Jian Zhu

ORCID: 0000-0003-2257-4593
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About
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Research Areas
  • Advanced Radiotherapy Techniques
  • Medical Imaging Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Lung Cancer Diagnosis and Treatment
  • Advanced X-ray and CT Imaging
  • Radiation Therapy and Dosimetry
  • Esophageal Cancer Research and Treatment
  • Radiation Dose and Imaging
  • Breast Cancer Treatment Studies
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Brain Metastases and Treatment
  • Head and Neck Cancer Studies
  • Glioma Diagnosis and Treatment
  • AI in cancer detection
  • MRI in cancer diagnosis
  • Gastric Cancer Management and Outcomes
  • Thyroid and Parathyroid Surgery
  • Management of metastatic bone disease
  • Esophageal and GI Pathology
  • Endometrial and Cervical Cancer Treatments
  • Prostate Cancer Diagnosis and Treatment
  • Cancer Diagnosis and Treatment
  • Digital Radiography and Breast Imaging
  • Advanced Image Processing Techniques
  • Brain Tumor Detection and Classification

Shandong First Medical University
2016-2025

Shandong Tumor Hospital
2016-2025

Shandong University
2017-2025

General Hospital of Central Theater Command
2025

Anhui University of Science and Technology
2024

Qingdao University
2019-2023

Affiliated Hospital of Qingdao University
2019-2023

Tianjin University of Traditional Chinese Medicine
2023

Hong Kong Polytechnic University
2023

University of Jinan
2021

To assess the feasibility of texture analysis (TA) based on spectral attenuated inversion-recovery T2 weighted magnetic resonance imaging (SPAIR T2W-MRI) for classification hepatic hemangioma (HH), metastases (HM) and hepatocellular carcinoma (HCC). The SPAIR T2W-MRI data 162 patients with HH (n=55), HM (n=67) HCC (n=40) were retrospectively analyzed. We used two independent cohorts training (n = 112 patients) validation 50 patients). TA was performed textual parameters derived from gray...

10.1186/s12880-017-0212-x article EN cc-by BMC Medical Imaging 2017-07-13

Abstract Background Ki‐67 is a key marker of tumor proliferation. This study aimed to develop machine learning models using single‐ and multi‐parameter MRI radiomic features for the preoperative prediction expression in primary central nervous system lymphoma (PCNSL), aiding prognosis individualized treatment planning. Methods A retrospective analysis 74 patients was conducted scans, including T1, contrast‐enhanced T2, T2‐FLAIR, DWI, ADC sequences. Patients were categorized into...

10.1002/pro6.70005 article EN cc-by Precision Radiation Oncology 2025-03-18

Background: The reproducibility and non-redundancy of radiomic features are challenges in accelerating the clinical translation radiomics. In this study, we focused on robustness extracted from computed tomography (CT) scans hepatocellular carcinoma (HCC) patients with respect to different tumor segmentation methods. Methods: Arterial enhanced CT images were retrospectively randomly obtained 106 patients. As a training data set, 26 HCC used calculate features' redundancy. Another set (55 25...

10.21037/qims.2019.03.02 article EN Quantitative Imaging in Medicine and Surgery 2019-03-01

A large proportion of the patients with papillary thyroid microcarcinoma are young women. Therefore, minimally invasive endoscopic thyroidectomy central neck dissection (CND) emerged and showed well-accepted results improved cosmetic outcome, accelerated healing, comforting patients. This study aimed to evaluate safety effectiveness robotic total CND via bilateral axillo-breast approach (BABA), compared conventional open procedure in microcarcinoma.One-hundred from March 2014 January 2015...

10.4103/0366-6999.189911 article EN cc-by-nc-nd Chinese Medical Journal 2016-09-07

The present study constructed and validated models to predict PD-L1 CD8+TILs expression levels in esophageal squamous cell carcinoma (ESCC) patients using radiomics features clinical factors.This retrospective randomly assigned 220 ESCC a discovery dataset (n= 160) validation 60). A total of 462 were extracted from the segmentation regions interest (ROIs) based on pretreatment CT images each patient. LASSO algorithm was applied reduce dimensionality data select features. multivariable...

