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Tailor TD, Farrow NE, Gao J, Choudhury KR, Tong BC. Lung Cancer Screening Eligibility and Use: A Population Health Perspective of One Community. N C Med J 2021; 82:321-326. [PMID: 34544766 DOI: 10.18043/ncm.82.5.321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
BACKGROUND Low-dose chest CT (LDCT) is the only effective screening test for lung cancer. Annual lung cancer screening (LCS) is recommended by the US Preventive Services Task Force (USPSTF) for individuals at high risk for primary lung neoplasm.METHODS We retrospectively identified patients receiving LCS from January 2016 through March 2018 whose residential addresses were within our health center's county. We estimated driving distance from the patient's address to our health center and obtained sociodemographic characteristics from the electronic health record (EHR). The census-tract-level LCS-eligible population size was estimated, and their population characteristics determined via US Census Bureau, Centers for Disease Control and Prevention (CDC), and Behavioral Risk Factor Surveillance System (BRFSS) data. The Cochran-Mantel-Haenszel test was used to determine differences amongst the LCS-eligible and LCS-enrolled populations. Multivariable regression was used to determine the effects of sociodemographic characteristics on LCS eligibility.RESULTS There was modest correlation between census-tract-level LCS-eligible population size and LCS enrollment (r = 0.68, P < .001). 5.9% (364/6185) of the estimated LCS-eligible population in our county received LCS, with census-tract LCS rates ranging from 1.5% to 12.5%. Nonwhite race status (Hispanic and African American) was associated with decreased likelihood of LCS enrollment compared to White race (OR = 95% CI, 0.765 [0.61, 0.95] and 0.031 [0.008, 0.124], respectively). Older age, Medicaid, and uninsured statuses were positively correlated with LCS eligibility (P ≤ .01).LIMITATIONS This analysis comprises a single county. Other LCS facilities within our health system in neighboring counties, as well as individuals receiving LCS outside of our health system, are not captured.CONCLUSIONS The uptake of LCS remains low, with disproportionately lower screening rates amongst Hispanic and African American populations. Medicaid and uninsured patients in our community are also more likely to be LCS-eligible. These populations may be targets for interventions aimed at increasing LCS awareness and uptake.
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Affiliation(s)
- Tina D Tailor
- Department of Radiology, Duke University Medical Center, Durham, North Carolina
| | - Norma E Farrow
- Department of Surgery, Duke University Medical Center, Durham, North Carolina
| | - Junheng Gao
- Department of Biostatistics and Bioinformatics, Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina
| | - Kingshuk R Choudhury
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina
| | - Betty C Tong
- Department of Surgery, Division of Thoracic and Cardiovascular Surgery, Duke University Medical Center, Durham, North Carolina.
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Yang S, Li F, Starks MA, Hernandez AF, Mentz RJ, Choudhury KR. Sample size requirements for detecting treatment effect heterogeneity in cluster randomized trials. Stat Med 2020; 39:4218-4237. [PMID: 32823372 PMCID: PMC7948251 DOI: 10.1002/sim.8721] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 07/13/2020] [Accepted: 07/16/2020] [Indexed: 12/14/2022]
Abstract
Cluster randomized trials (CRTs) refer to experiments with randomization carried out at the cluster or the group level. While numerous statistical methods have been developed for the design and analysis of CRTs, most of the existing methods focused on testing the overall treatment effect across the population characteristics, with few discussions on the differential treatment effect among subpopulations. In addition, the sample size and power requirements for detecting differential treatment effect in CRTs remain unclear, but are helpful for studies planned with such an objective. In this article, we develop a new sample size formula for detecting treatment effect heterogeneity in two-level CRTs for continuous outcomes, continuous or binary covariates measured at cluster or individual level. We also investigate the roles of two intraclass correlation coefficients (ICCs): the adjusted ICC for the outcome of interest and the marginal ICC for the covariate of interest. We further derive a closed-form design effect formula to facilitate the application of the proposed method, and provide extensions to accommodate multiple covariates. Extensive simulations are carried out to validate the proposed formula in finite samples. We find that the empirical power agrees well with the prediction across a range of parameter constellations, when data are analyzed by a linear mixed effects model with a treatment-by-covariate interaction. Finally, we use data from the HF-ACTION study to illustrate the proposed sample size procedure for detecting heterogeneous treatment effects.
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Affiliation(s)
- Siyun Yang
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - Fan Li
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
- Center for Methods in Implementation and Prevention Science, Yale School of Public Health, New Haven, Connecticut
| | - Monique A. Starks
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Adrian F. Hernandez
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Robert J. Mentz
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Kingshuk R. Choudhury
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
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Vernuccio F, Ronot M, Dioguardi Burgio M, Cauchy F, Choudhury KR, Dokmak S, Soubrane O, Valla D, Zucman-Rossi J, Paradis V, Vilgrain V. Long-term Evolution of Hepatocellular Adenomas at MRI Follow-up. Radiology 2020; 295:361-372. [PMID: 32181728 DOI: 10.1148/radiol.2020191790] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Background Hepatocellular adenomas (HCAs) are rare benign liver tumors. Guidelines recommend continued surveillance of patients diagnosed with HCAs, but these guidelines are mainly based on small studies or expert opinion. Purpose To analyze the long-term evolution of HCAs, including solitary and multiple lesions, and to identify predictive features of progression with MRI. Materials and Methods In a retrospective study, patients diagnosed with pathologically proven solitary or multiple HCAs between January 2004 and December 2015 were included; β-catenin-mutated HCAs and HCAs with foci of malignancy were considered to be at risk for progression. MRI examinations were analyzed, and tumor evolution was evaluated by using Response Evaluation Criteria in Solid Tumors, version 1.1. Student t, Mann-Whitney, χ2, Fisher exact, and McNemar tests were used, as appropriate. Results In total, 118 patients (mean age, 40 years ± 10 [standard deviation]; 108 women) were evaluated, including 41 with a solitary HCA (mean age, 40 years ± 14; 36 women) and 77 with multiple HCAs (mean age, 40 years ± 10; 72 women). At a median follow-up of 5 years, 37 of 41 (90%) patients with a solitary HCA and 55 of 77 (71%) patients with multiple HCAs showed stable or regressive disease. After resection of solitary HCAs, new lesions appeared in only two of 29 (7%) patients, both of whom had HCAs at risk of progression. In patients with multiple HCAs, hepatocyte nuclear factor 1α-inactivated HCAs showed a higher rate of progression compared with inflammatory HCAs (11 of 26 [42%] vs seven of 37 [19%], P = .04) despite lower use (28 of 32 patients [88%] vs 45 of 45 patients [100%]; P = .03) and shorter duration (mean, 12.0 years ± 7.5 vs 19.2 years ± 9.2; P = .001) of oral contraceptive intake. Conclusion Long-term MRI follow-up showed that 78% of hepatocellular adenomas had long-term stability or regression. After resection of solitary hepatocellular adenomas, new lesions occurred only in hepatocellular adenomas at risk of progression. Patients with multiple hepatocellular adenomas were more likely to show progressive disease, with hepatic nuclear factor 1α-inactivated hepatocellular adenomas being the most common subtype showing progression. © RSNA, 2020 Online supplemental material is available for this article.
