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 01/19/2024] [Accepted: 01/22/2024] [Indexed: 04/19/2024]
Abstract
Coronary artery calcium (CAC) scoring is a powerful tool for atherosclerotic cardiovascular disease risk stratification. The nongated, noncontrast chest computed tomography scan (NCCT) has emerged as a source of CAC characterization with tremendous potential due to the high volume of NCCT scans. Application of incidental CAC characterization from NCCT has raised questions around score accuracy, standardization of methodology including the possibility of deep learning to automate the process, and the risk stratification potential of an NCCT-derived score. In this review, the authors aim to summarize the role of NCCT-derived CAC in preventive cardiovascular health today as well as explore future avenues for eventual clinical applicability in specific patient populations and broader health systems.
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Affiliation(s)
- Shyon Parsa
- Department of Internal Medicine, Division of Cardiology, the UT Southwestern Medical Center, Dallas, Texas, USA; Department of Internal Medicine, Stanford University Hospital, Stanford, California, USA
| | - Adam Saleh
- Texas A&M University, Engineering Medicine, Houston, Texas, USA
| | - Viraj Raygor
- Sutter Health, Cardiovascular Health, Palo Alto, California, USA
| | - Natalie Hoeting
- Department of Internal Medicine, Division of Cardiology, the UT Southwestern Medical Center, Dallas, Texas, USA
| | - Anjali Rao
- Department of Internal Medicine, Division of Cardiology, the UT Southwestern Medical Center, Dallas, Texas, USA
| | - Ann Marie Navar
- Department of Internal Medicine, Division of Cardiology, the UT Southwestern Medical Center, Dallas, Texas, USA
| | - Anand Rohatgi
- Department of Internal Medicine, Division of Cardiology, the UT Southwestern Medical Center, Dallas, Texas, USA
| | - Fernando Kay
- Department of Radiology, Division of Cardiothoracic Imaging, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Suhny Abbara
- Department of Radiology, Division of Cardiothoracic Imaging, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Amit Khera
- Department of Internal Medicine, Division of Cardiology, the UT Southwestern Medical Center, Dallas, Texas, USA
| | - Parag H Joshi
- Department of Internal Medicine, Division of Cardiology, the UT Southwestern Medical Center, Dallas, Texas, USA.
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5
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Bankier AA, MacMahon H, Colby T, Gevenois PA, Goo JM, Leung AN, Lynch DA, Schaefer-Prokop CM, Tomiyama N, Travis WD, Verschakelen JA, White CS, Naidich DP. Fleischner Society: Glossary of Terms for Thoracic Imaging. Radiology 2024; 310:e232558. [PMID: 38411514 PMCID: PMC10902601 DOI: 10.1148/radiol.232558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 01/17/2024] [Accepted: 01/31/2024] [Indexed: 02/28/2024]
Abstract
Members of the Fleischner Society have compiled a glossary of terms for thoracic imaging that replaces previous glossaries published in 1984, 1996, and 2008, respectively. The impetus to update the previous version arose from multiple considerations. These include an awareness that new terms and concepts have emerged, others have become obsolete, and the usage of some terms has either changed or become inconsistent to a degree that warranted a new definition. This latest glossary is focused on terms of clinical importance and on those whose meaning may be perceived as vague or ambiguous. As with previous versions, the aim of the present glossary is to establish standardization of terminology for thoracic radiology and, thereby, to facilitate communications between radiologists and clinicians. Moreover, the present glossary aims to contribute to a more stringent use of terminology, increasingly required for structured reporting and accurate searches in large databases. Compared with the previous version, the number of images (chest radiography and CT) in the current version has substantially increased. The authors hope that this will enhance its educational and practical value. All definitions and images are hyperlinked throughout the text. Click on each figure callout to view corresponding image. © RSNA, 2024 Supplemental material is available for this article. See also the editorials by Bhalla and Powell in this issue.
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Affiliation(s)
- Alexander A. Bankier
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - Heber MacMahon
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - Thomas Colby
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - Pierre Alain Gevenois
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - Jin Mo Goo
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - Ann N.C. Leung
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - David A. Lynch
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - Cornelia M. Schaefer-Prokop
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - Noriyuki Tomiyama
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - William D. Travis
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - Johny A. Verschakelen
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - Charles S. White
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - David P. Naidich
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
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6
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Melzer AC, Atoma B, Fabbrini AE, Campbell M, Clothier BA, Fu SS. Variation in Reporting of Incidental Findings on Initial Lung Cancer Screening and Associations With Clinician Assessment. J Am Coll Radiol 2024; 21:118-127. [PMID: 37516160 DOI: 10.1016/j.jacr.2023.03.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 03/22/2023] [Accepted: 03/27/2023] [Indexed: 07/31/2023]
Abstract
PURPOSE The aim of this study was to quantify the distribution, frequency, and clinical significance of incidental findings (IFs) on initial lung cancer screening (LCS) and the association of report characteristics with subsequent assessment. METHODS Health records of patients undergoing initial LCS from 2015 to 2018 in the Minneapolis VA Health Care System were retrospectively reviewed for demographics, Lung CT Screening Reporting & Data System coding, IFs, and subsequent clinical assessment. IFs were considered potentially significant if they were likely to require any follow-up. High-risk significant IFs (SIFs) were potentially malignant. The primary outcome was the SIF being addressed. Outcomes were analyzed using a mixed-effects model. RESULTS Patients (n = 901) were primarily male (94.1%) smokers (62.1%) with a mean age of 65.2 years. IFs were extremely common (93.9%), with an average of 2.6 IFs per scan (n = 2,296). Seven hundred eighty-six IFs (34.2%) were deemed likely SIFs, of which 58 (7.4%) were high risk. Two hundred twenty-two (28.2%) were addressed by clinicians, of which 104 (13.2%) underwent testing. Reporting of SIFs varied among radiologists, with at least one SIF in the impression in 24% to 78% of low-dose CT studies with the S modifier, used to indicate the presence of a SIF, applied to 0% to 51% of reports. In the mutually adjusted model, radiologist recommendation (adjusted odds ratio [OR], 4.67; 95% confidence interval [CI], 2.23-9.76), high-risk finding (adjusted OR, 4.35; 95% CI, 1.81-10.45), and reporting in the impression (adjusted OR, 2.58; 95% CI, 1.28-5.18) were associated with increased odds of the SIF's being addressed. CONCLUSIONS Radiologists vary in their reporting of IFs on LCS. Further standardization of reporting of SIFs may improve this process, with the simultaneous goals of generating appropriate testing when needed and minimizing low-value care.
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Affiliation(s)
- Anne C Melzer
- Medical Director of Lung Cancer Screening, Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, Minnesota; Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Minnesota Medical School, Minneapolis, Minnesota; Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota.
| | - Bethlehem Atoma
- Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Angela E Fabbrini
- Program Manager, National Center for Lung Cancer Screening, Minneapolis VA Health Care System, Minneapolis, Minnesota
| | - Megan Campbell
- Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, Minnesota
| | - Barbara A Clothier
- Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, Minnesota
| | - Steven S Fu
- Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota; Director, Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, Minnesota
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Grant JK, Orringer CE. Coronary and Extra-coronary Subclinical Atherosclerosis to Guide Lipid-Lowering Therapy. Curr Atheroscler Rep 2023; 25:911-920. [PMID: 37971683 DOI: 10.1007/s11883-023-01161-8] [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] [Accepted: 10/23/2023] [Indexed: 11/19/2023]
Abstract
PURPOSE OF REVIEW To discuss and review the technical considerations, fundamentals, and guideline-based indications for coronary artery calcium scoring, and the use of other non-invasive imaging modalities, such as extra-coronary calcification in cardiovascular risk prediction. RECENT FINDINGS The most robust evidence for the use of CAC scoring is in select individuals, 40-75 years of age, at borderline to intermediate 10-year ASCVD risk. Recent US recommendations support the use of CAC scoring in varying clinical scenarios. First, in adults with very high CAC scores (CAC ≥ 1000), the use of high-intensity statin therapy and, if necessary, guideline-based add-on LDL-C lowering therapies (ezetimibe, PCSK9-inhibitors) to achieve a ≥ 50% reduction in LDL-C and optimally an LDL-C < 70 mg/dL is recommended. In patients with a CAC score ≥ 100 at low risk of bleeding, the benefits of aspirin use may outweigh the risk of bleeding. Other applications of CAC scoring include risk estimation on non-contrast CT scans of the chest, risk prediction in younger patients (< 40 years of age), its value as a gatekeeper for the decision to perform nuclear stress testing, and to aid in risk stratification in patients presenting with low-risk chest pain. There is a correlation between extra-coronary calcification (e.g., breast arterial calcification, aortic calcification, and aortic valve calcification) and incident ASCVD events. However, its role in informing lipid management remains unclear. Identification of coronary calcium in selected patients is the single best non-invasive imaging modality to identify future ASCVD risk and inform lipid-lowering therapy decision-making.
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Affiliation(s)
- Jelani K Grant
- Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD, USA
| | - Carl E Orringer
- NCH Rooney Heart Institute, 399 9th Street North, Suite 300, Naples, FL, 34102, USA.
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8
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Kim H, Kim J, Choe YH, Kim SM. The Prognostic Impact of Coronary Artery Disease and Aortic Aneurysm: Insights From CT Protocol for Simultaneous Evaluation of Coronary Artery and Aorta. J Korean Med Sci 2023; 38:e379. [PMID: 37987106 PMCID: PMC10659927 DOI: 10.3346/jkms.2023.38.e379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 08/11/2023] [Indexed: 11/22/2023] Open
Abstract
BACKGROUND There is a strong correlation between risk factors for coronary artery disease (CAD) and aortic aneurysm (AA). We aimed to investigate the prevalence and prognostic impact of CAD and AA in patients who underwent coronary aorta computed tomography (CACT) protocol, which allowed simultaneous evaluation of coronary artery and aorta. METHODS Between 2010 and 2021, 1,553 patients who underwent CACT were enrolled from a tertiary center. The presence and location of AA and the presence of CAD were identified from CT. The primary outcome was a composite of cardiovascular death, acute coronary syndrome requiring urgent revascularization, and stroke at 3 years after the index CT scan. RESULTS Out of 1,553 enrolled patients, 179 (11.5%) had AA. The prevalence of CAD was significantly higher in patients with AA than those without (47.5% vs. 18.3%, P < 0.001). Among patients with AA, the prevalence of comorbid CAD was higher in those with abdominal AA than thoracic AA (57.3% vs. 37.8%, P = 0.014), respectively. In multivariable analysis, the presence of CAD was an independent predictor of primary outcome at 3 years (hazard ratio [HR], 2.58; 95% CI, 1.47-4.51; P = 0.001), while AA was not (HR, 1.00; 95% CI, 0.48-2.07; P = 0.993). CONCLUSION In this cohort of patients undergoing simultaneous evaluation of coronary artery and aorta using CACT protocol, patients with AA had an increased risk of comorbid CAD compared to those without AA. CAD was independently associated with adverse clinical outcomes at 3 years.
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Affiliation(s)
- Hoyoung Kim
- Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jihoon Kim
- Division of Cardiology, Department of Internal Medicine, Samsung Medical Center, Seoul, Korea
- Cardiovascular Imaging Center, Heart Vascular Stroke Institute, Samsung Medical Center, Seoul, Korea.
| | - Yeon Hyeon Choe
- Sungkyunkwan University School of Medicine, Seoul, Korea
- Cardiovascular Imaging Center, Heart Vascular Stroke Institute, Samsung Medical Center, Seoul, Korea
- Department of Radiology, Samsung Medical Center, Seoul, Korea
| | - Sung Mok Kim
- Sungkyunkwan University School of Medicine, Seoul, Korea
- Cardiovascular Imaging Center, Heart Vascular Stroke Institute, Samsung Medical Center, Seoul, Korea
- Department of Radiology, Samsung Medical Center, Seoul, Korea.
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9
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Martin MD, Kanne JP, Broderick LS, Kazerooni EA, Meyer CA. RadioGraphics Update: Lung-RADS 2022. Radiographics 2023; 43:e230037. [PMID: 37856315 DOI: 10.1148/rg.230037] [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: 10/21/2023]
Abstract
Editor's Note.-RadioGraphics Update articles supplement or update information found in full-length articles previously published in RadioGraphics. These updates, written by at least one author of the previous article, provide a brief synopsis that emphasizes important new information such as technological advances, revised imaging protocols, new clinical guidelines involving imaging, or updated classification schemes.
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Affiliation(s)
- Maria D Martin
- From the Department of Radiology, University of Wisconsin School of Medicine, 600 Highland Ave, Madison, WI 53792-3252 (M.D.M., J.P.K., L.S.B., C.A.M.); and Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (E.A.K.)
| | - Jeffrey P Kanne
- From the Department of Radiology, University of Wisconsin School of Medicine, 600 Highland Ave, Madison, WI 53792-3252 (M.D.M., J.P.K., L.S.B., C.A.M.); and Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (E.A.K.)
| | - Lynn S Broderick
- From the Department of Radiology, University of Wisconsin School of Medicine, 600 Highland Ave, Madison, WI 53792-3252 (M.D.M., J.P.K., L.S.B., C.A.M.); and Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (E.A.K.)
| | - Ella A Kazerooni
- From the Department of Radiology, University of Wisconsin School of Medicine, 600 Highland Ave, Madison, WI 53792-3252 (M.D.M., J.P.K., L.S.B., C.A.M.); and Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (E.A.K.)
| | - Cristopher A Meyer
- From the Department of Radiology, University of Wisconsin School of Medicine, 600 Highland Ave, Madison, WI 53792-3252 (M.D.M., J.P.K., L.S.B., C.A.M.); and Department of Radiology, University of Michigan Health System, Ann Arbor, Mich (E.A.K.)
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O'Dowd EL, Tietzova I, Bartlett E, Devaraj A, Biederer J, Brambilla M, Brunelli A, Chorostowska J, Decaluwe H, Deruysscher D, De Wever W, Donoghue M, Fabre A, Gaga M, van Geffen W, Hardavella G, Kauczor HU, Kerpel-Fronius A, van Meerbeeck J, Nagavci B, Nestle U, Novoa N, Prosch H, Prokop M, Putora PM, Rawlinson J, Revel MP, Snoeckx A, Veronesi G, Vliegenthart R, Weckbach S, Blum TG, Baldwin DR. ERS/ESTS/ESTRO/ESR/ESTI/EFOMP statement on management of incidental findings from low dose CT screening for lung cancer. Eur J Cardiothorac Surg 2023; 64:ezad302. [PMID: 37804174 PMCID: PMC10876118 DOI: 10.1093/ejcts/ezad302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 06/06/2023] [Indexed: 10/09/2023] Open
Abstract
BACKGROUND Screening for lung cancer with low radiation dose computed tomography has a strong evidence base, is being introduced in several European countries and is recommended as a new targeted cancer screening programme. The imperative now is to ensure that implementation follows an evidence-based process that will ensure clinical and cost effectiveness. This European Respiratory Society (ERS) task force was formed to provide an expert consensus for the management of incidental findings which can be adapted and followed during implementation. METHODS A multi-European society collaborative group was convened. 23 topics were identified, primarily from an ERS statement on lung cancer screening, and a systematic review of the literature was conducted according to ERS standards. Initial review of abstracts was completed and full text was provided to members of the group for each topic. Sections were edited and the final document approved by all members and the ERS Science Council. RESULTS Nine topics considered most important and frequent were reviewed as standalone topics (interstitial lung abnormalities, emphysema, bronchiectasis, consolidation, coronary calcification, aortic valve disease, mediastinal mass, mediastinal lymph nodes and thyroid abnormalities). Other topics considered of lower importance or infrequent were grouped into generic categories, suitable for general statements. CONCLUSIONS This European collaborative group has produced an incidental findings statement that can be followed during lung cancer screening. It will ensure that an evidence-based approach is used for reporting and managing incidental findings, which will mean that harms are minimised and any programme is as cost-effective as possible.
