Magnetic resonance imaging -based radiomics of the pituitary gland is highly predictive of precocious puberty in girls: a pilot study

Radiomics is a promising tool to diagnose CPP as it reflects also functional aspects. Further studies are warranted to validate these preliminary data.

Authors

Institutions

Publication Details

Journal
Frontiers in Endocrinology
Published
2025-02-05
DOI
https://doi.org/10.3389/fendo.2025.1496554
Citations
2
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
3.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Magnetic resonance imaging -based radiomics of the pituitary gland is highly predictive of precocious puberty in girls: a pilot study

Susanna Esposito, Marco Masetti, Emanuela Claudia Turco, Margherita Gnocchi et al.
2 citations
Frontiers in Endocrinology
Ovarian cancer diagnosis and treatment
3.40
article

Magnetic resonance imaging -based radiomics of the pituitary gland is highly predictive of precocious puberty in girls: a pilot study

Susanna Esposito, Marco Masetti, Emanuela Claudia Turco, Margherita Gnocchi, Benedetta Piccolo, Maddalena Petraroli, Nicola Sverzellati, M. Maddalo, Viviana Dora Patianna, Francesca Ormitti, C. Ghetti, Maria Elisabeth Street, Eugenia Borgia, Alice Fulgoni
article en
2 citations

Abstract

Radiomics is a promising tool to diagnose CPP as it reflects also functional aspects. Further studies are warranted to validate these preliminary data.

Frontiers in EndocrinologyVol. 16
University of Parma (IT)
Good health and well-being
Openalex Percentile: Top 10%
Ovarian cancer diagnosis and treatment
3.40
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.