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This systematic review aimed to compare postoperative pain in endodontic treatments using PIPS Er: YAG laser-activated irrigation (LAI) versus conventional needle irrigation. An electronic search was conducted to identify randomized clinical trials (RCT) investigating postoperative pain in patients who underwent root canal treatments in permanent teeth using PIPS Er: YAG laser-activated irrigation or conventional needle irrigation. Two reviewers performed study selection, data extraction, risk of bias assessment (RoB 2.

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Background: Healthcare-based social need screening and referral (S&R) among adult populations has produced equivocal results regarding social need resource connection.

Objective: Assess the efficacy of S&R on resource connection (primary outcome) and unmet need reduction (secondary outcome).

Design: Intention-to-treat randomized controlled trial.

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Masquelet technique combined with concentrated growth factors for the reconstruction of rabbit mandibular marginal bone defect.

Clin Oral Investig

January 2025

Fujian Key Laboratory of Oral Diseases & Stomatological Key lab of Fujian College and University, School and Hospital of Stomatology, Fujian Medical University, Fuzhou, Fujian Province, 350002, China.

Objective: Both the Masquelet technique (MT) and concentrated growth factors (CGF) reduce early graft loss and improve bone regeneration. This study aims to explore the efficacy of combining MT with CGF for mandibular defect repair by characterizing the induced membrane and assessing in vivo osteogenesis.

Materials And Methods: Three experimental groups were compared: negative control (NC), MT, and Masquelet combined with CGF (MTC).

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Purpose: To evaluate the effects of four-dimensional noise reduction filtering using a similarity algorithm (4D-SF) on the image quality and tumor visibility of low-dose dynamic computed tomography (CT) in evaluating breast cancer.

Materials And Methods: Thirty-four patients with 38 lesions who underwent low-dose dynamic breast CT and were pathologically diagnosed with breast cancer were enrolled. Dynamic CT images were reconstructed using iterative reconstruction alone or in combination with 4D-SF.

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While radiation hazards induced by cone-beam computed tomography (CBCT) in image-guided radiotherapy (IGRT) can be reduced by sparse-view sampling, the image quality is inevitably degraded. We propose a deep learning-based multi-view projection synthesis (DLMPS) approach to improve the quality of sparse-view low-dose CBCT images. In the proposed DLMPS approach, linear interpolation was first applied to sparse-view projections and the projections were rearranged into sinograms; these sinograms were processed with a sinogram restoration model and then rearranged back into projections.

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