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Affiliation(s)
- Emma L O'Dowd
- Nottingham University Hospitals NHS Trust, Nottingham, UK
- University of Nottingham, Faculty of Medicine and Health Sciences, Nottingham, UK
| | - Ilona Tietzova
- Charles University, First Faculty of Medicine, Department of Tuberculosis and Respiratory Diseases, Prague, Czech Republic
| | - Emily Bartlett
- Royal Brompton and Harefield NHS Foundation Trust, Radiology, London, UK
| | - Anand Devaraj
- Royal Brompton and Harefield NHS Foundation Trust, Radiology, London, UK
| | - Jürgen Biederer
- University of Heidelberg, Diagnostic and Interventional Radiology, Heidelberg, Germany
- German Center for Lung Research DZL, Translational Lung Research Center TLRC, Heidelberg, Germany
- University of Latvia, Faculty of Medicine, Riga, Latvia
- Christian-Albrechts-Universität zu Kiel, Faculty of Medicine, Kiel, Germany
| | - Marco Brambilla
- Azienda Ospedaliero-Universitaria Maggiore della Carità di Novara, Novara, Italy
| | | | - Joanna Chorostowska
- Institute of Tuberculosis and Lung Diseases, Warsaw, Genetics and Clinical Immunology, Warsaw, Poland
| | | | - Dirk Deruysscher
- Maastricht University Medical Centre, Department of Radiation Oncology (MAASTRO Clinic), GROW-School for Oncology and Developmental Biology, Limburg, The Netherlands
| | - Walter De Wever
- Universitaire Ziekenhuizen Leuven, Radiology, Leuven, Belgium
| | | | - Aurelie Fabre
- University College Dublin School of Medicine, Histopathology, Dublin, Ireland
| | - Mina Gaga
- Sotiria General Hospital of Chest Diseases of Athens, 7th Respiratory Medicine Department, Athens, Greece
| | - Wouter van Geffen
- Medical Centre Leeuwarden, Department of Respiratory Medicine, Leeuwarden, The Netherlands
- University of Groningen, University Medical Center Groningen, Department of Pulmonary Diseases, Groningen, The Netherlands
| | - Georgia Hardavella
- Sotiria General Hospital of Chest Diseases of Athens, Respiratory Medicine, Athens, Greece
| | - Hans-Ulrich Kauczor
- University of Heidelberg, Diagnostic and Interventional Radiology, Heidelberg, Germany
- German Center for Lung Research DZL, Translational Lung Research Center TLRC, Heidelberg, Germany
| | - Anna Kerpel-Fronius
- National Koranyi Institute of Pulmonology, Department of Radiology, Budapest, Hungary
| | | | - Blin Nagavci
- Institute for Evidence in Medicine, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Ursula Nestle
- Kliniken Maria Hilf GmbH Monchengladbach, Nordrhein-Westfalen, Germany
| | - Nuria Novoa
- University Hospital of Salamanca, Thoracic Surgery, Salamanca, Spain
| | - Helmut Prosch
- Medical University of Vienna, Department of Biomedical Imaging and Image-guided Therapy, Vienna, Austria
| | - Mathias Prokop
- Radboud University Nijmegen Medical Center, Department of Radiology, Nijmegen, The Netherlands
| | - Paul Martin Putora
- Kantonsspital Sankt Gallen, Radiation Oncology, Sankt Gallen, Switzerland
- Inselspital Universitatsspital Bern, Radiation Oncology, Bern, Switzerland
| | | | - Marie-Pierre Revel
- Cochin Hospital, APHP, Radiology Department, Paris, France
- Université de Paris, Paris, France
| | | | - Giulia Veronesi
- Humanitas Research Hospital, Division of Thoracic and General Surgery, Rozzano, Italy
| | | | - Sabine Weckbach
- UniversitatsKlinikum Heidelberg, Heidelberg, Germany
- Bayer AG, Research and Development, Pharmaceuticals, Radiology, Berlin, Germany
| | - Torsten G Blum
- HELIOS Klinikum Emil von Behring GmbH, Lungenklinik Heckeshorn, Berlin, Germany
| | - David R Baldwin
- University of Nottingham, Faculty of Medicine and Health Sciences, Nottingham, UK
- Nottingham University Hospitals NHS Trust, Department of Respiratory Medicine, Nottingham, UK
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11
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Doss AX, Howarth TP, Ng L, Doss SA, Heraganahally SS. Significance and prognostication of mediastinal lymph node enlargement on chest computed tomography among adult Indigenous Australians. J Med Imaging Radiat Oncol 2023; 67:726-733. [PMID: 37549958 DOI: 10.1111/1754-9485.13569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 07/21/2023] [Indexed: 08/09/2023]
Abstract
INTRODUCTION There is a lack of data on chest computed tomography (CT) findings on mediastinal lymph node enlargement (MLE), including normal size threshold of less than 10 or 15 mm for MLE among Indigenous Australians. In this study, we assessed the significance and the applicability of the current guidelines for the threshold for abnormal MLE among adult Indigenous Australians. METHODS Patients who underwent chest CT between 2012 and 2020 among those referred to undergo lung function test (spirometry) were assessed for the presence of MLE which were classified as Group A (no measurable nodes), Group B (<10 mm), Group C (≥10 to 14.99 mm) and Group D (≥15 mm). RESULTS Of the total 67 patients identified to have MLE, 49 patients had at least two CT scans available for assessment over a median follow-up period of 101.3 weeks (IQR: 62.4, 235.6) and were included in the analysis. Evidence of chronic lung disease was common, with a significant proportion demonstrating either COPD or bronchiectasis and a high proportion with smoking history (93%). During the first CT scan, 34/49 (69%) had >10 mm nodes, of which 12/34 (35%) reduced in size, 22/34 (65%) remained stable, and 3/34 (9%) had malignancy on follow-up. CONCLUSION Despite most patients demonstrating the presence of significant MLE with varying size and in most >10 mm, the majority remain stable or benign in nature and only a minor proportion showed evidence of lung malignancy. Further prospective studies are needed in the characterisation of MLE among Indigenous patients.
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Affiliation(s)
- Arockia X Doss
- Department of Medical Imaging, Royal Darwin Hospital, Darwin, Northern Territory, Australia
- Curtin Medical School, Perth, Western Australia, Australia
| | - Timothy P Howarth
- College of Health and Human Sciences, Charles Darwin University, Darwin, Northern Territory, Australia
- Darwin Respiratory and Sleep Health, Darwin Private Hospital, Darwin, Northern Territory, Australia
| | - Lai Ng
- Department of Respiratory and Sleep Medicine, Royal Darwin Hospital, Darwin, Northern Territory, Australia
| | - Shibi A Doss
- Bond Medical Program, Bond University, Gold Coast, Queensland, Australia
| | - Subash Shanthakumar Heraganahally
- Darwin Respiratory and Sleep Health, Darwin Private Hospital, Darwin, Northern Territory, Australia
- Department of Respiratory and Sleep Medicine, Royal Darwin Hospital, Darwin, Northern Territory, Australia
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
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12
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O'Dowd EL, Tietzova I, Bartlett E, Devaraj A, Biederer J, Brambilla M, Brunelli A, Chorostowska-Wynimko J, Decaluwe H, Deruysscher D, De Wever W, Donoghue M, Fabre A, Gaga M, van Geffen W, Hardavella G, Kauczor HU, Kerpel-Fronius A, van Meerbeeck J, Nagavci B, Nestle U, Novoa N, Prosch H, Prokop M, Putora PM, Rawlinson J, Revel MP, Snoeckx A, Veronesi G, Vliegenthart R, Weckbach S, Blum TG, Baldwin DR. ERS/ESTS/ESTRO/ESR/ESTI/EFOMP statement on management of incidental findings from low dose CT screening for lung cancer. Eur Respir J 2023; 62:2300533. [PMID: 37802631 DOI: 10.1183/13993003.00533-2023] [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: 03/28/2023] [Accepted: 06/06/2023] [Indexed: 10/10/2023]
Abstract
BACKGROUND Screening for lung cancer with low radiation dose computed tomography has a strong evidence base, is being introduced in several European countries and is recommended as a new targeted cancer screening programme. The imperative now is to ensure that implementation follows an evidence-based process that will ensure clinical and cost effectiveness. This European Respiratory Society (ERS) task force was formed to provide an expert consensus for the management of incidental findings which can be adapted and followed during implementation. METHODS A multi-European society collaborative group was convened. 23 topics were identified, primarily from an ERS statement on lung cancer screening, and a systematic review of the literature was conducted according to ERS standards. Initial review of abstracts was completed and full text was provided to members of the group for each topic. Sections were edited and the final document approved by all members and the ERS Science Council. RESULTS Nine topics considered most important and frequent were reviewed as standalone topics (interstitial lung abnormalities, emphysema, bronchiectasis, consolidation, coronary calcification, aortic valve disease, mediastinal mass, mediastinal lymph nodes and thyroid abnormalities). Other topics considered of lower importance or infrequent were grouped into generic categories, suitable for general statements. CONCLUSIONS This European collaborative group has produced an incidental findings statement that can be followed during lung cancer screening. It will ensure that an evidence-based approach is used for reporting and managing incidental findings, which will mean that harms are minimised and any programme is as cost-effective as possible.
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Affiliation(s)
- Emma L O'Dowd
- Nottingham University Hospitals NHS Trust, Nottingham, UK
- University of Nottingham, Faculty of Medicine and Health Sciences, Nottingham, UK
| | - Ilona Tietzova
- Charles University, First Faculty of Medicine, Department of Tuberculosis and Respiratory Diseases, Prague, Czech Republic
| | - Emily Bartlett
- Royal Brompton and Harefield NHS Foundation Trust, Radiology, London, UK
| | - Anand Devaraj
- Royal Brompton and Harefield NHS Foundation Trust, Radiology, London, UK
| | - Jürgen Biederer
- University of Heidelberg, Diagnostic and Interventional Radiology, Heidelberg, Germany
- German Center for Lung Research DZL, Translational Lung Research Center TLRC, Heidelberg, Germany
- University of Latvia, Faculty of Medicine, Riga, Latvia
- Christian-Albrechts-Universität zu Kiel, Faculty of Medicine, Kiel, Germany
| | - Marco Brambilla
- Azienda Ospedaliero-Universitaria Maggiore della Carità di Novara, Novara, Italy
| | | | | | | | - Dirk Deruysscher
- Maastricht University Medical Centre, Department of Radiation Oncology (MAASTRO Clinic), GROW-School for Oncology and Developmental Biology, Limburg, The Netherlands
| | - Walter De Wever
- Universitaire Ziekenhuizen Leuven, Radiology, Leuven, Belgium
| | | | - Aurelie Fabre
- University College Dublin School of Medicine, Histopathology, Dublin, Ireland
| | - Mina Gaga
- Sotiria General Hospital of Chest Diseases of Athens, 7th Respiratory Medicine Department, Athens, Greece
| | - Wouter van Geffen
- Medical Centre Leeuwarden, Department of Respiratory Medicine, Leeuwarden, The Netherlands
- University of Groningen, University Medical Center Groningen, Department of Pulmonary Diseases, Groningen, The Netherlands
| | - Georgia Hardavella
- Sotiria General Hospital of Chest Diseases of Athens, Respiratory Medicine, Athens, Greece
| | - Hans-Ulrich Kauczor
- University of Heidelberg, Diagnostic and Interventional Radiology, Heidelberg, Germany
- German Center for Lung Research DZL, Translational Lung Research Center TLRC, Heidelberg, Germany
| | - Anna Kerpel-Fronius
- National Koranyi Institute of Pulmonology, Department of Radiology, Budapest, Hungary
| | | | - Blin Nagavci
- Institute for Evidence in Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Ursula Nestle
- Kliniken Maria Hilf GmbH Monchengladbach, Nordrhein-Westfalen, Germany
| | - Nuria Novoa
- University Hospital of Salamanca, Thoracic Surgery, Salamanca, Spain
| | - Helmut Prosch
- Medical University of Vienna, Department of Biomedical Imaging and Image-guided Therapy, Vienna, Austria
| | - Mathias Prokop
- Radboud University Nijmegen Medical Center, Department of Radiology, Nijmegen, The Netherlands
| | - Paul Martin Putora
- Kantonsspital Sankt Gallen, Radiation Oncology, Sankt Gallen, Switzerland
- Inselspital Universitatsspital Bern, Radiation Oncology, Bern, Switzerland
| | | | - Marie-Pierre Revel
- Cochin Hospital, APHP, Radiology Department, Paris, France
- Université de Paris, Paris, France
| | | | - Giulia Veronesi
- Humanitas Research Hospital, Division of Thoracic and General Surgery, Rozzano, Italy
| | | | - Sabine Weckbach
- UniversitatsKlinikum Heidelberg, Heidelberg, Germany
- Bayer AG, Research and Development, Pharmaceuticals, Radiology, Berlin, Germany
| | - Torsten G Blum
- HELIOS Klinikum Emil von Behring GmbH, Lungenklinik Heckeshorn, Berlin, Germany
| | - David R Baldwin
- Nottingham University Hospitals NHS Trust, Nottingham, UK
- University of Nottingham, Faculty of Medicine and Health Sciences, Nottingham, UK
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13
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Peng AW, Dudum R, Jain SS, Maron DJ, Patel BN, Khandwala N, Eng D, Chaudhari AS, Sandhu AT, Rodriguez F. Association of Coronary Artery Calcium Detected by Routine Ungated CT Imaging With Cardiovascular Outcomes. J Am Coll Cardiol 2023; 82:1192-1202. [PMID: 37704309 PMCID: PMC11009374 DOI: 10.1016/j.jacc.2023.06.040] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 05/30/2023] [Accepted: 06/20/2023] [Indexed: 09/15/2023]
Abstract
BACKGROUND Coronary artery calcium (CAC) is a strong predictor of cardiovascular events across all racial and ethnic groups. CAC can be quantified on nonelectrocardiography (ECG)-gated computed tomography (CT) performed for other reasons, allowing for opportunistic screening for subclinical atherosclerosis. OBJECTIVES The authors investigated whether incidental CAC quantified on routine non-ECG-gated CTs using a deep-learning (DL) algorithm provided cardiovascular risk stratification beyond traditional risk prediction methods. METHODS Incidental CAC was quantified using a DL algorithm (DL-CAC) on non-ECG-gated chest CTs performed for routine care in all settings at a large academic medical center from 2014 to 2019. We measured the association between DL-CAC (0, 1-99, or ≥100) with all-cause death (primary outcome), and the secondary composite outcomes of death/myocardial infarction (MI)/stroke and death/MI/stroke/revascularization using Cox regression. We adjusted for age, sex, race, ethnicity, comorbidities, systolic blood pressure, lipid levels, smoking status, and antihypertensive use. Ten-year atherosclerotic cardiovascular disease risk was calculated using the pooled cohort equations. RESULTS Of 5,678 adults without ASCVD (51% women, 18% Asian, 13% Hispanic/Latinx), 52% had DL-CAC >0. Those with DL-CAC ≥100 had an average 10-year ASCVD risk of 24%; yet, only 26% were on statins. After adjustment, patients with DL-CAC ≥100 had increased risk of death (HR: 1.51; 95% CI: 1.28-1.79), death/MI/stroke (HR: 1.57; 95% CI: 1.33-1.84), and death/MI/stroke/revascularization (HR: 1.69; 95% CI: 1.45-1.98) compared with DL-CAC = 0. CONCLUSIONS Incidental CAC ≥100 was associated with an increased risk of all-cause death and adverse cardiovascular outcomes, beyond traditional risk factors. DL-CAC from routine non-ECG-gated CTs identifies patients at increased cardiovascular risk and holds promise as a tool for opportunistic screening to facilitate earlier intervention.
