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1,242 results on '"Yankelevitz, David"'

102. Exogenous Exposure: Occupation and Environment

Author

Eibel, Roger, Nowak, Dennis, Henschke, Claudia I., Cham, Matthew, Yankelevitz, David F., Fink, Christian, Berger, Frank, Polin, Sandra A., Allison, Sandra J., Ascher, Susan M., Baert, A. L., editor, Knauth, M., editor, Sartor, K., editor, Reiser, Maximilian F., editor, van Kaick, Gerhard, editor, Fink, Christian, editor, and Schoenberg, Stefan O., editor

Published
2008
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103. The presence of circulating genetically abnormal cells in blood predicts risk of lung cancer in individuals with indeterminate pulmonary nodules.

Author

Tahvilian, Shahram, Kuban, Joshua D., Yankelevitz, David F., Leventon, Daniel, Henschke, Claudia I., Zhu, Jeffrey, Baden, Lara, Yip, Rowena, Hirsch, Fred R., Reed, Rebecca, Brown, Ashley, Muldoon, Allison, Trejo, Michael, Katchman, Benjamin A., Donovan, Michael J., and Pagano, Paul C.

Subjects
PULMONARY nodules, LUNG cancer, DISEASE risk factors, FLUORESCENCE in situ hybridization, BLOOD cells
Abstract

Purpose: Computed tomography is the standard method by which pulmonary nodules are detected. Greater than 40% of pulmonary biopsies are not lung cancer and therefore not necessary, suggesting that improved diagnostic tools are needed. The LungLB™ blood test was developed to aid the clinical assessment of indeterminate nodules suspicious for lung cancer. LungLB™ identifies circulating genetically abnormal cells (CGACs) that are present early in lung cancer pathogenesis. Methods: LungLB™ is a 4-color fluorescence in-situ hybridization assay for detecting CGACs from peripheral blood. A prospective correlational study was performed on 151 participants scheduled for a pulmonary nodule biopsy. Mann-Whitney, Fisher's Exact and Chi-Square tests were used to assess participant demographics and correlation of LungLB™ with biopsy results, and sensitivity and specificity were also evaluated. Results: Participants from Mount Sinai Hospital (n = 83) and MD Anderson (n = 68), scheduled for a pulmonary biopsy were enrolled to have a LungLB™ test. Additional clinical variables including smoking history, previous cancer, lesion size, and nodule appearance were also collected. LungLB™ achieved 77% sensitivity and 72% specificity with an AUC of 0.78 for predicting lung cancer in the associated needle biopsy. Multivariate analysis found that clinical and radiological factors commonly used in malignancy prediction models did not impact the test performance. High test performance was observed across all participant characteristics, including clinical categories where other tests perform poorly (Mayo Clinic Model, AUC = 0.52). Conclusion: Early clinical performance of the LungLB™ test supports a role in the discrimination of benign from malignant pulmonary nodules. Extended studies are underway. [ABSTRACT FROM AUTHOR]

Published
2023
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104. Using the Framework for Reporting Adaptations and Modifications-Expanded (FRAME) to study lung cancer screening adaptations in the Veterans Health Administration

Author

Strayer, Thomas E., primary, Spalluto, Lucy B., additional, Burns, Abby, additional, Lindsell, Christopher J., additional, Henschke, Claudia I., additional, Yankelevitz, David F., additional, Moghanaki, Drew, additional, Dittus, Robert S., additional, Vogus, Timothy J., additional, Audet, Carolyn, additional, Kripalani, Sunil, additional, Roumie, Christianne L., additional, and Lewis, Jennifer A., additional

Published
2022
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106. Abstract CT205: A phase I/Ib trial of intratumoral Poly-ICLC in resectable malignant pleural mesothelioma

Author

Fitzgerald, Bailey G., primary, Marron, Thomas U., additional, Sweeney, Robert, additional, Gomez, Jorge, additional, Hall, Nicole, additional, O'Grady, Daniel, additional, Rolfo, Christian, additional, Veluswamy, Raj, additional, Doroshow, Deborah, additional, Mandeli, John, additional, Yankelevitz, David, additional, Bhardwaj, Nina, additional, Gnjatic, Sacha, additional, Hirsch, Fred R., additional, Merad, Miriam, additional, Tsankov, Alexander, additional, Flores, Raja, additional, and Wolf, Andrea, additional

Published
2022
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107. A phase 1b/2 trial of dupilumab given in conjunction with PD-(L)1 blockade in the treatment of relapsed/refractory metastatic NSCLC.

