More Than a Glow: How Cyanine Dyes Shape Tracer Pharmacokinetics

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....

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A Zirconium Aza-BODIPY Derivative as a Near-Infrared Fluorescent/Photoacoustic Imaging Bimodal Probe

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.

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UWarp: A Whole Slide Image Registration Pipeline to Characterize Scanner-Induced Local Domain Shift

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...

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

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

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The AROMA dataset for automatic detection of artifact type and severity in retinal optical coherence tomography angiography

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...

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1950–2000: five decades of curiosity-driven discovery in alternative DNA structures

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

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Deep learning-driven false-lumen volumes predict adverse remodeling better than diameter in patients with residual aortic dissection on CT - European Radiology

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

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SPECT/NIR Fluorescence Bimodal Use of Aza-BODIPY Probe Coupled with Cetuximab for Detection of Cancer: Proof of Concept on a Preclinical Head and Neck Squamous Cell Carcinoma Model

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 ...

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Chelator Conjugation Chemistry Matters: Squaramide Linker Enhances Tumor Contrast in 68Ga-labeled Anti-CEA Nanobody Tracer

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...

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Hybrid Operative Room for Vascular Neurosurgery: Applications, Limits, and Perspectives

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...

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Embolization of the middle meningeal artery for chronic subdural hematoma: The OTEMACS multicenter, randomized, clinical trial protocol - Sam Ng, Imad Derraz, Gaultier Marnat, Vincent Jecko, Jean Papa...

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

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In-depth understanding of the multimodal deformable image registration tool of a 0.35 T MR-linac

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...

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CD40 Agonist on Patient-Derived Xenograft Mice for the Treatment of B-Cell Acute Lymphoblastic Leukemia

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...

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Is 2D-augmented reality precise enough for middle ear endoscopic surgery? - European Archives of Oto-Rhino-Laryngology

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...

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