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Affiliation(s)
- Allison W Peng
- Department of Medicine, Stanford University, Stanford, California, USA; Stanford Cardiovascular Institute, Stanford University, Stanford, California, USA. https://twitter.com/AllisonWPeng
| | - Ramzi Dudum
- Stanford Cardiovascular Institute, Stanford University, Stanford, California, USA; Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA
| | - Sneha S Jain
- Stanford Cardiovascular Institute, Stanford University, Stanford, California, USA; Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA
| | - David J Maron
- Stanford Cardiovascular Institute, Stanford University, Stanford, California, USA; Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA; Stanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California, USA
| | - Bhavik N Patel
- Department of Radiology, Mayo Clinic, Phoenix, Arizona, USA
| | | | - David Eng
- Bunkerhill Health, Palo Alto, California, USA
| | - Akshay S Chaudhari
- Stanford Cardiovascular Institute, Stanford University, Stanford, California, USA; Department of Radiology, Stanford University, Stanford, California, USA; Department of Biomedical Data Science, Stanford University, Stanford, California, USA
| | - Alexander T Sandhu
- Stanford Cardiovascular Institute, Stanford University, Stanford, California, USA; Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA; Veteran's Affairs Palo Alto Healthcare System, Palo Alto, California, USA. https://twitter.com/ATSandhu
| | - Fatima Rodriguez
- Stanford Cardiovascular Institute, Stanford University, Stanford, California, USA; Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA.
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14
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Weckbach S, Wielpütz MO, von Stackelberg O. [Patient-centered, value-based management of incidental findings in radiology]. RADIOLOGIE (HEIDELBERG, GERMANY) 2023; 63:657-664. [PMID: 37566128 DOI: 10.1007/s00117-023-01200-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/01/2023] [Indexed: 08/12/2023]
Abstract
As a byproduct of the increased use of high-resolution radiological imaging, the prevalence of incidental findings (IFs) has been increasing for years. The discovery of an incidental finding can allow early treatment of a potentially health-threatening disease and thus decisively change the course of the disease. However, many incidental findings are of low risk with little or no health impact, and yet their discovery often leads to a cascade of additional investigations. It is undisputed that incidental findings can have a direct impact on the life of the person and that not only psychosocial aspects such as worries and anxiety due to false-positive findings play a role, but that insurance, legal or professional problems can also occur under certain circumstances, which is why the correct handling of incidental findings and the accompanying ethical challenges that apply to them regularly give rise to discussions. General principles to consider when managing incidental findings are responsibility for the well-being of the patient/study participant and of society. In order to avoid overdiagnosis and overtreatment and to achieve high patient benefit, radiologists and clinicians must know how to properly deal with IFs. In recent years, various national and international societies have published important guidelines ("white papers") on how to deal with the management of IFs. It is important that radiologists are fully aware of and follow these guidelines and are also available to referring physicians for further discussions and advice. The most important fact is that the well-being of the patient must always be at the center of all decisions.
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Affiliation(s)
- Sabine Weckbach
- Research & Development, Pharmaceuticals, Radiology, Diagnostic Imaging, Data and AI Research-General Clinical Imaging Services (GCIS), Bayer AG, 13353, Berlin, Deutschland.
- University Hospital Heidelberg, Diagnostic and Interventional Radiology, Heidelberg, Deutschland.
| | - Mark O Wielpütz
- University Hospital Heidelberg, Diagnostic and Interventional Radiology, Heidelberg, Deutschland
- German Center for Lung Research (DZL), Translational Lung Research Center (TLRC) Heidelberg, Heidelberg, Deutschland
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Deutschland
| | - Oyunbileg von Stackelberg
- University Hospital Heidelberg, Diagnostic and Interventional Radiology, Heidelberg, Deutschland
- German Center for Lung Research (DZL), Translational Lung Research Center (TLRC) Heidelberg, Heidelberg, Deutschland
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Deutschland
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15
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Pathak V, Adhikari N, Conklin C. Management of Isolated Thoracic Lymphadenopathy of Unclear Etiology: A Survey of Physicians and Literature Review. Cureus 2023; 15:e41867. [PMID: 37581152 PMCID: PMC10423459 DOI: 10.7759/cureus.41867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/14/2023] [Indexed: 08/16/2023] Open
Abstract
Background After identifying incidental mediastinal lymph nodes, decisions need to be made regarding the required follow-up imaging, the intervals at which this imaging should be performed, the types of imaging and procedures needed, and when to discontinue the follow-up. The purpose of this study is to determine the majority opinion on the management of these findings and provide recommendations for future management of incidental mediastinal lymphadenopathy. Methodology Sixty-two healthcare providers from a variety of specializations were surveyed on their preference for diagnostic workup and subsequent follow-up following the finding of incidental mediastinal lymphadenopathy on computed tomography (CT) of the chest. Results For thoracic lymphadenopathy of unclear etiology and patients who are not offered endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA), most providers (47/62, 75.8%) initiate the CT scan follow-up at size 10 to 14 mm. Of those patients, 51.6% (32/62) of providers repeat the initial CT scan in three months and 41.9% (26/62) repeat the initial CT scan in six months. If the follow-up CT chest shows stable lymphadenopathy, 47.5% (29/62) repeat a CT chest every six months and 37% (23/62) repeat a CT chest every 12 months. The majority of providers (42/62, 67.7%) do not use positron emission tomography (PET)-CT for the initial evaluation of isolated thoracic lymphadenopathy and follow-up of lymphadenopathy with increasing size. For thoracic lymph nodes with a maximum diameter of 10 mm, only 4.8% (3/62) of providers continue CT screening after 24 months, while 24.6% (15/62) of providers continue CT screening after 24 months for sizes greater than 20 mm. Regarding the timing of EBUS-TBNA, 40.3% (25/62) of providers consider referring/performing this procedure at lymph nodes of size 11-15 mm, followed by 21% (13/62) of providers referring/performing the procedure at size 10 mm. Conclusions The majority of providers initiate CT scan follow-ups at 10 to 14 mm size for patients with isolated thoracic lymphadenopathy. The majority of providers do not use PET-CT for the initial evaluation of isolated thoracic lymphadenopathy. We found variable responses from providers regarding the timing of follow-up intervals and total duration. There is a need for consensus guidelines regarding the management of thoracic lymphadenopathy of unclear etiology.
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Affiliation(s)
- Vikas Pathak
- Pulmonary and Critical Care, Virginia Institute of Lung Diseases, Richmond, USA
| | - Nawaraj Adhikari
- Internal Medicine, Bon Secours Memorial Regional Medical Center, Mechanicsville, USA
| | - Courtney Conklin
- Primary Care Sports Medicine, University of Alabama, Tuscaloosa, USA
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16
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Gareen IF, Gutman R, Sicks J, Tailor TD, Hoffman RM, Trivedi AN, Flores E, Underwood E, Cochancela J, Chiles C. Significant Incidental Findings in the National Lung Screening Trial. JAMA Intern Med 2023; 183:677-684. [PMID: 37155190 PMCID: PMC10167600 DOI: 10.1001/jamainternmed.2023.1116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 02/24/2023] [Indexed: 05/10/2023]
Abstract
Importance Low-dose computed tomography (LDCT) lung screening has been shown to reduce lung cancer mortality. Significant incidental findings (SIFs) have been widely reported in patients undergoing LDCT lung screening. However, the exact nature of these SIF findings has not been described. Objective To describe SIFs reported in the LDCT arm of the National Lung Screening Trial and classify SIFs as reportable or not reportable to the referring clinician (RC) using the American College of Radiology's white papers on incidental findings. Design, Setting, and Participants This was a retrospective case series study of 26 455 participants in the National Lung Screening Trial who underwent at least 1 screening examination with LDCT. The trial was conducted from 2002 to 2009, and data were collected at 33 US academic medical centers. Main Outcomes and Measures Significant incident findings were defined as a final diagnosis of a negative screen result with significant abnormalities that were not suspicious for lung cancer or a positive screen result with emphysema, significant cardiovascular abnormality, or significant abnormality above or below the diaphragm. Results Of 26 455 participants, 10 833 (41.0%) were women, the mean (SD) age was 61.4 (5.0) years, and there were 1179 (4.5%) Black, 470 (1.8%) Hispanic/Latino, and 24 123 (91.2%) White individuals. Participants were scheduled to undergo 3 screenings during the course of the trial; the present study included 75 126 LDCT screening examinations performed for 26 455 participants. A SIF was reported for 8954 (33.8%) of 26 455 participants who were screened with LDCT. Of screening tests with a SIF detected, 12 228 (89.1%) had a SIF considered reportable to the RC, with a higher proportion of reportable SIFs among those with a positive screen result for lung cancer (7632 [94.1%]) compared with those with a negative screen result (4596 [81.8%]). The most common SIFs reported included emphysema (8677 [43.0%] of 20 156 SIFs reported), coronary artery calcium (2432 [12.1%]), and masses or suspicious lesions (1493 [7.4%]). Masses included kidney (647 [3.2%]), liver (420 [2.1%]), adrenal (265 [1.3%]), and breast (161 [0.8%]) abnormalities. Classification was based on free-text comments; 2205 of 13 299 comments (16.6%) could not be classified. The hierarchical reporting of final diagnosis in NLST may have been associated with an overestimate of severe emphysema in participants with a positive screen result for lung cancer. Conclusions and Relevance This case series study found that SIFs were commonly reported in the LDCT arm of the National Lung Screening Trial, and most of these SIFs were considered reportable to the RC and likely to require follow-up. Future screening trials should standardize SIF reporting.
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Affiliation(s)
- Ilana F. Gareen
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island
- Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
| | - Roee Gutman
- Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
- Department of Biostatistics, Brown University of Public Health, Providence, Rhode Island
| | - JoRean Sicks
- Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
| | - Tina D. Tailor
- Division of Cardiothoracic Radiology, Department of Radiology, Duke Health, Durham, North Carolina
| | - Richard M. Hoffman
- Holden Comprehensive Cancer Center, Department of Medicine, University of Iowa Carver College of Medicine, University of Iowa, Iowa City
| | - Amal N. Trivedi
- Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island
- Center of Innovation for Long-term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island
| | - Efren Flores
- Department of Radiology, Massachusetts General Hospital, Boston
| | - Ellen Underwood
- Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
| | - Jerson Cochancela
- Department of Biostatistics, Brown University of Public Health, Providence, Rhode Island
| | - Caroline Chiles
- Department of Radiology, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina
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Tisi S, Creamer AW, Dickson J, Horst C, Quaife S, Hall H, Verghese P, Gyertson K, Bowyer V, Levermore C, Hacker AM, Teague J, Farrelly L, Nair A, Devaraj A, Hackshaw A, Hurst JR, Janes S. Prevalence and clinical characteristics of non-malignant CT detected incidental findings in the SUMMIT lung cancer screening cohort. BMJ Open Respir Res 2023; 10:e001664. [PMID: 37321665 PMCID: PMC10277548 DOI: 10.1136/bmjresp-2023-001664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 05/26/2023] [Indexed: 06/17/2023] Open
Abstract
BACKGROUND Pulmonary and extrapulmonary incidental findings are frequently identified on CT scans performed for lung cancer screening. Uncertainty regarding their clinical significance and how and when such findings should be reported back to clinicians and participants persists. We examined the prevalence of non-malignant incidental findings within a lung cancer screening cohort and investigated the morbidity and relevant risk factors associated with incidental findings. We quantified the primary and secondary care referrals generated by our protocol. METHODS The SUMMIT study (NCT03934866) is a prospective observational cohort study to examine the performance of delivering a low-dose CT (LDCT) screening service to a high-risk population. Spirometry, blood pressure, height/weight and respiratory history were assessed as part of a Lung Health Check. Individuals at high risk of lung cancer were offered an LDCT and returned for two further annual visits. This analysis is a prospective evaluation of the standardised reporting and management protocol for incidental findings developed for the study on the baseline LDCT. RESULTS In 11 115 participants included in this analysis, the most common incidental findings were coronary artery calcification (64.2%) and emphysema (33.4%). From our protocolised management approach, the number of participants requiring review for clinically relevant findings in primary care was 1 in 20, and the number potentially requiring review in secondary care was 1 in 25. CONCLUSIONS Incidental findings are common in lung cancer screening and can be associated with reported symptoms and comorbidities. A standardised reporting protocol allows systematic assessment and standardises onward management.
