Clinical application of AI-based PET images in oncological patients

Dai, Jiaona; Wang, Hui; Xu, Yun Hua; Chen, Xiyang; Tian, Rong

doi:10.1016/j.semcancer.2023.03.005

Cited by 13 publications

(6 citation statements)

References 234 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…AI is gaining broad interest for medical interpretation in areas as diverse as nuclear medicine imaging, echocardiography, ultrasonography, retinal imaging, dermatology, and histopathology 144 – 153 . AI provides information collection, integration, analysis, and interpretation capabilities that are many orders of magnitude greater than the human brain.…”

Section: Increasing Use Of Artificial Intelligence (Ai) In Urgsmentioning

confidence: 99%

Rapid genomic sequencing for genetic disease diagnosis and therapy in intensive care units: a review

Kingsmore,

Nofsinger,

Ellsworth

2024

npj Genom. Med.

View full text Add to dashboard Cite

Single locus (Mendelian) diseases are a leading cause of childhood hospitalization, intensive care unit (ICU) admission, mortality, and healthcare cost. Rapid genome sequencing (RGS), ultra-rapid genome sequencing (URGS), and rapid exome sequencing (RES) are diagnostic tests for genetic diseases for ICU patients. In 44 studies of children in ICUs with diseases of unknown etiology, 37% received a genetic diagnosis, 26% had consequent changes in management, and net healthcare costs were reduced by $14,265 per child tested by URGS, RGS, or RES. URGS outperformed RGS and RES with faster time to diagnosis, and higher rate of diagnosis and clinical utility. Diagnostic and clinical outcomes will improve as methods evolve, costs decrease, and testing is implemented within precision medicine delivery systems attuned to ICU needs. URGS, RGS, and RES are currently performed in <5% of the ~200,000 children likely to benefit annually due to lack of payor coverage, inadequate reimbursement, hospital policies, hospitalist unfamiliarity, under-recognition of possible genetic diseases, and current formatting as tests rather than as a rapid precision medicine delivery system. The gap between actual and optimal outcomes in children in ICUs is currently increasing since expanded use of URGS, RGS, and RES lags growth in those likely to benefit through new therapies. There is sufficient evidence to conclude that URGS, RGS, or RES should be considered in all children with diseases of uncertain etiology at ICU admission. Minimally, diagnostic URGS, RGS, or RES should be ordered early during admissions of critically ill infants and children with suspected genetic diseases.

show abstract

Section: Increasing Use Of Artificial Intelligence (Ai) In Urgsmentioning

confidence: 99%

Rapid genomic sequencing for genetic disease diagnosis and therapy in intensive care units: a review

Kingsmore,

Nofsinger,

Ellsworth

2024

npj Genom. Med.

View full text Add to dashboard Cite

show abstract

“…This imaging technique is currently the only anatomical and morphological imaging technique for functional, metabolic, and receptor imaging, which is non‐invasive and can provide 3D and functional images of the whole body. [ 161 ] Consequently, PET imaging is both a scientific research tool and a medical diagnostic tool and has a large number of applications in oncology clinical medical imaging and cancer proliferation research. [ 162,163 ] The high value of PET in detecting tumors and identifying any areas of metastasis enables monitoring of the effectiveness of radiation or chemotherapy treatments by measuring the reduction in metabolic or tumor volume.…”