Author

Fitzgerald, Bailey Gleason, primary, Marron, Thomas Urban, additional, Hall, Nicole, additional, O'Grady, Daniel, additional, LaMarche, Nelson, additional, Hennequin, Clotilde, additional, Hegde, Samarth, additional, Maier, Barbara, additional, Le Berichel, Jessica, additional, Chadda, Udit, additional, Beasley, Mary Beth, additional, Yankelevitz, David F, additional, Gomez, Jorge E., additional, Doroshow, Deborah Blythe, additional, Veluswamy, Rajwanth, additional, Rohs, Nicholas Cole, additional, Rolfo, Christian Diego, additional, Hirsch, Fred R., additional, and Merad, Miriam, additional

Published
2022
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108. Longitudinal COVID-19-vaccination-induced antibody responses and Omicron neutralization in patients with lung cancer

Author

Mack, Philip C., primary, Gomez, Jorge E., additional, Rodilla, Ananda M., additional, Carreño, Juan Manuel, additional, Hsu, Chih-Yuan, additional, Rolfo, Christian, additional, Meshulami, Noy, additional, Moore, Amy, additional, Brody, Rachel I., additional, King, Jennifer C., additional, Treatman, Jacquelyn, additional, Lee, Sooyun, additional, Raskin, Ariel, additional, Srivastava, Komal, additional, Gleason, Charles R., additional, de Miguel-Perez, Diego, additional, Tcheou, Johnstone, additional, Bielak, Dominika, additional, Acharya, Rashmi, additional, Gerber, David E., additional, Rohs, Nicholas, additional, Henschke, Claudia I., additional, Yankelevitz, David F., additional, Simon, Viviana, additional, Minna, John D., additional, Bunn, Paul A., additional, García-Sastre, Adolfo, additional, Krammer, Florian, additional, Shyr, Yu, additional, Hirsch, Fred R., additional, Andre, D., additional, Alshammary, H., additional, van Bakel, H., additional, Bermúdez-González, M.C., additional, Cai, G., additional, Cognigni, C., additional, Floda, D., additional, Firpo, A., additional, Kleiner, G., additional, Lyttle, N., additional, Mendez, W., additional, Mulder, L.C.F., additional, Oostenink, A., additional, Rooker, A., additional, Salimbangon, A., additional, Saksena, M., additional, Sominsky, L., additional, and Sordillo, E.M., additional

Published
2022
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110. The Regimen of Computed Tomography Screening for Lung Cancer

Author

Henschke, Claudia I., Yip, Rowena, Shaham, Dorith, Zulueta, Javier J., Aguayo, Samuel M., Reeves, Anthony P., Jirapatnakul, Artit, Avila, Ricardo, Moghanaki, Drew, and Yankelevitz, David F.

Subjects
Lung Neoplasms, Artificial Intelligence, screening, growth, subsolid nodules, nodule management, Humans, Mass Screening, pulmonary nodules, Tomography, X-Ray Computed, Review Articles, nodule measurement accuracy, Early Detection of Cancer
Abstract