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Affiliation(s)
- Sophie Tisi
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - Andrew W Creamer
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - Jennifer Dickson
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - Carolyn Horst
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - Samantha Quaife
- Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Helen Hall
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - Priyam Verghese
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - Kylie Gyertson
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Vicky Bowyer
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Claire Levermore
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Anne-Marie Hacker
- Cancer Research UK and UCL Cancer Trials Centre, University College London, London, UK
| | - Jonathon Teague
- Cancer Research UK and UCL Cancer Trials Centre, University College London, London, UK
| | - Laura Farrelly
- Cancer Research UK and UCL Cancer Trials Centre, University College London, London, UK
| | - Arjun Nair
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Anand Devaraj
- National Heart and Lung Institute, Imperial College London, London, UK
- Royal Brompton and Harefield NHS Trust, London, UK
| | - Allan Hackshaw
- Cancer Research UK and UCL Cancer Trials Centre, University College London, London, UK
| | - John R Hurst
- UCL Respiratory, University College London, London, UK
| | - Samuel Janes
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
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18
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Kwee TC, Roest C, Kasalak Ö, Pennings JP, de Jong IJ, Yakar D. A new medical imaging postprocessing and interpretation concept to investigate the clinical relevance of incidentalomas: can we keep Pandora's box closed? Acta Radiol 2023; 64:2170-2179. [PMID: 37116890 DOI: 10.1177/02841851231158769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Abstract
BACKGROUND Incidental imaging findings (incidentalomas) are common, but there is currently no effective means to investigate their clinical relevance. PURPOSE To introduce a new concept to postprocess a medical imaging examination in a way that incidentalomas are concealed while its diagnostic potential is maintained to answer the referring physician's clinical questions. MATERIAL AND METHODS A deep learning algorithm was developed to automatically eliminate liver, gallbladder, pancreas, spleen, adrenal glands, lungs, and bone from unenhanced computed tomography (CT). This deep learning algorithm was applied to a separately held set of unenhanced CT scans of 27 patients who underwent CT to evaluate for urolithiasis, and who had a total of 32 incidentalomas in one of the aforementioned organs. RESULTS Median visual scores for organ elimination on modified CT were 100% for the liver, gallbladder, spleen, and right adrenal gland, 90%-99% for the pancreas, lungs, and bones, and 80%-89% for the left adrenal gland. In 26 out of 27 cases (96.3%), the renal calyces and pelves, ureters, and urinary bladder were completely visible on modified CT. In one case, a short (<1 cm) trajectory of the left ureter was not clearly visible due to adjacent atherosclerosis that was mistaken for bone by the algorithm. Of 32 incidentalomas, 28 (87.5%) were completely concealed on modified CT. CONCLUSION This preliminary technical report demonstrated the feasibility of a new approach to postprocess and evaluate medical imaging examinations that can be used by future prospective research studies with long-term follow-up to investigate the clinical relevance of incidentalomas.
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Affiliation(s)
- Thomas C Kwee
- Medical Imaging Center, Departments of Radiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Christian Roest
- Medical Imaging Center, Departments of Radiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Ömer Kasalak
- Medical Imaging Center, Departments of Radiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Jan P Pennings
- Medical Imaging Center, Departments of Radiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Igle Jan de Jong
- Department of Urology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Derya Yakar
- Medical Imaging Center, Departments of Radiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
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19
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Hammer MM, Kong CY. Cost-effectiveness of Follow-up CT for Incidental Ascending Aortic Dilatation. Radiol Cardiothorac Imaging 2023; 5:e220169. [PMID: 37124633 PMCID: PMC10141333 DOI: 10.1148/ryct.220169] [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: 08/04/2022] [Revised: 12/30/2022] [Accepted: 02/20/2023] [Indexed: 05/02/2023]
Abstract
Purpose To evaluate the cost-effectiveness of CT follow-up strategies for incidental aortic dilatation. Materials and Methods In this cost-effectiveness analysis, a simulation model was developed with 1 000 000 adult patients aged 55-75 years with incidentally detected dilated aortas measuring 40-50 mm. Follow-up CT strategies were evaluated for various patient age- and aortic size-based cutoffs. Follow-up frequency ranged from 1 to 3 years, as well as a single follow-up CT examination at 1 year. Patient survival was determined by risk of aortic dissection or rupture and surgical- and age-based mortality. Costs and quality-adjusted life-years (QALYs) were calculated for each strategy within the simulated cohort. A probabilistic sensitivity analysis was performed by varying model parameters. Results The cost-effective strategy with the highest QALYs under a willingness-to-pay threshold of $100 000 per QALY was follow-up CT for patients younger than 60 years with aortas measuring at least 40 mm in diameter every 3 years (incremental cost-effectiveness ratio, $62 511; 95% CI: $52 168, $77 739). With this strategy, follow-up imaging was needed for only 17% of dilated aortas in the cohort. Probabilistic sensitivity analysis demonstrated that the cost-effective strategies at $100 000 per QALY threshold included the following: no follow-up for patients with aortas smaller than 50 mm (39% of simulations), follow-up every 3 years for patients younger than 55 years with aortas measuring at least 45 mm (21%), and follow-up every 3 years for patients older than 65 years with aortas measuring at least 40 mm (14%). Conclusion Follow-up CT for an incidentally detected dilated ascending aorta smaller than 50 mm is likely not cost-effective in patients older than 60-65 years.Keywords: CT, Thorax, Vascular, Aorta, Cost-Effectiveness, Cost-Benefit Analysis Supplemental material is available for this article. © RSNA, 2023See also commentary by Shen and Fleischmann in this issue.
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Sharpe RE, Huffman RI, McLaughlin CG, Blubaugh P, Strobel MJ, Palen T. Applying Implementation Science Principles to Systematize High-Quality Care for Potentially Significant Imaging Findings. J Am Coll Radiol 2023; 20:324-334. [PMID: 36922106 DOI: 10.1016/j.jacr.2022.11.019] [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: 06/30/2022] [Revised: 10/29/2022] [Accepted: 11/16/2022] [Indexed: 03/14/2023]
Abstract
OBJECTIVE Use principles of implementation science to improve the diagnosis and management of potentially significant imaging findings. METHODS Multidisciplinary stakeholders codified the diagnosis and management of potentially significant imaging findings in eight organs and created a finding tracking management system that was embedded in radiologist workflows and IT systems. Radiologists were trained to use this system. An automated finding tracking management system was created to support consistent high-quality care through care pathway visualizations, increased awareness of specific findings in the electronic medical record, templated notifications, and creation of an electronic safety net. Primary outcome was the rate of quality reviews related to eight targeted imaging findings. Secondary outcome was radiologist use of the finding tracking management tool. RESULTS In the 4 years after implementation, the tool was used to track findings in 7,843 patients who received 10,015 ultrasound, CT, MRI, x-ray, and nuclear medicine examinations that were interpreted by all 34 radiologists. Use of the tool lead to a decrease in related quality reviews (from 8.0% to 0.0%, P < .007). Use of the system increased from 1.7% of examinations in the early implementation phase to 3.1% (+82%, P < .00001) in the postimplementation phase. Each radiologist used the tool on an average of 294.6 unique examinations (SD 404.8). Overall, radiologists currently use the tool approximately 4,000 times per year. DISCUSSION Radiologists frequently used a finding tracking management system to ensure effective communication and raise awareness of the importance of recommended future follow-up studies. Use of this system was associated with a decrease in the rate of quality review requests in this domain.
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Affiliation(s)
- Richard E Sharpe
- Division Chair of Breast Imaging and Radiologist, Mayo Clinic, Phoenix, Arizona; Member, ACR Peer Learning Committee; Member, ACR Appropriateness Panel for Breast Imaging; and Member, ACR Commission on Screening & Emerging Technology Committee.
| | - Ryan I Huffman
- Radiologist, Scripps Clinic Medical Group, La Jolla, California
| | - Christopher G McLaughlin
- Radiologist, Department Technical Lead, Radiology, Colorado Permanente Medical Group, Denver, Colorado
| | | | - Mary Jo Strobel
- Director, Clinical Quality Oversight, Quality, Risk, and Patient Safety, Kaiser Permanente Colorado, Denver, Colorado
| | - Ted Palen
- Internal Medicine Physician and Scientific Investigator, Colorado Permanente Medical Group, Denver, Colorado
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21
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Expert review for clinical and translational imaging actionable imaging findings in the daily PET/CT scenario. Clin Transl Imaging 2023; 11:127-139. [PMID: 36846503 PMCID: PMC9938511 DOI: 10.1007/s40336-023-00544-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Accepted: 01/25/2023] [Indexed: 02/21/2023]
Abstract
Background and aim The American College of Radiology (ACR) defines "actionable findings" the ones requiring a special communication between radiologists and referring clinicians, suggesting to organize their categorization in a three-degree scale on the basis of the risk for the patient to develop complications. These cases may fall in a grey-zone communication between different care figures with the risk of being underestimated or even not being considered at all. In this paper, our aim is to adapt the ACR categorization to the most frequent actionable findings encountered when reporting PET/CT images in a Nuclear Medicine Department, describing the most frequent and relevant imaging features and presenting the modalities of communication and the related clinical interventions that can be modulated by the prognostic severity of the clinical cases. Materials and methods We performed a descriptive, observational and critical analysis of the most relevant literature on the topic of "actionable findings", in particular, starting from the reports of the ACR Actionable Reporting Work Group, we categorised and described, in a narrative review, the most relevant "actionable findings" encountered in the Nuclear Medicine PET/CT daily practice. Results To the best of our knowledge, to date there are no clear indications on this selective PET/CT topic, considering that the current recommendations target mainly radiologists and assume a certain level of radiological expertise. We resumed and classified the main imaging conditions under the term of "actionable findings" according to the corresponding anatomical districts, and we described their most relevant imaging features (independently of PET avidity or not). Furthermore, a different communication timing and strategy was suggested on the basis of the findings' urgency. Conclusion A systematic categorization of the actionable imaging findings according to their prognostic severity may help the reporting physician to choose how and when to communicate with the referring clinician or to identify cases requiring a prompt clinical evaluation. Effective communication is a critical component of diagnostic imaging: timely receipt of the information is more important than the method of delivery.
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22
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Claaß LV, Mayr P, Paschold L, Weber T, Terziev D, Jehs B, Brill R, Dober J, Märkl B, Wickenhauser C, Czapiewski P, Trepel M, Claus R, Binder M. No association of malignant B-cell non-Hodgkin lymphomas with ipsilateral SARS-CoV-2 vaccination. Cancer Med 2023; 12:9313-9321. [PMID: 36775947 PMCID: PMC10166887 DOI: 10.1002/cam4.5687] [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: 08/08/2022] [Revised: 01/10/2023] [Accepted: 02/01/2023] [Indexed: 02/14/2023] Open
Abstract
PURPOSE SARS-CoV-2 vaccines cause acute ipsilateral lymph node swelling in an important proportion of vaccines. Thus far, no malignant lymphadenopathies have been reported in temporal context to vaccination in the ipsilateral draining lymph node areas. EXPERIMENTAL DESIGN Prompted by two cases with unilateral axillary lymphomas that occurred ipsilaterally to prior SARS-CoV-2 vaccination, we systematically retrieved all B-cell non-Hodgkin lymphomas at two German University Medical Centers diagnosed before and after introduction of SARS-CoV-2 vaccines in Germany. Available lymphoma tissue (n=19) was subjected to next-generation immunosequencing of the IGH locus. Malignant clonotypes were mined in the CoVabDab database and published data sets from 342 uninfected individuals, 55 individuals 28 days after anti-SARS-CoV-2 vaccination and 139 individuals with acute COVID-19 together encompassing over 1 million CDR3 sequences in total. RESULTS Of 313 newly diagnosed cases in the two centers and observation periods, 27 unilateral manifestations in the defined deltoid draining regions were identified. The majority thereof were diffuse large B-cell lymphomas (18 of 27 cases). Eleven unilateral cases were diagnosed in the era of SARS-CoV-2 vaccination and 16 in the control period before introduction of such vaccines. Of the 11 unilateral lymphomas that occurred during the vaccination period, ten had received a SARS-CoV-2 vaccine prior to lymphoma diagnosis. These cases were further evaluated. While left-sided were more frequent than right-sided lymphomas (19 vs 8 cases), no statistically significant association of vaccination site and laterality of the lymphoma manifestation was found. The unilateral lymphomas showed a normal range of B-cell receptors typically found in these lymphoma subtypes with no evidence for anti-SARS-CoV-2 sequences in the malignant clonotype. CONCLUSIONS Together, we found no evidence that the current SARS-CoV-2 vaccines could serve as a trigger for lymphomagenesis in the draining lymph node areas of the deltoid region used for vaccination.
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Affiliation(s)
- Luise Victoria Claaß
- Department of Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Patrick Mayr
- Department of Hematology and Oncology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Lisa Paschold
- Department of Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Thomas Weber
- Department of Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Denis Terziev
- Department of Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Bertram Jehs
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Richard Brill
- Clinic and Policlinic of Radiology, Martin-Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Johannes Dober
- Clinic and Policlinic of Radiology, Martin-Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Bruno Märkl
- General Pathology and Molecular Diagnostics, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Claudia Wickenhauser
- Institute of Pathology, University Hospital Halle (Saale), Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Piotr Czapiewski
- Department of Pathology, Medical Faculty, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany.,Department of Pathology Dessau Medical Centre, Institute of Pathology, Dessau, Germany
| | - Martin Trepel
- Department of Hematology and Oncology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Rainer Claus
- General Pathology and Molecular Diagnostics, Medical Faculty, University of Augsburg, Augsburg, Germany.,Comprehensive Cancer Center Augsburg (CCCA), Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Mascha Binder
- Department of Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
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23
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Munden R. Incidentalomas in chest CT. Br J Radiol 2023; 96:20211368. [PMID: 35315291 PMCID: PMC9975517 DOI: 10.1259/bjr.20211368] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 02/15/2022] [Accepted: 03/07/2022] [Indexed: 01/27/2023] Open
Abstract
Advances in imaging technology have dramatically increased the resolution of CT and improved detection of disease; these advances also have led to an increase in incidentalomas or incidental findings that often do not represent significant disease. Incidental findings on thoracic CT are common and can be problematic and expensive to evaluate. Thoracic imagers often are having to make recommendations for appropriate management which adds to the burden. Thoracic CT incidental findings are broad and include those of the lungs, heart, mediastinum, pleura, chest wall, thoracic soft tissues as well as the lower neck and upper abdomen. Of these, incidental pulmonary nodules have garnered the most interest over the years, but all incidentals may be proven to represent significant disease. In the USA, the American College of Radiology has generated white papers on incidentals that have proven useful. Currently, a number of investigations to utilize artificial intelligence for qualification and management of incidentals are ongoing. Likewise, the radiology/imaging community must support efforts to collaboratively address incidental findings and management concerns. As such, continued efforts to establish guidelines for appropriate identification, classification and management of incidentals is important to improve patient care and assure fiscally responsible assessment.
