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Showing 1 to 12 of 33 entries
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Pre-Chemoradiotherapy FDG PET/CT cannot Identify Residual Metabolically-Active Volumes within Individual Esophageal Tumors.

Journal of nuclear medicine & radiation therapy

Lu W, Tan S, Chen W, Kligerman S, Feigenberg SJ, Zhang H, Suntharalingam M, Kang M, D'Souza WD.
PMID: 26594591
J Nucl Med Radiat Ther. 2015 May;6(3). doi: 10.4172/2155-9619.1000226. Epub 2015 Apr 29.

OBJECTIVE: To study whether subvolumes with a high pre-chemoradiotherapy (CRT) FDG uptake could identify residual metabolically-active volumes (MAVs) post-CRT within individual esophageal tumors. Accurate identification will allow simultaneous integrated boost to these subvolumes at higher risk to improve clinical...

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Lu W, Tan S, Chen W, et al. Pre-Chemoradiotherapy FDG PET/CT cannot Identify Residual Metabolically-Active Volumes within Individual Esophageal Tumors. J Nucl Med Radiat Ther. 2015;6(3)doi: 10.4172/2155-9619.1000226.
Lu, W., Tan, S., Chen, W., Kligerman, S., Feigenberg, S. J., Zhang, H., Suntharalingam, M., Kang, M., & D'Souza, W. D. (2015). Pre-Chemoradiotherapy FDG PET/CT cannot Identify Residual Metabolically-Active Volumes within Individual Esophageal Tumors. Journal of nuclear medicine & radiation therapy, 6(3), . https://doi.org/10.4172/2155-9619.1000226
Lu, W, et al. "Pre-Chemoradiotherapy FDG PET/CT cannot Identify Residual Metabolically-Active Volumes within Individual Esophageal Tumors." Journal of nuclear medicine & radiation therapy vol. 6,3 (2015). doi: https://doi.org/10.4172/2155-9619.1000226
Lu W, Tan S, Chen W, Kligerman S, Feigenberg SJ, Zhang H, Suntharalingam M, Kang M, D'Souza WD. Pre-Chemoradiotherapy FDG PET/CT cannot Identify Residual Metabolically-Active Volumes within Individual Esophageal Tumors. J Nucl Med Radiat Ther. 2015 May;6(3). doi: 10.4172/2155-9619.1000226. Epub 2015 Apr 29. PMID: 26594591; PMCID: PMC4652953.
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High voltage radiation therapy.

Annual review of medicine

KLIGERMAN MM.
PMID: 14409841
Annu Rev Med. 1960;11:303-14. doi: 10.1146/annurev.me.11.020160.001511.

No abstract available.

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KLIGERMAN MM. High voltage radiation therapy. Annu Rev Med. 1960;11:303-14doi: 10.1146/annurev.me.11.020160.001511.
KLIGERMAN, M. M. (1960). High voltage radiation therapy. Annual review of medicine, 11303-14. https://doi.org/10.1146/annurev.me.11.020160.001511
KLIGERMAN, M M. "High voltage radiation therapy." Annual review of medicine vol. 11 (1960): 303-14. doi: https://doi.org/10.1146/annurev.me.11.020160.001511
KLIGERMAN MM. High voltage radiation therapy. Annu Rev Med. 1960;11:303-14. doi: 10.1146/annurev.me.11.020160.001511. PMID: 14409841.
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Faster Triage of Veterans With Head and Neck Cancer.

Federal practitioner : for the health care professionals of the VA, DoD, and PHS

Kligerman M, Asaly A, Kwan M, Kaplan M, Fee WE, Yuan A, Benedam-Lenrow E, Song Y, Pham R, Sirjani D.
PMID: 30766220
Fed Pract. 2016 Aug;33:24S-29S.

High-risk patients with a growing mass require proper assessment, including a thorough history, physical examination, and fine-needle aspiration for diagnosis.

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Kligerman M, Asaly A, Kwan M, et al. Faster Triage of Veterans With Head and Neck Cancer. Fed Pract. 2016;33:24S-29S
Kligerman, M., Asaly, A., Kwan, M., Kaplan, M., Fee, W. E., Yuan, A., Benedam-Lenrow, E., Song, Y., Pham, R., & Sirjani, D. (2016). Faster Triage of Veterans With Head and Neck Cancer. Federal practitioner : for the health care professionals of the VA, DoD, and PHS, 3324S-29S.
Kligerman, Maxwell, et al. "Faster Triage of Veterans With Head and Neck Cancer." Federal practitioner : for the health care professionals of the VA, DoD, and PHS vol. 33 (2016): 24S-29S.
Kligerman M, Asaly A, Kwan M, Kaplan M, Fee WE, Yuan A, Benedam-Lenrow E, Song Y, Pham R, Sirjani D. Faster Triage of Veterans With Head and Neck Cancer. Fed Pract. 2016 Aug;33:24S-29S. PMID: 30766220; PMCID: PMC6375521.
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Flying couplers above spinning resonators generate irreversible refraction.

