1
|
Sehgal IS, Dhooria S, Muthu V, Salzer HJF, Agarwal R. Burden, clinical features, and outcomes of post-tuberculosis chronic obstructive lung diseases. Curr Opin Pulm Med 2024; 30:156-166. [PMID: 37902135 DOI: 10.1097/mcp.0000000000001026] [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: 10/31/2023]
Abstract
PURPOSE OF REVIEW Post-tuberculosis lung disease (PTLD) is an increasingly recognized and debilitating consequence of pulmonary tuberculosis (PTB). In this review, we provide a comprehensive overview of PTLD with airflow obstruction (PTLD-AFO), focusing on its burden, pathophysiology, clinical manifestations, diagnostic methods, and management strategies. RECENT FINDINGS The relationship between PTLD and airflow obstruction is complex and multifactorial. Approximately 60% of the patients with PTLD have some spirometric abnormality. Obstruction is documented in 18-22% of PTLD patients. The host susceptibility and host response to mycobacterium drive the pathogenic mechanism of PTLD. A balance between inflammatory, anti-inflammatory, and fibrotic pathways decides whether an individual with PTB would have PTLD after microbiological cure. An obstructive abnormality in PTLD-AFO is primarily due to destruction of bronchial walls, aberrant healing, and reduction of mucosal glands. The most common finding on computed tomography (CT) of thorax in patients with PTLD-AFO is bronchiectasis and cavitation. Therefore, the 'Cole's vicious vortex' described in bronchiectasis applies to PTLD. A multidisciplinary approach is required for diagnosis and treatment. The disability-adjusted life-years (DALYs) attributed to PTLD represent about 50% of the total estimated burden of DALYs due to tuberculosis (TB). Patients with PTLD require comprehensive care that includes psychosocial support, pulmonary rehabilitation, and vaccination against respiratory pathogens. In the absence of trials evaluating different treatments for PTLD-AFO, therapy is primarily symptomatic. SUMMARY PTLD with airflow obstruction has considerable burden and causes a significant morbidity and mortality. However, many aspects of PTLD-AFO still need to be answered. Studies are required to evaluate different phenotypes, especially concerning Aspergillus -related complications. The treatment should be personalized based on the predominant phenotype of airflow obstruction. Extensive studies to understand the exact burden, pathogenesis, and treatment of PTBLD-AFO are needed.
Collapse
Affiliation(s)
- Inderpaul Singh Sehgal
- Department of Pulmonary Medicine, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, Punjab, India
| | - Sahajal Dhooria
- Department of Pulmonary Medicine, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, Punjab, India
| | - Valliappan Muthu
- Department of Pulmonary Medicine, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, Punjab, India
| | - Helmut J F Salzer
- Division of Infectious Diseases and Tropical Medicine, Department of Internal Medicine 4 - Pneumology, Kepler University Hospital
- Medical Faculty, Johannes Kepler University Linz, Linz
- Ignaz-Semmelweis-Institute, Interuniversity Institute for Infection Research, Vienna, Austria
| | - Ritesh Agarwal
- Department of Pulmonary Medicine, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, Punjab, India
| |
Collapse
|
2
|
Iwasawa T, Matsushita S, Hirayama M, Baba T, Ogura T. Quantitative Analysis for Lung Disease on Thin-Section CT. Diagnostics (Basel) 2023; 13:2988. [PMID: 37761355 PMCID: PMC10528918 DOI: 10.3390/diagnostics13182988] [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: 08/01/2023] [Revised: 08/30/2023] [Accepted: 09/12/2023] [Indexed: 09/29/2023] Open
Abstract
Thin-section computed tomography (CT) is widely employed not only for assessing morphology but also for evaluating respiratory function. Three-dimensional images obtained from thin-section CT provide precise measurements of lung, airway, and vessel volumes. These volumetric indices are correlated with traditional pulmonary function tests (PFT). CT also generates lung histograms. The volume ratio of areas with low and high attenuation correlates with PFT results. These quantitative image analyses have been utilized to investigate the early stages and disease progression of diffuse lung diseases, leading to the development of novel concepts such as pre-chronic obstructive pulmonary disease (pre-COPD) and interstitial lung abnormalities. Quantitative analysis proved particularly valuable during the COVID-19 pandemic when clinical evaluations were limited. In this review, we introduce CT analysis methods and explore their clinical applications in the context of various lung diseases. We also highlight technological advances, including images with matrices of 1024 × 1024 and slice thicknesses of 0.25 mm, which enhance the accuracy of these analyses.
Collapse
Affiliation(s)
- Tae Iwasawa
- Department of Radiology, Kanagawa Cardiovascular & Respiratory Center, 6-16-1 Tomioka-higashi, Kanazawa-ku, Yokohama 236-0051, Japan; (S.M.); (M.H.)
| | - Shoichiro Matsushita
- Department of Radiology, Kanagawa Cardiovascular & Respiratory Center, 6-16-1 Tomioka-higashi, Kanazawa-ku, Yokohama 236-0051, Japan; (S.M.); (M.H.)
| | - Mariko Hirayama
- Department of Radiology, Kanagawa Cardiovascular & Respiratory Center, 6-16-1 Tomioka-higashi, Kanazawa-ku, Yokohama 236-0051, Japan; (S.M.); (M.H.)
| | - Tomohisa Baba
- Department of Respiratory Medicine, Kanagawa Cardiovascular & Respiratory Center, 6-16-1 Tomioka-higashi, Kanazawa-ku, Yokohama 236-0051, Japan; (T.B.); (T.O.)
| | - Takashi Ogura
- Department of Respiratory Medicine, Kanagawa Cardiovascular & Respiratory Center, 6-16-1 Tomioka-higashi, Kanazawa-ku, Yokohama 236-0051, Japan; (T.B.); (T.O.)
| |
Collapse
|
3
|
[3D whole body scans in dermatology-a new era in clinical practice and research?]. DERMATOLOGIE (HEIDELBERG, GERMANY) 2022; 73:575-579. [PMID: 35258658 DOI: 10.1007/s00105-022-04966-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/02/2022] [Indexed: 12/13/2022]
|
4
|
Inoue A, Johnson TF, Voss BA, Lee YS, Leng S, Koo CW, McCollough BD, Weaver JM, Gong H, Carter RE, McCollough CH, Fletcher JG. A Pilot Study to Estimate the Impact of High Matrix Image Reconstruction on Chest Computed Tomography. J Clin Imaging Sci 2021; 11:52. [PMID: 34621597 PMCID: PMC8492437 DOI: 10.25259/jcis_143_2021] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 09/14/2021] [Indexed: 12/04/2022] Open
Abstract
Objectives: The objectives of the study were to estimate the impact of high matrix image reconstruction on chest computed tomography (CT) compared to standard image reconstruction. Material and Methods: This retrospective study included patients with interstitial or parenchymal lung disease, airway disease, and pulmonary nodules who underwent chest CT. Chest CT images were reconstructed using high matrix (1024 × 1024) or standard matrix (512 × 512), with all other parameters matched. Two radiologists, blinded to reconstruction technique, independently examined each lung, viewing image sets side by side and rating the conspicuity of imaging findings using a 5-point relative conspicuity scale. The presence of pulmonary nodules and confidence in classification of internal attenuation was also graded. Overall image quality and subjective noise/artifacts were assessed. Results: Thirty-four patients with 68 lungs were evaluated. Relative conspicuity scores were significantly higher using high matrix image reconstruction for all imaging findings indicative of idiopathic lung fibrosis (peripheral airway visualization, interlobular septal thickening, intralobular reticular opacity, and end-stage fibrotic change; P ≤ 0.001) along with emphysema, mosaic attenuation, and fourth order bronchi for both readers (P ≤ 0.001). High matrix reconstruction did not improve confidence in the presence or classification of internal nodule attenuation for either reader. Overall image quality was increased but not subjective noise/artifacts with high matrix image reconstruction for both readers (P < 0.001). Conclusion: High matrix image reconstruction significantly improves the conspicuity of imaging findings reflecting interstitial lung disease and may be useful for diagnosis or treatment response assessment.