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24
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Dyer DS, White C, Conley Thomson C, Gieske MR, Kanne JP, Chiles C, Parker MS, Menchaca M, Wu CC, Kazerooni EA. A Quick Reference Guide for Incidental Findings on Lung Cancer Screening CT Examinations. J Am Coll Radiol 2023; 20:162-172. [PMID: 36509659 DOI: 10.1016/j.jacr.2022.08.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 08/12/2022] [Accepted: 08/18/2022] [Indexed: 12/14/2022]
Abstract
PURPOSE The US Preventive Services Task Force has recommended lung cancer screening (LCS) with low-dose CT (LDCT) in high-risk individuals since 2013. Because LDCT encompasses the lower neck, chest, and upper abdomen, many incidental findings (IFs) are detected. The authors created a quick reference guide to describe common IFs in LCS to assist LCS program navigators and ordering providers in managing the care continuum in LCS. METHODS The ACR IF white papers were reviewed for findings on LDCT that were age appropriate for LCS. A draft guide was created on the basis of recommendations in the IF white papers, the medical literature, and input from subspecialty content experts. The draft was piloted with LCS program navigators recruited through contacts by the ACR LCS Steering Committee. The navigators completed a survey on overall usefulness, clarity, adequacy of content, and user experience with the guide. RESULTS Seven anatomic regions including 15 discrete organs with 45 management recommendations were identified as relevant to the age of individuals eligible for LCS. The draft was piloted by 49 LCS program navigators from 32 facilities. The guide was rated as useful and clear by 95% of users. No unexpected or adverse experiences were reported in using the guide. On the basis of feedback, relevant sections were reviewed and edited. CONCLUSIONS The ACR Lung Cancer Screening CT Incidental Findings Quick Reference Guide outlines the common IFs in LCS and can serve as an easy-to-use resource for ordering providers and LCS program navigators to help guide management.
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Affiliation(s)
- Debra S Dyer
- Chair, Department of Radiology, Director, Lung Cancer Screening Program, and Director, Incidental Lung Nodule Program & Lung Nodule Registry, National Jewish Health, Denver, Colorado.
| | - Charles White
- Vice Chair, Clinical Affairs, University of Maryland School of Medicine, Baltimore, Maryland. https://twitter.com/
| | - Carey Conley Thomson
- Chair, Department of Medicine and Director, Multidisciplinary Thoracic Oncology and Lung Cancer Screening Program, Department of Medicine, Mount Auburn Hospital/Beth Israel Lahey Health, Cambridge, Massachusetts; and Harvard Medical School, Boston, Massachusetts
| | - Michael R Gieske
- Director, Lung Cancer Screening Physician, Director, Virtual Health Director, Primary Care East Department, Lead Provider, Ft. Mitchell St. Elizabeth Primary Care, Physician Director, Policy and Government Relations, St Elizabeth Healthcare, Edgewood, Kentucky
| | - Jeffrey P Kanne
- Chief, Thoracic Imaging and Vice Chair, Quality and Safety, Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin. https://twitter.com/
| | - Caroline Chiles
- Director, Lung Cancer Screening Program, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina. https://twitter.com/
| | - Mark S Parker
- Director, Thoracic Imaging Section and Director, Thoracic Imaging Fellowship Program, Early Detection Lung Screening Program, VCU Health Systems, Richmond, Virginia
| | - Martha Menchaca
- Department of Radiology, University of Illinois at Chicago, Chicago, Illinois
| | - Carol C Wu
- Deputy Chair Ad Interim, Department of Thoracic Imaging, MD Anderson Cancer Center, Houston, Texas. https://twitter.com/
| | - Ella A Kazerooni
- Associate Chief Clinical Officer for Diagnostics and Clinical Information Management, University of Michigan Medical School, Ann Arbor, Michigan. https://twitter.com/
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25
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Kim JH, Choe J, Kim HK, Lee HY. MRI-Based Stepwise Approach to Anterior Mediastinal Cystic Lesions for Diagnosis and Further Management. Korean J Radiol 2023; 24:62-78. [PMID: 36606621 PMCID: PMC9830146 DOI: 10.3348/kjr.2022.0606] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 10/06/2022] [Accepted: 10/22/2022] [Indexed: 01/03/2023] Open
Abstract
As the majority of incidentally detected lesions in the anterior mediastinum is small nodules with soft tissue appearance, the differential diagnosis has typically included thymic neoplasm and prevascular lymph node, with benign cyst. Overestimation or misinterpretation of these lesions can lead to unnecessary surgery for ultimately benign conditions. nonsurgical anterior mediastinal lesions. The pitfalls of MRI evaluation for anterior mediastinal cystic lesions are as follows: first, we acknowledge the limitation of T2-weighted images for evaluating benign cystic lesions. Due to variable contents within benign cystic lesions, such as hemorrhage, T2 signal intensity may be variable. Second, owing to extensive necrosis and cystic changes, the T2 shine-through effect may be seen on diffusion-weighted images (DWI), and small solid portions might be missed on enhanced images. Therefore, both enhancement and DWI with apparent diffusion coefficient values should be considered. An algorithm will be suggested for the diagnostic evaluation of anterior mediastinal cystic lesions, and finally, a management strategy based on MRI features will be suggested.
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Affiliation(s)
- Jong Hee Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jooae Choe
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Hong Kwan Kim
- Department of Thoracic and Cardiovascular Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ho Yun Lee
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
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Lopez-Mattei J, Yang EH, Baldassarre LA, Agha A, Blankstein R, Choi AD, Chen MY, Meyersohn N, Daly R, Slim A, Rochitte C, Blaha M, Whelton S, Dzaye O, Dent S, Milgrom S, Ky B, Iliescu C, Mamas MA, Ferencik M. Cardiac computed tomographic imaging in cardio-oncology: An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT). Endorsed by the International Cardio-Oncology Society (ICOS). J Cardiovasc Comput Tomogr 2023; 17:66-83. [PMID: 36216699 DOI: 10.1016/j.jcct.2022.09.002] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 09/01/2022] [Accepted: 09/12/2022] [Indexed: 11/21/2022]
Abstract
Cardio-Oncology is a rapidly growing sub-specialty of medicine, however, there is very limited guidance on the use of cardiac CT (CCT) in the care of Cardio-Oncology patients. In order to fill in the existing gaps, this Expert Consensus statement comprised of a multidisciplinary collaboration of experts in Cardiology, Radiology, Cardiovascular Multimodality Imaging, Cardio-Oncology, Oncology and Radiation Oncology aims to summarize current evidence for CCT applications in Cardio-Oncology and provide practice recommendations for clinicians.
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Affiliation(s)
| | - Eric H Yang
- UCLA Cardio-Oncology Program, Division of Cardiology, Department of Medicine, University of California at Los Angeles, Los Angeles, CA, USA
| | | | - Ali Agha
- Department of Cardiology, Baylor College of Medicine, Houston, TX, USA
| | - Ron Blankstein
- Division of Cardiology, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Andrew D Choi
- Division of Cardiology and Department of Radiology, The George Washington University School of Medicine, Washington, DC, USA
| | - Marcus Y Chen
- National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nandini Meyersohn
- Division of Cardiovascular Imaging, Department of Radiology, Massachusetts General Hospital, USA
| | - Ryan Daly
- Franciscan Health Indianapolis, Indianapolis, IN, USA
| | | | - Carlos Rochitte
- InCor Heart Institute, University of São Paulo Medical School, São Paulo, Brazil
| | - Michael Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA
| | - Seamus Whelton
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA
| | - Omar Dzaye
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA
| | - Susan Dent
- Duke Cancer Institute, Department of Medicine, Duke University, Durham, NC, USA
| | - Sarah Milgrom
- Department of Radiation Oncology, University of Colorado, Boulder, CO, USA
| | - Bonnie Ky
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Cezar Iliescu
- Heart and Vascular Institute, Lee Health, Fort Myers, FL, USA
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Keele University, UK
| | - Maros Ferencik
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, USA
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27
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Li SJ, Wu Q. Endobronchial ultrasound-guided transbronchial needle aspiration in intrathoracic lymphadenopathy with extrathoracic malignancy. World J Clin Cases 2022; 10:13227-13238. [PMID: 36683624 PMCID: PMC9851006 DOI: 10.12998/wjcc.v10.i36.13227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 11/07/2022] [Accepted: 12/05/2022] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) for the diagnosis of mediastinal and hilar lymph is poorly studied in patients with extrathoracic malignancies.
AIM To evaluate the value of EBUS-TBNA for the diagnosis of enlarged intrathoracic lymph nodes in patients with extrathoracic malignancies.
METHODS This was a retrospective study of patients with extrathoracic malignancies who were referred to Peking University Cancer Hospital from January 2013 to December 2018 for EBUS-TBNA due to intrathoracic lymphadenopathy. The specimens were defined as positive for malignancy, negative for non-malignancy (tuberculosis, sarcoidosis, etc.), and without a definitive diagnosis. Sensitivity, negative predictive value (NPV) for malignancy, and overall accuracy were calculated. Complications were recorded.
RESULTS A total of 80 patients underwent EBUS-TBNA and had a final diagnosis, among which 50 (62.5%) were diagnosed with extrathoracic malignancy with intrathoracic lymph nodes metastasis, 14 (17.5%) were diagnosed with primary lung cancer with nodal involvement, and 16 (20.0%) exhibited benign behavior including tuberculosis, sarcoidosis and reactive lymphadenitis or who had benign follow-up. The diagnostic sensitivity, NPV, and accuracy of EBUS-TBNA for intrathoracic lymphadenopathy in patients with extrathoracic malignancy were 93.8% (n = 60/64), 80.0% (n = 16/20), and 95.0% (n = 76/80), respectively. In the multivariate analysis, longer short axis of the lymph node (OR: 1.200, 95%CI: 1.024-1.407; P = 0.024) and synchronous lung lesion (OR: 19.449, 95%CI: 1.875-201.753; P = 0.013) were independently associated with malignant intrathoracic lymphadenopathy. No characteristics of the lymph nodes and EBUS-TBNA were associated with the location of malignant intrathoracic lymphadenopathy, and no major complication was observed.
CONCLUSION EBUS-TBNA is a simple and accurate procedure for the diagnosis of intrathoracic lymphadenopathy with extrathoracic malignancy.
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Affiliation(s)
- Shi-Jie Li
- Endoscopy Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Qi Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing 100142, China
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28
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Lloyd-Jones DM, Morris PB, Ballantyne CM, Birtcher KK, Covington AM, DePalma SM, Minissian MB, Orringer CE, Smith SC, Waring AA, Wilkins JT. 2022 ACC Expert Consensus Decision Pathway on the Role of Nonstatin Therapies for LDL-Cholesterol Lowering in the Management of Atherosclerotic Cardiovascular Disease Risk: A Report of the American College of Cardiology Solution Set Oversight Committee. J Am Coll Cardiol 2022; 80:1366-1418. [PMID: 36031461 DOI: 10.1016/j.jacc.2022.07.006] [Citation(s) in RCA: 154] [Impact Index Per Article: 77.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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Lee JE, Jeong WG, Lee HJ, Kim YH, Chae KJ, Jeong YJ. Relationship between Incidental Abnormalities on Screening Thoracic Computed Tomography and Mortality: A Long-Term Follow-Up Analysis. Korean J Radiol 2022; 23:998-1008. [PMID: 36175001 PMCID: PMC9523229 DOI: 10.3348/kjr.2022.0131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 07/04/2022] [Accepted: 07/18/2022] [Indexed: 11/26/2022] Open
Abstract
OBJECTIVE The present study aimed to assess the relationship between incidental abnormalities on thoracic computed tomography (CT) and mortality in a general screening population using a long-term follow-up analysis. MATERIALS AND METHODS We retrospectively collected the medical records and CT images of 840 participants (mean age ± standard deviation [SD], 58.5 ± 6.7 years; 564 male) who underwent thoracic CT at a single health promotion center between 2007 and 2010. Two thoracic radiologists independently reviewed all CT images and evaluated any incidental abnormalities (interstitial lung abnormality [ILA], emphysema, coronary artery calcification [CAC], aortic valve [AV] calcification, and pulmonary nodules). Kaplan-Meier analysis with log-rank and z-tests was performed to assess the relationship between incidental CT abnormalities and all-cause mortality in the subsequent follow-up. Cox proportional hazards regression was performed to further identify risk factors of all-cause mortality among the incidental CT abnormalities and clinical factors. RESULTS Among the 840 participants, 55 (6%), 171 (20%), 288 (34%), 396 (47%), and 97 (11%) had findings of ILA, emphysema, CAC, pulmonary nodule, and AV calcification, respectively, on initial CT. The participants were followed up for a mean period ± SD of 10.9 ± 1.4 years. All incidental CT abnormalities were associated with all-cause mortality in univariable analysis (p < 0.05). However, multivariable analysis further revealed fibrotic ILA as an independent risk factor for all-cause mortality (hazard ratio, 2.52 [95% confidence interval, 1.02-6.22], p = 0.046). ILA were also identified as an independent risk factor for lung cancer or respiratory disease-related deaths. CONCLUSION Incidental abnormalities on screening thoracic CT were associated with increased mortality during the long-term follow-up. Among incidental CT abnormalities, fibrotic ILA were independently associated with increased mortality. Appropriate management and surveillance may be required for patients with fibrotic ILA on thoracic CT obtained for general screening purposes.
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Affiliation(s)
- Jong Eun Lee
- Department of Radiology, Chonnam National University Hospital, Gwangju, Korea
| | - Won Gi Jeong
- Department of Radiology, Chonnam National University Hwasun Hospital, Hwasun, Korea.
| | - Hyo-Jae Lee
- Department of Radiology, Chonnam National University Hospital, Gwangju, Korea
| | - Yun-Hyeon Kim
- Department of Radiology, Chonnam National University Hospital, Gwangju, Korea
| | - Kum Ju Chae
- Department of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea
| | - Yeon Joo Jeong
- Department of Radiology and Biomedical Research Institute, Pusan National University Hospital, Busan, Korea
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Rosati F, Baudo M, D'Ancona G, Tomasi C, Zanin F, Cuko B, DI Bacco L, Borghesi A, Zoppetti M, Muneretto C, Benussi S. Every cloud has a silver lining: COVID-19 chest-CT screening prevents unnecessary cardiac surgery. THE JOURNAL OF CARDIOVASCULAR SURGERY 2022; 63:606-613. [PMID: 35758087 DOI: 10.23736/s0021-9509.22.12278-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
BACKGROUND Unenhanced chest CT can identify incidental findings (IFs) leading to management strategy change. We report our institutional experience with routine chest-CT as preoperative screening tool during the COVID-19 pandemic, focusing on the impact of IFs. METHODS All patients scheduled for cardiac surgery from May 1st to December 31st 2020, underwent preoperative unenhanced chest-CT according to COVID-19 pandemic institutional protocol. We have analyzed IFs incidence, reported consequent operative changes, and identified IFs clinical determinants. RESULTS Out of 447, 278 patients were included. IFs rate was 7.2% (20/278): a solid mass (11/20, 55%), lymphoproliferative disease (1/20, 5%), SARS-CoV-2 pneumonia (2/20, 10%), pulmonary artery chronic thromboembolism (1/20, 5%), anomalous vessel anatomy (2/20, 10%), voluminous hiatal hernia (1/20, 5%), mitral annulus calcification (1/20, 5%), and porcelain aorta (1/20, 5%) were reported. Based on IFs, 4 patients (20%-4/278, 1.4%) were not operated, 8 (40%-8/278, 2.9%) underwent a procedure different from the one originally planned one, and 8 (40%-8/278, 2.9%) needed additional preoperative investigations before undergoing the planned surgery. At univariate regression, coronary artery disease, atrial fibrillation, and history of cancer were significantly more often present in patients presenting with significant IFs. History of malignancy was identified as the only independent determinant of significant IFs at chest-CT (OR=4.27 IQR: [1.14-14.58], P=0.0227). CONCLUSIONS Unenhanced chest-CT as a preoperative screening tool in cardiac surgery led to incidental detection of significant clinical findings, which justified even procedures cancellation. Malignancy history is a determinant for CT incidental findings and could support a tailored screening approach for high-risk patients.