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Affiliation(s)
- Federica Vernuccio
- From the University of Paris, Paris, France (F.V., M.R., F.C., O.S., D.V., V.P., V.V.); Departments of Radiology (M.R., M.D.B., V.V.), Liver Transplantation and Hepatobiliary Surgery (F.C., S.D., O.S.), and Hepatology (D.V.), and Pathology Department (V.P.), University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France; INSERM, UMR 1149, Paris, France (M.R., F.C., O.S., D.V., M.D.B., V.P., V.V.); Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC (K.R.C.); INSERM, UMR 1162, Génomique Fonctionnelle des Tumeurs Solides, Université Paris Descartes, Université Paris Diderot, Université Paris 13, Labex Immuno-Oncology, Paris, France (J.Z.), Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy (F.V.)
| | - Maxime Ronot
- From the University of Paris, Paris, France (F.V., M.R., F.C., O.S., D.V., V.P., V.V.); Departments of Radiology (M.R., M.D.B., V.V.), Liver Transplantation and Hepatobiliary Surgery (F.C., S.D., O.S.), and Hepatology (D.V.), and Pathology Department (V.P.), University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France; INSERM, UMR 1149, Paris, France (M.R., F.C., O.S., D.V., M.D.B., V.P., V.V.); Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC (K.R.C.); INSERM, UMR 1162, Génomique Fonctionnelle des Tumeurs Solides, Université Paris Descartes, Université Paris Diderot, Université Paris 13, Labex Immuno-Oncology, Paris, France (J.Z.), Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy (F.V.)
| | - Marco Dioguardi Burgio
- From the University of Paris, Paris, France (F.V., M.R., F.C., O.S., D.V., V.P., V.V.); Departments of Radiology (M.R., M.D.B., V.V.), Liver Transplantation and Hepatobiliary Surgery (F.C., S.D., O.S.), and Hepatology (D.V.), and Pathology Department (V.P.), University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France; INSERM, UMR 1149, Paris, France (M.R., F.C., O.S., D.V., M.D.B., V.P., V.V.); Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC (K.R.C.); INSERM, UMR 1162, Génomique Fonctionnelle des Tumeurs Solides, Université Paris Descartes, Université Paris Diderot, Université Paris 13, Labex Immuno-Oncology, Paris, France (J.Z.), Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy (F.V.)
| | - François Cauchy
- From the University of Paris, Paris, France (F.V., M.R., F.C., O.S., D.V., V.P., V.V.); Departments of Radiology (M.R., M.D.B., V.V.), Liver Transplantation and Hepatobiliary Surgery (F.C., S.D., O.S.), and Hepatology (D.V.), and Pathology Department (V.P.), University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France; INSERM, UMR 1149, Paris, France (M.R., F.C., O.S., D.V., M.D.B., V.P., V.V.); Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC (K.R.C.); INSERM, UMR 1162, Génomique Fonctionnelle des Tumeurs Solides, Université Paris Descartes, Université Paris Diderot, Université Paris 13, Labex Immuno-Oncology, Paris, France (J.Z.), Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy (F.V.)
| | - Kingshuk R Choudhury
- From the University of Paris, Paris, France (F.V., M.R., F.C., O.S., D.V., V.P., V.V.); Departments of Radiology (M.R., M.D.B., V.V.), Liver Transplantation and Hepatobiliary Surgery (F.C., S.D., O.S.), and Hepatology (D.V.), and Pathology Department (V.P.), University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France; INSERM, UMR 1149, Paris, France (M.R., F.C., O.S., D.V., M.D.B., V.P., V.V.); Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC (K.R.C.); INSERM, UMR 1162, Génomique Fonctionnelle des Tumeurs Solides, Université Paris Descartes, Université Paris Diderot, Université Paris 13, Labex Immuno-Oncology, Paris, France (J.Z.), Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy (F.V.)
| | - Safi Dokmak
- From the University of Paris, Paris, France (F.V., M.R., F.C., O.S., D.V., V.P., V.V.); Departments of Radiology (M.R., M.D.B., V.V.), Liver Transplantation and Hepatobiliary Surgery (F.C., S.D., O.S.), and Hepatology (D.V.), and Pathology Department (V.P.), University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France; INSERM, UMR 1149, Paris, France (M.R., F.C., O.S., D.V., M.D.B., V.P., V.V.); Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC (K.R.C.); INSERM, UMR 1162, Génomique Fonctionnelle des Tumeurs Solides, Université Paris Descartes, Université Paris Diderot, Université Paris 13, Labex Immuno-Oncology, Paris, France (J.Z.), Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy (F.V.)
| | - Olivier Soubrane
- From the University of Paris, Paris, France (F.V., M.R., F.C., O.S., D.V., V.P., V.V.); Departments of Radiology (M.R., M.D.B., V.V.), Liver Transplantation and Hepatobiliary Surgery (F.C., S.D., O.S.), and Hepatology (D.V.), and Pathology Department (V.P.), University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France; INSERM, UMR 1149, Paris, France (M.R., F.C., O.S., D.V., M.D.B., V.P., V.V.); Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC (K.R.C.); INSERM, UMR 1162, Génomique Fonctionnelle des Tumeurs Solides, Université Paris Descartes, Université Paris Diderot, Université Paris 13, Labex Immuno-Oncology, Paris, France (J.Z.), Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy (F.V.)
| | - Dominique Valla
- From the University of Paris, Paris, France (F.V., M.R., F.C., O.S., D.V., V.P., V.V.); Departments of Radiology (M.R., M.D.B., V.V.), Liver Transplantation and Hepatobiliary Surgery (F.C., S.D., O.S.), and Hepatology (D.V.), and Pathology Department (V.P.), University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France; INSERM, UMR 1149, Paris, France (M.R., F.C., O.S., D.V., M.D.B., V.P., V.V.); Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC (K.R.C.); INSERM, UMR 1162, Génomique Fonctionnelle des Tumeurs Solides, Université Paris Descartes, Université Paris Diderot, Université Paris 13, Labex Immuno-Oncology, Paris, France (J.Z.), Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy (F.V.)
| | - Jessica Zucman-Rossi
- From the University of Paris, Paris, France (F.V., M.R., F.C., O.S., D.V., V.P., V.V.); Departments of Radiology (M.R., M.D.B., V.V.), Liver Transplantation and Hepatobiliary Surgery (F.C., S.D., O.S.), and Hepatology (D.V.), and Pathology Department (V.P.), University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France; INSERM, UMR 1149, Paris, France (M.R., F.C., O.S., D.V., M.D.B., V.P., V.V.); Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC (K.R.C.); INSERM, UMR 1162, Génomique Fonctionnelle des Tumeurs Solides, Université Paris Descartes, Université Paris Diderot, Université Paris 13, Labex Immuno-Oncology, Paris, France (J.Z.), Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy (F.V.)
| | - Valérie Paradis
- From the University of Paris, Paris, France (F.V., M.R., F.C., O.S., D.V., V.P., V.V.); Departments of Radiology (M.R., M.D.B., V.V.), Liver Transplantation and Hepatobiliary Surgery (F.C., S.D., O.S.), and Hepatology (D.V.), and Pathology Department (V.P.), University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France; INSERM, UMR 1149, Paris, France (M.R., F.C., O.S., D.V., M.D.B., V.P., V.V.); Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC (K.R.C.); INSERM, UMR 1162, Génomique Fonctionnelle des Tumeurs Solides, Université Paris Descartes, Université Paris Diderot, Université Paris 13, Labex Immuno-Oncology, Paris, France (J.Z.), Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy (F.V.)
| | - Valérie Vilgrain
- From the University of Paris, Paris, France (F.V., M.R., F.C., O.S., D.V., V.P., V.V.); Departments of Radiology (M.R., M.D.B., V.V.), Liver Transplantation and Hepatobiliary Surgery (F.C., S.D., O.S.), and Hepatology (D.V.), and Pathology Department (V.P.), University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France; INSERM, UMR 1149, Paris, France (M.R., F.C., O.S., D.V., M.D.B., V.P., V.V.); Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC (K.R.C.); INSERM, UMR 1162, Génomique Fonctionnelle des Tumeurs Solides, Université Paris Descartes, Université Paris Diderot, Université Paris 13, Labex Immuno-Oncology, Paris, France (J.Z.), Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy (F.V.)
