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Beasley MB. Interstitial Lung Abnormalities. Surg Pathol Clin 2024; 17:215-225. [PMID: 38692806 DOI: 10.1016/j.path.2023.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2024]
Abstract
Interstitial lung abnormalities (ILA) is a radiographic term, which has recently undergone clarification of definition with creation of 3 subtypes. ILA is defined as incidental identification of computed tomography abnormalities in a patient who is not suspected of having an interstitial lung disease (ILD). A subset of ILA may progress to clinically significant ILD and is associated with morbidities not related to progression such as an increased incidence of sepsis-related acute respiratory distress syndrome (ARDS). ILA has been associated with an increased incidence of treatment-related complications in patients with lung cancer. Information on corresponding histology is limited; knowledge gaps exist concerning optimal patient management.
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Affiliation(s)
- Mary Beth Beasley
- Department of Pathology, Icahn School of Medicine at Mount Sinai, One Gustave Levy Place, Annenberg 15-76, New York, NY 10029, USA.
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2
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Wada N, Hunninghake GM, Hatabu H. Interstitial Lung Abnormalities: Current Understanding. Clin Chest Med 2024; 45:433-444. [PMID: 38816098 DOI: 10.1016/j.ccm.2024.02.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2024]
Abstract
Interstitial lung abnormalities (ILAs) are incidental findings on computed tomography scans, characterized by nondependent abnormalities affecting more than 5% of any lung zone. They are associated with factors such as age, smoking, genetic variants, worsened clinical outcomes, and increased mortality. Risk stratification based on clinical and radiological features of ILAs is crucial in clinical practice, particularly for identifying cases at high risk of progression to pulmonary fibrosis. Traction bronchiectasis/bronchiolectasis index has emerged as a promising imaging biomarker for prognostic risk stratification in ILAs. These findings suggest a spectrum of fibrosing interstitial lung diseases, encompassing from ILAs to pulmonary fibrosis.
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Affiliation(s)
- Noriaki Wada
- Department of Radiology, Center for Pulmonary Functional Imaging, Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA
| | - Gary M Hunninghake
- Department of Radiology, Center for Pulmonary Functional Imaging, Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA; Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA
| | - Hiroto Hatabu
- Department of Radiology, Center for Pulmonary Functional Imaging, Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA.
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Ueno M, Egashira R, Hashisako M, Fujimoto K, Fukuda T, Hayashida Y, Sumikawa H, Tominaga J, Tanaka T, Terasaki Y, Fukuoka J, Nishioka Y, Aoki T, Gabata T, Hatabu H, Johkoh T. Idiopathic dendriform pulmonary ossification as the phenotype of interstitial lung abnormalities: CT-pathologic correlation and prevalence. Jpn J Radiol 2024:10.1007/s11604-024-01590-8. [PMID: 38740642 DOI: 10.1007/s11604-024-01590-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 05/04/2024] [Indexed: 05/16/2024]
Abstract
BACKGROUND AND PURPOSE Idiopathic dendriform pulmonary ossification (DPO) is mostly asymptomatic, and detected incidentally in lung CT. There have been no reports on the precise CT-pathologic correlation and the prevalence of idiopathic DPO. This study aimed to clarify the histological background and prevalence of idiopathic DPO. MATERIALS AND METHODS Sixteen patients with histologically confirmed idiopathic DPO (12 men and 4 women; mean age, 38.8 years; range 22-56 years) were identified in a nationwide epidemiological survey. Local HRCT findings of pre-biopsy examinations, such as branching, round, linear structures with or without high attenuation were compared side by side with histological findings. The attenuation of branching, round, and linear structures was classified into three-point levels on bone window images (width, 2500 HU; level, 500 HU). Furthermore, we collected continuous pulmonary CT images of 8111 cases for checking up metastasis from extrathoracic malignancy at a single institution, and evaluated the prevalence of interstitial lung abnormalities (ILAs) and DPO. RESULTS In all 16 cases, branching (n = 15, 93%), round (n = 5, 31%), or linear (n = 5, 31%) structures were identified, histologically corresponding to dendriform ossification and cicatricial organizing pneumonia (OP)/fibrosis. Histologically, ossification was confirmed in all the 16 patients. However, in two cases, a highly attenuated structure could not be detected on the pre-biopsy CT of the same area. Regarding the prevalence of idiopathic DPO, 283 (3.5%) of 8111 patients had ILAs, of which a total of 26 (0.3% of all cases, 9.2% of ILAs cases) had DPO. CONCLUSION Idiopathic DPO showed linear or branching structures with or without high attenuation on CT, corresponded to ossification, cicatricial OP/fibrosis. DPO was seen in 9.2% of ILAs cases. Idiopathic DPO is one of pathologic phenotypes of ILAs.
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Affiliation(s)
- Midori Ueno
- Department of Radiology, University of Occupational and Environmental Health School of Medicine, 1-1 Iseigaoka, Kitakyushu City, Fukuoka, 807-8555, Japan.
