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512 results on '"Yankelevitz, David F."'

1. Artificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction

Author

Naghavi, Morteza, Reeves, Anthony P., Atlas, Kyle, Zhang, Chenyu, Atlas, Thomas, Henschke, Claudia I., Yankelevitz, David F., Budoff, Matthew J., Li, Dong, Roy, Sion K., Nasir, Khurram, Molloi, Sabee, Fayad, Zahi, McConnell, Michael V., Kakadiaris, Ioannis, Maron, David J., Narula, Jagat, Williams, Kim, Shah, Prediman K., Levy, Daniel, and Wong, Nathan D.

Published
2024
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5. Using the Framework for Reporting Adaptations and Modifications-Expanded (FRAME) to study adaptations in lung cancer screening delivery in the Veterans Health Administration: a cohort study

Author

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

Published
2023
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7. Prospective Cohort Study to Compare Long-Term Lung Cancer-Specific and All-Cause Survival of Clinical Early Stage (T1a–b; ≤20 mm) NSCLC Treated by Stereotactic Body Radiation Therapy and Surgery

Author

Flores, Raja, Kaufman, Andrew, Lee, Dong-Seok, Nicastri, Daniel, Wolf, Andrea, Song, Kimberly, Rosenzweig, Kenneth, Gomez, Jorge, Samstein, Robert, Dutta, Pinaki, Beasley, Mary Beth, Zakowski, Maureen, Chung, Michael, Yankelevitz, David F., Henschke, Claudia I., Taioli, Emanuela, Schwartz, Rebecca, Chan, Huiwen, Zhu, Jeffrey, Kantor, Sydney, Woode, Sydney, Hakami, Ardeshir, Buyuk, Arzu, Friedman, Adie, Dreifuss, Ronald, Verzosa, Stacey, Yakubox, Mariya, Aloferdova, Karina, Stacey, Patricia, De Nobrega, Simone, Lentini, Lauren, Pass, Harvey, Cooper, Benjamin, Moreirea, Andre, Sorensen, Audrey, Kohman, Leslie, Dunton, Robert, Wallen, Jason, Curtiss, Christopher, Scalzetti, Ernest, Ellinwood, Linda, Tannous, Henry, Connery, Cliff P., Torres, Emilo, Cruzer, Dan, Gendron, Bruce, Alyea, Sonya, Krumholtz, Pramila, Watkins, Ammara, Servais, Elliot, Stock, Cameron, McKee, Andrea, Lopez, Edilin, Hsu, Howard, Hunter, Kaudia, Lemons, Jeffrey, Nixon, Asa, Osa, Etin-Osa, Lee, Paul, Hyman, Kevin, Jurado, Julisa, Zeltman, David, Glassman, Lawrence, Sharma, Rajiv, Singh, Vijay, Milhelis, Efstathia, Karan, Nandanee, Rzyman, Witold, Dziedzic, Robert, Henschke, Claudia, Yankelevitz, David, Jirapatnakul, Artit, Yip, Rowena, Zulueta, Javier J., Reeves, A.P., Altorki, Nasser K., Smith, James P., Libby, Daniel M., Pasmantier, Mark, Markowitz, Steven, Miller, Albert, Deval, Jose Cervera, Shaham, Dorith, Seijo, Luis, Bastarika, Gorka, Montuenga, Luis M., Spring, Silver, Aylesworth, Cheryl, Klingler, Karl, Schöb, Othmar, Andaz, Shahriyour, Straznicka, Michaela, Chin, Cynthia, Weiser, Todd, Sone, Shusuke, Hanaoka, Takaomi, Roberts, Heidi, Patsios, Demetris, Scopetuolo, M., Brown, Andrew, Wu, Ning, Cole, Enser, Yeh, Diana, Luedke, Dan, Liu, Xueguo, Herzog, Gary, Aye, Ralph, Rifkin, Matthew, Veronesi, Giula, Infante, Maurizio, Vafai, Davood, Kopel, Samuel, Taylor, Jana, Thurer, Richard, Villamizar, Nestor, Austin, John H.M., Pearson, Gregory D.N., Klippenstein, Donald, Litwin, Alan, Loud, Peter A., Kohman, Leslie J., Scalzetti, Ernest M., Khan, Arfa, Shah, Rakesh, Mayfield, William, Frumiento, Carmine, Smith, Michael V., Thorsen, M. Kristin, Hansen, Richard, Naidich, David, McGuinness, Georgeann, Widmann, Mark, Korst, Robert, Lowry, Joseph, Salvatore, Mary, Walsh, James, Bertsch, David, Scheinberg, Paul, Sheppard, Barry, Cecchi, Gary, Ginsberg, Michelle S., Welch, Laura, Raz, Dan J., Rotter, Arnold, Connery, Cliff, Matalon, Terence A.S., Cheung, Edson H., Glassberg, Robert, Olsen, David, Mullen, David, Odzer, Shari-Lynn, Wiernik, Peter H., Ray, Daniel, DeCunzo, Louis, Endress, Carmen, Vacca, Anthony, Kondapaneni, M., Lim, Melissa, Kalafer, Michael, Green, Jeremy, Yoder, Mark, Shah, Palmi, Camacho, Elmer, O’Brien, James, Willey, James C., Gordon, David, Kocha, Albert, Sun, Qi, Li, Pengfei, and Flores, Raja M.