10.2147/ott.s261068 article EN OncoTargets and Therapy 2020-11-01

Deformable medical image registration estimates corresponding deformation to align the regions of interest (ROIs) two images a same spatial coordinate system. However, recent unsupervised models only have correspondence ability without perception, making misalignment on blurred anatomies and distortion task-unconcerned backgrounds. Label-constrained (LC) embed perception via labels, but lack texture constraints in labels expensive labeling costs causes internal ROIs overfitted perception. We...

10.1109/jbhi.2021.3095409 article EN IEEE Journal of Biomedical and Health Informatics 2021-07-07

To identify predictors of acute and late rectal toxicity following prostate cancer radiotherapy (RT), while integrating the potential impact RT technique, dose escalation, moderate hypofractionation, thus enabling us to generate a nomogram for individual prediction.In total, 972 patients underwent localized cancer, total 70 Gy or 80 Gy, using two different fractionations (2 2.5 Gy/day), by means several techniques (3D conformal [3DCRT], intensity-modulated [IMRT], image-guided [IGRT])....

10.1371/journal.pone.0179845 article EN cc-by PLoS ONE 2017-06-22

To perform a dosimetric evaluation of four different simultaneous integrated boost whole brain radiotherapy modalities with hippocampus and inner ear avoidance in the treatment limited metastases. Computed tomography/magnetic resonance imaging data 10 patients (1–5) metastases were used to replan step-and-shoot intensity-modulated (sIMRT), dynamic radiation therapy (dIMRT), volumetric-modulated arc (VMAT), helical tomotherapy (Tomo). The prescribed doses 40–50 Gy fractions 30 simultaneously...

10.1186/s13014-019-1255-7 article EN cc-by Radiation Oncology 2019-03-15

The procedure for thoracoscopic and laparoscopic radical resection of esophageal cancer is complicated, so the operation time long, which can easily negatively affect self-confidence young thoracic surgeons. This retrospective cohort study aimed to improve surgeons' understanding this type surgery by analyzing learning curve. From October 2017 August 2018, 64 patients who underwent a single team were reviewed study. These divided into four groups according date operation. baseline data,...

10.1186/s12893-025-02800-4 article EN cc-by-nc-nd BMC Surgery 2025-03-21

The aim of the study was to evaluate total parathyroidectomy with trace amounts parathyroid tissue (30 mg) as a surgical option in secondary hyperparathyroidism (sHPT) treatment. From January 2008 March 2012, 47 patients underwent parathyroidectomy. Comparisons demographic data, symptoms, and preoperative or postoperative biochemistry were made between autotransplantation group group. Out cases, 45 had successful operation. 187 glands identified at initial operation reported patients. 43...

10.1186/1471-2482-14-26 article EN cc-by BMC Surgery 2014-05-05

To evaluate the feasibility and safety of robotic lateral cervical lymph node dissection via BABA, 260 thyroid cancer patients with suspected level II, III, IV, Vb metastasis were selected. The compartment was exposed by splitting sternocleidomastoid muscle longitudinally, separating between strap muscles anterior margin muscle. procedure completed in patients. Mean time for took 80 ± 21 min. wound catheter removed 6.3 days. Postoperative transient symptomatic hypocalcemia observed 51...

10.1007/s11701-019-00986-3 article EN cc-by Journal of Robotic Surgery 2019-06-20

The accuracy of the dose on chest wall in postoperative radiotherapy for breast cancer is critical clinicians and patients. objective this study was to evaluate superficial patients undergoing after radical mastectomy using deep inspiration breath-hold (DIBH) free breathing (FB) investigate effects respiratory amplitude an anthropomorphic phantom. Thirty with left-breast were prospectively enrolled before radiotherapy. During computed tomography (CT) simulation, half treated DIBH FB. All...

10.21037/qims-24-64 article EN Quantitative Imaging in Medicine and Surgery 2025-01-24

Early and accurate identification of epidermal growth factor receptor (EGFR) mutation status in non-small cell lung cancer (NSCLC) patients with brain metastases is critical for guiding targeted therapy. This study aimed to develop a deep learning radiomics model utilizing multi-sequence magnetic resonance imaging (MRI) differentiate between EGFR mutant type (MT) wild (WT). In this retrospective study, 288 NSCLC confirmed were enrolled, including 106 MT 182 WT. All randomly divided into...

10.1186/s12885-025-13823-8 article EN cc-by-nc-nd BMC Cancer 2025-03-12
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