| | - Ryoko Egashira
- Department of Radiology, Faculty of Medicine, Saga University, 5-1-1, Nabesima, Saga City, Saga, 849-8501, Japan
| | - Mikiko Hashisako
- Department of Anatomic Pathology, Pathological Sciences, Graduate School of Medicine Sciences, Kyushu University, 3-1-1, Maedashi, Fukuoka City, Fukuoka, 812-8582, Japan
| | - Kiminori Fujimoto
- Department of Radiology, Kurume University School of Medicine, 67, Asahimachi, Kurume City, Fukuoka, 830-0011, Japan
| | - Taiki Fukuda
- Department of Radiology, The Jikei University School of Medicine, 3-25-8, Nishishinbashi, Minato-Ku, Tokyo, 105-8461, Japan
| | - Yoshiko Hayashida
- Department of Radiology, University of Occupational and Environmental Health School of Medicine, 1-1 Iseigaoka, Kitakyushu City, Fukuoka, 807-8555, Japan
| | - Hiromitsu Sumikawa
- Department of Radiology, National Hospital Organization Kinki-Chuo Chest Medical Center, 1180, Nagasonecyo, Kita-Ku, Sakai City, Osaka, 591-8555, Japan
| | - Junya Tominaga
- Department of Diagnostic Radiology, Tohoku University School of Medicine, 1-1, Seiryoucyo, Aoba-Ku, Sendai City, Miyagi, 980-8574, Japan
| | - Tomonori Tanaka
- Department of Diagnostic Pathology, Kobe University Hospital, 7-5-2, Kusumachi, Cyuoh-Ku, Kobe City, Hyogo, 65017, Japan
| | - Yasuhiro Terasaki
- Department of Analytic Human Pathology, Nippon Medical School Hospital, 1-1-5, Sendaki, Bunkyo-Ku, Tokyo, 113-8603, Japan
| | - Junya Fukuoka
- Department of Pathology Informatics, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1, Sakamoto, Nagasaki City, Nagasaki, 852-8501, Japan
| | - Yasuhiko Nishioka
- Department of Respiratory Medicine and Rheumatology, Graduate School of Biomedical Sciences, Tokushima University, 2-50-1, Kuramotocyo, Tokushima City, Tokusima, 770-0042, Japan
| | - Takatoshi Aoki
- Department of Radiology, University of Occupational and Environmental Health School of Medicine, 1-1 Iseigaoka, Kitakyushu City, Fukuoka, 807-8555, Japan
| | - Toshifumi Gabata
- Department of Radiology, Kanazawa University Graduate School of Medical Science, 13-1, Takaramachi, Kanazawa City, Isihikawa, 920-8641, Japan
| | - Hiroto Hatabu
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75, Francis Street, Boston, 02115, USA
| | - Takeshi Johkoh
- Department of Radiology, Kansai Rosai Hospital, 3-1-69, Inabaso, Amagasaki City, Hyogo, 660-0064, Japan
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Hata A, Yanagawa M, Miyata T, Hiraoka Y, Shirae M, Ninomiya K, Doi S, Yamagata K, Yoshida Y, Kikuchi N, Ogawa R, Hatabu H, Tomiyama N. Association between interstitial lung abnormality and mortality in patients with esophageal cancer. Jpn J Radiol 2024:10.1007/s11604-024-01563-x. [PMID: 38658500 DOI: 10.1007/s11604-024-01563-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 03/18/2024] [Indexed: 04/26/2024]
Abstract
PURPOSE To investigate the relationship between interstitial lung abnormalities (ILAs) and mortality in patients with esophageal cancer and the cause of mortality. MATERIALS AND METHODS This retrospective study investigated patients with esophageal cancer from January 2011 to December 2015. ILAs were visually scored on baseline CT using a 3-point scale (0 = non-ILA, 1 = indeterminate for ILA, and 2 = ILA). ILAs were classified into subcategories of non-subpleural, subpleural non-fibrotic, and subpleural fibrotic. Five-year overall survival (OS) was compared between patients with and without ILAs using the multivariable Cox proportional hazards model. Subgroup analyses were performed based on cancer stage and ILA subcategories. The prevalences of treatment complications and death due to esophageal cancer and pneumonia/respiratory failure were analyzed using Fisher's exact test. RESULTS A total of 478 patients with esophageal cancer (age, 66.8 years ± 8.6 [standard deviation]; 64 women) were evaluated in this study. Among them, 267 patients showed no ILAs, 125 patients were indeterminate for ILAs, and 86 patients showed ILAs. ILAs were a significant factor for shorter OS (hazard ratio [HR] = 1.68, 95% confidence interval [CI] 1.10-2.55, P = 0.016) in the multivariable Cox proportional hazards model adjusting for age, sex, smoking history, clinical stage, and histology. On subgroup analysis using patients with clinical stage IVB, the presence of ILAs was a significant factor (HR = 3.78, 95% CI 1.67-8.54, P = 0.001). Subpleural fibrotic ILAs were significantly associated with shorter OS (HR = 2.22, 95% CI 1.25-3.93, P = 0.006). There was no significant difference in treatment complications. Patients with ILAs showed a higher prevalence of death due to pneumonia/respiratory failure than those without ILAs (non-ILA, 2/95 [2%]; ILA, 5/39 [13%]; P = 0.022). The prevalence of death due to esophageal cancer was similar in patients with and without ILA (non-ILA, 82/95 [86%]; ILA 32/39 [82%]; P = 0.596). CONCLUSION ILAs were significantly associated with shorter survival in patients with esophageal cancer.
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Affiliation(s)
- Akinori Hata
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan.
| | - Masahiro Yanagawa
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
| | - Tomo Miyata
- Department of Radiology, Sakai City Medical Center, 1-1-1 Ebaraji-cho, Nishi-ku, Sakai, Osaka, 5938304, Japan
| | - Yu Hiraoka
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
| | - Motohiro Shirae
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
| | - Keisuke Ninomiya
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
| | - Shuhei Doi
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
| | - Kazuki Yamagata
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
| | - Yuriko Yoshida
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
| | - Noriko Kikuchi
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
| | - Ryo Ogawa
- Future Diagnostic Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
| | - Hiroto Hatabu
- Center for Pulmonary Functional Imaging, Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | - Noriyuki Tomiyama
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan
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García Mullor MM, Arenas-Jiménez JJ, Ureña Vacas A, Gayá García-Manso I, Pérez Pérez JL, Serra Serra N, García Sevila R. Prevalence and prognostic meaning of interstitial lung abnormalities in remote CT scans of patients with interstitial lung disease treated with antifibrotic therapy. RADIOLOGIA 2024; 66 Suppl 1:S10-S23. [PMID: 38642956 DOI: 10.1016/j.rxeng.2023.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 03/29/2023] [Indexed: 04/22/2024]
Abstract
OBJECTIVES To describe the prevalence and characteristics of interstitial lung abnormalities (ILA) in CT scans performed prior to the initiation of antifibrotics in a series of patients with interstitial lung disease (ILD), and to identify characteristics apparent on early CT scans that could help to predict outcomes. METHODS We conducted a retrospective observational study. The original cohort consisted of 101 patients diagnosed with ILD and treated with antifibrotics in a tertiary hospital. Patients were included if they had a thoracic CT scan performed at least one year before initiation of therapy. They were classified radiologically in three groups: without ILA, with radiological ILA and extensive abnormalities. ILA were classified as subpleural fibrotic, subpleural non-fibrotic and non-subpleural. The initial scan and the latest CT scan performed before treatment were read for assessing progression. The relationship between CT findings of fibrosis and the radiological progression rate and mortality were analyzed. RESULTS We included 50 patients. Only 1 (2%) had a normal CT scan, 25 (50%) had extensive alterations and 24 (48%) had radiological criteria for ILA, a median of 98.2 months before initiation of antifibrotics, of them 18 (75%) had a subpleural fibrotic pattern. Significant bronchiectasis and obvious honeycombing in the lower zones were associated with shorter survival (p = 0.04). Obvious honeycombing in the lower zones was also significantly (p < 0.05) associated with a faster progression rate. CONCLUSIONS Fibrotic ILAs are frequent in remote scans of patients with clinically relevant ILD, long before they require antifibrotics. Findings of traction bronchiectasis and honeycombing in the earliest scans, even in asymptomatic patients, are related to mortality and progression later on.
