Publications by authors named "Albino Eccher"

Pathology laboratories are currently facing remarkable issues in the management of their archives due to the ongoing increase in the production of formalin-fixed paraffin-embedded (FFPE) blocks, which is often coupled with inadequate spatial and environmental storing conditions. The manual process of storage and retrieving further increases the likelihood of human-based mistakes, wastes professionals' working time, and, ultimately, widens reports signing turn-around times. In the present work, we outline the strategies underlying the development of an automated archive at the pathology services of the University of Modena.

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Objective: the study aimed to characterize the novel entity referred to as secretory carcinoma of the salivary glands.

Methods: we comprehensively evaluated 150 patients afflicted by malignant salivary gland tumors who had been under treatment at the University of Verona. Inclusion criteria primarily focused on the availability of paraffin block materials and adequate follow-up data.

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Article Synopsis
  • The "Galileo" is an AI tool that helps doctors understand kidney biopsy results better and faster before a transplant.
  • It was trained using images of kidney biopsies to recognize important things, like normal and damaged parts of the kidney.
  • Galileo works much quicker than human doctors, taking only 2 minutes to analyze samples compared to around 25-31 minutes for doctors, which can help improve kidney transplant success.
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The development of reliable artificial intelligence (AI) algorithms in pathology often depends on ground truth provided by annotation of whole slide images (WSI), a time-consuming and operator-dependent process. A comparative analysis of different annotation approaches is performed to streamline this process. Two pathologists annotated renal tissue using semi-automated (Segment Anything Model, SAM)) and manual devices (touchpad vs mouse).

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Pancreatic ductal adenocarcinoma (PDAC) still has a poor response to therapies, partly due to their cancer-associated fibroblasts (CAFs). Here, we investigate the synergistic impact of a combinatory approach between a known chemotherapy agent, such as gemcitabine (GEM), and gene-modified human mesenchymal stromal/stem cells (MSCs) secreting the pro-apoptotic soluble (s)TRAIL (sTRAIL MSCs) on both PDAC cells and CAFs. The combo significantly impacts on PDAC survival in 2D and 3D models.

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Objective: We investigated the performance of enzyme linked immunospot (ELISpot) assay for the diagnosis of invasive aspergillosis (IA) in high-risk patients with hematologic malignancies.

Methods: We prospectively enrolled two cohorts of patients undergoing intensive myelosuppressive or immunosuppressive treatments at high risk for IA. ELISpot was performed to detect Aspergillus-specific T cells producing Interleukin-10.

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Article Synopsis
  • - The 2022 fifth edition of the WHO classification for urogenital tumors updates the renal epithelial tumors section, recognizing new disease entities and refining nomenclature compared to the 2016 edition.
  • - It emphasizes the significance of biological and molecular data, recommending the use of immunohistochemistry (IHC) to connect traditional morphological features with genetic information for accurate diagnosis.
  • - The article discusses key immunohistochemical markers for newly recognized tumor entities, such as clear cell capillary renal cell tumor and eosinophilic solid and cystic renal cell carcinoma, highlighting their unique profiles and diagnostic challenges.
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Nowadays pathology laboratories are worldwide facing a digital revolution, with an increasing number of institutions adopting digital pathology (DP) and whole slide imaging solutions. Despite indeed providing novel and helpful advantages, embracing a whole DP workflow is still challenging, especially for wide healthcare networks. The Azienda Zero of the Veneto Italian region has begun a process of a fully digital transformation of an integrated network of 12 hospitals producing nearly 3 million slides per year.

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Background: There are no unequivocal histopathological findings for the diagnosis of fatal asphyxia due to neck compression. From the observation of a series of asphyxiation cases, we noted, during microscopic analysis, a high frequency of "detachment" of soft tissues from the hyoid bone. This specifically refers to the presence of an optical space between the surface of the hyoid bone and soft tissues.

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In the molecular era, proper archival conditions within pathology laboratories are crucial, especially for formalin-fixed paraffin-embedded (FFPE) tissue specimens retrieved years after the original diagnosis. Indeed, improper preservation can impact the integrity of nucleic acids and protein antigens. This study evaluates the quality status of stored FFPE blocks using multilevel omics approaches.

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Background: The decision to accept or discard the increasingly rare and marginal brain-dead donor kidneys in Eurotransplant (ET) countries has to be made without solid evidence. Thus, we developed and validated flexible clinicopathological scores called 2-Step Scores for the prognosis of delayed graft function (DGF) and 1-year death-censored transplant loss (1y-tl) reflecting the current practice of six ET countries including Croatia and Belgium.

Methods: The training set was n = 620 for DGF and n = 711 for 1y-tl, with validation sets n = 158 and n = 162, respectively.

