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2,001 results on '"Rosenberg, Robert A."'

6. Machine learning-based preoperative analytics for the prediction of anastomotic leakage in colorectal surgery: a swiss pilot study

Author

Taha-Mehlitz, Stephanie, Wentzler, Larissa, Angehrn, Fiorenzo, Hendie, Ahmad, Ochs, Vincent, Wolleb, Julia, Staartjes, Victor E., Enodien, Bassey, Baltuonis, Martinas, Vorburger, Stephan, Frey, Daniel M., Rosenberg, Robert, von Flüe, Markus, Müller-Stich, Beat, Cattin, Philippe C., Taha, Anas, and Steinemann, Daniel

Published
2024
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7. Index

Author

Edison, Thomas A., Rosenberg, Robert A., Israel, Paul B., and Nier, Keith

Published
1995

8. Bibliography

Author

Edison, Thomas A., Rosenberg, Robert A., Israel, Paul B., and Nier, Keith

Published
1995

10. Credits

Author

Edison, Thomas A., Rosenberg, Robert A., Israel, Paul B., and Nier, Keith

Published
1995

18. Editorial Policy

Author

Edison, Thomas A., Rosenberg, Robert A., Israel, Paul B., and Nier, Keith

Published
1995

19. Editorial Symbols

Author

Edison, Thomas A., Rosenberg, Robert A., Israel, Paul B., and Nier, Keith

Published
1995

20. List of Abbreviations

Author

Edison, Thomas A., Rosenberg, Robert A., Israel, Paul B., and Nier, Keith

Published
1995

26. Preface

Author

Edison, Thomas A., Rosenberg, Robert A., Israel, Paul B., and Nier, Keith

Published
1995

27. Calendar of Documents

Author

Edison, Thomas A., Rosenberg, Robert A., Israel, Paul B., and Nier, Keith

Published
1995

29. Development of predictive model for predicting postoperative BMI and optimize bariatric surgery: a single center pilot study

Author

Ochs, Vincent, Tobler, Anja, Wolleb, Julia, Bieder, Florentin, Saad, Baraa, Enodien, Bassey, Fischer, Laura E., Honaker, Michael D., Drews, Susanne, Rosenblum, Ilan, Stoll, Reinhard, Probst, Pascal, Müller, Markus K., Lavanchy, Joël L., Taha-Mehlitz, Stephanie, Müller, Beat P., Rosenberg, Robert, Frey, Daniel M., Cattin, Philippe C., and Taha, Anas

Published
2024
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31. Space importance grows as a future battleground

Author

Howard, William E., III and Rosenberg, Robert A., MajGen, Ret

Subjects
SPACE - Medical Applications, SATELLITES, ARTIFICIAL - Military Applications
Abstract

illus

Published
1993

32. Massive Transfusion in Pediatric Patients on Extracorporeal Membrane Oxygenation: A Secondary Analysis of the Massive Transfusion in Children (MATIC) Study

Author

Hargrave, Emily, Alexander, Robin, Leeper, Christine M., Leonard, Julie C., Josephson, Casandra D., Steiner, Marie E., Spinella, Philip C., Muszynski, Jennifer A., Allen, Christine, Chiusolo, Fabrizio, Davis, Adrienne L., Finkelstein, Robert A., Fitzgerald, Julie C., Gaines, Barbara A., Goobie, Susan M., Hanson, Sheila J., Hewes, Hilary A., Johnson, Laurie H., McCollum, Mark O., Nair, Alison B., Rosenberg, Robert B., Rouse, Thomas M., Sikavitsas, Athina, Singleton, Marcy N., Upperman, Jeffrey S., Vogel, Adam M., Wills, Hale, and Winkler, Margaret K.

Published
2024
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43. Linkage of the ACR National Mammography Database to the Network of State Cancer Registries: Proof of Concept Evaluation by the ACR National Mammography Database Committee

Author

Zuley, Margarita L, Nishikawa, Robert M, Lee, Cindy S, Burnside, Elizabeth, Rosenberg, Robert, Sickles, Edward A, Berg, Wendie, Leung, Jessica, Harvey, Jennifer, Sengupta, Debapriya, and Gur, David

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Prevention, Biomedical Imaging, Breast Cancer, Clinical Research, Cancer, Breast Neoplasms, Databases, Factual, Female, Humans, Mammography, Mass Screening, Population Surveillance, Proof of Concept Study, Registries, United States, Breast, data linkage, record linkage, medical, Clinical Sciences, Public Health and Health Services, Nuclear Medicine & Medical Imaging, Clinical sciences
Abstract

