Performance evaluation of image co-registration methods in photoacoustic mesoscopy of the vasculature.

The formation of functional vasculature in solid tumours enables delivery of oxygen and nutrients, and is vital for effective treatment with chemotherapeutic agents. Longitudinal characterisation of vascular networks can be enabled using mesoscopic photoacoustic imaging, but requires accurate image co-registration to precisely assess local changes across disease development or in response to therapy. Co-registration in photoacoustic imaging is challenging due to the complex nature of the generated signal, including the sparsity of data, artefacts related to the illumination/detection geometry, scan-to-scan technical variability, and biological variability, such as transient changes in perfusion.

Inter-visit and inter-reader reproducibility of multi-parametric diffusion-weighted MR imaging in longitudinally imaged patients with metabolic dysfunction-associated fatty liver disease and healthy volunteers.

Background: Despite the widespread use of diffusion-weighted imaging (DWI) in metabolic dysfunction-associated fatty liver disease (MAFLD), MRI acquisition and quantification techniques vary in the literature suggesting the need for established and reproducible protocols. The goal of this study was to assess inter-visit and inter-reader reproducibility of DWI- and IVIM-derived parameters in patients with MAFLD and healthy volunteers using extensive sampling of the "fast" compartment, non-rigid registration, and exclusion voxels with poor fit quality.

Methods: From June 2019 to April 2023, 31 subjects (20 patients with biopsy-proven MAFLD and 11 healthy volunteers) were included in this IRB-approved study.

Unsupervised Segmentation of 3D Microvascular Photoacoustic Images Using Deep Generative Learning.

Mesoscopic photoacoustic imaging (PAI) enables label-free visualization of vascular networks in tissues with high contrast and resolution. Segmenting these networks from 3D PAI data and interpreting their physiological and pathological significance is crucial yet challenging due to the time-consuming and error-prone nature of current methods. Deep learning offers a potential solution; however, supervised analysis frameworks typically require human-annotated ground-truth labels.

Performance evaluation of mesoscopic photoacoustic imaging.

Photoacoustic mesoscopy visualises vascular architecture at high-resolution up to ~3 mm depth. Despite promise in preclinical and clinical imaging studies, with applications in oncology and dermatology, the accuracy and precision of photoacoustic mesoscopy is not well established. Here, we evaluate a commercial photoacoustic mesoscopy system for imaging vascular structures.

Predicting histopathology markers of endometrial carcinoma with a quantitative image analysis approach based on spherical harmonics in multiparametric MRI.

Purpose: Identifying optimal machine learning pipelines for computer-aided diagnosis is key for the development of robust, reproducible, and clinically relevant imaging biomarkers for endometrial carcinoma. The purpose of this study was to introduce the mathematical development of image descriptors computed from spherical harmonics (SPHARM) decompositions as well as the associated machine learning pipeline, and to evaluate their performance in predicting deep myometrial invasion (MI) and histopathological high-grade in preoperative multiparametric magnetic resonance imaging (MRI).

Patients And Methods: This retrospective study included 128 women with histopathology-confirmed endometrial carcinomas who underwent 1.

The future of MRI in radiation therapy: Challenges and opportunities for the MR community.

Radiation therapy is a major component of cancer treatment pathways worldwide. The main aim of this treatment is to achieve tumor control through the delivery of ionizing radiation while preserving healthy tissues for minimal radiation toxicity. Because radiation therapy relies on accurate localization of the target and surrounding tissues, imaging plays a crucial role throughout the treatment chain.

Development and Validation of Multiparametric MRI-based Radiomics Models for Preoperative Risk Stratification of Endometrial Cancer.

Background Stratifying high-risk histopathologic features in endometrial carcinoma is important for treatment planning. Radiomics analysis at preoperative MRI holds potential to identify high-risk phenotypes. Purpose To evaluate the performance of multiparametric MRI three-dimensional radiomics-based machine learning models for differentiating low- from high-risk histopathologic markers-deep myometrial invasion (MI), lymphovascular space invasion (LVSI), and high-grade status-and advanced-stage endometrial carcinoma.

Quantification of vascular networks in photoacoustic mesoscopy.

Mesoscopic photoacoustic imaging (PAI) enables non-invasive visualisation of tumour vasculature. The visual or semi-quantitative 2D measurements typically applied to mesoscopic PAI data fail to capture the 3D vessel network complexity and lack robust ground truths for assessment of accuracy. Here, we developed a pipeline for quantifying 3D vascular networks captured using mesoscopic PAI and tested the preservation of blood volume and network structure with topological data analysis.

The Potential of Photoacoustic Imaging in Radiation Oncology.

Radiotherapy is recognized globally as a mainstay of treatment in most solid tumors and is essential in both curative and palliative settings. Ionizing radiation is frequently combined with surgery, either preoperatively or postoperatively, and with systemic chemotherapy. Recent advances in imaging have enabled precise targeting of solid lesions yet substantial intratumoral heterogeneity means that treatment planning and monitoring remains a clinical challenge as therapy response can take weeks to manifest on conventional imaging and early indications of progression can be misleading.

Malignancy risk stratification of cystic renal lesions based on a contrast-enhanced CT-based machine learning model and a clinical decision algorithm.

