A Deep Learning Model Enhances Clinicians' Diagnostic Accuracy to More Than 96% for Anterior Cruciate Ligament Ruptures on Magnetic Resonance Imaging.

Purpose: To develop a deep learning model to accurately detect anterior cruciate ligament (ACL) ruptures on magnetic resonance imaging (MRI) and to evaluate its effect on the diagnostic accuracy and efficiency of clinicians.

Methods: A training dataset was built from MRIs acquired from January 2017 to June 2021, including patients with knee symptoms, irrespective of ACL ruptures. An external validation dataset was built from MRIs acquired from January 2021 to June 2022, including patients who underwent knee arthroscopy or arthroplasty.

BgNet: Classification of benign and malignant tumors with MRI multi-plane attention learning.

Objectives: To propose a deep learning-based classification framework, which can carry out patient-level benign and malignant tumors classification according to the patient's multi-plane images and clinical information.

Methods: A total of 430 cases of spinal tumor, including axial and sagittal plane images by MRI, of which 297 cases for training (14072 images), and 133 cases for testing (6161 images) were included. Based on the bipartite graph and attention learning, this study proposed a multi-plane attention learning framework, BgNet, for benign and malignant tumor diagnosis.

Application of Magnetic Resonance Imaging in Neoadjuvant Treatment of Pancreatic Ductal Adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest malignant tumors of the human digestive system. Due to its insidious onset, many patients have already lost the opportunity for radical resection upon tumor diagnosis. In recent years, neoadjuvant treatment for patients with borderline resectable PDAC has been recommended by multiple guidelines to increase the resection rate of radical surgery and improve the postoperative survival.

Predicting postoperative recovery in cervical spondylotic myelopathy: construction and interpretation of T-weighted radiomic-based extra trees models.

Objectives: Conventional MRI may not be ideal for predicting cervical spondylotic myelopathy (CSM) prognosis. In this study, we used radiomics in predicting postoperative recovery in CSM. We aimed to develop and validate radiomic feature-based extra trees models.

Optimal machine learning methods for radiomic prediction models: Clinical application for preoperative T*-weighted images of cervical spondylotic myelopathy.

Introduction: Predicting the postoperative neurological function of cervical spondylotic myelopathy (CSM) patients is generally based on conventional magnetic resonance imaging (MRI) patterns, but this approach is not completely satisfactory. This study utilized radiomics, which produced advanced objective and quantitative indicators, and machine learning to develop, validate, test, and compare models for predicting the postoperative prognosis of CSM.

Materials And Methods: In total, 151 CSM patients undergoing surgical treatment and preoperative MRI was retrospectively collected and divided into good/poor outcome groups based on postoperative modified Japanese Orthopedic Association (mJOA) scores.

Utility of Advanced DWI in the Detection of Spinal Cord Microstructural Alterations and Assessment of Neurologic Function in Cervical Spondylotic Myelopathy Patients.

Background: Diffusion-weighted imaging (DWI) can quantify the microstructural changes in the spinal cord. It might be a substitute for T2 increased signal intensity (ISI) for cervical spondylotic myelopathy (CSM) evaluation and prognosis.

Purpose: The purpose of the study is to investigate the relationship between DWI metrics and neurologic function of patients with CSM.

[Applications of Artificial Intelligence in Musculoskeletal System Imaging].

Artificial intelligence (AI) represents the latest wave of computer revolution and is considered revolutionary technology in many industries including healthcare. AI has been applied in medical imaging mainly due to the improvement of computational learning,big data mining,and innovations of neural network architecture. AI can improve the efficiency and accuracy of imaging diagnosis and reduce medical cost;also,it can be used to predict the disease risk.

Association of atherosclerotic plaque features with collateral circulation status in elderly patients with chronic carotid stenosis.

Objective: To determine the association of carotid plaque features with collateral circulation status in elderly patients with moderate to severe carotid stenosis.

Methods: Elderly patients (> 60 years) with moderate to severe carotid stenosis were recruited and categorized into good and poor collateral circulation groups, and underwent magnetic resonance imaging and computed tomography imaging. The carotid plaque features including lipid-rich necrotic core, intraplaque hemorrhage, calcification, and fibrous cap rupture (FCR) were evaluated, and maximum wall thickness, normalized wall index (NWI), and luminal stenosis were measured.

A Prospective Randomized Multicenter Controlled Trial on Salvianolate for Treatment of Unstable Angina Pectoris in A Chinese Elderly Population.

Objective: To evaluate the efficacy and safety of salvianolate in elderly patients with unstable angina pectoris (UAP).

Methods: A prospective double-blind randomized placebo-controlled multicenter trial in elderly patients with UAP from 13 third-grade class-A hospitals in China was performed. A total of 318 patients were randomly allocated in a 1:1 ratio to an experimental group (160 patients) and a control group (158 patients).

[Value of Diffusion-weighted Imaging in Evaluating the Activity of Sacroiliitis in Ankylosing Spondylitis].

Objective To investigate the clinical value of diffusion-weighted imaging (DWI) for evaluating the activity of sacroiliitis in ankylosing spondylitis (AS).Methods Totally 73 AS patients were prospectively enrolled and divided into active group (n=43) and chronic group (n=30) according to Bath ankylosing spondylitis disease activity index (BASDAI) scores and laboratory findings. Conventional magnetic resonance imaging (MRI) and DWI were performed in all subjects.

Intraosseous schwannoma of the mobile spine: a report of twenty cases.

Purpose: To clarify the clinical features, surgical strategies, and outcomes of intraosseous schwannoma (IOS) of the mobile spine.

Methods: We retrospectively reviewed patients with primary benign spinal schwannoma who underwent surgery in our orthopedic department.