Collapse
Affiliation(s)
- Akitoshi Inoue
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, United States
| | - Tucker F Johnson
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, United States
| | - Benjamin A Voss
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, United States
| | - Yong S Lee
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, United States
| | - Shuai Leng
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, United States
| | - Chi Wan Koo
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, United States
| | - Brian D McCollough
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, United States
| | - Jayse M Weaver
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, United States
| | - Hao Gong
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, United States
| | - Rickey E Carter
- Department of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota, United States
| | | | - Joel G Fletcher
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, United States
| |
Collapse
|
5
|
Gomi T, Hara H, Watanabe Y, Mizukami S. Improved digital chest tomosynthesis image quality by use of a projection-based dual-energy virtual monochromatic convolutional neural network with super resolution. PLoS One 2020; 15:e0244745. [PMID: 33382766 PMCID: PMC7774945 DOI: 10.1371/journal.pone.0244745] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 12/15/2020] [Indexed: 12/22/2022] Open
Abstract
We developed a novel dual-energy (DE) virtual monochromatic (VM) very-deep super-resolution (VDSR) method with an unsharp masking reconstruction algorithm (DE–VM–VDSR) that uses projection data to improve the nodule contrast and reduce ripple artifacts during chest digital tomosynthesis (DT). For estimating the residual errors from high-resolution and multiscale VM images from the projection space, the DE–VM–VDSR algorithm employs a training network (mini-batch stochastic gradient-descent algorithm with momentum) and a hybrid super-resolution (SR) image [simultaneous algebraic reconstruction technique (SART) total-variation (TV) first-iterative shrinkage–thresholding algorithm (FISTA); SART–TV–FISTA] that involves subjective reconstruction with bilateral filtering (BF) [DE–VM–VDSR with BF]. DE-DT imaging was accomplished by pulsed X-ray exposures rapidly switched between low (60 kV, 37 projection) and high (120 kV, 37 projection) tube-potential kVp by employing a 40° swing angle. This was followed by comparison of images obtained employing the conventional polychromatic filtered backprojection (FBP), SART, SART–TV–FISTA, and DE–VM–SART–TV–FISTA algorithms. The improvements in contrast, ripple artifacts, and resolution were compared using the signal-difference-to-noise ratio (SDNR), Gumbel distribution of the largest variations, radial modulation transfer function (radial MTF) for a chest phantom with simulated ground-glass opacity (GGO) nodules, and noise power spectrum (NPS) for uniform water phantom. The novel DE–VM–VDSR with BF improved the overall performance in terms of SDNR (DE–VM–VDSR with BF: 0.1603, without BF: 0.1517; FBP: 0.0521; SART: 0.0645; SART–TV–FISTA: 0.0984; and DE–VM–SART–TV–FISTA: 0.1004), obtained a Gumbel distribution that yielded good images showing the type of simulated GGO nodules used in the chest phantom, and reduced the ripple artifacts. The NPS of DE–VM–VDSR with BF showed the lowest noise characteristics in the high-frequency region (~0.8 cycles/mm). The DE–VM–VDSR without BF yielded an improved resolution relative to that of the conventional reconstruction algorithms for radial MTF analysis (0.2–0.3 cycles/mm). Finally, based on the overall image quality, DE–VM–VDSR with BF improved the contrast and reduced the high-frequency ripple artifacts and noise.
Collapse
Affiliation(s)
- Tsutomu Gomi
- School of Allied Health Sciences, Kitasato University, Sagamihara, Kanagawa, Japan
- * E-mail:
| | - Hidetake Hara
- School of Allied Health Sciences, Kitasato University, Sagamihara, Kanagawa, Japan
| | - Yusuke Watanabe
- School of Allied Health Sciences, Kitasato University, Sagamihara, Kanagawa, Japan
| | - Shinya Mizukami
- School of Allied Health Sciences, Kitasato University, Sagamihara, Kanagawa, Japan
| |
Collapse
|
6
|
Nogami S, J-P NA, Nogami M, Matsui T, Ngatu NR, Tamura T, Kusaka Y, Itoh H, Suganuma N. Radiographic diagnosis of Pneumoconioses by AIR Pneumo-trained physicians: Comparison with low-dose thin-slice computed tomography. J Occup Health 2020; 62:e12141. [PMID: 33176059 PMCID: PMC7384989 DOI: 10.1002/1348-9585.12141] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 06/03/2020] [Accepted: 06/05/2020] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVES The Asian Intensive Reader of Pneumoconiosis (AIR Pneumo) is a training program designed to improve diagnostic skills for chest radiographies (CXRs) in accordance with the ILO/ICRP 2000. The purpose was to determine the prevalence of occupational environmental pulmonary disease findings in construction workers on thin-slice computed tomography (thin-slice CT), and to compare the diagnostic performance with CXR evaluated by AIR Pneumo-trained physicians. METHODS Ninety-seven male construction workers underwent low-dose thin-slice CT and CXR on the same day. NIOSH B reader and a board-certified radiologist each interpreted the thin-slice CTs independently. The concordant findings on thin-slice CT were established as the reference standard and were statistically compared with CXRs. Four physicians interpreted CXRs independently according to the ILO/ICRP 2000. RESULTS Of the 97 cases, nine showed irregular or linear opacities, and 44 had pleural plaques on thin-slice CT. Five, four, three, and two of nine cases with irregular opacity were detected by the four readers on CXRs, respectively. Sixteen, 14, 9, and 5 of the 44 cases with pleural plaques were detected by the four readers, respectively. Specificities for irregular opacities ranged from 94% to 100%, and those for pleural plaques were from 86% to 96%. CONCLUSIONS Thin-slice CT-detected irregular opacity was found in 9.3%, whereas pleural plaque was found in 45.4% among the construction workers. Chest radiography showed acceptable performance in classifying pneumoconiotic opacities according to ILO/ICRP 2000 by the AIR Pneumo and/or NIOSH-certified physicians.
Collapse
Affiliation(s)
- Shoko Nogami
- Department of Environmental Medicine, Kochi Medical School, Kochi University, Nankoku, Japan
| | - Naw Awn J-P
- Department of Environmental Medicine, Kochi Medical School, Kochi University, Nankoku, Japan
| | - Munenobu Nogami
- Department of Radiology, Kobe University Hospital, Kobe, Japan
| | - Tomomi Matsui
- Department of Environmental Medicine, Kochi Medical School, Kochi University, Nankoku, Japan
| | - Nlandu Roger Ngatu
- Department of Public Health, Kagawa University Faculty of Medicine, Kagawa, Japan
| | - Taro Tamura
- Fukui City Public Health Center, Fukui, Japan
| | - Yukinori Kusaka
- Department of Radiology, Faculty of Medicine, University of Fukui, Japan
| | - Harumi Itoh
- Department of Radiology, Faculty of Medicine, University of Fukui, Japan
| | - Narufumi Suganuma
- Department of Environmental Medicine, Kochi Medical School, Kochi University, Nankoku, Japan
| |
Collapse
|
7
|
Hepatopulmonary syndrome has low prevalence of pulmonary vascular abnormalities on chest computed tomography. PLoS One 2019; 14:e0223805. [PMID: 31626650 PMCID: PMC6799931 DOI: 10.1371/journal.pone.0223805] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 09/27/2019] [Indexed: 11/23/2022] Open
Abstract
Purpose Hepatopulmonary syndrome (HPS) is defined as an arterial oxygenation defect induced by intrapulmonary vascular dilatations associated with hepatic disease. This study aimed to assess the prevalence of type 1 and 2 pulmonary vascular abnormalities on chest computed tomography (CT) in patients with cirrhosis and HPS and to characterize intra- and interobserver reliability. Materials and methods Two thoracic radiologists retrospectively evaluated chest CT scans from 38 cirrhosis patients with HPS. They classified the pulmonary vascular abnormalities as type 1 (multiple dilated distal pulmonary arteries), type 2(nodular dilatation or individual pulmonary arterial malformation), or absence of abnormality. Furthermore, they measured the diameters of the central pulmonary arteries and subsegmental pulmonary arteries and bronchi. We analyzed the prevalence, intraobserver reliability, and interobserver reliability of abnormal CT findings related to HPS, and the correlation of these findings with partial arterial oxygen pressure (PaO2). Results The overall prevalence of pulmonary vascular abnormalities was 28.9% (95% confidence intervals: 15.4%, 45.9%). Moreover, 26.3% of patients had type 1 abnormality (13.4%, 43.1%) and 2.6% of patients had type 2 abnormality (0.0%, 13.8%). The intraobserver reliability kappa value was 0.666 (0.40, 0.91) and the interobserver kappa value was 0.443 (0.12, 0.77). There was no correlation between pulmonary vascular abnormalities on CT and PaO2 values. Conclusions The prevalence of pulmonary vascular abnormalities on chest CT of patients with cirrhosis and HPS is low and not correlated with PaO2. These findings question the usefulness of chest CT for the evaluation of patients with cirrhosis and HPS.
Collapse
|
8
|
Prototype Ultrahigh-Resolution Computed Tomography for Chest Imaging: Initial Human Experience. J Comput Assist Tomogr 2019; 43:805-810. [PMID: 31490890 DOI: 10.1097/rct.0000000000000917] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OBJECTIVE The objective of this study was to evaluate a prototype, ultrahigh-resolution computed tomography offering higher reconstruction matrix (1024 × 1024) and spatial resolution (0.15 mm) for chest imaging. METHODS Higher (1024) matrix reconstruction enabled by ultrahigh-resolution computed tomography scanner (128-detector rows; detector width, 0.25 mm; spatial resolution, 0.15 mm) was compared with conventional (512) reconstruction with image quality grading on a Likert scale (1, excellent; 5, nondiagnostic) for image noise, artifacts, contrast, small detail, lesion conspicuity, image sharpness, and diagnostic confidence. Image noise and signal-to-noise ratio were quantified. RESULTS Diagnostic image quality was achieved for all scans on 101 patients. The 1024 reconstruction demonstrated increased image noise (20.2 ± 4.0 vs 17.2 ± 3.8, P < 0.001) and a worse noise rating (1.98 ± 0.63 vs 1.75 ± 0.61, P < 0.001) but performed significantly better than conventional 512 matrix with fewer artifacts (1.37 ± 0.43 vs 1.50 ± 0.48, P < 0.001), better contrast (1.50 ± 0.56 vs 1.62 ± 0.57, P < 0.001), small detail detection (1.06 ± 0.19 vs 2.02 ± 0.22, P < 0.001), lesion conspicuity (1.08 ± 0.23 vs 2.02 ± 0.24, P < 0.001), sharpness (1.09 ± 0.24 vs 2.02 ± 0.28, P < 0.001), and overall diagnostic confidence (1.09 ± 0.25 vs 1.18 ± 0.34, P < 0.001). CONCLUSIONS Ultrahigh-resolution computed tomography enabled a higher reconstruction matrix and improved image quality compared with conventional matrix reconstruction, with a minor increase in noise.