Published
2024
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8. The International Association for the Study of Lung Cancer Early Lung Imaging Confederation Open-Source Deep Learning and Quantitative Measurement Initiative

Author

Lam, Stephen, Wynes, Murry W., Connolly, Casey, Ashizawa, Kazuto, Atkar-Khattra, Sukhinder, Belani, Chandra P., DiNatale, Domenic, Henschke, Claudia I., Hochhegger, Bruno, Jacomelli, Claudio, Jelitto, Małgorzata, Jirapatnakul, Artit, Kelly, Karen L., Krishnan, Karthik, Kobayashi, Takeshi, Logan, Jacqueline, Mattos, Juliane, Mayo, John, McWilliams, Annette, Mitsudomi, Tetsuya, Pastorino, Ugo, Polańska, Joanna, Rzyman, Witold, Sales dos Santos, Ricardo, Scagliotti, Giorgio V., Wakelee, Heather, Yankelevitz, David F., Field, John K., Mulshine, James L., and Avila, Ricardo

Published
2024
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9. The Association of Organizational Readiness With Lung Cancer Screening Utilization

Author

Lewis, Jennifer A., Samuels, Lauren R., Weems, Jacy, Park, Daniel, Winter, Robert, Lindsell, Christopher J., Callaway-Lane, Carol, Audet, Carolyn, Slatore, Christopher G., Wiener, Renda Soylemez, Dittus, Robert S., Kripalani, Sunil, Yankelevitz, David F., Henschke, Claudia I., Moghanaki, Drew, Matheny, Michael E., Vogus, Timothy J., Roumie, Christianne L., and Spalluto, Lucy B.

Published
2023
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11. New or enlarging hiatal hernias after thoracic surgery for early lung cancer

Author

Flores, Raja, Kaufman, Andrew, Lee, Dong-Seok, Nicastri, Daniel, Wolf, Andrea, Song, Kimberly, Rosenzweig, Kenneth, Gomez, Jorge, Beasley, Mary Beth, Zakowski, Maureen, Chung, Michael, Yankelevitz, David F., Henschke, Claudia I., Taioli, Emanuela, Schwartz, Rebecca, Chan, Huiwen, Zhu, Jeffrey, Kantor, Sydney, Adler, Shana, Raad, Wissam, Buyuk, Zrzu, Friedman, Adie, Dreifuss, Ronald, Verzosa, Stacey, Yakubox, Mariya, Aloferdova, Karina, Stacey, Patricia, De Nobrega, Simone, Hakami, Ardeshir, Pass, Harvey, Crawford, Berne, Donnington, Jessica, Cooper, Benjamin, Moreirea, Andre, Sorensen, Audrey, Kohman, Leslie, Dunton, Robert, Wallen, Jason, Curtiss, Christopher, Scalzetti, Ernest, Ellinwood, Linda, Connery, Clifford P., Torres, Emilo, Cruzer, Dan, Gendron, Bruce, Alyea, Sonya, Lackaye, Daniel, Studer, Lauren, Henschke, Claudia, Yankelevitz, David, Becker, Betsy, Jirapatnakul, Artit, Yip, Rowena, You, Nan, Libby, Daniel M., Smith, James P., Pasmantier, Mark, Reeves, A.P., Markowitz, Steven, Miller, Albert, Deval, Jose Cervera, Roberts, Heidi, Patsios, Demetris, Sone, Shusuke, Hanaoka, Takaomi, Zulueta, Javier, de-Torres, Juan P., Lozano, Maria D., Aye, Ralph, Manning, Kristin, Care, Christiana, Bauer, Thomas, Canitano, Stefano, Giunta, Salvatore, Cole, Enser, Klingler, Karl, Austin, John H.M., Pearson, Gregory D.N., Shaham, Dorith, Aylesworth, Cheryl, Meyers, Patrick, Andaz, Shahriyour, Vafai, Davood, Naidich, David, McGuinness, Georgeann, Sheppard, Barry, Rifkin, Matthew, Thorsen, M. Kristin, Hansen, Richard, Kopel, Samuel, Mayfield, William, Luedke, Dan, Klippenstein, Donald, Litwin, Alan, Loud, Peter A., Kohman, Leslie J., Scalzetti, Ernest M., Thurer, Richard, Villamizar, Nestor, Khan, Arfa, Shah, Rakesh, Liu, Xueguo, Herzog, Gary, Yeh, Diana, Wu, Ning, Lowry, Joseph, Salvatore, Mary, Frumiento, Carmine, Mendelson, David S., Smith, Michael V., Korst, Robert, Taylor, Jana, Ginsberg, Michelle S., Straznicka, Michaela, Widmann, Mark, Cecchi, Gary, Matalon, Terence A.S., Scheinberg, Paul, Odzer, Shari-Lynn, Olsen, David, Grannis, Fred, Rotter, Arnold, Ray, Daniel, Mullen, David, Wiernik, Peter H., Cheung, Edson H., Lim, Melissa, DeCunzo, Louis, Glassberg, Robert, Endress, Carmen, Yoder, Mark, Shah, Palmi, Welch, Laura, Kalafer, Michael, Green, Jeremy, Walsh, James, Bertsch, David, Camacho, Elmer, Chin, Cynthia, O'Brien, James, Willey, James C., Song, Kimberly J., Cai, Qiang, Zhu, Yeqing, Singh, Ayushi, and Lewis, Erik E.

