2022
DOI: 10.3389/fcvm.2022.809301
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S2 Heart Sound Detects Aortic Valve Calcification Independent of Hemodynamic Changes in Mice

Abstract: BackgroundCalcific aortic valve disease (CAVD) is often undiagnosed in asymptomatic patients, especially in underserved populations. Although artificial intelligence has improved murmur detection in auscultation exams, murmur manifestation depends on hemodynamic factors that can be independent of aortic valve (AoV) calcium load and function. The aim of this study was to determine if the presence of AoV calcification directly influences the S2 heart sound.MethodsAdult C57BL/6J mice were assigned to the followin… Show more

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Cited by 7 publications
(5 citation statements)
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“…Additionally, we presented that adenine+high Pi diet induced hydroxyapatite accumulation in the heart valves ( Figure 1F-G ), showing that this model is suitable to study Pi-induced VC. In agreement with our results using the same mice model Dargam et al recently detected VC by S2 heart sound 34 . The synthetic bisphosphonate fluorescence dye OsteoSense™ that binds specifically to hydroxyapatite, is getting more recognition in the detection of vascular calcification 27,35 .…”
Section: Discussionsupporting
confidence: 94%
See 1 more Smart Citation
“…Additionally, we presented that adenine+high Pi diet induced hydroxyapatite accumulation in the heart valves ( Figure 1F-G ), showing that this model is suitable to study Pi-induced VC. In agreement with our results using the same mice model Dargam et al recently detected VC by S2 heart sound 34 . The synthetic bisphosphonate fluorescence dye OsteoSense™ that binds specifically to hydroxyapatite, is getting more recognition in the detection of vascular calcification 27,35 .…”
Section: Discussionsupporting
confidence: 94%
“…using the same mice model Dargam et al recently detected VC by S2 heart sound 34 . The synthetic bisphosphonate fluorescence dye OsteoSense™ that binds specifically to hydroxyapatite, is getting more recognition in the detection of vascular calcification 27,35 .…”
Section: Discussionmentioning
confidence: 94%
“…In a noteworthy animal experiment, Dargam et al . [ 54 ] developed an ensemble-learning-based algorithm that uses S2 sounds extracted from PCGs to predict aortic valve calcification. This has major clinical significance due to the poor prognosis of patients with calcified AS [ 55 ].…”
Section: Artificial Intelligence In the Clinical Pathway Workflow For...mentioning
confidence: 99%
“…Morphological assessments, often used for pre-TAVR evaluation, leverage neural networks to analyze the volume and Agatston score of aortic root calcifications based on segmentations [ 77 ]. These assessments are viable even in low-dose CT for lung screening [ 68 ] and auscultation [ 54 ]. supervised AI models can also predict the aortic valve area that supports prosthesis sizing, thereby minimizing inter-observer variability [ 16 ].…”
Section: Artificial Intelligence In the Clinical Pathway Workflow For...mentioning
confidence: 99%
“…The 5/6 nephrectomy model, however, has several limitations, including variable surgical success rate, inter-laboratory variations, and irreversibility of the procedure (16). On the other hand, several recent vascular calcification studies not concerned with atherosclerosis have been conducted using a non-surgical adenine-induced model of CKD (17)(18)(19)(20). Excessive oral intake of adenine leads to the accumulation of 2,8-dihydroxyadenine crystals in the renal tubules that cause progressive tubulointerstitial nephropathy (21).…”
Section: Introductionmentioning
confidence: 99%