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Showing 1981 to 1992 of 1995 entries
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Quantitative diffusion-weighted imaging and dynamic contrast-enhanced MR imaging for assessment of tumor aggressiveness in prostate cancer at 3T.

Magnetic resonance imaging

Fukunaga T, Tamada T, Kanomata N, Takeuchi M, Ueda Y, Miyaji Y, Kido A, Yamamoto A, Sone T.
PMID: 34454006
Magn Reson Imaging. 2021 Nov;83:152-159. doi: 10.1016/j.mri.2021.08.009. Epub 2021 Aug 25.

PURPOSE: To compare diffusion-weighted imaging (DWI) and dynamic contrast-enhanced MR imaging (DCE-MRI) for characterization of prostate cancer (PC).METHODS: 104 PC patients who underwent prostate multiparametric MRI at 3T including DWI and DCE-MRI before MRI-guided biopsy or radical prostatectomy. Apparent...

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Fukunaga T, Tamada T, Kanomata N, et al. Quantitative diffusion-weighted imaging and dynamic contrast-enhanced MR imaging for assessment of tumor aggressiveness in prostate cancer at 3T. Magn Reson Imaging. 2021;83:152-159doi: 10.1016/j.mri.2021.08.009.
Fukunaga, T., Tamada, T., Kanomata, N., Takeuchi, M., Ueda, Y., Miyaji, Y., Kido, A., Yamamoto, A., & Sone, T. (2021). Quantitative diffusion-weighted imaging and dynamic contrast-enhanced MR imaging for assessment of tumor aggressiveness in prostate cancer at 3T. Magnetic resonance imaging, 83152-159. https://doi.org/10.1016/j.mri.2021.08.009
Fukunaga, Takeshi, et al. "Quantitative diffusion-weighted imaging and dynamic contrast-enhanced MR imaging for assessment of tumor aggressiveness in prostate cancer at 3T." Magnetic resonance imaging vol. 83 (2021): 152-159. doi: https://doi.org/10.1016/j.mri.2021.08.009
Fukunaga T, Tamada T, Kanomata N, Takeuchi M, Ueda Y, Miyaji Y, Kido A, Yamamoto A, Sone T. Quantitative diffusion-weighted imaging and dynamic contrast-enhanced MR imaging for assessment of tumor aggressiveness in prostate cancer at 3T. Magn Reson Imaging. 2021 Nov;83:152-159. doi: 10.1016/j.mri.2021.08.009. Epub 2021 Aug 25. PMID: 34454006.
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Outcomes of Multiple Runs of Extracorporeal Membrane Oxygenation: An analysis of the Extracorporeal Life Support Registry.

Journal of intensive care medicine

Cooper DS, Thiagarajan R, Henry BM, Byrnes JW, Misfeldt A, Frischer J, King E, Gao Z, Rycus P, Marino BS.
PMID: 33349100
J Intensive Care Med. 2022 Feb;37(2):195-201. doi: 10.1177/0885066620981903. Epub 2020 Dec 22.

OBJECTIVE: When patients deteriorate after decannulation from extracorporeal membrane oxygenation (ECMO), a second run of extracorporeal support may be considered. However, repeat cannulation can be difficult and poor outcomes associated with multiple ECMO runs are a concern. The aim...

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Cooper DS, Thiagarajan R, Henry BM, et al. Outcomes of Multiple Runs of Extracorporeal Membrane Oxygenation: An analysis of the Extracorporeal Life Support Registry. J Intensive Care Med. 2020;37(2):195-201doi: 10.1177/0885066620981903.
Cooper, D. S., Thiagarajan, R., Henry, B. M., Byrnes, J. W., Misfeldt, A., Frischer, J., King, E., Gao, Z., Rycus, P., & Marino, B. S. (2022). Outcomes of Multiple Runs of Extracorporeal Membrane Oxygenation: An analysis of the Extracorporeal Life Support Registry. Journal of intensive care medicine, 37(2), 195-201. https://doi.org/10.1177/0885066620981903
Cooper, David S, et al. "Outcomes of Multiple Runs of Extracorporeal Membrane Oxygenation: An analysis of the Extracorporeal Life Support Registry." Journal of intensive care medicine vol. 37,2 (2022): 195-201. doi: https://doi.org/10.1177/0885066620981903
Cooper DS, Thiagarajan R, Henry BM, Byrnes JW, Misfeldt A, Frischer J, King E, Gao Z, Rycus P, Marino BS. Outcomes of Multiple Runs of Extracorporeal Membrane Oxygenation: An analysis of the Extracorporeal Life Support Registry. J Intensive Care Med. 2022 Feb;37(2):195-201. doi: 10.1177/0885066620981903. Epub 2020 Dec 22. PMID: 33349100.
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The jungle of risk scores and their inability to predict long-term survival. The truth behind the mirror.

