Publications by authors named "Zai-Yi Liu"

Article Synopsis
  • This study developed a stacking model to predict how axillary lymph nodes respond to neoadjuvant chemotherapy in breast cancer, utilizing MRI data.
  • The analysis involved 1,153 patients, with the model showing strong accuracy in distinguishing responses and a notably lower false-negative rate compared to traditional radiologists.
  • Results indicated significant differences in disease-free survival between high-risk and low-risk groups, suggesting the model's potential for enhancing patient outcomes post-chemotherapy.
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Accurate diagnosis and prognosis prediction are conducive to early intervention and improvement of medical care for natural killer/T cell lymphoma (NKTCL). Artificial intelligence (AI)-based systems are developed based on nasopharynx magnetic resonance imaging. The diagnostic systems achieve areas under the curve of 0.

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Article Synopsis
  • This study aims to create an AI system that predicts residual cancer burden (RCB) scores in breast cancer patients undergoing neoadjuvant chemotherapy (NAC), as early detection of drug resistance is currently inadequate.
  • Data was collected from 1,048 patients across four institutions, using MRI scans taken pre- and mid-NAC, to develop a multitask AI model that categorizes patients into three RCB groups based on advanced feature analysis.
  • The AI system demonstrated high accuracy, with area under the curve (AUC) values above 0.90 in differentiating between RCB scores, indicating its potential as a noninvasive decision-making tool in clinical settings.
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Purpose: To evaluate the potential application of radiomics in predicting Tumor-Node-Metastasis (TNM) stage in patients with resectable esophageal squamous cell carcinoma (ESCC).

Methods: This retrospective study included 122 consecutive patients (mean age, 57 years; 27 women). Corresponding tumor of interest was identified on axial arterial-phase CT images with manual annotation.

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  • The study aimed to develop and validate the immune ecosystem diversity index (iEDI) as a non-invasive imaging biomarker to assess intratumoural immune status in non-small cell lung cancer (NSCLC).
  • Researchers analyzed two independent cohorts of NSCLC patients, measuring T cell densities and using preoperative CT scans to correlate with patient survival outcomes.
  • Results showed that higher iEDI scores were associated with longer overall survival, indicating its potential as a prognostic tool for NSCLC patients undergoing surgery.
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Purpose: We aimed to explore the influence of tube voltage, current and iterative reconstruction (IR) in computed tomography perfusion imaging (CTPI) and to compare CTPI parameters with microvessel density (MVD).

Methods: Hepatic CTPI with three CTPI protocols (protocol A, tube voltage/current 80 kV/40 mAs; protocol B, tube voltage/current 80 kV/80 mAs; protocol C: tube voltage/current 100 kV/80 mAs) were performed in 25 rabbit liver VX2 tumor models, and filtered back projection (FBP) and IR were used for reconstruction of raw data. Hepatic arterial perfusion (HAP), hepatic portal perfusion (HPP), total perfusion (TP), hepatic arterial perfusion index (HPI), blood flow (BF) and blood volume (BV) of VX2 tumor and normal hepatic parenchyma were measured.

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This study aimed to develop and validate a nomogram for predicting 3-year disease-free survival (DFS) among a multicenter cohort of Chinese patients with locally advanced rectal cancer (LARC) who underwent preoperative therapy followed by surgery. This nomogram might help identify patients who would benefit from postoperative adjuvant chemotherapy and close follow-up. All data from 228 patients in two independent Chinese cohorts (118 patients and 110 patients) were pooled and subjected to survival analysis.

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Background: Computed tomography (CT) is essential for pulmonary nodule detection in diagnosing lung cancer. As deep learning algorithms have recently been regarded as a promising technique in medical fields, we attempt to integrate a well-trained deep learning algorithm to detect and classify pulmonary nodules derived from clinical CT images.

Materials And Methods: Open-source data sets and multicenter data sets have been used in this study.

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Object: To explore microcirculation features with intravoxel incoherent motion (IVIM) and to compare IVIM with CT perfusion imaging (CTPI) and microvessel density (MVD).

Materials And Methods: Hepatic CTPI and IVIM were performed in 16 rabbit liver VX2 tumor models. Hepatic arterial perfusion (HAP), hepatic arterial perfusion index (HPI), Blood flow (BF), and blood volume (BV) from CTPI were measured.

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Purpose: To develop and validate a radiomics nomogram for preoperative prediction of lymph node (LN) metastasis in patients with colorectal cancer (CRC).

Patients And Methods: The prediction model was developed in a primary cohort that consisted of 326 patients with clinicopathologically confirmed CRC, and data was gathered from January 2007 to April 2010. Radiomic features were extracted from portal venous-phase computed tomography (CT) of CRC.

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Article Synopsis
  • The study aimed to assess how effective mammography, CT, and DCE-MRI are at detecting axillary lymph node metastasis in breast cancer patients.
  • A total of 109 women underwent these imaging tests, and their results were compared against histopathological assessments, which are considered the gold standard.
  • DCE-MRI outperformed both CT and mammography in accuracy and sensitivity for diagnosing lymph node metastasis, while mammography showed significantly lower effectiveness, suggesting caution when using it alone for this purpose.
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Objective: To confirm feasibility and assess intravoxel incoherent motion (IVIM) to differentiate active sacroiliitis and ankylosing spondylitis..

