66 research outputs found

    Noninvasive Risk Stratification of Lung Adenocarcinoma using Quantitative Computed Tomography

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    IntroductionLung cancer remains the leading cause of cancer-related deaths in the United States and worldwide. Adenocarcinoma is the most common type of lung cancer and encompasses lesions with widely variable clinical outcomes. In the absence of noninvasive risk stratification, individualized patient management remains challenging. Consequently a subgroup of pulmonary nodules of the lung adenocarcinoma spectrum is likely treated more aggressively than necessary.MethodsConsecutive patients with surgically resected pulmonary nodules of the lung adenocarcinoma spectrum (lesion size ⩽3 cm, 2006–2009) and available presurgical high-resolution computed tomography (HRCT) imaging were identified at Mayo Clinic Rochester. All cases were classified using an unbiased Computer-Aided Nodule Assessment and Risk Yield (CANARY) approach based on the quantification of presurgical HRCT characteristics. CANARY-based classification was independently correlated to postsurgical progression-free survival.ResultsCANARY analysis of 264 consecutive patients identified three distinct subgroups. Independent comparisons of 5-year disease-free survival (DFS) between these subgroups demonstrated statistically significant differences in 5-year DFS, 100%, 72.7%, and 51.4%, respectively (p = 0.0005).ConclusionsNoninvasive CANARY-based risk stratification identifies subgroups of patients with pulmonary nodules of the adenocarcinoma spectrum characterized by distinct clinical outcomes. This technique may ultimately improve the current expert opinion-based approach to the management of these lesions by facilitating individualized patient management

    Iron deposition and increased alveolar septal capillary density in nonfibrotic lung tissue are associated with pulmonary hypertension in idiopathic pulmonary fibrosis

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    <p>Abstract</p> <p>Background</p> <p>Early diagnosis of pulmonary hypertension (PH) in idiopathic pulmonary fibrosis (IPF) has potential prognostic and therapeutic implications but can be difficult due to the lack of specific clinical manifestations or accurate non-invasive tests. Histopathologic parameters correlating with PH in IPF are also not known. Remodeling of postcapillary pulmonary vessels has been reported in the nonfibrotic areas of explanted lungs from IPF patients. We hypothesized that iron deposition and increased alveolar capillaries, the findings often seen in postcapillary PH, might predict the presence of clinical PH, independent of the severity of fibrosis or ventilatory dysfunction in IPF patients. To test this hypothesis, we examined the association between these histologic parameters and the degree of PH, with consideration of the severity of disease in IPF.</p> <p>Methods</p> <p>Iron deposition and alveolar septal capillary density (ASCD) were evaluated on histologic sections with hematoxylin-eosin, iron, elastin and CD34 stainings. Percentage of predicted forced vital capacity (FVC%) was used for grading pulmonary function status. Fibrosis score assessed on high resolution computed tomography (HRCT) was used for evaluating overall degree of fibrosis in whole lungs. Right ventricular systolic pressure (RVSP) by transthoracic echocardiography was used for the estimation of PH. Univariate and multivariate regression analyses were performed.</p> <p>Results</p> <p>A cohort of 154 patients was studied who had the clinicopathological diagnosis of IPF with surgical lung biopsies or explants during the period of 1997 to 2006 at Mayo Clinic Rochester. In univariate analysis, RVSP in our IPF cases was associated with both iron deposition and ASCD (p < 0.001). In multivariate analysis with FVC% and HRCT fibrosis score included, iron deposition (p = 0.02), but not ASCD (p = 0.076), maintained statistically significant association with RVSP. FVC% was associated with RVSP on univariate analysis but not on multivariate analysis, while fibrosis score lacked any association with RVSP by either univariate or multivariate analyses.</p> <p>Conclusions</p> <p>Iron deposition and ASCD in non fibrotic lung tissue showed an association with RVSP, suggesting that these features are possible morphologic predictors of PH in IPF.</p