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Affiliation(s)
- Fabrizio Rosati
- Division of Cardiac Surgery, Spedali Civili di Brescia, University of Brescia, Brescia, Italy -
| | - Massimo Baudo
- Division of Cardiac Surgery, Spedali Civili di Brescia, University of Brescia, Brescia, Italy
| | - Giuseppe D'Ancona
- Department of Cardiovascular Research, Vivantes Klinikum Urban, Berlin, Germany
| | - Cesare Tomasi
- Division of Cardiac Surgery, Spedali Civili di Brescia, University of Brescia, Brescia, Italy
| | - Francesca Zanin
- Division of Cardiac Surgery, Spedali Civili di Brescia, University of Brescia, Brescia, Italy
| | - Besart Cuko
- Division of Cardiac Surgery, Spedali Civili di Brescia, University of Brescia, Brescia, Italy
| | - Lorenzo DI Bacco
- Division of Cardiac Surgery, Spedali Civili di Brescia, University of Brescia, Brescia, Italy
| | - Andrea Borghesi
- Operative Unit of 2nd Diagnostic Radiology, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, Spedali Civili of Brescia, University of Brescia, Brescia, Italy
| | - Marco Zoppetti
- Operative Unit of 2nd Diagnostic Radiology, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, Spedali Civili of Brescia, University of Brescia, Brescia, Italy
| | - Claudio Muneretto
- Division of Cardiac Surgery, Spedali Civili di Brescia, University of Brescia, Brescia, Italy
| | - Stefano Benussi
- Division of Cardiac Surgery, Spedali Civili di Brescia, University of Brescia, Brescia, Italy
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Lee GM, Carroll MB, Galvin JR, Walker CM. Mosaic Attenuation Pattern. Radiol Clin North Am 2022; 60:963-978. [DOI: 10.1016/j.rcl.2022.06.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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32
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Liu F, Dai L, Wang Y, Liu M, Wang M, Zhou Z, Qi Y, Chen R, OuYang S, Fan Q. Derivation and validation of a prediction model for patients with lung nodules malignancy regardless of mediastinal/hilar lymphadenopathy. J Surg Oncol 2022; 126:1551-1559. [PMID: 35993806 DOI: 10.1002/jso.27072] [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: 03/05/2022] [Revised: 06/15/2022] [Accepted: 08/12/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND Clinical prediction models to classify lung nodules often exclude patients with mediastinal/hilar lymphadenopathy, although the presence of mediastinal/hilar lymphadenopathy does not always indicate malignancy. Herein, we developed and validated a multimodal prediction model for lung nodules in which patients with mediastinal/hilar lymphadenopathy were included. METHODS A single-center retrospective study was conducted. We developed and validated a logistic regression model including patients with mediastinal/hilar lymphadenopathy. Discrimination of the model was assessed by area under the operating curve. Goodness of fit test was performed via the Hosmer-Lemeshow test, and a nomogram of the logistic regression model was drawn. RESULTS There were 311 cases included in the final analysis. A logistic regression model was developed and validated. There were nine independent variables included in the model. The aera under the curve (AUC) of the validation set was 0.91 (95% confidence interval [CI]: 0.85-0.98). In the validation set with mediastinal/hilar lymphadenopathy, the AUC was 0.95 (95% CI: 0.90-0.99). The goodness-of-fit test was 0.22. CONCLUSIONS We developed and validated a multimodal risk prediction model for lung nodules with excellent discrimination and calibration, regardless of mediastinal/hilar lymphadenopathy. This broadens the application of lung nodule prediction models. Furthermore, mediastinal/hilar lymphadenopathy added value for predicting lung nodule malignancy in clinical practice.
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Affiliation(s)
- Fenghui Liu
- Department of Respiratory and Sleep Medicine in the First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
| | - Liping Dai
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Yulin Wang
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Man Liu
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Meng Wang
- Department of Imaging and Nuclear Medicine in the First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhigang Zhou
- Department of Imaging and Nuclear Medicine in the First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
| | - Yu Qi
- Department of Thoracic Surgery in the First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
| | - Ruiying Chen
- Department of Respiratory and Sleep Medicine in the First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
| | - Songyun OuYang
- Department of Respiratory and Sleep Medicine in the First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
| | - Qingxia Fan
- Department of Oncology in the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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Prevalence and Clinical Impact of Incidental Findings on Preoperative 3D Planning Computed Tomography for Total Shoulder Arthroplasty. J Am Acad Orthop Surg Glob Res Rev 2022; 6:01979360-202208000-00003. [PMID: 35944103 PMCID: PMC9359811 DOI: 10.5435/jaaosglobal-d-21-00291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 06/16/2022] [Indexed: 11/24/2022]
Abstract
Introduction: 3D planning software for shoulder arthroplasty recently emerged for aiding in intraoperative determination of native glenoid. These protocols often require increased scan resolution, however, raising the question of an increased prevalence and clinical impact of incidental findings (IFs) from preoperative imaging. Methods: A retrospective review of preoperative shoulder CT reports was conducted for 333 consecutive patients planning anatomic or reverse total shoulder arthroplasties. Patients with thin-sliced CT scans (1.25 mm) were compared with those with standard CT scans (2.5 mm). Poisson regression was performed with baseline characteristics and potentially pathologic IFs (PPIFs). Results: IFs were present in 131 of the 333 scans (39.3%), and 38 of the 333 scans (11.4%) included PPIFs. Only 8 of the 333 scans (2.4%) required workup, with 2 of the 333 (0.6%) leading to new cancer diagnoses. Thin-sliced CT scans detected a higher mean number of IFs (1.12 versus 0.22, P < 0.001) while the mean number of PPIFs remained similar (0.13 versus 0.10, P = 0.43). Conclusion: IFs are frequent; however, only 0.6% scans led to new cancer diagnoses. Comparison of thin-sliced with standard CT scans revealed a higher frequency of IFs but similar PPIFs, indicating increased burden of IFs without the benefit of identifying additional malignancies. As demand rises for shoulder arthroplasties, surgeons should consider the potential hidden costs of IFs when using 3D planning programs.
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Kennedy GT, Azari FS, Bernstein E, Nadeem B, Chang A, Segil A, Sullivan N, Encarnado E, Desphande C, Kucharczuk JC, Leonard K, Low PS, Chen S, Criton A, Singhal S. Targeted detection of cancer cells during biopsy allows real-time diagnosis of pulmonary nodules. Eur J Nucl Med Mol Imaging 2022; 49:4194-4204. [PMID: 35788703 PMCID: PMC9525441 DOI: 10.1007/s00259-022-05868-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 06/09/2022] [Indexed: 12/19/2022]
Abstract
Background The diagnostic yield of biopsies of solitary pulmonary nodules (SPNs) is low, particularly in sub-solid lesions. We developed a method (NIR-nCLE) to achieve cellular level cancer detection during biopsy by integrating (i) near-infrared (NIR) imaging using a cancer-targeted tracer (pafolacianine), and (ii) a flexible NIR confocal laser endomicroscopy (CLE) system that can fit within a biopsy needle. Our goal was to assess the diagnostic accuracy of NIR-nCLE ex vivo in SPNs. Methods Twenty patients with SPNs were preoperatively infused with pafolacianine. Following resection, specimens were inspected to identify the lesion of interest. NIR-nCLE imaging followed by tissue biopsy was performed within the lesion and in normal lung tissue. All imaging sequences (n = 115) were scored by 5 blinded raters on the presence of fluorescent cancer cells and compared to diagnoses by a thoracic pathologist. Results Most lesions (n = 15, 71%) were adenocarcinoma-spectrum malignancies, including 7 ground glass opacities (33%). Mean fluorescence intensity (MFI) by NIR-nCLE for tumor biopsy was 20.6 arbitrary units (A.U.) and mean MFI for normal lung was 6.4 A.U. (p < 0.001). Receiver operating characteristic analysis yielded a high area under the curve for MFI (AUC = 0.951). Blinded raters scored the NIR-nCLE sequences on the presence of fluorescent cancer cells with sensitivity and specificity of 98% and 97%, respectively. Overall diagnostic accuracy was 97%. The inter-observer agreement of the five raters was excellent (κ = 0.95). Conclusions NIR-nCLE allows sensitive and specific detection of cancer cells in SPNs. This technology has far-reaching implications for diagnostic needle biopsies and intraprocedural decision-making. Supplementary Information The online version contains supplementary material available at 10.1007/s00259-022-05868-9.
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Affiliation(s)
- Gregory T Kennedy
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, 6 White Building, Philadelphia, PA, 19104, USA
| | - Feredun S Azari
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, 6 White Building, Philadelphia, PA, 19104, USA
| | - Elizabeth Bernstein
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, 6 White Building, Philadelphia, PA, 19104, USA
| | - Bilal Nadeem
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, 6 White Building, Philadelphia, PA, 19104, USA
| | - Ashley Chang
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, 6 White Building, Philadelphia, PA, 19104, USA
| | - Alix Segil
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, 6 White Building, Philadelphia, PA, 19104, USA
| | - Neil Sullivan
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, 6 White Building, Philadelphia, PA, 19104, USA
| | - Emmanuel Encarnado
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, 6 White Building, Philadelphia, PA, 19104, USA
| | - Charuhas Desphande
- Department of Pathology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - John C Kucharczuk
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, 6 White Building, Philadelphia, PA, 19104, USA
| | | | - Philip S Low
- Department of Chemistry, Purdue University, West Lafayette, IN, USA
| | | | | | - Sunil Singhal
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, 6 White Building, Philadelphia, PA, 19104, USA.
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Khatri G, Priya, Saleem MB, Kumar A, Hasan MM. Mediastinal lymphadenopathy: A serious complication in COVID-19 patients. Ann Med Surg (Lond) 2022; 79:104039. [PMID: 35757316 PMCID: PMC9212884 DOI: 10.1016/j.amsu.2022.104039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 06/17/2022] [Indexed: 11/25/2022] Open
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Kaya AT, Akman B. Mediastinal lymph node enlargement in COVID-19: Relationships with mortality and CT findings. Heart Lung 2022; 54:19-26. [PMID: 35306375 PMCID: PMC8907027 DOI: 10.1016/j.hrtlng.2022.03.006] [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: 02/01/2022] [Revised: 03/03/2022] [Accepted: 03/07/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND The presence of mediastinal lymph node enlargement (MLNE) in computed tomography (CT) of Coronavirus disease 2019 (COVID-19) patients can be associated with disease severity. OBJECTIVES To investigate the relationship between MLNE with intensive care unit admission (ICU), mortality rates, and CT findings, especially in early-stage COVID-19 patients. METHODS This single-center retrospective case-control study, included aged ≥18 years, 250 COVID-19 patients with positive RT-PCR tests. We included two patient groups, 125/250 with and without MLNE. Demographic information of the patients, laboratory findings, length of stay in hospital or ICU, mortality rates, initial CT imaging findings and CT severity scores (CT-SS) were recorded and their relationship with MLNE was investigated. RESULTS Patients with MLNE were older (69.61 ± 11.16; p < 0.001) and had a higher CT-SS (14.67 ± 7.55; p < 0.001). There was a significant difference between the presence of MLNE with mortality (58/77, 75.3%; p < 0.001) and ICU admission (49/61, 80.3%; p < 0.001). Also, a statistical association was found between MLNE with ICU admission (p = 0.001) and (p < 0.001) mortality rates in patients with CORADS≤2 CT findings. In multivariate logistic regression analysis, MLNE was 8.8-fold (95% CI: 1.62-47.86, p = 0.01) more correlated with linear opacity and 0.25-fold with bronchial wall thickening (95% CI: 0.07-0.92, p = 0.04). CONCLUSION Mediastinal lymph node enlargement is an important CT finding that can predict the severe prognosis of COVID-19 patients. Even in patients without lung involvement on initial CT, the presence of MLNE should be carefully examined as it is associated with disease severity.
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Affiliation(s)
- Ahmet Turan Kaya
- Department of Radiology, Faculty of Medicine, Amasya University, Sabuncuoğlu Şerefeddin Research and Education Hospital, Amasya, Turkey.
| | - Burcu Akman
- Department of Radiology, Faculty of Medicine, Amasya University, Sabuncuoğlu Şerefeddin Research and Education Hospital, Amasya, Turkey
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Gupta A, Bera K, Kikano E, Pierce JD, Gan J, Rajdev M, Ciancibello LM, Gupta A, Rajagopalan S, Gilkeson RC. Coronary Artery Calcium Scoring: Current Status and Future Directions. Radiographics 2022; 42:947-967. [PMID: 35657766 DOI: 10.1148/rg.210122] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Coronary artery calcium (CAC) scores obtained from CT scans have been shown to be prognostic in assessment of the risk for development of cardiovascular diseases, facilitating the prediction of outcome in asymptomatic individuals. Currently, several methods to calculate the CAC score exist, and each has its own set of advantages and disadvantages. Agatston CAC scoring is the most extensively used method. CAC scoring is currently recommended for use in asymptomatic individuals to predict the risk of developing cardiovascular diseases and the disease-specific mortality. In specific subsets of patients, the CAC score has also been recommended for reclassifying cardiovascular risk and aiding in decision making when planning primary prevention interventions such as statin therapy. The progression of CAC scores on follow-up images has been shown to be linked to risk of myocardial infarction and cardiovascular mortality. While the CAC score is a validated tool used clinically, several challenges, including various pitfalls associated with the acquisition, calculation, and interpretation of the score, prevent more widespread adoption of this metric. Recent research has been focused extensively on strategies to improve existing scoring methods, including measuring calcium attenuation, detecting microcalcifications, and focusing on extracoronary calcifications, and on strategies to improve image acquisition. A better understanding of CAC scoring approaches will help radiologists and other physicians better use and interpret these scores in their workflows. An invited commentary by S. Gupta is available online. Online supplemental material is available for this article. ©RSNA, 2022.