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Affiliation(s)
- M M García Mullor
- Servicio de Neumología, Hospital General Universitario Dr. Balmis, Alicante, Spain
| | - J J Arenas-Jiménez
- Servicio de Radiodiagnóstico, Hospital General Universitario Dr. Balmis, Alicante, Spain; Departamento de Patología y Cirugía, Universidad Miguel Hernández, Sant Joan d'Alacant, Alicante, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, Spain.
| | - A Ureña Vacas
- Servicio de Radiodiagnóstico, Hospital General Universitario Dr. Balmis, Alicante, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, Spain
| | - I Gayá García-Manso
- Servicio de Neumología, Hospital General Universitario Dr. Balmis, Alicante, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, Spain
| | - J L Pérez Pérez
- Servicio de Neumología, Hospital General Universitario Dr. Balmis, Alicante, Spain
| | - N Serra Serra
- Servicio de Radiodiagnóstico, Hospital General Universitario Dr. Balmis, Alicante, Spain
| | - R García Sevila
- Servicio de Neumología, Hospital General Universitario Dr. Balmis, Alicante, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, Spain; Departamento de Medicina Clínica, Universidad Miguel Hernández, Sant Joan d'Alacant, Alicante, Spain
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Jin GY. Interstitial Lung Abnormality in Asian Population. Tuberc Respir Dis (Seoul) 2024; 87:134-144. [PMID: 38111097 PMCID: PMC10990607 DOI: 10.4046/trd.2023.0117] [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: 08/10/2023] [Revised: 11/05/2023] [Accepted: 12/17/2023] [Indexed: 12/20/2023] Open
Abstract
Interstitial lung abnormalities (ILAs) are radiologic abnormalities found incidentally on chest computed tomography (CT) that can be show a wide range of diseases, from subclinical lung fibrosis to early pulmonary fibrosis including definitive usual interstitial pneumonia. To clear up confusion about ILA, the Fleischner society published a position paper on the definition, clinical symptoms, increased mortality, radiologic progression, and management of ILAs based on several Western cohorts and articles. Recently, studies on long-term outcome, risk factors, and quantification of ILA to address the confusion have been published in Asia. The incidence of ILA was 7% to 10% for Westerners, while the prevalence of ILA was about 4% for Asians. ILA is closely related to various respiratory symptoms or increased rate of treatment-related complication in lung cancer. There is little difference between Westerners and Asians regarding the clinical importance of ILA. Although the role of quantitative CT as a screening tool for ILA requires further validation and standardized imaging protocols, using a threshold of 5% in at least one zone demonstrated 67.6% sensitivity, 93.3% specificity, and 90.5% accuracy, and a 1.8% area threshold showed 100% sensitivity and 99% specificity in South Korea. Based on the position paper released by the Fleischner society, I would like to report how much ILA occurs in the Asian population, what the prognosis is, and review what management strategies should be pursued in the future.
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Affiliation(s)
- Gong Yong Jin
- Department of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonbuk National University and Medical School, Jeonju, Republic of Korea
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Lee KS, Han J, Wada N, Hata A, Lee HY, Yi C, Hino T, Doyle TJ, Franquet T, Hatabu H. Imaging of Pulmonary Fibrosis: An Update, From the AJR Special Series on Imaging of Fibrosis. AJR Am J Roentgenol 2024; 222:e2329119. [PMID: 37095673 DOI: 10.2214/ajr.23.29119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023]
Abstract
Pulmonary fibrosis is recognized as occurring in association with a wide and increasing array of conditions, and it presents with a spectrum of chest CT appearances. Idiopathic pulmonary fibrosis (IPF), which corresponds histologically with usual interstitial pneumonia and represents the most common idiopathic interstitial pneumonia, is a chronic progressive fibrotic interstitial lung disease (ILD) of unknown cause. Progressive pulmonary fibrosis (PPF) describes the radiologic development of pulmonary fibrosis in patients with ILD of a known or unknown cause other than IPF. The recognition of PPF impacts management of patients with ILD-for example, in guiding initiation of antifibrotic therapy. Interstitial lung abnormalities are an incidental CT finding in patients without suspected ILD and may represent an early intervenable form of pulmonary fibrosis. Traction bronchiectasis and/or bronchiolectasis, when detected in the setting of chronic fibrosis, is generally considered evidence of irreversible disease, and progression predicts worsening mortality risk. Awareness of the association between pulmonary fibrosis and connective tissue diseases, particularly rheumatoid arthritis, is increasing. This review provides an update on the imaging of pulmonary fibrosis, with attention given to recent advances in disease understanding with relevance to radiologic practice. The essential role of a multidisciplinary approach to clinical and radiologic data is highlighted.
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Affiliation(s)
- Kyung Soo Lee
- Department of Radiology, Samsung ChangWon Hospital, Sungkyunkwan University School of Medicine, ChangWon, Republic of Korea
| | - Joungho Han
- Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Noriaki Wada
- Department of Radiology, Center for Pulmonary Functional Imaging, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St, Boston, MA 02115
| | - Akinori Hata
- Department of Radiology, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Ho Yun Lee
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
| | - ChinA Yi
- Department of Radiology, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Takuya Hino
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tracy J Doyle
- Pulmonary and Critical Care Division, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Tomas Franquet
- Department of Diagnostic Radiology, Hospital de Sant Pau, Universidad Autónoma de Barcelona, Barcelona, Spain
| | - Hiroto Hatabu
- Department of Radiology, Center for Pulmonary Functional Imaging, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St, Boston, MA 02115
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Ahn Y, Lee SM, Choi S, Lee JS, Choe J, Do KH, Seo JB. Automated CT quantification of interstitial lung abnormality and interstitial lung disease according to the Fleischner Society in patients with resectable lung cancer: prognostic significance. Eur Radiol 2023; 33:8251-8262. [PMID: 37266656 DOI: 10.1007/s00330-023-09783-x] [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: 10/26/2022] [Revised: 04/12/2023] [Accepted: 04/15/2023] [Indexed: 06/03/2023]
Abstract
OBJECTIVE To assess the prognostic significance of automatically quantified interstitial lung abnormality (ILA) according to the definition by the Fleischner Society in patients with resectable non-small-cell lung cancer (NSCLC). METHODS Patients who underwent lobectomy or pneumonectomy for NSCLC between January 2015 and December 2019 were retrospectively included. Preoperative CT scans were analyzed using the commercially available deep-learning-based automated quantification software for ILA. According to quantified results and the definition by the Fleischner Society and multidisciplinary discussion, patients were divided into normal, ILA, and interstitial lung disease (ILD) groups. RESULTS Of the 1524 patients, 87 (5.7%) and 20 (1.3%) patients had ILA and ILD, respectively. Both ILA (HR, 1.81; 95% CI: 1.25-2.61; p = .002) and ILD (HR, 5.26; 95% CI: 2.99-9.24; p < .001) groups had poor recurrence-free survival (RFS). Overall survival (OS) decreased (HR 2.13 [95% CI: 1.27-3.58; p = .004] for the ILA group and 7.20 [95% CI: 3.80-13.62, p < .001] for the ILD group) as the disease severity increased. Both quantified fibrotic and non-fibrotic ILA components were associated with poor RFS (HR, 1.57; 95% CI: 1.12-2.21; p = .009; and HR, 1.11; 95% CI: 1.01-1.23; p = .03) and OS (HR, 1.59; 95% CI: 1.06-2.37; p = .02; and HR, 1.17; 95% CI: 1.03-1.33; and p = .01) in normal and ILA groups. CONCLUSIONS The automated CT quantification of ILA based on the definition by the Fleischner Society predicts outcomes of patients with resectable lung cancer based on the disease category and quantified fibrotic and non-fibrotic ILA components. CLINICAL RELEVANCE STATEMENT Quantitative CT assessment of ILA provides prognostic information for lung cancer patients after surgery, which can help in considering active surveillance for recurrence, especially in those with a larger extent of quantified ILA. KEY POINTS • Of the 1524 patients with resectable lung cancer, 1417 (93.0%) patients were categorized as normal, 87 (5.7%) as interstitial lung abnormality (ILA), and 20 (1.3%) as interstitial lung disease (ILD). • Both ILA and ILD groups were associated with poor recurrence-free survival (hazard ratio [HR], 1.81, p = .002; HR, 5.26, p < .001, respectively) and overall survival (HR, 2.13; p = .004; HR, 7.20; p < .001). • Both quantified fibrotic and non-fibrotic ILA components were associated with recurrence-free survival and overall survival in normal and ILA groups.
