Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

FDG-PET/MRI with high-resolution DWI characterises the distinct phenotypes of endometrial cancer.

Clinical radiology - 1 Mar 2020

Tsuyoshi H, Tsujikawa T, Yamada S, Chino Y, Shinagawa A, Kurokawa T, Okazawa H, Yoshida Y

Abstract excerpt

AIM: To evaluate the capability of integrated 2-[18F]-fluoro-2-deoxy-d-glucose (FDG)-positron-emission tomography (PET)/magnetic resonance imaging (MRI) to characterise the distinct phenotypes of endometrial cancer. MATERIALS AND METHODS: Thirty-one patients with endometrial cancer (23 with type I, including 17 G1 and six G2 endometrioid adenocarcinomas, and eight with type II, including three G3 endometrioid...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Diffusion Magnetic Resonance Imaging
Share to Endometrial Neoplasms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Fluorodeoxyglucose F18

Share to Multimodal Imaging

Share to Neoplasm Grading

Share to Phenotype

Share to Positron-Emission Tomography

Share to Radiopharmaceuticals

Source

Identifiers

PMID: 31785782
DOI: 10.1016/j.crad.2019.10.018

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

FDG-PET/MRI with high-resolution DWI characterises the distinct phenotypes of endometrial cancer.PMID 31785782Read ↗

MRI- and Histologic-Molecular-Based Radio-Genomics Nomogram for Preoperative Assessment of Risk Classes in Endometrial CancerSemantic proximity Read ↗

Determination of p53abn endometrial cancer: a multitask analysis using radiological-clinical nomogram on MRI.Semantic proximity Read ↗

MRI-based deep learning model for differentiating endometrial cancer from atypical endometrial hyperplasia: A Multicenter StudySemantic proximity Read ↗

Retrospective analysis of the 18F-FDG PET/CT cutoff value for metabolic parameters was performed as a prediction model to evaluate risk factors for endometrial cancer.Semantic proximity Read ↗

Abbreviated T2w-Only Pelvic MRI for Locoregional Staging of Cervical Cancer: A Pragmatic Approach for Time-Critical and Resource-Limited SettingsSemantic proximity Read ↗

Diagnostic performance of diffusion-weighted magnetic resonance imaging in bladder cancer: potential utility of apparent diffusion coefficient values as a biomarker to predict clinical aggressiveness.Semantic proximity Read ↗

Potentialities of multi-b-values diffusion-weighted imaging for predicting efficacy of concurrent chemoradiotherapy in cervical cancer patientsSemantic proximity Read ↗

Prognostic model based on magnetic resonance imaging, whole-tumour apparent diffusion coefficient values and HPV genotyping for stage IB-IV cervical cancer patients following chemoradiotherapy.Semantic proximity Read ↗

PET/MR in invasive ductal breast cancer: correlation between imaging markers and histological phenotype.Semantic proximity Read ↗

Comparing Characteristics of Pelvic High-grade Serous Carcinomas with and without Breast Cancer Gene Variants on MR Imaging.Semantic proximity Read ↗

Could IVIM and ADC help in predicting the KRAS status in patients with rectal cancer?Semantic proximity Read ↗

The dynamic contrast-enhanced MR imaging of breast cancer: the correlation between mono-exponential DWI parameters and semi-quantitative TIC characteristicsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.