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Sverzellati N, Milanese G, Ryerson CJ, Hatabu H, Walsh SLF, Papapietro VR, Gazzani SE, Bacchini E, Specchia F, Marrocchio C, Milone F, Ledda RE, Silva M, Iezzi E. Interstitial Lung Abnormalities on Unselected Abdominal and Thoracoabdominal CT Scans in 21 118 Patients. Radiology 2024; 313:e233374. [PMID: 39560484 DOI: 10.1148/radiol.233374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2024]
Abstract
Background Interstitial lung abnormalities (ILAs) are incidental CT findings suggesting early interstitial lung disease. However ILA prevalence data are scarce in an unselected routine clinical setting. Purpose To evaluate the prevalence, underreporting rate, and potential clinical impact of ILAs recognizable on either abdominal CT scans or thoracoabdominal CT scans in a routine clinical setting of unselected patients. Materials and Methods Consecutive abdominal or thoracoabdominal CT scans from unselected inpatients and outpatients (age, ≥50 years; without any available prior chest CT and no clinical history of disease against the diagnosis of ILA) from a single-center tertiary hospital between January 2008 and December 2015 were retrospectively reviewed for the presence of ILAs and compared with the original clinical reports from the CT scans. Radiologic progression of ILA was evaluated by comparing consecutive CT points. Multivariable models adjusted for age, sex, race/ethnicity, oncologic disease, and cardiovascular disease were used to assess factors associated with odds of ILAs progression and all-cause and cause-specific mortality. Results Among 21 118 patients (median age, 72 years [IQR, 64-80 years]; 11 028 [52.2%] female patients), ILAs were observed in 362 (1.7%) patients, notably in 222 (1.0%) patients who had fibrotic features at CT. ILAs were recognized in 122 of 9415 (1.3%) and 240 of 11 703 (2.1%) of abdominal and thoracoabdominal CT scans, respectively. Of available original reports for 360 patients, 158 (43.9%) of all ILAs were not originally reported. Traction bronchiectasis index was the CT factor associated with higher odds of ILA progression (odds ratio, 3.47; 95% CI: 1.83, 6.58; P < .001). Fibrotic ILAs had a fourfold higher risk of respiratory-cause mortality (hazard ratio, 4.01; 95% CI: 2.02, 7.92; P < .001) compared with patients without ILAs. Conclusion The prevalence of ILAs was 1.7% in a large, unselected sample of patients who underwent either abdominal or thoracoabdominal CT for various clinical indications. Despite their prognostic significance, 43.9% of ILAs were unreported. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Hata in this issue.
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Affiliation(s)
- Nicola Sverzellati
- From the Scienze Radiologiche, Department of Medicine and Surgery, University of Parma, Parma, Italy (N.S., G.M., V.R.P., S.E.G., E.B., F.S., C.M., F.M., R.E.L., M.S.); Department of Medicine, University of British Columbia and Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, Canada (C.J.R.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (H.H.); National Heart and Lung Institute, Imperial College London, London, England (S.L.F.W.); and University Hospital of Parma, Parma, Italy (E.I.)
| | - Gianluca Milanese
- From the Scienze Radiologiche, Department of Medicine and Surgery, University of Parma, Parma, Italy (N.S., G.M., V.R.P., S.E.G., E.B., F.S., C.M., F.M., R.E.L., M.S.); Department of Medicine, University of British Columbia and Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, Canada (C.J.R.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (H.H.); National Heart and Lung Institute, Imperial College London, London, England (S.L.F.W.); and University Hospital of Parma, Parma, Italy (E.I.)
| | - Christopher J Ryerson
- From the Scienze Radiologiche, Department of Medicine and Surgery, University of Parma, Parma, Italy (N.S., G.M., V.R.P., S.E.G., E.B., F.S., C.M., F.M., R.E.L., M.S.); Department of Medicine, University of British Columbia and Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, Canada (C.J.R.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (H.H.); National Heart and Lung Institute, Imperial College London, London, England (S.L.F.W.); and University Hospital of Parma, Parma, Italy (E.I.)