    Gender influences health-related Quality of Life in IPF

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    Disclosure statements Dr. Han has received research support from the NIH. Dr. Bartholmai has received research support from the NIH and GlaxoSmithKline. Dr. Murray has received research support from the NIH. Dr. Giardino has received research support from the VAHS. Dr. Flaherty has received research support from Intermune and the NIH, consulting honorarium from GlaxoSmithKline and is a member of advisory boards for Boehringer Ingelheim and Gilead. Dr. Thompson has received research support from the NIH. Dr. Frederick has received research support from the NIH. Ms. Li has received research support from the NIH. Dr. Schwarz has received research support from the NIH. Dr. Limper received consulting fees and a research grant from Novartis and has received research support from the NIH. Dr. Martinez is a member of a steering committee for Actelion, Gilead, Centocor, and Genzyme and has received research support from Actelion and the NIH.Background HRQL in IPF patients is impaired. Data from other respiratory diseases led us to hypothesize that significant gender differences in HRQL in IPF also exist. Methods Data were drawn from the NIH-sponsored Lung Tissue Research Consortium (LTRC). Demographic and pulmonary physiology data along with MMRC, SF-12, and SGRQ scores from women vs. men were compared with two-sample t-tests. Multivariate linear regression was used to examine the association between SF-12 component scores and gender while adjusting for other relevant variables. Results The study sample consisted of 147 men and 74 women. Among several baseline variables, only DLCO% predicted differed between women and men, (43.7 vs. 38.0, p = 0.03). In general, men exhibited lower (better) MMRC scores (1.7 vs. 2.4, p = 0.02), particularly those with milder disease as measured by DLCO% predicted. In an adjusted analysis, SF-12 PCS scores in men were lower (worse) than women (p = 0.01), an effect that was more pronounced in men with greater dyspnea scores. In a similar analysis, SF-12 MCS scores in women were lower than men (worse) (48.3 vs. 54.4, p = 0.0004), an effect that was more pronounced in women with greater dyspnea scores. Conclusions Significant gender differences in HRQL exist in IPF. As compared to women, men reported less severe dyspnea, had worse SF-12 PCS scores, but better SF-12 MCS scores. Dyspnea appears to have a greater impact on the physical HRQL of men and the emotional HRQL of women. An improved understanding of the mechanism behind these differences is needed to better target interventions.This work is supported by the Lung Tissue Research Consortium (N01 HR46158 (Bartholmai), N01 HR46160 (Schwarz), N01 HR46161 (Limper), N01 HR46162 (Han, Martinez), N01 HR46164 (Li, Frederick, Thompson), KL2 RR024987 (Han), K24 HL04212 (Martinez).Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/91956/1/2010 Respiratory Medicine - Gender Influences health-related Quality of Life in IPF.pd

    Evaluation of automated airway morphological quantification for assessing fibrosing lung disease

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    Abnormal airway dilatation, termed traction bronchiectasis, is a typical feature of idiopathic pulmonary fibrosis (IPF). Volumetric computed tomography (CT) imaging captures the loss of normal airway tapering in IPF. We postulated that automated quantification of airway abnormalities could provide estimates of IPF disease extent and severity. We propose AirQuant, an automated computational pipeline that systematically parcellates the airway tree into its lobes and generational branches from a deep learning based airway segmentation, deriving airway structural measures from chest CT. Importantly, AirQuant prevents the occurrence of spurious airway branches by thick wave propagation and removes loops in the airway-tree by graph search, overcoming limitations of existing airway skeletonisation algorithms. Tapering between airway segments (intertapering) and airway tortuosity computed by AirQuant were compared between 14 healthy participants and 14 IPF patients. Airway intertapering was significantly reduced in IPF patients, and airway tortuosity was significantly increased when compared to healthy controls. Differences were most marked in the lower lobes, conforming to the typical distribution of IPF-related damage. AirQuant is an open-source pipeline that avoids limitations of existing airway quantification algorithms and has clinical interpretability. Automated airway measurements may have potential as novel imaging biomarkers of IPF severity and disease extent

