98%
921
2 minutes
20
Normalized pulse volume (NPV) derived from the ear has the potential to be a practical index for monitoring daily life stress. However, ear NPV has not yet been validated. Therefore, we compared NPV derived from an index finger using transmission photoplethysmography as a reference, with NPV derived from a middle finger and four sites of the ear using reflection photoplethysmography during baseline and while performing cold and warm water immersion in ten young and six middle-aged subjects. The results showed that logarithmically-transformed NPV (lnNPV) during cold water immersion as compared with baseline values was significantly lower, only at the index finger, the middle finger and the bottom of the ear-canal. Furthermore, lnNPV reactivities (ΔlnNPV; the difference between baseline and test values) from an index finger were significantly related to ΔlnNPV from the middle finger and the bottom of the ear-canal (young: r = 0.90 and 0.62, middle-aged: r = 0.80 and 0.58, respectively). In conclusion, these findings show that reflection and transmission photoplethysmography are comparable methods to derive NPV in accordance with our theoretical prediction. NPV derived from the bottom of the ear-canal is a valid approach, which could be useful for evaluating daily life stress.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1088/0967-3334/34/3/359 | DOI Listing |
Quant Imaging Med Surg
September 2025
Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background: Super-resolution deep learning reconstruction (SR-DLR) algorithm has emerged as a promising image reconstruction technique for improving the image quality of coronary computed tomography angiography (CCTA) and ensuring accurate CCTA-derived fractional flow reserve (CT-FFR) assessments even in problematic scenarios (e.g., the presence of heavily calcified plaque and stent implantation).
View Article and Find Full Text PDFFront Oncol
August 2025
Department of Radiology, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Background: In dynamic contrast-enhanced T1-weighted imaging (DCE-T1WI) of breast lesions, type III time-intensity curves (TICs) are associated with malignant lesions, and type I TICs are associated with benign lesions, but the association of type II curves with the status of breast lesions remains controversial. This study aimed to analyze the semi-quantitative parameters derived from DCE-T1WI in patients with type II TIC breast lesions and to develop a nomogram for the benign/malignant classification of lesions with type II TICs.
Methods: Data of patients with type II TIC breast lesions were retrospectively collected.
Radiologie (Heidelb)
August 2025
College of Medicine, Taibah University, Al-Madinah Al-Munawwarah, Saudi Arabia.
Background: Spinal dysraphism refers to congenital abnormalities of the spine and spinal cord resulting from defective development of ectodermal, mesodermal, and neuroectodermal tissues. It is broadly classified into open (aperta) and closed (occulta) forms, presenting with conditions such as meningocele, myelomeningocele, and lipomyelomeningocele. Our study aimed to assess the diagnostic accuracy of ultrasound (US) in detecting spinal dysraphism in infants, with magnetic resonance imaging (MRI) as the reference standard.
View Article and Find Full Text PDFEur J Radiol
August 2025
Yunnan Key Laboratory of Stomatology & Department of Oral and Maxillofacial Surgery, The Affiliated Stomatology Hospital, Kunming Medical University, China. Electronic address:
Objective: This study explores radiomics and deep learning for predicting pulmonary metastasis in head and neck Adenoid Cystic Carcinoma (ACC), assessing machine learning(ML) algorithms' model performance.
Methods: The study retrospectively analyzed contrast-enhanced CT imaging data and clinical records from 130 patients with pathologically confirmed ACC in the head and neck region. The dataset was randomly split into training and test sets at a 7:3 ratio.
Breast Cancer Res
August 2025
PreciseDx, Inc., New York, NY, USA.
Background: Current clinical guidelines recommend gene expression profiling to guide treatment in early-stage breast cancer. PreciseBreast (PDxBR) is a digital prognostic tool that integrates artificial intelligence (AI)-derived features from hematoxylin and eosin (H&E) slides with clinicopathologic data to predict recurrence risk. This study externally validated PDxBR in an independent cohort and compared its performance to other risk models.
View Article and Find Full Text PDF