Collapse
|
9
|
Janssen R, Piscaer I, Franssen FME, Wouters EFM. Emphysema: looking beyond alpha-1 antitrypsin deficiency. Expert Rev Respir Med 2019; 13:381-397. [DOI: 10.1080/17476348.2019.1580575] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Rob Janssen
- Department of Pulmonary Medicine, Canisius-Wilhelmina Hospital, Nijmegen, The Netherlands
| | - Ianthe Piscaer
- Department of Respiratory Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Frits M. E. Franssen
- Department of Respiratory Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands
- CIRO, Center of Expertise for Chronic Organ Failure, Horn, The Netherlands
| | - Emiel F. M. Wouters
- Department of Respiratory Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands
- CIRO, Center of Expertise for Chronic Organ Failure, Horn, The Netherlands
| |
Collapse
|
10
|
Singh D. Imaging of Pulmonary Infections. THORACIC IMAGING 2019. [PMCID: PMC7120992 DOI: 10.1007/978-981-13-2544-1_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Pulmonary infections have always been a cause of high morbidity and mortality, particularly in the pediatric and geriatric population and in immunocompromised hosts [1]. Pulmonary infections have various etiologies and have variegated patterns on radiographs and computed tomography (CT). Imaging plays an important role in the initial diagnosis and follow-up of various lung infections. Radiographs can be normal or non-specific during the initial evaluation, and CT findings may be more definitive. CT not only helps with the diagnosis but can also aid in management by guiding the diagnostic and therapeutic procedure. The pulmonary infections spread by direct or indirect contact with the infected host, droplet transmission, or an airborne spread. In rare cases, some infections can also be transmitted by vectors, namely, insect or animal hosts, and rarely by direct invasion from nearby infected organs. Pulmonary infections may have typical imaging patterns and distribution based on the mode of spread. There are a number of well-described imaging patterns of alveolar infections. The localization and morphological features on imaging may help in the diagnosis of infection and identification of mode of infection and, in certain cases, the microorganism responsible for the infection.
Collapse
|
11
|
Pulmonary measles disease: old and new imaging tools. Radiol Med 2018; 123:935-943. [PMID: 30062499 DOI: 10.1007/s11547-018-0919-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 07/09/2018] [Indexed: 01/09/2023]
Abstract
BACKGROUND Measles virus can cause lower respiratory tract infection, so that chest radiography is necessary to investigate lung involvement in patients with respiratory distress. PURPOSE To assess measles pneumonia imaging during the measles outbreak occurred in 2016-2017 in Italy. MATERIAL AND METHODS We retrospectively observed adult patients with a serological diagnosis of measles, who underwent chest-X rays for suspected pneumonia. If a normal radiography resulted, the patient underwent unenhanced CT. A CT post processing software package was used for an additional quantitative lung and airway involvement analysis . RESULTS Among 290 patients affected by measles, 150 underwent chest-X ray. Traditional imaging allowed the pneumonia diagnosis in 114 patients (76%). The most frequent abnormality at chest X-rays was bronchial wall thickening, observed in 88.5% of the cases; radiological findings are faint in the 25% of the cases (29/114 patients). In nine subjects with a normal chest X-ray, unenhanced CT with a quantitative analysis was performed, and depicted features consistent with constrictive bronchiolitis. CONCLUSION Measles may produce bronchiolitis and pneumonia. In the cases in which involvement of pulmonary parenchyma is not sufficient to result in radiological abnormalities, CT used with a dedicated postprocessing software package, provides an accurate lungs and airways analysis, also determining the percentage of lung involvement.
Collapse
|
12
|
Lynch DA, Moore CM, Wilson C, Nevrekar D, Jennermann T, Humphries SM, Austin JHM, Grenier PA, Kauczor HU, Han MK, Regan EA, Make BJ, Bowler RP, Beaty TH, Curran-Everett D, Hokanson JE, Curtis JL, Silverman EK, Crapo JD. CT-based Visual Classification of Emphysema: Association with Mortality in the COPDGene Study. Radiology 2018; 288:859-866. [PMID: 29762095 PMCID: PMC6122195 DOI: 10.1148/radiol.2018172294] [Citation(s) in RCA: 123] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Purpose To determine whether visually assessed patterns of emphysema at CT might provide a simple assessment of mortality risk among cigarette smokers. Materials and Methods Of the first 4000 cigarette smokers consecutively enrolled between 2007 and 2011 in this COPDGene study, 3171 had data available for both visual emphysema CT scores and survival. Each CT scan was retrospectively visually scored by two analysts using the Fleischner Society classification system. Severity of emphysema was also evaluated quantitatively by using percentage lung volume occupied by low-attenuation areas (voxels with attenuation of −950 HU or less) (LAA-950). Median duration of follow-up was 7.4 years. Regression analysis for the relationship between imaging patterns and survival was based on the Cox proportional hazards model, with adjustment for age, race, sex, height, weight, pack-years of cigarette smoking, current smoking status, educational level, LAA-950, and (in a second model) forced expiratory volume in 1 second (FEV1). Results Observer agreement in visual scoring was good (weighted κ values, 0.71–0.80). There were 519 deaths in the study cohort. Compared with subjects who did not have visible emphysema, mortality was greater in those with any grade of emphysema beyond trace (adjusted hazard ratios, 1.7, 2.5, 5.0, and 4.1, respectively, for mild centrilobular emphysema, moderate centrilobular emphysema, confluent emphysema, and advanced destructive emphysema, P < .001). This increased mortality generally persisted after adjusting for LAA-950. Conclusion The visual presence and severity of emphysema is associated with significantly increased mortality risk, independent of the quantitative severity of emphysema. Online supplemental material is available for this article.
Collapse
Affiliation(s)
- David A Lynch
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Camille M Moore
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Carla Wilson
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Dipti Nevrekar
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Theodore Jennermann
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Stephen M Humphries
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - John H M Austin
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Philippe A Grenier
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Hans-Ulrich Kauczor
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - MeiLan K Han
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Elizabeth A Regan
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Barry J Make
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Russell P Bowler
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Terri H Beaty
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Douglas Curran-Everett
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - John E Hokanson
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Jeffrey L Curtis
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Edwin K Silverman
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - James D Crapo
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | -
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| |
Collapse
|
13
|
Screening for Lung Cancer: Incidental Pulmonary Parenchymal Findings. AJR Am J Roentgenol 2018; 210:503-513. [DOI: 10.2214/ajr.17.19003] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
|
14
|
Ravimohan S, Kornfeld H, Weissman D, Bisson GP. Tuberculosis and lung damage: from epidemiology to pathophysiology. Eur Respir Rev 2018; 27:27/147/170077. [PMID: 29491034 PMCID: PMC6019552 DOI: 10.1183/16000617.0077-2017] [Citation(s) in RCA: 230] [Impact Index Per Article: 38.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Accepted: 10/28/2017] [Indexed: 12/12/2022] Open
Abstract
A past history of pulmonary tuberculosis (TB) is a risk factor for long-term respiratory impairment. Post-TB lung dysfunction often goes unrecognised, despite its relatively high prevalence and its association with reduced quality of life. Importantly, specific host and pathogen factors causing lung impairment remain unclear. Host immune responses probably play a dominant role in lung damage, as excessive inflammation and elevated expression of lung matrix-degrading proteases are common during TB. Variability in host genes that modulate these immune responses may determine the severity of lung impairment, but this hypothesis remains largely untested. In this review, we provide an overview of the epidemiological literature on post-TB lung impairment and link it to data on the pathogenesis of lung injury from the perspective of dysregulated immune responses and immunogenetics. Host factors driving lung injury in TB likely contribute to variable patterns of pulmonary impairment after TBhttp://ow.ly/a3of30hBsxB
Collapse
Affiliation(s)
- Shruthi Ravimohan
- Dept of Medicine, Division of Infectious Diseases, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Hardy Kornfeld
- Dept of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - Drew Weissman
- Dept of Medicine, Division of Infectious Diseases, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Gregory P Bisson
- Dept of Medicine, Division of Infectious Diseases, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.,Dept of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
15
|
Messerli M, Ottilinger T, Warschkow R, Leschka S, Alkadhi H, Wildermuth S, Bauer RW. Emphysema quantification and lung volumetry in chest X-ray equivalent ultralow dose CT - Intra-individual comparison with standard dose CT. Eur J Radiol 2017. [PMID: 28629554 DOI: 10.1016/j.ejrad.2017.03.003] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVES To determine whether ultralow dose chest CT with tin filtration can be used for emphysema quantification and lung volumetry and to assess differences in emphysema measurements and lung volume between standard dose and ultralow dose CT scans using advanced modeled iterative reconstruction (ADMIRE). METHODS 84 consecutive patients from a prospective, IRB-approved single-center study were included and underwent clinically indicated standard dose chest CT (1.7±0.6mSv) and additional single-energy ultralow dose CT (0.14±0.01mSv) at 100kV and fixed tube current at 70mAs with tin filtration in the same session. Forty of the 84 patients (48%) had no emphysema, 44 (52%) had emphysema. One radiologist performed fully automated software-based pulmonary emphysema quantification and lung volumetry of standard and ultralow dose CT with different levels of ADMIRE. Friedman test and Wilcoxon rank sum test were used for multiple comparison of emphysema and lung volume. Lung volumes were compared using the concordance correlation coefficient. RESULTS The median low-attenuation areas (LAA) using filtered back projection (FBP) in standard dose was 4.4% and decreased to 2.6%, 2.1% and 1.8% using ADMIRE 3, 4, and 5, respectively. The median values of LAA in ultralow dose CT were 5.7%, 4.1% and 2.4% for ADMIRE 3, 4, and 5, respectively. There was no statistically significant difference between LAA in standard dose CT using FBP and ultralow dose using ADMIRE 4 (p=0.358) as well as in standard dose CT using ADMIRE 3 and ultralow dose using ADMIRE 5 (p=0.966). In comparison with standard dose FBP the concordance correlation coefficients of lung volumetry were 1.000, 0.999, and 0.999 for ADMIRE 3, 4, and 5 in standard dose, and 0.972 for ADMIRE 3, 4 and 5 in ultralow dose CT. CONCLUSIONS Ultralow dose CT at chest X-ray equivalent dose levels allows for lung volumetry as well as detection and quantification of emphysema. However, longitudinal emphysema analyses should be performed with the same scan protocol and reconstruction algorithms for reproducibility.
