Abstract. In vivo fluorescence lifetime imaging (FLI) is an advanced optical imaging modality with the capability to reveal additional biological informati

This modular, site-specific antibody platform enables customizable conjugates for PET imaging and therapy. Interchangeable payloads – including radiometals, cytotoxics, and fluorophores – support ada...

Abstract. Protein bioconjugates are at the forefront of precision medicine, enabling the design of highly selective drugs for diagnostic and therapeutic ap

Ever since the FDA-approval of Indocyanine Green over 60 years ago, researchers launched an endeavor to improve upon its chemical and pharmacokinetic properties to create cyanine-based fluorophores s....

Aza-boron-dipyrromethenes (aza-BODIPYs) are established fluorescent imaging agents derived from aza-DIPY ligands coordinated to boron. While many modifications of the aza-DIPY core have optimized the photophysical properties, replacing boron with a metal ion remains underexplored. Here, we report four zirconium-based aza-DIPY complexes (aza-ZrDIPYs) and show that this substitution enables bimodal NIR-I fluorescence and photoacoustic imaging. The complexes were fully characterized and evaluated photophysiologically. The bromo derivative, aza-ZrDIPY-Br, displayed particularly favorable dual-mode properties. It showed low in vitro cytotoxicity and an effective uptake in two human cell lines. In mice bearing subcutaneous U87-MG glioblastoma tumors, intravenous or peritumoral administration led to passive tumor accumulation, with tumor-to-background ratios of up to 5 (photoacoustic) and 2 (optical). These results highlight aza-ZrDIPY-Br as a promising bimodal probe for tumor imaging, with future work aimed at improving specificity through active targeting.

Histopathology slide digitization introduces scanner-induced domain shift that can significantly impact computational pathology models based on deep learning methods. In the state-of-the-art, this shi...

Scientific Reports - Automatic computation of breast cancer biomarkers from multiple $$^{18}$$ F-FDG PET image segmentation

Abstract. Introduction: In recent years, retinal vascular imaging has attracted growing interest and is experiencing rapid technological advancements in imaging modalities such as swept-source optical...

Abstract. 1953 was a watershed year in the history of science, indelibly linked to the discovery of DNA’s double-helix structure by James Watson, Francis C

Objectives 1. To develop a deep-learning segmentation model for automated measurement of maximal aortic diameter (Dmax) and volumes of aortic dissection components: true-lumen (TL), circulating false-lumen (CFL), and thrombus (Th) on CT angiography (CTA). 2. To assess the predictive value of these measures for adverse aortic remodeling in residual aortic dissection (RAD). Materials and methods This retrospective study included 322 patients from two centers. The segmentation model was trained on 120 patients (Center 1) and tested on an internal dataset (30 patients, Center 1) and an external dataset (10 patients, Center 2) in terms of Dice Similarity Coefficient (DSC). The model extracted Dmax, global false-lumen volume (FLGlo = CFL + Th), and local false-lumen volume (FLLoc, measured 3 cm around the largest diameter). Clinical validation was performed on 83 patients from Center1 (internal validation, 2-year follow-up) and 79 patients from Center2 (external validation, 4.5-year follow-up). Results The segmentation model achieved high accuracy (Center 1, DSC: 0.93 TL, 0.93 CFL, 0.87 Th; Center 2, DSC: 0.92 TL, 0.93 CFL, 0.84 Th) with strong agreement between automated and manual measurements. Aortic remodeling occurred in 39/83 patients (46.9%) from Center1 and 33/79 patients (41.7%) from Center2. Aortic remodeling occurred in 39/83 patients (47%) from Center1 and 33/80 (42%) from Center2. FLLoc outperformed Dmax and FLGlo (Center 1: AUC = 0.83, 0.73, and 0.76; Center 2: AUC = 0.77, 0.64, and 0.70). At optimal thresholds, FLLoc showed good predictive performance (Center 1: Sensitivity = 0.87, Specificity = 0.68). Conclusion Deep-learning segmentation provides accurate aortic measurements. Local false-lumen volumes predict adverse aortic remodeling in RAD better than diameter and global false-lumen volumes. Key Points Question In residual aortic dissection (RAD) after type-A dissection, early identification of high-risk patients on initial CT angiography is crucial for endovascular treatment decisions. Findings False-lumen local volumes (3 cm around aortic dissection maximal diameters), obtained with an automatic deep-learning method, predict adverse remodeling better than diameter or global false-lumen volumes. Clinical relevance A deep-learning segmentation method of aortic dissection components on CTA, enabling automatic measurements of diameters and volumes is feasible. It provides local false-lumen volumes, a better predictive marker of adverse aortic remodeling than the currently used diameters and global volumes. Graphical Abstract

The study reports the synthesis and biological evaluation of [111In]In-WAZABY, a novel bimodal imaging probe based on a water-soluble NIR-II aza-BODIPY fluorophore. The platform enables the design of ...

