Dose prediction of CyberKnife Monte Carlo plan for lung cancer patients based on deep learning: robust learning of variable beam configurations.

Background: Accurate calculation of lung cancer dose using the Monte Carlo (MC) algorithm in CyberKnife (CK) is essential for precise planning. We aim to employ deep learning to directly predict the 3D dose distribution calculated by the MC algorithm, enabling rapid and accurate automatic planning. However, most current methods solely focus on conventional intensity-modulated radiation therapy and assume a consistent beam configuration across all patients.

Three-dimensional dose prediction based on deep convolutional neural networks for brain cancer in CyberKnife: accurate beam modelling of homogeneous tissue.

Objectives: Accurate beam modelling is essential for dose calculation in stereotactic radiation therapy (SRT), such as CyberKnife treatment. However, the present deep learning methods only involve patient anatomical images and delineated masks for training. These studies generally focus on traditional intensity-modulated radiation therapy (RT) plans.

Enhancer of Zeste Homolog 2 Inhibitor SHR2554 in Relapsed or Refractory Peripheral T-cell Lymphoma: Data from the First-in-Human Phase I Study.

Purpose: Patients with peripheral T-cell lymphomas (PTCL) in the relapsed or refractory (r/r) setting have only a limited number of therapies available, and the prognosis is extremely poor. SHR2554 is an oral inhibitor against EZH2, a rational therapeutic target for lymphomas.

Patients And Methods: This was a multicenter, two-part, phase I study of SHR2554 in r/r mature lymphoid neoplasms.

Evaluation of the dual vascular supply patterns in ground-glass nodules with a dynamic volume computed tomography.

Background: In recent years, the detection rate of ground-glass nodules (GGNs) has been improved dramatically due to the popularization of low-dose computed tomography (CT) screening with high-resolution CT technique. This presents challenges for the characterization and management of the GGNs, which depends on a thorough investigation and sufficient diagnostic knowledge of the GGNs. In most diagnostic studies of the GGNs, morphological manifestations are used to differentiate benignancy and malignancy.

[Preliminary experience of surgical treatment for torus tubarius hypertrophy in children].

To assess the incidence of symptomatic torus tubarius hypertrophy (TTH) in recurred OSA in children, and to explore the preliminary experience of partial resection of TTH assisted with radiofrequency ablation. From January 2004 to February 2020, 4 922 children, who diagnosed as OSA and received adenotonsillectomy at the Department of Otolaryngology, The 4th Medical Center of the PLA General Hospital, were retrospectively reviewed. There were 3 266 males and 1 656 females, the age ranged from 1 to 14 years old(median age of 5.

Dose Prediction Using a Three-Dimensional Convolutional Neural Network for Nasopharyngeal Carcinoma With Tomotherapy.

Purpose: This study focused on predicting 3D dose distribution at high precision and generated the prediction methods for nasopharyngeal carcinoma patients (NPC) treated with Tomotherapy based on the patient-specific gap between organs at risk (OARs) and planning target volumes (PTVs).

Methods: A convolutional neural network (CNN) is trained using the CT and contour masks as the input and dose distributions as output. The CNN is based on the "3D Dense-U-Net", which combines the U-Net and the Dense-Net.

[Establishment of an auxiliary diagnosis system of newborn screening for inherited metabolic diseases based on artificial intelligence technology and a clinical trial].

To establish a disease risk prediction model for the newborn screening system of inherited metabolic diseases by artificial intelligence technology. This was a retrospectively study. Newborn screening data (5 907 547) from February 2010 to May 2019 from 31 hospitals in China and verified data (=3 028) from 34 hospitals of the same period were collected to establish the artificial intelligence model for the prediction of inherited metabolic diseases in neonates.

Classification of Achilles tendon shortening induced by scar contracture and corresponding treatment strategies for pediatric patients - A single unit experience.

Background: Achilles tendon shortening of pediatric patients caused by scar contracture poses a challenge for us. It always impairs walking function. In this article, we attempted to introduce a new classification of Achilles tendon shortening of pediatric patients and corresponding treatment strategies in our single center.

[Rapamycin in the treatment of renal diseases associated with tuberous sclerosis complex].

To investigate the efficacy and safety of rapamycin in children with tuberous sclerosis complex (TSC) associated renal disease. A prospective self-control study was conducted. The clinical data of 92 children diagnosed with tuberous sclerosis complex associated kidney disease at the People's Liberation Army General Hospital from January 2011 to January 2019 were collected.