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Li B, Smith TB, Choudhury KR, Harrawood B, Ebner L, Roos JE, Rubin GD. Influence of background lung characteristics on nodule detection with computed tomography. J Med Imaging (Bellingham) 2020; 7:022409. [PMID: 32016136 PMCID: PMC6982463 DOI: 10.1117/1.jmi.7.2.022409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Accepted: 12/26/2019] [Indexed: 11/14/2022] Open
Abstract
We sought to characterize local lung complexity in chest computed tomography (CT) and to characterize its impact on the detectability of pulmonary nodules. Forty volumetric chest CT scans were created by embedding between three and five simulated 5-mm lung nodules into one of three volumetric chest CT datasets. Thirteen radiologists evaluated 157 nodules, resulting in 2041 detection opportunities. Analyzing the substrate CT data prior to nodule insertion, 14 image features were measured within a region around each nodule location. A generalized linear mixed-effects statistical model was fit to the data to verify the contribution of each metric on detectability. The model was tuned for simplicity, interpretability, and generalizability using stepwise regression applied to the primary features and their interactions. We found that variables corresponding to each of five categories (local structural distractors, local intensity, global context, local vascularity, and contiguity with structural distractors) were significant ( p < 0.01 ) factors in a standardized model. Moreover, reader-specific models conveyed significant differences among readers with significant distraction (missed detections) influenced by local intensity- versus local-structural characteristics being mutually exclusive. Readers with significant local intensity distraction ( n = 10 ) detected substantially fewer lung nodules than those who were significantly distracted by local structure ( n = 2 ), 46.1% versus 65.3% mean nodules detected, respectively.
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Affiliation(s)
- Boning Li
- Rice University, Department of Electrical and Computer Engineering, Houston, Texas, United States
| | - Taylor B. Smith
- Duke University School of Medicine, Department of Radiology, Durham, North Carolina, United States
| | - Kingshuk R. Choudhury
- Duke University School of Medicine, Department of Radiology, Durham, North Carolina, United States
- Duke University, Department of Biostatistics and Bioinformatics, Durham, North Carolina, United States
| | - Brian Harrawood
- Duke University School of Medicine, Department of Radiology, Durham, North Carolina, United States
| | - Lukas Ebner
- Inselspital, Universitätsspital Bern, Department of Radiology, Bern, Switzerland
| | - Justus E. Roos
- Cantonal Hospital Lucerne, Department of Radiology, Luzern, Switzerland
| | - Geoffrey D. Rubin
- Duke University School of Medicine, Department of Radiology, Durham, North Carolina, United States
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Ebner L, Virgincar RS, He M, Choudhury KR, Robertson SH, Christe A, Mileto A, Mammarapallil JG, McAdams HP, Driehuys B, Roos JE. Multireader Determination of Clinically Significant Obstruction Using Hyperpolarized 129Xe-Ventilation MRI. AJR Am J Roentgenol 2019; 212:758-765. [PMID: 30779661 PMCID: PMC7079551 DOI: 10.2214/ajr.18.20036] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE The objective of our study was to identify the magnitude and distribution of ventilation defect scores (VDSs) derived from hyperpolarized (HP) 129Xe-MRI associated with clinically relevant airway obstruction. MATERIALS AND METHODS From 2012 to 2015, 76 subjects underwent HP 129Xe-MRI (48 healthy volunteers [mean age ± SD, 54 ± 17 years]; 20 patients with asthma [mean age, 44 ± 20 years]; eight patients with chronic obstructive pulmonary disease [mean age, 67 ± 5 years]). All subjects underwent spirometry 1 day before MRI to establish the presence of airway obstruction (forced expiratory volume in 1 second-to-forced vital capacity ratio [FEV1/FVC] < 70%). Five blinded readers assessed the degree of ventilation impairment and assigned a VDS (range, 0-100%). Interreader agreement was assessed using the Fleiss kappa statistic. Using FEV1/FVC as the reference standard, the optimum VDS threshold for the detection of airway obstruction was estimated using ROC curve analysis with 10-fold cross-validation. RESULTS Compared with the VDSs in healthy subjects, VDSs in patients with airway obstruction were significantly higher (p < 0.0001) and significantly correlated with disease severity (r = 0.66, p < 0.0001). Ventilation defects in subjects with airway obstruction did not show a location-specific pattern (p = 0.158); however, defects in healthy control subjects were more prevalent in the upper lungs (p = 0.014). ROC curve analysis yielded an optimal threshold of 12.4% ± 6.1% (mean ± SD) for clinically significant VDS. Interreader agreement for 129Xe-MRI was substantial (κ = 0.71). CONCLUSION This multireader study of a diverse cohort of patients and control subjects suggests a 129Xe-ventilation MRI VDS of 12.4% or greater represents clinically significant obstruction.
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Affiliation(s)
- Lukas Ebner
- 1 Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710
- 2 Department of Diagnostic, Interventional and Paediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Rohan S Virgincar
- 3 Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC
| | - Mu He
- 3 Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC
- 4 Department of Radiology, University of Washington School of Medicine, Seattle, WA
| | - Kingshuk R Choudhury
- 1 Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710
| | - Scott H Robertson
- 3 Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC
- 4 Department of Radiology, University of Washington School of Medicine, Seattle, WA
| | - Andreas Christe
- 2 Department of Diagnostic, Interventional and Paediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Achille Mileto
- 5 Department of Radiology, Cantonal Hospital, Lucerne, Switzerland
| | - Joseph G Mammarapallil
- 1 Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710
| | - H Page McAdams
- 1 Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710
| | - Bastiaan Driehuys
- 1 Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710
- 2 Department of Diagnostic, Interventional and Paediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- 3 Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC
- 5 Department of Radiology, Cantonal Hospital, Lucerne, Switzerland
| | - Justus E Roos
- 6 Department of Radiology and Nuclear Medicine, Cantonal Hospital, Lucerne, Switzerland
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Natarajan BD, Rushing CN, Cummings MA, Jutzy JM, Choudhury KR, Moravan MJ, Fecci PE, Adamson J, Chmura SJ, Milano MT, Kirkpatrick JP, Salama JK. Predicting intracranial progression following stereotactic radiosurgery for brain metastases: Implications for post SRS imaging. J Radiosurg SBRT 2019; 6:179-187. [PMID: 31998538 PMCID: PMC6774486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Abstract
PURPOSE Follow-up imaging after stereotactic radiosurgery (SRS) is crucial to identify salvageable brain metastases (BM) recurrence. As optimal imaging intervals are poorly understood, we sought to build a predictive model for time to intracranial progression. METHODS Consecutive patients treated with SRS for BM at three institutions from January 1, 2002 to June 30, 2017 were retrospectively reviewed. We developed a model using stepwise regression that identified four prognostic factors and built a predictive nomogram. RESULTS We identified 755 patients with primarily non-small cell lung, breast, and melanoma BMs. Factors such as number of BMs, histology, history of prior whole-brain radiation, and time interval from initial cancer diagnosis to metastases were prognostic for intracranial progression. Per our nomogram, risk of intracranial progression by 3 months post-SRS in the high-risk group was 21% compared to 11% in the low-risk group; at 6 months, it was 43% versus 27%. CONCLUSION We present a nomogram estimating time to BM progression following SRS to potentially personalize surveillance imaging.
