Gallium68-Labeled Fibroblast Activation Protein Inhibitor (68Ga-FAPI) PET/CT as an Alternative to Fluoro18-Fluorodeoxyglucose (18F-FDG) PET/CT: Discussion in a Case of Metastatic Adenocarcinoma of Pancreas DOI Open Access
Abhishek Kumar,

Bhola Kumar,

Amitabh Kumar Upadhyay

et al.

Cureus, Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 8, 2023

Positron emission tomography (PET) is an integral part of the imaging solid tumors in today's oncology practice. The most commonly used PET radiotracer 18F-Fluorodeoxyglucose (18F-FDG). FDG has characteristics a high tumor-to-background uptake ratio and detection primary as well metastatic sites. However, significant pitfall its inability to differentiate between neoplastic infective lesions. To address this concern, many radiotracers have been developed tried over time, promising one being radiolabelled fibroblast activation protein inhibitor (FAPI). Fibroblast-activated (FAP) type II transmembrane glycoprotein expressed by cancer-associated fibroblasts (CAFs); it forms component tumor stroma. Since there over-expression CAF majority malignancies, potential target for molecular using PET. Several radiolabeled FAP inhibitors malignancies also theranostic applications.

Language: Английский

Data set terminology of deep learning in medicine: a historical review and recommendation DOI
Shannon L. Walston,

Hiroshi Seki,

Hirotaka Takita

et al.

Japanese Journal of Radiology, Journal Year: 2024, Volume and Issue: 42(10), P. 1100 - 1109

Published: June 10, 2024

Language: Английский

Citations

6
[68Ga]Ga-FAPI PET/CT in brain tumors: comparison with [18F]F-FDG PET/CT DOI Creative Commons
Ya Liu,

Haoyuan Ding,

Jianpeng Cao

et al.

Frontiers in Oncology, Journal Year: 2024, Volume and Issue: 14

Published: Sept. 6, 2024

To investigate the feasibility of [

Language: Английский

Citations

6
Generative AI and large language models in nuclear medicine: current status and future prospects DOI Creative Commons
Kenji Hirata, Yusuke Matsui, Akira Yamada

et al.

Annals of Nuclear Medicine, Journal Year: 2024, Volume and Issue: 38(11), P. 853 - 864

Published: Sept. 25, 2024

Language: Английский

Citations

6
Applications of artificial intelligence in interventional oncology: An up-to-date review of the literature DOI Creative Commons
Yusuke Matsui, Daiju Ueda, Shohei Fujita

et al.

Japanese Journal of Radiology, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 2, 2024

Abstract Interventional oncology provides image-guided therapies, including transarterial tumor embolization and percutaneous ablation, for malignant tumors in a minimally invasive manner. As other medical fields, the application of artificial intelligence (AI) interventional has garnered significant attention. This narrative review describes current state AI applications based on recent literature. A literature search revealed rapid increase number studies relevant to this topic recently. Investigators have attempted use various tasks, automatic segmentation organs, tumors, treatment areas; simulation; improvement intraprocedural image quality; prediction outcomes; detection post-treatment recurrence. Among these, AI-based outcomes been most studied. Various deep conventional machine learning algorithms proposed these tasks. Radiomics often incorporated into models. Current suggests that is potentially useful aspects oncology, from planning follow-up. However, methods discussed are still at research stage, few implemented clinical practice. To achieve widespread adoption technologies procedures, further their reliability utility necessary. Nevertheless, considering progress field, will be integrated practices near future.

Language: Английский

Citations

6
Recent trends in AI applications for pelvic MRI: a comprehensive review DOI
Takahiro Tsuboyama, Masahiro Yanagawa, Tomoyuki Fujioka

et al.

La radiologia medica, Journal Year: 2024, Volume and Issue: 129(9), P. 1275 - 1287

Published: Aug. 3, 2024

Language: Английский

Citations

5
JJR-TOP GUN Phase 1, Year 2: new perspectives through the integration of artificial intelligence and radiology DOI Creative Commons
Koji Kamagata, Shinji Naganawa

Japanese Journal of Radiology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 25, 2025

Language: Английский

Citations

0
Advancing clinical MRI exams with artificial intelligence: Japan’s contributions and future prospects DOI Creative Commons
Shohei Fujita, Yasutaka Fushimi, Rintaro Ito

et al.

Japanese Journal of Radiology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 16, 2024

Abstract In this narrative review, we review the applications of artificial intelligence (AI) into clinical magnetic resonance imaging (MRI) exams, with a particular focus on Japan’s contributions to field. first part introduce various AI in optimizing different aspects MRI process, including scan protocols, patient preparation, image acquisition, reconstruction, and postprocessing techniques. Additionally, examine AI’s growing influence decision-making, particularly areas such as segmentation, radiation therapy planning, reporting assistance. By emphasizing studies conducted Japan, highlight nation’s advancement MRI. latter characteristics that make Japan unique environment for development implementation examinations. healthcare landscape is distinguished by several key factors collectively create fertile ground research development. Notably, boasts one highest densities scanners per capita globally, ensuring widespread access exam. national health insurance system plays pivotal role providing scans all citizens irrespective socioeconomic status, which facilitates collection inclusive unbiased data across diverse population. extensive screening programs, coupled collaborative initiatives like Medical Imaging Database (J-MID), enable aggregation sharing large, high-quality datasets. With its technological expertise infrastructure, well-positioned meaningful MRI–AI domain. The efforts researchers, clinicians, technology experts, those will continue advance future MRI, potentially leading improvements care efficiency.

Language: Английский

Citations

3
Overview of Target-Oriented Project Group United for Nippon (TOP GUN): fostering interdisciplinary collaboration among young researchers in radiology on timely topics DOI Creative Commons
Koji Kamagata, Shinji Naganawa

Japanese Journal of Radiology, Journal Year: 2024, Volume and Issue: 42(9), P. 935 - 936

Published: May 23, 2024

Language: Английский

Citations

2
The Value of Machine Learning-based Radiomics Model Characterized by PET Imaging with 68Ga-FAPI in Assessing Microvascular Invasion of Hepatocellular Carcinoma DOI Creative Commons

Rongqin Fan,

Xueqin Long, Xiaoliang Chen

et al.

Academic Radiology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

1
Stereotactic arrhythmia radioablation for ventricular tachycardia: a review of clinical trials and emerging roles of imaging DOI Creative Commons

Mariko Kawamura,

Masafumi Shimojo,

Fuminari Tatsugami

et al.

Journal of Radiation Research, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 5, 2024

Ventricular tachycardia (VT) is a severe arrhythmia commonly treated with implantable cardioverter defibrillators, antiarrhythmic drugs and catheter ablation (CA). Although CA effective in reducing recurrent VT, its impact on survival remains uncertain, especially patients extensive scarring. Stereotactic radioablation (STAR) has emerged as novel treatment for VT unresponsive to CA, leveraging techniques from stereotactic body radiation therapy used cancer treatments. Recent clinical trials case series have demonstrated the short-term efficacy safety of STAR, although long-term outcomes remain unclear. Imaging techniques, such electroanatomical mapping, contrast-enhanced magnetic resonance imaging nuclear imaging, play crucial role planning by identifying substrates guiding target delineation. However, challenges persist owing complex anatomy variability volume definitions. Advances artificial intelligence are expected improve precision STAR. The exact mechanisms underlying effects including potential fibrosis improvement cardiac conduction, still being explored. Despite potential, STAR should be cautiously applied prospective trials, focus optimizing dose delivery understanding outcomes. Collaborative efforts necessary standardize strategies enhance quality life refractory VT.

Language: Английский

Citations

1