Objective: To distinguish benign from malignant cystic renal lesions (CRL) using a contrast-enhanced CT-based radiomics model and a clinical decision algorithm.

Methods: This dual-center retrospective study included patients over 18 years old with CRL between 2005 and 2018. The reference standard was histopathology or 4-year imaging follow-up.

Intravoxel incoherent motion diffusion-weighted MRI for the characterization of inflammation in chronic liver disease.

Objective: To evaluate the diagnostic performance of intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) for grading hepatic inflammation.

Methods: In this retrospective cross-sectional dual-center study, 91 patients with chronic liver disease were recruited between September 2014 and September 2018. Patients underwent 3.

MRI cine-tagging of cardiac-induced motion for noninvasive staging of liver fibrosis.

Background: MR elastography is a noninvasive technique that provides high diagnostic accuracy for the staging of liver fibrosis; however, it requires external hardware and mainly assesses the right lobe.

Purpose: To evaluate the diagnostic performance of MRI cine-tagging for staging fibrosis in the left liver lobe, using biopsy as the reference standard.

Study Type: Institutional Review Board (IRB)-approved two-center prospective study.

Prospective comparison of transient, point shear wave, and magnetic resonance elastography for staging liver fibrosis.

Objectives: To perform head-to-head comparisons of the feasibility and diagnostic performance of transient elastography (TE), point shear-wave elastography (pSWE), and magnetic resonance elastography (MRE).

Methods: This prospective, cross-sectional, dual-center imaging study included 100 patients with known or suspected chronic liver disease caused by hepatitis B or C virus, nonalcoholic fatty liver disease, or autoimmune hepatitis identified between 2014 and 2018. Liver stiffness measured with the three elastographic techniques was obtained within 6 weeks of a liver biopsy.

[[The Lactéol's laboratory of Dr Boucard (Laboratoire du Dr Boucard].

Shortly before 1910, Dr Boucard creates his laboratory in Paris. It manufactures and sells a drug based on lactic ferments the " Lactéol du Dr Boucard" (Dr's Boucard Lactéol) that will make the fortune of the physician. The article explains Dr Boucard's life and his relationship with the arts (painting and photography), and tells the story of his laboratory until the 2000s, referring to the pharmacists who succeeded them, as well as the various buildings where were elaborated Lactéol's variants.

[The end of an era. Fourteen radio sketches for the Pink Pills].

Those sketches, restaured by the French "Institut national de l'audiovisuel", are transcribed and analyzed for the first time. They was probably broadcasted during the summer of 1939 by the private station Radio Gard Nîmes.

Jean Comandon Neuroscientist.

The microbiologist Jean Comandon is famous for his studies on the movement of the syphilis bacteria as differentiated in various forms by ultramicroscope. He was also a pioneer on the technical application of the microcinematography in laboratory research. His collaboration with clinicians and surgeons in the study of various pathological disorders is little known.

[The "catgut's" laboratory of Auguste Fandre in Nancy].

Auguste Fandre, owner of a pharmacy in Nancy since 1906, specializes his enterprise in biological analyses and in the production of sterilized serums and blisters. In 1907, he imagines the "Catgut Fandre". During the First World War, his production becomes enormous and he must reorganize his laboratory.

[Rise and fall of Lactarium Linas].

The pharmacist Gabriel Linas (1863-1951) founded in Versailles (France), in 1904, a model establishment: the "milk-bank Linas". This article discusses the history of this establishment and the judicial problems of its owner during the First World War.

[Who coined the French word "coricide"?].

In this article, the author examines the claims of the pharmacist Adolphe René Le Brun, assignee of the trademark "Coricide russe". Litigation and trials are reported. Some hypotheses are studied.

[A series of radio broadcasts of the French School Radio devoted to Pharmacy in 1966].

In December 1966, the French School Radio devoted three of its emissions to Pharmacy. Found in the archives of the National Center for Educational Documentation (CNDP), those short programs resumed life.

[Eugène-Humbert Guitard and French Institute of History of Science (1932-1939)].

Named "membre-conseil" of the French Institute of History of Science in April 1932, Guitard gives there, from January 1935 to February 1939, a dozen history of pharmacy conferences. Those conferences will give birth to her especially valuable Manuel d'histoire de la littérature pharmaceutique, published in 1942 by Caffin. The author re-examines this intellectual adventure.

[The film library of Sandoz].

During nearly forty years, the Cinémathèque Sandoz helped the initial formation of students and the training of doctors and pharmacists. Half a century after the produc tion of one of his most memorable films, Le Horla (Jean-Daniel Pollet), the author provides a brief history of those cultural sponsorship activites. It presents the main leaders of the cinémathèque et some of its iconic projets.

[1913: A hundred years ago, the Society of the History of Pharmacy was born].

The "Société d'histoire de la pharmacie" was chronologically the first society for the history of pharmacy in the world. It was initiated by a triumvirate : Eugene-Humbert Guitard (1884-1976), a young graduate of the "Ecole des chartes", Charles Buchet (1848-1933), director of an important pharmaceutical cooperative named "Pharmacie central de France", and Paul Dorveaux (1851-1938), the librarian of the Superior School of Pharmacy of Paris. Those three men were perfectly complementary: the pharmacist Buchet was the "financial", the doctor Dorveaux was the "strategist" and Guitard was in charge of the practical realization.