“Enhancing Liposarcoma Prognosis – A New Predictive Scoring System Integrating Histopathological Insights”

This study focuses on developing a new scoring system that considers histologic subtype, mitotic index, and tumour necrosis as indicators that could predict the risk of disease progression and overall survival in patients with liposarcoma. The system classifies liposarcomas of any histological subtype into low-risk and high-risk tumours. Diagnosing liposarcomas using this two-tiered system could be useful for providing personalized therapy, in order to avoid relapses, metastases and improve the disease's prognosis.

Authors

Institutions

Publication Details

Journal
Cancer Management and Research
Published
2025-02-01
DOI
https://doi.org/10.2147/cmar.s504889
Citations
2
Primary Topic
Sarcoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
3.04
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

“Enhancing Liposarcoma Prognosis – A New Predictive Scoring System Integrating Histopathological Insights”

Ana-Maria Ciongariu, Valentin Enache, Mariana Costache, Adrian Dumitru et al.
2 citations
Cancer Management and Research
Sarcoma Diagnosis and Treatment
3.04
article

“Enhancing Liposarcoma Prognosis – A New Predictive Scoring System Integrating Histopathological Insights”

Ana-Maria Ciongariu, Valentin Enache, Mariana Costache, Adrian Dumitru, Cosmin-Antoniu Creanga, Andrei Marin, Dana Antonia Țăpoi
article en
2 citations

Abstract

This study focuses on developing a new scoring system that considers histologic subtype, mitotic index, and tumour necrosis as indicators that could predict the risk of disease progression and overall survival in patients with liposarcoma. The system classifies liposarcomas of any histological subtype into low-risk and high-risk tumours. Diagnosing liposarcomas using this two-tiered system could be useful for providing personalized therapy, in order to avoid relapses, metastases and improve the disease's prognosis.

Cancer Management and ResearchVol. Volume 17
Carol Davila University of Medicine and Pharmacy (RO), Clinical Emergency Hospital Bucharest (RO), Emergency University (US)
Openalex Percentile: Top 11%
Sarcoma Diagnosis and Treatment
3.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

“Enhancing Liposarcoma Prognosis – A New Predictive Scoring System Integrating Histopathological Insights” — Ana-Maria Ciongariu, Valentin Enache, et al. · Cancer Management and Research (2025) | TGRS Research Map | TGRS