Complexation of radiometals by chelators allows for convenient radiolabeling of molecules of interest for the preparation of radiopharmaceuticals. In the chelator family, triazacyclononane (TACN)-base...

Hybrid operating rooms (HORs) combine a conventional state-of-the-art microsurgical theater and advanced imaging technologies, usually an intraoperative digital subtraction angiography (DSA) system. I...

Background The role of middle meningeal artery (MMA) embolization as an adjunct to standard treatment in chronic subdural hematoma (CSDH) is debated. Further ra...

Linear accelerators (linac) with embedded magnetic resonance (MR) imaging involves a specific workflow that includes systematically a deformable image registration (DIR) with computed tomography image...

AbstractPurpose:. Cluster of differentiation 40 (CD40) is expressed on B-cell acute lymphoblastic leukemia (B-ALL) cases. However, the effect of CD40 activation on B-ALL cells has never been tested in...

Augmented reality in the operating room enhances surgical precision. Merging information from preoperative 3D imaging into the real-time video during surgery allows for better visualization of critica...

Objectives 1. To develop a deep-learning segmentation model for automated measurement of maximal aortic diameter (Dmax) and volumes of aortic dissection components: true-lumen (TL), circulating false-...

Parallel magnetic resonance imaging (pMRI) reduces MRI acquisition time, with Sensitivity Encoding (SENSE) being a widely used method that exploits coil sensitivity maps for efficient image reconstru...

Abstract. The printing and dyeing industry is one of the most polluting (ca. 20% of global clean water pollution), water-consuming and energy-wasting secto

The biological role of DNA and RNA G-quadruplexes (G4s) is relayed to the cellular circuitry by a plethora of proteins known as G4-binding proteins (G4PBs). It is thus critical to decipher the formation of the G4/G4BP complexes to accurately understand their involvement in G4-mediated regulatory mechanisms. While hundreds of G4-interacting compounds (G4 ligands) have been used to uncover G4 biology in a rather indirect manner, only a handful of multivalent ligands allowing for identifying associated proteins have been designed, mostly relying on the covalent capture of G4BPs upon photoactivation. We report herein on such a multivalent ligand named photoMultiTASQ, which belongs to a family of biomimetic and smart G4 ligands known as template-assembled synthetic G-quartets (TASQs). We show how photoMultiTASQ interacts with and photo-cross-links both DNA/RNA G4s and related G4BPs, and develop a new mass spectrometry (MS)-based technique to characterize the covalent adducts. Collectively, these results make photoMultiTASQ a new molecular tool in the arsenal of chemical cross-linking and isolation by pull-down (Chem-CLIP) technologies that uniquely identify targets and validate target engagement in cells.

The potential of clustered regularly interspaced short palindromic repeats (CRISPR) and corresponding CRISPR-associated (Cas) protein systems (CRISPR/Cas) systems for biomedical applications is tremendous; however, precise control of their activity is essential to better harness this potential and, beyond this, to develop reliable diagnostic reagents. Herein, we report on such a strategy by controlling the CRISPR/Cas12a activity using a photo-controllable CRISPR RNA (crRNA). To this end, the 3′ end of crRNA was conjugated to a G-quadruplex (G4) block through a photocleavable linker: upon photo irradiation, the G4 trigger is removed, thus allowing for the DNA target to access and hybridize with the crRNA, and thus be processed by the CRISPR/Cas12a system. The efficiency of this approach was demonstrated by the detection of human papillomavirus 16 DNA in 50 clinical samples: our one-pot strategy was found to be as efficient as the routinely implemented method (qPCR), with 95.7% sensitivity and 100% specificity, in addition to be faster (25 versus 60 min) and both simpler and less expensive (being implementable as lateral flow test strips). Collectively, this new and fully controllable CRISPR/Cas system holds great potential for next-generation clinical diagnostics.

We report the synthesis and evaluation of the first 3,6,10,13-tetraaza-1,8(2,6)-dipyridinacyclotetradecaphane-3,6,10,13-tetraacetic acid (PYTA) bifunctional chelators (BFCs) for 225Ac coordination. Me...

Monoclonal antibodies have proven to be highly effective for in vivo targeting in nuclear medicine applications. However, typical radiolabeling methods, for PET/SPECT imaging and targeted radionuclide...

Objectives To assess 12-month outcomes of prostate artery embolization (PAE) using N-butyl cyanoacrylate (NBCA) glue in patients with incapacitating lower-urinary-tract symptoms (LUTS) due to benign p...

Colistin (COL) is a widely used antibiotic and is quite often used as a last-resort treatment option for treating multidrug-resistant Gram-negative bacterial infections. Due to its widespread use, COL...