Collapse
Affiliation(s)
- Michael Messerli
- Department of Nuclear Medicine, University Hospital Zurich, University Zurich, Switzerland; Division of Radiology and Nuclear Medicine, Cantonal Hospital St. Gallen, Switzerland.
| | - Thorsten Ottilinger
- Division of Radiology and Nuclear Medicine, Cantonal Hospital St. Gallen, Switzerland
| | - René Warschkow
- Department of Surgery, Cantonal Hospital St. Gallen, Switzerland
| | - Sebastian Leschka
- Division of Radiology and Nuclear Medicine, Cantonal Hospital St. Gallen, Switzerland; Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University Zurich, Switzerland
| | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University Zurich, Switzerland
| | - Simon Wildermuth
- Division of Radiology and Nuclear Medicine, Cantonal Hospital St. Gallen, Switzerland
| | - Ralf W Bauer
- Division of Radiology and Nuclear Medicine, Cantonal Hospital St. Gallen, Switzerland
| |
Collapse
|
16
|
Buschle LR, Kurz FT, Kampf T, Wagner WL, Duerr J, Stiller W, Konietzke P, Wünnemann F, Mall MA, Wielpütz MO, Schlemmer HP, Ziener CH. Dephasing and diffusion on the alveolar surface. Phys Rev E 2017; 95:022415. [PMID: 28297921 DOI: 10.1103/physreve.95.022415] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Indexed: 06/06/2023]
Abstract
We propose a surface model of spin dephasing in lung tissue that includes both susceptibility and diffusion effects to provide a closed-form solution of the Bloch-Torrey equation on the alveolar surface. The nonlocal susceptibility effects of the model are validated against numerical simulations of spin dephasing in a realistic lung tissue geometry acquired from synchotron-based μCT data sets of mouse lung tissue, and against simulations in the well-known Wigner-Seitz model geometry. The free induction decay is obtained in dependence on microscopic tissue parameters and agrees very well with in vivo lung measurements at 1.5 Tesla to allow a quantification of the local mean alveolar radius. Our results are therefore potentially relevant for the clinical diagnosis and therapy of pulmonary diseases.
Collapse
Affiliation(s)
- L R Buschle
- German Cancer Research Center - DKFZ, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
- Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany
| | - F T Kurz
- German Cancer Research Center - DKFZ, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
- Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany
| | - T Kampf
- University of Würzburg, Department of Experimental Physics 5, Am Hubland, 97074 Würzburg, Germany
| | - W L Wagner
- University of Heidelberg, Department of Diagnostic and Interventional Radiology, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany
- University of Heidelberg, Translational Lung Research Center Heidelberg (TLRC), Member of German Center for Lung Research (DZL), Im Neuenheimer Feld 156, 69120 Heidelberg, Germany
| | - J Duerr
- University of Heidelberg, Translational Lung Research Center Heidelberg (TLRC), Member of German Center for Lung Research (DZL), Im Neuenheimer Feld 156, 69120 Heidelberg, Germany
- University of Heidelberg, Department of Translational Pulmonology, Im Neuenheimer Feld 156, 69120 Heidelberg, Germany
| | - W Stiller
- University of Heidelberg, Department of Diagnostic and Interventional Radiology, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany
- University of Heidelberg, Translational Lung Research Center Heidelberg (TLRC), Member of German Center for Lung Research (DZL), Im Neuenheimer Feld 156, 69120 Heidelberg, Germany
| | - P Konietzke
- University of Heidelberg, Department of Diagnostic and Interventional Radiology, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany
- University of Heidelberg, Translational Lung Research Center Heidelberg (TLRC), Member of German Center for Lung Research (DZL), Im Neuenheimer Feld 156, 69120 Heidelberg, Germany
| | - F Wünnemann
- University of Heidelberg, Department of Diagnostic and Interventional Radiology, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany
| | - M A Mall
- University of Heidelberg, Translational Lung Research Center Heidelberg (TLRC), Member of German Center for Lung Research (DZL), Im Neuenheimer Feld 156, 69120 Heidelberg, Germany
- University of Heidelberg, Department of Translational Pulmonology, Im Neuenheimer Feld 156, 69120 Heidelberg, Germany
| | - M O Wielpütz
- University of Heidelberg, Department of Diagnostic and Interventional Radiology, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany
- University of Heidelberg, Translational Lung Research Center Heidelberg (TLRC), Member of German Center for Lung Research (DZL), Im Neuenheimer Feld 156, 69120 Heidelberg, Germany
| | - H P Schlemmer
- German Cancer Research Center - DKFZ, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
| | - C H Ziener
- German Cancer Research Center - DKFZ, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
- Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany
| |
Collapse
|
17
|
Abstract
The term interstitial lung diseases (ILD) comprises a diverse group of diseases that lead to inflammation and fibrosis of the alveoli, distal airways, and septal interstitium of the lungs. The ILD consist of disorders of known cause (e.g., collagen vascular diseases, drug-related diseases) as well as disorders of unknown etiology. The latter include idiopathic interstitial pneumonias (IIPs), and a group of miscellaneous, rare, but nonetheless interesting, diseases. In patients with ILD, MDCT enriches the diagnostic armamentarium by allowing volumetric high-resolution scanning, i.e., continuous data acquisition with thin collimation and a high spatial frequency reconstruction algorithm. CT is a key method in the identification and management of patients with ILD. It not only improves the detection and characterization of parenchymal abnormalities, but also increases the accuracy of diagnosis. The spectrum of morphologic characteristics that are indicative of interstitial lung disease is relatively limited and includes the linear and reticular pattern, the nodular pattern, the increased attenuation pattern (such as ground-glass opacities and consolidation), and the low attenuation pattern (such as emphysema and cystic lung diseases). In the correct clinical context, some patterns or combination of patterns, together with the anatomic distribution of the abnormality, i.e., from the lung apex to the base, or peripheral subpleural versus central bronchovascular, can lead the interpreter to a specific diagnosis. However, due to an overlap of the CT morphology between the various entities, the final diagnosis of many ILD requires close cooperation between clinicians and radiologists and complementary lung biopsy is recommended in many cases.
