Publications by authors named "Siye Liu"

Background: The identification of the molecular subtypes of breast cancer is critical to determining appropriate treatment strategies and assessing prognosis. This study aimed to evaluate the ability of dual-layer spectral detector computed tomography (DLCT) metrics to differentiate luminal from nonluminal invasive breast cancer.

Methods: A total of 220 patients with invasive breast cancer who underwent routine DLCT examination were included in the study.

View Article and Find Full Text PDF

Purpose: Individual prognosis assessment is of paramount importance for treatment decision-making and active surveillance in cancer patients. We aimed to propose a radiomic model based on pre- and post-therapy MRI features for predicting disease-free survival (DFS) in locally advanced rectal cancer (LARC) following neoadjuvant chemoradiotherapy (nCRT) and subsequent surgical resection.

Methods: This retrospective study included a total of 126 LARC patients, which were randomly assigned to a training set (n = 84) and a validation set (n = 42).

View Article and Find Full Text PDF
Article Synopsis
  • The study aimed to assess the clinical accuracy of a remote sensing navigation alignment (RSNA) system in total knee arthroplasty (TKA) and its impact on postoperative recovery.
  • 60 patients with knee osteoarthritis were divided into two groups: one using RSNA and the other receiving traditional surgery, with evaluations based on functional recovery metrics like the WOMAC and Knee Society score.
  • Results indicated no serious complications in either group, and both were monitored for 6 months post-op, although specific comparative outcomes were not included in the provided text.
View Article and Find Full Text PDF
Article Synopsis
  • The study aimed to compare the effectiveness of robot-assisted (RA) versus remote sensing navigation alignment (RSNA) systems in total knee arthroplasty (TKA) for patients with severe knee osteoarthritis (KOA).
  • A total of 60 patients were divided into two groups, with each group consisting of 30 patients, and various clinical outcomes were measured, including operation time, incision length, and recovery scores (WOMAC and KSS) over a 6-month follow-up period.
  • Results showed that both groups had successful operations with no serious complications, but further details on the performance differences between RSNA and RA were not fully provided in the text.
View Article and Find Full Text PDF

Low-grade fibromyxoid sarcoma (LGFMS) is a rare soft tissue tumor composed of bland spindled cells in a variably fibrous to myxoid stroma. Its occurrence in the vulva region is rare, and thus, it may not be always taken into account in the differential diagnosis. Here, we describe a 34-year-old woman presented with a right vulvar mass and underwent complete surgical excision.

View Article and Find Full Text PDF

Objective: To compare computed tomography (CT)- and magnetic resonance imaging (MRI)-based multiparametric radiomics models and validate a multi-modality, multiparametric clinical-radiomics nomogram for individual preoperative prediction of lymph node metastasis (LNM) in rectal cancer (RC) patients.

Methods: 234 rectal adenocarcinoma patients from our retrospective study cohort were randomly selected as the training (n = 164) and testing (n = 70) cohorts. The radiomics features of the primary tumor were extracted from the non-contrast enhanced computed tomography (NCE-CT), the enhanced computed tomography (CE-CT), the T2-weighted imaging (T2WI) and the gadolinium contrast-enhanced T1-weighted imaging (CE-TIWI) of each patient.

View Article and Find Full Text PDF

Background: Multiple primary colorectal carcinoma (MPCC) is a rare clinical disease, which is challenging to differentiate from metastatic disease using histopathological methods. Next-generation sequencing (NGS) has been employed to identify multiple primary cancers.

Case Summary: This study a rare case of a 63-year-old male patient diagnosed with MPCC by targeted NGS, which was initially missed by radiological evaluation.

View Article and Find Full Text PDF

Background: To develop a radiomics model based on chest computed tomography (CT) for the prediction of a pathological complete response (pCR) after neoadjuvant or conversion chemoimmunotherapy (CIT) in patients with non-small cell lung cancer (NSCLC).

Methods: Patients with stage IB-III NSCLC who received neoadjuvant or conversion CIT between September 2019 and July 2021 at Hunan Cancer Hospital, Xiangya Hospital, and Union Hospital were retrospectively collected. The least absolute shrinkage and selection operator (LASSO) were used to screen features.

View Article and Find Full Text PDF

Although dermabrasion is widely used to treat various skin diseases and for scar repair, relatively few reports have described its use with burn wounds. As a blunt debridement, eschar dermabrasion has unique advantages. For patients with deep burns, the boundary between active tissue and inactive tissue is unclear.

