Assessment of Total-Body Atherosclerosis by PET/Computed Tomography

Høilund‐Carlsen, Poul Flemming; Piri, Reza; Gerke, Oke; Edenbrandt, Lars; Alavi, Abass

doi:10.1016/j.cpet.2020.09.013

Cited by 17 publications

(13 citation statements)

References 79 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[ 18 , 19 ] Microvascular dysfunction can be evaluated by PET and CMR. [12] Hybrid imaging includes: PET/CT and PET/MRI: Assesses perfusion, cardiac viability, and atherosclerosis [ 20 , 21 ] CT- Fractional Flow Reserve (FFR): Provides anatomic (i.e. luminal and plaque) and physiologic/functional imaging data to assess obstructive CAD [ 22 , 23 ] Cardiac catheterization and FFR: Provides (invasive) anatomic and functional assessment of CAD [24] CAC added to SPECT or PET may help further identify coronary artery plaque and better stratify risk [ 25 , 26 ] CCTA added to CAC scoring may help improve the assessment of total plaque burden and better discriminate risk of death and/or myocardial infarction among symptomatic patients with suspected coronary artery disease.…”

Section: Appropriate Use [ 4 5 ]mentioning

confidence: 99%

Section: Appropriate Use [ 4 5 ]mentioning

confidence: 99%

See 1 more Smart Citation

Ten things to know about ten imaging studies: A preventive cardiology perspective (“ASPC top ten imaging”)

Bays

Khera

Blaha³

et al. 2021

American Journal of Preventive Cardiology

View full text Add to dashboard Cite

Knowing the patient's current cardiovascular disease (CVD) status, as well as the patient's current and future CVD risk, helps the clinician make more informed patient-centered management recommendations towards the goal of preventing future CVD events. Imaging tests that can assist the clinician with the diagnosis and prognosis of CVD include imaging studies of the heart and vascular system, as well as imaging studies of other body organs applicable to CVD risk. The American Society for Preventive Cardiology (ASPC) has published “Ten Things to Know About Ten Cardiovascular Disease Risk Factors.” Similarly, this “ASPC Top Ten Imaging” summarizes ten things to know about ten imaging studies related to assessing CVD and CVD risk, listed in tabular form. The ten imaging studies herein include: (1) coronary artery calcium imaging (CAC), (2) coronary computed tomography angiography (CCTA), (3) cardiac ultrasound (echocardiography), (4) nuclear myocardial perfusion imaging (MPI), (5) cardiac magnetic resonance (CMR), (6) cardiac catheterization [with or without intravascular ultrasound (IVUS) or coronary optical coherence tomography (OCT)], (7) dual x-ray absorptiometry (DXA) body composition, (8) hepatic imaging [ultrasound of liver, vibration-controlled transient elastography (VCTE), CT, MRI proton density fat fraction (PDFF), magnetic resonance spectroscopy (MRS)], (9) peripheral artery / endothelial function imaging (e.g., carotid ultrasound, peripheral doppler imaging, ultrasound flow-mediated dilation, other tests of endothelial function and peripheral vascular imaging) and (10) images of other body organs applicable to preventive cardiology (brain, kidney, ovary). Many cardiologists perform cardiovascular-related imaging. Many non-cardiologists perform applicable non-cardiovascular imaging. Cardiologists and non-cardiologists alike may benefit from a working knowledge of imaging studies applicable to the diagnosis and prognosis of CVD and CVD risk – both important in preventive cardiology.

show abstract

Section: Appropriate Use [ 4 5 ]mentioning

confidence: 99%

Section: Appropriate Use [ 4 5 ]mentioning

confidence: 99%

Ten things to know about ten imaging studies: A preventive cardiology perspective (“ASPC top ten imaging”)

Bays

Khera

Blaha³

et al. 2021

American Journal of Preventive Cardiology

View full text Add to dashboard Cite

show abstract

“…In lieu of the TBR method, global assessment of the major vessels, called the Alavi-Carlsen Calcification Score (ACCS), may offer significant advantages for using PET imaging to study diffuse CVD activity [ 97 ]. The Alavi-Carlsen Calcification Score method of global assessment contrasts with the focal approach, which is limited to specific sites such as atherosclerotic plaques in the coronary arteries [ 81 ].…”