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Affiliation(s)
| | - Christel N Rushing
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Michael A Cummings
- Department of Radiation Oncology, University of Rochester, Rochester, NY, USA
| | - Jessica Ms Jutzy
- Department of Radiation and Cellular Oncology, University of Chicago, Chicago, IL, USA
| | - Kingshuk R Choudhury
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | | | - Peter E Fecci
- Department of Neurosurgery, Duke University, Durham, NC, USA
| | - Justus Adamson
- Department of Radiation Oncology, Duke University, Durham, NC, USA
| | - Steven J Chmura
- Department of Radiation and Cellular Oncology, University of Chicago, Chicago, IL, USA
| | - Michael T Milano
- Department of Radiation Oncology, University of Rochester, Rochester, NY, USA
| | | | - Joseph K Salama
- Department of Radiation Oncology, Duke University, Durham, NC, USA
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7
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Tailor TD, Choudhury KR, Tong BC, Christensen JD, Sosa JA, Rubin GD. Geographic Access to CT for Lung Cancer Screening: A Census Tract-Level Analysis of Cigarette Smoking in the United States and Driving Distance to a CT Facility. J Am Coll Radiol 2019; 16:15-23. [DOI: 10.1016/j.jacr.2018.07.007] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 06/15/2018] [Accepted: 07/05/2018] [Indexed: 02/08/2023]
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Kuzminski SJ, Clark MD, Fraser MA, Haswell CC, Morey RA, Liu C, Choudhury KR, Guskiewicz KM, Petrella JR. White Matter Changes Related to Subconcussive Impact Frequency during a Single Season of High School Football. AJNR Am J Neuroradiol 2018; 39:245-251. [PMID: 29269405 DOI: 10.3174/ajnr.a5489] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2017] [Accepted: 10/03/2017] [Indexed: 01/13/2023]
Abstract
BACKGROUND AND PURPOSE The effect of exposing the developing brain of a high school football player to subconcussive impacts during a single season is unknown. The purpose of this pilot study was to use diffusion tensor imaging to assess white matter changes during a single high school football season, and to correlate these changes with impacts measured by helmet accelerometer data and neurocognitive test scores collected during the same period. MATERIALS AND METHODS Seventeen male athletes (mean age, 16 ± 0.73 years) underwent MR imaging before and after the season. Changes in fractional anisotropy across the white matter skeleton were assessed with Tract-Based Spatial Statistics and ROI analysis. RESULTS The mean number of impacts over a 10-g threshold sustained was 414 ± 291. Voxelwise analysis failed to show significant changes in fractional anisotropy across the season or a correlation with impact frequency, after correcting for multiple comparisons. ROI analysis showed significant (P < .05, corrected) decreases in fractional anisotropy in the fornix-stria terminalis and cingulum hippocampus, which were related to impact frequency. The effects were strongest in the fornix-stria terminalis, where decreases in fractional anisotropy correlated with worsening visual memory. CONCLUSIONS Our findings suggest that subclinical neurotrauma related to participation in American football may result in white matter injury and that alterations in white matter tracts within the limbic system may be detectable after only 1 season of play at the high school level.
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Affiliation(s)
- S J Kuzminski
- From the Department of Radiology (S.J.K., C.L., K.R.C., J.R.P.)
- Department of Radiological Sciences (S.J.K.), University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - M D Clark
- Department of Exercise and Sport Science (M.D.C., M.A.F., K.M.G.), University of North Carolina, Chapel Hill, North Carolina
| | - M A Fraser
- Department of Exercise and Sport Science (M.D.C., M.A.F., K.M.G.), University of North Carolina, Chapel Hill, North Carolina
| | - C C Haswell
- Brain Imaging and Analysis Center (C.C.H., R.A.M., C.L., J.R.P.)
| | - R A Morey
- Brain Imaging and Analysis Center (C.C.H., R.A.M., C.L., J.R.P.)
- Department of Translational Neuroscience (R.A.M.), Duke University, Durham, North Carolina
| | - C Liu
- From the Department of Radiology (S.J.K., C.L., K.R.C., J.R.P.)
- Brain Imaging and Analysis Center (C.C.H., R.A.M., C.L., J.R.P.)
| | - K R Choudhury
- From the Department of Radiology (S.J.K., C.L., K.R.C., J.R.P.)
| | - K M Guskiewicz
- Department of Exercise and Sport Science (M.D.C., M.A.F., K.M.G.), University of North Carolina, Chapel Hill, North Carolina
| | - J R Petrella
- From the Department of Radiology (S.J.K., C.L., K.R.C., J.R.P.)
- Brain Imaging and Analysis Center (C.C.H., R.A.M., C.L., J.R.P.)
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Sun Z, Adam MA, Kim J, Turner MC, Fisher DA, Choudhury KR, Czito BG, Migaly J, Mantyh CR. Association between neoadjuvant chemoradiation and survival for patients with locally advanced rectal cancer. Colorectal Dis 2017; 19:1058-1066. [PMID: 28586509 DOI: 10.1111/codi.13754] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Accepted: 04/18/2017] [Indexed: 12/30/2022]
Abstract
AIM To examine the overall survival differences for the following neoadjuvant therapy modalities - no therapy, chemotherapy alone, radiation alone and chemoradiation - in a large cohort of patients with locally advanced rectal cancer. METHOD Adults with clinical Stage II and III rectal adenocarcinoma were selected from the National Cancer Database and grouped by type of neoadjuvant therapy received: no therapy, chemotherapy only, radiotherapy only or chemoradiation. Multivariable regression methods were used to compare adjusted differences in perioperative outcomes and overall survival. RESULTS Among 32 978 patients included, 9714 (29.5%) received no neoadjuvant therapy, 890 (2.7%) chemotherapy only, 1170 (3.5%) radiotherapy only and 21 204 (64.3%) chemoradiation. Compared with no therapy, chemotherapy or radiotherapy alone were not associated with any adjusted differences in surgical margin positivity, permanent colostomy rate or overall survival (all P > 0.05). With adjustment, neoadjuvant chemoradiation vs no therapy was associated with a lower likelihood of surgical margin positivity (OR 0.74, P < 0.001), decreased rate of permanent colostomy (OR 0.77, P < 0.001) and overall survival [hazard ratio (HR) 0.79, P < 0.001]. When compared with chemotherapy or radiotherapy alone, chemoradiation remained associated with improved overall survival (vs chemotherapy alone HR 0.83, P = 0.04; vs radiotherapy alone HR 0.83, P < 0.019). CONCLUSION Neoadjuvant chemoradiation, not chemotherapy or radiotherapy alone, is important for sphincter preservation, R0 resection and survival for patients with locally advanced rectal cancer. Despite this finding, one-third of patients in the United States with locally advanced rectal cancer fail to receive stage-appropriate chemoradiation.
