101
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Yang DW, Zhang Y, Hong QY, Hu J, Li C, Pan BS, Wang Q, Ding FH, Ou JX, Liu FL, Zhang D, Zhou JB, Song YL, Bai CX. Role of a serum-based biomarker panel in the early diagnosis of lung cancer for a cohort of high-risk patients. Cancer 2015; 121 Suppl 17:3113-21. [PMID: 26331818 DOI: 10.1002/cncr.29551] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2015] [Revised: 06/08/2015] [Accepted: 06/10/2015] [Indexed: 11/07/2022]
Abstract
BACKGROUND This study applied a combined cancer biomarker panel to clinically identify small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) in a high-risk population. METHODS The serum levels of 4 biomarkers (progastrin-releasing peptide [ProGRP], carcinoembryonic antigen [CEA], squamous cell carcinoma antigen [SCC], and cytokeratin 19 fragment [CYFRA21-1]) were determined in 153 patients with a high risk of lung cancer (12 with a new diagnosis of SCLC, 52 with NSCLC, and 89 without lung cancer). Information about diagnosis delays was collected through interviews of all participants. RESULTS Significantly higher serum levels of ProGRP (P < .0001) were found among the SCLC patients versus the rest of the population. A receiver operating characteristic curve analysis established the cutoff values of ProGRP, CEA, SCC, and CYFRA21-1 as 300 pg/mL, 7.3 ng/mL, 3 ng/mL, and 6.5 ng/mL, respectively. The sensitivity and specificity of ProGRP in diagnosing SCLC were 75% and 100%, respectively. Among the 14 lung cancer patients with a false-negative computed tomography (CT) result, the diagnostic panel detected 8 additional cancers. CONCLUSIONS This panel increased the diagnostic specificity for high-risk subjects (those with renal failure being excluded), and auxiliary to a CT scan, it increased the sensitivity for patients with lung cancer. These results might be applied to shorten the diagnosis delay at health care institutions in China.
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Affiliation(s)
- Da-Wei Yang
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Respiratory Research Institute, Shanghai, China
| | - Yong Zhang
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Respiratory Research Institute, Shanghai, China
| | - Qun-Ying Hong
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Respiratory Research Institute, Shanghai, China
| | - Jie Hu
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Respiratory Research Institute, Shanghai, China
| | - Chun Li
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Respiratory Research Institute, Shanghai, China
| | - Bai-Shen Pan
- Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qun Wang
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Fei-Hong Ding
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jia-Xian Ou
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Fang-Lei Liu
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Dan Zhang
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jie-Bai Zhou
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yuan-Lin Song
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Respiratory Research Institute, Shanghai, China
| | - Chun-Xue Bai
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.,Shanghai Respiratory Research Institute, Shanghai, China.,State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
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Computed tomography screening for lung cancer: preliminary results in a diverse urban population. J Thorac Imaging 2015; 30:157-63. [PMID: 25532712 DOI: 10.1097/rti.0000000000000123] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
PURPOSE The purpose of this study was to describe the baseline characteristics and results of the initial 18 months of our clinical computed tomography (CT) lung cancer screening program in an ethnically diverse, poor, predominantly overweight, and obese population, which differs dramatically from the National Lung Screening Trial population. MATERIALS AND METHODS All patients had a physician referral for CT lung cancer screening and met National Lung Screening Trial eligibility criteria. Infrastructure developed for the program included a standardized results report [Bronx score of 1 to 5 (modeled on BI-RADS)] for the electronic medical record and a dedicated bilingual screening coordinator. If the patient's insurance did not cover CT screening, a fee of $75 was charged. RESULTS A total of 320 patients [54% (174) men, mean age 64 y] underwent initial CT lung cancer screening from December 18, 2012 to July 3, 2014. The median pack-years was 47, and 68% (218) were current smokers. Twenty-six percent (84) were white, and 70% (223) were overweight (101) or obese (122). The lung cancer prevalence was 2.2% (7/320). Seventy-eight percent (7/9) of patients with CT findings positive for lung cancer (score 5a, 5b) had proven lung cancer; 1 had stage 1 (1B) disease, and 6 had stage IIA or higher disease. The false-positive rate for a Bronx score ≥3 was 19% (60). Medicare and Medicaid insure 80% of the institution's overall population but only 38% (121) of the CT screening patients. CONCLUSIONS CT screening is feasible in a diverse inner-city population with the support of a robust infrastructure. Further study is needed to determine whether CT screening will confer a mortality benefit in this population.
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Abstract
Screening for lung cancer in high-risk individuals with annual low-dose computed tomography has been shown to reduce lung cancer mortality by 20% and is recommended by multiple health care organizations. Lung cancer screening is not a specific test; it is a process that involves appropriate selection of high-risk individuals, careful interpretation and follow-up of imaging, and annual testing. Screening should be performed in the context of a multidisciplinary program experienced in the diagnosis and management of lung nodules and early-stage lung cancer.
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Affiliation(s)
- Mark E Deffebach
- Division of Hospital and Specialty Medicine, Pulmonary and Critical Care Medicine, Portland VA Health Care System, P3PULM, 3710 Southwest US Veterans Hospital Road, Portland, OR 97201, USA; Department of Medicine, Oregon Health and Science University, Portland, OR 97239, USA.
| | - Linda Humphrey
- Department of Medicine, Oregon Health and Science University, Portland, OR 97239, USA; Division of Hospital and Specialty Medicine, Portland VA Health Care System, P3PULM, 3710 Southwest US Veterans Hospital Road, Portland, OR 97201, USA
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104
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Toghiani A, Adibi A, Taghavi A. Significance of pulmonary nodules in multi-detector computed tomography scan of noncancerous patients. JOURNAL OF RESEARCH IN MEDICAL SCIENCES 2015; 20:460-4. [PMID: 26487874 PMCID: PMC4590200 DOI: 10.4103/1735-1995.163967] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Background: Computed tomography (CT) scan is one the most useful devices in chest imaging. CT scan can be used in mediastinal abnormality, lungs, and pleural evaluations. According to the high prevalence and different causes of pulmonary nodules, we designed this study to evaluate the prevalence and the types of pulmonary nodules in noncancerous patients who underwent chest multi-detector CT (MDCT) scan. Materials and Methods: This was a cross-sectional study which was in our hospital to evaluate the prevalence of pulmonary nodules in noncancerous patients who underwent MDCT. A checklist was used for data collection containing number, location, size, and shape of pulmonary nodules if present in CT scan, and we also included patient's age and history of smoking. We analyzed the data with Statistical Program for Social Sciences software (version 18). Results: In this study, 115 patients (40%) had a pulmonary nodule. The mean number of a total nodule in each patient was 0.8 ± 0.07. Mean number of intra-parenchymal, sub pleural, and perivascular nodules were 0.34 ± 0.04, 0.31 ± 0.04, and 0.14 ± 0.02, respectively. The mean number of calcified nodules was 0.13 ± 0.02. There was no significant correlation between age and nodule characteristics (P > 0.05). Conclusion: The prevalence of pulmonary nodules was quite frequent in MDCT scan of noncancerous cases. So, it should not be overvalued in noncancerous cases.
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Affiliation(s)
- Ali Toghiani
- Young Researchers and Elite Club, Islamic Azad University, Najafabad Branch, Isfahan, Iran
| | - Atoosa Adibi
- Department of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Arash Taghavi
- Department of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran
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105
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Poyraz N, Emlik GD, Keskin S, Kalkan H. Incidental Breast Lesions Detected on Computed Thorax Tomography. THE JOURNAL OF BREAST HEALTH 2015; 11:163-167. [PMID: 28331715 DOI: 10.5152/tjbh.2015.2656] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Accepted: 08/02/2015] [Indexed: 11/22/2022]
Abstract
OBJECTIVE Although mammography is the primary imaging method of the breast, incidental benign and malignant breast lesions are increasingly being detected on computed tomographies (CTs) performed to detect different pathologies. Therefore, the detection and accurate identification of these lesions is important. In this study, we aimed to evaluate the frequency, morphological features, and results of incidental breast lesions on CTs performed for the detection of extramammarian pathologies. MATERIALS AND METHODS Incidental breast lesions on CTs performed in our department between 2011 and 2013 were evaluated. Patients who had previously diagnosed breast lesions were excluded from the study. The inclusion criteria were histopathologic diagnose and being followed-up for at least 2 years. RESULTS The study population consisted of 33 women whose mean age was 55±1.38 (37-78) years. Of the 33 women, 12 (36%) had malignant and 21 (64%) had benign or normal findings. The most common malignant lesion was invasive ductal carcinoma, and the most common benign lesion was fibroadenoma. Ill-defined contour and lymphadenopathy in malignant lesions and well-defined contour in benign lesions were the most important CT findings. CONCLUSION Breast must be carefully evaluated if it is included in the scans. An accurate report of breast lesions gives an opportunity for early diagnosis and treatment.
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Affiliation(s)
- Necdet Poyraz
- Department of Radiology, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Turkey
| | - Ganime Dilek Emlik
- Department of Radiology, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Turkey
| | - Suat Keskin
- Department of Radiology, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Turkey
| | - Havva Kalkan
- Department of Radiology, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Turkey
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García Vicente AM, Pérez-García VM, Soriano Castrejón Á. (18)F-fluorodeoxyglucose positron emission tomography/computed tomography characterization of solitary pulmonary nodules: can we do better? J Thorac Dis 2015; 7:E215-8. [PMID: 26380781 DOI: 10.3978/j.issn.2072-1439.2015.08.24] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Accepted: 08/19/2015] [Indexed: 11/14/2022]
Affiliation(s)
- Ana María García Vicente
- 1 Nuclear Medicine Department, University General Hospital, Ciudad Real, Spain ; 2 Laboratory of Mathematical Oncology, Institute for Applied Mathematics in Science and Engineering, Castilla-La Mancha University, Ciudad Real, Spain
| | - Víctor M Pérez-García
- 1 Nuclear Medicine Department, University General Hospital, Ciudad Real, Spain ; 2 Laboratory of Mathematical Oncology, Institute for Applied Mathematics in Science and Engineering, Castilla-La Mancha University, Ciudad Real, Spain
| | - Ángel Soriano Castrejón
- 1 Nuclear Medicine Department, University General Hospital, Ciudad Real, Spain ; 2 Laboratory of Mathematical Oncology, Institute for Applied Mathematics in Science and Engineering, Castilla-La Mancha University, Ciudad Real, Spain
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107
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Puggina A, Broumas A, Ricciardi W, Boccia S. Cost-effectiveness of screening for lung cancer with low-dose computed tomography: a systematic literature review. Eur J Public Health 2015; 26:168-75. [PMID: 26370440 DOI: 10.1093/eurpub/ckv158] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND On 31 December 2013, the US Preventive Services Task Force rated low-dose computed tomography (LDCT) for lung cancer screening as level 'B' recommendation. Yet, lung cancer screening implementation remains controversial, particularly when considering its cost-effectiveness. The aim of this work is to investigate the cost-effectiveness of LDCT screening program for lung cancer by performing a systematic literature review. METHODS We reviewed the published economic evaluations of LDCT in lung cancer screening. MEDLINE, ISI Web of Science and Cochrane databases were searched for literature retrieval up to 31 March 2015. Inclusion criteria included: studies reporting an original full economic evaluation; reports presenting the outcomes as Quality-Adjusted Life Years (QALYs) gained or as Life Years Gained. RESULTS Nine economic evaluations met the inclusion criteria. All the cost-effectiveness analyses included high risk populations for lung cancer and compared the use of annual LDCT screening with no screening. Seven studies reported an incremental cost-effectiveness ratio below the threshold of US$ 100 000 per QALY gained. CONCLUSIONS Cost-effectiveness of LDCT screening for lung cancer is an highly debatable issue. Currently available economic evaluations suggest the cost-effectiveness of LDCT for lung cancer screening compared with no screening and indicate that the implementation of LDCT should be considered when planning a national lung cancer screening program. Additional economic evaluations, especially from a societal perspective and in an EU-setting, are needed.
