Aims: Tumour budding is considered to be a good marker for progression and prognosis in colorectal carcinomas. A uniform classification system has been established recently. The natural element of uncertainty in the practice of human medicine is also exhibited in the assessment of tumour budding. We tested the hypothesis that interobserver variability can be estimated during the assessment process and investigated its potential clinical implication.
Methods And Results: Six investigators with different levels of experience could perceive different levels of difficulty (LOD) and estimated different levels of interobserver variability (LOIV) (Li1, lower than average; Li2, average; Li3, higher than average) during the assessment of tumour budding in 244 cases of colon cancer (pT3/4). In total, the LOIV showed following distribution: Li1: 36.1%, Li2: 43.9% and Li3: 20.0%. The LOIV was correlated significantly with the LOD given by the investigator. In total, the agreement rates with the final consensus classification were: Li1: 93.4%, Li2: 78.5% and Li3: 58.4%. The relative risk of disagreement with the final consensus classification was more than six times higher when a case was estimated to have a high rather than a low interobserver variability.
Conclusion: Our data show that the investigator can estimate the interobserver variability during the ongoing rating process in pT3/4 colon cancer. The LOIV/LOD seems to be a valuable parameter of the assessment quality. For Li3 cases further measures seem mandatory.
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http://dx.doi.org/10.1111/his.13698 | DOI Listing |
Surg Endosc
January 2025
Surgery Department, Meander Medical Centre, Maatweg, Amersfoort, 3818 TZ, Utrecht, The Netherlands.
Background: Specific pelvic bone dimensions have been identified as predictors of total mesorectal excision (TME) difficulty and outcomes. However, manual measurement of these dimensions (pelvimetry) is labor intensive and thus, anatomic criteria are not included in the pre-operative difficulty assessment. In this work, we propose an automated workflow for pelvimetry based on pre-operative magnetic resonance imaging (MRI) volumes.
View Article and Find Full Text PDFPathologica
October 2024
Biolab, PoliToBIOMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy.
Objective: Stain normalization is a technique used to standardize the color appearance of digital whole slide images (WSIs). This study aimed to assess the impact of digital stain normalization on prostate cancer diagnosis by pathologists.
Methods: A multi-institutional board of four pathologists evaluated 407 hematoxylin and eosin (H&E) prostate WSIs before and after stain normalization.
J Dent
December 2024
OMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven, Leuven, Belgium; Department of Dental Medicine, Karolinska Institute, Stockholm, Sweden. Electronic address:
Clin Ophthalmol
December 2024
Department of Ophthalmology, Cliniques Universitaires Saint Luc, UCL, Brussels, Belgium.
Purpose: This study aims to evaluate the inter-observer variability in assessing the optic disc in fundus photographs and its implications for establishing ground truth in AI research.
Methods: Seventy subjects were screened during a screening campaign. Fundus photographs were classified into normal (NL) or abnormal (GS: glaucoma and glaucoma suspects) by two masked glaucoma specialists.
PLoS One
December 2024
Department of Fundamental and Clinical Care Nursing, Hospitalet del Llobregat, Universitat de Barcelona, Campus de Bellvitge, Barcelona, Spain.
Objective: To analyse the interrater reliability of the NEUMOBACT checklist and verify whether consistent results are reproducible.
Methods: A validation study with a cross-sectional design, compliant with the GRRAS checklist, among ICU nurses attending a SIMULAZERO course with an Objective Structured Clinical Evaluation simulation format, to verify transfer from theory to clinical practice of knowledge and skills in ventilator-associated pneumonia (VAP) and catheter-related bacteraemia (CRB) prevention. A minimum sample size of 111 pairs of nurse raters was calculated.
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