课题:

1. 潘亚玲。基于MIXED Transformer和DS-TransUNet构建嵌入椎旁肌退变量化模块的体内校准骨密度模型检测骨质疏松的可行性研究82302303国家自然科学青年基金2024.01-2026.12

2. 马燕青。基于 CT 智能影像的非实性肺结节自然生长史预测早期肺癌侵袭性 LTGY24H180017浙江省自然科学基金探索公益2024.01.01-2026.12.31

3. 温学花。基于双模态报告基因成像探讨 CDK20 调控间充质干细胞治疗缺血性脑卒中的作用及机制研究 Q24H180032 浙江省基础公益研究计划2024.01.01-2026.12.31

4. 温学花。基于术前影像组学预测颈动脉粥样硬化狭窄患者颈动脉内膜切除术后脑部并发症的应用研究 2024KY656 浙江省卫生健康科技计划 2024.01.01-2026.12.31

5. 王亚捷。基于深度学习及多模态影像组学预测围绝经期女性骨质疏松的临床多因素研究 2024KY625 浙江省卫生健康科技计划 2024.01.01-2026.12.31

6. 林春苗。MRI影像组学联合血浆循环肿瘤DNA精准预测肝细胞肝癌微血管浸润及其危险程度分级的预测模型及临床价值评估研究 2024KY716 浙江省医药卫生科技计划项目 2024.01.01-2026.12.31

7. 曹芳。基于多时相ASL 评估肾脏微循环灌注与IgAN 早期病理损伤和功能改变的相关性研究 2024KY724 浙江省医药卫生科技计划项目2024.01.01-2026.12.31

8. 叶琴。联合深度学习和动态MRI 定量分析髌骨不稳运动学特征的可行性研 2024KY778 浙江省医药卫生科技计划项目2024.01.01-2026.12.31

文章

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2. Gu X, Shu Z, Zheng X, Wei S, Ma M, He H, Shi Y, Gong X, Chen S, Wang X. A novel CT-responsive hydrogel for the construction of an organ simulation phantom for the repeatability and stability study of radiomic features. J Mater Chem B. 2023 Nov 29;11(46):11073-11081. doi: 10.1039/d3tb01706k. PMID: 37986572. 【7】

3. Zhong X, Peng J, Shu Z, Song Q, Li D. Prediction of p53 mutation status in rectal cancer patients based on magnetic resonance imaging-based nomogram: a study of machine learning. Cancer Imaging. 2023 Sep 18;23(1):88. doi: 10.1186/s40644-023-00607-1. PMID: 37723592; PMCID: PMC10507842. 【4.9】

4. Peng J, Wang W, Song Q, Hou J, Jin H, Qin X, Yuan Z, Wei Y, Shu Z. 18F-FDG-PET Radiomics Based on White Matter Predicts The Progression of Mild Cognitive Impairment to Alzheimer Disease: A Machine Learning Study. Acad Radiol. 2023 Sep;30(9):1874-1884. doi: 10.1016/j.acra.2022.12.033. Epub 2022 Dec 30. PMID: 36587998. 【4.8】

5. Jin H, Hou J, Qin X, Du X, Zheng G, Meng Y, Shu Z, Wei Y, Gong X. Predicting progression of white matter hyperintensity using coronary artery calcium score based on coronary CT angiography-feasibility and accuracy. Front Aging Neurosci. 2023 Nov 10;15:1256228. doi: 10.3389/fnagi.2023.1256228. PMID: 38020772; PMCID: PMC10667909. 【4.8】

6. Zhong JG, Shi L, Liu J, Cao F, Ma YQ, Zhang Y. Predicting prostate cancer in men with PSA levels of 4-10 ng/mL: MRI-based radiomics can help junior radiologists improve the diagnostic performance. Sci Rep. 2023 Mar 24;13(1):4846. doi: 10.1038/s41598-023-31869-1. PMID: 36964192; PMCID: PMC10038986. 【4.6】

7. Zhang Y, He D, Liu J, Wei YG, Shi LL. Preoperative prediction of macrotrabecular-massive hepatocellular carcinoma through dynamic contrast-enhanced magnetic resonance imaging-based radiomics. World J Gastroenterol. 2023 Apr 7;29(13):2001-2014. doi: 10.3748/wjg.v29.i13.2001. PMID: 37155523; PMCID: PMC10122786. 【4.3】