Results: A total of 101 patients with primary benign schwannoma located in the mobile spine underwent surgery in our orthopedic department from 2005 to 2015.

Clinical features and treatment outcomes of Langerhans cell histiocytosis of the spine.

Background Context: Langerhans cell histiocytosis (LCH) of the spine is a relatively rare condition with unknown etiology. The diagnosis and treatment protocols for spine LCH remain controversial.

Purpose: In this study, we evaluated the efficacy and safety of our proposed diagnosis and treatment protocol introduced in 2009.

Preoperative Evaluation of the Grade and Stability of Osteochondritis Dissecans of the Knee by Magnetic Resonance Imaging.

Objective To assess the diagnostic performance of magnetic resonance imaging (MRI) in the grading of osteochondritis dissecans (OCD) of the knee.Methods Totally 47 patients with OCD of the knee confirmed by arthroscopy were retrospectively enrolled in this study.The OCD lesions were classified into four stages according to classification system of the International Cartilage Repair Society.

Comparison of FSE T2 W PROPELLER and 3D-FIESTA of 3 T MR for the internal auditory canal.

Objective: The study compared the use of periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) technique fast spin echo (FSE) T2 W and the sequence of three-dimensional fast imaging employing steady-state acquisition (3D-FIESTA) technique in the MRI of the internal auditory canal for overall image quality improvement.

Materials And Methods: One hundred thirty-two patients undergoing FSE T2 W PROPELLER and 3D-FIESTA examinations of the internal auditory canal were included. All examinations were performed at 3.

Percutaneous radiofrequency ablation for spinal osteoid osteoma and osteoblastoma.

Purposes: We sought to verify the efficacy and safety of RFA in spinal OO and osteoblastomas (OB) (Enneking Stage 2, S2).

Methods: We retrospectively reviewed patients treated in our hospital. Surgical resection was indicated for Enneking Stage 3 OB.

Significance of Diffusion Tensor Imaging of Vastus Medialis Oblique in Recurrent Patellar Dislocation.

Background: Numerous studies have investigated the influence of osseous factors on patellofemoral joint instability, but research on the influence of dynamic muscle factors in vivo is still in the exploratory stage. This study aimed to use magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) to evaluate vastus medialis oblique (VMO) fiber bundles in patients with recurrent patellar dislocation to explore the changes in muscle morphology and function.

Methods: This prospective study involved 30 patients (7 males and 23 females; average age, 21.

A Volumetric and Functional Connectivity MRI Study of Brain Arginine-Vasopressin Pathways in Autistic Children.

Dysfunction of brain-derived arginine-vasopressin (AVP) systems may be involved in the etiology of autism spectrum disorder (ASD). Certain regions such as the hypothalamus, amygdala, and hippocampus are known to contain either AVP neurons or terminals and may play an important role in regulating complex social behaviors. The present study was designed to investigate the concomitant changes in autistic behaviors, circulating AVP levels, and the structure and functional connectivity (FC) of specific brain regions in autistic children compared with typically developing children (TDC) aged from 3 to 5 years.

Computed Tomography and Magnetic Resonance Manifestations of Spinal Pigmented Villonodular Synovitis.

Objective: To study computed tomography (CT) and magnetic resonance imaging (MRI) findings of spinal pigmented villonodular synovitis (PVNS), with the aim of improving diagnostic accuracy.

Methods: Findings from CT (n = 7) and MRI (n = 5) of 7 cases of spinal PVNS, diagnosed by pathological examination, were retrospectively analyzed.

Results: One case presented with a small lesion, whereas the remaining 6 cases showed lobulated soft tissue masses centering on the facet joints, with lytic expansive destruction of the bone.

[Value of multiple b-value diffusion-weighted imaging for differentiation of benign and malignant pulmonary masses].

Objective: To explore the value of multiple b-value diffusion-weighted imaging (DWI) for differentiation of benign and malignant pulmonary masses.

Methods: Thirty-eight patients were examined by routine sequences and DWI pulse sequence. DWI was acquired through a single-shot echo-planar imaging combined with a respiratory-triggered mode and parallel acquisition.

Diagnosis and treatment of vertebral hemangiomas with neurologic deficit: a report of 29 cases and literature review.

Background Context: Vertebral hemangiomas (VHs) are called benign tumors but are actually just vascular malformations. The diagnosis and treatment for aggressive VHs is still controversial, due to their rarity.

Purpose: To evaluate the safety and efficiency of the present diagnostic methods and treatment choices.

[Effect of tube voltage on digital chest radiograph for phantom and occupational exposed workers].

Objective: To explore the image quality of different tube voltage on digital chest radiograph for contrast detail phantom (CDRAD2.0) and occupational exposed workers.

Methods: The CDRAD2.

[Effect of digital radiography processing parameters on digital chest radiograph for occupational exposed workers].

Objective: To investigate the effect of different processing parameters of digital radiography (DR) on the image quality of digital chest radiograph in dust-exposed workers.

Methods: One hundred and five dust-exposed workers underwent both high-KV radiography and DR to obtain chest radiographs; the image processing parameters were set by the conventional processing method for digital chest radiograph (method A) and the processing method based on the special requirements of occupational diseases (method B). With the high-KV chest radiograph as the reference, the image qualities at 10 anatomic sites of DR image were graded.

Tri-planar computed tomographic projection of three segments of the middle turbinate in a Chinese population.

To investigate the exact anatomical characteristics and variations of three segments of middle turbinate bones in a Chinese population using Tri-planar computed tomographic (CT) projections. The axial, sagittal, and coronal thin-slice reconstructed CT images of the middle turbinate were obtained from 200 bones of 100 normal adult Chinese subjects (54 males and 46 females). The middle turbinate bones were divided into three segments: vertical, basal lamella, and horizontal.