Publications by authors named "RuiLiang Lu"

Article Synopsis
  • Developed a nomogram that combines clinical data with deep learning radiomics (DLR) from MRI to better predict lymph node metastasis in rectal cancer.
  • Analyzed data from 356 rectal cancer patients, using several machine learning algorithms, with logistic regression proving most accurate in predicting metastasis.
  • The CDLR nomogram showed high predictive performance, outperforming traditional clinical models by achieving AUC values of 0.921 in training and 0.818 in validation cohorts.
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Article Synopsis
  • The study aimed to evaluate how extracellular volume fraction (ECV) and arterial enhancement fraction (AEF) from enhanced CT can help distinguish between pleomorphic adenoma (PA) and atypical parotid adenocarcinoma (PCA) before surgery.
  • Researchers analyzed 187 cases of parotid tumors, using both clinical and CT image data to create different models for diagnosis, including combinations of clinical features with ECV and AEF.
  • Findings showed that the combined model (clinical features plus ECV and AEF) outperformed the clinical-only model in identifying the tumors, suggesting that including these CT-derived metrics enhances diagnostic accuracy.
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Introduction: Currently, the accurate evaluation and prediction of response to neoadjuvant chemotherapy (NAC) remains a great challenge. We developed several multivariate models based on baseline imaging features and clinicopathological characteristics to predict the breast pathologic complete response (pCR).

Methods: We retrospectively collected clinicopathological and imaging data of patients who received NAC and subsequent surgery for breast cancer at our hospital from June 2014 till September 2020.

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Deep learning has been extensively applied to segmentation in medical imaging. U-Net proposed in 2015 shows the advantages of accurate segmentation of small targets and its scalable network architecture. With the increasing requirements for the performance of segmentation in medical imaging in recent years, U-Net has been cited academically more than 2500 times.

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Breast cancer is a serious threat to women's physical and mental health. In recent years, its incidence has been on the rise and it has become the top female malignant tumor in China. At present, adjuvant chemotherapy for breast cancer has become the standard mode of breast cancer treatment, but the response results usually need to be completed after the implementation of adjuvant chemotherapy, and the optimization of the treatment plan and the implementation of breast-conserving therapy need to be based on accurate estimation of the pathological response.

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Purpose: To assess gross tumor regression and plasma Epstein-Barr virus (EBV)-DNA levels at the end of intensity-modulated radiation therapy (IMRT) and its prognostic impact on patients with nasopharyngeal carcinoma (NPC).

Participants And Methods: In total, 397 patients with non-metastatic, histologically confirmed NPC were retrospectively examined. All patients underwent magnetic resonance imaging of the nasopharynx and neck, and plasma EBV DNA assays before treatment and at the end of IMRT.

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Background: To observe the primary tumor (PT) regression speed after radiotherapy (RT) in nasopharyngeal carcinoma (NPC) and evaluate its prognostic significance.

Methods: One hundred and eighty-eight consecutive newly diagnosed NPC patients were reviewed retrospectively. All patients underwent magnetic resonance imaging and fiberscope examination of the nasopharynx before RT, during RT when the accumulated dose was 46-50 Gy, at the end of RT, and 3-4 months after RT.

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Background: To evaluate the prognostic value of maximum primary tumor diameter (MPTD) in nasopharyngeal carcinoma (NPC).

Methods: Three hundred and thirty-three consecutive, newly-diagnosed NPC patients were retrospectively reviewed. Kaplan-Meier analysis and the log-rank test were used to estimate overall survival (OS), failure-free survival (FFS), distant metastasis-free survival (DMFS) and local relapse-free survival (LRFS).

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Objectives: Diarrheal diseases remain a major human plague that still claim millions of lives every year. Probiotics, including Lactobacillus GG (LGG), are known to have a beneficial effect on diarrheal diseases, but their mechanism of action has not yet been completely established. Therefore, the main objective of this work was to identify and characterize moieties elaborated by LGG that exert antibacterial activity.

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Inflammatory myofibroblastic tumour (IMT) is a rare neoplasm. Generally, these lesions have a benign behaviour, but the possibility of malignant transformation exists. We report the rare case of a 43-year-old woman with metachronous IMTs in the spleen and the liver.

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AIM:To investigate the interaction of Zot with microtubule.METHODS:Zot affinity column was applied to purify Zot-binding protein(s) from crude intestinal cell lysates. After incubation at room temperature, the column was washed and the proteins bound to the Zot affinity column were eluted by step gradient with NaCl (0.

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Rabbits chronically implanted with permanent cannulae were used in brain perfusion and microinjection experiments. Potassium iontophoresis applied to the rabbits' ear skin served as a noxious stimulus and the electric current used to elicit the defense response was taken as the pain threshold. The brain perfusate was analysed by radioreceptor assay and the level of endogenous opioid peptides (EOP) was expressed as competition rate.

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