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Affiliation(s)
- Anna Puggina
- 1 Section of Hygiene, Institute of Public Health, Università Cattolica del Sacro Cuore, Rome, Italy
| | | | - Walter Ricciardi
- 1 Section of Hygiene, Institute of Public Health, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Stefania Boccia
- 1 Section of Hygiene, Institute of Public Health, Università Cattolica del Sacro Cuore, Rome, Italy
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108
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Szczęsny TJ, Kanarkiewicz M, Kowalewski J. Screening for lung cancer with chest computerized tomography: Is it cost efficient? World J Respirol 2015; 5:160-165. [DOI: 10.5320/wjr.v5.i2.160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2014] [Revised: 02/06/2015] [Accepted: 04/09/2015] [Indexed: 02/06/2023] Open
Abstract
Despite lung cancer (LC) screening by low-dose computerized tomography (LDCT) gaining many proponents worldwide, for many years it was not recognized as a life-prolonging and cost-effective procedure, until recently. Prospective observational studies had not been able to prove that this screening prolongs survival, but they helped to specify the inclusion and exclusion criteria. Long-awaited results of a prospective, randomized trial finally provided the evidence that LC screening with LDCT can prolong survival of the screened population. Several cost-effectiveness analyses were performed to justify mass introduction of this screening. Results of these analyses are equivocal, although conclusions highly depend upon inclusion and exclusion criteria, methods of analysis and prices of medical procedures which differ between countries as well as the incidence of other pulmonary nodules, especially tuberculosis. Therefore, cost-effectiveness analysis should be performed separately for every country. Cost-effectiveness depends especially upon the rate of false-positive results and the rate of unnecessary diagnostic, screening and treatment procedures. To ensure high cost-effectiveness, LC screening should be performed in accordance with screening protocol, in dedicated screening centers equipped with nodule volume change analysis, or as a prospective non-randomized trial, to ensure compliance with the inclusion and exclusion criteria. To ensure high cost-effectiveness of LC screening, future research should concentrate on determination of high-risk groups and further specifying the inclusion and exclusion criteria.
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109
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Cui JW, Li W, Han FJ, Liu YD. Screening for lung cancer using low-dose computed tomography: concerns about the application in low-risk individuals. Transl Lung Cancer Res 2015. [PMID: 26207215 DOI: 10.3978/j.issn.2218-6751.2015.02.05] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Low-dose computed tomography (LDCT) has been increasingly accepted as an efficient screening method for high-risk individuals to reduce lung cancer mortality. However, there remains a gap of knowledge in the practical implementation of screening on a larger scale, especially for low-risk individuals. The aim of this study is to initiate discussion through an evidence-based analysis and provide valuable suggestions on LDCT screening for lung cancer in clinical practice. Among previously published randomized controlled trials (RCTs), the National Lung Screening Trial (NLST) is the only one demonstrating positive results in a high-risk population of old age and heavy smokers. It is also shown that the potential harms include false-positive findings, radiation exposure etc., but its magnitude is uncertain. In the meantime, the current risk stratification system is inadequate, and is difficult to define selection criteria. Thus, the efficacy of LDCT in lung cancer screening needs to be confirmed in future trials, and the procedure should not be proposed to individuals without comparable risk to those in the NLST. Furthermore, there is a lack of evidence to support the expansion of LDCT screening to low-risk individuals. Therefore, recommendation of LDCT screening for these patients could be premature in clinical practice although some of them might be missed based on current definition of risk factors. Further studies and advances in risk assessment tools are urgently needed to address the concerns about lung cancer screening in order to improve the outcomes of lung cancer.
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Affiliation(s)
- Jiu-Wei Cui
- Cancer Center, The First Hospital of Jilin University, Changchun 130021, China
| | - Wei Li
- Cancer Center, The First Hospital of Jilin University, Changchun 130021, China
| | - Fu-Jun Han
- Cancer Center, The First Hospital of Jilin University, Changchun 130021, China
| | - Yu-Di Liu
- Cancer Center, The First Hospital of Jilin University, Changchun 130021, China
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110
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Birse CE, Lagier RJ, FitzHugh W, Pass HI, Rom WN, Edell ES, Bungum AO, Maldonado F, Jett JR, Mesri M, Sult E, Joseloff E, Li A, Heidbrink J, Dhariwal G, Danis C, Tomic JL, Bruce RJ, Moore PA, He T, Lewis ME, Ruben SM. Blood-based lung cancer biomarkers identified through proteomic discovery in cancer tissues, cell lines and conditioned medium. Clin Proteomics 2015; 12:18. [PMID: 26279647 PMCID: PMC4537594 DOI: 10.1186/s12014-015-9090-9] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2014] [Accepted: 07/07/2015] [Indexed: 12/18/2022] Open
Abstract
Background Support for early detection of lung cancer has emerged from the National Lung Screening Trial (NLST), in which low-dose computed tomography (LDCT) screening reduced lung cancer mortality by 20 % relative to chest x-ray. The US Preventive Services Task Force (USPSTF) recently recommended annual screening for the high-risk population, concluding that the benefits (life years gained) outweighed harms (false positive findings, abortive biopsy/surgery, radiation exposure). In making their recommendation, the USPSTF noted that the moderate net benefit of screening was dependent on the resolution of most false-positive results without invasive procedures. Circulating biomarkers may serve as a valuable adjunctive tool to imaging. Results We developed a broad-based proteomics discovery program, integrating liquid chromatography/mass spectrometry (LC/MS) analyses of freshly resected lung tumor specimens (n = 13), lung cancer cell lines (n = 17), and conditioned media collected from tumor cell lines (n = 7). To enrich for biomarkers likely to be found at elevated levels in the peripheral circulation of lung cancer patients, proteins were prioritized based on predicted subcellular localization (secreted, cell-membrane associated) and differential expression in disease samples. 179 candidate biomarkers were identified. Several markers selected for further validation showed elevated levels in serum collected from subjects with stage I NSCLC (n = 94), relative to healthy smoker controls (n = 189). An 8-marker model was developed (TFPI, MDK, OPN, MMP2, TIMP1, CEA, CYFRA 21–1, SCC) which accurately distinguished subjects with lung cancer (n = 50) from high risk smokers (n = 50) in an independent validation study (AUC = 0.775). Conclusions Integrating biomarker discovery from multiple sample types (fresh tissue, cell lines and conditioned medium) has resulted in a diverse repertoire of candidate biomarkers. This unique collection of biomarkers may have clinical utility in lung cancer detection and diagnoses. Electronic supplementary material The online version of this article (doi:10.1186/s12014-015-9090-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Charles E Birse
- Celera employees during the course of these studies, Celera, 1311 Harbor Bay Parkway, Alameda, CA 94502 USA
| | - Robert J Lagier
- Celera employees during the course of these studies, Celera, 1311 Harbor Bay Parkway, Alameda, CA 94502 USA
| | - William FitzHugh
- Celera employees during the course of these studies, Celera, 1311 Harbor Bay Parkway, Alameda, CA 94502 USA
| | - Harvey I Pass
- Department of Cardiothoracic Surgery, NYU Langone Medical Center, 530 First Avenue, New York, NY USA
| | - William N Rom
- Division of Pulmonary, Critical Care, and Sleep Medicine, NYU School of Medicine, New York, NY USA
| | - Eric S Edell
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN USA
| | - Aaron O Bungum
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN USA
| | - Fabien Maldonado
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN USA
| | - James R Jett
- Division of Oncology, National Jewish Health, Denver, CO USA
| | - Mehdi Mesri
- Celera employees during the course of these studies, Celera, 1311 Harbor Bay Parkway, Alameda, CA 94502 USA
| | - Erin Sult
- Celera employees during the course of these studies, Celera, 1311 Harbor Bay Parkway, Alameda, CA 94502 USA
| | - Elizabeth Joseloff
- Celera employees during the course of these studies, Celera, 1311 Harbor Bay Parkway, Alameda, CA 94502 USA
| | - Aiqun Li
- Celera employees during the course of these studies, Celera, 1311 Harbor Bay Parkway, Alameda, CA 94502 USA
| | - Jenny Heidbrink
- Celera employees during the course of these studies, Celera, 1311 Harbor Bay Parkway, Alameda, CA 94502 USA
| | - Gulshan Dhariwal
- Celera employees during the course of these studies, Celera, 1311 Harbor Bay Parkway, Alameda, CA 94502 USA
| | - Chad Danis
- Celera employees during the course of these studies, Celera, 1311 Harbor Bay Parkway, Alameda, CA 94502 USA
| | - Jennifer L Tomic
- Celera employees during the course of these studies, Celera, 1311 Harbor Bay Parkway, Alameda, CA 94502 USA
| | - Robert J Bruce
- Celera employees during the course of these studies, Celera, 1311 Harbor Bay Parkway, Alameda, CA 94502 USA
| | - Paul A Moore
- Celera employees during the course of these studies, Celera, 1311 Harbor Bay Parkway, Alameda, CA 94502 USA
| | - Tao He
- Celera employees during the course of these studies, Celera, 1311 Harbor Bay Parkway, Alameda, CA 94502 USA
| | - Marcia E Lewis
- Celera employees during the course of these studies, Celera, 1311 Harbor Bay Parkway, Alameda, CA 94502 USA
| | - Steve M Ruben
- Celera employees during the course of these studies, Celera, 1311 Harbor Bay Parkway, Alameda, CA 94502 USA
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Christensen JD, Chiles C. Low-Dose Computed Tomographic Screening for Lung Cancer. Clin Chest Med 2015; 36:147-60, vii. [DOI: 10.1016/j.ccm.2015.02.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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112
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What is the Significance of Indeterminate Pulmonary Nodules in Patients Undergoing Resection for Pancreatic Adenocarcinoma? J Gastrointest Surg 2015; 19:841-7. [PMID: 25595307 PMCID: PMC4454394 DOI: 10.1007/s11605-014-2740-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Accepted: 12/27/2014] [Indexed: 01/31/2023]
Abstract
OBJECTIVE The significance of indeterminate pulmonary nodules (IPNs) in patients undergoing resection of pancreatic ductal adenocarcinoma (PDAC) is unknown. We sought to define the prevalence and impact of IPN in such patients. METHODS We studied all patients who underwent surgical resection of PDAC between 1980 and 2013. IPN was defined as ≥1 well-defined lung nodule(s) less than 3 cm in diameter. Survival was assessed using univariate and multivariate Cox models. RESULTS Of the 2306 resected patients, 374 (16.2 %) had a preoperative chest computed tomography (CT) scan. Of these patients, 183 (49 %) had ≥1 IPN. Demographic and clinicopathological characteristics were similar among patients with or without IPN (all P>0.05). Median survival was comparable among patients who did (15.6 months) or did not (18.0 months) have IPN (P=0.66). Of the 183 patients with IPN, 29 (16 %) progressed to clinically recognizable metastatic lung disease compared to 13 % without IPN (P=0.38). The presence of >1 IPN was associated with the development of lung metastasis (relative risk 1.58, 95 % CI 1.03-2.4; P=0.05). However, lung metastasis was not associated with survival (P=0.24). CONCLUSIONS An IPN proved to be a lung metastasis in only one of six patients with PDAC undergoing surgical resection in this study. Survival was not impacted, even among patients who developed lung metastasis. Patients with PDAC who have IPN should not be precluded from surgical consideration.