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Affiliation(s)
- Yura Ahn
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 138-736, Republic of Korea
| | - Sang Min Lee
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 138-736, Republic of Korea.
| | - Sehoon Choi
- Department of Cardiothoracic Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Ji Sung Lee
- Department of Clinical Epidemiology and Biostatistics, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Jooae Choe
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 138-736, Republic of Korea
| | - Kyung-Hyun Do
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 138-736, Republic of Korea
| | - Joon Beom Seo
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 138-736, Republic of Korea
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Shin YJ, Yi JG, Kim MY, Son D, Ahn SY. Radiologic Progression of Interstitial Lung Abnormalities following Surgical Resection in Patients with Lung Cancer. J Clin Med 2023; 12:6858. [PMID: 37959324 PMCID: PMC10647667 DOI: 10.3390/jcm12216858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 10/26/2023] [Accepted: 10/27/2023] [Indexed: 11/15/2023] Open
Abstract
In this study, we aimed to assess the prevalence of interstitial lung abnormalities (ILAs) and investigate the rates and risk factors associated with radiologic ILA progression among patients with lung cancer following surgical resection. Patients who underwent surgical resection for lung cancer at our institution from January 2015 to December 2020 were retrospectively evaluated and grouped according to their ILA status as having no ILAs, equivocal ILAs, or ILAs. Progression was determined by simultaneously reviewing the baseline and corresponding follow-up computed tomography (CT) scans. Among 346 patients (median age: 67 (interquartile range: 60-74) years, 204 (59.0%) men), 22 (6.4%) had equivocal ILAs, and 33 (9.5%) had ILAs detected upon baseline CT. Notably, six patients (6/291; 2.1%) without ILAs upon baseline CT later developed ILAs, and 50% (11/22) of those with equivocal ILAs exhibited progression. Furthermore, 75.8% (25/33) of patients with ILAs upon baseline CT exhibited ILA progression (76.9% and 71.4% with fibrotic and non-fibrotic ILAs, respectively). Multivariate analysis revealed that ILA status was a significant risk factor for ILA progression. ILAs and equivocal ILAs were associated with radiologic ILA progression after surgical resection in patients with lung cancer. Hence, early ILA detection can significantly affect clinical outcomes.
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Affiliation(s)
- Yoon Joo Shin
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul 05030, Republic of Korea; (Y.J.S.)
| | - Jeong Geun Yi
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul 05030, Republic of Korea; (Y.J.S.)
| | - Mi Young Kim
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul 05030, Republic of Korea; (Y.J.S.)
| | - Donghee Son
- Research Coordinating Center, Konkuk University Medical Center, Seoul 05030, Republic of Korea
| | - Su Yeon Ahn
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul 05030, Republic of Korea; (Y.J.S.)
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10
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Park S, Choe J, Hwang HJ, Noh HN, Jung YJ, Lee JB, Do KH, Chae EJ, Seo JB. Long-Term Follow-Up of Interstitial Lung Abnormality: Implication in Follow-Up Strategy and Risk Thresholds. Am J Respir Crit Care Med 2023; 208:858-867. [PMID: 37590877 DOI: 10.1164/rccm.202303-0410oc] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 08/17/2023] [Indexed: 08/19/2023] Open
Abstract
Rationale: The optimal follow-up computed tomography (CT) interval for detecting the progression of interstitial lung abnormality (ILA) is unknown. Objectives: To identify optimal follow-up strategies and extent thresholds on CT relevant to outcomes. Methods: This retrospective study included self-referred screening participants aged 50 years or older, including nonsmokers, who had imaging findings relevant to ILA on chest CT scans. Consecutive CT scans were evaluated to determine the dates of the initial CT showing ILA and the CT showing progression. Deep learning-based ILA quantification was performed. Cox regression was used to identify risk factors for the time to ILA progression and progression to usual interstitial pneumonia (UIP). Measurements and Main Results: Of the 305 participants with a median follow-up duration of 11.3 years (interquartile range, 8.4-14.3 yr), 239 (78.4%) had ILA on at least one CT scan. In participants with serial follow-up CT studies, ILA progression was observed in 80.5% (161 of 200), and progression to UIP was observed in 17.3% (31 of 179), with median times to progression of 3.2 years (95% confidence interval [CI], 3.0-3.4 yr) and 11.8 years (95% CI, 10.8-13.0 yr), respectively. The extent of fibrosis on CT was an independent risk factor for ILA progression (hazard ratio, 1.12 [95% CI, 1.02-1.23]) and progression to UIP (hazard ratio, 1.39 [95% CI, 1.07-1.80]). Risk groups based on honeycombing and extent of fibrosis (1% in the whole lung or 5% per lung zone) showed significant differences in 10-year overall survival (P = 0.02). Conclusions: For individuals with initially detected ILA, follow-up CT at 3-year intervals may be appropriate to monitor radiologic progression; however, those at high risk of adverse outcomes on the basis of the quantified extent of fibrotic ILA and the presence of honeycombing may benefit from shortening the interval for follow-up scans.