PurposeThe National Mammography Database (NMD) contains nearly 20 million examinations from 693 facilities; it is the largest information source for use and effectiveness of breast imaging in the United States. NMD collects demographic, imaging, interpretation, biopsy, and basic pathology results, enabling facility and physician comparison for quality improvement. However, NMD lacks treatment and clinical outcomes data. The network of state cancer registries (CRs) contains detailed pathologic, treatment, and clinical outcomes data. This pilot study assessed electronic linkage of NMD and CR data at a multicenter institution as proof of concept.Materials and methodsWe obtained Quality Oversight Committee approval for this retrospective study. Data of patients diagnosed with breast cancer in 2014 and 2015 were retrieved from our NMD-approved radiology information system (RIS) and matched with reportable patients in our CR using social security number (SSN), first name (fname), last name (lname), and date of birth (DOB). Matching was repeated without SSN. Percentage and reasons for mismatch were evaluated.ResultsThe RIS query identified 1,316 patients. CR linkage was 99.2% successful (n = 1,305 of 1,316) using SSN, fname, lname, and DOB. Eleven mismatches included four CR case-finding failures, one NMD fname error, five nonreportable in the CR, and one with correct identifiers in both databases. Without SSN, linkage was 97.3% successful (n = 1,281 of 1,316); name errors accounted for 19 and DOB accounted for 5 additional mismatches.ConclusionUsing common data elements, linkage between the NMD and state CRs may be feasible and could provide critical outcomes information to advance accurate assessment of breast imaging in the United States.

Published
2019

44. Evaluation of the NEC Vector Engine for Legacy CFD Codes

Author

Obenschain, Keith, Khine, Yu Yu, Mathur, Raghunandan, Patnaik, Gopal, Rosenberg, Robert, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Chamberlain, Bradford L., editor, Varbanescu, Ana-Lucia, editor, Ltaief, Hatem, editor, and Luszczek, Piotr, editor

Published
2021
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45. Correlation Between Screening Mammography Interpretive Performance on a Test Set and Performance in Clinical Practice

Author

Miglioretti, Diana L, Ichikawa, Laura, Smith, Robert A, Buist, Diana SM, Carney, Patricia A, Geller, Berta, Monsees, Barbara, Onega, Tracy, Rosenberg, Robert, Sickles, Edward A, Yankaskas, Bonnie C, and Kerlikowske, Karla

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Biomedical Imaging, Breast Cancer, Prevention, Cancer, Women's Health, 4.2 Evaluation of markers and technologies, 4.1 Discovery and preclinical testing of markers and technologies, 4.4 Population screening, Aged, Breast Neoplasms, Clinical Competence, Early Detection of Cancer, Female, Humans, Mammography, Mass Screening, Middle Aged, Prevalence, Radiologists, Registries, Sensitivity and Specificity, Screening mammography, interpretive performance, test sets, Clinical Sciences, Nuclear Medicine & Medical Imaging, Clinical sciences
Abstract

Rationale and objectivesEvidence is inconsistent about whether radiologists' interpretive performance on a screening mammography test set reflects their performance in clinical practice. This study aimed to estimate the correlation between test set and clinical performance and determine if the correlation is influenced by cancer prevalence or lesion difficulty in the test set.Materials and methodsThis institutional review board-approved study randomized 83 radiologists from six Breast Cancer Surveillance Consortium registries to assess one of four test sets of 109 screening mammograms each; 48 radiologists completed a fifth test set of 110 mammograms 2 years later. Test sets differed in number of cancer cases and difficulty of lesion detection. Test set sensitivity and specificity were estimated using woman-level and breast-level recall with cancer status and expert opinion as gold standards. Clinical performance was estimated using women-level recall with cancer status as the gold standard. Spearman rank correlations between test set and clinical performance with 95% confidence intervals (CI) were estimated.ResultsFor test sets with fewer cancers (N = 15) that were more difficult to detect, correlations were weak to moderate for sensitivity (woman level = 0.46, 95% CI = 0.16, 0.69; breast level = 0.35, 95% CI = 0.03, 0.61) and weak for specificity (0.24, 95% CI = 0.01, 0.45) relative to expert recall. Correlations for test sets with more cancers (N = 30) were close to 0 and not statistically significant.ConclusionsCorrelations between screening performance on a test set and performance in clinical practice are not strong. Test set performance more accurately reflects performance in clinical practice if cancer prevalence is low and lesions are challenging to detect.