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Affiliation(s)
- Amit Gupta
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
| | - Kaustav Bera
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
| | - Elias Kikano
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
| | - Jonathan D Pierce
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
| | - Jonathan Gan
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
| | - Maharshi Rajdev
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
| | - Leslie M Ciancibello
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
| | - Aekta Gupta
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
| | - Sanjay Rajagopalan
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
| | - Robert C Gilkeson
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
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van den Berk IAH, Kanglie MMNP, van Engelen TSR, Altenburg J, Annema JT, Beenen LFM, Boerrigter B, Bomers MK, Bresser P, Eryigit E, Groenink M, Hochheimer SMR, Holleman F, Kooter JAJ, van Loon RB, Keijzers M, van der Lee I, Luijendijk P, Meijboom LJ, Middeldorp S, Schijf LJ, Soetekouw R, Sprengers RW, Montauban van Swijndregt AD, de Monyé W, Ridderikhof ML, Winter MM, Bipat S, Dijkgraaf MGW, Bossuyt PMM, Prins JM, Stoker J. Ultra-low-dose CT versus chest X-ray for patients suspected of pulmonary disease at the emergency department: a multicentre randomised clinical trial. Thorax 2022; 78:515-522. [PMID: 35688623 PMCID: PMC10176343 DOI: 10.1136/thoraxjnl-2021-218337] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 04/14/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND Chest CT displays chest pathology better than chest X-ray (CXR). We evaluated the effects on health outcomes of replacing CXR by ultra-low-dose chest-CT (ULDCT) in the diagnostic work-up of patients suspected of non-traumatic pulmonary disease at the emergency department. METHODS Pragmatic, multicentre, non-inferiority randomised clinical trial in patients suspected of non-traumatic pulmonary disease at the emergency department. Between 31 January 2017 and 31 May 2018, every month, participating centres were randomly allocated to using ULDCT or CXR. Primary outcome was functional health at 28 days, measured by the Short Form (SF)-12 physical component summary scale score (PCS score), non-inferiority margin was set at 1 point. Secondary outcomes included hospital admission, hospital length of stay (LOS) and patients in follow-up because of incidental findings. RESULTS 2418 consecutive patients (ULDCT: 1208 and CXR: 1210) were included. Mean SF-12 PCS score at 28 days was 37.0 for ULDCT and 35.9 for CXR (difference 1.1; 95% lower CI: 0.003). After ULDCT, 638/1208 (52.7%) patients were admitted (median LOS of 4.8 days; IQR 2.1-8.8) compared with 659/1210 (54.5%) patients after CXR (median LOS 4.6 days; IQR 2.1-8.8). More ULDCT patients were in follow-up because of incidental findings: 26 (2.2%) versus 4 (0.3%). CONCLUSIONS Short-term functional health was comparable between ULDCT and CXR, as were hospital admissions and LOS, but more incidental findings were found in the ULDCT group. Our trial does not support routine use of ULDCT in the work-up of patients suspected of non-traumatic pulmonary disease at the emergency department. TRIAL REGISTRATION NUMBER NTR6163.
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Affiliation(s)
- Inge A H van den Berk
- Department of Radiology, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Maadrika M N P Kanglie
- Department of Radiology, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands.,Department of Radiology, Spaarne Gasthuis, Haarlem, The Netherlands
| | - Tjitske S R van Engelen
- Department of Internal Medicine, division of Infectious Diseases, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Josje Altenburg
- Department of Pulmonary Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Jouke T Annema
- Department of Pulmonary Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Ludo F M Beenen
- Department of Radiology, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Bart Boerrigter
- Department of Pulmonary Medicine, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Marije K Bomers
- Department of Internal Medicine, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Paul Bresser
- Department of Pulmonary Medicine, OLVG, Amsterdam, The Netherlands
| | - Elvin Eryigit
- Department of Radiology and Nuclear Medicine, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Maarten Groenink
- Department of Cardiology, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | | | - Frits Holleman
- Department of Internal Medicine, division of Infectious Diseases, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Jos A J Kooter
- Department of Internal Medicine, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ramon B van Loon
- Department of Cardiology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Mitran Keijzers
- Department of Cardiology, Spaarne Gasthuis, Haarlem, The Netherlands
| | - Ivo van der Lee
- Department of Pulmonary Medicine, Spaarne Gasthuis, Haarlem, The Netherlands
| | - Paul Luijendijk
- Department of Cardiology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Lilian J Meijboom
- Department of Radiology and Nuclear Medicine, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Saskia Middeldorp
- Department of Internal Medicine, division of Vascular Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Laura J Schijf
- Department of Radiology, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Robin Soetekouw
- Department of Internal Medicine, Spaarne Gasthuis, Haarlem, The Netherlands
| | - Ralf W Sprengers
- Department of Radiology and Nuclear Medicine, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - Wouter de Monyé
- Department of Radiology, Spaarne Gasthuis, Haarlem, The Netherlands
| | - Milan L Ridderikhof
- Department of Emergency Medicine, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Michiel M Winter
- Department of Cardiology, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Shandra Bipat
- Department of Radiology, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Marcel G W Dijkgraaf
- Department of Epidemiology & Data Science, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Patrick M M Bossuyt
- Department of Epidemiology & Data Science, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Jan M Prins
- Department of Internal Medicine, division of Infectious Diseases, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Jaap Stoker
- Department of Radiology, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
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Shmukler A, Alis J, Patel S, Latson L, Ko JP. Pitfalls and Pearls of Imaging Non-traumatic Thoracic Aortic Disease. Semin Ultrasound CT MR 2022; 43:204-220. [PMID: 35688532 DOI: 10.1053/j.sult.2022.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Imaging of the thoracic aorta is a common request in both the acute and outpatient settings, playing a crucial role in diagnosis and treatment planning of aortic disease. The findings of aortic pathology may be obvious or occult on imaging. Recognizing subtle changes is essential and may lead to early detection and prevention of serious morbidity and mortality. Knowledge of the anatomy and understanding the pathophysiology of aortic disease, as well as selecting the appropriate imaging modality and protocol will enable prompt diagnosis and early intervention of aortic pathology. Currently, computed tomography angiography and magnetic resonance angiography of the aorta are the most commonly used imaging modalities to evaluate the aorta. This review focuses on a spectrum of aortic pathology manifestations on computed tomography and magnetic resonance, including atherosclerosis and acute aortic syndromes, highlighting diagnostic challenges and approaches to aid in image interpretation.
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Affiliation(s)
- Anna Shmukler
- Department of Radiology, NYU Langone Health, New York, NY.
| | - Jonathan Alis
- Department of Radiology, Jacobi Medical Center, Bronx, NY
| | - Smita Patel
- Department of Radiology, University of Michigan Health System, Ann Arbor, MI
| | - Larry Latson
- Department of Radiology, NewYork-Presbyterian / Weill Cornell Medicine, New York, NY
| | - Jane P Ko
- Department of Radiology, NYU Langone Health, New York, NY
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Tanoue LT, Sather P, Cortopassi I, Dicks D, Curtis A, Michaud G, Bader A, Gange C, Detterbeck F, Killam J. Standardizing the Reporting of Incidental, Non-Lung Cancer (Category S) Findings Identified on Lung Cancer Screening Low-Dose CT Imaging. Chest 2022; 161:1697-1706. [DOI: 10.1016/j.chest.2021.12.662] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 12/01/2021] [Accepted: 12/02/2021] [Indexed: 12/12/2022] Open
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Pinto E, Penha D, Hochhegger B, Monaghan C, Marchiori E, Taborda-Barata L, Irion K. Incidental chest findings on coronary CT angiography: a pictorial essay and management proposal. JORNAL BRASILEIRO DE PNEUMOLOGIA : PUBLICACAO OFICIAL DA SOCIEDADE BRASILEIRA DE PNEUMOLOGIA E TISILOGIA 2022; 48:e20220015. [PMID: 35584528 PMCID: PMC9064655 DOI: 10.36416/1806-3756/e20220015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 03/07/2022] [Indexed: 11/17/2022]
Abstract
Many health systems have been using coronary CT angiography (CCTA) as a first-line examination for ischaemic heart disease patients in various countries. The rising number of CCTA examinations has led to a significant increase in the number of reported incidental extracardiac findings, mainly in the chest. Pulmonary nodules are the most common incidental findings on CCTA scans, as there is a substantial overlap of risk factors between the population seeking to exclude ischaemic heart disease and those at risk of developing lung cancer (i.e., advanced age and smoking habits). However, most incidental findings are clinically insignificant and actively pursuing them could be cost-prohibitive and submit the patient to unnecessary and potentially harmful examinations. Furthermore, there is little consensus regarding when to report or actively exclude these findings and how to manage them, that is, when to trigger an alert or to immediately refer the patient to a pulmonologist, a thoracic surgeon or a multidisciplinary team. This pictorial essay discusses the current literature on this topic and is illustrated with a review of CCTA scans. We also propose a checklist organised by organ and system, recommending actions to raise awareness of pulmonologists, thoracic surgeons, cardiologists and radiologists regarding the most significant and actionable incidental findings on CCTA scans.
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Affiliation(s)
- Erique Pinto
- . Faculdade de Ciências da Saúde, Universidade da Beira Interior, Covilhã, Portugal
| | - Diana Penha
- . Faculdade de Ciências da Saúde, Universidade da Beira Interior, Covilhã, Portugal.,. Imaging Department, Liverpool Heart and Chest Hospital NHS Foundation Trust, Liverpool, United Kingdom
| | - Bruno Hochhegger
- . Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre (RS) Brasil
| | - Colin Monaghan
- . Imaging Department, Liverpool Heart and Chest Hospital NHS Foundation Trust, Liverpool, United Kingdom
| | - Edson Marchiori
- . Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro (RJ) Brasil.,. Faculdade de Medicina, Universidade Federal Fluminense, Niterói (RJ) Brasil
| | - Luís Taborda-Barata
- . Faculdade de Ciências da Saúde, Universidade da Beira Interior, Covilhã, Portugal
| | - Klaus Irion
- . Imaging Department, Liverpool Heart and Chest Hospital NHS Foundation Trust, Liverpool, United Kingdom
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Kennedy GT, Azari FS, Bernstein E, Nadeem B, Chang A, Segil A, Carlin S, Sullivan NT, Encarnado E, Desphande C, Kularatne S, Gagare P, Thomas M, Kucharczuk JC, Christien G, Lacombe F, Leonard K, Low PS, Criton A, Singhal S. Targeted detection of cancer at the cellular level during biopsy by near-infrared confocal laser endomicroscopy. Nat Commun 2022; 13:2711. [PMID: 35581212 PMCID: PMC9114105 DOI: 10.1038/s41467-022-30265-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 04/23/2022] [Indexed: 12/21/2022] Open
Abstract
Suspicious nodules detected by radiography are often investigated by biopsy, but the diagnostic yield of biopsies of small nodules is poor. Here we report a method-NIR-nCLE-to detect cancer at the cellular level in real-time during biopsy. This technology integrates a cancer-targeted near-infrared (NIR) tracer with a needle-based confocal laser endomicroscopy (nCLE) system modified to detect NIR signal. We develop and test NIR-nCLE in preclinical models of pulmonary nodule biopsy including human specimens. We find that the technology has the resolution to identify a single cancer cell among normal fibroblast cells when co-cultured at a ratio of 1:1000, and can detect cancer cells in human tumors less than 2 cm in diameter. The NIR-nCLE technology rapidly delivers images that permit accurate discrimination between tumor and normal tissue by non-experts. This proof-of-concept study analyzes pulmonary nodules as a test case, but the results may be generalizable to other malignancies.
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Affiliation(s)
- Gregory T Kennedy
- Department of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Feredun S Azari
- Department of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Elizabeth Bernstein
- Department of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Bilal Nadeem
- Department of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Ashley Chang
- Department of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Alix Segil
- Department of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Sean Carlin
- Department of Radiology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Neil T Sullivan
- Department of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Emmanuel Encarnado
- Department of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Charuhas Desphande
- Department of Pathology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | | | | | - Mini Thomas
- On Target Laboratories, West Lafayette, IN, USA
| | - John C Kucharczuk
- Department of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | | | | | | | - Philip S Low
- Department of Chemistry, Purdue University, West Lafayette, IN, USA
| | | | - Sunil Singhal
- Department of Surgery, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
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43
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Wilder-Smith AJ, Yang S, Weikert T, Bremerich J, Haaf P, Segeroth M, Ebert LC, Sauter A, Sexauer R. Automated Detection, Segmentation, and Classification of Pericardial Effusions on Chest CT Using a Deep Convolutional Neural Network. Diagnostics (Basel) 2022; 12:diagnostics12051045. [PMID: 35626201 PMCID: PMC9139725 DOI: 10.3390/diagnostics12051045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 04/09/2022] [Accepted: 04/19/2022] [Indexed: 01/15/2023] Open
Abstract
Pericardial effusions (PEFs) are often missed on Computed Tomography (CT), which particularly affects the outcome of patients presenting with hemodynamic compromise. An automatic PEF detection, segmentation, and classification tool would expedite and improve CT based PEF diagnosis; 258 CTs with (206 with simple PEF, 52 with hemopericardium) and without PEF (each 134 with contrast, 124 non-enhanced) were identified using the radiology report (01/2016−01/2021). PEF were manually 3D-segmented. A deep convolutional neural network (nnU-Net) was trained on 316 cases and separately tested on the remaining 200 and 22 external post-mortem CTs. Inter-reader variability was tested on 40 CTs. PEF classification utilized the median Hounsfield unit from each prediction. The sensitivity and specificity for PEF detection was 97% (95% CI 91.48−99.38%) and 100.00% (95% CI 96.38−100.00%) and 89.74% and 83.61% for diagnosing hemopericardium (AUC 0.944, 95% CI 0.904−0.984). Model performance (Dice coefficient: 0.75 ± 0.01) was non-inferior to inter-reader (0.69 ± 0.02) and was unaffected by contrast administration nor alternative chest pathology (p > 0.05). External dataset testing yielded similar results. Our model reliably detects, segments, and classifies PEF on CT in a complex dataset, potentially serving as an alert tool whilst enhancing report quality. The model and corresponding datasets are publicly available.
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Affiliation(s)
- Adrian Jonathan Wilder-Smith
- Division of Research and Analytical Services, University Hospital Basel, 4031 Basel, Switzerland; (A.J.W.-S.); (S.Y.); (T.W.); (M.S.); (A.S.)
- Department of Radiology, University Hospital Basel, University of Basel, 4031 Basel, Switzerland;
| | - Shan Yang
- Division of Research and Analytical Services, University Hospital Basel, 4031 Basel, Switzerland; (A.J.W.-S.); (S.Y.); (T.W.); (M.S.); (A.S.)
| | - Thomas Weikert
- Division of Research and Analytical Services, University Hospital Basel, 4031 Basel, Switzerland; (A.J.W.-S.); (S.Y.); (T.W.); (M.S.); (A.S.)