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Affiliation(s)
- Sohee Park
- Department of Radiology and Research Institute of Radiology
| | - Jooae Choe
- Department of Radiology and Research Institute of Radiology
| | - Hye Jeon Hwang
- Department of Radiology and Research Institute of Radiology
| | - Han Na Noh
- Health Screening and Promotion Center, and
| | | | - Jung-Bok Lee
- Department of Clinical Epidemiology and Biostatistics, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Kyung-Hyun Do
- Department of Radiology and Research Institute of Radiology
| | - Eun Jin Chae
- Department of Radiology and Research Institute of Radiology
| | - Joon Beom Seo
- Department of Radiology and Research Institute of Radiology
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11
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Larici AR, Cicchetti G. The Promise of Quantitative Computed Tomographic Analysis in Assessing Progression of Interstitial Lung Abnormalities and Emphysema in Smokers. Am J Respir Crit Care Med 2023; 208:645-647. [PMID: 37478327 PMCID: PMC10515567 DOI: 10.1164/rccm.202306-1063ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 07/19/2023] [Indexed: 07/23/2023] Open
Affiliation(s)
- Anna Rita Larici
- Dipartimento di Scienze Radiologiche ed Ematologiche Universita' Cattolica del Sacro Cuore di Roma, Italia
- Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia Fondazione Policlinico Universitario "A. Gemelli" IRCCS Roma, Italia
| | - Giuseppe Cicchetti
- Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia Fondazione Policlinico Universitario "A. Gemelli" IRCCS Roma, Italia
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12
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Ichikado K, Ichiyasu H, Iyonaga K, Kawamura K, Higashi N, Johkoh T, Fujimoto K, Morinaga J, Yoshida M, Mitsuzaki K, Suga M, Tanabe N, Handa T, Hirai T, Sakagami T. An observational cohort study of interstitial lung abnormalities (ILAs) in a large Japanese health screening population (Kumamoto ILA study in Japan: KILA-J). BMC Pulm Med 2023; 23:199. [PMID: 37291485 DOI: 10.1186/s12890-023-02455-y] [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: 02/23/2023] [Accepted: 04/26/2023] [Indexed: 06/10/2023] Open
Abstract
BACKGROUND Interstitial lung abnormalities (ILAs) are subtle or mild parenchymal abnormalities observed in more than 5% of the lungs on computed tomography (CT) scans in patients in whom interstitial lung disease was not previously clinically suspected and is considered. ILA is considered to be partly undeveloped stages of idiopathic pulmonary fibrosis (IPF) or progressive pulmonary fibrosis (PPF). This study aims to clarify the frequency of subsequent IPF or PPF diagnosis, the natural course from the preclinical status of the diseases, and the course after commencing treatment. METHODS This is an ongoing, prospective, multicentre observational cohort study of patients with ILA referred from general health screening facilities with more than 70,000 annual attendances. Up to 500 participants will be enrolled annually over 3 years, with 5-year assessments every six months. Treatment intervention including anti-fibrotic agents will be introduced in disease progression cases. The primary outcome is the frequency of subsequent IPF or PPF diagnoses. Additionally, secondary and further endpoints are associated with the efficacy of early therapeutic interventions in cases involving disease progression, including quantitative assessment by artificial intelligence. DISCUSSION This is the first prospective, multicentre, observational study to clarify (i) the aetiological data of patients with ILA from the largest general health check-up population, (ii) the natural course of IPF or PPF from the asymptomatic stage, and (iii) the effects and outcomes of early therapeutic intervention including anti-fibrotic agents for progressive cases of ILA. The results of this study could significantly impact the clinical practice and treatment strategy for progressive fibrosing interstitial lung diseases. TRIAL REGISTRATION NUMBER UMIN000045149.
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Affiliation(s)
- Kazuya Ichikado
- Division of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Chuo-ku, Kumamoto, 861-4101, Japan.
| | - Hidenori Ichiyasu
- Department of Respiratory Medicine, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Kazuhiro Iyonaga
- Department of Respiratory Medicine, Kumamoto Red Cross Hospital, 2-1-1 Nagamineminami, Higashi-ku, Kumamoto, 861-8039, Japan
| | - Kodai Kawamura
- Division of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Chuo-ku, Kumamoto, 861-4101, Japan
| | - Noritaka Higashi
- Japanese Red Cross Kumamoto Health Management Care Center, 2-1-1 Nagamineminami, Higashi-ku, Kumamoto, 861-8528, Japan
| | - Takeshi Johkoh
- Department of Radiology, Kansai Rosai Hospital, 3-1-69 Inabaso, Amagasaki, Hyogo, 660- 8511, Japan
| | - Kiminori Fujimoto
- Department of Radiology, Center for Diagnostic Imaging, Kurume University School of Medicine, Kurume University Hospital, 67 Asahi-machi, Kurume, Fukuoka, 830-0011, Japan
| | - Jun Morinaga
- Department of Clinical Investigation (Biostatistics), Kumamoto University Hospital, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan
| | - Minoru Yoshida
- Japanese Red Cross Kumamoto Health Management Care Center, 2-1-1 Nagamineminami, Higashi-ku, Kumamoto, 861-8528, Japan
| | - Katsuhiko Mitsuzaki
- Saiseikai Kumamoto Hospital, Center for Preventive Medicine, 5-3-1 Chikami, Chuo-ku, Kumamoto, 861-4101, Japan
| | - Moritaka Suga
- Division of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Chuo-ku, Kumamoto, 861-4101, Japan
| | - Naoya Tanabe
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kawahara 54, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Tomohiro Handa
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kawahara 54, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kawahara 54, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Takuro Sakagami
- Department of Respiratory Medicine, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan
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13
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Chae KJ, Lim S, Seo JB, Hwang HJ, Choi H, Lynch D, Jin GY. Interstitial Lung Abnormalities at CT in the Korean National Lung Cancer Screening Program: Prevalence and Deep Learning-based Texture Analysis. Radiology 2023; 307:e222828. [PMID: 37097142 DOI: 10.1148/radiol.222828] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023]
Abstract
Background Interstitial lung abnormalities (ILAs) are associated with worse clinical outcomes, but ILA with lung cancer screening CT has not been quantitatively assessed. Purpose To determine the prevalence of ILA at CT examinations from the Korean National Lung Cancer Screening Program and define an optimal lung area threshold for ILA detection with CT with use of deep learning-based texture analysis. Materials and Methods This retrospective study included participants who underwent chest CT between April 2017 and December 2020 at two medical centers participating in the Korean National Lung Cancer Screening Program. CT findings were classified by three radiologists into three groups: no ILA, equivocal ILA, and ILA (fibrotic and nonfibrotic). Progression was evaluated between baseline and last follow-up CT scan. The extent of ILA was assessed visually and quantitatively with use of deep learning-based texture analysis. The Youden index was used to determine an optimal cutoff value for detecting ILA with use of texture analysis. Demographics and ILA subcategories were compared between participants with progressive and nonprogressive ILA. Results A total of 3118 participants were included in this study, and ILAs were observed with the CT scans of 120 individuals (4%). The median extent of ILA calculated by the quantitative system was 5.8% for the ILA group, 0.7% for the equivocal ILA group, and 0.1% for the no ILA group (P < .001). A 1.8% area threshold in a lung zone for quantitative detection of ILA showed 100% sensitivity and 99% specificity. Progression was observed in 48% of visually assessed fibrotic ILAs (15 of 31), and quantitative extent of ILA increased by 3.1% in subjects with progression. Conclusion ILAs were detected in 4% of the Korean lung cancer screening population. Deep learning-based texture analysis showed high sensitivity and specificity for detecting ILA with use of a 1.8% lung area cutoff value. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Egashira and Nishino in this issue.
