Literature DB >> 19005771

Providing an intelligible explanation to pet owners by using three-dimensional CT images: use of clinical imaging for better informed consent.

Miori Kishimoto1, Kazutaka Yamada, Junichiro Shimizu, Ki-Ja Lee, Hirokazu Watarai, Hany Y Hassan, Toshiroh Iwasaki, Yoh-Ichi Miyake.   

Abstract

The purpose of the study reported here was to discuss the level of intelligibility of three-dimensional computed tomography (3D-CT) images of clinical patients for persons who are lacking veterinary knowledge. 143 undergraduate students were participated in this study. They were entirely unfamiliar with veterinary anatomy. A survey was conducted using the visual analog scale method with a focus on the level of intelligibility of the 3D-CT images compared to that of the two-dimensional CT images or radiographs. As a result, the mean value of the intelligibility of the 3D-CT image was 88.4 +/- 17.8 points out of 100 points. In clinical cases, it is very difficult for pet owners lacking veterinary knowledge to understand the clinical status of their pets even with explanations using illustrations, radiographs, and transverse CT images. It is considered that better informed consent and patient satisfaction will be obtained provided veterinarians make an effort towards intelligible patient education by using 3D-CT images.

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Mesh:

Year:  2008        PMID: 19005771     DOI: 10.1007/s11259-008-9184-1

Source DB:  PubMed          Journal:  Vet Res Commun        ISSN: 0165-7380            Impact factor:   2.459


  7 in total

1.  Breast MRI lesion classification: improved performance of human readers with a backpropagation neural network computer-aided diagnosis (CAD) system.

Authors:  Lina Arbash Meinel; Alan H Stolpen; Kevin S Berbaum; Laurie L Fajardo; Joseph M Reinhardt
Journal:  J Magn Reson Imaging       Date:  2007-01       Impact factor: 4.813

2.  The use of multi-detector row computed tomography (MDCT) as an alternative to specimen preparation for anatomical instruction.

Authors:  Kazutaka Yamada; Tokunori Taniura; Shigeyuki Tanabe; Miho Yamaguchi; Shogo Azemoto; Erik R Wisner
Journal:  J Vet Med Educ       Date:  2007       Impact factor: 1.027

Review 3.  Reader variability: what we can learn from computer-aided detection experiments.

Authors:  Matthew Freedman; Teresa Osicka
Journal:  J Am Coll Radiol       Date:  2006-06       Impact factor: 5.532

4.  Virtual endoscopy of dogs using multi-detector row CT.

Authors:  Kazutaka Yamada; Manabu Morimoto; Miori Kishimoto; Erik R Wisner
Journal:  Vet Radiol Ultrasound       Date:  2007 Jul-Aug       Impact factor: 1.363

5.  Visual analogue scales: measurement of subjective phenomena.

Authors:  A G Gift
Journal:  Nurs Res       Date:  1989 Sep-Oct       Impact factor: 2.381

6.  Computer-aided detection (CAD) in mammography: does it help the junior or the senior radiologist?

Authors:  Corinne Balleyguier; Karen Kinkel; Jacques Fermanian; Sebastien Malan; Germaine Djen; Patrice Taourel; Olivier Helenon
Journal:  Eur J Radiol       Date:  2005-04       Impact factor: 3.528

7.  The acceptance of computer assisted learning by medical students.

Authors:  M H Khadra; A I Guinea; D A Hill
Journal:  Aust N Z J Surg       Date:  1995-08
  7 in total

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