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Affiliation(s)
- Z Sun
- Department of Surgery, Duke University, Durham, North Carolina, USA
| | - M A Adam
- Department of Surgery, Duke University, Durham, North Carolina, USA
| | - J Kim
- Department of Surgery, Duke University, Durham, North Carolina, USA
| | - M C Turner
- Department of Surgery, Duke University, Durham, North Carolina, USA
| | - D A Fisher
- Department of Medicine, Duke University, Durham, North Carolina, USA
| | - K R Choudhury
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA
| | - B G Czito
- Department of Radiation Oncology, Duke University, Durham, North Carolina, USA
| | - J Migaly
- Department of Surgery, Duke University, Durham, North Carolina, USA
| | - C R Mantyh
- Department of Surgery, Duke University, Durham, North Carolina, USA
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Sofue K, Burke LM, Nilmini V, Alagiyawanna M, Muir AJ, Choudhury KR, Jaffe TA, Semelka RC, Bashir MR. Liver imaging reporting and data system category 4 observations in MRI: Risk factors predicting upgrade to category 5. J Magn Reson Imaging 2017; 46:783-792. [DOI: 10.1002/jmri.25627] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Accepted: 12/22/2016] [Indexed: 11/08/2022] Open
Affiliation(s)
- Keitaro Sofue
- Department of Radiology; Duke University Medical Center; Durham North Carolina USA
- Department of Radiology; Kobe University Graduate School of Medicine; Kobe Japan
| | - Lauren M.B. Burke
- Department of Radiology; University of North Carolina at Chapel Hill; Chapel Hill North Carolina USA
| | - Viragi Nilmini
- Department of Radiology; University of North Carolina at Chapel Hill; Chapel Hill North Carolina USA
| | - Madavi Alagiyawanna
- Department of Radiology; University of North Carolina at Chapel Hill; Chapel Hill North Carolina USA
| | - Andrew J. Muir
- Department of Medicine; Duke University Medical Center; Durham North Carolina USA
| | | | - Tracy A. Jaffe
- Department of Radiology; Duke University Medical Center; Durham North Carolina USA
| | - Richard C. Semelka
- Department of Radiology; University of North Carolina at Chapel Hill; Chapel Hill North Carolina USA
| | - Mustafa R. Bashir
- Department of Radiology; Duke University Medical Center; Durham North Carolina USA
- Center for Advanced Magnetic Resonance Development; Duke University Medical Center; Durham North Carolina USA
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11
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Kranz PG, Joshi AB, Roy LA, Choudhury KR, Amrhein TJ. Inadvertent Intrafacet Injection during Lumbar Interlaminar Epidural Steroid Injection: A Comparison of CT Fluoroscopic and Conventional Fluoroscopic Guidance. AJNR Am J Neuroradiol 2016; 38:398-402. [PMID: 28059710 DOI: 10.3174/ajnr.a5000] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2016] [Accepted: 09/02/2016] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Inadvertent intrafacet injection can occur during interlaminar epidural steroid injection, resulting in a false-positive loss of resistance and nontarget injection of medication. The purpose of this investigation was to compare the observed rates of this phenomenon during lumbar interlaminar epidural steroid injection performed by using conventional fluoroscopic and CT fluoroscopic guidance. MATERIALS AND METHODS We retrospectively reviewed 349 lumbar interlaminar epidural steroid injections performed by using conventional fluoroscopy or CT fluoroscopic guidance to determine the observed rates of inadvertent intrafacet injection with each technique. Cases of inadvertent intrafacet injection were classified as either recognized or unrecognized by the proceduralist at the time of the procedure. Multivariate logistic regression was used to determine the independent effect of imaging guidance technique, age, and sex. RESULTS The rate of inadvertent intrafacet injection was observed to be 7.5% in the CT fluoroscopic group and 0.75% in the conventional fluoroscopy group. All 16 cases identified from CT fluoroscopic procedures were recognized during the procedure; the single case identified from conventional fluoroscopy procedures was not recognized prospectively. The type of imaging guidance showed a statistically significant effect on the detection of the phenomenon (OR for conventional fluoroscopy versus CT fluoroscopy = 0.10, P = .03) that was independent of differences in age or sex. CONCLUSIONS Inadvertent intrafacet injection is identified during CT fluoroscopic-guided interlaminar epidural steroid injection at a rate that is 10-fold greater than the same procedure performed under conventional fluoroscopy guidance.
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Affiliation(s)
- P G Kranz
- From the Departments of Radiology (P.G.K., K.R.C., T.J.A.)
| | | | - L A Roy
- Anesthesiology (L.A.R.), Duke University Medical Center, Durham, North Carolina
| | - K R Choudhury
- From the Departments of Radiology (P.G.K., K.R.C., T.J.A.)
| | - T J Amrhein
- From the Departments of Radiology (P.G.K., K.R.C., T.J.A.)
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12
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Burke LMB, Sofue K, Alagiyawanna M, Nilmini V, Muir AJ, Choudhury KR, Semelka RC, Bashir MR. Natural history of liver imaging reporting and data system category 4 nodules in MRI. Abdom Radiol (NY) 2016; 41:1758-66. [PMID: 27145771 DOI: 10.1007/s00261-016-0762-3] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
PURPOSE The purpose of this study was to characterize the MR imaging features and outcomes of liver imaging reporting and data system (LI-RADS) category 4 (LR4) nodules, with an emphasis on upgrade to category 5 (LR5) and development of contraindications to curative therapy. METHODS Institutional review board approval was obtained for this retrospective, dual-institutional Health Insurance Portability and Accountability Act-compliant study. The requirement for informed consent was waived. Contrast-enhanced MRI studies performed on patients with cirrhosis were retrospectively assessed using LI-RADS 2014 by at least two readers. All nodules were individually evaluated to determine their major imaging features at diagnosis, and follow-up data were used to determine the associated imaging outcomes. RESULTS One hundred eighty-one untreated LR4 nodules in 139 patients had adequate imaging and follow-up for inclusion in the study. Most (61% [111/181]) of these demonstrated arterial phase hyperenhancement, washout, and diameter less than 20 mm. During the follow-up period (median 163 days), 31% (56/181) of the nodules upgraded to LR5, 40% (73/181) remained stable, and 29% (52/181) downgraded. Of the nodules that upgraded, 61% (34/56) increased their size category and 54% (30/56) developed newly visualized capsules. No LR4 nodules developed venous invasion, satellites nodules, or new intrahepatic or extrahepatic metastatic disease. 75% (42/56) of the nodules that upgraded to LR5 did so within 6 months. CONCLUSIONS Approximately one-third of LR4 nodules upgrade to LR5, and the short-term risk of developing venous invasion or metastasis is very low.
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Affiliation(s)
- Lauren M B Burke
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Keitaro Sofue
- Department of Radiology, Duke University Medical Center, 3808, Durham, NC, 27710, USA
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Madavi Alagiyawanna
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Viragi Nilmini
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Andrew J Muir
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Kingshuk R Choudhury
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Richard C Semelka
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Mustafa R Bashir
- Department of Radiology, Duke University Medical Center, 3808, Durham, NC, 27710, USA.
- Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC, USA.
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13
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Kranz PG, Tanpitukpongse TP, Choudhury KR, Amrhein TJ, Gray L. Imaging Signs in Spontaneous Intracranial Hypotension: Prevalence and Relationship to CSF Pressure. AJNR Am J Neuroradiol 2016; 37:1374-1378. [PMID: 26869465 PMCID: PMC7960347 DOI: 10.3174/ajnr.a4689] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2015] [Accepted: 11/27/2015] [Indexed: 08/10/2023]
Abstract
BACKGROUND AND PURPOSE Patients with spontaneous intracranial hypotension often exhibit low CSF pressure and changes on brain MR imaging and/or evidence of CSF leak on myelography. We investigated whether individual imaging signs of spontaneous intracranial hypotension correlate with measured CSF pressure and how frequently these 2 markers of spontaneous intracranial hypotension were concordant. MATERIALS AND METHODS We performed a retrospective, cross-sectional study of 99 subjects with spontaneous intracranial hypotension. Prevalence of brain and myelographic imaging signs of spontaneous intracranial hypotension was recorded. CSF pressure among subjects with or without individual imaging signs was compared by using a 2-tailed t test and ANOVA. Concordance between low CSF pressure (≤6 cm H2O) and imaging was defined as the presence of the sign in a subject with low CSF pressure or absence of the sign when pressure was not low. RESULTS Dural enhancement, brain sagging, and venous distension sign were present in 83%, 61%, and 75% of subjects, respectively, and myelographic evidence of CSF leak was seen in 55%. Marginal correlations between CSF pressure and brain sagging (P = .046) and the venous distension sign (P = .047) were found. Dural enhancement and myelographic evidence of leak were not significantly correlated with CSF pressure. Rates of concordance between imaging signs and low CSF pressure were generally low, ranging from 39% to 55%. CONCLUSIONS Brain and myelographic signs of spontaneous intracranial hypotension correlate poorly with CSF pressure. These findings reinforce the need to base the diagnosis of spontaneous intracranial hypotension on multiple diagnostic criteria and suggest the presence of patient-specific variables that influence CSF pressure in these individuals.