Journal of cardiac surgery

Dokollari A, Bisleri G, Patel DS, Kalra DK, Gelsomino S, Bonacchi M.
PMID: 33938593
J Card Surg. 2021 Aug;36(8):3004-3005. doi: 10.1111/jocs.15589. Epub 2021 May 03.

No abstract available.

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Dokollari A, Bisleri G, Patel DS, et al. The jungle of risk scores and their inability to predict long-term survival. The truth behind the mirror. J Card Surg. 2021;36(8):3004-3005doi: 10.1111/jocs.15589.
Dokollari, A., Bisleri, G., Patel, D. S., Kalra, D. K., Gelsomino, S., & Bonacchi, M. (2021). The jungle of risk scores and their inability to predict long-term survival. The truth behind the mirror. Journal of cardiac surgery, 36(8), 3004-3005. https://doi.org/10.1111/jocs.15589
Dokollari, Aleksander, et al. "The jungle of risk scores and their inability to predict long-term survival. The truth behind the mirror." Journal of cardiac surgery vol. 36,8 (2021): 3004-3005. doi: https://doi.org/10.1111/jocs.15589
Dokollari A, Bisleri G, Patel DS, Kalra DK, Gelsomino S, Bonacchi M. The jungle of risk scores and their inability to predict long-term survival. The truth behind the mirror. J Card Surg. 2021 Aug;36(8):3004-3005. doi: 10.1111/jocs.15589. Epub 2021 May 03. PMID: 33938593.
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[Comparison of magnetic resonance imaging-transrectal ultrasound fusion prostate biopsy with standard systematic biopsy: A single center experience.].

Archivos espanoles de urologia

Koparal MY, Bulut EC, Çetin S, Coşar U, Budak FÇ, Uçar M, Tokgöz N, Şentürk AB, Şen İ, Sözen TS.
PMID: 34605408
Arch Esp Urol. 2021 Oct;74(8):790-795.

OBJECTIVE: To compare systematic biopsy with MRI-TRUS fusion prostate biopsy in terms of cancer detection rates.PATIENTS AND METHODS: The data of the patients who had a Prostate Imaging Reporting and Data System (PI-RADS) score of 3 or more lesions...

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Koparal MY, Bulut EC, Çetin S, et al. Comparación de la resonancia magnética biopsia próstata transrectal guiada por ultrasonido con fusión de resonancia magnética con la biopsia próstata sistemática: resultados de un solo centro. [Comparison of magnetic resonance imaging-transrectal ultrasound fusion prostate biopsy with standard systematic biopsy: A single center experience.]. Arch Esp Urol. 2021;74(8):790-795
Koparal, M. Y., Bulut, E. C., Çetin, S., Coşar, U., Budak, F. �. �., Uçar, M., Tokgöz, N., Şentürk, A. B., Şen, �. �., & Sözen, T. S. (2021). Comparación de la resonancia magnética biopsia próstata transrectal guiada por ultrasonido con fusión de resonancia magnética con la biopsia próstata sistemática: resultados de un solo centro. [Comparison of magnetic resonance imaging-transrectal ultrasound fusion prostate biopsy with standard systematic biopsy: A single center experience.]. Archivos espanoles de urologia, 74(8), 790-795.
Koparal, Murat Yavuz, et al. "Comparación de la resonancia magnética biopsia próstata transrectal guiada por ultrasonido con fusión de resonancia magnética con la biopsia próstata sistemática: resultados de un solo centro." [Comparison of magnetic resonance imaging-transrectal ultrasound fusion prostate biopsy with standard systematic biopsy: A single center experience.]. Archivos espanoles de urologia vol. 74,8 (2021): 790-795.
Koparal MY, Bulut EC, Çetin S, Coşar U, Budak FÇ, Uçar M, Tokgöz N, Şentürk AB, Şen İ, Sözen TS. Comparación de la resonancia magnética biopsia próstata transrectal guiada por ultrasonido con fusión de resonancia magnética con la biopsia próstata sistemática: resultados de un solo centro. [Comparison of magnetic resonance imaging-transrectal ultrasound fusion prostate biopsy with standard systematic biopsy: A single center experience.]. Arch Esp Urol. 2021 Oct;74(8):790-795. Spanish. PMID: 34605408.
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First-generation and continuing-generation college graduates' application, acceptance, and matriculation to U.S. medical schools: a national cohort study.