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Affiliation(s)
- Kum Ju Chae
- From the Department of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, 20 Geonjiro Deokjin-gu, Jeonju-si, Jeollabuk-do, Korea 54907 (K.J.C., G.Y.J.); Department of Radiology, Jeonbuk National University Medical School, Jeonju, Korea (K.J.C., G.Y.J.); Department of Radiology, National Jewish Health, Denver, Colo (K.J.C., H.J.H., D.L.); Department of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea (S.L.); Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea (J.B.S., H.J.H.); and Department of Statistics and Institute of Applied Statistics, Jeonbuk National University, Jeonju, Republic of Korea (H.C.)
| | - Soyeoun Lim
- From the Department of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, 20 Geonjiro Deokjin-gu, Jeonju-si, Jeollabuk-do, Korea 54907 (K.J.C., G.Y.J.); Department of Radiology, Jeonbuk National University Medical School, Jeonju, Korea (K.J.C., G.Y.J.); Department of Radiology, National Jewish Health, Denver, Colo (K.J.C., H.J.H., D.L.); Department of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea (S.L.); Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea (J.B.S., H.J.H.); and Department of Statistics and Institute of Applied Statistics, Jeonbuk National University, Jeonju, Republic of Korea (H.C.)
| | - Joon Beom Seo
- From the Department of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, 20 Geonjiro Deokjin-gu, Jeonju-si, Jeollabuk-do, Korea 54907 (K.J.C., G.Y.J.); Department of Radiology, Jeonbuk National University Medical School, Jeonju, Korea (K.J.C., G.Y.J.); Department of Radiology, National Jewish Health, Denver, Colo (K.J.C., H.J.H., D.L.); Department of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea (S.L.); Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea (J.B.S., H.J.H.); and Department of Statistics and Institute of Applied Statistics, Jeonbuk National University, Jeonju, Republic of Korea (H.C.)
| | - Hye Jeon Hwang
- From the Department of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, 20 Geonjiro Deokjin-gu, Jeonju-si, Jeollabuk-do, Korea 54907 (K.J.C., G.Y.J.); Department of Radiology, Jeonbuk National University Medical School, Jeonju, Korea (K.J.C., G.Y.J.); Department of Radiology, National Jewish Health, Denver, Colo (K.J.C., H.J.H., D.L.); Department of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea (S.L.); Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea (J.B.S., H.J.H.); and Department of Statistics and Institute of Applied Statistics, Jeonbuk National University, Jeonju, Republic of Korea (H.C.)
| | - Hyemi Choi
- From the Department of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, 20 Geonjiro Deokjin-gu, Jeonju-si, Jeollabuk-do, Korea 54907 (K.J.C., G.Y.J.); Department of Radiology, Jeonbuk National University Medical School, Jeonju, Korea (K.J.C., G.Y.J.); Department of Radiology, National Jewish Health, Denver, Colo (K.J.C., H.J.H., D.L.); Department of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea (S.L.); Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea (J.B.S., H.J.H.); and Department of Statistics and Institute of Applied Statistics, Jeonbuk National University, Jeonju, Republic of Korea (H.C.)
| | - David Lynch
- From the Department of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, 20 Geonjiro Deokjin-gu, Jeonju-si, Jeollabuk-do, Korea 54907 (K.J.C., G.Y.J.); Department of Radiology, Jeonbuk National University Medical School, Jeonju, Korea (K.J.C., G.Y.J.); Department of Radiology, National Jewish Health, Denver, Colo (K.J.C., H.J.H., D.L.); Department of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea (S.L.); Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea (J.B.S., H.J.H.); and Department of Statistics and Institute of Applied Statistics, Jeonbuk National University, Jeonju, Republic of Korea (H.C.)
| | - Gong Yong Jin
- From the Department of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, 20 Geonjiro Deokjin-gu, Jeonju-si, Jeollabuk-do, Korea 54907 (K.J.C., G.Y.J.); Department of Radiology, Jeonbuk National University Medical School, Jeonju, Korea (K.J.C., G.Y.J.); Department of Radiology, National Jewish Health, Denver, Colo (K.J.C., H.J.H., D.L.); Department of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea (S.L.); Department of Radiology, Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea (J.B.S., H.J.H.); and Department of Statistics and Institute of Applied Statistics, Jeonbuk National University, Jeonju, Republic of Korea (H.C.)
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14
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Interstitial lung abnormalities (ILA) on routine chest CT: Comparison of radiologists’ visual evaluation and automated quantification. Eur J Radiol 2022; 157:110564. [DOI: 10.1016/j.ejrad.2022.110564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 10/06/2022] [Accepted: 10/11/2022] [Indexed: 11/21/2022]
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15
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Hata A, Hino T, Yanagawa M, Nishino M, Hida T, Hunninghake GM, Tomiyama N, Christiani DC, Hatabu H. Interstitial Lung Abnormalities at CT: Subtypes, Clinical Significance, and Associations with Lung Cancer. Radiographics 2022; 42:1925-1939. [PMID: 36083805 PMCID: PMC9630713 DOI: 10.1148/rg.220073] [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: 04/03/2022] [Revised: 06/15/2022] [Accepted: 06/22/2022] [Indexed: 11/11/2022]
Abstract
Interstitial lung abnormality (ILA) is defined as an interstitial change detected incidentally on CT images. It is seen in 4%-9% of smokers and 2%-7% of nonsmokers. ILA has a tendency to progress with time and is associated with respiratory symptoms, decreased exercise capability, reduced pulmonary function, and increased mortality. ILAs can be classified into three subcategories: nonsubpleural, subpleural nonfibrotic, and subpleural fibrotic. In cases of ILA, clinically significant interstitial lung disease should be identified and requires clinically driven management by a pulmonologist. Risk factors for the progression of ILA include clinical elements (ie, inhalation exposures, medication use, radiation therapy, thoracic surgery, physiologic findings, and gas exchange findings) and radiologic elements (ie, basal and peripheral predominance and fibrotic findings). It is recommended that individuals with one or more clinical or radiologic risk factors for progression of ILA be actively monitored with pulmonary function testing and CT. To avoid overcalling ILA at CT, radiologists must recognize the imaging pitfalls, including centrilobular nodularity, dependent abnormality, suboptimal inspiration, osteophyte-related lesions, apical cap and pleuroparenchymal fibroelastosis-like lesions, aspiration, and infection. There is a close association between ILA and lung cancer, and many studies have reported an increased incidence of lung cancer, worse prognoses, and/or increased pulmonary complications in relation to cancer treatment in patients with ILA. ILA is considered to be an important comorbidity in patients with lung cancer. Accordingly, all radiologists involved with body CT must have sound knowledge of ILAs owing to the high prevalence and potential clinical significance of these anomalies. An overview of ILAs, including a literature review of the associations between ILAs and lung cancer, is presented. ©RSNA, 2022.