Collapse
Affiliation(s)
- Konstantin Nikolaou
- Department of Radiology, University Hospitals Tübingen, Tübingen, Baden-Württemberg Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, University of Freiburg, Freiburg, Germany
| | - Andrea Laghi
- Department of Surgical and Medical Sciences and Translational Medicine, “Sapienza” – University of Rome, Rome, Italy
| | - Geoffrey D. Rubin
- Department of Radiology, Duke University School of Medicine, Durham, NC USA
| |
Collapse
|
18
|
Yasaka K, Katsura M, Hanaoka S, Sato J, Ohtomo K. High-resolution CT with new model-based iterative reconstruction with resolution preference algorithm in evaluations of lung nodules: Comparison with conventional model-based iterative reconstruction and adaptive statistical iterative reconstruction. Eur J Radiol 2016; 85:599-606. [PMID: 26860673 DOI: 10.1016/j.ejrad.2016.01.001] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Revised: 01/04/2016] [Accepted: 01/06/2016] [Indexed: 12/21/2022]
Abstract
OBJECTIVE To compare the image quality of high-resolution computed tomography (HRCT) for evaluating lung nodules reconstructed with the new version of model-based iterative reconstruction and spatial resolution preference algorithm (MBIRn) vs. conventional model-based iterative reconstruction (MBIRc) and adaptive statistical iterative reconstruction (ASIR). MATERIALS AND METHODS This retrospective clinical study was approved by our institutional review board and included 70 lung nodules in 58 patients (mean age, 71.2±10.9years; 34 men and 24 women). HRCT of lung nodules were reconstructed using MBIRn, MBIRc and ASIR. Objective image noise was measured by placing the regions of interest on lung parenchyma. Two blinded radiologists performed subjective image analyses. RESULTS Significant improvements in the following points were observed in MBIRn compared with ASIR (p<0.005): objective image noise (24.4±8.0 vs. 37.7±10.4), subjective image noise, streak artifacts, and adequateness for evaluating internal characteristics and borders of nodules. The sharpness of small vessels and bronchi and diagnostic acceptability with MBIRn were significantly better than with MBIRc and ASIR (p<0.008). CONCLUSION HRCT reconstructed with MBIRn provides diagnostically more acceptable images for the detailed analyses of lung nodules compared with MBIRc and ASIR.
Collapse
Affiliation(s)
- Koichiro Yasaka
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan.
| | - Masaki Katsura
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan
| | - Shouhei Hanaoka
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan
| | - Jiro Sato
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan
| | - Kuni Ohtomo
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan
| |
Collapse
|
19
|
Kurz FT, Kampf T, Buschle LR, Schlemmer HP, Heiland S, Bendszus M, Ziener CH. Microstructural Analysis of Peripheral Lung Tissue through CPMG Inter-Echo Time R2 Dispersion. PLoS One 2015; 10:e0141894. [PMID: 26544068 PMCID: PMC4636373 DOI: 10.1371/journal.pone.0141894] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2015] [Accepted: 10/14/2015] [Indexed: 11/25/2022] Open
Abstract
Since changes in lung microstructure are important indicators for (early stage) lung pathology, there is a need for quantifiable information of diagnostically challenging cases in a clinical setting, e.g. to evaluate early emphysematous changes in peripheral lung tissue. Considering alveoli as spherical air-spaces surrounded by a thin film of lung tissue allows deriving an expression for Carr-Purcell-Meiboom-Gill transverse relaxation rates R2 with a dependence on inter-echo time, local air-tissue volume fraction, diffusion coefficient and alveolar diameter, within a weak field approximation. The model relaxation rate exhibits the same hyperbolic tangent dependency as seen in the Luz-Meiboom model and limiting cases agree with Brooks et al. and Jensen et al. In addition, the model is tested against experimental data for passively deflated rat lungs: the resulting mean alveolar radius of RA = 31.46 ± 13.15 μm is very close to the literature value (∼34 μm). Also, modeled radii obtained from relaxometer measurements of ageing hydrogel foam (that mimics peripheral lung tissue) are in good agreement with those obtained from μCT images of the same foam (mean relative error: 0.06 ± 0.01). The model’s ability to determine the alveolar radius and/or air volume fraction will be useful in quantifying peripheral lung microstructure.
Collapse
Affiliation(s)
- Felix T. Kurz
- Department of Neuroradiology, Heidelberg University, Heidelberg, Germany
- Department of Radiology, German Cancer Research Center, Heidelberg, Germany
- * E-mail:
| | - Thomas Kampf
- Department of Experimental Physics 5, Würzburg University, Würzburg, Germany
| | - Lukas R. Buschle
- Department of Radiology, German Cancer Research Center, Heidelberg, Germany
| | | | - Sabine Heiland
- Department of Neuroradiology, Heidelberg University, Heidelberg, Germany
| | - Martin Bendszus
- Department of Neuroradiology, Heidelberg University, Heidelberg, Germany
| | - Christian H. Ziener
- Department of Neuroradiology, Heidelberg University, Heidelberg, Germany
- Department of Radiology, German Cancer Research Center, Heidelberg, Germany
| |
Collapse
|
20
|
Araki T, Nishino M, Gao W, Dupuis J, Putman RK, Washko GR, Hunninghake GM, O'Connor GT, Hatabu H. Pulmonary cysts identified on chest CT: are they part of aging change or of clinical significance? Thorax 2015; 70:1156-62. [PMID: 26514407 DOI: 10.1136/thoraxjnl-2015-207653] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Accepted: 10/01/2015] [Indexed: 11/03/2022]
Abstract
OBJECTIVE To investigate the prevalence and natural course of pulmonary cysts in a population-based cohort and to describe the CT image characteristics in association with participant demographics and pulmonary functions. MATERIALS AND METHODS Chest CT scans of 2633 participants (mean age 59.2 years; 50% female) of the Framingham Heart Study (FHS) were visually evaluated for the presence of pulmonary cysts and their image characteristics. These findings were correlated with participant demographics and results of pulmonary function tests as well as the presence of emphysema independently detected on CT. The interval change was investigated by comparison with previous CT scans (median interval 6.1 years). RESULTS Pulmonary cysts were seen in 7.6% (95% CI 6.6% to 8.7%; 200/2633). They were not observed in participants younger than 40 years old, and the prevalence increased with age. Multiple cysts (at least five) were seen in 0.9% of all participants. Participants with pulmonary cysts showed significantly lower body mass index (BMI) (p<0.001). Pulmonary cysts were most likely to appear solitary in the peripheral area of the lower lobes and remain unchanged or slightly increase in size over time. Pulmonary cysts showed no significant influence on pulmonary functions (p=0.07-0.6) except for diffusing capacity of the lung for carbon monoxide (DLCO) (p=0.03) and no association with cigarette smoking (p=0.1-0.9) or emphysema (p=0.7). CONCLUSIONS Pulmonary cysts identified on chest CT may be a part of the aging changes of the lungs, occurring in asymptomatic individuals older than 40 years, and are associated with decreased BMI and DLCO. Multiple pulmonary cysts may need to be evaluated for the possibility of cystic lung diseases.
Collapse
Affiliation(s)
- Tetsuro Araki
- Department of Radiology, Center for Pulmonary Functional Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Mizuki Nishino
- Department of Radiology, Center for Pulmonary Functional Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Wei Gao
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA The National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, Massachusetts, USA
| | - Rachel K Putman
- The Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - George R Washko
- The Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Gary M Hunninghake
- The Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - George T O'Connor
- The National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, Massachusetts, USA Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Hiroto Hatabu
- Department of Radiology, Center for Pulmonary Functional Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| |
Collapse
|
21
|
|
22
|
Lynch DA, Austin JHM, Hogg JC, Grenier PA, Kauczor HU, Bankier AA, Barr RG, Colby TV, Galvin JR, Gevenois PA, Coxson HO, Hoffman EA, Newell JD, Pistolesi M, Silverman EK, Crapo JD. CT-Definable Subtypes of Chronic Obstructive Pulmonary Disease: A Statement of the Fleischner Society. Radiology 2015; 277:192-205. [PMID: 25961632 DOI: 10.1148/radiol.2015141579] [Citation(s) in RCA: 380] [Impact Index Per Article: 42.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
The purpose of this statement is to describe and define the phenotypic abnormalities that can be identified on visual and quantitative evaluation of computed tomographic (CT) images in subjects with chronic obstructive pulmonary disease (COPD), with the goal of contributing to a personalized approach to the treatment of patients with COPD. Quantitative CT is useful for identifying and sequentially evaluating the extent of emphysematous lung destruction, changes in airway walls, and expiratory air trapping. However, visual assessment of CT scans remains important to describe patterns of altered lung structure in COPD. The classification system proposed and illustrated in this article provides a structured approach to visual and quantitative assessment of COPD. Emphysema is classified as centrilobular (subclassified as trace, mild, moderate, confluent, and advanced destructive emphysema), panlobular, and paraseptal (subclassified as mild or substantial). Additional important visual features include airway wall thickening, inflammatory small airways disease, tracheal abnormalities, interstitial lung abnormalities, pulmonary arterial enlargement, and bronchiectasis.
