Literature DB >> 26130223

Code Abdomen: An Assessment Coding Scheme for Abdominal Imaging Findings Possibly Representing Cancer.

Hanna M Zafar1, Seetharam C Chadalavada2, Charles E Kahn2, Tessa S Cook2, Caroline E Sloan2, Darco Lalevic2, Curtis P Langlotz3, Mitchell D Schnall4.   

Abstract

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Year:  2015        PMID： 26130223      PMCID： PMC4852851          DOI： 10.1016/j.jacr.2015.04.005

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN： 1546-1440            Impact factor:   5.532


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  11 in total

1.  The American College of Radiology strategy for managing incidental findings on abdominal computed tomography.

Authors:  Lincoln L Berland
Journal:  Radiol Clin North Am       Date:  2010-12-13       Impact factor: 2.303

2.  Actionable findings and the role of IT support: report of the ACR Actionable Reporting Work Group.

Authors:  Paul A Larson; Lincoln L Berland; Brent Griffith; Charles E Kahn; Lawrence A Liebscher
Journal:  J Am Coll Radiol       Date:  2014-01-30       Impact factor: 5.532

3.  Etiology of solitary extrapulmonary positron emission tomography and computed tomography findings in patients with lung cancer.

Authors:  Didier Lardinois; Walter Weder; Marina Roudas; Gustav K von Schulthess; Michaela Tutic; Holger Moch; Rolf A Stahel; Hans C Steinert
Journal:  J Clin Oncol       Date:  2005-10-01       Impact factor: 44.544

4.  "I wish I had seen this test result earlier!": Dissatisfaction with test result management systems in primary care.

Authors:  Eric G Poon; Tejal K Gandhi; Thomas D Sequist; Harvey J Murff; Andrew S Karson; David W Bates
Journal:  Arch Intern Med       Date:  2004-11-08

5.  The Bosniak renal cyst classification: 25 years later.

Authors:  Morton A Bosniak
Journal:  Radiology       Date:  2012-03       Impact factor: 11.105

6.  The ACR BI-RADS experience: learning from history.

Authors:  Elizabeth S Burnside; Edward A Sickles; Lawrence W Bassett; Daniel L Rubin; Carol H Lee; Debra M Ikeda; Ellen B Mendelson; Pamela A Wilcox; Priscilla F Butler; Carl J D'Orsi
Journal:  J Am Coll Radiol       Date:  2009-12       Impact factor: 5.532

7.  Prevalence and importance of small hepatic lesions found at CT in patients with cancer.

Authors:  L H Schwartz; E J Gandras; S M Colangelo; M C Ercolani; D M Panicek
Journal:  Radiology       Date:  1999-01       Impact factor: 11.105

8.  Assessment of follow-up completeness and notification preferences for imaging findings of possible cancer: what happens after radiologists submit their reports?

Authors:  Caroline E Sloan; Seetharam C Chadalavada; Tessa S Cook; Curtis P Langlotz; Mitchell D Schnall; Hanna M Zafar
Journal:  Acad Radiol       Date:  2014-08-30       Impact factor: 3.173

9.  Unsuspected extracolonic findings at screening CT colonography: clinical and economic impact.

Authors:  Perry J Pickhardt; Meghan E Hanson; David J Vanness; Justin Y Lo; David H Kim; Andrew J Taylor; Thomas C Winter; J Louis Hinshaw
Journal:  Radiology       Date:  2008-10       Impact factor: 11.105

10.  The frequency and significance of small (less than or equal to 15 mm) hepatic lesions detected by CT.

Authors:  E C Jones; J L Chezmar; R C Nelson; M E Bernardino
Journal:  AJR Am J Roentgenol       Date:  1992-03       Impact factor: 3.959
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  5 in total

1.  Characterization of Change and Significance for Clinical Findings in Radiology Reports Through Natural Language Processing.

Authors:  Saeed Hassanpour; Graham Bay; Curtis P Langlotz
Journal:  J Digit Imaging       Date:  2017-06       Impact factor: 4.056

2.  Expanding the Scope of an Automated Radiology Recommendation-Tracking Engine: Initial Experiences and Lessons Learned.

Authors:  Mindy Y Licurse; Darco Lalevic; Hanna M Zafar; Mitchell D Schnall; Tessa S Cook
Journal:  J Digit Imaging       Date:  2017-04       Impact factor: 4.056

3.  Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning Classification.

Authors:  Robert Lou; Darco Lalevic; Charles Chambers; Hanna M Zafar; Tessa S Cook
Journal:  J Digit Imaging       Date:  2020-02       Impact factor: 4.056

4.  Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports.

Authors:  Po-Hao Chen; Hanna Zafar; Maya Galperin-Aizenberg; Tessa Cook
Journal:  J Digit Imaging       Date:  2018-04       Impact factor: 4.056

5.  Automatic Fully-Contextualized Recommendation Extraction from Radiology Reports.

Authors:  Jackson Steinkamp; Charles Chambers; Darco Lalevic; Tessa Cook
Journal:  J Digit Imaging       Date:  2021-02-10       Impact factor: 4.056
  5 in total

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