We learned many unanticipated and valuable lessons since we started planning our study of low-dose computed tomography (CT) screening for lung cancer in 1991. The publication of the baseline results of the Early Lung Cancer Action Project (ELCAP) in Lancet 1999 showed that CT screening could identify a high proportion of early, curable lung cancers. This stimulated large national screening studies to be quickly started. The ELCAP design, which provided evidence about screening in the context of a clinical program, was able to rapidly expand to a 12-institution study in New York State (NY-ELCAP) and to many international institutions (International-ELCAP), ultimately working with 82 institutions, all using the common I-ELCAP protocol. This expansion was possible because the investigators had developed the ELCAP Management System for screening, capturing data and CT images, and providing for quality assurance. This advanced registry and its rapid accumulation of data and images allowed continual assessment and updating of the regimen of screening as advances in knowledge and new technology emerged. For example, in the initial ELCAP study, introduction of helical CT scanners had allowed imaging of the entire lungs in a single breath, but the images were obtained in 10 mm increments resulting in about 30 images per person. Today, images are obtained in submillimeter slice thickness, resulting in around 700 images per person, which are viewed on high-resolution monitors. The regimen provides the imaging acquisition parameters, imaging interpretation, definition of positive result, and the recommendations for further workup, which now include identification of emphysema and coronary artery calcifications. Continual updating is critical to maximize the benefit of screening and to minimize potential harms. Insights were gained about the natural history of lung cancers, identification and management of nodule subtypes, increased understanding of nodule imaging and pathologic features, and measurement variability inherent in CT scanners. The registry also provides the foundation for assessment of new statistical techniques, including artificial intelligence, and integration of effective genomic and blood-based biomarkers, as they are developed.

Published
2020

111. The right upper lobe bronchus angle: A tool for differentiating fibrotic and non-fibrotic sarcoidosis

Author

Salvatore, Mary, Toussie, Danielle, Pavlishyn, Nadiya, Yankelevitz, David, O’Connor, Timothy, Henschke, Claudia, and Padilla, Maria

Subjects
Adult, Aged, 80 and over, Male, Original Article: Clinical Research, chest CT scan, pulmonary fibrosis, Bronchi, Middle Aged, Prognosis, Severity of Illness Index, Diagnosis, Differential, Young Adult, Sarcoidosis, Pulmonary, Predictive Value of Tests, Disease Progression, Humans, Female, sarcoid, Tomography, X-Ray Computed, Aged
Abstract

Purpose: To evaluate the Right Upper Lobe Bronchus Angle (RUL-BA) on chest CT in patients with Stage 4 sarcoidosis and compare to others with non-fibrotic sarcoidosis. Methods: IRB approval was obtained for review of all chest CT scans performed from January 2015 through December 2017 that contained the word sarcoidosis using the computer program Montage. The most recent CT scans of 633 people were reviewed. The patients’ age and sex at the time of their most recent CT scan were recorded. The radiographic diagnosis and the Right Upper Lobe Bronchus Angle (RUL-BA) were determined by a chest radiologist with 20 years of experience. Results: The RUL-BA increased with Stage 4 sarcoidosis, measuring on average 104 degrees, compared to the average angle of 88 degrees for those without fibrotic sarcoid. More often men’s CT scans exhibited the earlier stages of sarcoidosis, and a higher number of women’s scans showed fibrotic sarcoidosis. As would be expected, scans with advanced disease were typically from older patients; however, there was no correlation between age and degree of fibrosis as measured by increasing RUL-BA. Conclusion: The RUL-BA assists radiologists in differentiating fibrotic sarcoidosis from non-fibrotic sarcoidosis. Further research will determine if the RUL-BA measurement can help differentiate fibrotic sarcoid from other fibrotic lung diseases and if the angle can be used to follow disease progression. (Sarcoidosis Vasc Diffuse Lung Dis 2020; 37 (2): 99-103)

Published
2020

113. CT- and computer-based features of small hamartomas

Author

Huang, Yao, Xu, Dong ming, Jirapatnakul, Artit, Reeves, Anthony P., Farooqi, Ali, Zhang, Li juan, Giunta, Salvatore, Zulueta, Javier, Aye, Ralph, Miller, Albert, Mendelson, David S., Aylesworth, Cheryl, Sheppard, Barry, Klingler, Karl, Yankelevitz, David F., and Henschke, Claudia I.

