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Narrative review of long-standing groin pain in athletes. Retrospective analysis of over 12 000 patients.

Hernia

January 2025

Centro de Patología Herniaria Argentina, Cerviño 4449, 1425, Buenos Aires, Argentina.

Purpose: This article critically examines long-standing groin pain (LSGP) in physically active adults related to sports overload by analyzing terminology, pathophysiology, and treatment.

Method: This review is based on data from over 10,000 patients managed through a multidisciplinary algorithm. (LSGP) has been variably labeled, using terms that have led to inconsistencies in understanding its origin and management.

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Purpose: To compare the performance of ultrafast MRI with standard MRI in classifying histological factors and subtypes of invasive breast cancer among radiologists with varying experience.

Methods: From October 2021 to November 2022, this prospective study enrolled 225 participants with 233 breast cancers before treatment (NCT06104189 at clinicaltrials.gov).

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A Comprehensive Survey on the Integrity of Localization Systems.

Sensors (Basel)

January 2025

Inria-ASTRA Team, 48 Rue Barrault, 75013 Paris, France.

This survey extends and refines the existing definitions of integrity and protection level in localization systems (localization as a broad term, i.e., not limited to GNSS-based localization).

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Objective: Spinal fusion is a commonly performed surgical procedure used to relieve pain, deformity, and instability of various spinal pathologies. Although there have been attempts to standardize spinal fusion assessment radiologically, there is currently no unified definition that also considers clinical symptomology. This review attempts to create a more holistic and standardized definition of spinal fusion.

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Tracking biodiversity across biomes over space and time has emerged as an imperative in unified global efforts to manage our living planet for a sustainable future for humanity. We harness the National Ecological Observatory Network to develop routines using airborne spectroscopic imagery to predict multiple dimensions of plant biodiversity at continental scale across biomes in the US. Our findings show strong and positive associations between diversity metrics based on spectral species and ground-based plant species richness and other dimensions of plant diversity, whereas metrics based on distance matrices did not.

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