Výsledky vyhledávání - "Mark D. Kovacs"

Multi-Center Follow-up Study to Develop a Classification System Which Differentiates Mucinous Cystic Neoplasm of the Liver and Benign Hepatic Cyst Using Machine Learning

Autor: Robert Petrocelli, James H. Boyum, Cristina H. Hajdu, Sudhakar K. Venkatesh, Smitha Mruthyunjayappa, Mark D. Kovacs, Kedar G Sharbidre, Mohd Zahid, Jordan Chamberlin, Andrew D. Hardie, Brian Flemming

Publikováno v: Academic Radiology. 29:1149-1156

Rationale and Objectives To date, no clinically useful classification system has been developed for reliably differentiating mucinous cystic neoplasm (MCN) from a benign hepatic cyst (BHC) in the liver. The objective was to use machine learning and a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdfa4bd02b37dcf3fe0c24888aba7562
https://doi.org/10.1016/j.acra.2021.08.025

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Added value of iodine-specific imaging and virtual non-contrast imaging for gastrointestinal assessment using dual-energy computed tomography

Autor: Madison R. Kocher, Mark D. Kovacs, William Stewart, Brian P. Flemming, Shaun Hinen, Andrew D. Hardie

Publikováno v: Journal of Clinical Imaging Science

Dual-energy computed tomography (DECT) has become increasingly available and can be readily incorporated into clinical practice. Although DECT can provide a wide variety of spectral imaging reconstructions, most clinically valuable information is ava

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5fb848df74ced4eaf393d602c9b26d8
http://europepmc.org/articles/PMC8720433

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Combined Qualitative and Quantitative Assessment of Low-Attenuation Renal Lesions Improves Identification of Renal Malignancy on Noncontrast Computed Tomography

Autor: Kyle Freeman, Mark D. Kovacs, Andrew D. Hardie, Dante A Giovagnoli, Melissa M. Picard, Phillip F Burchett, Neil Shah, Brian Flemming

Publikováno v: Journal of Computer Assisted Tomography. 43:852-856

Objective The objective of this study was to assess renal lesions measuring less than 20 Hounsfield units (HU) on noncontrast computed tomography (NCT). Methods Twenty-one (18.1%) of 116 consecutive pathologically proven renal cell carcinomas measure

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99b0306aa2b9e24aa916a0cd93dcab51
https://doi.org/10.1097/rct.0000000000000930

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Non-contrast and portal venous phase computed tomography in breast cancer hepatic metastases: comparison of tumor measurements and impact on response assessment

Autor: Brian Flemming, Philip Burchett, Mark D. Kovacs, Douglas H. Sheafor, Andrew D. Hardie, Heather R. Collins, Melissa M. Picard

Publikováno v: Acta Radiologica Open

Background For many common malignancies, including breast cancer, evaluation for metastatic disease using multiphase computed tomography (CT) has fallen out of favor and been replaced by studies performed only in the portal venous phase. However, dif

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4be6f9b01fc25798be1633a18b62c758
http://europepmc.org/articles/PMC7917424

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Differentiating biliary cystadenomas from benign hepatic cysts: Preliminary analysis of new predictive imaging features

Autor: Douglas H. Sheafor, Melissa M. Picard, Andrew D. Hardie, Mark D. Kovacs, Philip Burchett

Publikováno v: Clinical Imaging. 49:44-47

Objective To identify performance of imaging features in differentiating hepatic cysts from biliary cystadenomas of the liver. Methods 25 pathologically confirmed hepatic cystic lesions (hepatic cysts or biliary cystadenomas) were evaluated retrospec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d546118bc5283a225c23c9011366d7d
https://doi.org/10.1016/j.clinimag.2017.10.022

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Benefits of Integrated RIS/PACS/Reporting Due to Automatic Population of Templated Reports

Autor: Maximilian Y Cho, Mark D. Kovacs, Michael Trambert, Philip Burchett

Publikováno v: Current Problems in Diagnostic Radiology. 48:37-39

With integration of the Radiological Information Systems (RIS), Picture Archiving and Communication systems (PACS), and reporting systems, patient identifiers and examination information can automatically map into examination reports. There are many

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::873afad53b152e5d8b86c2e5ecdc7666
https://doi.org/10.1067/j.cpradiol.2017.12.002

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Correlate: A PACS- and EHR-integrated Tool Leveraging Natural Language Processing to Provide Automated Clinical Follow-up

Autor: John Mongan, Joseph Mesterhazy, Mark D. Kovacs, David E. Avrin, Thomas H. Urbania

Publikováno v: RadioGraphics. 37:1451-1460

A major challenge for radiologists is obtaining meaningful clinical follow-up information for even a small percentage of cases encountered and dictated. Traditional methods, such as keeping medical record number follow-up lists, discussing cases with

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5506cac1676b792ce88a572d45850e7
https://doi.org/10.1148/rg.2017160195

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Acute Appendicitis Involving a De Garengeot Hernia

Autor: Kyle Freeman, Mark D. Kovacs, Melissa M. Picard

Publikováno v: Journal of Computer Assisted Tomography. 42:727-729

We present a case of appendicitis within a De Garengeot hernia. The patient presented to the emergency department with 4 days of worsening abdominal pain. Computed tomography examination revealed an inflamed appendix within a femoral hernia. The pati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7aa9ba2044f5ac58f6c2936b462860cc
https://doi.org/10.1097/rct.0000000000000750

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Impact of low-kVp scan technique on oral contrast density at abdominopelvic CT

Autor: Philip Burchett, Brenton Davis, Andrew D. Hardie, Mark D. Kovacs, Douglas H. Sheafor, Melissa M. Picard

Publikováno v: La Radiologia medica. 123(12)

To assess quantitative and qualitative effects of kVp on oral contrast density. Three readers retrospectively reviewed 100 CT scans performed at a range of high- and low-energy settings, independently determining their preferred window and level sett

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68691575952073476cf1e699d5cb0571
https://pubmed.ncbi.nlm.nih.gov/30084109

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