Quantitative susceptibility mapping via deep neural networks with iterative reverse concatenations and recurrent modules.

Background: Quantitative susceptibility mapping (QSM) is a post-processing magnetic resonance imaging (MRI) technique that extracts the distribution of tissue susceptibilities and holds significant promise in the study of neurological diseases. However, the ill-conditioned nature of dipole inversion often results in noise and artifacts during QSM reconstruction from the tissue field. Deep learning methods have shown great potential in addressing these issues; however, most existing approaches rely on basic U-net structures, leading to limited performances and reconstruction artifacts sometimes.

Efficacy and safety of integrating consolidative thoracic radiotherapy with immunochemotherapy in extensive-stage small cell lung cancer: a real-world retrospective analysis.

Background: Extensive-stage small cell lung cancer (ES-SCLC) remains a challenging malignancy with a poor prognosis. The integration of immunochemotherapy and combined consolidative thoracic radiotherapy (cTRT) presents a potential paradigm shift in treatment. This study aims to evaluate the real-world efficacy and safety of this approach.

Tislelizumab for consolidation therapy in patients with pathologically residual Esophageal Squamous Cell Carcinoma after definitive concurrent Chemoradiotherapy: a multicenter, randomized, controlled phase II trial.

Although concurrent Chemoradiotherapy (cCRT) is presently the standard intervention for patients with inoperable, locally advanced Esophageal Squamous Cell Carcinoma (ESCC), it has been associated with poor long-term survival outcomes. Notably, Immune Checkpoint Inhibitors (ICIs) improve the long-term survival of Esophageal Cancer (EC) patients, with manageable Adverse Effects (AEs). Herein, 90 patients with residual pathology after radical simultaneous Radiotherapy (RT) for inoperable/refused-to-operate ESCC were enrolled and randomized into two treatment groups (Chemotherapy+immunotherapy and chemotherapy alone) in a 2:1 ratio.

Thoracic Radiotherapy Improves the Survival in Patients With -Mutated Oligo-Organ Metastatic Non-Small Cell Lung Cancer Treated With Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitors: A Multicenter, Randomized, Controlled, Phase III Trial.

Purpose: This multicenter, randomized, phase III clinical trial (Northern Radiation Oncology Group of China-002) focused on patients with oligo-organ metastatic non-small cell lung cancer (NSCLC) who have epidermal growth factor receptor () mutations. We aimed to investigate whether first-line concurrent thoracic radiotherapy (TRT) and EGFR-tyrosine kinase inhibitors (TKIs), compared with TKIs alone, could achieve better survival.

Materials And Methods: The patients in the TKI plus TRT group received 60 Gy to primary lung tumor and positive regional lymph nodes.

Neoadjuvant radiation target volume definition in esophageal squamous cell cancer: a multicenter recommendations from Chinese experts.

Background: This study aimed to establish a consensus on the delineation of target volumes for neoadjuvant radiation therapy (nRT) in esophageal squamous cell carcinoma (ESCC) within China.

Methods: From February 2020 to June 2021, nine ESCC patients who received nRT were retrospectively selected from Sun Yat-sen University Cancer Center and Shandong Cancer Hospital. A panel from eight cancer radiotherapy centers performed two rounds of nRT target volume delineation for these patients: the first round for cases 1-6 and the second for cases 7-9.

Hydrochemical characteristics of abandoned coal mines derived acid mine drainage in a typical karst basin (Wuma river basin, Guizhou China).

The hydrochemical characteristics of acid mine drainage (AMD) were investigated in Wuma River Basin, China. AMD was sampled from nine closed coal mine (CCM) sites to study the temporal and spatial evolution of pH, dissolved oxygen (DO), electrical conductivity (ED), total hardness (THR), total dissolved salt (TDS), and trace elements. The surface water (river) and groundwater surrounding mine sites were sampled to evaluate the potential pollution derived from AMDs.

MH2AFormer: An Efficient Multiscale Hierarchical Hybrid Attention With a Transformer for Bladder Wall and Tumor Segmentation.