8. Wang W, Peng J, Hou J, Yuan Z, Xie W, Mao G, Pan Y, Shao Y, Shu Z. Predicting mild cognitive impairment progression to Alzheimer's disease based on machine learning analysis of cortical morphological features. Aging Clin Exp Res. 2023 Aug;35(8):1721-1730. doi: 10.1007/s40520-023-02456-1. Epub 2023 Jul 5. PMID: 37405620. 【4】

9. Peng J, Wang W, Jin H, Qin X, Hou J, Yang Z, Shu Z. Develop and validate a radiomics space-time model to predict the pathological complete response in patients undergoing neoadjuvant treatment of rectal cancer: an artificial intelligence model study based on machine learning. BMC Cancer. 2023 Apr 21;23(1):365. doi: 10.1186/s12885-023-10855-w. PMID: 37085830; PMCID: PMC10120125. 【3.8】

10. Zhang Y, Liu J, Wu C, Peng J, Wei Y, Cui S. Preoperative Prediction of Microsatellite Instability in Rectal Cancer Using Five Machine Learning Algorithms Based on Multiparametric MRI Radiomics. Diagnostics (Basel). 2023 Jan 11;13(2):269. doi: 10.3390/diagnostics13020269. PMID: 36673079; PMCID: PMC9858257. 【3.6】

11. Wu C, Du X, Zhang Y, Zhu L, Chen J, Chen Y, Wei Y, Liu Y. Five machine learning-based radiomics models for preoperative prediction of histological grade in hepatocellular carcinoma. J Cancer Res Clin Oncol. 2023 Nov;149(16):15103-15112. doi: 10.1007/s00432-023-05327-4. Epub 2023 Aug 25. PMID: 37624395. 【3.6】

12. Yanqing Ma, A growing liver anastomosing hemangioma. Quant Imaging Med Surg. 2023 May. doi: 10.21037/qims-22-1082. 【2.9】

13. Cao F, Ma T, Lin C. Hepatic anastomosing hemangioma: description of a rare case and a literature analysis. Quant Imaging Med Surg. 2023 Sep 1;13(9):6355-6362. doi: 10.21037/qims-23-485. Epub 2023 Aug 11. PMID: 37711773; PMCID: PMC10498197. 【2.8】

14. Wen X, Xiao Y, Hu X, Chen J, Song F. Prediction of hemorrhagic transformation via pre-treatment CT radiomics in acute ischemic stroke patients receiving endovascular therapy. Br J Radiol. 2023 Jul;96(1147):20220439. doi: 10.1259/bjr.20220439. Epub 2023 Apr 22. PMID: 37086070; PMCID: PMC10321256. 【2.6】

15. Pan Y, Zhao F, Cheng G, Wang H, Lu X, He D, Wu Y, Ma H, PhD HL, Yu T. Automated vertebral bone mineral density measurement with phantomless internal calibration in chest LDCT scans using deep learning. Br J Radiol. 2023 Dec;96(1152):20230047. doi: 10.1259/bjr.20230047. Epub 2023 Oct 24. PMID: 37751163; PMCID: PMC10646618. 【2.6】

16. Jin H, Qin X, Zhao F, et al. Is coronary artery calcium an independent risk factor for white matter hyperintensity? BMC Neurology, 2023, 23(1).DOI:10.1186/s12883-023-03364-7. 【2.6】

17. Ye Q, He D, Ding X, Wang Y, Wei Y, Liu J. Quantitative evaluation of the infrapatellar fat pad in knee osteoarthritis: MRI-based radiomic signature. BMC Musculoskelet Disord. 2023 Apr 25;24(1):326. doi: 10.1186/s12891-023-06433-7. PMID: 37098523; PMCID: PMC10127010. 【2.56】

18. Zhang Y, Hu M, Wen X, Huang Y, Luo R, Chen J. MRI-based radiomics nomogram in patients with high-risk placenta accreta spectrum: can it aid in the prenatal diagnosis of intraoperative blood loss? Abdom Radiol (NY). 2023 Mar;48(3):1107-1118. doi: 10.1007/s00261-022-03784-y. Epub 2023 Jan 5. PMID: 36604318. 【2.4】

