2023
DOI: 10.1101/2023.09.22.23294942
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Radiomic-Based Prediction of Lesion-Specific Systemic Treatment Response in Metastatic Disease

Caryn Geady,
Farnoosh Abbas-Aghababazadeh,
Andres Kohan
et al.

Abstract: Despite sharing the same histologic classification, individual tumors in multi metastatic patients may present with different characteristics and varying sensitivities to anticancer therapies. In this study, we investigate the utility of radiomic biomarkers for prediction of lesion-specific treatment resistance in multi metastatic leiomyosarcoma patients. Using a dataset of n=202 lung metastases (LM) from n=80 patients with 1648 pre-treatment computed tomography (CT) radiomics features and LM progression deter… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 53 publications
(63 reference statements)
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?