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The detection of circulating tumor cells (CTCs) is crucial to early cancer diagnosis and the evaluation of cancer metastasis. However, it remains challenging due to the scarcity of CTCs in the blood. Herein, we report an ultrasensitive platform for the direct detection of CTCs using luminescent lanthanide nanoprobes. These were designed to recognize the epithelial cell adhesion molecules on cancer cells, allowing signal amplification through dissolution-enhanced time-resolved photoluminescence (TRPL) and the elimination of short-lived autofluorescence interference. This enabled the direct detection of blood breast-cancer cells with a limit of detection down to 1 cell/well of a 96-well plate. Moreover, blood CTCs (≥10 cells mL ) can be detected in cancer patients with a detection rate of 93.9 % (14/15 patients). We envision that this ultrasensitive detection platform with excellent practicality may provide an effective strategy for early cancer diagnosis and prognosis evaluation.
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http://dx.doi.org/10.1002/anie.201907605 | DOI Listing |
J Histotechnol
September 2025
Department of Pathology, Peking University Third Hospital, Beijing, China.
Amyloidosis encompasses a spectrum of rare disorders characterized by extracellular amyloid deposition. Achieving an accurate early diagnosis of systemic amyloidosis necessitates biopsy-specific pathological evaluation. Formalin-fixed, paraffin-embedded liver biopsy specimens were examined using Congo red staining, electron microscopy, immunohistochemistry (IHC), immunofluorescence, and Congo red-assisted laser microdissection with mass spectrometry (LMD/MS).
View Article and Find Full Text PDFDan Med J
August 2025
Department of Cardiology, Copenhagen University Hospital - Herlev and Gentofte Hospital.
Introduction: Long-term cardiac monitoring has become more accessible with the advent of consumer-oriented wearable devices. Smartwatches (SWs) hold promise for extended rhythm monitoring owing to their availability and direct electronic health record (EHR) integration. We studied the clinical consequences of SW implementation in patients with palpitations.
View Article and Find Full Text PDFStroke
September 2025
Division of Neonatology, Department of Pediatrics, Willem-Alexander Children's Hospital, Leiden University Medical Center, the Netherlands. (B.O.v.O., M.R., M.S.S., E.L., L.S.d.V., S.J.S.).
Background: Monochorionic twins, characterized by placental sharing and vascular anastomoses, carry a high risk of brain injury, including perinatal arterial ischemic stroke (PAIS). However, the pathophysiology and timing-related risk factors of PAIS remain unclear.
Methods: Retrospective cohort of all monochorionic twins with neuroimaging-confirmed PAIS born from 2005 to 2024 and evaluated at a Dutch national referral center.
Int J Gen Med
September 2025
Department of Gynecology, Zhongshan Hospital, Fudan University, Shanghai, 200035, People's Republic of China.
Objective: This study aims to investigate the association between the dynamics of routine metabolic markers and endometriosis severity.
Methods: A retrospective analysis was conducted on patients diagnosed with endometriosis at Zhongshan Hospital, Xiamen, affiliated with Fudan University. The collected data encompassed demographic details and biochemical indicators related to lipid, hepatobiliary, renal metabolism, and electrolyte balance.
J Oral Biol Craniofac Res
August 2025
Neura Integrasi Solusi, Jl. Kebun Raya No. 73, Rejowinangun, Kotagede, Yogyakarta, 55171, Indonesia.
Background: Periodontal disease is an inflammatory condition causing chronic damage to the tooth-supporting connective tissues, leading to tooth loss in adults. Diagnosing periodontitis requires clinical and radiographic examinations, with panoramic radiographs crucial in identifying and assessing its severity and staging. Convolutional Neural Networks (CNNs), a deep learning method for visual data analysis, and Dense Convolutional Networks (DenseNet), which utilize direct feed-forward connections between layers, enable high-performance computer vision tasks with reduced computational demands.
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