Publications by authors named "Xiaohang Qin"
We aimed to develop a comprehensive proton relative biological effectiveness (RBE) model based on accumulated cell survival data in the literature. Our approach includes four major components: (1) Eligible cell survival data with various linear energy transfers (LETs) in the Particle Irradiation Data Ensemble (PIDE) database (72 datasets in four cell lines); (2) a cell survival model based on Poisson equation, with and defined as the ability to generate and repair damage, respectively, to replace the classic linear-quadratic model for fitting the cell survival data; (3) hypothetical linear relations of and on LET, or and ; and (4) a multi-curve fitting (MCF) approach to fit all cell survival data into the survival model and derive the , , , and values for each cell line. Dependences of these parameters on cell type were thus determined and finally a comprehensive RBE model was derived.
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- Hematologic toxicities (HTs) can lead to treatment disruptions in patients undergoing combined radiation therapy (RT) and immunotherapy for non-small cell lung cancer, making it important to understand RT's impact on HTs.
- A study with 132 patients found that specific dosimetric parameters from thoracic vertebral body (TVB) RT doses were significantly associated with grade ≥3 HTs, indicating a need for careful monitoring of RT dosages.
- The analysis revealed critical thresholds for RT doses, where exceeding them more than doubled the risk of developing severe HTs, affecting both lymphocyte counts and responses to immunotherapy.
Background: The goal was to investigate the feasibility of the registration generative adversarial network (RegGAN) model in image conversion for performing adaptive radiation therapy on the head and neck and its stability under different cone beam computed tomography (CBCT) models.
Methods: A total of 100 CBCT and CT images of patients diagnosed with head and neck tumors were utilized for the training phase, whereas the testing phase involved 40 distinct patients obtained from four different linear accelerators. The RegGAN model was trained and tested to evaluate its performance.
Background: To segment the pelvic active bone marrow (PABM) using magnetic resonance (MR) functional imaging and investigate the feasibility and dosimetric characteristics of cervical cancer proton radiotherapy for active bone marrow (ABM) sparing.
Methods: We collected CT and MR simulation images of 33 patients with cervical cancer retrospectively. The PBM was contoured on the MRI FatFrac images; the PBM was divided into high-active bone marrow (ABM-) and low-active bone marrow based on the fat content of the PBM.
Objectives: To quantify the dose-response relationship of changes in pelvic bone marrow (PBM) functional MR radiomic features (RF) during concurrent chemoradiotherapy (CCRT) for patients with cervical cancer and establish the correlation with hematologic toxicity to provide a basis for PBM sparing.
Methods: A total of 54 cervical cancer patients who received CCRT were studied retrospectively. Patients underwent MRI IDEAL IQ and T2 fat suppression (T2fs) scanning pre- and post-CCRT.
Objectives: To quantify the pelvic bone marrow (PBM) fat content changes receiving different radiation doses of concurrent chemoradiotherapy for cervical cancer and to determine association with peripheral blood cell counts.
Methods: The data of 54 patients were prospectively collected. Patients underwent MRI iterative decomposition of water and fat with echo asymmetrical and least squares estimation (IDEAL IQ) scanning at RT-Pre, RT mid-point, RT end, and six months.