View Article and Find Full Text PDF

Family history is an established risk factor for lung cancer. Previous studies have found that germline genetic alterations, such as those in , , , , , , , , , , , , and , are associated with an increased risk of developing lung cancer. The study reports the first of a lung adenocarcinoma proband with germline frameshift mutation c.

View Article and Find Full Text PDF

Rationale And Objectives: The 15%-27% of patients with locally advanced rectal cancer (LARC) achieved pathologic complete response (pCR) to neoadjuvant chemoradiotherapy (nCRT) and could avoid proctectomy. We aimed to investigate the effectiveness of treatment response prediction using MRI-based pre-, post-, and delta-radiomic features for LARC patients treated with nCRT and to compare these radiomic models with radiologists' visual assessment.

Materials And Methods: A total of 126 patients with LARC who received nCRT before surgery were included and randomly divided into a training set (n = 84) and a validation set (n = 42).

View Article and Find Full Text PDF

Purpose: To construct and validate a combined nomogram model based on magnetic resonance imaging (MRI) radiomics and Albumin-Bilirubin (ALBI) score to predict therapeutic response in unresectable hepatocellular carcinoma (HCC) patients treated with hepatic arterial infusion chemotherapy (HAIC).

Methods: The retrospective study was conducted on 112 unresectable HCC patients who underwent pretherapeutic MRI examinations. Patients were randomly divided into training (n = 79) and validation cohorts (n = 33).

View Article and Find Full Text PDF

This study aimed to investigate the relationship between promoter methylation () level and radiosensitivity of cervical cancer and its biological basis. This was a prospective multicenter clinical study, comprising two independent cohorts of locally advanced cervical cancer patients. Exfoliated cervical cells were collected at 0, 24, 30, 36, 48, and 64 Gy to test levels.

View Article and Find Full Text PDF

Objective: To establish and validate a radiomics nomogram based on the features of the primary tumor for predicting preoperative pathological extramural venous invasion (EMVI) in rectal cancer using machine learning.

Methods: The clinical and imaging data of 281 patients with primary rectal cancer from April 2012 to May 2018 were retrospectively analyzed. All the patients were divided into a training set (n = 198) and a test set (n = 83) respectively.

View Article and Find Full Text PDF

Objectives: To investigate the performance of the mean parametric values and texture features based on intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) on identifying pathological complete response (pCR) to neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC).

Methods: Pretreatment IVIM-DWI was performed on 41 LARC patients receiving nCRT in this prospective study. The values of IVIM-DWI parameters (apparent diffusion coefficient, ADC; pure diffusion coefficient, D; pseudo-diffusion coefficient, D* and perfusion fraction, f), the first-order, and gray-level co-occurrence matrix (GLCM) texture features were compared between the pCR (n = 9) and non-pathological responder (non-pCR, n = 32) groups.

View Article and Find Full Text PDF

Rationale And Objectives: Early identifying the long-term outcome of chemoradiotherapy is helpful for personalized treatment in nasopharyngeal carcinoma (NPC). This study aimed to investigate the prognostic significance of pretreatment quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for NPC.

Materials And Methods: The relationships between the prognosis and pretreatment quantitative DCE-MRI (K, K, V, and f) values of the primary tumors were analyzed in 134 NPC patients who received chemoradiotherapy.

View Article and Find Full Text PDF

The aim of the study was to investigative the utility of gray-level co-occurrence matrix (GLCM) texture analysis based on intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) for predicting the early response to chemoradiotherapy for nasopharyngeal carcinoma (NPC).Baseline IVIM-DWI was performed on 81 patients with NPC receiving chemoradiotherapy in a prospective nested case-control study. The patients were categorized into the residue (n = 11) and nonresidue (n = 70) groups, according to whether there was local residual lesion or not at the end of chemoradiotherapy.

View Article and Find Full Text PDF

A PHP Error was encountered

Severity: Warning

Message: fopen(/var/lib/php/sessions/ci_sessionagjoue2nakb93abb1hm4pgf3vq9eitne): Failed to open stream: No space left on device

Filename: drivers/Session_files_driver.php

Line Number: 177

Backtrace:

File: /var/www/html/index.php
Line: 316
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: session_start(): Failed to read session data: user (path: /var/lib/php/sessions)

Filename: Session/Session.php

Line Number: 137

Backtrace:

File: /var/www/html/index.php
Line: 316
Function: require_once