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113
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Pastorino U, Silva M. Refining Strategies to Identify Populations to Be Screened for Lung Cancer. Thorac Surg Clin 2015; 25:217-21. [DOI: 10.1016/j.thorsurg.2014.11.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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114
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Bentsen L, Christensen A, Havsteen I, Hansen H, Ovesen C, Christensen H. Frequency of New Pulmonary Neoplasm Incidentally Detected by Computed Tomography Angiography in Acute Stroke Patients—A Single-Center Study. J Stroke Cerebrovasc Dis 2015; 24:1008-12. [DOI: 10.1016/j.jstrokecerebrovasdis.2014.12.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2014] [Revised: 12/16/2014] [Accepted: 12/20/2014] [Indexed: 12/16/2022] Open
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Abstract
The development of widespread lung cancer screening programs has the potential to dramatically increase the number of thoracic computed tomography (CT) examinations performed annually in the United States, resulting in a greater number of newly detected, indeterminate solitary pulmonary nodules (SPNs). Additional imaging studies, such as fluorodeoxyglucose F 18 (FDG)-positron emission tomography (PET), have been shown to provide valuable information in the assessment of indeterminate SPNs. Newer technologies, such as contrast-enhanced dual-energy chest CT and FDG-PET/CT, also have the potential to facilitate diagnosis of potentially malignant SPNs.
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116
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McWilliams A, Beigi P, Srinidhi A, Lam S, MacAulay CE. Sex and Smoking Status Effects on the Early Detection of Early Lung Cancer in High-Risk Smokers Using an Electronic Nose. IEEE Trans Biomed Eng 2015; 62:2044-54. [PMID: 25775482 DOI: 10.1109/tbme.2015.2409092] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVE Volatile organic compounds (VOCs) in exhaled breath as measured by electronic nose (e-nose) have utility as biomarkers to detect subjects at risk of having lung cancer in a screening setting. We hypothesize that breath analysis using an e-nose chemo-resistive sensor array could be used as a screening tool to discriminate patients diagnosed with lung cancer from high-risk smokers. METHODS Breath samples from 191 subjects-25 lung cancer patients and 166 high-risk smoker control subjects without cancer-were analyzed. For clinical relevancy, subjects in both groups were matched for age, sex, and smoking histories. Classification and regression trees and discriminant functions classifiers were used to recognize VOC patterns in e-nose data. Cross-validated results were used to assess classification accuracy. Repeatability and reproducibility of e-nose data were assessed by measuring subject-exhaled breath in parallel across two e-nose devices. RESULTS e-Nose measurements could distinguish lung cancer patients from high-risk control subjects, with a better than 80% classification accuracy. Subject sex and smoking status impacted classification as area under the curve results (ex-smoker males 0.846, ex-smoker female 0.816, current smoker male 0.745, and current smoker female 0.725) demonstrated. Two e-nose systems could be calibrated to give equivalent readings across subject-exhaled breath measured in parallel. CONCLUSIONS e-Nose technology may have significant utility as a noninvasive screening tool for detecting individuals at increased risk for lung cancer. SIGNIFICANCE The results presented further the case that VOC patterns could have real clinical utility to screen for lung cancer in the important growing ex-smoker population.
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Abstract
The National Lung Screening Trial was a large, multicenter, randomized controlled trial published in 2011. It found that annual screening with low-dose CT (LDCT) in a high-risk population was associated with a 20% reduction in lung cancer-specific mortality compared with conventional chest radiography. Several leading professional organizations have since put forth lung cancer screening guidelines that include the use of LDCT, largely on the basis of this study. Broad adoption of these screening recommendations, however, remains a challenge.
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Gillaspie EA, Allen MS. Computed tomographic screening for lung cancer: the Mayo Clinic experience. Thorac Surg Clin 2015; 25:121-7. [PMID: 25901556 DOI: 10.1016/j.thorsurg.2014.11.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The Mayo Clinic has been involved in screening for lung cancer since the lung cancer project in 1971. The Mayo Clinic recently completed a study of more than 1500 patients with low-dose computed tomographic (CT) screening for lung cancer. Results showed that more than 75% of patients in the screening program had a lung nodule but only a small percentage had lung cancer. As others have found, screening with low-dose CT finds patients with lung cancer at an earlier stage and hopefully will increase the cure rate.
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119
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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.
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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
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Warren WA, Markert RJ, Stewart ED. Pulmonary nodule tracking using chest computed tomography in a histoplasmosis endemic area. Clin Imaging 2014; 39:417-20. [PMID: 25438933 DOI: 10.1016/j.clinimag.2014.11.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2014] [Revised: 10/27/2014] [Accepted: 11/05/2014] [Indexed: 12/21/2022]
Abstract
OBJECTIVE In areas with endemic histoplasmosis, incidental pulmonary nodules are common. Rate of malignancy and applicability of current tracking guidelines in these regions remain unclear. METHODS A total of 148 cases of incidental pulmonary nodules tracked with chest computed tomography were reviewed for radiologic characteristics, diagnosis, number, and size. RESULTS Of the nodules, 87.8% were benign and 12.2% malignant; 30% of nodules >20mm were malignant. Number of nodules (P=.14) and granulomatous disease (P=.71) were not related to malignant diagnosis. CONCLUSION Malignancy was lower than expected in nodules >20mm. Appropriate tracking guidelines for incidentally discovered nodules in histoplasmosis endemic regions must be determined.
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Affiliation(s)
- Whittney A Warren
- Internal Medicine Residency, Boonshoft School of Medicine at WSU; Wright-Patterson Medical Center, Wright-Patterson Air Force Base.
| | - Ronald J Markert
- Internal Medicine Residency, Boonshoft School of Medicine at WSU
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Kousaka J, Nakano S, Ando T, Tetsuka R, Fujii K, Yoshida M, Shiomi-Mouri Y, Goto M, Imai Y, Imai T, Fukutomi T, Katsuda E, Ishiguchi T, Arai O. Targeted sonography using an image fusion technique for evaluation of incidentally detected breast lesions on chest CT: a pilot study. Breast Cancer 2014; 23:301-9. [PMID: 25373442 DOI: 10.1007/s12282-014-0574-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2014] [Accepted: 10/23/2014] [Indexed: 11/25/2022]
Abstract
BACKGROUND With increasing use of computed tomography (CT), incidentally detected breast lesions are being encountered more frequently. The aim of our study was to verify the utility of targeted sonography using an image fusion technique, real-time virtual sonography (RVS) that coordinates real-time sonography images with previously obtained CT images using a magnetic position tracking system, for evaluation of incidentally detected breast lesions on chest CT. METHODS Eleven lesions in 11 women with no history of breast cancer who were referred to our unit for assessment of breast lesions incidentally detected on CT were enrolled in this study. To assess the efficacy of targeted sonography using RVS, we analyzed the frequency of sonographic detection of incidentally detected breast lesions and the difference between sonography- and CT-determined diameters. RESULTS Using RVS guidance, all 11 lesions were sonographically detected. Ten (91 %) of 11 lesions underwent sonography-guided biopsy, yielding a success rate of 90 % (9/10). The remaining sonography-guided biopsy failure lesion required surgical biopsy for definitive diagnosis; this was performed after RVS was used to mark CT imaging information onto the breast surface. Four (36 %) lesions subsequently proved to be malignant. The mean diameters provided by RVS were 14.9 ± 6.7 mm for sonography and 16.8 ± 7.5 mm for CT (p = 0.538). CONCLUSION Using RVS, a sonographic probe was precisely guided to the lesions. Our results suggest that targeted sonography using RVS is a useful technique for identifying incidentally detected breast lesions on chest CT.
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MESH Headings
- Adult
- Aged
- Aged, 80 and over
- Breast Neoplasms/diagnostic imaging
- Breast Neoplasms/pathology
- Carcinoma, Ductal, Breast/diagnostic imaging
- Carcinoma, Ductal, Breast/pathology
- Carcinoma, Lobular/diagnostic imaging
- Carcinoma, Lobular/pathology
- Female
- Follow-Up Studies
- Humans
- Image-Guided Biopsy/methods
- Middle Aged
- Neoplasm Staging
- Prognosis
- Radiography, Thoracic/methods
- Retrospective Studies
- Tomography, X-Ray Computed/methods
- Ultrasonography, Interventional/methods
- Ultrasonography, Mammary/methods
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Affiliation(s)
- Junko Kousaka
- Division of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi, 480-1195, Japan
| | - Shogo Nakano
- Division of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi, 480-1195, Japan.
| | - Takahito Ando
- Division of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi, 480-1195, Japan
| | - Rie Tetsuka
- Division of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi, 480-1195, Japan
| | - Kimihito Fujii
- Division of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi, 480-1195, Japan
| | - Miwa Yoshida
- Division of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi, 480-1195, Japan
| | - Yukako Shiomi-Mouri
- Division of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi, 480-1195, Japan
| | - Manami Goto
- Division of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi, 480-1195, Japan
| | - Yuko Imai
- Division of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi, 480-1195, Japan
| | - Tsuneo Imai
- Division of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi, 480-1195, Japan
| | - Takashi Fukutomi
- Department of Breast Surgery, Tokyo Saiseikai Central Hospital, 1-4-17 Mita, Minatoku, Tokyo, 108-0073, Japan
| | - Eisuke Katsuda
- Department of Radiology, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi, 480-1195, Japan
| | - Tsuneo Ishiguchi
- Department of Radiology, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi, 480-1195, Japan
| | - Osamu Arai
- Medical Systems Engineering Division 2, R&D Section 2 Engineering, R&D Department 1, Hitachi Aloka Medical Ltd, 3-1-1 Higashikoigakubo, Kokubunji, Tokyo, 185-0014, Japan
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Gierada DS, Pinsky P, Nath H, Chiles C, Duan F, Aberle DR. Projected outcomes using different nodule sizes to define a positive CT lung cancer screening examination. J Natl Cancer Inst 2014; 106:dju284. [PMID: 25326638 PMCID: PMC4207860 DOI: 10.1093/jnci/dju284] [Citation(s) in RCA: 76] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2014] [Revised: 04/07/2014] [Accepted: 07/24/2014] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Computed tomography (CT) screening for lung cancer has been associated with a high frequency of false positive results because of the high prevalence of indeterminate but usually benign small pulmonary nodules. The acceptability of reducing false-positive rates and diagnostic evaluations by increasing the nodule size threshold for a positive screen depends on the projected balance between benefits and risks. METHODS We examined data from the National Lung Screening Trial (NLST) to estimate screening CT performance and outcomes for scans with nodules above the 4mm NLST threshold used to classify a CT screen as positive. Outcomes assessed included screening results, subsequent diagnostic tests performed, lung cancer histology and stage distribution, and lung cancer mortality. Sensitivity, specificity, positive predictive value, and negative predictive value were calculated for the different nodule size thresholds. All statistical tests were two-sided. RESULTS In 64% of positive screens (11598/18141), the largest nodule was 7 mm or less in greatest transverse diameter. By increasing the threshold, the percentages of lung cancer diagnoses that would have been missed or delayed and false positives that would have been avoided progressively increased, for example from 1.0% and 15.8% at a 5 mm threshold to 10.5% and 65.8% at an 8 mm threshold, respectively. The projected reductions in postscreening follow-up CT scans and invasive procedures also increased as the threshold was raised. Differences across nodules sizes for lung cancer histology and stage distribution were small but statistically significant. There were no differences across nodule sizes in survival or mortality. CONCLUSION Raising the nodule size threshold for a positive screen would substantially reduce false-positive CT screenings and medical resource utilization with a variable impact on screening outcomes.