Section: Atherosclerosismentioning

confidence: 99%

“…As such, the ACCS global assessment examines atherosclerosis in its appropriate context as a diffuse, systemic disease that exerts differential effects in various parts of the affected arteries [ 97 , 101 ]. The score is derived from measuring the total tracer uptake in structures such as the entire body, major vessels, or specific organs such as the heart in the form of average SUV over a broad segment of the body.…”

Section: Atherosclerosismentioning

confidence: 99%

PET-Based Imaging with 18F-FDG and 18F-NaF to Assess Inflammation and Microcalcification in Atherosclerosis and Other Vascular and Thrombotic Disorders

et al. 2021

Self Cite

View full text Add to dashboard Cite

Positron emission tomography (PET) imaging with 18F-fluorodeoxyglucose (FDG) represents a method of detecting and characterizing arterial wall inflammation, with potential applications in the early assessment of vascular disorders such as atherosclerosis. By portraying early-stage molecular changes, FDG-PET findings have previously been shown to correlate with atherosclerosis progression. In addition, recent studies have suggested that microcalcification revealed by 18F-sodium fluoride (NaF) may be more sensitive at detecting atherogenic changes compared to FDG-PET. In this review, we summarize the roles of FDG and NaF in the assessment of atherosclerosis and discuss the role of global assessment in quantification of the vascular disease burden. Furthermore, we will review the emerging applications of FDG-PET in various vascular disorders, including pulmonary embolism, as well as inflammatory and infectious vascular diseases.

show abstract

“…The use of modern arti cial intelligence (AI) based methods offers new possibilities for automated and objective image analysis [11]. AI-based methods can also be trained to assess the entire burden of disease by including both extent and activity of the tumor and not only maximum or peak SUV, which represents a very small volume of the tumor [12]. Manual methods to assess the total tumor burden, for example segmentations of all tumor lesions and estimation of total lesion glycolysis (TLG), are too time-consuming for clinical use and hampered by low reproducibility.…”

Section: Introductionmentioning

confidence: 99%

AI-based quantification of PET/CT lesions is associated with survival in patients with lung cancer

Borrelli¹,

Góngora²,

Kaboteh³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Purpose The use of modern artificial intelligence (AI) based methods offers new possibilities for automated and objective image analysis of PET/CT studies. We aimed to develop an AI tool for segmentation and quantification of tumor burden in [18F]-fluorodeoxyglucose (FDG) PET/CT studies and to evaluate the association between the AI-based measurements and overall survival (OS) in patients with lung cancer. Methods A total of 320 consecutive patients referred for FDG PET/CT due to suspected lung cancer were retrospectively selected for the study. Two nuclear medicine specialists manually segmented abnormal FDG uptake in all PET/CT studies. One third of the patients were assigned to a test group. Survival data was collected for this group. An AI tool based on convolutional neural networks was trained to segment lung tumors and thoracic lymph nodes. The AI tool includes a previously trained convolutional neural network, which segments organs in the CT. Total lesion glycolysis (TLG) was calculated based on the AI-based and manual segmentations. Associations between TLG and OS were investigated using a univariate Cox proportional hazards regression model. Results Both AI-based TLG (Hazard ratio 1.64, 95% confidence interval 1.21–2.21; p = 0.001) and manual TLG (Hazard ratio 1.54, 95% confidence interval 1.14–2.07; p = 0.004) were significantly associated with OS. Conclusion Fully automated AI-based TLG measurements of PET/CT studies showed significant association with OS in patients with lung cancer. This type of measurements may be of value in the management of future patients with lung cancer. Our AI tool is available on reasonable request for research purposes at the RECOMIA platform (https://recomia.org).

show abstract

Assessment of Total-Body Atherosclerosis by PET/Computed Tomography

Cited by 17 publications

References 79 publications

Ten things to know about ten imaging studies: A preventive cardiology perspective (“ASPC top ten imaging”)

Ten things to know about ten imaging studies: A preventive cardiology perspective (“ASPC top ten imaging”)

PET-Based Imaging with 18F-FDG and 18F-NaF to Assess Inflammation and Microcalcification in Atherosclerosis and Other Vascular and Thrombotic Disorders

AI-based quantification of PET/CT lesions is associated with survival in patients with lung cancer

Contact Info

Product

Resources

About