Medical education online

Mason HRC, Ata A, Nguyen M, Nakae S, Chakraverty D, Eggan B, Martinez S, Jeffe DB.
PMID: 34898403
Med Educ Online. 2022 Dec;27(1):2010291. doi: 10.1080/10872981.2021.2010291.

Many U.S. medical schools conduct holistic review of applicants to enhance the socioeconomic and experiential diversity of the physician workforce. The authors examined the role of first-generation college-graduate status on U.S. medical school application, acceptance, and matriculation, hypothesizing that...

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Mason HRC, Ata A, Nguyen M, et al. First-generation and continuing-generation college graduates' application, acceptance, and matriculation to U.S. medical schools: a national cohort study. Med Educ Online. 2022;27(1):2010291doi: 10.1080/10872981.2021.2010291.
Mason, H. R. C., Ata, A., Nguyen, M., Nakae, S., Chakraverty, D., Eggan, B., Martinez, S., & Jeffe, D. B. (2022). First-generation and continuing-generation college graduates' application, acceptance, and matriculation to U.S. medical schools: a national cohort study. Medical education online, 27(1), 2010291. https://doi.org/10.1080/10872981.2021.2010291
Mason, Hyacinth R C, et al. "First-generation and continuing-generation college graduates' application, acceptance, and matriculation to U.S. medical schools: a national cohort study." Medical education online vol. 27,1 (2022): 2010291. doi: https://doi.org/10.1080/10872981.2021.2010291
Mason HRC, Ata A, Nguyen M, Nakae S, Chakraverty D, Eggan B, Martinez S, Jeffe DB. First-generation and continuing-generation college graduates' application, acceptance, and matriculation to U.S. medical schools: a national cohort study. Med Educ Online. 2022 Dec;27(1):2010291. doi: 10.1080/10872981.2021.2010291. PMID: 34898403.
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How to Center Patients by Managing Unexpected Findings.

Radiology

Safdar NM.
PMID: 34374595
Radiology. 2021 Oct;301(1):131-132. doi: 10.1148/radiol.2021211538. Epub 2021 Aug 10.

No abstract available.

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Safdar NM. How to Center Patients by Managing Unexpected Findings. Radiology. 2021;301(1):131-132doi: 10.1148/radiol.2021211538.
Safdar, N. M. (2021). How to Center Patients by Managing Unexpected Findings. Radiology, 301(1), 131-132. https://doi.org/10.1148/radiol.2021211538
Safdar, Nabile M. "How to Center Patients by Managing Unexpected Findings." Radiology vol. 301,1 (2021): 131-132. doi: https://doi.org/10.1148/radiol.2021211538
Safdar NM. How to Center Patients by Managing Unexpected Findings. Radiology. 2021 Oct;301(1):131-132. doi: 10.1148/radiol.2021211538. Epub 2021 Aug 10. PMID: 34374595.
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Procedural times in early non-intubated VATS program - a propensity score analysis.

BMC anesthesiology

Metelmann I, Broschewitz J, Pietsch UC, Huschak G, Eichfeld U, Bercker S, Kraemer S.
PMID: 33573604
BMC Anesthesiol. 2021 Feb 11;21(1):44. doi: 10.1186/s12871-021-01270-4.

BACKGROUND: Non-intubated video-assisted thoracic surgery (NiVATS) has been introduced to surgical medicine in order to reduce the invasiveness of anesthetic procedures and avoid adverse effects of intubation and one-lung ventilation (OLV). The aim of this study is to determine...

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Metelmann I, Broschewitz J, Pietsch UC, et al. Procedural times in early non-intubated VATS program - a propensity score analysis. BMC Anesthesiol. 2021;21(1):44doi: 10.1186/s12871-021-01270-4.
Metelmann, I., Broschewitz, J., Pietsch, U. C., Huschak, G., Eichfeld, U., Bercker, S., & Kraemer, S. (2021). Procedural times in early non-intubated VATS program - a propensity score analysis. BMC anesthesiology, 21(1), 44. https://doi.org/10.1186/s12871-021-01270-4
Metelmann, Isabella, et al. "Procedural times in early non-intubated VATS program - a propensity score analysis." BMC anesthesiology vol. 21,1 (2021): 44. doi: https://doi.org/10.1186/s12871-021-01270-4
Metelmann I, Broschewitz J, Pietsch UC, Huschak G, Eichfeld U, Bercker S, Kraemer S. Procedural times in early non-intubated VATS program - a propensity score analysis. BMC Anesthesiol. 2021 Feb 11;21(1):44. doi: 10.1186/s12871-021-01270-4. PMID: 33573604; PMCID: PMC7877094.
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[Clinical impact of abbreviated unenhanced prostate protocols in magnetic resonance imaging].