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Affiliation(s)
- David S Gierada
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO (DSG); Division of Cancer Prevention, National Cancer Institute, Bethesda, MD (PP); University of Alabama at Birmingham, Birmingham, AL (HN); Wake Forest University Health Science Center, Winston-Salem, NC (CC); Center for Statistical Sciences and Department of Biostatistics, Brown University School of Public Health, Providence, RI (FD); Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA (DRA).
| | - Paul Pinsky
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO (DSG); Division of Cancer Prevention, National Cancer Institute, Bethesda, MD (PP); University of Alabama at Birmingham, Birmingham, AL (HN); Wake Forest University Health Science Center, Winston-Salem, NC (CC); Center for Statistical Sciences and Department of Biostatistics, Brown University School of Public Health, Providence, RI (FD); Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA (DRA)
| | - Hrudaya Nath
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO (DSG); Division of Cancer Prevention, National Cancer Institute, Bethesda, MD (PP); University of Alabama at Birmingham, Birmingham, AL (HN); Wake Forest University Health Science Center, Winston-Salem, NC (CC); Center for Statistical Sciences and Department of Biostatistics, Brown University School of Public Health, Providence, RI (FD); Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA (DRA)
| | - Caroline Chiles
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO (DSG); Division of Cancer Prevention, National Cancer Institute, Bethesda, MD (PP); University of Alabama at Birmingham, Birmingham, AL (HN); Wake Forest University Health Science Center, Winston-Salem, NC (CC); Center for Statistical Sciences and Department of Biostatistics, Brown University School of Public Health, Providence, RI (FD); Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA (DRA)
| | - Fenghai Duan
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO (DSG); Division of Cancer Prevention, National Cancer Institute, Bethesda, MD (PP); University of Alabama at Birmingham, Birmingham, AL (HN); Wake Forest University Health Science Center, Winston-Salem, NC (CC); Center for Statistical Sciences and Department of Biostatistics, Brown University School of Public Health, Providence, RI (FD); Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA (DRA)
| | - Denise R Aberle
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO (DSG); Division of Cancer Prevention, National Cancer Institute, Bethesda, MD (PP); University of Alabama at Birmingham, Birmingham, AL (HN); Wake Forest University Health Science Center, Winston-Salem, NC (CC); Center for Statistical Sciences and Department of Biostatistics, Brown University School of Public Health, Providence, RI (FD); Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA (DRA)
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Horeweg N, van Rosmalen J, Heuvelmans MA, van der Aalst CM, Vliegenthart R, Scholten ET, ten Haaf K, Nackaerts K, Lammers JWJ, Weenink C, Groen HJ, van Ooijen P, de Jong PA, de Bock GH, Mali W, de Koning HJ, Oudkerk M. Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening. Lancet Oncol 2014; 15:1332-41. [DOI: 10.1016/s1470-2045(14)70389-4] [Citation(s) in RCA: 340] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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de Groot PM, Carter BW, Godoy MCB, Munden RF. Lung cancer screening-why do it? Tobacco, the history of screening, and future challenges. Semin Roentgenol 2014; 50:72-81. [PMID: 25770337 DOI: 10.1053/j.ro.2014.10.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Affiliation(s)
- Patricia M de Groot
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston TX.
| | - Brett W Carter
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston TX
| | - Myrna C B Godoy
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston TX
| | - Reginald F Munden
- Department of Radiology, The Houston Methodist Hospital, Houston, TX
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125
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Wang YXJ, Lo GG, Yuan J, Larson PEZ, Zhang X. Magnetic resonance imaging for lung cancer screen. J Thorac Dis 2014; 6:1340-8. [PMID: 25276380 DOI: 10.3978/j.issn.2072-1439.2014.08.43] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2014] [Accepted: 08/20/2014] [Indexed: 12/11/2022]
Abstract
Lung cancer is the leading cause of cancer related death throughout the world. Lung cancer is an example of a disease for which a large percentage of the high-risk population can be easily identified via a smoking history. This has led to the investigation of lung cancer screening with low-dose helical/multi-detector CT. Evidences suggest that early detection of lung cancer allow more timely therapeutic intervention and thus a more favorable prognosis for the patient. The positive relationship of lesion size to likelihood of malignancy has been demonstrated previously, at least 99% of all nodules 4 mm or smaller are benign, while noncalcified nodules larger than 8 mm diameter bear a substantial risk of malignancy. In the recent years, the availability of high-performance gradient systems, in conjunction with phased-array receiver coils and optimized imaging sequences, has made MR imaging of the lung feasible. It can now be assumed a threshold size of 3-4 mm for detection of lung nodules with MRI under the optimal conditions of successful breath-holds with reliable gating or triggering. In these conditions, 90% of all 3-mm nodules can be correctly diagnosed and that nodules 5 mm and larger are detected with 100% sensitivity. Parallel imaging can significantly shorten the imaging acquisition time by utilizing the diversity of sensitivity profile of individual coil elements in multi-channel radiofrequency receive coil arrays or transmit/receive coil arrays to reduce the number of phase encoding steps required in imaging procedure. Compressed sensing technique accelerates imaging acquisition from dramatically undersampled data set by exploiting the sparsity of the images in an appropriate transform domain. With the combined imaging algorithm of parallel imaging and compressed sensing and advanced 32-channel or 64-channel RF hardware, overall imaging acceleration of 20 folds or higher can then be expected, ultimately achieve free-breathing and no ECG gating acquisitions in lung cancer MRI screening. Further development of protocols, more clinical trials and the use of advanced analysis tools will further evaluate the real significance of lung MRI.
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Affiliation(s)
- Yi-Xiang J Wang
- 1 Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, China ; 2 Department of Diagnostic Radiology, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong, China ; 3 Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong, China ; 4 Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA ; 5 UCSF/UC Berkeley Joint Bioengineering Program, San Francisco and Berkeley, CA, USA
| | - Gladys G Lo
- 1 Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, China ; 2 Department of Diagnostic Radiology, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong, China ; 3 Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong, China ; 4 Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA ; 5 UCSF/UC Berkeley Joint Bioengineering Program, San Francisco and Berkeley, CA, USA
| | - Jing Yuan
- 1 Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, China ; 2 Department of Diagnostic Radiology, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong, China ; 3 Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong, China ; 4 Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA ; 5 UCSF/UC Berkeley Joint Bioengineering Program, San Francisco and Berkeley, CA, USA
| | - Peder E Z Larson
- 1 Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, China ; 2 Department of Diagnostic Radiology, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong, China ; 3 Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong, China ; 4 Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA ; 5 UCSF/UC Berkeley Joint Bioengineering Program, San Francisco and Berkeley, CA, USA
| | - Xiaoliang Zhang
- 1 Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, China ; 2 Department of Diagnostic Radiology, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong, China ; 3 Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong, China ; 4 Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA ; 5 UCSF/UC Berkeley Joint Bioengineering Program, San Francisco and Berkeley, CA, USA
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Abstract
Screening tests are widely used in medicine to assess the likelihood that members of a defined population have a particular disease. This article presents an overview of such tests including the definitions of key technical (sensitivity and specificity) and population characteristics necessary to assess the benefits and limitations of such tests. Several examples are used to illustrate calculations, including the characteristics of low dose computed tomography as a lung cancer screen, choice of an optimal PSA cutoff and selection of the population to undergo mammography. The importance of careful consideration of the consequences of both false positives and negatives is highlighted. Receiver operating characteristic curves are explained as is the need to carefully select the population group to be tested.
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Cieszanowski A, Maj E, Kulisiewicz P, Grudzinski IP, Jakoniuk-Glodala K, Chlipala-Nitek I, Kaczynski B, Rowinski O. Non-contrast-enhanced whole-body magnetic resonance imaging in the general population: the incidence of abnormal findings in patients 50 years old and younger compared to older subjects. PLoS One 2014; 9:e107840. [PMID: 25259581 PMCID: PMC4178037 DOI: 10.1371/journal.pone.0107840] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2014] [Accepted: 08/22/2014] [Indexed: 12/29/2022] Open
Abstract
Purpose To assess and compare the incidence of abnormal findings detected during non-contrast-enhanced whole-body magnetic resonance imaging (WB-MRI) in the general population in two age groups: (1) 50 years old and younger; and (2) over 50 years old. Materials and Methods The analysis included 666 non-contrast-enhanced WB-MRIs performed on a 1.5-T scanner between December 2009 and June 2013 in a private hospital in 451 patients 50 years old and younger and 215 patients over 50 years old. The following images were obtained: T2-STIR (whole body-coronal plane), T2-STIR (whole spine-sagittal), T2-TSE with fat-saturation (neck and trunk-axial), T2-FLAIR (head-axial), 3D T1-GRE (thorax-coronal, axial), T2-TSE (abdomen-axial), chemical shift (abdomen-axial). Detected abnormalities were classified as: insignificant (type I), potentially significant, requiring medical attention (type II), significant, requiring treatment (type III). Results There were 3375 incidental findings depicted in 659 (98.9%) subjects: 2997 type I lesions (88.8%), 363 type II lesions (10.8%) and 15 type III lesions (0.4%), including malignant or possibly malignant lesions in seven subjects. The most differences in the prevalence of abnormalities on WB-MRI between patients 50 years old and younger and over 50 years old concerned: brain infarction (22.2%, 45.0% respectively), thyroid cysts/nodules (8.7%, 18.8%), pulmonary nodules (5.0%, 16.2%), significant degenerative disease of the spine (23.3%, 44.5%), extra-spinal degenerative disease (22.4%, 61.1%), hepatic steatosis (15.8%, 24.9%), liver cysts/hemangiomas (24%, 34.5%), renal cysts (16.9%, 40.6%), prostate enlargement (5.1% of males, 34.2% of males), uterine fibroids (16.3% of females, 37.9% of females). Conclusions Incidental findings were detected in almost all of the subjects. WB-MRI demonstrated that the prevalence of the vast majority of abnormalities increases with age.