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Affiliation(s)
- Akinori Hata
- From the Department of Diagnostic and Interventional Radiology,
Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka
5650871, Japan (A.H., M.Y., N.T.); Center for Pulmonary Functional Imaging,
Department of Radiology (A.H., T.H., M.N., G.M.H., H.H.) and Pulmonary and
Critical Care Division (G.M.H.), Brigham and Women’s Hospital and Harvard
Medical School, Boston, MA; Department of Clinical Radiology, Graduate School of
Medical Sciences, Kyushu University, Fukuoka, Japan (T. Hino, T. Hida);
Department of Imaging, Dana Farber Cancer Institute, Boston, MA (M.N.); and
Department of Environmental Health, Harvard TH Chan School of Public Health,
Boston, Mass (D.C.C.)
| | - Takuya Hino
- From the Department of Diagnostic and Interventional Radiology,
Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka
5650871, Japan (A.H., M.Y., N.T.); Center for Pulmonary Functional Imaging,
Department of Radiology (A.H., T.H., M.N., G.M.H., H.H.) and Pulmonary and
Critical Care Division (G.M.H.), Brigham and Women’s Hospital and Harvard
Medical School, Boston, MA; Department of Clinical Radiology, Graduate School of
Medical Sciences, Kyushu University, Fukuoka, Japan (T. Hino, T. Hida);
Department of Imaging, Dana Farber Cancer Institute, Boston, MA (M.N.); and
Department of Environmental Health, Harvard TH Chan School of Public Health,
Boston, Mass (D.C.C.)
| | - Masahiro Yanagawa
- From the Department of Diagnostic and Interventional Radiology,
Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka
5650871, Japan (A.H., M.Y., N.T.); Center for Pulmonary Functional Imaging,
Department of Radiology (A.H., T.H., M.N., G.M.H., H.H.) and Pulmonary and
Critical Care Division (G.M.H.), Brigham and Women’s Hospital and Harvard
Medical School, Boston, MA; Department of Clinical Radiology, Graduate School of
Medical Sciences, Kyushu University, Fukuoka, Japan (T. Hino, T. Hida);
Department of Imaging, Dana Farber Cancer Institute, Boston, MA (M.N.); and
Department of Environmental Health, Harvard TH Chan School of Public Health,
Boston, Mass (D.C.C.)
| | - Mizuki Nishino
- From the Department of Diagnostic and Interventional Radiology,
Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka
5650871, Japan (A.H., M.Y., N.T.); Center for Pulmonary Functional Imaging,
Department of Radiology (A.H., T.H., M.N., G.M.H., H.H.) and Pulmonary and
Critical Care Division (G.M.H.), Brigham and Women’s Hospital and Harvard
Medical School, Boston, MA; Department of Clinical Radiology, Graduate School of
Medical Sciences, Kyushu University, Fukuoka, Japan (T. Hino, T. Hida);
Department of Imaging, Dana Farber Cancer Institute, Boston, MA (M.N.); and
Department of Environmental Health, Harvard TH Chan School of Public Health,
Boston, Mass (D.C.C.)
| | - Tomoyuki Hida
- From the Department of Diagnostic and Interventional Radiology,
Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka
5650871, Japan (A.H., M.Y., N.T.); Center for Pulmonary Functional Imaging,
Department of Radiology (A.H., T.H., M.N., G.M.H., H.H.) and Pulmonary and
Critical Care Division (G.M.H.), Brigham and Women’s Hospital and Harvard
Medical School, Boston, MA; Department of Clinical Radiology, Graduate School of
Medical Sciences, Kyushu University, Fukuoka, Japan (T. Hino, T. Hida);
Department of Imaging, Dana Farber Cancer Institute, Boston, MA (M.N.); and
Department of Environmental Health, Harvard TH Chan School of Public Health,
Boston, Mass (D.C.C.)
| | - Gary M. Hunninghake
- From the Department of Diagnostic and Interventional Radiology,
Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka
5650871, Japan (A.H., M.Y., N.T.); Center for Pulmonary Functional Imaging,
Department of Radiology (A.H., T.H., M.N., G.M.H., H.H.) and Pulmonary and
Critical Care Division (G.M.H.), Brigham and Women’s Hospital and Harvard
Medical School, Boston, MA; Department of Clinical Radiology, Graduate School of
Medical Sciences, Kyushu University, Fukuoka, Japan (T. Hino, T. Hida);
Department of Imaging, Dana Farber Cancer Institute, Boston, MA (M.N.); and
Department of Environmental Health, Harvard TH Chan School of Public Health,
Boston, Mass (D.C.C.)
| | - Noriyuki Tomiyama
- From the Department of Diagnostic and Interventional Radiology,
Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka
5650871, Japan (A.H., M.Y., N.T.); Center for Pulmonary Functional Imaging,
Department of Radiology (A.H., T.H., M.N., G.M.H., H.H.) and Pulmonary and
Critical Care Division (G.M.H.), Brigham and Women’s Hospital and Harvard
Medical School, Boston, MA; Department of Clinical Radiology, Graduate School of
Medical Sciences, Kyushu University, Fukuoka, Japan (T. Hino, T. Hida);
Department of Imaging, Dana Farber Cancer Institute, Boston, MA (M.N.); and
Department of Environmental Health, Harvard TH Chan School of Public Health,
Boston, Mass (D.C.C.)