Der Radiologe

Solyanik O, Heimer M.
PMID: 34297140
Radiologe. 2021 Sep;61(9):810-817. doi: 10.1007/s00117-021-00890-8. Epub 2021 Jul 23.

BACKGROUND: According to the Prostate Imaging Reporting and Data System (PI-RADS) v2.1 multiparametric magnetic resonance imaging (mpMRI) with gadolinium-(Gd)-based contrast agents is the diagnostic standard of care in the detection of prostate cancer (PCa). Recent data suggest equivalent performance...

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Solyanik O, Heimer M. Klinischer Stellenwert kontrastmittelfreier Kurzprotokolle in der Magnetresonanztomographie. [Clinical impact of abbreviated unenhanced prostate protocols in magnetic resonance imaging]. Radiologe. 2021;61(9):810-817doi: 10.1007/s00117-021-00890-8.
Solyanik, O., & Heimer, M. (2021). Klinischer Stellenwert kontrastmittelfreier Kurzprotokolle in der Magnetresonanztomographie. [Clinical impact of abbreviated unenhanced prostate protocols in magnetic resonance imaging]. Der Radiologe, 61(9), 810-817. https://doi.org/10.1007/s00117-021-00890-8
Solyanik, Olga, and Heimer, Maurice. "Klinischer Stellenwert kontrastmittelfreier Kurzprotokolle in der Magnetresonanztomographie." [Clinical impact of abbreviated unenhanced prostate protocols in magnetic resonance imaging]. Der Radiologe vol. 61,9 (2021): 810-817. doi: https://doi.org/10.1007/s00117-021-00890-8
Solyanik O, Heimer M. Klinischer Stellenwert kontrastmittelfreier Kurzprotokolle in der Magnetresonanztomographie. [Clinical impact of abbreviated unenhanced prostate protocols in magnetic resonance imaging]. Radiologe. 2021 Sep;61(9):810-817. doi: 10.1007/s00117-021-00890-8. Epub 2021 Jul 23. German. PMID: 34297140.
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Residents transitioning between hospital and care homes: protocol for codesigning a systems-level response to safety issues (SafeST study).

BMJ open

Scott J, Brittain K, Byrnes K, Dawson P, Mulrine S, Spencer M, Waring J, Young-Murphy L.
PMID: 34992105
BMJ Open. 2022 Jan 06;12(1):e050665. doi: 10.1136/bmjopen-2021-050665.

INTRODUCTION: The aim of this study is to develop a better understanding of incident reporting in relation to transitions in care between hospital and care home, and to codesign a systems-level response to safety issues for patients transitioning between...

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Scott J, Brittain K, Byrnes K, et al. Residents transitioning between hospital and care homes: protocol for codesigning a systems-level response to safety issues (SafeST study). BMJ Open. 2022;12(1):e050665doi: 10.1136/bmjopen-2021-050665.
Scott, J., Brittain, K., Byrnes, K., Dawson, P., Mulrine, S., Spencer, M., Waring, J., & Young-Murphy, L. (2022). Residents transitioning between hospital and care homes: protocol for codesigning a systems-level response to safety issues (SafeST study). BMJ open, 12(1), e050665. https://doi.org/10.1136/bmjopen-2021-050665
Scott, Jason, et al. "Residents transitioning between hospital and care homes: protocol for codesigning a systems-level response to safety issues (SafeST study)." BMJ open vol. 12,1 (2022): e050665. doi: https://doi.org/10.1136/bmjopen-2021-050665
Scott J, Brittain K, Byrnes K, Dawson P, Mulrine S, Spencer M, Waring J, Young-Murphy L. Residents transitioning between hospital and care homes: protocol for codesigning a systems-level response to safety issues (SafeST study). BMJ Open. 2022 Jan 06;12(1):e050665. doi: 10.1136/bmjopen-2021-050665. PMID: 34992105.
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A state-wide study of dental comorbidities in psychiatric disorders resulting in avoidable emergency department presentations.

Australian dental journal

Kisely S, Lalloo R.
PMID: 34325489
Aust Dent J. 2021 Dec;66(4):423-429. doi: 10.1111/adj.12870. Epub 2021 Aug 14.

BACKGROUND: Attendances at emergency departments (EDs) for dental conditions are unnecessary and come at a significant cost to health services.METHODS: A population-based record-linkage analysis of a retrospective cohort over 2 years across state-based facilities in Queensland. This was to...