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Affiliation(s)
- Andrzej Cieszanowski
- 2 Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland
- Diagnostic Center, Medicover Hospital, Warsaw, Poland
| | - Edyta Maj
- 2 Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland
- Diagnostic Center, Medicover Hospital, Warsaw, Poland
- * E-mail:
| | - Piotr Kulisiewicz
- 2 Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland
- Diagnostic Center, Medicover Hospital, Warsaw, Poland
| | - Ireneusz P. Grudzinski
- Department of Toxicology, Medical University of Warsaw, Faculty of Pharmacy, Warsaw, Poland
| | | | - Irena Chlipala-Nitek
- 2 Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland
| | - Bartosz Kaczynski
- Department of Medical Informatics and Telemedicine, Medical University of Warsaw, Warsaw, Poland
| | - Olgierd Rowinski
- 2 Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland
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Wang YXJ, Gong JS, Suzuki K, Morcos SK. Evidence based imaging strategies for solitary pulmonary nodule. J Thorac Dis 2014; 6:872-87. [PMID: 25093083 DOI: 10.3978/j.issn.2072-1439.2014.07.26] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2014] [Accepted: 06/29/2014] [Indexed: 12/21/2022]
Abstract
Solitary pulmonary nodule (SPN) is defined as a rounded opacity ≤3 cm in diameter surrounded by lung parenchyma. The majority of smokers who undergo thin-section CT have SPNs, most of which are smaller than 7 mm. In the past, multiple follow-up examinations over a two-year period, including CT follow-up at 3, 6, 12, 18, and 24 months, were recommended when such nodules are detected incidentally. This policy increases radiation burden for the affected population. Nodule features such as shape, edge characteristics, cavitation, and location have not yet been found to be accurate for distinguishing benign from malignant nodules. When SPN is considered to be indeterminate in the initial exam, the risk factor of the patients should be evaluated, which includes patients' age and smoking history. The 2005 Fleischner Society guideline stated that at least 99% of all nodules 4 mm or smaller are benign; when nodule is 5-9 mm in diameter, the best strategy is surveillance. The timing of these control examinations varies according to the nodule size (4-6, or 6-8 mm) and the type of patients, specifically at low or high risk of malignancy concerned. Noncalcified nodules larger than 8 mm diameter bear a substantial risk of malignancy, additional options such as contrast material-enhanced CT, positron emission tomography (PET), percutaneous needle biopsy, and thoracoscopic resection or videoassisted thoracoscopic resection should be considered.
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Affiliation(s)
- Yi-Xiang J Wang
- 1 Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China ; 2 Department of Radiology, Shenzhen People's Hospital, Jinan University Second Clinical Medicine College, Shenzhen 518020, China ; 3 Department of Radiology, The University of Chicago, Chicago, IL 60637, USA ; 4 Diagnostic Imaging, The University of Sheffield, Sheffield, UK
| | - Jing-Shan Gong
- 1 Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China ; 2 Department of Radiology, Shenzhen People's Hospital, Jinan University Second Clinical Medicine College, Shenzhen 518020, China ; 3 Department of Radiology, The University of Chicago, Chicago, IL 60637, USA ; 4 Diagnostic Imaging, The University of Sheffield, Sheffield, UK
| | - Kenji Suzuki
- 1 Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China ; 2 Department of Radiology, Shenzhen People's Hospital, Jinan University Second Clinical Medicine College, Shenzhen 518020, China ; 3 Department of Radiology, The University of Chicago, Chicago, IL 60637, USA ; 4 Diagnostic Imaging, The University of Sheffield, Sheffield, UK
| | - Sameh K Morcos
- 1 Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China ; 2 Department of Radiology, Shenzhen People's Hospital, Jinan University Second Clinical Medicine College, Shenzhen 518020, China ; 3 Department of Radiology, The University of Chicago, Chicago, IL 60637, USA ; 4 Diagnostic Imaging, The University of Sheffield, Sheffield, UK
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Asija A, Manickam R, Aronow WS, Chandy D. Pulmonary nodule: a comprehensive review and update. Hosp Pract (1995) 2014; 42:7-16. [PMID: 25255402 DOI: 10.3810/hp.2014.08.1125] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
The incidental detection of solitary pulmonary nodules and ground-glass nodules has increased substantially with the use of computed tomography as a diagnostic modality and is expected to rise exponentially as lung cancer screening guidelines are more widely implemented by primary care physicians. The lesions should then be classified as low, indeterminate, or high risk for malignancy, depending on the clinical and radiological characteristics. Once classified, these lesions should be evaluated and managed as per expert consensus-based recommendations for performing follow-up computed tomography scans and tissue sampling depending on the pretest probability. When weighing the risks and benefits of further investigations, patient preference and suitability for surgery should be taken into consideration as well.
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Affiliation(s)
- Amit Asija
- Department of Internal Medicine, University of Mississippi, Jackson, MS
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Kołaczyk K, Walecka A, Grodzki T, Alchimowicz J, Smereczyński A, Kiedrowicz R. The assessment of the role of baseline low-dose CT scan in patients at high risk of lung cancer. Pol J Radiol 2014; 79:210-8. [PMID: 25057333 PMCID: PMC4106928 DOI: 10.12659/pjr.890103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2013] [Accepted: 03/05/2014] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Despite the progress in contemporary medicine comprising diagnostic and therapeutic methods, lung cancer is still one of the biggest health concerns in many countries of the world. The main purpose of the study was to evaluate the detection rate of pulmonary nodules and lung cancer in the initial, helical low-dose CT of the chest as well as the analysis of the relationship between the size and the histopathological character of the detected nodules. MATERIAL/METHODS We retrospectively evaluated 1999 initial, consecutive results of the CT examinations performed within the framework of early lung cancer detection program initiated in Szczecin. The project enrolled persons of both sexes, aged 55-65 years, with at least 20 pack-years of cigarette smoking or current smokers. The analysis included assessment of the number of positive results and the evaluation of the detected nodules in relationship to their size. All of the nodules were classified into I of VI groups and subsequently compared with histopathological type of the neoplastic and nonneoplastic pulmonary lesions. RESULTS Pulmonary nodules were detected in 921 (46%) subjects. What is more, malignant lesions as well as lung cancer were significantly, more frequently discovered in the group of asymptomatic nodules of the largest dimension exceeding 15 mm. CONCLUSIONS The initial, low-dose helical CT of the lungs performed in high risk individuals enables detection of appreciable number of indeterminate pulmonary nodules. In most of the asymptomatic patients with histopathologically proven pulmonary nodules greater than 15 mm, the mentioned lesions are malignant, what warrants further, intensified diagnostics.
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Affiliation(s)
- Katarzyna Kołaczyk
- Department of Diagnostic Imaging and Interventional Radiology PUM, Independent Public Clinical Hospital No. 1, Szczecin, Poland
| | - Anna Walecka
- Department of Diagnostic Imaging and Interventional Radiology PUM, Independent Public Clinical Hospital No. 1, Szczecin, Poland
| | - Tomasz Grodzki
- Clinical Division of Thoracic Surgery PUM, Specialist Hospital, prof. Alfred Sokołowski Scales, Szczecin, Poland
| | - Jacek Alchimowicz
- Clinical Division of Thoracic Surgery PUM, Specialist Hospital, prof. Alfred Sokołowski Scales, Szczecin, Poland
| | - Andrzej Smereczyński
- Department of Gastroenterology PUM, Independent Public Clinical Hospital No. 1, Szczecin, Poland
| | - Radosław Kiedrowicz
- Department of Cardiology PUM, Independent Public Clinical Hospital No. 2, Szczecin, Poland
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Goehler A, McMahon PM, Lumish HS, Wu CC, Munshi V, Gilmore M, Chung JH, Ghoshhajra BB, Mark D, Truong QA, Gazelle GS, Hoffmann U. Cost-effectiveness of follow-up of pulmonary nodules incidentally detected on cardiac computed tomographic angiography in patients with suspected coronary artery disease. Circulation 2014; 130:668-75. [PMID: 25015342 DOI: 10.1161/circulationaha.113.007306] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Pulmonary nodules (PNs) are often detected incidentally during coronary computed tomographic (CT) angiography, which is increasingly being used to evaluate patients with chest pain symptoms. However, the efficiency of following up on incidentally detected PN is unknown. METHODS AND RESULTS We determined demographic and clinical characteristics of stable symptomatic patients referred for coronary CT angiography in whom incidentally detected PNs warranted follow-up. A validated lung cancer simulation model was populated with data from these patients, and clinical and economic consequences of follow-up per Fleischner guidelines versus no follow-up were simulated. Of the 3665 patients referred for coronary CT angiography, 591 (16%) had PNs requiring follow-up. The mean age of patients with PNs was 59±10 years; 66% were male; 67% had ever smoked; and 21% had obstructive coronary artery disease. The projected overall lung cancer incidence was 5.8% in these patients, but the majority died of coronary artery disease (38%) and other causes (57%). Follow-up of PNs was associated with a 4.6% relative reduction in cumulative lung cancer mortality (absolute mortality: follow-up, 4.33% versus non-follow-up, 4.54%), more downstream testing (follow-up, 2.34 CTs per patient versus non-follow-up, 1.01 CTs per patient), and an average increase in quality-adjusted life of 7 days. Costs per quality-adjusted life-year gained were $154 700 to follow up the entire cohort and $129 800 per quality-adjusted life-year when only smokers were included. CONCLUSIONS Follow-up of PNs incidentally detected in patients undergoing coronary CT angiography for chest pain evaluation is associated with a small reduction in lung cancer mortality. However, significant downstream testing contributes to limited efficiency, as demonstrated by a high cost per quality-adjusted life-year, especially in nonsmokers.
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Affiliation(s)
- Alexander Goehler
- From the Department of Radiology, Yale University, New Haven, CT (A.G.); Cardiac MR, PET CT Program, Department of Radiology (A.G., H.S.L., B.B.G., Q.A.T., U.H.), Institute for Technology Assessment (A.G., P.M.M., V.M., M.G., G.S.G.), and Department of Cardiology (Q.A.T.), Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA (A.G., P.M.M., C.C.W., B.B.G., Q.A.T., G.S.G., U.H.); Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston (C.C.W.); Department of Radiology, National Jewish Health, Denver, CO (J.H.C.); Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC (D.M.); and Department of Health Management and Policy, Harvard School of Public Health, Boston, MA (G.S.G.).
| | - Pamela M McMahon
- From the Department of Radiology, Yale University, New Haven, CT (A.G.); Cardiac MR, PET CT Program, Department of Radiology (A.G., H.S.L., B.B.G., Q.A.T., U.H.), Institute for Technology Assessment (A.G., P.M.M., V.M., M.G., G.S.G.), and Department of Cardiology (Q.A.T.), Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA (A.G., P.M.M., C.C.W., B.B.G., Q.A.T., G.S.G., U.H.); Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston (C.C.W.); Department of Radiology, National Jewish Health, Denver, CO (J.H.C.); Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC (D.M.); and Department of Health Management and Policy, Harvard School of Public Health, Boston, MA (G.S.G.)
| | - Heidi S Lumish
- From the Department of Radiology, Yale University, New Haven, CT (A.G.); Cardiac MR, PET CT Program, Department of Radiology (A.G., H.S.L., B.B.G., Q.A.T., U.H.), Institute for Technology Assessment (A.G., P.M.M., V.M., M.G., G.S.G.), and Department of Cardiology (Q.A.T.), Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA (A.G., P.M.M., C.C.W., B.B.G., Q.A.T., G.S.G., U.H.); Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston (C.C.W.); Department of Radiology, National Jewish Health, Denver, CO (J.H.C.); Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC (D.M.); and Department of Health Management and Policy, Harvard School of Public Health, Boston, MA (G.S.G.)
| | - Carol C Wu
- From the Department of Radiology, Yale University, New Haven, CT (A.G.); Cardiac MR, PET CT Program, Department of Radiology (A.G., H.S.L., B.B.G., Q.A.T., U.H.), Institute for Technology Assessment (A.G., P.M.M., V.M., M.G., G.S.G.), and Department of Cardiology (Q.A.T.), Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA (A.G., P.M.M., C.C.W., B.B.G., Q.A.T., G.S.G., U.H.); Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston (C.C.W.); Department of Radiology, National Jewish Health, Denver, CO (J.H.C.); Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC (D.M.); and Department of Health Management and Policy, Harvard School of Public Health, Boston, MA (G.S.G.)