Nature

Maayani S, Dahan R, Kligerman Y, Moses E, Hassan AU, Jing H, Nori F, Christodoulides DN, Carmon T.
PMID: 29950624
Nature. 2018 Jun;558(7711):569-572. doi: 10.1038/s41586-018-0245-5. Epub 2018 Jun 27.

Creating optical components that allow light to propagate in only one direction-that is, that allow non-reciprocal propagation or 'isolation' of light-is important for a range of applications. Non-reciprocal propagation of sound can be achieved simply by using mechanical components...

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Maayani S, Dahan R, Kligerman Y, et al. Flying couplers above spinning resonators generate irreversible refraction. Nature. 2018;558(7711):569-572doi: 10.1038/s41586-018-0245-5.
Maayani, S., Dahan, R., Kligerman, Y., Moses, E., Hassan, A. U., Jing, H., Nori, F., Christodoulides, D. N., & Carmon, T. (2018). Flying couplers above spinning resonators generate irreversible refraction. Nature, 558(7711), 569-572. https://doi.org/10.1038/s41586-018-0245-5
Maayani, Shai, et al. "Flying couplers above spinning resonators generate irreversible refraction." Nature vol. 558,7711 (2018): 569-572. doi: https://doi.org/10.1038/s41586-018-0245-5
Maayani S, Dahan R, Kligerman Y, Moses E, Hassan AU, Jing H, Nori F, Christodoulides DN, Carmon T. Flying couplers above spinning resonators generate irreversible refraction. Nature. 2018 Jun;558(7711):569-572. doi: 10.1038/s41586-018-0245-5. Epub 2018 Jun 27. PMID: 29950624.
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Radiologist-supervised Transfer Learning: Improving Radiographic Localization of Pneumonia and Prognostication of Patients With COVID-19.

Journal of thoracic imaging

Hurt B, Rubel MA, Masutani EM, Jacobs K, Hahn L, Horowitz M, Kligerman S, Hsiao A.
PMID: 34710891
J Thorac Imaging. 2021 Oct 28; doi: 10.1097/RTI.0000000000000618. Epub 2021 Oct 28.

PURPOSE: To assess the potential of a transfer learning strategy leveraging radiologist supervision to enhance convolutional neural network-based (CNN) localization of pneumonia on radiographs and to further assess the prognostic value of CNN severity quantification on patients evaluated for...

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Hurt B, Rubel MA, Masutani EM, et al. Radiologist-supervised Transfer Learning: Improving Radiographic Localization of Pneumonia and Prognostication of Patients With COVID-19. J Thorac Imaging. 2021;doi: 10.1097/RTI.0000000000000618.
Hurt, B., Rubel, M. A., Masutani, E. M., Jacobs, K., Hahn, L., Horowitz, M., Kligerman, S., & Hsiao, A. (2021). Radiologist-supervised Transfer Learning: Improving Radiographic Localization of Pneumonia and Prognostication of Patients With COVID-19. Journal of thoracic imaging, . https://doi.org/10.1097/RTI.0000000000000618
Hurt, Brian, et al. "Radiologist-supervised Transfer Learning: Improving Radiographic Localization of Pneumonia and Prognostication of Patients With COVID-19." Journal of thoracic imaging vol. (2021). doi: https://doi.org/10.1097/RTI.0000000000000618
Hurt B, Rubel MA, Masutani EM, Jacobs K, Hahn L, Horowitz M, Kligerman S, Hsiao A. Radiologist-supervised Transfer Learning: Improving Radiographic Localization of Pneumonia and Prognostication of Patients With COVID-19. J Thorac Imaging. 2021 Oct 28; doi: 10.1097/RTI.0000000000000618. Epub 2021 Oct 28. PMID: 34710891.
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Immune-Mediated Lung Diseases.

Seminars in ultrasound, CT, and MR

Jacobs K, Kligerman S.
PMID: 31200870
Semin Ultrasound CT MR. 2019 Jun;40(3):213-228. doi: 10.1053/j.sult.2018.11.011. Epub 2018 Nov 30.