Published
2011
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120. The importance of low-dose CT screening to identify emphysema in asymptomatic participants with and without a prior diagnosis of COPD

Author

Steiger, David, primary, Siddiqi, M. Faisal, additional, Yip, Rowena, additional, Yankelevitz, David F., additional, Henschke, Claudia I., additional, Jirapatnakul, Artit, additional, Flores, Raja, additional, Wolf, Andrea, additional, Libby, Daniel M., additional, Smith, James P., additional, Pasmantier, Mark, additional, Reeves, A.P., additional, Markowitz, Steven, additional, Miller, Albert, additional, Deval, Jose Cervera, additional, Roberts, Heidi, additional, Patsios, Demetris, additional, Sone, Shusuke, additional, Hanaoka, Takaomi, additional, Zulueta, Javier, additional, de-Torres, Juan P., additional, Lozano, Maria D., additional, Aye, Ralph, additional, Manning, Kristin, additional, Bauer, Thomas, additional, Canitano, Stefano, additional, Giunta, Salvatore, additional, Cole, Enser, additional, Klingler, Karl, additional, Austin, John H.M., additional, Pearson, Gregory D.N., additional, Shaham, Dorith, additional, Aylesworth, Cheryl, additional, Meyers, Patrick, additional, Andaz, Shahriyour, additional, Vafai, Davood, additional, Naidich, David, additional, McGuinness, Georgeann, additional, Sheppard, Barry, additional, Rifkin, Matthew, additional, Thorsen, M. Kristin, additional, Hansen, Richard, additional, Kopel, Samuel, additional, Mayfield, William, additional, Luedke, Dan, additional, Klippenstein, Donald, additional, Litwin, Alan, additional, Loud, Peter A., additional, Kohman, Leslie J., additional, Scalzetti, Ernest M., additional, Thurer, Richard, additional, Villamizar, Nestor, additional, Khan, Arfa, additional, Shah, Rakesh, additional, Liu, Xueguo, additional, Herzog, Gary, additional, Yeh, Diana, additional, Wu, Ning, additional, Lowry, Joseph, additional, Salvatore, Mary, additional, Frumiento, Carmine, additional, Mendelson, David S., additional, Smith, Michael V., additional, Korst, Robert, additional, Taylor, Jana, additional, Ginsberg, Michelle S., additional, Straznicka, Michaela, additional, Widmann, Mark, additional, Cecchi, Gary, additional, Matalon, Terence A.S., additional, Scheinberg, Paul, additional, Odzer, Shari-Lynn, additional, Olsen, David, additional, Grannis, Fred, additional, Rotter, Arnold, additional, Ray, Daniel, additional, Mullen, David, additional, Wiernik, Peter H., additional, Cheung, Edson H., additional, Lim, Melissa, additional, DeCunzo, Louis, additional, Glassberg, Robert, additional, Pass, Harvey, additional, Endress, Carmen, additional, Yoder, Mark, additional, Shah, Palmi, additional, Welch, Laura, additional, Kalafer, Michael, additional, Green, Jeremy, additional, Walsh, James, additional, Bertsch, David, additional, Camacho, Elmer, additional, Chin, Cynthia, additional, O'Brien, James, additional, and Willey, James C., additional

Published
2021
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126. Assessment of Radiologist Performance in the Detection of Lung Nodules: Dependence on the Definition of “Truth”

Author

Armato, Samuel G., III, Roberts, Rachael Y., Kocherginsky, Masha, Aberle, Denise R., Kazerooni, Ella A., MacMahon, Heber, van Beek, Edwin J.R., Yankelevitz, David, McLennan, Geoffrey, McNitt-Gray, Michael F., Meyer, Charles R., Reeves, Anthony P., Caligiuri, Philip, Quint, Leslie E., Sundaram, Baskaran, Croft, Barbara Y., and Clarke, Laurence P.

Published
2009
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135. A low-cost fiducial reference phantom for computed tomography

Author

Levine, Zachary H., Grantham, Steven, Sawyer, Daniel S., Reeves, Anthony P., and Yankelevitz, David F.

Abstract

To detect the growth in lesions, it is necessary to ensure that the apparent changes in size are above the noise floor of the system. By introducing a fiducial reference, […]

Published
2008

136. Reliability of cytologic diagnosis of early lung cancer

Author

Vazquez, Madeline F., Koizumi, June H., Henschke, Claudia I., and Yankelevitz, David F.