| | - Hiroto Hatabu
- From the Scienze Radiologiche, Department of Medicine and Surgery, University of Parma, Parma, Italy (N.S., G.M., V.R.P., S.E.G., E.B., F.S., C.M., F.M., R.E.L., M.S.); Department of Medicine, University of British Columbia and Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, Canada (C.J.R.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (H.H.); National Heart and Lung Institute, Imperial College London, London, England (S.L.F.W.); and University Hospital of Parma, Parma, Italy (E.I.)
| | - Simon L F Walsh
- From the Scienze Radiologiche, Department of Medicine and Surgery, University of Parma, Parma, Italy (N.S., G.M., V.R.P., S.E.G., E.B., F.S., C.M., F.M., R.E.L., M.S.); Department of Medicine, University of British Columbia and Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, Canada (C.J.R.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (H.H.); National Heart and Lung Institute, Imperial College London, London, England (S.L.F.W.); and University Hospital of Parma, Parma, Italy (E.I.)
| | - Vito Roberto Papapietro
- From the Scienze Radiologiche, Department of Medicine and Surgery, University of Parma, Parma, Italy (N.S., G.M., V.R.P., S.E.G., E.B., F.S., C.M., F.M., R.E.L., M.S.); Department of Medicine, University of British Columbia and Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, Canada (C.J.R.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (H.H.); National Heart and Lung Institute, Imperial College London, London, England (S.L.F.W.); and University Hospital of Parma, Parma, Italy (E.I.)
| | - Silvia Eleonora Gazzani
- From the Scienze Radiologiche, Department of Medicine and Surgery, University of Parma, Parma, Italy (N.S., G.M., V.R.P., S.E.G., E.B., F.S., C.M., F.M., R.E.L., M.S.); Department of Medicine, University of British Columbia and Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, Canada (C.J.R.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (H.H.); National Heart and Lung Institute, Imperial College London, London, England (S.L.F.W.); and University Hospital of Parma, Parma, Italy (E.I.)
| | - Emanuele Bacchini
- From the Scienze Radiologiche, Department of Medicine and Surgery, University of Parma, Parma, Italy (N.S., G.M., V.R.P., S.E.G., E.B., F.S., C.M., F.M., R.E.L., M.S.); Department of Medicine, University of British Columbia and Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, Canada (C.J.R.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (H.H.); National Heart and Lung Institute, Imperial College London, London, England (S.L.F.W.); and University Hospital of Parma, Parma, Italy (E.I.)
| | - Francesco Specchia
- From the Scienze Radiologiche, Department of Medicine and Surgery, University of Parma, Parma, Italy (N.S., G.M., V.R.P., S.E.G., E.B., F.S., C.M., F.M., R.E.L., M.S.); Department of Medicine, University of British Columbia and Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, Canada (C.J.R.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (H.H.); National Heart and Lung Institute, Imperial College London, London, England (S.L.F.W.); and University Hospital of Parma, Parma, Italy (E.I.)
| | - Cristina Marrocchio
- From the Scienze Radiologiche, Department of Medicine and Surgery, University of Parma, Parma, Italy (N.S., G.M., V.R.P., S.E.G., E.B., F.S., C.M., F.M., R.E.L., M.S.); Department of Medicine, University of British Columbia and Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, Canada (C.J.R.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (H.H.); National Heart and Lung Institute, Imperial College London, London, England (S.L.F.W.); and University Hospital of Parma, Parma, Italy (E.I.)
| | - Francesca Milone
- From the Scienze Radiologiche, Department of Medicine and Surgery, University of Parma, Parma, Italy (N.S., G.M., V.R.P., S.E.G., E.B., F.S., C.M., F.M., R.E.L., M.S.); Department of Medicine, University of British Columbia and Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, Canada (C.J.R.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (H.H.); National Heart and Lung Institute, Imperial College London, London, England (S.L.F.W.); and University Hospital of Parma, Parma, Italy (E.I.)
