Back to search

Article

SUVmax of FDG PET-CT Can Be Used As An Identifier of Lesion for AI To Interpret Radiology Reports

2020-08-24

Abstract excerpt

<title>Abstract</title> <p><bold><italic>Background </italic></bold>Radiology reports contribute not only to the particular patient, but also to constructing massive training dataset in the era of artificial intelligence (AI). The maximum standardized uptake value (SUVmax) is often described in daily radiology reports of FDG PET-CT. If SUVmax can be used as an identifier of lesion, that would greatly help AI inte...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
68662a11-9997-5444-ad5a-d5184ca87acc
DOI
10.21203/rs.3.rs-61799/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
SUVmax of FDG PET-CT Can Be Used As An Identifier of Lesion for AI To Interpret Radiology ReportsDOI 10.21203/rs.3.rs-61799/v1
How many digits after decimal point are needed to use SUVmax as an identifier of tumors on FDG PET-CT?Semantic proximity
How many digits after decimal point are needed to use SUVmax as an identifier of tumors on FDG PET-CT?Semantic proximity
Diagnostic Value of PET/CT and Maximum Standardized Uptake Value in Patients with Primary LymphomaSemantic proximity
The effects of volume of interest delineation on MRI-based radiomics analysis: evaluation with two disease groupsSemantic proximity
Differences in Suvmax Spect/ct Bone Scan Between Bone Metastatic Lesions and Non-metastatic Lesions in Breast Cancer PatientsSemantic proximity
The value of dynamic FDG PET/CT in the differential diagnosis of lung cancer and predicting EGFR mutationsSemantic proximity
Machine Learning-Based Radiomics Model to Predict Benign and Malignant PI-RADS v2.1 Category 3 lesions : A Retrospective Multi-center StudySemantic proximity
Impact of ROIs Delineation Strategies on the Performance of Artificial Intelligence-Aided COVID-19 Screening AlgorithmsSemantic proximity
MAGIC-CT: Multiorgan Annotation and Grounded Image Captioning in CT for CancerSemantic proximity
Development and Validation of A Diagnostic Nomogram Based on PET/CT and Clinical Characteristics: Differentiating mediastinal lymphomas from aggressive thymic epithelial tumorsSemantic proximity
Fully automated segmentation of [18F]FDG- and PSMA-PET/CT images via data-centric Deep-Learning.Semantic proximity
Fully automated segmentation of [18F]FDG- and PSMA-PET/CT images via data-centric Deep-Learning.Semantic proximity
Select a neighboring publication to make it the new centre.