Methods: Forty-one patients were divided into two groups, an active group (n = 20) and a chronic group (n = 21), according to the Bath Ankylosing Spondylitis (AS) Disease Activity Index (BASDAI) and laboratory parameters.

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Background: Iterative model reconstruction (IMR) is a newer generation iterative reconstruction method, but its value on coronary computed tomography (CT) angiography requires investigation.

Purpose: To evaluate coronary image quality using IMR at a low-tube voltage of 80 kVp on coronary CT angiography in miniature pigs.

Material And Methods: Five healthy miniature pigs underwent prospective electrocardiogram-gated coronary 256-slice CT angiography at 120 kVp and 80 kVp tube voltages, respectively.

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Purpose: To determine the correlation between intravoxel incoherent motion (IVIM) and dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) parameters.

Methods: Thirty-eight newly diagnosed NPC patients were prospectively enrolled. Diffusion-weighted images (DWI) at 13 b-values were acquired using a 3.

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We investigated whether transplantation of bone marrow mesenchymal stem cells (BMSC) with induced BMSC (iBMSC) or uninduced BMSC (uBMSC) into the myocardium could improve the performance of post-infarcted rat hearts. BMSCs were specified by flowcytometry. IBMSCs were cocultured with rat cardiomyocyte before transplantation.

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Objective: To analyze the CT/MRI features of Castleman's disease of the abdomen and pelvis.

Methods: CT/MRI images of 6 cases of pathologically confirmed Castleman's disease of the abdomen and pelvis were retrospectively reviewed. All the patients received plain CT scan and dynamic enhanced scan, and one had an additional MR scan.

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Objective: To evaluate the apparent diffusion coefficient (ADC) value features of the lesions after transcatheter arterial chemoembolization (TACE) plus radiofrequency ablation in hepatocellular carcinoma (HCC) with 3.0T magnetic resonance imaging (MRI) and diffusion-weight imaging (DWI) and analyze the value of 3.0T DWI in detecting the pathological lesion features of post-TACE plus radiofrequency ablation in HCC.

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Objective: To explore the computed tomography (CT) and magnetic resonance imaging (MRI) features of desmoid-type fibromatosis, and improve the diagnostic accuracy and understanding of the disease.

Methods: The CT and MRI features of 18 cases of surgically and pathologically confirmed desmoid-type fibromatosis were reviewed retrospectively. Among the patients, 10 received CT pre- and post-contrast scanning, and 8 patients had MRI pre- and post-contrast scanning.

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Objective: The objective of our study was to clarify the anatomic and radiologic features of the extraperitoneal fasciae and fascial spaces associated with the rectum.

Materials And Methods: Fourteen embalmed cadavers were studied: two for gross anatomy; six for sectional anatomy, of which two underwent histologic study; and six for space perfusion study. These examinations were followed by CT and cross dissection to observe the pelvic extraperitoneal fasciae and the role of the fasciae in the anatomic subdivision and communication of the fascial spaces.

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Objective: To compare the efficacy of transplanting bone marrow mesenchymal stem cell (BMSC) or microenvironmental induced BMSC (iBMSC) into the ischemic myocardium of rats with myocardial infarction.

Methods: iBMSC was defined as BMSC co-cultured with myocardial cells for 2 weeks. The stem cells or equal volume PBS were injected into ischemic border zone 1 wk after experimental infarction.

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Objective: To investigate the alteration of apparent diffusion coefficient (ADC) in diffusion-weighted MR imaging (MR-DWI) of liver fibrosis and its pathological basis in rabbits.

Methods: Five rabbits in the control group and 22 with experimental liver fibrosis induced by transperitoneal injection of carbon tetrachloride (CCl4) were examined with MR-DWI. Diffusion-weighted SE EPI sequence with a relatively high b factor (b=600 s/mm2) was used to measure the ADC.

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Purpose: To investigate the feasibility of magnetically labeling stem cells with superparamagnetic iron oxide (SPIO) by means of microbubble-enhanced ultrasonographic (US) exposure (MUE) and to study the effects of this approach--without secondary transfection agents--on the viability, proliferation activity, and differentiation capability of MUE-labeled stem cells.

Materials And Methods: Institutional review board approval was obtained for this study. Human mesenchymal stem cells (MSCs) ([1 to 2] x 10(6)/mL) were studied in four experiment groups: sham exposure to US with microbubbles and SPIO (group A), exposure to US with SPIO but without microbubbles (group B), exposure to US with microbubbles and SPIO (group C), and sham exposure to US without SPIO or microbubbles (group D).

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Objective: To investigate the feasibility of in vivo magnetic resonance imaging (MRI) tracking of transplanted adipose-derived stem cells (ADSCs) labeled with superparamagnetic iron oxide (SPIO) in rat heart.

Methods: ADSCs were labeled with poly-L-lysine (PLL)-SPIO complexes. Intracellular iron uptake was identified by Prussian blue stain and transmission electromicroscopy.

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