| | - Vidit Munshi
- From the Department of Radiology, Yale University, New Haven, CT (A.G.); Cardiac MR, PET CT Program, Department of Radiology (A.G., H.S.L., B.B.G., Q.A.T., U.H.), Institute for Technology Assessment (A.G., P.M.M., V.M., M.G., G.S.G.), and Department of Cardiology (Q.A.T.), Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA (A.G., P.M.M., C.C.W., B.B.G., Q.A.T., G.S.G., U.H.); Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston (C.C.W.); Department of Radiology, National Jewish Health, Denver, CO (J.H.C.); Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC (D.M.); and Department of Health Management and Policy, Harvard School of Public Health, Boston, MA (G.S.G.)
| | - Michael Gilmore
- From the Department of Radiology, Yale University, New Haven, CT (A.G.); Cardiac MR, PET CT Program, Department of Radiology (A.G., H.S.L., B.B.G., Q.A.T., U.H.), Institute for Technology Assessment (A.G., P.M.M., V.M., M.G., G.S.G.), and Department of Cardiology (Q.A.T.), Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA (A.G., P.M.M., C.C.W., B.B.G., Q.A.T., G.S.G., U.H.); Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston (C.C.W.); Department of Radiology, National Jewish Health, Denver, CO (J.H.C.); Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC (D.M.); and Department of Health Management and Policy, Harvard School of Public Health, Boston, MA (G.S.G.)
| | - Jonathan H Chung
- From the Department of Radiology, Yale University, New Haven, CT (A.G.); Cardiac MR, PET CT Program, Department of Radiology (A.G., H.S.L., B.B.G., Q.A.T., U.H.), Institute for Technology Assessment (A.G., P.M.M., V.M., M.G., G.S.G.), and Department of Cardiology (Q.A.T.), Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA (A.G., P.M.M., C.C.W., B.B.G., Q.A.T., G.S.G., U.H.); Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston (C.C.W.); Department of Radiology, National Jewish Health, Denver, CO (J.H.C.); Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC (D.M.); and Department of Health Management and Policy, Harvard School of Public Health, Boston, MA (G.S.G.)
| | - Brian B Ghoshhajra
- From the Department of Radiology, Yale University, New Haven, CT (A.G.); Cardiac MR, PET CT Program, Department of Radiology (A.G., H.S.L., B.B.G., Q.A.T., U.H.), Institute for Technology Assessment (A.G., P.M.M., V.M., M.G., G.S.G.), and Department of Cardiology (Q.A.T.), Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA (A.G., P.M.M., C.C.W., B.B.G., Q.A.T., G.S.G., U.H.); Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston (C.C.W.); Department of Radiology, National Jewish Health, Denver, CO (J.H.C.); Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC (D.M.); and Department of Health Management and Policy, Harvard School of Public Health, Boston, MA (G.S.G.)
| | - Daniel Mark
- From the Department of Radiology, Yale University, New Haven, CT (A.G.); Cardiac MR, PET CT Program, Department of Radiology (A.G., H.S.L., B.B.G., Q.A.T., U.H.), Institute for Technology Assessment (A.G., P.M.M., V.M., M.G., G.S.G.), and Department of Cardiology (Q.A.T.), Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA (A.G., P.M.M., C.C.W., B.B.G., Q.A.T., G.S.G., U.H.); Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston (C.C.W.); Department of Radiology, National Jewish Health, Denver, CO (J.H.C.); Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC (D.M.); and Department of Health Management and Policy, Harvard School of Public Health, Boston, MA (G.S.G.)
| | - Quynh A Truong
- From the Department of Radiology, Yale University, New Haven, CT (A.G.); Cardiac MR, PET CT Program, Department of Radiology (A.G., H.S.L., B.B.G., Q.A.T., U.H.), Institute for Technology Assessment (A.G., P.M.M., V.M., M.G., G.S.G.), and Department of Cardiology (Q.A.T.), Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA (A.G., P.M.M., C.C.W., B.B.G., Q.A.T., G.S.G., U.H.); Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston (C.C.W.); Department of Radiology, National Jewish Health, Denver, CO (J.H.C.); Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC (D.M.); and Department of Health Management and Policy, Harvard School of Public Health, Boston, MA (G.S.G.)
| | - G Scott Gazelle
- From the Department of Radiology, Yale University, New Haven, CT (A.G.); Cardiac MR, PET CT Program, Department of Radiology (A.G., H.S.L., B.B.G., Q.A.T., U.H.), Institute for Technology Assessment (A.G., P.M.M., V.M., M.G., G.S.G.), and Department of Cardiology (Q.A.T.), Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA (A.G., P.M.M., C.C.W., B.B.G., Q.A.T., G.S.G., U.H.); Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston (C.C.W.); Department of Radiology, National Jewish Health, Denver, CO (J.H.C.); Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC (D.M.); and Department of Health Management and Policy, Harvard School of Public Health, Boston, MA (G.S.G.)
| | - Udo Hoffmann
- From the Department of Radiology, Yale University, New Haven, CT (A.G.); Cardiac MR, PET CT Program, Department of Radiology (A.G., H.S.L., B.B.G., Q.A.T., U.H.), Institute for Technology Assessment (A.G., P.M.M., V.M., M.G., G.S.G.), and Department of Cardiology (Q.A.T.), Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA (A.G., P.M.M., C.C.W., B.B.G., Q.A.T., G.S.G., U.H.); Division of Thoracic Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston (C.C.W.); Department of Radiology, National Jewish Health, Denver, CO (J.H.C.); Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC (D.M.); and Department of Health Management and Policy, Harvard School of Public Health, Boston, MA (G.S.G.)
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Diagnostic Performance of Low-Dose Computed Tomography Screening for Lung Cancer over Five Years. J Thorac Oncol 2014; 9:935-939. [DOI: 10.1097/jto.0000000000000200] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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133
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Sim YT, Poon FW. Imaging of solitary pulmonary nodule-a clinical review. Quant Imaging Med Surg 2014; 3:316-26. [PMID: 24404446 DOI: 10.3978/j.issn.2223-4292.2013.12.08] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2013] [Accepted: 12/18/2013] [Indexed: 12/11/2022]
Abstract
Current widespread use of cross-sectional imaging has led to exponential rise in detection of solitary pulmonary nodules (SPNs). Whilst large numbers of these are benign 'incidentalomas', lung cancers presenting as SPNs are often early disease, which have good prognosis. Therefore, there is rising demand and expectation for more accurate, non-invasive, diagnostic tests to characterize SPNs, aiming to avoid missed or delayed diagnosis of lung cancer. There are wide differential diagnoses of benign and malignant lesions that manifest as SPNs. On conventional imaging, the morphological features supporting benignity include stable small nodule size, smooth demarcated margins, and calcifications. Lack of significant contrast enhancement is also more suggestive of benign nodules. With improved understanding of tumor biology, for instance neo-vascularization and increased vascular permeability, imaging techniques such as dynamic contrast-enhanced computed tomography (CT) provide details on contrast uptake and wash-out kinetics, which is more closely reflecting the physiological and pathological phenomena. Positron emission tomography (PET) using 18fluorine-fluoro-deoxyglucose ((18)F-FDG) is a well-established functional imaging technique, for which one of the most common indications is differentiating between benign and malignant SPNs. Combined PET-CT integrates the anatomical, morphological and metabolic aspects in a single examination, improving overall diagnostic accuracy. Semi-quantitative analysis in FDG-PET imaging is based on measurement of maximum standardized uptake values (SUVmax). SUVmax analysis may become more useful as an assessment of tumor biology in future risk stratification models for cancers. Dual-time point FDG-PET imaging, dual-energy CT, perfusion CT, magnetic resonance (MR) imaging using dynamic contrast enhancement or diffusion-weighted imaging (DWI) techniques, are among the growing armamentarium for diagnostic imaging of SPNs. Provided there is no unacceptably high procedural or operative risk, tissue diagnosis by resection or percutaneous biopsy of SPN should be advocated in those patients identified as at moderate or high risk of malignancy, based on clinical stratification.
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Affiliation(s)
- Yee Ting Sim
- Radiology Department, Forth Valley Royal Hospital, Larbert, FK5 4WR, UK
| | - Fat Wui Poon
- West of Scotland PET Centre, Beatson Oncology Centre, Gartnavel General Hospital, Glasgow G12 0YN, UK
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Maci E, Comito F, Frezza AM, Tonini G, Pezzuto A. Lung Nodule and Functional Changes in Smokers After Smoking Cessation Short-Term Treatment. Cancer Invest 2014; 32:388-93. [DOI: 10.3109/07357907.2014.919308] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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135
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Shin KE, Lee KS, Yi CA, Chung MJ, Shin MH, Choi YH. Subcentimeter lung nodules stable for 2 years at LDCT: Long-term follow-up using volumetry. Respirology 2014; 19:921-8. [DOI: 10.1111/resp.12337] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2013] [Revised: 03/20/2014] [Accepted: 04/22/2014] [Indexed: 12/21/2022]
Affiliation(s)
- Kyung Eun Shin
- Department of Radiology and Center for Imaging Science; Sungkyunkwan University School of Medicine; Seoul Korea
| | - Kyung Soo Lee
- Department of Radiology and Center for Imaging Science; Sungkyunkwan University School of Medicine; Seoul Korea
| | - Chin A. Yi
- Department of Radiology and Center for Imaging Science; Sungkyunkwan University School of Medicine; Seoul Korea
| | - Myung Jin Chung
- Department of Radiology and Center for Imaging Science; Sungkyunkwan University School of Medicine; Seoul Korea
| | - Myung-Hee Shin
- Department of Social and Preventive Medicine; Sungkyunkwan University School of Medicine; Seoul Korea
| | - Yoon-Ho Choi
- Center for Health Promotion; Samsung Medical Center; Sungkyunkwan University School of Medicine; Seoul Korea
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Sayyouh M, Vummidi DR, Kazerooni EA. Evaluation and management of pulmonary nodules: state-of-the-art and future perspectives. ACTA ACUST UNITED AC 2014; 7:629-44. [PMID: 24175679 DOI: 10.1517/17530059.2013.858117] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
INTRODUCTION The imaging evaluation of pulmonary nodules, often incidentally detected on imaging examinations performed for other clinical reasons, is a frequently encountered clinical circumstance. With advances in imaging modalities, both the detection and characterization of pulmonary nodules continue to evolve and improve. AREAS COVERED This article will review the imaging modalities used to detect and diagnose benign and malignant pulmonary nodules, with a focus on computed tomography (CT), which continues to be the mainstay for evaluation. The authors discuss recent advances in the lung nodule management, and an algorithm for the management of indeterminate pulmonary nodules. EXPERT OPINION There are set of criteria that define a benign nodule, the most important of which are the lack of temporal change for 2 years or more, and certain benign imaging criteria, including specific patterns of calcification or the presence of fat. Although some indeterminate pulmonary nodules are immediately actionable, generally those approaching 1 cm or larger in diameter, at which size the diagnostic accuracy of tools such as positron emission tomography (PET)/CT, single photon emission CT (SPECT) and biopsy techniques are sufficient to warrant their use. The majority of indeterminate pulmonary nodules are under 1 cm, for which serial CT examinations through at least 2 years for solid nodules and 3 years for ground-glass nodules, are used to demonstrate either benign biologic behavior or otherwise. The management of incidental pulmonary nodules involves a multidisciplinary approach in which radiology plays a pivotal role. Newer imaging and postprocessing techniques have made this a more accurate technique eliminating ambiguity and unnecessary follow-up.