- Department of Radiology, University Hospital Basel, University of Basel, 4031 Basel, Switzerland;
| | - Jens Bremerich
- Department of Radiology, University Hospital Basel, University of Basel, 4031 Basel, Switzerland;
| | - Philip Haaf
- Department of Cardiology, University Hospital Basel, University of Basel, 4031 Basel, Switzerland;
| | - Martin Segeroth
- Division of Research and Analytical Services, University Hospital Basel, 4031 Basel, Switzerland; (A.J.W.-S.); (S.Y.); (T.W.); (M.S.); (A.S.)
| | - Lars C. Ebert
- 3D Center Zurich, Institute of Forensic Medicine, University of Zürich, 8057 Zürich, Switzerland;
| | - Alexander Sauter
- Division of Research and Analytical Services, University Hospital Basel, 4031 Basel, Switzerland; (A.J.W.-S.); (S.Y.); (T.W.); (M.S.); (A.S.)
- Department of Radiology, University Hospital Basel, University of Basel, 4031 Basel, Switzerland;
| | - Raphael Sexauer
- Division of Research and Analytical Services, University Hospital Basel, 4031 Basel, Switzerland; (A.J.W.-S.); (S.Y.); (T.W.); (M.S.); (A.S.)
- Department of Radiology, University Hospital Basel, University of Basel, 4031 Basel, Switzerland;
- Correspondence: ; Tel.: +41-613-286-584
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44
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Management of Incidentally Detected Small Anterior Mediastinal Nodules: Which Way to Go? Lung Cancer 2022; 168:30-35. [DOI: 10.1016/j.lungcan.2022.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/05/2022] [Accepted: 04/11/2022] [Indexed: 11/22/2022]
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45
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Bedrikovetski S, Seow W, Kroon HM, Traeger L, Moore JW, Sammour T. Artificial intelligence for body composition and sarcopenia evaluation on computed tomography: A systematic review and meta-analysis. Eur J Radiol 2022; 149:110218. [DOI: 10.1016/j.ejrad.2022.110218] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 12/30/2021] [Accepted: 02/10/2022] [Indexed: 12/13/2022]
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Silva M, Picozzi G, Sverzellati N, Anglesio S, Bartolucci M, Cavigli E, Deliperi A, Falchini M, Falaschi F, Ghio D, Gollini P, Larici AR, Marchianò AV, Palmucci S, Preda L, Romei C, Tessa C, Rampinelli C, Mascalchi M. Low-dose CT for lung cancer screening: position paper from the Italian college of thoracic radiology. Radiol Med 2022; 127:543-559. [PMID: 35306638 PMCID: PMC8934407 DOI: 10.1007/s11547-022-01471-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Accepted: 02/18/2022] [Indexed: 12/24/2022]
Abstract
Smoking is the main risk factor for lung cancer (LC), which is the leading cause of cancer-related death worldwide. Independent randomized controlled trials, governmental and inter-governmental task forces, and meta-analyses established that LC screening (LCS) with chest low dose computed tomography (LDCT) decreases the mortality of LC in smokers and former smokers, compared to no-screening, especially in women. Accordingly, several Italian initiatives are offering LCS by LDCT and smoking cessation to about 10,000 high-risk subjects, supported by Private or Public Health Institutions, envisaging a possible population-based screening program. Because LDCT is the backbone of LCS, Italian radiologists with LCS expertise are presenting this position paper that encompasses recommendations for LDCT scan protocol and its reading. Moreover, fundamentals for classification of lung nodules and other findings at LDCT test are detailed along with international guidelines, from the European Society of Thoracic Imaging, the British Thoracic Society, and the American College of Radiology, for their reporting and management in LCS. The Italian College of Thoracic Radiologists produced this document to provide the basics for radiologists who plan to set up or to be involved in LCS, thus fostering homogenous evidence-based approach to the LDCT test over the Italian territory and warrant comparison and analyses throughout National and International practices.
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Affiliation(s)
- Mario Silva
- Department of Medicine and Surgery (DiMeC), University of Parma, Via Gramsci 14, Parma, Italy.
- Unit of "Scienze Radiologiche", University Hospital of Parma, Pad. Barbieri, Via Gramsci 14, 43126, Parma, Italy.
| | - Giulia Picozzi
- Istituto Di Studio Prevenzione E Rete Oncologica, Firenze, Italy
| | - Nicola Sverzellati
- Department of Medicine and Surgery (DiMeC), University of Parma, Via Gramsci 14, Parma, Italy
- Unit of "Scienze Radiologiche", University Hospital of Parma, Pad. Barbieri, Via Gramsci 14, 43126, Parma, Italy
| | | | | | | | | | | | | | - Domenico Ghio
- IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Anna Rita Larici
- Dipartimento Di Diagnostica Per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Università Cattolica del Sacro Cuore Di Roma, Roma, Italy
| | - Alfonso V Marchianò
- Department of Radiology, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, MI, Italy
| | - Stefano Palmucci
- UOC Radiologia 1, Dipartimento Scienze Mediche Chirurgiche E Tecnologie Avanzate "GF Ingrassia", Università Di Catania, AOU Policlinico "G. Rodolico-San Marco", Catania, Italy
| | - Lorenzo Preda
- IRCCS Fondazione Policlinico San Matteo, Pavia, Italy
- Dipartimento Di Scienze Clinico-Chirurgiche, Diagnostiche E Pediatriche, Università Degli Studi Di Pavia, Pavia, Italy
| | | | - Carlo Tessa
- Radiologia Apuane E Lunigiana, Azienda USL Toscana Nord Ovest, Pisa, Italy
| | | | - Mario Mascalchi
- Istituto Di Studio Prevenzione E Rete Oncologica, Firenze, Italy
- Università Di Firenze, Firenze, Italy
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47
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Penha D, Pinto E, Monaghan C, Hochhegger B, Marchiori E, Taborda-Barata L, Irion K, Ravara S, Kauczor HU. Incidental findings on lung cancer screening: pictorial essay and systematic checklist. J Bras Pneumol 2022; 48:e20210371. [PMID: 35137873 PMCID: PMC8836644 DOI: 10.36416/1806-3756/e20210371] [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: 09/10/2021] [Accepted: 11/05/2021] [Indexed: 11/23/2022] Open
Abstract
Lung cancer screening (LCS) programs are increasing worldwide. Incidental findings (IFs) on LCS are defined as low-dose CT findings unrelated to the primary purpose of identifying lung cancer. Most IFs on LCS are benign and clinically insignificant but are being increasingly recognized, and some require urgent referral for further diagnostic workup. Other findings are expected and are known as smoking-related comorbidities, including COPD, cardiovascular disease, emphysema, and interstitial lung disease, and their diagnosis can have a significant impact on patient prognosis. The purpose of this pictorial essay is to illustrate the most common IFs on LCS, organized by organ. We will discuss the current literature on IFs on LCS, focusing on their prevalence, appropriate communication, and triggering of clinical pathway systems.
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Affiliation(s)
- Diana Penha
- . Faculdade de Ciências da Saúde, Universidade da Beira Interior, Covilhã, Portugal.,. Liverpool Heart and Chest Hospital NHS Foundation Trust, Liverpool, United Kingdom
| | - Erique Pinto
- . Faculdade de Ciências da Saúde, Universidade da Beira Interior, Covilhã, Portugal
| | - Colin Monaghan
- . Liverpool Heart and Chest Hospital NHS Foundation Trust, Liverpool, United Kingdom
| | - Bruno Hochhegger
- . Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre (RS) Brasil.,. University of Florida. Department of Radiology. Gainesville (FL) USA
| | - Edson Marchiori
- . Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro (RJ) Brasil.,. Faculdade de Medicina, Universidade Federal Fluminense, Niterói (RJ) Brasil
| | - Luís Taborda-Barata
- . Faculdade de Ciências da Saúde, Universidade da Beira Interior, Covilhã, Portugal.,. Centro de Investigação em Ciências da Saúde, Universidade da Beira Interior - CICS-UBI - Covilhã, Portugal
| | - Klaus Irion
- . Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Sofia Ravara
- . Centro de Investigação em Ciências da Saúde, Universidade da Beira Interior - CICS-UBI - Covilhã, Portugal.,. Centro de Investigação em Saúde Pública, Escola Nacional de Saúde Pública, Universidade NOVA de Lisboa, Lisboa, Portugal.,. Setor de Pneumologia, Centro Hospitalar Universitário Cova da Beira, Covilhã, Portugal
| | - Hans-Ulrich Kauczor
- . Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.,. Translational Lung Research Center, Heidelberg, Germany
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48
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Yacoub B, Kabakus IM, Schoepf UJ, Giovagnoli VM, Fischer AM, Wichmann JL, Martinez JD, Sharma P, Rapaka S, Sahbaee P, Hoelzer P, Burt JR, Varga-Szemes A, Emrich T. Performance of an Artificial Intelligence-Based Platform Against Clinical Radiology Reports for the Evaluation of Noncontrast Chest CT. Acad Radiol 2022; 29 Suppl 2:S108-S117. [PMID: 33714665 DOI: 10.1016/j.acra.2021.02.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 02/01/2021] [Accepted: 02/11/2021] [Indexed: 12/20/2022]
Abstract
RATIONALE AND OBJECTIVES Research on implementation of artificial intelligence (AI) in radiology workflows and its impact on reports remains scarce. In this study, we aim to assess if an AI platform would perform better than clinical radiology reports in evaluating noncontrast chest computed tomography (CT) scans. MATERIALS AND METHODS Consecutive patients who had undergone noncontrast chest CT were retrospectively identified. The radiology reports were reviewed in a binary fashion for reporting of pulmonary lesions, pulmonary emphysema, aortic dilatation, coronary artery calcifications (CAC), and vertebral compression fractures (VCF). CT scans were then processed using an AI platform. The reports' findings and the AI results were subsequently compared to a consensus read by two board-certificated radiologists as reference. RESULTS A total of 100 patients (mean age: 64.2 ± 14.8 years; 57% males) were included in this study. Aortic segmentation and calcium quantification failed to be processed by AI in 2 and 3 cases, respectively. AI showed superior diagnostic performance in identifying aortic dilatation (AI: sensitivity: 96.3%, specificity: 81.4%, AUC: 0.89) vs (Reports: sensitivity: 25.9%, specificity: 100%, AUC: 0.63), p <0.001; and CAC (AI: sensitivity: 89.8%, specificity: 100, AUC: 0.95) vs (Reports: sensitivity: 75.4%, specificity: 94.9%, AUC: 0.85), p = 0.005. Reports had better performance than AI in identifying pulmonary lesions (Reports: sensitivity: 97.6%, specificity: 100%, AUC: 0.99) vs (AI: sensitivity: 92.8%, specificity: 82.4%, AUC: 0.88), p = 0.024; and VCF (Reports: sensitivity:100%, specificity: 100%, AUC: 1.0) vs (AI: sensitivity: 100%, specificity: 63.7%, AUC: 0.82), p <0.001. A comparable diagnostic performance was noted in identifying pulmonary emphysema on AI (sensitivity: 80.6%, specificity: 66.7%. AUC: 0.74) and reports (sensitivity: 74.2%, specificity: 97.1%, AUC: 0.86), p = 0.064. CONCLUSION Our results demonstrate that incorporating AI support platforms into radiology workflows can provide significant added value to clinical radiology reporting.
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Affiliation(s)
- Basel Yacoub
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina
| | - Ismail M Kabakus
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina
| | - U Joseph Schoepf
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina.
| | - Vincent M Giovagnoli
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina
| | - Andreas M Fischer
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina; University Hospital Basel, University of Basel, Department of Radiology, Basel, Switzerland
| | - Julian L Wichmann
- University Hospital Frankfurt, Department of Diagnostic and Interventional Radiology, Frankfurt am Main, Germany; Siemens Healthineers, Erlangen, Germany
| | - John D Martinez
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina
| | | | | | | | | | - Jeremy R Burt
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina
| | - Akos Varga-Szemes
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina
| | - Tilman Emrich
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina; University Medical Center Mainz, Department of Diagnostic and Interventional Radiology, Mainz, Germany; German Center for Cardiovascular Research (DZHK), Partner-Site Rhine-Main, Mainz, Germany
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49
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Dickson JL, Horst C, Nair A, Tisi S, Prendecki R, Janes SM. Hesitancy around low-dose CT screening for lung cancer. Ann Oncol 2022; 33:34-41. [PMID: 34555501 DOI: 10.1016/j.annonc.2021.09.008] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 09/07/2021] [Accepted: 09/12/2021] [Indexed: 12/17/2022] Open
Abstract
Lung cancer is the leading cause of cancer death worldwide. The absence of symptoms in early-stage (I/II) disease, when curative treatment is possible, results in >70% of cases being diagnosed at late stage (III/IV), when treatment is rarely curative. This contributes greatly to the poor prognosis of lung cancer, which sees only 16.2% of individuals diagnosed with the disease alive at 5 years. Early detection is key to improving lung cancer survival outcomes. As a result, there has been longstanding interest in finding a reliable screening test. After little success with chest radiography and sputum cytology, in 2011 the United States National Lung Screening Trial demonstrated that annual low-dose computed tomography (LDCT) screening reduced lung cancer-specific mortality by 20%, when compared with annual chest radiography. In 2020, the NELSON study demonstrated an even greater reduction in lung cancer-specific mortality for LDCT screening at 0, 1, 3 and 5.5 years of 24% in men, when compared to no screening. Despite these impressive results, a call to arms in the 2017 European position statement on lung cancer screening (LCS) and the widespread introduction across the United States, there was, until recently, no population-based European national screening programme in place. We address the potential barriers and outstanding concerns including common screening foes, such as false-positive tests, overdiagnosis and the negative psychological impact of screening, as well as others more unique to LDCT LCS, including appropriate risk stratification of potential participants, radiation exposure and incidental findings. In doing this, we conclude that whilst the evidence generated from ongoing work can be used to refine the screening process, for those risks which remain, appropriate and acceptable mitigations are available, and none should serve as barriers to the implementation of national unified LCS programmes across Europe and beyond.
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Affiliation(s)
- J L Dickson
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - C Horst
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - A Nair
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK; Department of Radiology, University College London Hospital, London, UK
| | - S Tisi
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - R Prendecki
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - S M Janes
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK; Department of Thoracic Medicine, University College London Hospital, London, UK.
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50
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Pourvaziri A, Narayan AK, Tso D, Baliyan V, Glover M, Bizzo BC, Kako B, Succi MD, Lev MH, Flores EJ. Imaging Information Overload: Quantifying the burden of interpretive and non-interpretive tasks for CT angiography for aortic pathologies in emergency radiology. Curr Probl Diagn Radiol 2022; 51:546-551. [DOI: 10.1067/j.cpradiol.2022.01.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 12/18/2021] [Accepted: 01/05/2022] [Indexed: 12/20/2022]
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