Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Biological behavior of CIN lesions is predictable by multiple parameter logistic regression models.

Carcinogenesis - 1 Apr 2008

van Hamont D, Bulten J, Shirango H, Melchers W J G, Massuger L F A G, de Wilde P C M

Abstract excerpt

OBJECTIVES: Progression and regression of premalignant cervical lesions cannot be predicted using conventional cytomorphological or histomorphological parameters. However, markers such as human papillomavirus (HPV) or makers indicating proliferation, genetic instability and chromosomal aberration...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Colposcopy
Share to Follow-Up Studies
Share to In Situ Hybridization

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Models, Statistical

Share to Papillomaviridae

Share to Regression Analysis

Share to Uterine Cervical Dysplasia

Share to Vaginal Smears

Source

Identifiers

PMID: 18310095
DOI: 10.1093/carcin/bgm287

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-18310095-2026-09-02.2. Manifest publication-graph-cohort-2026-09-02.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 11 closest

Biological behavior of CIN lesions is predictable by multiple parameter logistic regression models.PMID 18310095Read ↗

Progression of cervical low grade squamous intraepithelial lesions: in search of prognostic biomarkers.Semantic proximity Read ↗

Predictive value of phenotypic cytologic characteristics in early dysplastic cervical lesions.Semantic proximity Read ↗

Human papillomavirus L1 capsid protein and human papillomavirus type 16 as prognostic markers in cervical intraepithelial neoplasia 1.Semantic proximity Read ↗

Predictors for regression and progression of actively surveilled cervical intraepithelial neoplasia grade 2: A prospective cohort study.Semantic proximity Read ↗

Analysis of performance characteristics of five cell cycle-related immunohistochemical markers and human papillomavirus genotyping in the diagnosis of cervical squamous cell carcinoma precursor lesions.Semantic proximity Read ↗

The predictive value of human papillomavirus testing for the outcome of patients conservatively treated for stage IA squamous cell cervical carcinoma.Semantic proximity Read ↗

The impact of epithelial biomarkers, local immune response and human papillomavirus genotype in the regression of cervical intraepithelial neoplasia grades 2-3.Semantic proximity Read ↗

Tobacco smoking and regression of low-grade cervical abnormalities.Semantic proximity Read ↗

Cervical smears in assessment of the natural history of human papillomavirus infections in prospectively followed women.Semantic proximity Read ↗

Cell abnormalities associated with human papillomavirus-induced squamous intraepithelial cervical lesions. Multivariate data analysis.Semantic proximity Read ↗

Regression of low-grade cervical intraepithelial neoplasia in patients with HLA-DRB1*13 genotype.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.