Collapse
Affiliation(s)
- David A Lynch
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - John H M Austin
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - James C Hogg
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Philippe A Grenier
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Hans-Ulrich Kauczor
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Alexander A Bankier
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - R Graham Barr
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Thomas V Colby
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Jeffrey R Galvin
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Pierre Alain Gevenois
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Harvey O Coxson
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Eric A Hoffman
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - John D Newell
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Massimo Pistolesi
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - Edwin K Silverman
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| | - James D Crapo
- From the Departments of Radiology (D.A.L.) and Medicine (J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University, New York, NY (J.H.M.A.); Department of Pathology, University of British Columbia, Vancouver, BC, Canada (J.C.H.); Department of Radiology, Hôpital Pitié-Salpêtrière, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany (H.U.K.); Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY (R.G.B.); Department of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.V.C.); Department of Chest Imaging, American Institute for Radiologic Pathology, Silver Spring, Md (J.R.G.); Department of Radiology, Hôpital Erasme, Brussels, Belgium (P.A.G.); Department of Radiology, Vancouver General Hospital, Vancouver, BC, Canada (H.C.); Department of Radiology, Division of Physiological Imaging, Carver College of Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa (E.A.H., J.D.N.); Respiratory Unit, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy (M.P.); and Channing Laboratory, Brigham and Women's Hospital, Boston, Mass (E.K.S.)
| |
Collapse
|
23
|
Cardinale L, Parlatano D, Boccuzzi F, Onoscuri M, Volpicelli G, Veltri A. The imaging spectrum of pulmonary tuberculosis. Acta Radiol 2015; 56:557-64. [PMID: 24833643 DOI: 10.1177/0284185114533247] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2014] [Accepted: 04/06/2014] [Indexed: 01/15/2023]
Abstract
Tuberculosis has still an important impact on public health because it is an important cause of death, particularly in developing countries. On the other hand recent studies have shown that tuberculosis is again becoming concentrated in big cities of Western Europe, especially among immigrants, drug addicts, poor people, and the homeless, despite progress in reducing national rates of the disease. Diagnostic imaging is challenging for radiologists because signs of tuberculosis may easily mimic other diseases such as neoplasms or sarcoidosis. Clinical signs and symptoms in affected adults can be non-specific and a high level of pre-test clinical suspicion based on history is fundamental in the diagnostic work-up. Impact of tuberculosis in the world is extremely important considering the high incidence estimated during 2011 that was 8.7 million cases. This article gives a review of imaging patterns of chest tuberculosis as may be detected on conventional radiography and computerized tomography (CT). The main aim is to improve radiologist's familiarity with the spectrum of imaging features of this disease and facilitate timely diagnosis. Furthermore, we consider the emerging role of alternative methods of imaging, such as magnetic resonance imaging (MRI), that can be helpful and highly accurate for a better definition of some signs of tuberculosis.
Collapse
Affiliation(s)
| | | | | | | | | | - Andrea Veltri
- San Luigi Hospital, University of Turin, Orbassano, Italy
| |
Collapse
|
24
|
Abstract
BACKGROUND The objective of this study was to evaluate pulmonary abnormalities of pleural TB by CT scanning and to determine CT scan findings for the development of the paradoxical response (PR). METHODS CT scans were performed for 349 patients with pleural TB (between 2008 and 2013). We excluded 34 patients with coexisting pulmonary disease (n 5 13) or a totally collapsed lung (n 5 21). We analyzed CT scans focusing on pulmonary abnormalities such as the presence of consolidation, cavitation, interlobular septal thickening, and micronodules and their distribution. In addition, we recorded the development of PR during follow-up and statistically analyzed differences in clinical and CT scan findings between patients with and without PR. RESULTS A total of 270 of 315 patients (86%) had pulmonary abnormalities. Common CT scan findings were micronodules (n 5 209 [77%]), interlobular septal thickening (n 5 202 [75%]),and consolidation (n 5 120 [44%]). Cavitation was seen in 49 patients (18%). Among 209 with micronodules, the nodules were in the subpleural region (n 5 146 [70%]), peribronchovascular interstitium (n 5 113 [54%]), and centrilobular region (n 5 64 [31%]). PR occurred in 81 patients(26%), and patients with PR tended to be young, male, and without underlying disease ( P , .05 by t test, Pearson x 2 test). Subpleural micronodules were more common in patients with PR than in those without PR (Pearson x 2 , P 5 .025). CONCLUSIONS Pulmonary abnormalities are very common in pleural TB. Th e most common CT scan findings were micronodules in the subpleural and peribronchovascular interstitium and interlobular septal thickening, suggesting the lymphatic spread of TB. In addition, PR is not rare in patients with pleural TB, especially in young, previously healthy, male patients who show subpleural nodules on initial CT scans.
Collapse
Affiliation(s)
- Jeong Min Ko
- Department of Radiology, St. Vincent's Hospital, The Catholic University of Korea, Suwon-si, South Korea
| | - Hyun Jin Park
- Department of Radiology, St. Vincent's Hospital, The Catholic University of Korea, Suwon-si, South Korea.
| | - Chi Hong Kim
- Department of Internal Medicine, St. Vincent's Hospital, The Catholic University of Korea, Suwon-si, South Korea
| |
Collapse
|
25
|
Rubin GD. Computed tomography: revolutionizing the practice of medicine for 40 years. Radiology 2015; 273:S45-74. [PMID: 25340438 DOI: 10.1148/radiol.14141356] [Citation(s) in RCA: 98] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Computed tomography (CT) has had a profound effect on the practice of medicine. Both the spectrum of clinical applications and the role that CT has played in enhancing the depth of our understanding of disease have been profound. Although almost 90 000 articles on CT have been published in peer-reviewed journals over the past 40 years, fewer than 5% of these have been published in Radiology. Nevertheless, these almost 4000 articles have provided a basis for many important medical advances. By enabling a deepened understanding of anatomy, physiology, and pathology, CT has facilitated key advances in the detection and management of disease. This article celebrates this breadth of scientific discovery and development by examining the impact that CT has had on the diagnosis, characterization, and management of a sampling of major health challenges, including stroke, vascular diseases, cancer, trauma, acute abdominal pain, and diffuse lung diseases, as related to key technical advances in CT and manifested in Radiology.
Collapse
Affiliation(s)
- Geoffrey D Rubin
- From the Duke Clinical Research Institute and Department of Radiology, Duke University School of Medicine, PO Box 17969, 2400 Pratt St, Durham, NC 27715
| |
Collapse
|
26
|
Bandyopadhyay S, Henne E, Gupta A, Barry R, Snell G, Strange C, Herth FJF. Segmental approach to lung volume reduction therapy for emphysema patients. ACTA ACUST UNITED AC 2014; 89:76-81. [PMID: 25500669 DOI: 10.1159/000369036] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2014] [Accepted: 09/22/2014] [Indexed: 11/19/2022]
Abstract
Emphysema is often distributed heterogeneously throughout the lungs, even at the segmental level. It is important for interventional lung volume reduction therapies to target and treat the most diseased regions of the lung while preserving the less diseased functional regions. Identification and determination of the severity of emphysema can be done using the various quantification measures reviewed in this article. However, all of these measures are similar in what they quantify and are equally good indicators of emphysema. The tissue/air ratio was chosen for our purposes. Software capable of quantifying emphysema severity at the segmental level exists, and can be utilized to identify the most diseased segments while following anatomical boundaries. The segmental heterogeneity index is a new measure being introduced to help quantify differences in emphysema severity at the segmental level. The goal of segmental targeting is to improve efficacy and safety outcomes of vapor ablation patients. The Sequential Staged Treatment of Emphysema with Upper Lobe Predominance (STEP-UP, NCT01719263) trial is currently enrolling patients with upper lobe heterogeneous emphysema using these techniques.
Collapse
|
27
|
Izumiyama T, Hama H, Miura M, Hatakeyama A, Suzuki Y, Sawai T, Saito T. Frequency of broncho-bronchiolar disease in rheumatoid arthritis: an examination by high-resolution computed tomography. Mod Rheumatol 2014; 12:311-7. [PMID: 24383998 DOI: 10.3109/s101650200055] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Abstract To assess the frequency of pulmonary changes in patients with rheumatoid arthritis (RA), we evaluated a subject group (all outpatients with RA visiting the hospital during a period of three consecutive days) by plain chest radiographs (CRs) and high-resolution computed tomography (HRCT). The study population consisted of 186 patients (32 men, 154 women; mean age 59.8 years), including 6 smokers or exsmokers. Chest radiography was performed on all patients. Seventy (Group A) patients demonstrated abnormal findings and 116 (Group B) did not. HRCT scans were performed on 69 of Group A and 54 of Group B. HRCT demonstrated centrilobular micronodules (n = 29; 23.6%), septal lines (n = 24; 19.5%), subpleural curvilinear shadows (n = 24; 19.5%), bronchiectasis (n = 21; 17.1%), dependent opacity (n = 14; 11.4%), nodules (n = 12; 9.8%), and honeycombing (n = 11; 8.9%). Ten (34%) of the patients with centrilobular micronodules also had bronchiectasis. The most frequent disorder was broncho-bronchiolar disease. Contrary to the CRs finding of no abnormality, HRCT detected pulmonary pathological findings in 40 of 54 patients (74.1%). Pulmonary diseases may be frequently latent, and HRCT is useful in evaluating them in patients with RA.
