Evidence map›Paper›PMID 24532500›Full record

ArticleYonsei medical journal2014

Diagnostic algorithm to reflect regressive changes of human papilloma virus in tissue biopsies.

Min Jin Lhee, Youn Jin Cha, Jong Man Bae, Young Tae Kim, Nam Hoon Cho

Erratum issuedAbstract read
In one paragraph

Article in Yonsei medical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Min Jin LheeDepartment of Pathology, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 120-752, Korea. cho1988@yuhs.ac.
Youn Jin Cha
Jong Man Bae
Young Tae Kim
Nam Hoon Cho

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLandmark indicators have not yet to be developed to detect the regression of cervical intraepithelial neoplasia (CIN). We propose that quantitative viral load and indicative histological criteria can be used to differentiate between atypical squamous cells of undetermined significance (ASCUS) and a CIN of grade 1. MATERIALS AND

methodsWe collected 115 tissue biopsies from women who tested positive for the human papilloma virus (HPV). Nine morphological parameters including nuclear size, perinuclear halo, hyperchromasia, typical koilocyte (TK), abortive koilocyte (AK), bi-/multi-nucleation, keratohyaline granules, inflammation, and dyskeratosis were examined for each case. Correlation analyses, cumulative logistic regression, and binary logistic regression were used to determine optimal cut-off values of HPV copy numbers. The parameters TK, perinuclear halo, multi-nucleation, and nuclear size were significantly correlated quantitatively to HPV copy number.

resultsAn HPV loading number of 58.9 and AK number of 20 were optimal to discriminate between negative and subtle findings in biopsies. An HPV loading number of 271.49 and AK of 20 were optimal for discriminating between equivocal changes and obvious koilocytosis.

conclusionWe propose that a squamous epithelial lesion with AK of >20 and quantitative HPV copy number between 58.9-271.49 represents a new spectrum of subtle pathological findings, characterized by AK in ASCUS. This can be described as a distinct entity and called "regressing koilocytosis".

Indexed as

AlgorithmsAdultBiopsyCarcinoma, Squamous CellDiagnosis, Computer-AssistedFemaleHumansLogistic ModelsMiddle AgedPapillomaviridaePapillomavirus InfectionsUterine Cervical DysplasiaViral LoadYoung AdultASCUSCINHPVloading concentrationregressing koilocytosis

Identifiers

PMID24532500
PMCPMC3936611

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