Radiomics model based on computed tomography images for prediction of radiation-induced optic neuropathy following radiotherapy of brain and head and neck tumors

We found that combination of radiomic, dosimetric, and clinical factors can predict radiation-induced optic neuropathy after radiation treatment with high accuracy. To acquire more reliable results, it is recommended to conduct visual evoked potential tests before and after radiation therapy, with multiple follow-up courses and more patients.

Authors

Institutions

Publication Details

Journal
Heliyon
Published
2024-12-24
DOI
https://doi.org/10.1016/j.heliyon.2024.e41409
Citations
4
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
1.62

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Radiomics model based on computed tomography images for prediction of radiation-induced optic neuropathy following radiotherapy of brain and head and neck tumors

Mansoureh Nabavi, Marzieh Gomar, Malihe Molaie, Maryam Garousi et al.
4 citations
Heliyon
MRI in cancer diagnosis
1.62
article

Radiomics model based on computed tomography images for prediction of radiation-induced optic neuropathy following radiotherapy of brain and head and neck tumors

Mansoureh Nabavi, Marzieh Gomar, Malihe Molaie, Maryam Garousi, Susan Cheraghi, Pedram Fadavi, Ali Nouraeinejad, Iman Daneshi, Elham Raiesi Nafchi, Sepideh Amiri
article en
4 citations

Abstract

We found that combination of radiomic, dosimetric, and clinical factors can predict radiation-induced optic neuropathy after radiation treatment with high accuracy. To acquire more reliable results, it is recommended to conduct visual evoked potential tests before and after radiation therapy, with multiple follow-up courses and more patients.

HeliyonVol. 11(1)
Iran University of Medical Sciences (IR), University of Tehran (IR), Tehran University of Medical Sciences (IR)
Iran University of Medical Sciences
Good health and well-being
Openalex Percentile: Top 15%
MRI in cancer diagnosis
1.62
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.