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Affiliation(s)
- Mohamed Sayyouh
- University of Michigan Health System, Division of Cardiothoracic Radiology, Department of Radiology , Ann Arbor, MI , USA
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Benjamin AB, Zhou X, Isaac O, Zhao H, Song Y, Chi X, Sun B, Hao L, Zhang L, Liu L, Guan H, Shao S. PRP19 upregulation inhibits cell proliferation in lung adenocarcinomas by p21-mediated induction of cell cycle arrest. Biomed Pharmacother 2014; 68:463-70. [DOI: 10.1016/j.biopha.2014.03.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2014] [Accepted: 03/04/2014] [Indexed: 11/25/2022] Open
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Staab W, Bergau L, Lotz J, Sohns C. Prevalence of noncardiac findings in computed tomography angiography before transcatheter aortic valve replacement. J Cardiovasc Comput Tomogr 2014; 8:222-9. [DOI: 10.1016/j.jcct.2014.03.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2013] [Revised: 01/09/2014] [Accepted: 03/11/2014] [Indexed: 10/25/2022]
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Felten MK, Knoll L, Schikowsky C, Das M, Feldhaus C, Hering KG, Böcking A, Kraus T. Is it useful to combine sputum cytology and low-dose spiral computed tomography for early detection of lung cancer in formerly asbestos-exposed power industry workers? J Occup Med Toxicol 2014; 9:14. [PMID: 24739456 PMCID: PMC4002204 DOI: 10.1186/1745-6673-9-14] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2013] [Accepted: 04/09/2014] [Indexed: 11/29/2022] Open
Abstract
Background Low-dose spiral computed tomography (LDSCT) in comparison to conventional chest X-ray proved to be a highly sensitive method of diagnosing early stage lung cancer. However, centrally located early stage lung tumours remain a diagnostic challenge. We determined the practicability and efficacy of early detection of lung cancer when combining LDSCT and sputum cytology. Methods Of a cohort of 4446 formerly asbestos exposed power industry workers, we examined a subgroup of 187 (4.2%) high risk participants for lung cancer at least once with both LDSCT and sputum cytology. After the examination period the participants were followed-up for more than three years. Results The examinations resulted in the diagnosis of lung cancer in 12 participants (6.4%). Six were in clinical stage I. We found 10 non-small cell lung carcinomas and one small cell lung carcinoma. Sputum specimens showed suspicious pathological findings in seven cases and in 11 cases the results of LDSCT indicated malignancies. The overall sensitivity and specificity of sputum cytology was 58.0% and 98% with positive (PPV) and negative (NPV) predictive values of 70% and 97%. For LDSCT we calculated the sensitivity and specificity of 92% and 97%. The PPV and NPV were 65% and 99% respectively. Conclusions Our results confirmed that in surveillance programmes a combination of sputum cytology and LDSCT is well feasible and accepted by the participants. Sputum examination alone is not effective enough for the detection of lung cancer, especially at early stage. Even in well- defined risk groups highly exposed to asbestos, we cannot recommend the use of combined LDSCT and sputum cytology examinations as long as no survival benefit has been proved for the combination of both methods. For ensuring low rates of false-positive and false-negative results, programme planners must closely cooperate with experienced medical practitioners and pathologists in a well-functioning interdisciplinary network.
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Affiliation(s)
- Michael K Felten
- Institute of Occupational and Social Medicine, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Lars Knoll
- Institute of Occupational and Social Medicine, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Christian Schikowsky
- Institute of Occupational and Social Medicine, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Marco Das
- Department of Diagnostic Radiology, Medical Faculty, RWTH Aachen University, Aachen, Germany ; Department of Radiology, Maastricht University Medical Centre, Maastricht, Netherlands
| | | | - Kurt G Hering
- Department of Diagnostic Radiology, Knappschaftskrankenhaus, Dortmund, Germany
| | - Alfred Böcking
- Institute of Cytopathology, Heinrich Heine University, Düsseldorf, Germany ; Institute of Pathology, Düren Hospital, Düren, Germany
| | - Thomas Kraus
- Institute of Occupational and Social Medicine, Medical Faculty, RWTH Aachen University, Aachen, Germany
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140
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Lowe FJ, Shen W, Zu J, Li J, Wang H, Zhang X, Zhong L. A novel autoantibody test for the detection of pre-neoplastic lung lesions. Mol Cancer 2014; 13:78. [PMID: 24708840 PMCID: PMC3992137 DOI: 10.1186/1476-4598-13-78] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2014] [Accepted: 04/01/2014] [Indexed: 12/16/2022] Open
Abstract
Background Atypical adenomatous hyperplasia (AAH) and squamous cell dysplasia (SCD) are associated with the development of malignant lesions in the lung. Accurate diagnosis of AAH and SCD could facilitate earlier clinical intervention and provide useful information for assessing lung cancer risk in human populations. Detection of AAH and SCD has been achieved by imaging and bronchoscopy clinically, but sensitivity and specificity remain less than satisfactory. We utilized the ability of the immune system to identify lesion specific proteins for detection of AAH and SCD. Methods AAH and SCD tissue was surgically removed from six patients of Chinese descent (3 AAH and 3 SCD) with corresponding serum samples. Total RNA was extracted from the tissues and a cDNA library was generated and incorporated into a T7 bacteriophage vector. Following enrichment to remove "normal" reactive phages, a total of 200 AAH related and 200 SCD related phage clones were chosen for statistical classifier development and incorporation into a microarray. Microarray slides were tested with an independent double-blinded population consisting of 100 AAH subjects, 100 SCD subjects and 200 healthy control subjects. Results Sensitivity of 82% and specificity of 70% were achieved in the detection of AAH using a combination of 9 autoantibody biomarkers. Likewise, 86% sensitivity and 78% specificity were achieved in the detection of SCD using a combination of 13 SCD-associated markers. Sequencing analysis identified that most of these 22 autoantibody biomarkers had known malignant associations. Conclusions Both diagnostic values showed promising sensitivity and specificity in detection of pre-neoplastic lung lesions. Hence, this technology could be a useful non-invasive tool to assess lung cancer risk in human populations.
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Affiliation(s)
- Frazer J Lowe
- British American Tobacco (Investments) Ltd, Group Research and Development, Regents Park Road, Millbrook, Southampton SO15 8TL, UK.
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141
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Kim MP. Management of the Solitary Pulmonary Nodule. Lung Cancer 2014. [DOI: 10.1002/9781118468791.ch13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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142
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Seigneurin A, Field JK, Gachet A, Duffy SW. A systematic review of the characteristics associated with recall rates, detection rates and positive predictive values of computed tomography screening for lung cancer. Ann Oncol 2014; 25:781-791. [PMID: 24297084 DOI: 10.1093/annonc/mdt491] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Low-dose computed tomography (LDCT) screening has been shown to reduce mortality from lung cancer but at a substantial cost in diagnostic activity. The objective of this study was to investigate the characteristics of screening programmes associated with recall rates, detection rates and positive predictive values (PPVs). DESIGN We conducted a systematic review of randomised trials and observational studies on LDCT screening for lung cancer. A meta-regression using random-effect logistic regressions was carried out to assess factors influencing recall rates for further investigation, cancer detection rates and PPVs of recall. RESULTS We used data from 63 372 prevalent screens from 16 studies of LDCT screening for lung cancer and 79 302 incident screens from nine studies. In univariable analysis, the use of a cut-off size to define nodules warranting further investigation at prevalent screens reduced recall rates [odds ratio (OR) = 0.44, 95% confidence interval (CI) 0.24-0.82 and OR = 0.42, 95% CI 0.21-0.84 for cut-off sizes of 3-4 and 5-8 mm, respectively], without significant changes in detection rates and PPVs. The number of readers (1 or ≥2) was not associated with changes in recall rates, detection rates and PPVs at prevalent and incident screens. Using the volumetry software at incident screens significantly increased the PPV (OR = 5.02, 95% CI 1.65-15.28) as a result of a decrease in recall rates (OR = 0.25, 95% CI 0.12-0.51), without significant changes in detection rates. CONCLUSION These results highlight the value of using a cut-off size for nodules warranting further investigation with lower recall rates at prevalent screens, whereas the volumetric assessment software at incident screens results in lower recall rates and higher PPVs. The presence of positron emission tomography in the work-up protocol might be associated with lower rates of surgical procedures for benign findings, although this hypothesis deserves further investigation.
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Affiliation(s)
- A Seigneurin
- Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
| | - J K Field
- Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, The University of Liverpool, Liverpool, UK
| | - A Gachet
- Isère Cancer Registry, Grenoble, France
| | - S W Duffy
- Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
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143
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Incidentally detected lung nodules: clinical predictors of adherence to Fleischner Society surveillance guidelines. J Comput Assist Tomogr 2014; 38:89-95. [PMID: 24424558 DOI: 10.1097/rct.0b013e3182a939a5] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
OBJECTIVE The objective of this study was to determine adherence to incidentally detected lung nodule computed tomographic (CT) surveillance recommendations and identify demographic and clinical factors that increase the likelihood of CT surveillance. MATERIALS AND METHODS A total of 419 patients with incidentally detected lung nodules were included. Recorded data included patient demographic, radiologic, and clinical characteristics and outcomes at a 4-year follow-up. Multivariate logistic regression models determined the factors associated with likelihood of recommended CT surveillance. RESULTS At least 1 recommended surveillance chest CT was performed on 48% of the patients (148/310). Computed tomographic result communication to the patient (odds ratio [OR], 2.2; P = 0.006; confidence interval [CI], 1.3-4.0) or to the referring physician (OR, 2.8; P = 0.001; CI, 1.7-4.5) and recommendation of a specific surveillance time interval (OR, 1.7; P = 0.023; CI, 1.08-2.72) increased the likelihood of surveillance. Other demographic, radiologic, and clinical factors did not influence surveillance. CONCLUSIONS Documented physician and patient result communication as well as the recommendation of a specific surveillance time interval increased the likelihood of CT surveillance of incidentally detected lung nodules.
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144
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Hanas JS, Peyton MD, Lerner MR, Lightfoot SA, Deb SJ, Hanas RJ, Vu NT, Kupiec TC, Stowell DE, Brackett DJ, Dubinett SM, Hocker JR. Distinguishing patients with stage I lung cancer versus control individuals using serum mass profiling. Cancer Invest 2014; 32:136-43. [PMID: 24579933 DOI: 10.3109/07357907.2014.883528] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Serum mass profiling can discern physiological changes associated with specific disease states and their progression. Sera (86 total) from control individuals and patients with stage I nonsmall cell lung cancer or benign small pulmonary nodules were discriminated retrospectively by serum changes discerned by mass profiling. Control individuals were distinguished from patients with Stage I lung cancer or benign nodules with test sensitivities of 89% and 83%. Lung cancer patients versus those with benign nodules were distinguished with 80% sensitivity. This study exhibits progress toward a minimally-invasive aid in early detection of lung cancer and monitoring small pulmonary nodules for malignancy.