Subjects
Medical screening -- Methods, Lung cancer -- Diagnosis, Lung cancer -- Care and treatment, Cytology -- Research, Biopsy, Needle -- Usage, Biopsy, Needle -- Evaluation, CT imaging -- Usage, Health
Published
2007

139. The Lung Image Database Consortium (LIDC) Data Collection Process for Nodule Detection and Annotation

Author

McNitt-Gray, Michael F., Armato, Samuel G., III, Meyer, Charles R., Reeves, Anthony P., McLennan, Geoffrey, Pais, Richie C., Freymann, John, Brown, Matthew S., Engelmann, Roger M., Bland, Peyton H., Laderach, Gary E., Piker, Chris, Guo, Junfeng, Towfic, Zaid, Qing, David P.-Y., Yankelevitz, David F., Aberle, Denise R., van Beek, Edwin J.R., MacMahon, Heber, Kazerooni, Ella A., Croft, Barbara Y., and Clarke, Laurence P.

Published
2007
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140. The Lung Image Database Consortium (LIDC): An Evaluation of Radiologist Variability in the Identification of Lung Nodules on CT Scans

Author

Armato, Samuel G., III, McNitt-Gray, Michael F., Reeves, Anthony P., Meyer, Charles R., McLennan, Geoffrey, Aberle, Denise R., Kazerooni, Ella A., MacMahon, Heber, van Beek, Edwin J.R., Yankelevitz, David, Hoffman, Eric A., Henschke, Claudia I., Roberts, Rachael Y., Brown, Matthew S., Engelmann, Roger M., Pais, Richard C., Piker, Christopher W., Qing, David, Kocherginsky, Masha, Croft, Barbara Y., and Clarke, Laurence P.

Published
2007
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145. On measuring the change in size of pulmonary nodules

Author

Reeves, Anthony P., Chan, Antoni B., Yankelevitz, David F., Henschke, Claudia I., Kressler, Bryan, and Kostis, William J.

Subjects
CT imaging -- Analysis, Respiratory organs -- Research, Respiratory organs -- Diagnosis, Cardiopulmonary system -- Research, Cardiopulmonary system -- Diagnosis, Business, Electronics, Electronics and electrical industries, Health care industry
Abstract

The pulmonary nodule is the most common manifestation of lung cancer, the most deadly of all cancers. Most small pulmonary nodules are benign, however, and currently the growth rate of the nodule provides for one of the most accurate noninvasive methods of determining malignancy. In this paper, we present methods for measuring the change in nodule size from two computed tomography image scans recorded at different times; from this size change the growth rate may be established. The impact of partial voxels for small nodules is evaluated and isotropic re-sampling is shown to improve measurement accuracy. Methods for nodule location and sizing, pleural segmentation, adaptive thresholding, image registration, and knowledge-based shape matching are presented. The latter three techniques provide for a significant improvement in volume change measurement accuracy by considering both image scans simultaneously. Improvements in segmentation are evaluated by measuring volume changes in benign or slow growing nodules. In the analysis of 50 nodules, the variance in percent volume change was reduced from 11.54% to 9.35% (p = 0.03) through the use of registration, adaptive thresholding, and knowledge-based shape matching. Index Terms--Computed tomography, growth rate estimation, image registration, image segmentation, pulmonary nodules, rule-based segmentation.

Published
2006

147. Implementation of low-dose CT screening in two different health care systems: Mount Sinai Healthcare System and Phoenix VA Health Care System

Author

Henschke, Claudia I., primary, Yankelevitz, David F., additional, Jirapatnakul, Artit, additional, Yip, Rowena, additional, Reccoppa, Vivian, additional, Benjamin, Charlene, additional, Llamo, Tserling, additional, Williams, Angel, additional, Liu, Simon, additional, Max, Daniel, additional, Aguayo, Samuel M., additional, Morales, Providencia, additional, Igel, Brian J., additional, Abbaszadegan, Hamed, additional, Fredricks, Peter A., additional, Garcia, Daniel P., additional, Permana, Paska A., additional, Fawcett, Janet, additional, Sultan, Samir, additional, and Murphy, Lorenza A., additional

Published
2021
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