| | - Roberta Eufrasia Ledda
- From the Scienze Radiologiche, Department of Medicine and Surgery, University of Parma, Parma, Italy (N.S., G.M., V.R.P., S.E.G., E.B., F.S., C.M., F.M., R.E.L., M.S.); Department of Medicine, University of British Columbia and Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, Canada (C.J.R.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (H.H.); National Heart and Lung Institute, Imperial College London, London, England (S.L.F.W.); and University Hospital of Parma, Parma, Italy (E.I.)
| | - Mario Silva
- From the Scienze Radiologiche, Department of Medicine and Surgery, University of Parma, Parma, Italy (N.S., G.M., V.R.P., S.E.G., E.B., F.S., C.M., F.M., R.E.L., M.S.); Department of Medicine, University of British Columbia and Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, Canada (C.J.R.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (H.H.); National Heart and Lung Institute, Imperial College London, London, England (S.L.F.W.); and University Hospital of Parma, Parma, Italy (E.I.)
| | - Elisa Iezzi
- From the Scienze Radiologiche, Department of Medicine and Surgery, University of Parma, Parma, Italy (N.S., G.M., V.R.P., S.E.G., E.B., F.S., C.M., F.M., R.E.L., M.S.); Department of Medicine, University of British Columbia and Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, Canada (C.J.R.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (H.H.); National Heart and Lung Institute, Imperial College London, London, England (S.L.F.W.); and University Hospital of Parma, Parma, Italy (E.I.)
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Dilimulati M, Yuan S, Jiang H, Wang Y, Ma H, Shen S, Lin J, Chen J, Yin Y. Imaging features and clinical evaluation of pulmonary nodules in children. Front Oncol 2024; 14:1385600. [PMID: 39175479 PMCID: PMC11338818 DOI: 10.3389/fonc.2024.1385600] [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: 02/13/2024] [Accepted: 07/19/2024] [Indexed: 08/24/2024] Open
Abstract
Background With the widespread use of computed tomography (CT), the detection rate of pulmonary nodules in children has gradually increased. Due to the lack of epidemiological evidence and clinical guideline on pulmonary nodule treatment in children, we aimed to provide a reference for the clinical diagnosis and management of pediatirc pulmonary nodules. Methods This retrospective study collected consecutive cases from April 2012 to July 2021 in the Shanghai Children's Medical Center. The sample included children with pulmonary nodules on chest CT scans and met the inclusion criteria. All patients were categorized into tumor and non-tumor groups by pre-CT clinical diagnosis. Nodule characteristics between groups were analyzed. To establish a clinical assessment model for the benign versus malignant pulmonary nodules, patients who have been followed-up for three months were detected and a decision tree model for nodule malignancy prediction was constructed and validated. Results The sample comprised 1341 patients with an average age of 7.2 ± 4.6 years. More than half of them (51.7%) were diagnosed with malignancies before CT scan. 48.3% were diagnosed with non-tumor diseases or healthy. Compared to non-tumor group, children with tumor were more likely to have multiple nodules in both lungs, with larger size and often be accompanied by osteolytic or mass lesions. Based on the decision tree model, patients' history of malignancies, nodules diameter size≥5mm, and specific nodule distribution (multiple in both lungs, multiple in the right lung or solitary in the upper or middle right lobe) were important potential predictors for malignity. In the validation set, sensitivity, specificity and AUC were 0.855, 0.833 and 0.828 (95%CI: 0.712-0.909), respectively. Conclusion This study conducted a clinical assessment model to differentiate benignity and malignancy of pediatric pulmonary nodules. We suggested that a nodule's diameter, distribution and patient's history of malignancies are predictable factors in benign or malignant determination.
