Silva Pattern-based Classification
Silva Pattern-Based Classification is a histopathological classification system that categorizes cervical adenocarcinoma based on specific architectural invasion patterns of tumor glands, differing from other histological grading systems by emphasizing stromal invasion morphology to predict patient prognosis.
4
Publications
494
Citations
35
Authors
31
Institutions
Publications per year
2017–2026
4
Variants
Silva ClassificationSilva System
Parents
4
2020 WHO Classification of Female Genital Tumors
Anne Kathrin Höhn, Christine Brambs, Grit Gesine Ruth Hiller et al. · Geburtshilfe und Frauenheilkunde · 2021 · 390 citations · Full text
Isabel Alvarado‐Cabrero, Carlos Parra‐Herran, Simona Stolnicu et al. · International Journal of Gynecological Pathology · 2021 · 60 citations · Full text
1–5 of 4
35
Universitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș, Romania
2 publications · 83 citations
2
h-index
2
h-index
2
h-index
2
h-index
1
h-index
1–5 of 35
31

Universitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș
Târgu Mureş, Romania
2 h-index
7 publications
383 citations

Brigham and Women's Hospital
Boston, United States
2 h-index
7 publications
383 citations
Massachusetts General Hospital
Boston, United States
2 h-index
7 publications
383 citations
University of California San Diego
San Diego, United States
2 h-index
7 publications
383 citations
Peking University Third Hospital
Beijing, China
1 h-index
4 publications
84 citations
University Hospital Leipzig
Leipzig, Germany
1 h-index
3 publications
1.2K citations
Mexican Social Security Institute
Mexico City, Mexico
1 h-index
6 publications
360 citations
The University of Texas MD Anderson Cancer Center
Houston, United States
1 h-index
6 publications
360 citations
1–8 of 31
1 publications · 60 citations
1
h-index
1 publications · 21 citations
1
h-index
1 publications · 23 citations
1
h-index
1 publications · 390 citations
1
h-index
1 publications · 10 citations
1–5