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145
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Grogan EL, Deppen SA, Ballman KV, Andrade GM, Verdial FC, Aldrich MC, Chen CL, Decker PA, Harpole DH, Cerfolio RJ, Keenan RJ, Jones DR, D'Amico TA, Shrager JB, Meyers BF, Putnam JB. Accuracy of fluorodeoxyglucose-positron emission tomography within the clinical practice of the American College of Surgeons Oncology Group Z4031 trial to diagnose clinical stage I non-small cell lung cancer. Ann Thorac Surg 2014; 97:1142-8. [PMID: 24576597 DOI: 10.1016/j.athoracsur.2013.12.043] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2013] [Revised: 12/04/2013] [Accepted: 12/18/2013] [Indexed: 01/24/2023]
Abstract
BACKGROUND Fluorodeoxyglucose-positron emission tomography (FDG-PET) is recommended for diagnosis and staging of non-small cell lung cancer (NSCLC). Meta-analyses of FDG-PET diagnostic accuracy demonstrated sensitivity of 96% and specificity of 78% but were performed in select centers, introducing potential bias. This study evaluates the accuracy of FDG-PET to diagnose NSCLC and examines differences across enrolling sites in the national American College of Surgeons Oncology Group (ACOSOG) Z4031 trial. METHODS Between 2004 and 2006, 959 eligible patients with clinical stage I (cT1-2 N0 M0) known or suspected NSCLC were enrolled in the Z4031 trial, and with a baseline FDG-PET available for 682. Final diagnosis was determined by pathologic examination. FDG-PET avidity was categorized into avid or not avid by radiologist description or reported maximum standard uptake value. FDG-PET diagnostic accuracy was calculated for the entire cohort. Accuracy differences based on preoperative size and by enrolling site were examined. RESULTS Preoperative FDG-PET results were available for 682 participants enrolled at 51 sites in 39 cities. Lung cancer prevalence was 83%. FDG-PET sensitivity was 82% (95% confidence interval, 79 to 85) and specificity was 31% (95% confidence interval, 23% to 40%). Positive and negative predictive values were 85% and 26%, respectively. Accuracy improved with lesion size. Of 80 false-positive scans, 69% were granulomas. False-negative scans occurred in 101 patients, with adenocarcinoma being the most frequent (64%), and 11 were 10 mm or less. The sensitivity varied from 68% to 91% (p=0.03), and the specificity ranged from 15% to 44% (p=0.72) across cities with more than 25 participants. CONCLUSIONS In a national surgical population with clinical stage I NSCLC, FDG-PET to diagnose lung cancer performed poorly compared with published studies.
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Affiliation(s)
- Eric L Grogan
- Veterans Affairs Medical Center, Nashville, Tennessee; Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee; Institute for Medicine and Public Health, Vanderbilt University, Nashville, Tennessee.
| | - Stephen A Deppen
- Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee; Institute for Medicine and Public Health, Vanderbilt University, Nashville, Tennessee
| | - Karla V Ballman
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Gabriela M Andrade
- Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Francys C Verdial
- Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Melinda C Aldrich
- Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee; Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Chiu L Chen
- Center for Quantitative Sciences, Mayo Clinic, Rochester, Minnesota
| | - Paul A Decker
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - David H Harpole
- Department of Surgery, Duke University, Durham, North Carolina
| | | | - Robert J Keenan
- Department of Surgery, Allegheny General Hospital, Pittsburgh, Pennsylvania
| | - David R Jones
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Joseph B Shrager
- Department of Surgery, Stanford University, Stanford, California
| | - Bryan F Meyers
- Department of Surgery, Washington University, St. Louis, Missouri
| | - Joe B Putnam
- Veterans Affairs Medical Center, Nashville, Tennessee; Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
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Trudgen K, Khattar NH, Bensadoun E, Arnold S, Stromberg AJ, Hirschowitz EA. Autoantibody profiling for lung cancer screening longitudinal retrospective analysis of CT screening cohorts. PLoS One 2014; 9:e87947. [PMID: 24498409 PMCID: PMC3912196 DOI: 10.1371/journal.pone.0087947] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2013] [Accepted: 01/02/2014] [Indexed: 11/25/2022] Open
Abstract
Recommendations for lung cancer screening present a tangible opportunity to integrate predictive blood-based assays with radiographic imaging. This study compares performance of autoantibody markers from prior discovery in sample cohorts from two CT screening trials. One-hundred eighty non-cancer and 6 prevalence and 44 incidence cancer cases detected in the Mayo Lung Screening Trial were tested using a panel of six autoantibody markers to define a normal range and assign cutoff values for class prediction. A cutoff for minimal specificity and best achievable sensitivity were applied to 256 samples drawn annually for three years from 95 participants in the Kentucky Lung Screening Trial. Data revealed a discrepancy in quantile distribution between the two apparently comparable sample sets, which skewed the assay’s dynamic range towards specificity. This cutoff offered 43% specificity (102/237) in the control group and accurately classified 11/19 lung cancer samples (58%), which included 4/5 cancers at time of radiographic detection (80%), and 50% of occult cancers up to five years prior to diagnosis. An apparent ceiling in assay sensitivity is likely to limit the utility of this assay in a conventional screening paradigm. Pre-analytical bias introduced by sample age, handling or storage remains a practical concern during development, validation and implementation of autoantibody assays. This report does not draw conclusions about other logical applications for autoantibody profiling in lung cancer diagnosis and management, nor its potential when combined with other biomarkers that might improve overall predictive accuracy.
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Affiliation(s)
- Kourtney Trudgen
- Division of Pulmonary and Critical Care Medicine, University of Kentucky, Lexington, Kentucky, United States of America
| | - Nada H. Khattar
- Division of Pulmonary and Critical Care Medicine, University of Kentucky, Lexington, Kentucky, United States of America
| | - Eric Bensadoun
- Division of Pulmonary and Critical Care Medicine, University of Kentucky, Lexington, Kentucky, United States of America
| | - Susanne Arnold
- Division of Medical Oncology, University of Kentucky, Lexington, Kentucky, United States of America
| | - Arnold J. Stromberg
- Department of Statistics, University of Kentucky, Lexington, Kentucky, United States of America
| | - Edward A. Hirschowitz
- Division of Pulmonary and Critical Care Medicine, University of Kentucky, Lexington, Kentucky, United States of America
- Lexington Veteran’s Administration Medical Center, Lexington, Kentucky, United States of America
- * E-mail:
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Madani A, Spicer J, Alcindor T, David M, Vanhuyse M, Asselah J, Mulder D, Ferri L. Clinical significance of incidental pulmonary nodules in esophageal cancer patients. J Gastrointest Surg 2014; 18:226-32; discussion 232-3. [PMID: 24002773 DOI: 10.1007/s11605-013-2339-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2013] [Accepted: 08/20/2013] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Incidental pulmonary nodules are frequently identified during staging investigations for esophageal cancer patients. Their clinical significance is unclear and may bias treatment decisions towards palliative options. METHODS From 2005 to 2011, 423 esophageal cancer patients were treated at a tertiary hospital. Those with incidental pulmonary nodules were identified. Demographics, imaging, pathology and perioperative outcomes were analyzed. RESULTS Ninety-two patients (22 %) had lung nodules. Twenty-nine (32 %) were palliative due to poor performance status or extra-pulmonary distant metastasis on imaging. Sixty-three had no evidence of extra-pulmonary metastasis and underwent curative-intent treatment comprising of neoadjuvant therapy [35 (55 %)] followed by esophagectomy [with lung resection, 33 (52 %) or without lung resection, 30 (48 %)]. Of those 33 lung resections, there were 27 benign lesions, 4 stage I lung cancers, and 1 esophageal cancer metastasis. Of 30 patients with lung nodules that underwent curative esophagectomy without lung resection, none showed interval size increase on follow-up imaging [median 9 months (3-40)]. There was no difference in perioperative complications or mortality between patients with combined esophagectomy and lung resection and those with esophagectomy alone. CONCLUSION Incidental pulmonary nodules in the absence of extra-pulmonary metastases in esophageal cancer patients are rarely metastases and should not bias caregivers towards palliative therapy.
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Affiliation(s)
- Amin Madani
- Division of General Surgery, McGill University, Montreal, QC, Canada,
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Abstract
Current guidelines endorse low-dose computed tomography (LDCT) screening for smokers and former smokers aged 55 to 74, with at least a 30-pack-year smoking history. Adherence to published algorithms for nodule follow-up is strongly encouraged. Future directions for screening research include risk stratification for selection of the screening population and improvements in the diagnostic follow-up for indeterminate pulmonary nodules. Screening for lung cancer with LDCT has revealed that there are indolent lung cancers that may not be fatal. More research is necessary if the risk-benefit ratio in lung cancer screening is to be maximized.
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Affiliation(s)
- Caroline Chiles
- Department of Radiology, Wake Forest University Health Sciences Center, Medical Center Boulevard, Winston-Salem, NC 27157, USA.
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Huellner MW, Collen TD, Gut P, Winterhalder R, Pauli C, Diebold J, Seifert B, Strobel K, Veit-Haibach P. Multiparametric PET/CT-perfusion does not add significant additional information for initial staging in lung cancer compared with standard PET/CT. EJNMMI Res 2014; 4:6. [PMID: 24450990 PMCID: PMC3901766 DOI: 10.1186/2191-219x-4-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2013] [Accepted: 01/17/2014] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND The purpose of this study was to assess the relationship of CT-perfusion (CTP), 18F-FDG-PET/CT and histological parameters, and the possible added value of CTP to FDG-PET/CT in the initial staging of lung cancer. METHODS Fifty-four consecutive patients (median age 65 years, 15 females, 39 males) with suspected lung cancer were evaluated prospectively by CT-perfusion scan and 18F-FDG-PET/CT scan. Overall, 46 tumors were identified. CTP parameters blood flow (BF), blood volume (BV), and mean transit time (MTT) of the tumor tissue were calculated. Intratumoral microvessel density (MVD) was assessed quantitatively. Differences in CTP parameters concerning tumor type, location, PET positivity of lymph nodes, TNM status, and UICC stage were analyzed. Spearman correlation analyses between CTP and 18F-FDG-PET/CT parameters (SUVmax, SUVmean, PETvol, and TLG), MVD, tumor size, and tumor stage were performed. RESULTS The mean BF (mL/100 mL min-1), BV (mL/100 mL), and MTT (s) was 35.5, 8.4, and 14.2, respectively. The BF and BV were lower in tumors with PET-positive lymph nodes (p = 0.02). However, the CTP values were not significantly different among the N stages. The CTP values were not different, depending on tumor size and location. No significant correlation was found between CTP parameters and MVD. CONCLUSIONS Overall, the CTP information showed only little additional information for the initial staging compared with standard FDG-PET/CT. Low perfusion in lung tumors might possibly be associated with metabolically active regional lymph nodes. Apart from that, both CTP and 18F-FDG-PET/CT parameter sets may reflect different pathophysiological mechanisms in lung cancer.
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Affiliation(s)
- Martin W Huellner
- Department of Radiology and Nuclear Medicine, Lucerne Cantonal Hospital, Spitalstrasse 1, Lucerne CH-6004, Switzerland.
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Pixel-based Machine Learning in Computer-Aided Diagnosis of Lung and Colon Cancer. INTELLIGENT SYSTEMS REFERENCE LIBRARY 2014. [DOI: 10.1007/978-3-642-40017-9_5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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