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Affiliation(s)
- Muheremu Dilimulati
- Department of Respiratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Shuhua Yuan
- Department of Respiratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Hejun Jiang
- Department of Respiratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yahua Wang
- Department of Respiratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Hui Ma
- Department of Respiratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Shiyu Shen
- Department of Respiratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jilei Lin
- Department of Respiratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Child Health Advocacy Institute, China Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Jiande Chen
- Department of Respiratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yong Yin
- Department of Respiratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Child Health Advocacy Institute, China Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, China
- Department of Respiratory Medicine, Sanya Women and Children’s Hospital Affiliated to Hainan Medical College, Hainan Branch of Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Sanya, Hainan, China
- Department of Respiratory Medicine, Linyi Maternal and Child Healthcare Hospital, Linyi Branch of Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Linyi, Shandong, China
- Shanghai Children’s Medical Center Pediatric Medical Complex (Pudong), Shanghai, China
- Pediatric AI Clinical Application and Research Center, Shanghai Children’s Medical Center, Shanghai, China
- Shanghai Engineering Research Center of Intelligence Pediatrics (SERCIP), Shanghai, China
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Smith TB, Rubin GD, Solomon J, Harrawood B, Choudhury KR, Samei E. Local complexity metrics to quantify the effect of anatomical noise on detectability of lung nodules in chest CT imaging. J Med Imaging (Bellingham) 2018; 5:045502. [PMID: 30840750 PMCID: PMC6250496 DOI: 10.1117/1.jmi.5.4.045502] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Accepted: 10/23/2018] [Indexed: 12/21/2022] Open
Abstract
The purpose of this study is to (1) develop metrics to characterize the regional anatomical complexity of the lungs, and (2) relate these metrics with lung nodule detection in chest CT. A free-scrolling reader-study with virtually inserted nodules (13 radiologists × 157 total nodules = 2041 responses) is used to characterize human detection performance. Metrics of complexity based on the local density and orientation of distracting vasculature are developed for two-dimensional (2-D) and three-dimensional (3-D) considerations of the image volume. Assessed characteristics included the distribution of 2-D/3-D vessel structures of differing orientation (dubbed "2-D/3-D and dot-like/line-like distractor indices"), contiguity of inserted nodules with local vasculature, mean local gray-level surrounding each nodule, the proportion of lung voxels to total voxels in each section, and 3-D distance of each nodule from the trachea bifurcation. A generalized linear mixed-effects statistical model is used to determine the influence of each these metrics on nodule detectability. In order of decreasing effect size: 3-D line-like distractor index, 2-D line-like distractor index, 2-D dot-like distractor index, local mean gray-level, contiguity with 2-D dots, lung area, and contiguity with 3-D lines all significantly affect detectability ( P < 0.05 ). These data demonstrate that local lung complexity degrades detection of lung nodules.
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Affiliation(s)
- Taylor Brunton Smith
- Duke University, Carl E. Ravin Advanced Imaging Labs, Durham, North Carolina, United States
- Duke University, Department of Radiology, Durham, North Carolina, United States
- Duke University, Medical Physics Graduate Program, Durham, North Carolina, United States
| | - Geoffrey D. Rubin
- Duke University, Department of Radiology, Durham, North Carolina, United States
| | - Justin Solomon
- Duke University, Carl E. Ravin Advanced Imaging Labs, Durham, North Carolina, United States
- Duke University, Department of Radiology, Durham, North Carolina, United States
- Duke University, Medical Physics Graduate Program, Durham, North Carolina, United States
| | - Brian Harrawood
- Duke University, Carl E. Ravin Advanced Imaging Labs, Durham, North Carolina, United States
- Duke University, Department of Radiology, Durham, North Carolina, United States
| | - Kingshuk Roy Choudhury
- Duke University, Carl E. Ravin Advanced Imaging Labs, Durham, North Carolina, United States
- Duke University, Department of Radiology, Durham, North Carolina, United States
| | - Ehsan Samei
- Duke University, Carl E. Ravin Advanced Imaging Labs, Durham, North Carolina, United States
- Duke University, Department of Radiology, Durham, North Carolina, United States
- Duke University, Medical Physics Graduate Program, Durham, North Carolina, United States
- Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States
- Duke University, Department of Electrical and Computer Engineering, Durham, North Carolina, United States
- Duke University, Department of Physics, Durham, North Carolina, United States
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