Section: Single Energy Transformation For Cancer Imaging‐guided Therapymentioning

confidence: 99%

Remote Control of Energy Transformation‐Based Cancer Imaging and Therapy

Xu,

Kim,

Zhao

et al. 2024

Advanced Materials

View full text Add to dashboard Cite

Cancer treatment requires precise tumor‐specific targeting at specific sites that allows for high‐resolution diagnostic imaging and long‐term patient‐tailorable cancer therapy while minimizing side effects largely arising from non‐targetability. This can be realized by harnessing exogenous remote stimuli, such as tissue‐penetrative ultrasound, magnetic field, light, and radiation, that enable local activation for cancer imaging and therapy in deep tumors. A myriad of nanomedicines can be efficiently activated when the energy of such remote stimuli can be transformed into another type of energy. This review discusses the remote control of energy transformation for targetable, efficient, and long‐term cancer imaging and therapy. Such ultrasonic, magnetic, photonic, radiative, and radioactive energy can be transformed into mechanical, thermal, chemical, and radiative energy to enable a variety of cancer imaging and treatment modalities. The current review article describes multimodal energy transformation where a serial cascade or multiple types of energy transformation occur. This review includes not only mechanical, chemical, hyperthermia, and radiation therapy but also emerging thermoelectric, pyroelectric, and piezoelectric therapies for cancer treatment. It also illustrates ultrasound, magnetic resonance, fluorescence, computed tomography, photoluminescence, and photoacoustic imaging‐guided cancer therapies. It highlights afterglow imaging that can eliminate autofluorescence for sustained signal emission after the excitation.This article is protected by copyright. All rights reserved

show abstract

“…Ligands are proteins that bind to other biomolecules to transmit signals, while receptors are biological molecules that interact with ligands (Armingol, et al, 2021). Binding of ligands to receptors on recipient cell membranes triggers the activation of transcription factors and their target genes within the cell (Ramilowski, et al, 2015; Wang, Almet and Nie, 2023). In this manner, cell-cell communication orchestrates processes such as cell proliferation, migration, differentiation, and death, thereby achieving tissue-wide coordination, ultimately resulting in the emergence of complex functionality in cellular organisms.…”

Section: Introductionmentioning

confidence: 99%

“…Subsequently, communication scores (i.e., interaction strengths) of ligand-receptor pairs are computed. These scores are further utilized to estimate the communication status between cells along each pathway (Peng, et al, 2022; Wang, Almet and Nie, 2023). For example, CellTalker (Cillo, et al, 2020) uses ligands and receptors that exhibit non-zero expression in a predefined proportion of cells.…”

Section: Introductionmentioning

confidence: 99%

collectNET: a web server for integrated inference of cell-cell communication network

Pan,

Gao,

Cui

et al. 2024

Preprint

View full text Add to dashboard Cite

SummaryCell-cell communication through ligand-receptor pairs forms the cornerstone for complex functionalities in multicellular organisms. Deciphering such intercellular signaling can contribute to un-raveling disease mechanisms and enables targeted therapy. Nonetheless, notable biases and inconsistencies are evident among the inferential outcomes generated by current methods for inferring cell-cell communication network. To fill this gap, we developed collectNET (http://health.tsing-hua.edu.cn/collectnet) as the first web server for efficiently inferring the cell-cell communication network, with efficient calculation, hierarchical browsing, comprehensive statistics, advanced searching, and intuitive visualization. collectNET provides a reliable online inference service with prior knowledge of three public ligand-receptor databases and systematic integration of three mainstream inference methods. Additionally, collectNET has assembled a human cell-cell communication atlas, including 126,785 significant communication pairs based on 343,023 single cells. We anticipate that collectNET will benefit researchers in gaining a more holistic understanding of cell development and differentiation mechanisms.Availability and ImplementationcollectNET is freely available athttp://health.tsinghua.edu.cn/collectnet.Contactruijiang@tsinghua.edu.cnSupplementary informationSupplementary data are available atBioinformaticsonline.

show abstract

Clinical application of AI-based PET images in oncological patients

Cited by 13 publications

References 234 publications

Rapid genomic sequencing for genetic disease diagnosis and therapy in intensive care units: a review

Rapid genomic sequencing for genetic disease diagnosis and therapy in intensive care units: a review

Remote Control of Energy Transformation‐Based Cancer Imaging and Therapy

collectNET: a web server for integrated inference of cell-cell communication network

Contact Info

Product

Resources

About