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Affiliation(s)
- P G Kranz
- From the Department of Radiology, Duke University Medical Center, Durham, North Carolina.
| | - T P Tanpitukpongse
- From the Department of Radiology, Duke University Medical Center, Durham, North Carolina
| | - K R Choudhury
- From the Department of Radiology, Duke University Medical Center, Durham, North Carolina
| | - T J Amrhein
- From the Department of Radiology, Duke University Medical Center, Durham, North Carolina
| | - L Gray
- From the Department of Radiology, Duke University Medical Center, Durham, North Carolina
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Makar RA, Bashir MR, Haystead CM, Iseman C, Mayes N, Hebert S, Allen BC, Bhattacharya SD, Choudhury KR, Jaffe TA. Diagnostic performance of MDCT in identifying closed loop small bowel obstruction. Abdom Radiol (NY) 2016; 41:1253-60. [PMID: 26830421 DOI: 10.1007/s00261-016-0656-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
PURPOSE To assess the diagnostic performance of MDCT in the diagnosis of closed loop small bowel obstruction. MATERIALS AND METHODS One hundred fifty patients with CT reports including "small bowel obstruction (SBO)" between 1/30/2011 and 12/4/2012 were included (65 men, 85 women, mean age 63 years). CT examinations were independently and blindly reviewed by five radiologists to determine the presence of closed loop obstruction (CL-SBO) and to assess findings of bowel ischemia. Clinical records were reviewed to determine management and operative findings. Using operative findings as a gold standard, reader agreement for the diagnosis of and the CT findings associated with CLO was analyzed using Pearson's correlation (r). Positive predictive value (PPV) and negative predictive value for the diagnosis of CL-SBO and CT signs of bowel ischemia were analyzed. RESULTS Eighty-eight of 150 patients underwent operative intervention for SBO and 24/88 were considered CL-SBO operatively. Average reader sensitivity and specificity for CL-SBO was 53 % (95 % CI 44-63 %) and 83 % (95 % CI 79-87 %). Reader agreement on CL-SBO was poor to moderate (K = 0.39-0.63). Reader agreement for CT signs of bowel ischemia resulting in a diagnosis of CL-SBO was weak (r = 0.19-0.32). CONCLUSION The CT diagnosis of CL-SBO is complex and associated imaging findings have variable sensitivity for predicting a closed loop operative diagnosis. CT can be helpful in excluding a closed loop component in patients with SBO.
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15
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Lee CT, Zhou Y, Siamakpour-Reihani S, Choudhury KR, Dewhirst MW, Horton JK. Abstract 3302: Subtype-specific radiation response in a mouse model of human breast cancer. Cancer Res 2015. [DOI: 10.1158/1538-7445.am2015-3302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Radiation therapy is an important component of multimodal treatment for women with breast cancer. However, breast radiotherapy is currently delivered uniformly, regardless of breast cancer subtype. Recent clinical data have suggested that different subtypes of breast cancer may respond differently to radiation. Understanding the intrinsic variation of radiation response in breast cancer subtypes would lay the foundation for individualized radiotherapy designed to limit toxicity in those with radiation responsive cancers. Furthermore, identification of molecular targets can be used to modulate treatment outcomes in patients with radiation resistant tumors.
Our previous in vitro studies have identified an association between breast cancer subtype and gene expression profiles in response to radiation in breast tumor cell lines. Cell lines with the greatest response to radiation were luminal subtype and exhibited preferential induction of genes involved in programmed cell death, such as FAS. In this study, we investigated tumor growth and FAS induction in response to radiation in a mouse model of breast cancer. MCF7 (luminal) or SUM159 (basal) cells were implanted orthotopically into the dorsal mammary fat pad of athymic nude mice. These mice were then treated with different doses of radiation. Our results showed that radiation treatment inhibited MCF7 tumor growth in a dose-dependent manner, while radiation treatment had little effect on SUM159 tumor growth. In addition, FAS was induced in MCF7 tumors 24 hour after radiation, but there was no change in FAS expression in SUM159 tumors. However, injection of FAS-stimulating antibody intratumorally led to downstream caspase 8 and PARP activation, suggesting that the FAS signaling pathway remains intact and can be used to modulate radiation response in the resistant SUM159 cells.
In conclusion, these results suggest that there is intrinsic variation in radiation response among breast cancer subtypes and that stimulation of FAS may have the potential to modulate radiation response.
Citation Format: Chen-Ting Lee, Yingchun Zhou, Sharareh Siamakpour-Reihani, Kingshuk R. Choudhury, Mark W. Dewhirst, Janet K. Horton. Subtype-specific radiation response in a mouse model of human breast cancer. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 3302. doi:10.1158/1538-7445.AM2015-3302
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Samei E, Lin Y, Choudhury KR, McAdams HP. Automated characterization of perceptual quality of clinical chest radiographs: validation and calibration to observer preference. Med Phys 2015; 41:111918. [PMID: 25370651 DOI: 10.1118/1.4899183] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
PURPOSE The authors previously proposed an image-based technique [Y. Lin et al. Med. Phys. 39, 7019-7031 (2012)] to assess the perceptual quality of clinical chest radiographs. In this study, an observer study was designed and conducted to validate the output of the program against rankings by expert radiologists and to establish the ranges of the output values that reflect the acceptable image appearance so the program output can be used for image quality optimization and tracking. METHODS Using an IRB-approved protocol, 2500 clinical chest radiographs (PA/AP) were collected from our clinical operation. The images were processed through our perceptual quality assessment program to measure their appearance in terms of ten metrics of perceptual image quality: lung gray level, lung detail, lung noise, rib-lung contrast, rib sharpness, mediastinum detail, mediastinum noise, mediastinum alignment, subdiaphragm-lung contrast, and subdiaphragm area. From the results, for each targeted appearance attribute/metric, 18 images were selected such that the images presented a relatively constant appearance with respect to all metrics except the targeted one. The images were then incorporated into a graphical user interface, which displayed them into three panels of six in a random order. Using a DICOM calibrated diagnostic display workstation and under low ambient lighting conditions, each of five participating attending chest radiologists was tasked to spatially order the images based only on the targeted appearance attribute regardless of the other qualities. Once ordered, the observer also indicated the range of image appearances that he/she considered clinically acceptable. The observer data were analyzed in terms of the correlations between the observer and algorithmic rankings and interobserver variability. An observer-averaged acceptable image appearance was also statistically derived for each quality attribute based on the collected individual acceptable ranges. RESULTS The observer study indicated that, for each image quality attribute, the averaged observer ranking strongly correlated with the algorithmic ranking (linear correlation coefficient R > 0.92), with highest correlation (R = 1) for lung gray level and the lowest (R = 0.92) for mediastinum noise. There was a strong concordance between the observers in terms of their rankings (i.e., Kendall's tau agreement > 0.84). The observers also generally indicated similar tolerance and preference levels in terms of acceptable ranges, as 85% of the values were close to the overall tolerance or preference levels and the differences were smaller than 0.15. CONCLUSIONS The observer study indicates that the previously proposed technique provides a robust reflection of the perceptual image quality in clinical images. The results established the range of algorithmic outputs for each metric that can be used to quantitatively assess and qualify the appearance quality of clinical chest radiographs.