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Kisely S, Lalloo R. A state-wide study of dental comorbidities in psychiatric disorders resulting in avoidable emergency department presentations. Aust Dent J. 2021;66(4):423-429doi: 10.1111/adj.12870.
Kisely, S., & Lalloo, R. (2021). A state-wide study of dental comorbidities in psychiatric disorders resulting in avoidable emergency department presentations. Australian dental journal, 66(4), 423-429. https://doi.org/10.1111/adj.12870
Kisely, S, and Lalloo, R. "A state-wide study of dental comorbidities in psychiatric disorders resulting in avoidable emergency department presentations." Australian dental journal vol. 66,4 (2021): 423-429. doi: https://doi.org/10.1111/adj.12870
Kisely S, Lalloo R. A state-wide study of dental comorbidities in psychiatric disorders resulting in avoidable emergency department presentations. Aust Dent J. 2021 Dec;66(4):423-429. doi: 10.1111/adj.12870. Epub 2021 Aug 14. PMID: 34325489.
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Longitudinal Reliability of Milestones-Based Learning Trajectories in Family Medicine Residents.

JAMA network open

Park YS, Hamstra SJ, Yamazaki K, Holmboe E.
PMID: 34874406
JAMA Netw Open. 2021 Dec 01;4(12):e2137179. doi: 10.1001/jamanetworkopen.2021.37179.

IMPORTANCE: Longitudinal Milestones data reported to the Accreditation Council for Graduate Medical Education (ACGME) can be used to measure the developmental and educational progression of learners. Learning trajectories illustrate the pattern and rate at which learners acquire competencies toward...

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Park YS, Hamstra SJ, Yamazaki K, et al. Longitudinal Reliability of Milestones-Based Learning Trajectories in Family Medicine Residents. JAMA Netw Open. 2021;4(12):e2137179doi: 10.1001/jamanetworkopen.2021.37179.
Park, Y. S., Hamstra, S. J., Yamazaki, K., & Holmboe, E. (2021). Longitudinal Reliability of Milestones-Based Learning Trajectories in Family Medicine Residents. JAMA network open, 4(12), e2137179. https://doi.org/10.1001/jamanetworkopen.2021.37179
Park, Yoon Soo, et al. "Longitudinal Reliability of Milestones-Based Learning Trajectories in Family Medicine Residents." JAMA network open vol. 4,12 (2021): e2137179. doi: https://doi.org/10.1001/jamanetworkopen.2021.37179
Park YS, Hamstra SJ, Yamazaki K, Holmboe E. Longitudinal Reliability of Milestones-Based Learning Trajectories in Family Medicine Residents. JAMA Netw Open. 2021 Dec 01;4(12):e2137179. doi: 10.1001/jamanetworkopen.2021.37179. PMID: 34874406; PMCID: PMC8652607.
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Prediction model of in-hospital mortality in intensive care unit patients with heart failure: machine learning-based, retrospective analysis of the MIMIC-III database.

BMJ open

Li F, Xin H, Zhang J, Fu M, Zhou J, Lian Z.
PMID: 34301649
BMJ Open. 2021 Jul 23;11(7):e044779. doi: 10.1136/bmjopen-2020-044779.

OBJECTIVE: The predictors of in-hospital mortality for intensive care units (ICUs)-admitted heart failure (HF) patients remain poorly characterised. We aimed to develop and validate a prediction model for all-cause in-hospital mortality among ICU-admitted HF patients.DESIGN: A retrospective cohort study.SETTING...

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Li F, Xin H, Zhang J, et al. Prediction model of in-hospital mortality in intensive care unit patients with heart failure: machine learning-based, retrospective analysis of the MIMIC-III database. BMJ Open. 2021;11(7):e044779doi: 10.1136/bmjopen-2020-044779.
Li, F., Xin, H., Zhang, J., Fu, M., Zhou, J., & Lian, Z. (2021). Prediction model of in-hospital mortality in intensive care unit patients with heart failure: machine learning-based, retrospective analysis of the MIMIC-III database. BMJ open, 11(7), e044779. https://doi.org/10.1136/bmjopen-2020-044779
Li, Fuhai, et al. "Prediction model of in-hospital mortality in intensive care unit patients with heart failure: machine learning-based, retrospective analysis of the MIMIC-III database." BMJ open vol. 11,7 (2021): e044779. doi: https://doi.org/10.1136/bmjopen-2020-044779
Li F, Xin H, Zhang J, Fu M, Zhou J, Lian Z. Prediction model of in-hospital mortality in intensive care unit patients with heart failure: machine learning-based, retrospective analysis of the MIMIC-III database. BMJ Open. 2021 Jul 23;11(7):e044779. doi: 10.1136/bmjopen-2020-044779. PMID: 34301649; PMCID: PMC8311359.
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Showing 1981 to 1992 of 1995 entries