Published
2017

46. Precision Oncology in Older Cancer Patients: A Single-Center Experience.

Author

Petitat-Berli, Meret, Knufinke, Marie, Voegeli, Michèle, Sonderegger, Martina, Seifert, Bettina, Chiru, Elena Diana, Haeuptle, Pirmin, van't Walderveen, Lisanne, Rosenberg, Robert, Burri, Emanuel, Subotic, Svetozar, Schwab, Fabienne Dominique, Dougoud-Chauvin, Vérène, Unger, Heinz, Mertz, Kirsten, Tahan, Loay, and Vetter, Marcus

Subjects
NUCLEOTIDE sequencing, OLDER patients, CANCER patients, OVERALL survival, METASTASIS
Abstract

In the last two decades, next-generation sequencing (NGS) has facilitated enormous progress in cancer medicine, in both diagnosis and treatment. However, the usefulness of NGS in older cancer patients is unclear. To determine the role of NGS in older cancer patients, we retrospectively assessed demographic, clinicopathologic, and disease-specific data from 100 randomly selected cancer patients (any subtype/stage) who underwent NGS testing in 2020 at our institution and compared the treatment outcomes (progression-free survival [PFS] and overall survival [OS]) in the younger and older patient cohorts (A [n = 34] and B [n = 66]: age < 70 and ≥70 years, respectively). Overall, 27% had targetable mutations, and 8% received NGS-determined targeted therapy (45% and 19% of patients with a targetable mutation in cohorts A and B, respectively; p = 0.2), of whom 38% (3% of the whole cohort) benefited from the therapy (PFS > 6 months). The median OS (from diagnosis) was 192 and 197 weeks in cohorts A and B, respectively (p = 0.08). This pilot study revealed no significant age-stratified difference in the diagnostic approach and treatment strategy. A small, but relevant, proportion of the cohort (3%) benefited from NGS-determined treatment. Nevertheless, older cancer patients with targetable mutations less frequently received targetable therapies. [ABSTRACT FROM AUTHOR]

Published
2024
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47. A rare case of perianal alveolar rhabdomyosarcoma.

Author

Taha, Anas, Maeky, Amjad, Wentzler, Larissa, Taha‐Mehlitz, Stephanie, Rosenberg, Robert, and Honaker, Michael D.

Subjects
CANCER treatment, RHABDOMYOSARCOMA, TREATMENT effectiveness, SARCOMA, ANUS
Abstract

Key Clinical Message: Perianal alveolar rhabdomyosarcoma is a rare sarcoma that requires a high index of suspicion along with tissue biopsy for accurate diagnosis. Successful treatment, even in the setting of recurrence, requires a multidisciplinary approach. [ABSTRACT FROM AUTHOR]

Published
2024
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48. OCO-3 early mission operations and initial (vEarly) XCO2 and SIF retrievals

Author

Taylor, Thomas E., Eldering, Annmarie, Merrelli, Aronne, Kiel, Matthäus, Somkuti, Peter, Cheng, Cecilia, Rosenberg, Robert, Fisher, Brendan, Crisp, David, Basilio, Ralph, Bennett, Matthew, Cervantes, Daniel, Chang, Albert, Dang, Lan, Frankenberg, Christian, Haemmerle, Vance R., Keller, Graziela R., Kurosu, Thomas, Laughner, Joshua L., Lee, Richard, Marchetti, Yuliya, Nelson, Robert R., O'Dell, Christopher W., Osterman, Gregory, Pavlick, Ryan, Roehl, Coleen, Schneider, Robert, Spiers, Gary, To, Cathy, Wells, Christopher, Wennberg, Paul O., Yelamanchili, Amruta, and Yu, Shanshan

Published
2020
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49. An analysis of virtual reality in abdominal surgery—A scoping review

Author

Ochs, Vincent, primary, Saad, Baraa, additional, Taha‐Mehlitz, Stephanie, additional, Staubli, Sebastian, additional, Neumann, Katerina, additional, Fischer, Laura, additional, Honaker, Michael D., additional, Lamm, Sebastian, additional, Rosenberg, Robert, additional, Taha, Anas, additional, and Cattin, Philippe C., additional

Published
2024
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