Literature DB >> 12877773

The accuracy of telediagnosis of frozen sections is inferior to that of conventional diagnosis of frozen sections and paraffin-embedded sections.

Patrizia L Moser1, Ingo H Lorenz, Peter Sögner, Sylvia Stadlmann, Gregor Mikuz, Christian Kolbitsch.   

Abstract

The accuracy of telepathology diagnosis and conventional diagnosis of frozen sections was compared, using the diagnosis established on paraffin-embedded tissue as a reference. Out of a total of 270 cases, remote frozen-section diagnosis was correct in 227 cases (84.1%) and incorrect in 23 cases (8.5%). The latter comprised 12 false positive diagnoses of malignancy (4.4%) and 11 false negative diagnoses (4.1%). A diagnosis was not possible in 20 cases (7.4%). In contrast, the conventional frozen-section diagnosis was correct in 269 cases (99.6%) and incorrect in 1 case (0.4%), the latter being a false negative diagnosis. The average time needed to make a remote diagnosis was 14.2 min (SD 9). Manual examination was not found to be essential for remote frozen-section diagnosis. Overall slide quality was rated as 'satisfactory' to 'fair' by the six pathologists concerned. An improvement in the quality of slides is necessary to guarantee an acceptable level of accuracy of remote frozen-section diagnosis; a shortening of the time needed for diagnosis is a further requirement for the successful implementation of a routine telepathology frozen-section service.

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Year:  2003        PMID: 12877773     DOI: 10.1258/135763303767149915

Source DB:  PubMed          Journal:  J Telemed Telecare        ISSN: 1357-633X            Impact factor:   6.184


  2 in total

1.  Systematic Review of the Use of Telepathology During Intraoperative Consultation.

Authors:  Robin L Dietz; Douglas J Hartman; Liron Pantanowitz
Journal:  Am J Clin Pathol       Date:  2020-01-02       Impact factor: 2.493

2.  Telepathology consultation for frozen section diagnosis in China.

Authors:  Yingxin Huang; Yan Lei; Qi Wang; Dazhou Li; Lili Ma; Lili Guo; Minshan Tang; Guanglong Liu; Qianwen Yan; Lan Shen; Guihui Tong; Zhiliang Jing; Yan Zhang; Yongjian Deng
Journal:  Diagn Pathol       Date:  2018-05-14       Impact factor: 2.644

  2 in total

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