Published
2022
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15. The importance of low-dose CT screening to identify emphysema in asymptomatic participants with and without a prior diagnosis of COPD

Author

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

Published
2021
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18. Protocol to evaluate an enterprise-wide initiative to increase access to lung cancer screening in the Veterans Health Administration

Author

Lewis, Jennifer A., Spalluto, Lucy B., Henschke, Claudia I., Yankelevitz, David F., Aguayo, Samuel M., Morales, Providencia, Avila, Rick, Audet, Carolyn M., Prusaczyk, Beth, Lindsell, Christopher J., Callaway-Lane, Carol, Dittus, Robert S., Vogus, Timothy J., Massion, Pierre P., Limper, Heather M., Kripalani, Sunil, Moghanaki, Drew, and Roumie, Christianne L.

Published
2021
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27. Survival with Parenchymal and Pleural Invasion of Non–Small Cell Lung Cancers Less than 30 mm

Author

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

Published
2019
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29. Quantitative imaging workshop XIX: Utilizing quantitative thoracic imaging to optimize population health final summary.

Author

Mulshine, James L., Avila, Riccardo S., Rizzo, Albert A., Estepar, Raul San Jose, McGlothlin, Anita, Pyenson, Bruce, Hoyos, Jody, Aldigé, Carolyn R., and Yankelevitz, David F.

Abstract

Lung cancer screening involves the use of thoracic CT for both detection and measurements of suspicious lung nodules to guide the screening management. Since lung cancer screening eligibility typically requires age over 50 years along with >20 pack‐year tobacco exposure, thoracic CT scans also frequently reveal evidence for pulmonary emphysema as well as coronary artery calcification. These three thoracic diseases are collectively three of the leading causes of premature death across the world. Screening for the major thoracic diseases in this heavily tobacco‐exposed cohort is broadening the focus of lung cancer screening to a more comprehensive health evaluation including discussing the relevance of screen‐detected findings of the heart and lung parenchyma. The status and implications of these emerging issues were reviewed in a multidisciplinary workshop focused on the process of quantitative imaging in the lung cancer screening setting to guide the evolution of this important new area of public health. [ABSTRACT FROM AUTHOR]

Published
2024
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36. Evolution of Lung Cancer Screening Management

Author

Henschke, Claudia I., Yankelevitz, David F., Reeves, Anthony P., and Yip, Rowena

Subjects
Lung cancer -- Diagnosis, Cancer screening -- Forecasts and trends -- Methods, CAT scans -- Usage, Cancer research, Radiation (Physics), Systems management, Market trend/market analysis, Health
Abstract

Start of ELCAP Throughout the last half of the 20th century, despite enormous research efforts, lung cancer remained the most feared as well as lethal cancer across the world. Starting [...]

Published
2019

46. 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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49. 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

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