Immune-mediated lung diseases are a complex group of diseases characterized by inflammatory cellular infiltration of the lungs which can result in progressive airway remodeling and parenchymal injury. Diseases have variable presentation depending on antigen exposure, patient predisposition, and type...

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Jacobs K, Kligerman S. Immune-Mediated Lung Diseases. Semin Ultrasound CT MR. 2018;40(3):213-228doi: 10.1053/j.sult.2018.11.011.
Jacobs, K., & Kligerman, S. (2019). Immune-Mediated Lung Diseases. Seminars in ultrasound, CT, and MR, 40(3), 213-228. https://doi.org/10.1053/j.sult.2018.11.011
Jacobs, Kathleen, and Kligerman, Seth. "Immune-Mediated Lung Diseases." Seminars in ultrasound, CT, and MR vol. 40,3 (2019): 213-228. doi: https://doi.org/10.1053/j.sult.2018.11.011
Jacobs K, Kligerman S. Immune-Mediated Lung Diseases. Semin Ultrasound CT MR. 2019 Jun;40(3):213-228. doi: 10.1053/j.sult.2018.11.011. Epub 2018 Nov 30. PMID: 31200870.
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Head and Neck Cancer in Haiti: A Case Series from Hopital de L'Universite d'Etat d'Haiti.

International journal of otolaryngology

Kligerman MP, Alexandre A, Jean-Gilles P, Walmer DK, Gomez AJ, Kong CS, Cheney ML, Mittleman MA, Messner AH.
PMID: 30364200
Int J Otolaryngol. 2018 Oct 01;2018:9429287. doi: 10.1155/2018/9429287. eCollection 2018.

This manuscript characterizes the demographics, presenting symptoms and risk factors of patients diagnosed with head and neck cancer at Hopital de L'Universite d'Etat d'Haiti (HUEH), Haiti's single largest healthcare facility. We conducted a prospective study of patients who presented...

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Kligerman MP, Alexandre A, Jean-Gilles P, et al. Head and Neck Cancer in Haiti: A Case Series from Hopital de L'Universite d'Etat d'Haiti. Int J Otolaryngol. 2018;2018:9429287doi: 10.1155/2018/9429287.
Kligerman, M. P., Alexandre, A., Jean-Gilles, P., Walmer, D. K., Gomez, A. J., Kong, C. S., Cheney, M. L., Mittleman, M. A., & Messner, A. H. (2018). Head and Neck Cancer in Haiti: A Case Series from Hopital de L'Universite d'Etat d'Haiti. International journal of otolaryngology, 20189429287. https://doi.org/10.1155/2018/9429287
Kligerman, Maxwell P, et al. "Head and Neck Cancer in Haiti: A Case Series from Hopital de L'Universite d'Etat d'Haiti." International journal of otolaryngology vol. 2018 (2018): 9429287. doi: https://doi.org/10.1155/2018/9429287
Kligerman MP, Alexandre A, Jean-Gilles P, Walmer DK, Gomez AJ, Kong CS, Cheney ML, Mittleman MA, Messner AH. Head and Neck Cancer in Haiti: A Case Series from Hopital de L'Universite d'Etat d'Haiti. Int J Otolaryngol. 2018 Oct 01;2018:9429287. doi: 10.1155/2018/9429287. eCollection 2018. PMID: 30364200; PMCID: PMC6188769.
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Assessment of acute chest pain in the emergency department: Evaluation of the Rule Out Myocardial Infarction Using Computer Assisted Tomography (ROMICAT) trial and its future implications.

Current cardiology reports

Kligerman S, White C.
PMID: 20890687
Curr Cardiol Rep. 2011 Feb;13(1):6-8. doi: 10.1007/s11886-010-0147-0.

No abstract available.

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Kligerman S, White C. Assessment of acute chest pain in the emergency department: Evaluation of the Rule Out Myocardial Infarction Using Computer Assisted Tomography (ROMICAT) trial and its future implications. Curr Cardiol Rep. 2011;13(1):6-8doi: 10.1007/s11886-010-0147-0.
Kligerman, S., & White, C. (2011). Assessment of acute chest pain in the emergency department: Evaluation of the Rule Out Myocardial Infarction Using Computer Assisted Tomography (ROMICAT) trial and its future implications. Current cardiology reports, 13(1), 6-8. https://doi.org/10.1007/s11886-010-0147-0
Kligerman, Seth, and White, Charlie. "Assessment of acute chest pain in the emergency department: Evaluation of the Rule Out Myocardial Infarction Using Computer Assisted Tomography (ROMICAT) trial and its future implications." Current cardiology reports vol. 13,1 (2011): 6-8. doi: https://doi.org/10.1007/s11886-010-0147-0
Kligerman S, White C. Assessment of acute chest pain in the emergency department: Evaluation of the Rule Out Myocardial Infarction Using Computer Assisted Tomography (ROMICAT) trial and its future implications. Curr Cardiol Rep. 2011 Feb;13(1):6-8. doi: 10.1007/s11886-010-0147-0. PMID: 20890687.
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Cardiac MRI Evaluation of Myocarditis.