Collapse
Affiliation(s)
- T Izumiyama
- Division of Arthritis and Connective Tissue Diseases, Labour Welfare Corporation , Tohoku Rousai Hospital, 4-3-21 Dainohara, Aoba-ku, Sendai 981-8563 , Japan
| | | | | | | | | | | | | |
Collapse
|
28
|
Multidetector Computed Tomographic Imaging in Chronic Obstructive Pulmonary Disease. Radiol Clin North Am 2014; 52:137-54. [DOI: 10.1016/j.rcl.2013.09.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
|
29
|
PATHOLOGIE INFECTIEUSE. IMAGERIE THORACIQUE 2013. [PMCID: PMC7156015 DOI: 10.1016/b978-2-294-71321-7.50016-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
|
30
|
Mimics in chest disease: interstitial opacities. Insights Imaging 2012; 4:9-27. [PMID: 23247773 PMCID: PMC3579994 DOI: 10.1007/s13244-012-0207-7] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2012] [Revised: 10/01/2012] [Accepted: 11/16/2012] [Indexed: 12/19/2022] Open
Abstract
Septal, reticular, nodular, reticulonodular, ground-glass, crazy paving, cystic, ground-glass with reticular, cystic with ground-glass, decreased and mosaic attenuation pattern characterise interstitial lung diseases on high-resolution computed tomography (HRCT). Occasionally different entities mimic each other, either because they share identical HRCT findings or because of superimposition of patterns. Idiopathic pulmonary fibrosis (IPF), fibrosis associated with connective tissue disease, asbestosis, end-stage sarcoidosis or chronic hypersensitivity pneumonitis (HP) may present with lower zone, subpleural reticular pattern associated with honeycombing. Lymphangiomyomatosis may be indistinguishable from histiocytosis or extensive emphysema. Both pulmonary oedema and lymphangitic carcinomatosis may be characterised by septal pattern resulting from thickened interlobular septa. Ill-defined centrilobular nodular pattern may be identically present in HP and respiratory bronchiolitis–associated with interstitial lung disease (RBILD). Sarcoidosis may mimic miliary tuberculosis or haematogenous metastases presenting with miliary pattern, while endobronchial spread of tuberculosis may be indistinguishable from panbronchiolitis, both presenting with tree-in-bud pattern. Atypical infection presenting with ground-glass mimics haemorrhage. Ground-glass pattern with minimal reticulation is seen in desquamative interstitial pneumonia (DIP), RBILD and non-specific interstitial pneumonia (NSIP). Obliterative bronchiolitis and panlobular emphysema may present with decreased attenuation pattern, while obliterative bronchiolitis, chronic pulmonary embolism and HP may manifest with mosaic attenuation pattern. Various mimics in interstitial lung diseases exist. Differential diagnosis is narrowed based on integration of predominant HRCT pattern and clinical history. Teaching Points • To learn about the different HRCT patterns, which are related to interstitial lung diseases. • To be familiar with the more “classical” entities presenting with each HRCT pattern. • To discuss possible overlap of different HRCT patterns and the more common mimics in each case. • To learn about some clues that help differentiate the various diagnostic mimics on HRCT.
Collapse
|
31
|
Takahashi M, Yamada G, Koba H, Takahashi H. Classification of Centrilobular Emphysema Based on CT-Pathologic Correlations. Open Respir Med J 2012; 6:155-9. [PMID: 23264837 PMCID: PMC3527991 DOI: 10.2174/1874306401206010155] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2012] [Revised: 11/22/2012] [Accepted: 11/26/2012] [Indexed: 11/29/2022] Open
Abstract
Introduction: Centrilobular emphysema (CLE) is recognized as low attenuation areas (LAA) with centrilobular distribution on high-resolution computed tomography. The LAA often exhibit a variety of shape or sharpness of border. This study was performed to elucidate the relationship between morphological features of LAA and pathological findings in CLE. Materials and Methods: The inflated-fixed lungs from 50 patients with CLE (42 males, 8 females; 14 operated, 36 autopsied) were examined by a method of CT-pathologic correlations that consisted of three steps. The first, CT images of the sliced lungs of the inflated-fixed lung specimens were examined on the shape and the peripheral border of each LAA. The second, the sliced lungs were radiographed in contact with high magnification. The third, the surface of the sliced lungs was observed by using stereomicroscopy. The views at low magnification of stereomicroscope were compared with the radiographs and the CT images of the same sample. Results: Using CT-pathologic correlations, LAAs of CLE were classified into three types as follows; round or oval shape with well-defined border (Type A), polygonal or irregular shape with ill-defined border and less than 5 mm in diameter (Type B), and irregular shape with ill-defined border and 5 mm or over in diameter (Type C). Type A, Type B and Type C LAA were mainly related to dilatation of bronchioles, destruction of proximal part of alveolar ducts, and destruction of distal part of alveolar ducts, respectively. Type A, Type B and Type C were dominant LAA in 5 (10%), 29 (58%) and 12 (24%) patients, respectively. However, remained 4 patients (8%) did not show dominant LAA type. Conclusion: Morphological features of LAA in CLE may depend on dilatation or destruction of certain parts of the secondary lobule. Type B LAA was the commonest type in CLE.
Collapse
Affiliation(s)
- Mamoru Takahashi
- Third Department of Internal Medicine, Sapporo Medical University, School of Medicine, South-1 West-16, Chuo-ku, Sapporo 060-8543, Japan ; Department of Respirology, NTT East Corporation Sapporo Hospital, South-1 West-15, Chuo-ku, Sapporo 060-0061, Japan
| | | | | | | |
Collapse
|
32
|
Gomi T, Nakajima M, Fujiwara H, Takeda T, Saito K, Umeda T, Sakaguchi K. Comparison between chest digital tomosynthesis and CT as a screening method to detect artificial pulmonary nodules: a phantom study. Br J Radiol 2012; 85:e622-9. [PMID: 22422390 DOI: 10.1259/bjr/12643098] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVES The objective of this study was to evaluate the imaging capabilities of chest digital tomosynthesis (DT) as a screening method for the detection of artificial pulmonary nodules, and to compare its efficiency with that of CT. METHODS DT and CT were used to detect artificial pulmonary nodules (5 mm and 8 mm in diameter, ground-glass opacities) placed in a chest phantom. Using a three-dimensional filtered back-projection algorithm at acquisition angles of 8°, 20°, 30° and 40°, DT images of the desired layer thicknesses were reconstructed from the image data acquired during a single tomographic scan. Both standard and sharp CT reconstruction kernels were used, and the detectability index (DI) valves computed for both the DT scan acquisition angles and CT reconstruction kernel types were considered. For the observer study, we examined 50 samples of artificial pulmonary nodules using both DT and CT imaging. On the basis of evaluations made by five thoracic radiologists, a jackknife free-response receiver operating characteristic (JAFROC) study was performed to compare and assess the differences in detection accuracy between CT and DT imaging. RESULTS For each increased acquisition angle, DI obtained by DT imaging was similar to that obtained by CT imaging. The difference in the observer-averaged JAFROC figure of merit for the five readings was 0.0363 (95% confidence interval: -0.18, 0.26; F=0.101; p=0.75). CONCLUSION With the advantages of a decreased radiation dose and the practical accessibility of examination, DT may be a useful alternative to CT for the detection of artificial pulmonary nodules.
Collapse
Affiliation(s)
- T Gomi
- School of Allied Health Sciences, Kitasato University, Sagamihara, Kanagawa, Japan.
| | | | | | | | | | | | | |
Collapse
|
33
|
|
34
|
|
35
|
Silva CIS, Marchiori E, Souza Júnior AS, Müller NL. Illustrated Brazilian consensus of terms and fundamental patterns in chest CT scans. J Bras Pneumol 2010; 36:99-123. [PMID: 20209314 DOI: 10.1590/s1806-37132010000100016] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2009] [Accepted: 07/17/2009] [Indexed: 01/15/2023] Open
Abstract
The objective of this new Brazilian consensus is to update and to continue the standardization of the principal terms and fundamental patterns in chest CT scans in Portuguese. There is a succinct definition of the principal terms used to describe chest CT findings, as well as illustrations of classic examples. The group of authors comprised radiologists specializing in chest radiology and holding membership in the Brazilian College of Radiology and Diagnostic Imaging, as well as pulmonologists having a special interest in diagnostic imaging and holding membership in the Brazilian Thoracic Association.
Collapse
Affiliation(s)
- C Isabela S Silva
- Department of Radiology, University of British Columbia, Vancouver, Canada.
| | | | | | | | | |
Collapse
|
36
|
Multidetector high-resolution computed tomography of the lungs: protocols and applications. J Thorac Imaging 2010; 25:125-41. [PMID: 20463532 DOI: 10.1097/rti.0b013e3181d9ca37] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Advances in computed tomography (CT) scanner technology have made isotropic volumetric, multiplanar high-resolution lung imaging possible in a single breath-hold, a significant advance over the incremental high-resolution CT (HRCT) technique in which noncontiguous images sampled the lung, but lacked anatomic continuity. HRCT of the lungs is an established imaging technique for the diagnosis and management of interstitial lung disease, emphysema, and small airway disease, providing a noninvasive detailed evaluation of the lung parenchyma, and providing information about the lungs as a whole and focally. In addition to having a high degree of specificity for diagnosing conditions such as emphysema, sarcoidosis, usual interstitial pneumonitis, Langerhans cell histiocytosis, and small airway disease, there is a growing body of medical evidence to support the use of HRCT findings or diagnosis to predict patient prognosis. In this article, we review the technique, advantages, and clinical applications of the current HRCT technique.