Achieving accurate bladder wall and tumor segmentation from MRI is critical for diagnosing and treating bladder cancer. However, automated segmentation remains challenging due to factors such as comparable density distributions, intricate tumor morphologies, and unclear boundaries. Considering the attributes of bladder MRI images, we propose an efficient multiscale hierarchical hybrid attention with a transformer (MH2AFormer) for bladder cancer and wall segmentation.

The therapeutic effect of radiotherapy combined with systemic therapy compared to radiotherapy alone in patients with simple brain metastasis after first-line treatment of limited-stage small cell lung cancer: a retrospective study.

Purpose: We aimed to compare the therapeutic effect of radiotherapy (RT) plus systemic therapy (ST) with RT alone in patients with simple brain metastasis (BM) after first-line treatment of limited-stage small cell lung cancer (LS-SCLC).

Methods: The patients were treated at a single center from January 2011 to January 2022. BM only without metastases to other organs was defined as simple BM.

Quantitative susceptibility mapping through model-based deep image prior (MoDIP).

The data-driven approach of supervised learning methods has limited applicability in solving dipole inversion in Quantitative Susceptibility Mapping (QSM) with varying scan parameters across different objects. To address this generalization issue in supervised QSM methods, we propose a novel training-free model-based unsupervised method called MoDIP (Model-based Deep Image Prior). MoDIP comprises a small, untrained network and a Data Fidelity Optimization (DFO) module.

Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks.

Quantitative susceptibility mapping (QSM) is a post-processing technique for deriving tissue magnetic susceptibility distribution from MRI phase measurements. Deep learning (DL) algorithms hold great potential for solving the ill-posed QSM reconstruction problem. However, a significant challenge facing current DL-QSM approaches is their limited adaptability to magnetic dipole field orientation variations during training and testing.

Accurate location describe and management of lymph node recurrence after esophagectomy for thoracic esophageal squamous cell carcinoma: a retrospective cohort study.

Background: Describe the accurate locations of lymph node recurrence (LNR) of Chinese patients with postoperative thoracic esophageal squamous cell carcinoma (ESCC) is essential for determining the need for further surveillance protocols and treatments. The authors aimed to evaluate the patterns of postoperative ESCC and its current risk stratification with LNR.

Methods: This population-based cohort study included a retrospective review of the medical records and image material of patients with ESCC who underwent LNR after radical surgery between January 2013 and September 2022, with a median follow-up time of 5.

Do higher radiation doses improve survival for cervical esophageal squamous cell cancer patients treated with definitive chemoradiotherapy using intensity-modulated radiotherapy? A propensity-score matched analysis.

Objective: This study was conducted to determine whether higher doses of intensity-modulated radiotherapy (IMRT) could improve the survival rate in patients of cervical esophageal squamous cell carcinoma (CESCC), and lead to more severe treatment-related toxicity.

Methods: The clinical records of stage I-IVA CESCC patients treated with definitive chemoradiotherapy (CRT) using IMRT between January 2013 and June 2018 were retrospectively analyzed. The patients in the high-dose (HD) group received ≥60 Gy and those in the standard-dose group received <60 Gy.

MM-SFENet: multi-scale multi-task localization and classification of bladder cancer in MRI with spatial feature encoder network.

. Bladder cancer is a common malignant urinary carcinoma, with muscle-invasive and non-muscle-invasive as its two major subtypes. This paper aims to achieve automated bladder cancer invasiveness localization and classification based on MRI.

Surgery versus radiotherapy for limited-stage small cell esophageal carcinoma: a multicenter, retrospective, cohort study in China (ChiSCEC).

Background: There is no standard management for small cell esophageal carcinoma (SCEC). The purpose of this multicenter, retrospective study (ChiSCER) was to investigate the treatment, outcomes, and risk factors impacting survival endpoints in patients with limited-stage SCEC (LS-SCEC).

Materials And Methods: Consecutive patients with LS-SCEC from 14 institutions between 2000 and 2020 in China were enrolled.

CT-based deep learning radiomics and hematological biomarkers in the assessment of pathological complete response to neoadjuvant chemoradiotherapy in patients with esophageal squamous cell carcinoma: A two-center study.

Purpose: To evaluate and validate CT-based models using pre- and posttreatment deep learning radiomics features and hematological biomarkers for assessing esophageal squamous cell carcinoma (ESCC) pathological complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT).

