3D Unsupervised deep learning method for magnetic resonance imaging-to-computed tomography synthesis in prostate radiotherapy.

Background And Purpose: Magnetic resonance imaging (MRI)-to-computed tomography (CT) synthesis is essential in MRI-only radiotherapy workflows, particularly through deep learning techniques known for their accuracy. However, current supervised methods are limited to specific center's learnings and depend on registration precision. The aim of this study was to evaluate the accuracy of unsupervised and supervised approaches in the context of prostate MRI-to-CT generation for radiotherapy dose calculation.

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report.

Radiation therapy plays a crucial role in cancer treatment, necessitating precise delivery of radiation to tumors while sparing healthy tissues over multiple days. Computed tomography (CT) is integral for treatment planning, offering electron density data crucial for accurate dose calculations. However, accurately representing patient anatomy is challenging, especially in adaptive radiotherapy, where CT is not acquired daily.

A deep learning model to generate synthetic CT for prostate MR-only radiotherapy dose planning: a multicenter study.

Introduction: For radiotherapy based solely on magnetic resonance imaging (MRI), generating synthetic computed tomography scans (sCT) from MRI is essential for dose calculation. The use of deep learning (DL) methods to generate sCT from MRI has shown encouraging results if the MRI images used for training the deep learning network and the MRI images for sCT generation come from the same MRI device. The objective of this study was to create and evaluate a generic DL model capable of generating sCTs from various MRI devices for prostate radiotherapy.

Computed tomography synthesis from magnetic resonance imaging using cycle Generative Adversarial Networks with multicenter learning.

Addressing the need for accurate dose calculation in MRI-only radiotherapy, the generation of synthetic Computed Tomography (sCT) from MRI has emerged. Deep learning (DL) techniques, have shown promising results in achieving high sCT accuracies. However, existing sCT synthesis methods are often center-specific, posing a challenge to their generalizability.

Contour-guided deep learning based deformable image registration for dose monitoring during CBCT-guided radiotherapy of prostate cancer.

Purpose: To evaluate deep learning (DL)-based deformable image registration (DIR) for dose accumulation during radiotherapy of prostate cancer patients.

Methods And Materials: Data including 341 CBCTs (209 daily, 132 weekly) and 23 planning CTs from 23 patients was retrospectively analyzed. Anatomical deformation during treatment was estimated using free-form deformation (FFD) method from Elastix and DL-based VoxelMorph approaches.

The medium-size noncoding RNA transcriptome of , the smallest living eukaryote, reveals a large family of small nucleolar RNAs displaying multiple genomic expression strategies.

The small nucleolar RNAs (snoRNAs), essential for ribosome biogenesis, constitute a major family of medium-size noncoding RNAs (mncRNAs) in all eukaryotes. We present here, for the first time in a marine unicellular alga, the characterization of the snoRNAs family in , the smallest photosynthetic eukaryote. Using a transcriptomic approach, we identified 131 snoRNAs (Ot-snoRNA) distributed in three classes: the C/D snoRNAs, the H/ACA snoRNAs and the MRP RNA.

Genome Analyses of the Microalga Picochlorum Provide Insights into the Evolution of Thermotolerance in the Green Lineage.

While the molecular events involved in cell responses to heat stress have been extensively studied, our understanding of the genetic basis of basal thermotolerance, and particularly its evolution within the green lineage, remains limited. Here, we present the 13.3-Mb haploid genome and transcriptomes of a halotolerant and thermotolerant unicellular green alga, Picochlorum costavermella (Trebouxiophyceae) to investigate the evolution of the genomic basis of thermotolerance.

Complete ring finger avulsion: Review of 16 years of cases at a Hand Emergency Unit.

Replanting complete ring avulsion injuries remains a challenge for hand surgeons. The prognosis depends on achieving satisfactory function. We present the results of our 16 years' experience with managing this type of injury.

A Viral Immunity Chromosome in the Marine Picoeukaryote, Ostreococcus tauri.

Micro-algae of the genus Ostreococcus and related species of the order Mamiellales are globally distributed in the photic zone of world's oceans where they contribute to fixation of atmospheric carbon and production of oxygen, besides providing a primary source of nutrition in the food web. Their tiny size, simple cells, ease of culture, compact genomes and susceptibility to the most abundant large DNA viruses in the sea render them attractive as models for integrative marine biology. In culture, spontaneous resistance to viruses occurs frequently.

[Total knee arthroplasty for recent severe fracture of the proximal tibial epiphysis in the elderly subject].

Purpose Of The Study: Bone comminution, serious cartilage damage, and the poor mechanical quality of osteoporotic bone create a difficult challenge for osteosynthesis of joint fractures in the elderly subject. Poor results with certain hip, elbow and shoulder fractures have lead certain authors to propose emergency arthroplasty in selected cases. We report our experience with four knee arthroplasties implanted for recent severe fracture of the proximal tibial epiphysis in elderly subjects.

[Conservative surgery in Kienbock's disease with perilunate arthrosis: articular resurfacing using resected carpal bones].

We present 2 cases of Kienböck's disease in which peri-lunate chondral lesions contra-indicated classical procedures such as proximal row carpectomy or 4 corner arthrodesis. A partial carpectomy provided us with an osteochondral graft, used to resurface the areas of chondral damage over the capitate or on the radius. The clinical and radiological result was stable at a follow-up of 3 and 6 years.