Collapse
|
37
|
Prakash P, Kalra MK, Ackman JB, Digumarthy SR, Hsieh J, Do S, Shepard JAO, Gilman MD. Diffuse lung disease: CT of the chest with adaptive statistical iterative reconstruction technique. Radiology 2010; 256:261-9. [PMID: 20574099 DOI: 10.1148/radiol.10091487] [Citation(s) in RCA: 140] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSE To compare visualization of subtle normal and abnormal findings at computed tomography (CT) of the chest for diffuse lung disease with images reconstructed with filtered back projection and adaptive statistical iterative reconstruction (ASIR) techniques. MATERIALS AND METHODS In this HIPAA-compliant, institutional review board-approved study, 24 patients underwent 64-section multi-detector row CT of the chest for evaluation of diffuse lung disease. Scanning parameters included a pitch of 0.984:1 and 120 kVp in thin-section mode, with 2496 views per rotation compared with 984 views acquired for normal mode. The 0.625-mm-thick images were reconstructed with filtered back projection, ASIR, and ASIR high-definition (ASIR-HD) kernels. Two thoracic radiologists independently assessed the filtered back projection, ASIR, and ASIR-HD images for small anatomic details (interlobular septa, centrilobular region, and small bronchi and bronchioles), abnormal findings (reticulation, tiny nodules, altered attenuation, bronchiectasis), image quality (graded by using a six-point scale, where 1 = excellent image quality, and 5 = interpretation impossible), image noise, and artifacts. Data were tabulated for statistical testing. RESULTS For visualization of normal and pathologic structures, CT image series reconstructed with ASIR-HD were rated substantially better than those reconstructed with filtered back projection and ASIR (P < .001). ASIR-HD images were superior to filtered back projection images in 15 of 24 (62%) patients for visualization of normal structures and in 24 of 24 (100%) patients for pathologic findings. ASIR-HD was superior to ASIR in three of 24 (12%) images for normal anatomic findings and in seven of 24 (29%) images for pathologic evaluation. None of the images in the three groups were rated as unacceptable for noise (P < .001). CONCLUSION ASIR-HD reconstruction results in superior visualization of subtle and tiny anatomic structures and lesions in diffuse lung disease compared with ASIR and filtered back projection reconstructions.
Collapse
Affiliation(s)
- Priyanka Prakash
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 4th Floor, Boston, MA 02114, USA
| | | | | | | | | | | | | | | |
Collapse
|
38
|
Zhang L, Yankelevitz DF, Henschke CI, Reeves AP, Vazquez MF, Carter D. Variation in vascular distribution in small lung cancers. Lung Cancer 2010; 68:389-93. [DOI: 10.1016/j.lungcan.2009.07.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2009] [Revised: 06/23/2009] [Accepted: 07/07/2009] [Indexed: 10/20/2022]
|
39
|
Abstract
Chronic obstructive pulmonary disease is defined as a preventable and treatable disease state characterized by airflow limitation that is not fully reversible. This review will discuss the relevant anatomy of the secondary pulmonary lobule, the subtypes of emphysema, and their imaging appearances and corresponding pathologic findings.
Collapse
|
40
|
Abstract
Emerging treatments require appropriate CT targeting of a selected lobe or lobes and target airways to obtain a successful response. CT scan is used in pretreatment planning to select patients and plan treatment strategy and posttreatment to confirm correct deployment of devices and assess treatment response. Increasingly treatments are being developed to treat patients who have emphysema who require accurate quantitation of extent and distribution of the process. Functional assessment can be made by inference of detailed anatomic correlates and by direct measurement of regional function using dynamic scan protocols. This article summarizes the current role of imaging in the assessment of patients who have emphysema.
Collapse
Affiliation(s)
- Jonathan G Goldin
- Department of Radiology, Thoracic Imaging Research Group, David Geffen School of Medicine at UCLA, 924 Westwood Boulevard, Suite #650, Los Angeles, CA 90024, USA.
| | | |
Collapse
|
41
|
Vanishing Lung Syndrome (Giant Bullous Emphysema): CT Findings in 7 Patients and a Literature Review. J Thorac Imaging 2009; 24:227-30. [DOI: 10.1097/rti.0b013e31819b9f2a] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
42
|
|
43
|
Klusmann M, Owens C. HRCT in paediatric diffuse interstitial lung disease--a review for 2009. Pediatr Radiol 2009; 39 Suppl 3:471-81. [PMID: 19440768 DOI: 10.1007/s00247-009-1200-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Maria Klusmann
- Radiology Department, Great Ormond Street Hospital for Children, Great Ormond Street, London, UK.
| | | |
Collapse
|
44
|
Computed tomographic assessment of the posterior junction line and its association with emphysema. J Comput Assist Tomogr 2009; 33:238-41. [PMID: 19346852 DOI: 10.1097/rct.0b013e318177e1d3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Visualization of a posterior junction line (PJL) on chest x-ray is evidence for emphysema. The correlation between the assessment of the PJL on computed tomography (CT) and emphysema is less clear. METHODS One hundred thirty-seven patients were identified with CT and pulmonary function tests (PFTs) performed within 3 months of each other in a University hospital. The width of the PJL was measured at 2 levels by a blinded investigator: superiorly at the superior border of the aorta and inferiorly 2 cm below the aortic arch. This was correlated to clinical and PFT data and to CT evidence of emphysema. RESULTS Narrowness of the junction line showed poor correlation with PFT findings of emphysema as assessed by forced expiratory volume in 1 second-forced vital capacity ratio and diffusing capacity of the lung for carbon monoxide percent predicted. The PJL also correlated weakly to CT emphysema severity scoring (r = 0.06; P < 0.002). The area under the receiver operator characteristic curve was 0.652, with maximum accuracy at a width of 1.3 cm. CONCLUSIONS Our data suggest that despite statistical correlation between the narrowness of the PJL and emphysema, its clinical use is limited.
Collapse
|
45
|
|
46
|
CT of pulmonary emphysema - current status, challenges, and future directions. Eur Radiol 2008; 19:537-51. [DOI: 10.1007/s00330-008-1186-4] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2008] [Revised: 07/16/2008] [Accepted: 08/15/2008] [Indexed: 10/21/2022]
|
47
|
Takahashi M, Fukuoka J, Nitta N, Takazakura R, Nagatani Y, Murakami Y, Otani H, Murata K. Imaging of pulmonary emphysema: a pictorial review. Int J Chron Obstruct Pulmon Dis 2008; 3:193-204. [PMID: 18686729 PMCID: PMC2629965 DOI: 10.2147/copd.s2639] [Citation(s) in RCA: 63] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
The term 'emphysema' is generally used in a morphological sense, and therefore imaging modalities have an important role in diagnosing this disease. In particular, high resolution computed tomography (HRCT) is a reliable tool for demonstrating the pathology of emphysema, even in subtle changes within secondary pulmonary lobules. Generally, pulmonary emphysema is classified into three types related to the lobular anatomy: centrilobular emphysema, panlobular emphysema, and paraseptal emphysema. In this pictorial review, we discuss the radiological--pathological correlation in each type of pulmonary emphysema. HRCT of early centrilobular emphysema shows an evenly distributed centrilobular tiny areas of low attenuation with ill-defined borders. With enlargement of the dilated airspace, the surrounding lung parenchyma is compressed, which enables observation of a clear border between the emphysematous area and the normal lung. Because the disease progresses from the centrilobular portion, normal lung parenchyma in the perilobular portion tends to be preserved, even in a case of far-advanced pulmonary emphysema. In panlobular emphysema, HRCT shows either panlobular low attenuation or ill-defined diffuse low attenuation of the lung. Paraseptal emphysema is characterized by subpleural well-defined cystic spaces. Recent topics related to imaging of pulmonary emphysema will also be discussed, including morphometry of the airway in cases of chronic obstructive pulmonary disease, combined pulmonary fibrosis and pulmonary emphysema, and bronchogenic carcinoma associated with bullous lung disease.
Collapse
Affiliation(s)
- Masashi Takahashi
- Department of Radiology, Shiga University of Medical Science, Seta-Tsukinowa, Otsu, Shiga 520-2192, Japan.
| | | | | | | | | | | | | | | |
Collapse
|
48
|
Hansell DM, Bankier AA, MacMahon H, McLoud TC, Müller NL, Remy J. Fleischner Society: Glossary of Terms for Thoracic Imaging. Radiology 2008; 246:697-722. [DOI: 10.1148/radiol.2462070712] [Citation(s) in RCA: 2674] [Impact Index Per Article: 167.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|
49
|
|
50
|
Silicoproteinosis: high-resolution CT findings in 13 patients. AJR Am J Roentgenol 2007; 189:1402-6. [PMID: 18029877 DOI: 10.2214/ajr.07.2402] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
OBJECTIVE The purpose of this study was to evaluate the high-resolution CT findings of silicoproteinosis. CONCLUSION Silicoproteinosis usually manifests as bilateral consolidation in the posterior portions of the lungs and as numerous centrilobular nodules. Calcification within areas of consolidation is a common finding.
Collapse
|