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Affiliation(s)
- Ehsan Samei
- Carl E. Ravin Advanced Imaging Laboratories, Departments of Radiology, Physics, Biomedical Engineering, Electrical and Computer Engineering, Medical Physics Graduate Program, Duke Clinical Imaging Physics Group, Duke University, Durham, North Carolina 27710
| | - Yuan Lin
- Carl E. Ravin Advanced Imaging Laboratories, Departments of Radiology and Physics, Duke University, Durham, North Carolina 27710
| | - Kingshuk R Choudhury
- Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology and Biostatistics and Bioinformatics, Duke University, Durham, North Carolina 27710
| | - H Page McAdams
- Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University, Durham, North Carolina 27710
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Grady AT, Sosa JA, Tanpitukpongse TP, Choudhury KR, Gupta RT, Hoang JK. Radiology reports for incidental thyroid nodules on CT and MRI: high variability across subspecialties. AJNR Am J Neuroradiol 2015; 36:397-402. [PMID: 25147197 DOI: 10.3174/ajnr.a4089] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND AND PURPOSE Variability in radiologists' reporting styles and recommendations for incidental thyroid nodules can lead to confusion among clinicians and may contribute to inconsistent patient care. Our aim was to describe reporting practices of radiologists for incidental thyroid nodules seen on CT and MR imaging and to determine factors that influence reporting styles. MATERIALS AND METHODS This is a retrospective study of patients with incidental thyroid nodules reported on CT and MR imaging between January and December 2011, identified by text search for "thyroid nodule" in all CT and MR imaging reports. The studies included CT and MR imaging scans of the neck, spine, and chest. Radiology reports were divided into those that mentioned the incidental thyroid nodules only in the "Findings" section versus those that reported the incidental thyroid nodules in the "Impression" section as well, because this latter reporting style gives more emphasis to the finding. Univariate and multivariate analyses were performed to identify radiologist, patient, and nodule characteristics that influenced reporting styles. RESULTS Three hundred seventy-five patients met the criterion of having incidental thyroid nodules. One hundred thirty-eight (37%) patients had incidental thyroid nodules reported in the "Impression" section. On multivariate analysis, only radiologists' divisions and nodule size were associated with reporting in "Impression." Chest radiologists and neuroradiologists were more likely to report incidental thyroid nodules in the "Impression" section than their abdominal imaging colleagues, and larger incidental thyroid nodules were more likely to be reported in "Impression" (P ≤ .03). Seventy-three percent of patients with incidental thyroid nodules of ≥20 mm were reported in the "Impression" section, but higher variability in reporting was seen for incidental thyroid nodules measuring 10-14 mm and 15-19 mm, which were reported in "Impression" for 61% and 50% of patients, respectively. CONCLUSIONS Reporting practices for incidental thyroid nodules detected on CT and MR imaging are predominantly influenced by nodule size and the radiologist's subspecialty. Reporting was highly variable for nodules measuring 10-19 mm; this finding can be partially attributed to different reporting styles among radiology subspecialty divisions. The variability demonstrated in this study further underscores the need to develop CT and MR imaging practice guidelines with the goal of standardizing reporting of incidental thyroid nodules and thereby potentially improving the consistency and quality of patient care.
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Affiliation(s)
- A T Grady
- From the Departments of Radiology (A.T.G., T.P.T., K.R.C., R.T.G., J.K.H.)
| | - J A Sosa
- Surgery (J.A.S.) Duke Cancer Institute (J.A.S.) Duke Clinical Research Institute (J.A.S.), Duke University Medical Center, Durham, North Carolina
| | - T P Tanpitukpongse
- From the Departments of Radiology (A.T.G., T.P.T., K.R.C., R.T.G., J.K.H.)
| | - K R Choudhury
- From the Departments of Radiology (A.T.G., T.P.T., K.R.C., R.T.G., J.K.H.)
| | - R T Gupta
- From the Departments of Radiology (A.T.G., T.P.T., K.R.C., R.T.G., J.K.H.)
| | - J K Hoang
- From the Departments of Radiology (A.T.G., T.P.T., K.R.C., R.T.G., J.K.H.) Radiation Oncology (J.K.H.)
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Subashi E, Choudhury KR, Johnson GA. An analysis of the uncertainty and bias in DCE-MRI measurements using the spoiled gradient-recalled echo pulse sequence. Med Phys 2014; 41:032301. [PMID: 24593738 DOI: 10.1118/1.4865790] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
PURPOSE The pharmacokinetic parameters derived from dynamic contrast-enhanced (DCE) MRI have been used in more than 100 phase I trials and investigator led studies. A comparison of the absolute values of these quantities requires an estimation of their respective probability distribution function (PDF). The statistical variation of the DCE-MRI measurement is analyzed by considering the fundamental sources of error in the MR signal intensity acquired with the spoiled gradient-echo (SPGR) pulse sequence. METHODS The variance in the SPGR signal intensity arises from quadrature detection and excitation flip angle inconsistency. The noise power was measured in 11 phantoms of contrast agent concentration in the range [0-1] mM (in steps of 0.1 mM) and in onein vivo acquisition of a tumor-bearing mouse. The distribution of the flip angle was determined in a uniform 10 mM CuSO4 phantom using the spin echo double angle method. The PDF of a wide range of T1 values measured with the varying flip angle (VFA) technique was estimated through numerical simulations of the SPGR equation. The resultant uncertainty in contrast agent concentration was incorporated in the most common model of tracer exchange kinetics and the PDF of the derived pharmacokinetic parameters was studied numerically. RESULTS The VFA method is an unbiased technique for measuringT1 only in the absence of bias in excitation flip angle. The time-dependent concentration of the contrast agent measured in vivo is within the theoretically predicted uncertainty. The uncertainty in measuring K(trans) with SPGR pulse sequences is of the same order, but always higher than, the uncertainty in measuring the pre-injection longitudinal relaxation time (T10). The lowest achievable bias/uncertainty in estimating this parameter is approximately 20%-70% higher than the bias/uncertainty in the measurement of the pre-injection T1 map. The fractional volume parameters derived from the extended Tofts model were found to be extremely sensitive to the variance in signal intensity. The SNR of the pre-injection T1 map indicates the limiting precision with which K(trans) can be calculated. CONCLUSIONS Current small-animal imaging systems and pulse sequences robust to motion artifacts have the capacity for reproducible quantitative acquisitions with DCE-MRI. In these circumstances, it is feasible to achieve a level of precision limited only by physiologic variability.
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Affiliation(s)
- Ergys Subashi
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, North Carolina 27710 and Medical Physics Graduate Program, Duke University Medical Center, Durham, North Carolina 27710
| | - Kingshuk R Choudhury
- Department of Biomedical Engineering, Duke University Medical Center, Durham, North Carolina 27710
| | - G Allan Johnson
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, North Carolina 27710; Medical Physics Graduate Program, Duke University Medical Center, Durham, North Carolina 27710; Department of Biomedical Engineering, Duke University Medical Center, Durham, North Carolina 27710; and Department of Radiology, Duke University Medical Center, Durham, North Carolina 27710
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Hoang JK, Choudhury KR, Eastwood JD, Esclamado RM, Lyman GH, Shattuck TM, Nguyen XV. An exponential growth in incidence of thyroid cancer: trends and impact of CT imaging. AJNR Am J Neuroradiol 2013; 35:778-83. [PMID: 24113469 DOI: 10.3174/ajnr.a3743] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Workup of incidental thyroid nodules detected on CT imaging could be contributing to the increased diagnosis of small thyroid cancers. The purpose of this study was to evaluate recent trends in the incidence of thyroid cancer, and to determine the relationship between annual CT imaging volume and rate of thyroid cancer diagnosis. MATERIALS AND METHODS This retrospective cohort study used data bases for thyroid cancer and CT imaging volume. Thyroid cancer data from 1983-2009 were obtained from the Surveillance, Epidemiology, and End Results data base. National Council of Radiation Protection and Measurements Report No. 160 provided data on hospital and nonhospital CT imaging volume for 1993-2006. Trends in thyroid cancer were modeled for overall incidence on the basis of patient age, tumor histologic features, and tumor size and stage. Linear regression analysis was performed to evaluate the strength of the relationship between annual CT scan volume and the incidence of thyroid cancer by tumor size and histologic type. RESULTS In 2009, the incidence of thyroid cancer was 14 per 100,000, which represented a 1.9-fold increase compared with 2000. The growth in incidence was exponential compared with a minimal linear increase in thyroid cancer mortality rate. The subgroup with the greatest change was subcentimeter papillary carcinoma, with doubling in incidence approximately every 6.2 years. The linear relationship between annual CT scan volume and the incidence of subcentimeter papillary carcinoma was very strong (R(2) = 0.98; P < .0001). CONCLUSIONS The incidence of subcentimeter papillary carcinoma is growing at an exponential rate without significant change in mortality rate. The strong linear relationship between new cases of subcentimeter papillary carcinomas and the number of CT scans per year suggests that an increase in CT scans may increase the detection of incidental thyroid cancers.
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Affiliation(s)
- J K Hoang
- From the Departments of Radiology (J.K.H., K.R.C., J.D.E.)
