Literature DB >> 15685389

The utility of digital clinical photographs in dermatopathology.

Anneli Fogelberg1, Michael Ioffreda, Klaus F Helm.   

Abstract

BACKGROUND AND
OBJECTIVE: Technological improvements have helped digital cameras become widely available and inexpensive. Dermatopathologic diagnosis is often aided by clinical information. The purpose of this study was to determine whether submitting a digital image along with a skin biopsy provides additional helpful information to the dermatopathologist.
METHODS: Digital pictures were taken of the lesion being biopsied and were submitted along with routine paper work to the dermatopathologists. The dermatopathologists interpreted the skin biopsy as usual without viewing the digital image, and then later viewed the submitted picture. The dermatopathologists evaluated the help provided by the image.
RESULTS: A clinical digital image was helpful in confirming the initial diagnosis and narrowing down the differential diagnosis (p < 0.001). Including pictures did not change the diagnosis, result in an increase in the differential diagnosis, or result in fewer or additional step sections being performed. Digital imaging of inflammatory disorders was felt to be good help in 43% of the biopsies and narrowed down the differential diagnosis in 31%.
CONCLUSION: In certain cases the inclusion of a digital image may help a dermatopathologist. Digital imaging was found to be most helpful in evaluation of inflammatory disorders.

Entities:  

Mesh:

Year:  2004        PMID: 15685389     DOI: 10.1007/s10227-004-0104-x

Source DB:  PubMed          Journal:  J Cutan Med Surg        ISSN: 1203-4754            Impact factor:   2.092


  3 in total

1.  Enterprise imaging and multi-departmental PACS.

Authors:  Björn Bergh
Journal:  Eur Radiol       Date:  2006-08-16       Impact factor: 5.315

2.  Augmenting multi-instance multilabel learning with sparse bayesian models for skin biopsy image analysis.

Authors:  Gang Zhang; Jian Yin; Xiangyang Su; Yongjing Huang; Yingrong Lao; Zhaohui Liang; Shanxing Ou; Honglai Zhang
Journal:  Biomed Res Int       Date:  2014-04-07       Impact factor: 3.411

3.  Automated skin biopsy histopathological image annotation using multi-instance representation and learning.

Authors:  Gang Zhang; Jian Yin; Ziping Li; Xiangyang Su; Guozheng Li; Honglai Zhang
Journal:  BMC Med Genomics       Date:  2013-11-11       Impact factor: 3.063

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.