Publications by authors named "D Loussouarn"

The 2030 French Innovation Healthcare national plan defined "Digital Healthcare" as one of its priority. The deployment of digital pathology and artificial intelligence fits perfectly into this framework. Therefore we evaluated the pathologist's interest in those fields by conducting an online survey among members of the French Society of Pathology, mainly composed of senior pathologists and trainees (n=2301).

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  • - A study reported on five patients with myeloid neoplasms who experienced liver complications, with liver biopsies showing that their liver sinusoids were blocked by platelet clumps and evidence of extramedullary hematopoiesis.
  • - The group included four men and one woman, ages 50 to 82, diagnosed with various haematological disorders, such as myeloproliferative neoplasms and chronic myelomonocytic leukaemia.
  • - All patients had severe liver issues, leading to different causes of death within 2 to 23 months post-biopsy, including acute myeloblastic leukaemia and portal hypertension, suggesting that microthromboses could lead to liver complications
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  • The classification of uterine sarcomas is evolving with the discovery of new types linked to specific genetic changes, categorizing them into complex genomic and simple genomic sarcomas.
  • The most common types include leiomyosarcomas and endometrial stromal sarcomas, with various histological subtypes that have differing degrees of aggression.
  • Recent advances in molecular diagnostics and targeted therapies are enhancing the identification and treatment strategies for these tumors.
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Background: Patients with glioblastomas have a dismal prognosis, and there is no circulating predictive or prognostic biomarker. Circulating progastrin, hPG, is a tumor-promoting peptide present in the blood of patients with various cancers that has been shown to have prognostic value. We evaluated the prognostic value of plasma hPG in patients with isocitrate dehydrogenase-wild type glioblastoma after surgery.

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Deep learning (DL), often called artificial intelligence (AI), has been increasingly used in Pathology thanks to the use of scanners to digitize slides which allow us to visualize them on monitors and process them with AI algorithms. Many articles have focused on DL applied to prostate cancer (PCa). This systematic review explains the DL applications and their performances for PCa in digital pathology.

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