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Hoang JK, Das SK, Choudhury KR, Yoo DS, Brizel DM. Using FDG-PET to measure early treatment response in head and neck squamous cell carcinoma: quantifying intrinsic variability in order to understand treatment-induced change. AJNR Am J Neuroradiol 2013; 34:1428-33. [PMID: 23391836 DOI: 10.3174/ajnr.a3412] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND AND PURPOSE Quantification of both baseline variability and intratreatment change is necessary to optimally incorporate functional imaging into adaptive therapy strategies for HNSCC. Our aim was to define the baseline variability of SUV on FDG-PET scans in patients with head and neck squamous cell carcinoma and to compare it with early treatment-induced SUV change. MATERIALS AND METHODS Patients with American Joint Committee on Cancer stages III-IV HNSCC were imaged with 2 baseline PET/CT scans and a third scan after 1-2 weeks of curative-intent chemoradiation. SUVmax and SUVmean were measured in the primary tumor and most metabolically active nodal metastasis. Repeatability was assessed with Bland-Altman plots. Mean percentage differences (%ΔSUV) in baseline SUVs were compared with intratreatment %ΔSUV. The repeatability coefficient for baseline %ΔSUV was compared with intratreatment %ΔSUV. RESULTS Seventeen patients had double-baseline imaging, and 15 of these patients also had intratreatment scans. Bland-Altman plots showed excellent baseline agreement for nodal metastases SUVmax and SUVmean, but not primary tumor SUVs. The mean baseline %ΔSUV was lowest for SUVmax in nodes (7.6% ± 5.2%) and highest for SUVmax in primary tumor (12.6% ± 9.2%). Corresponding mean intratreatment %ΔSUVmax was 14.5% ± 21.6% for nodes and 15.2% ± 22.4% for primary tumor. The calculated RC for baseline nodal SUVmax and SUVmean were 10% and 16%, respectively. The only patient with intratreatment %ΔSUV above these RCs was 1 of 2 patients with residual disease after CRT. CONCLUSIONS Baseline SUV variability for HNSCC is less than intratreatment change for SUV in nodal disease. Evaluation of early treatment response should be measured quantitatively in nodal disease rather than the primary tumor, and assessment of response should consider intrinsic baseline variability.
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Affiliation(s)
- J K Hoang
- Department of Radiology, Duke University Medical Center, Durham, NC 27710, USA.
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Schauberger JS, Kranz PG, Choudhury KR, Eastwood JD, Gray L, Hoang JK. CT-guided lumbar nerve root injections: are we using the correct radiation dose settings? AJNR Am J Neuroradiol 2012; 33:1855-9. [PMID: 22576884 DOI: 10.3174/ajnr.a3096] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Selecting a lower tube current for CT fluoroscopic spine injections is a method of radiation dose reduction. Ideally tube current should be tailored to the patient's body habitus, but a greater influence on tube current may be the proceduralist's personal preference. The purpose of this study was to compare tube current and fluoroscopy time of different proceduralists for lumbar spine CT-guided selective nerve root blocks, and to correlate image quality to patient diameter and tube current. MATERIALS AND METHODS Eighty CT-guided SNRBs performed by 4 proceduralists were retrospectively reviewed for tube current and fluoroscopy time. Patient body habitus was evaluated by measuring anteroposterior diameters on scout images. Image quality was evaluated objectively and subjectively: noise was measured in the psoas muscle and images were graded on a 3-point scale. RESULTS The mean tube current was 59 ± 20 mA and mean fluoroscopy time was 10.4 ± 7.5 seconds. The mean tube current between proceduralists differed by almost 2-fold, and there was greater than 2-fold difference in mean fluoroscopy time (P < .0001 and .01, respectively). Mean AP body size was 27 ± 5 cm. When categoric data of tube current and AP diameter were analyzed, only AP diameter was a statistically significant variable influencing image noise (P = .009). Twenty of 23 patients with AP diameter ≤30 cm had adequate to excellent image quality, even with lower tube current of ≤40 mA. CONCLUSIONS Wide variability in tube current selection between proceduralists calls for a more objective method of selecting tube current to minimize radiation dose. Body size, measured by AP diameter, had the greatest influence on image quality. This could be used to identify patients for lower tube current selection.
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Affiliation(s)
- J S Schauberger
- Departments of Radiology, Duke University Medical Center, Durham, North Carolina 27710, USA
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Fanning L, Kenny-Walsh E, Levis J, Choudhury KR, Cannon B, Sheehan M, Whelton M, Shanahan F. Natural fluctuations of hepatitis C viral load in a homogeneous patient population: a prospective study. Hepatology 2000; 31:225-9. [PMID: 10613750 DOI: 10.1002/hep.510310133] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
Abstract
The aim of this study was to determine the variation in hepatitis C viral load over an extended period of patient follow up. Serum samples were collected from 49 female individuals who were identified as having been infected from the same source of hepatitis C-contaminated anti-D immunoglobulin during the period from 1977 (May) to 1978 (November). All patients attended the hepatitis C clinic at Cork University Hospital, Cork, Ireland. The study group was homogeneous with respect to gender, hepatitis C virus (HCV) genotype (1b), and duration of infection. None of the patients had received antiviral therapy at the time of completion of study. Viral load quantifications were assessed using the Roche Monitor (F. Hoffmann-La Roche, Ltd., Basel, Switzerland) assay. The mean age of the study group at time of infection was 30.3 years (SD +/- 6.1) with a range from 18.5 to 43 years. The mean time of follow-up was 4. 1 years (SD +/- 1.0) with a range from 1.2 to 5 years. The mean rate of change of viral load per year was 0.23 log(10) viral copies per mL serum for the study group (SD +/- 0.19) with a range of -0.18 to 0.78 that was significantly different from zero, P < 10(-10). The rate of change of viral load per year was negatively correlated with viral load at first determination, r = -.35, P =.01. Age at infection did not correlate with the slope of change of viral load, P =.10. In conclusion, most women infected with HCV 1b will have an increase in viral load over time but a few patients who acquire infection early in adult life will show a decrease in viral load.
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Affiliation(s)
- L Fanning
- Hepatitis C Unit, Department of Medicine, Cork, University College Cork, Cork, Ireland.
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Chaudhuri BK, Choudhury KR, Banerjee S. Green's-function theory of ferroelectric phase transitions in hydrogen-bonded triglycine sulfate with the pseudospin-lattice coupled-mode model: A unified theory of structural phase transitions. I. Static and dynamic properties. Phys Rev B Condens Matter 1988; 38:689-707. [PMID: 9945233 DOI: 10.1103/physrevb.38.689] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Chaudhuri BK, Choudhury KR, Banerjee S. Green's-function theory of ferroelectric phase transitions in hydrogen-bonded triglycine sulfate with the pseudospin-lattice coupled-mode model: A unified theory of structural phase transitions. II. Nonlinear properties. Phys Rev B Condens Matter 1988; 38:708-714. [PMID: 9945234 DOI: 10.1103/physrevb.38.708] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Abstract
A theoretical analysis for the problem of wave propagation in arteries is presented. Blood is treated as a Newtonian, viscous incompressible fluid. On the basis of information derived from experimental investigations on the mechanical properties of wall tissues, the arterial wall is considered to be nonlinearly viscoelastic and orthotropic. The analysis is carried out for a cylindrical artery, under the purview of membrane theory, by taking account the effect of initial stresses. The motion of the wall and that of the fluid are assumed to be axisymmetric. Particular emphasis has been paid to the propagation of small amplitude harmonic waves whose wavelength is large compared to the radius of the vessel. By employing the equations of motion of the fluid and those for the wall, together with the equations of continuity, a frequency equation is derived by exploiting the conditions of continuity of the velocity of the arterial wall and that of blood on the endosteal surface of the wall. In order to illustrate the validity of the derived analytical expressions a quantitative analysis is made for the variations of the phase velocities as well as the transmission coefficient with frequency corresponding to different transmural pressures which relate to different initial stresses. Computational results indicate that phase velocities increase with the increase of transmural pressures.
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