Current treatment options in cardiovascular medicine

Hahn L, Kligerman S.
PMID: 31732820
Curr Treat Options Cardiovasc Med. 2019 Nov 16;21(11):69. doi: 10.1007/s11936-019-0757-9.

PURPOSE OF REVIEW: Cardiac MRI (CMR) is the non-invasive test of choice for the assessment of myocarditis. In 2009, the Lake Louise Criteria for the diagnosis of myocarditis using CMR were first released. The decade since that time has...

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Hahn L, Kligerman S. Cardiac MRI Evaluation of Myocarditis. Curr Treat Options Cardiovasc Med. 2019;21(11):69doi: 10.1007/s11936-019-0757-9.
Hahn, L., & Kligerman, S. (2019). Cardiac MRI Evaluation of Myocarditis. Current treatment options in cardiovascular medicine, 21(11), 69. https://doi.org/10.1007/s11936-019-0757-9
Hahn, Lewis, and Kligerman, Seth. "Cardiac MRI Evaluation of Myocarditis." Current treatment options in cardiovascular medicine vol. 21,11 (2019): 69. doi: https://doi.org/10.1007/s11936-019-0757-9
Hahn L, Kligerman S. Cardiac MRI Evaluation of Myocarditis. Curr Treat Options Cardiovasc Med. 2019 Nov 16;21(11):69. doi: 10.1007/s11936-019-0757-9. PMID: 31732820.
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4D Flow MRI Quantification of Congenital Shunts: Comparison to Invasive Catheterization.

Radiology. Cardiothoracic imaging

Horowitz MJ, Kupsky DF, El-Said HG, Alshawabkeh L, Kligerman SJ, Hsiao A.
PMID: 33969306
Radiol Cardiothorac Imaging. 2021 Apr 01;3(2):e200446. doi: 10.1148/ryct.2021200446. eCollection 2021 Apr.

PURPOSE: To compare invasive right heart catheterization with four-dimensional (4D) flow MRI for estimating shunt fraction in patients with intracardiac and extracardiac shunts.MATERIALS AND METHODS: In this retrospective study, patients who underwent 4D flow MRI and invasive right heart...

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Horowitz MJ, Kupsky DF, El-Said HG, et al. 4D Flow MRI Quantification of Congenital Shunts: Comparison to Invasive Catheterization. Radiol Cardiothorac Imaging. 2021;3(2):e200446doi: 10.1148/ryct.2021200446.
Horowitz, M. J., Kupsky, D. F., El-Said, H. G., Alshawabkeh, L., Kligerman, S. J., & Hsiao, A. (2021). 4D Flow MRI Quantification of Congenital Shunts: Comparison to Invasive Catheterization. Radiology. Cardiothoracic imaging, 3(2), e200446. https://doi.org/10.1148/ryct.2021200446
Horowitz, Michael J, et al. "4D Flow MRI Quantification of Congenital Shunts: Comparison to Invasive Catheterization." Radiology. Cardiothoracic imaging vol. 3,2 (2021): e200446. doi: https://doi.org/10.1148/ryct.2021200446
Horowitz MJ, Kupsky DF, El-Said HG, Alshawabkeh L, Kligerman SJ, Hsiao A. 4D Flow MRI Quantification of Congenital Shunts: Comparison to Invasive Catheterization. Radiol Cardiothorac Imaging. 2021 Apr 01;3(2):e200446. doi: 10.1148/ryct.2021200446. eCollection 2021 Apr. PMID: 33969306; PMCID: PMC8098085.
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Automated CT Staging of Chronic Obstructive Pulmonary Disease Severity for Predicting Disease Progression and Mortality with a Deep Learning Convolutional Neural Network.

Radiology. Cardiothoracic imaging

Hasenstab KA, Yuan N, Retson T, Conrad DJ, Kligerman S, Lynch DA, Hsiao A.
PMID: 33969307
Radiol Cardiothorac Imaging. 2021 Apr 08;3(2):e200477. doi: 10.1148/ryct.2021200477. eCollection 2021 Apr.