Material And Methods: This retrospective study recruited patients with biopsy-proven ESCC who underwent nCRT from two Chinese hospitals between May 2017 and May 2022, divided into a training set (hospital I, 111 cases), an internal validation set (hospital I, 47 cases), and an external validation set (hospital II, 33 cases). We used minimum redundancy maximum relevance (mRMR) and least absolute shrinkage and selection operator (LASSO) as feature selection methods and three classifiers as model construction methods.

Sintilimab as maintenance treatment for local/regional recurrent esophageal squamous carcinoma after concurrent chemoradiotherapy: a single-arm Ib/II phase study.

Background: Esophageal cancer (EC) is an aggressive neoplasm of the gastrointestinal tract that is usually treated with a combination of chemotherapy, radiotherapy (RT), and/or surgery, according to disease status. Despite the availability of multimodal therapeutic strategies, local recurrence is frequently observed. However, there is no standard treatment or promising therapeutic approach for local recurrence or metastatic esophageal carcinoma after the RT.

Increased glymphatic system activity in patients with mild traumatic brain injury.

Purpose: This study aims to investigate the glymphatic system activity changes in patients with mild traumatic brain injury (mTBI), particularly in MRI-negative patients, using analysis along the perivascular space (ALPS) technology.

Methods: A total of 161 mTBI patients (age: 15-92 years old) and 28 healthy controls (age: 15-84 years old) were included in this retrospective study. The mTBI patients were divided into MRI-negative and MRI-positive groups.

Distortion-corrected image reconstruction with deep learning on an MRI-Linac.

Purpose: MRI is increasingly utilized for image-guided radiotherapy due to its outstanding soft-tissue contrast and lack of ionizing radiation. However, geometric distortions caused by gradient nonlinearities (GNLs) limit anatomical accuracy, potentially compromising the quality of tumor treatments. In addition, slow MR acquisition and reconstruction limit the potential for effective image guidance.

Efficacy and safety comparison of PD-1 inhibitors PD-L1 inhibitors in extensive-stage small-cell lung cancer: a retrospective comparative cohort study.

Background: Evidence from clinical research and meta-analyses have suggested that programmed cell death 1 (PD-1) inhibitors and programmed cell death ligand 1 (PD-L1) inhibitors plus chemotherapy could achieve a significant survival benefit for extensive-stage small-cell lung cancer (ES-SCLC) patients. However clinical researches concerned about the comparation between the PD-1 and PD-L1 inhibitors were relatively lacking.

Methods: We collected the data of ES-SCLC patients treated with PD-1 inhibitors or PD-L1 inhibitors.

Affine transformation edited and refined deep neural network for quantitative susceptibility mapping.

Deep neural networks have demonstrated great potential in solving dipole inversion for Quantitative Susceptibility Mapping (QSM). However, the performances of most existing deep learning methods drastically degrade with mismatched sequence parameters such as acquisition orientation and spatial resolution. We propose an end-to-end AFfine Transformation Edited and Refined (AFTER) deep neural network for QSM, which is robust against arbitrary acquisition orientation and spatial resolution up to 0.

The effects of resistance exercise on body composition and physical function in prostate cancer patients undergoing androgen deprivation therapy: an update systematic review and meta-analysis.

Objective: The aim of the meta-analysis was to explore effects of resistance exercise (RE) on body composition and physical function in patients with prostate cancer (PCa).

Data Sources: We searched the electronic databases of Pubmed, Embase, Cochrane, and web of science. Published studies have been collected from these databases.

Quantitative Susceptibility Mapping Changes Relate to Gait Issues in Parkinson's Disease.

Background: Quantitative susceptibility mapping (QSM) demonstrates elevated iron content in Parkinson's disease (PD) patients within the basal ganglia, though it has infrequently been studied in relation to gait difficulties including freezing of gait (FOG). Our purpose was to relate QSM of basal ganglia and extra-basal ganglia structures with qualitative and quantitative gait measures in PD.

Methods: This case-control study included PD and cognitively unimpaired (CU) participants from the Comprehensive Assessment of Neurodegeneration and Dementia study.