Article

<sup>18</sup>F-FDG PET/CT characteristics of IASLC grade 3 invasive adenocarcinoma and the value of<sup>18</sup>F-FDG PET/CT for preoperative prediction

2023-10-05

Abstract excerpt

<h4>Purpose</h4> This study is performed to investigate the imaging characteristics of the International Association for the study of lung cancer (IASLC) grade 3 invasive adenocarcinoma (IAC) on PET/CT and the value of PET/CT for preoperative predicting this tumor. <h4>Materials and Methods</h4> We retrospectively enrolled patients with IAC from August 2015 to September 2022. The clinical characteristics, serum tu...

Topics

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

Identifiers and source

Literature Corpus work: 30281e9f-b2bc-5295-86f8-0971c6bcf0e9
DOI: 10.1101/2023.10.04.23296555

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

<sup>18</sup>F-FDG PET/CT characteristics of IASLC grade 3 invasive adenocarcinoma and the value of<sup>18</sup>F-FDG PET/CT for preoperative predictionDOI 10.1101/2023.10.04.23296555Read

Clinical Value of CTR, CEA, Histological Type, Ki-67 and EGFR in Predicting pN in Clinical Stage IA Lung Adenocarcinoma and Nomogram ConstructionSemantic proximity Read

Multimodal CT Model: Enhancing Lung Cancer STAS Prediction vs. Unimodal CTSemantic proximity Read

PET/CT radiomics and machine learning enable non-invasive survival stratification and histologic tumor risk profiling in patients with lung adenocarcinomaSemantic proximity Read

Development and Validation of A Diagnostic Nomogram Based on PET/CT and Clinical Characteristics: Differentiating mediastinal lymphomas from aggressive thymic epithelial tumorsSemantic proximity Read

Nomogram to predict the EGFR mutation status in stage III-IV solid lung adenocarcinoma patients.Semantic proximity Read

Unexpectedly Benign Pulmonary Nodules Using Machine LearningSemantic proximity Read

DeepPMD: A Comprehensive Deep Learning Framework for Primary-Metastatic Classification and Origin Prediction in Lung Adenocarcinoma – Multi-Center Whole Slide Image ValidationSemantic proximity Read

Radiological Imaging Indicators of Survival in Trachea and Lung Cancers: A Global PerspectiveSemantic proximity Read

SMARCA4/BRG1-deficient non-small cell lung cancer: clinical, imaging, pathological features, and follow-up results of 23 patientsSemantic proximity Read

Development of lung cancer risk prediction models based on F-18 FDG PET imagesSemantic proximity Read

Predicting pathological highly invasive lung cancer from preoperative 18F-FDG PET/CT with multiple machine learning modelsSemantic proximity Read

The value of dynamic FDG PET/CT in the differential diagnosis of lung cancer and predicting EGFR mutationsSemantic proximity Read