19. Hou J, Coronary computed tomography angiography imaging features combined with computed tomography-fractional flow reserve, pericoronary fat attenuation index, and radiomics for the prediction of myocardial ischemia. J Nucl Cardiol. 2023 Oct. doi: 10.1007/s12350-023-03221-7 【2.4】

20. Cheng X, Li D, Peng J, Shu Z, Xing X. Prediction of Mild Cognitive Impairment Progression to Alzheimer's Disease Based on Diffusion Tensor Imaging-Derived Diffusion Parameters: Construction and Validation of a Nomogram. Eur Neurol. 2023;86(6):408-417. doi: 10.1159/000534767. Epub 2023 Nov 3. PMID: 37926082.【2.4】

21. Yuan Z, Prediction of postoperative liver metastasis in pancreatic ductal adenocarcinoma based on multiparametric magnetic resonance radiomics combined with serological markers: a cohort study of machine learning. Abdom Radiol. 2023 Oct. doi: 10.1007/s00261-023-04047-0 【2.4】

22. Yanqing Ma, An integrative clinical and CT?based tumoral/peritumoral radiomics nomogram to predict the microsatellite instability in rectal carcinoma. Abdom Radiol. 2023 Nov. doi: 10.1007/s00261-023-04099-2. 【2.4】

23. Wen X, Hu X, Xiao Y, Chen J. Radiomics analysis for predicting malignant cerebral edema in patients undergoing endovascular treatment for acute ischemic stroke. Diagn Interv Radiol. 2023 Mar 29;29(2):402-409. doi: 10.4274/dir.2023.221764. Epub 2023 Feb 17. PMID: 36988060; PMCID: PMC10679706. 【2.1】

24. Lu H, Li M, Yu K, Zhang Y, Yu L. Lumbar spine segmentation method based on deep learning. J Appl Clin Med Phys. 2023 Jun;24(6):e13996. doi: 10.1002/acm2.13996. Epub 2023 Apr 20. PMID: 37082799; PMCID: PMC10243337. 【2.1】

25. Yu L, Dai MG, Lu WF, Wang DD, Ye TW, Xu FQ, Liu SY, Liang L, Feng DJ. Preoperative prediction model for microvascular invasion in HBV-related intrahepatic cholangiocarcinoma. BMC Surg. 2023 Aug 17;23(1):239. doi: 10.1186/s12893-023-02139-8. PMID: 37592274; PMCID: PMC10433593. 【1.9】

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27. Zhao FF, Pan YL, Jin H, Wu YY, Yan YT, Meng Y, Gong XY. Retrolaminar migration as a complication of intraocular silicone oil injection detected on unenhanced CT. Int J Ophthalmol. 2023 Sep 18;16(9):1521-1526. doi: 10.18240/ijo.2023.09.20. PMID: 37724262; PMCID: PMC10475618. 【1.4】

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30. Hu HJ, Sun J, Feng R, Yu L. Comparison of the application value of transvaginal ultrasound and transabdominal ultrasound in the diagnosis of ectopic pregnancy. World J Clin Cases. 2023 May 6;11(13):2945-2955. doi: 10.12998/wjcc.v11.i13.2945. PMID: 37215424; PMCID: PMC10198080. 【1.1】

31. 潘丽雅,宋侨伟.基于CT的全肝影像组学模型评价乙型肝炎肝纤维化分期的价值[J].浙江临床医学, 2023, 25(7):975-977.

32. 章玲惠,卢向军,何东,等.基于胸部低剂量CT扫描测量腰椎CT值机会性筛查骨质疏松.实用放射学杂志, 2023.

33. 肖华伟,王相权,杨盼峰,王铃,徐健.超低剂量胸部CT联合钙感知算法评估冠状动脉钙化积分的可行性.中华放射医学与防护杂志,2023,43(10):820-826.

34. 申洋,管政,梁红,等.基于MRI影像组学预测同时性结直肠癌肝转移灶的化疗疗效.实用放射学杂志, 2023, 39(3):5.