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The assessment of programmed death-ligand 1 (PD-L1) combined positive scoring (CPS) in head and neck squamous cell carcinoma (HNSCC) is challenged by pre-analytical and inter-observer variabilities. An educational program to compare the diagnostic performances between local pathologists and a board of pathologists on 11 challenging cases from different Italian pathology centers stained with PD-L1 immunohistochemistry on a digital pathology platform is reported. A laboratory-developed test (LDT) using both 22C3 (Dako) and SP263 (Ventana) clones on Dako or Ventana platforms was compared with the companion diagnostic (CDx) Dako 22C3 pharm Dx assay.

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Aim: The digital transformation of the pathology laboratory is being continuously sustained by the introduction of innovative technologies promoting whole slide image (WSI)-based primary diagnosis. Here, we proposed a real-life benchmark of a pathology-dedicated medical monitor for the primary diagnosis of renal biopsies, evaluating the concordance between the 'traditional' microscope and commercial monitors using WSI from different scanners.

Methods: The College of American Pathologists WSI validation guidelines were used on 60 consecutive renal biopsies from three scanners (Aperio, 3DHISTECH and Hamamatsu) using pathology-dedicated medical grade (MG), professional grade (PG) and consumer-off-the-shelf (COTS) monitors, comparing results with the microscope diagnosis after a 2-week washout period.

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Programmed death-ligand 1 (PD-L1) expression is currently used in the clinic to assess eligibility for immune-checkpoint inhibitors via the tumor proportion score (TPS), but its efficacy is limited by high interobserver variability. Multiple papers have presented systems for the automatic quantification of TPS, but none report on the task of determining cell-level PD-L1 expression and often reserve their evaluation to a single PD-L1 monoclonal antibody or clinical center. In this paper, we report on a deep learning algorithm for detecting PD-L1 negative and positive tumor cells at a cellular level and evaluate it on a cell-level reference standard established by six readers on a multi-centric, multi PD-L1 assay dataset.

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Article Synopsis
  • This study investigates the expression of TROP-2 and NECTIN-4 in undifferentiated bladder urothelial carcinoma (BUC), specifically focusing on sarcomatoid and rhabdoid subtypes, which are less understood compared to common forms of BUC.
  • Out of 35 undifferentiated BUC cases, TROP-2 was expressed in 20% and NECTIN-4 in 29%, with various other biomarkers such as HER-2 and PD-L1 also evaluated, showing diverse expression rates across cases.
  • The findings suggest that while TROP-2 and NECTIN-4 can be present in some sarcomato
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Transplantation of an organ from a donor carries an unavoidable risk of tumor transmission. The need to extend the donor pool increases the use of organs from donors with malignancies and potential disease transmission is a constant tension influencing donor suitability decisions. Current classification systems for the assessment of donor malignancy transmission risk have evolved from reports of potential transmission events in recipients to national donation and transplant surveillance agencies.

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Kidney transplantation is the best treatment for end-stage renal disease since it offers the greatest survival benefit compared to dialysis. The gap between the number of renal transplants performed and the number of patients awaiting renal transplants leads to a steadily increasing pressure on the scientific community. Kidney preimplantation biopsy is used as a component of the evaluation of organ quality before acceptance for transplantation.

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Objectives: The high incidence of prostate cancer causes prostatic samples to significantly affect pathology laboratories workflow and turnaround times (TATs). Whole-slide imaging (WSI) and artificial intelligence (AI) have both gained approval for primary diagnosis in prostate pathology, providing physicians with novel tools for their daily routine.

Methods: A systematic review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was carried out in electronic databases to gather the available evidence on the application of AI-based algorithms to prostate cancer.

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Objective: The use of standardized structured reports (SSR) and suitable terminologies like SNOMED-CT can enhance data retrieval and analysis, fostering large-scale studies and collaboration. However, the still large prevalence of narrative reports in our laboratories warrants alternative and automated labeling approaches. In this project, natural language processing (NLP) methods were used to associate SNOMED-CT codes to structured and unstructured reports from an Italian Digital Pathology Department.

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Treating head and neck tumors has undergone significant advancements, focusing on improving the patient's quality of life after treatment. Reconstructive surgical techniques with free flaps have been vital in restoring anatomy, function, and aesthetics, reducing morbidity from locoregional treatments. Monitoring free flaps is crucial to detect and address any vascular compromise that may lead to flap failure.

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Article Synopsis
  • Early detection of larynx cancer is vital for better treatment outcomes, and recent studies indicate that artificial intelligence can improve diagnostic methods.
  • AI can enhance the accuracy of detecting larynx cancer through techniques like white light endoscopy and narrow-band imaging, leading to more efficient diagnoses.
  • While AI shows promise in assisting with transoral larynx microsurgery by supporting real-time surgical decisions and reducing complication risks, more research is needed to confirm its effectiveness and improve its use in clinical settings.
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The number of patients awaiting a kidney transplant is constantly rising but lack of organs leads kidneys from extended criteria donors (ECD) to be used to increase the donor pool. Pre-transplant biopsies are routinely evaluated through the Karpinski-Remuzzi score but consensus on its correlation with graft survival is controversial. This study aims to test a new diagnostic model relying on digital pathology to evaluate pre-transplant biopsies and to correlate it with graft outcomes.

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