PURPOSE: To develop a deep learning-based algorithm to stage the severity of chronic obstructive pulmonary disease (COPD) through quantification of emphysema and air trapping on CT images and to assess the ability of the proposed stages to prognosticate 5-year...

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Hasenstab KA, Yuan N, Retson T, et al. Automated CT Staging of Chronic Obstructive Pulmonary Disease Severity for Predicting Disease Progression and Mortality with a Deep Learning Convolutional Neural Network. Radiol Cardiothorac Imaging. 2021;3(2):e200477doi: 10.1148/ryct.2021200477.
Hasenstab, K. A., Yuan, N., Retson, T., Conrad, D. J., Kligerman, S., Lynch, D. A., Hsiao, A. (2021). Automated CT Staging of Chronic Obstructive Pulmonary Disease Severity for Predicting Disease Progression and Mortality with a Deep Learning Convolutional Neural Network. Radiology. Cardiothoracic imaging, 3(2), e200477. https://doi.org/10.1148/ryct.2021200477
Hasenstab, Kyle A, et al. "Automated CT Staging of Chronic Obstructive Pulmonary Disease Severity for Predicting Disease Progression and Mortality with a Deep Learning Convolutional Neural Network." Radiology. Cardiothoracic imaging vol. 3,2 (2021): e200477. doi: https://doi.org/10.1148/ryct.2021200477
Hasenstab KA, Yuan N, Retson T, Conrad DJ, Kligerman S, Lynch DA, Hsiao A. Automated CT Staging of Chronic Obstructive Pulmonary Disease Severity for Predicting Disease Progression and Mortality with a Deep Learning Convolutional Neural Network. Radiol Cardiothorac Imaging. 2021 Apr 08;3(2):e200477. doi: 10.1148/ryct.2021200477. eCollection 2021 Apr. PMID: 33969307; PMCID: PMC8098086.
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CT Findings and Patterns of e-Cigarette or Vaping Product Use-Associated Lung Injury: A Multicenter Cohort of 160 Cases.

Chest

Kligerman SJ, Kay FU, Raptis CA, Henry TS, Sechrist JW, Walker CM, Vargas D, Filev PD, Chung MS, Digumarthy SR, Ropp AM, Mohammed TL, Pope KW, Marquis KM, Chung JH, Kanne JP.
PMID: 33957099
Chest. 2021 Oct;160(4):1492-1511. doi: 10.1016/j.chest.2021.04.054. Epub 2021 May 03.

BACKGROUND: e-Cigarette or vaping-induced lung injury (EVALI) causes a spectrum of CT lung injury patterns. Relative frequencies and associations with vaping behavior are unknown.RESEARCH QUESTION: What are the frequencies of imaging findings and CT patterns in EVALI and what...

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Kligerman SJ, Kay FU, Raptis CA, et al. CT Findings and Patterns of e-Cigarette or Vaping Product Use-Associated Lung Injury: A Multicenter Cohort of 160 Cases. Chest. 2021;160(4):1492-1511doi: 10.1016/j.chest.2021.04.054.
Kligerman, S. J., Kay, F. U., Raptis, C. A., Henry, T. S., Sechrist, J. W., Walker, C. M., Vargas, D., Filev, P. D., Chung, M. S., Digumarthy, S. R., Ropp, A. M., Mohammed, T. L., Pope, K. W., Marquis, K. M., Chung, J. H., & Kanne, J. P. (2021). CT Findings and Patterns of e-Cigarette or Vaping Product Use-Associated Lung Injury: A Multicenter Cohort of 160 Cases. Chest, 160(4), 1492-1511. https://doi.org/10.1016/j.chest.2021.04.054
Kligerman, Seth J, et al. "CT Findings and Patterns of e-Cigarette or Vaping Product Use-Associated Lung Injury: A Multicenter Cohort of 160 Cases." Chest vol. 160,4 (2021): 1492-1511. doi: https://doi.org/10.1016/j.chest.2021.04.054
Kligerman SJ, Kay FU, Raptis CA, Henry TS, Sechrist JW, Walker CM, Vargas D, Filev PD, Chung MS, Digumarthy SR, Ropp AM, Mohammed TL, Pope KW, Marquis KM, Chung JH, Kanne JP. CT Findings and Patterns of e-Cigarette or Vaping Product Use-Associated Lung Injury: A Multicenter Cohort of 160 Cases. Chest. 2021 Oct;160(4):1492-1511. doi: 10.1016/j.chest.2021.04.054. Epub 2021 May 03. PMID: 33957099; PMCID: PMC8546241.
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Showing 1 to 12 of 33 entries