    Predicting outcomes in rheumatoid arthritis related interstitial lung disease

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    Aims: To compare radiology-based prediction models in rheumatoid arthritis-related interstitial lung disease (RA-ILD) to identify patients with a progressive fibrosis phenotype.Methods: RAILD patients had CTs scored visually and by CALIPER and forced vital capacity (FVC) measurements. Outcomes were evaluated using three techniques: 1.Scleroderma system evaluating visual ILD extent and FVC values; 2.Fleischer Society IPF diagnostic guidelines applied to RAILD; 3.CALIPER scores of vessel-related structures (VRS). Outcomes were compared to IPF patients.Results: On univariable Cox analysis, all three staging systems strongly predicted outcome: Scleroderma System:HR=3.78, p=9×10-5; Fleischner System:HR=1.98, p=2×10-3; 4.4% VRS threshold:HR=3.10, p=4×10-4 When the Scleroderma and Fleischner Systems were combined, termed the Progressive Fibrotic System (C-statistic=0.71), they identified a patient subset (n=36) with a progressive fibrotic phenotype and similar 4-year survival to IPF.On multivariable analysis, with adjustment for patient age, gender and smoking status, when analysed alongside the Progressive Fibrotic System, the VRS threshold of 4.4% independently predicted outcome (Model C-statistic=0.77).Conclusions: The combination of two visual CT-based staging systems identified 23% of an RAILD cohort with an IPF-like progressive fibrotic phenotype. The addition of a computer-derived VRS threshold further improved outcome prediction and model fit, beyond that encompassed by RAILD measures of disease severity and extent

    Computer-Aided Detection and Diagnosis at the Start of the Third Millennium

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    Reviews in Radiology Informatics: Establishing a Core Informatics Curriculum

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    The advent of digital imaging and information management within the radiology department has prompted the growth of a new radiology subspecialty: Radiology Informatics. With appropriate training, radiologists can become leaders in Medical Informatics and guide the growth of this technology throughout the medical enterprise. Radiology Informatics fellowships, as well as radiology residency programs, provide inconsistent exposure to all the elements of this subspecialty, in part because of the lack of a common curriculum. The Society for Computer Applications in Radiology (SCAR) has developed a curriculum intended to guide training in Radiology Informatics. This article is the first in a series presented by SCAR and the Journal of Digital Imaging, titled “Reviews in Radiology Informatics.” The series is designed to sample from each of the major components in the Radiology Informatics Curriculum, to spark further interest in the field and provide content for informatics education

    Mycophenolate mofetil for scleroderma-related interstitial lung disease: A real world experience.

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    Interstitial lung disease (ILD) remains the number one cause of mortality in scleroderma (SSc). Our goal was to determine the effectiveness of mycophenolate mofetil (MMF) in treating SSc-ILD in a retrospective study.A retrospective, computer-assisted search was performed to identify patients with SSc-ILD treated with MMF from 1997 through 2014. We used a novel software tool, Computer-Aided Lung Informatics for Pathology Evaluation and Rating (CALIPER), to quantify parenchymal lung abnormalities on high-resolution computed tomography. Lung function was evaluated at baseline, 6, 12, and 24 months of MMF therapy.We identified 46 patients (28 females) with SSc-ILD (mean age at diagnosis 55 y) treated with MMF for at least 1 year (majority on 2 gm/day). Twenty-one patients (45.7%) stopped using MMF during the follow up period after the first 12 months, and they took MMF for a median of 2.12 years (range, 0.91-8.93 years). Only 4 discontinued MMF because of disease progression. Compared to baseline, the mean percentage change in forced vital capacity (95% CI) at 6, 12, and 24 months, respectively, was 1.01% (-2.38%-4.39%) (n = 26), 2.06% (-1.09%-5.22%) (n = 31), and -0.07% (-3.31%-3.17%) (n = 30), and the mean percentage change in ILD as measured by CALIPER (95% CI) was -5.40% (-18.62%-7.83%) (n = 18), -1.51% (-14.69%-11.68%) (n = 17), and -8.35% (-20.71%-4.02%) (n = 22).The mean right ventricular systolic pressure (RVSP) remained stable over the study period.MMF is well tolerated and slows the rate of decline in lung function in SSc-ILD patients, even at doses lower at 3 g/day

    Disease status on computed tomography of the chest at 6, 12, and 24 months after the start of MMF therapy.

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    <p>Disease status on computed tomography of the chest at 6, 12, and 24 months after the start of MMF therapy.</p
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