| | - David C. Christiani
- From the Department of Diagnostic and Interventional Radiology,
Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka
5650871, Japan (A.H., M.Y., N.T.); Center for Pulmonary Functional Imaging,
Department of Radiology (A.H., T.H., M.N., G.M.H., H.H.) and Pulmonary and
Critical Care Division (G.M.H.), Brigham and Women’s Hospital and Harvard
Medical School, Boston, MA; Department of Clinical Radiology, Graduate School of
Medical Sciences, Kyushu University, Fukuoka, Japan (T. Hino, T. Hida);
Department of Imaging, Dana Farber Cancer Institute, Boston, MA (M.N.); and
Department of Environmental Health, Harvard TH Chan School of Public Health,
Boston, Mass (D.C.C.)
| | - Hiroto Hatabu
- From the Department of Diagnostic and Interventional Radiology,
Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka
5650871, Japan (A.H., M.Y., N.T.); Center for Pulmonary Functional Imaging,
Department of Radiology (A.H., T.H., M.N., G.M.H., H.H.) and Pulmonary and
Critical Care Division (G.M.H.), Brigham and Women’s Hospital and Harvard
Medical School, Boston, MA; Department of Clinical Radiology, Graduate School of
Medical Sciences, Kyushu University, Fukuoka, Japan (T. Hino, T. Hida);
Department of Imaging, Dana Farber Cancer Institute, Boston, MA (M.N.); and
Department of Environmental Health, Harvard TH Chan School of Public Health,
Boston, Mass (D.C.C.)
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16
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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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HERZ THORAX – Interstitielle Lungenabnormalitäten im CT. ROFO-FORTSCHR RONTG 2022. [DOI: 10.1055/a-1855-6715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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18
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Oh AS, Lynch DA. Interstitial Lung Abnormality—Why Should I Care and What Should I Do About It? Radiol Clin North Am 2022; 60:889-899. [DOI: 10.1016/j.rcl.2022.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Li YZ, Jin GY, Chae KJ, Han YM. Quantitative Assessment of Airway Changes in Fibrotic Interstitial Lung Abnormality Patients by Chest CT According to Cumulative Cigarette Smoking. Tomography 2022; 8:1024-1032. [PMID: 35448716 PMCID: PMC9032598 DOI: 10.3390/tomography8020082] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 03/20/2022] [Accepted: 03/31/2022] [Indexed: 11/16/2022] Open
Abstract
Purpose: The aim of this study was to evaluate the role of Pi10 in patients with fibrotic interstitial lung abnormality (fibrotic ILA) in a chest CT, according to cumulative cigarette smoking. Methods: We retrospectively assessed 54 fibrotic ILA patients and 18 healthy non-smokers (control) who underwent non-enhanced CT and pulmonary function tests. We quantitatively analyzed airway changes (the inner luminal area, airway inner parameter, airway wall thickness, Pi10, skewness, and kurtosis) in the chest CT of fibrotic ILA patients, and the fibrotic ILA patients were categorized into groups based on pack-years: light, moderate, heavy. Airway change data and pulmonary function tests among the three groups of fibrotic ILA patients were compared with those of the control group by one-way ANOVA. Results: Mean skewness (2.58 ± 0.36) and kurtosis (7.64 ± 2.36) in the control group were significantly different from those of the fibrotic ILA patients (1.89 ± 0.37 and 3.62 ± 1.70, respectively, p < 0.001). In fibrotic ILA group, only heavy smokers had significantly increased Pi10 (mean increase 0.04, p = 0.013), increased airway wall thickness of the segmental bronchi (mean increase 0.06 mm, p = 0.005), and decreased lung diffusing capacity for carbon monoxide (p = 0.023). Conclusion: Pi10, as a biomaker of quantitative CT in fibrotic ILA patients, can reveal that smoking affects airway remodeling.
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Affiliation(s)
- Yuan Zhe Li
- Department of Radiology, Jeonbuk National University Medical School, Jeonju 54896, Korea; (Y.Z.L.); (K.J.C.); (Y.M.H.)
| | - Gong Yong Jin
- Department of Radiology, Jeonbuk National University Medical School, Jeonju 54896, Korea; (Y.Z.L.); (K.J.C.); (Y.M.H.)
- Research Institute of Clinical Medicine, Biomedical Research Institute of Jeonbuk National University Hospital, Jeonbuk National University Medical School, Institute of Medical Science, Jeonju 54970, Korea
- Correspondence: ; Tel.: +82-063-250-2307
| | - Kum Ju Chae
- Department of Radiology, Jeonbuk National University Medical School, Jeonju 54896, Korea; (Y.Z.L.); (K.J.C.); (Y.M.H.)
- Research Institute of Clinical Medicine, Biomedical Research Institute of Jeonbuk National University Hospital, Jeonbuk National University Medical School, Institute of Medical Science, Jeonju 54970, Korea
| | - Young Min Han
- Department of Radiology, Jeonbuk National University Medical School, Jeonju 54896, Korea; (Y.Z.L.); (K.J.C.); (Y.M.H.)
- Research Institute of Clinical Medicine, Biomedical Research Institute of Jeonbuk National University Hospital, Jeonbuk National University Medical School, Institute of Medical Science, Jeonju 54970, Korea
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Cho SW, Jeong WG, Lee JE, Oh I, Song SY, Park HM, Lee H, Kim Y. Clinical implication of interstitial lung abnormality in elderly patients with early‐stage non‐small cell lung cancer. Thorac Cancer 2022; 13:977-985. [PMID: 35150070 PMCID: PMC8977159 DOI: 10.1111/1759-7714.14341] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Revised: 01/17/2022] [Accepted: 01/20/2022] [Indexed: 11/26/2022] Open
Affiliation(s)
- Seong Woo Cho
- Department of Radiology Chonnam National University Medical School Gwangju South Korea
| | - Won Gi Jeong
- Department of Radiology Chonnam National University Medical School Gwangju South Korea
- Lung and Esophageal Cancer Clinic Chonnam National University Hwasun Hospital Hwasun South Korea
| | - Jong Eun Lee
- Department of Radiology Chonnam National University Medical School Gwangju South Korea
| | - In‐Jae Oh
- Lung and Esophageal Cancer Clinic Chonnam National University Hwasun Hospital Hwasun South Korea
- Department of Internal Medicine Chonnam National University Medical School Gwangju South Korea
| | - Sang Yun Song
- Lung and Esophageal Cancer Clinic Chonnam National University Hwasun Hospital Hwasun South Korea
- Department of Thoracic and Cardiovascular Surgery Chonnam National University Medical School, Chonnam National University Hospital Gwangju South Korea
| | - Hye Mi Park
- Department of Radiology Chonnam National University Medical School Gwangju South Korea
- Lung and Esophageal Cancer Clinic Chonnam National University Hwasun Hospital Hwasun South Korea
| | - Hyo‐Jae Lee
- Department of Radiology Chonnam National University Medical School Gwangju South Korea
| | - Yun‐Hyeon Kim
- Department of Radiology Chonnam National University Medical School Gwangju South Korea
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