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Journal of Molecular Imaging

ISTIC

ISSN：1674-4500

CN：44-1630/R

Frequency：Monthly

Website：none

Email：jsmu@smu.edu.cn

Postcode：510515

Articles2081

Citations7754

Funded1233

Impact Factor：1.47

Articles

2025 No.03

Total 21 articles

Clinical Research

CT radiomics combined with serum parameters can effectively predict early recurrence after transcatheter arterial chemoembolization for liver cancerSUN Zhigang, LEI Xuedi, MENG Tao, HU Yukang, ZHANG Ning, YANG Penghui, TONG Zhong

253-263

The nomogram model based on the combination of intratumoral and peritumoral ultrasound radiomics scores and clinical factors demonstrates good predictive value for the efficacy of neoadjuvant chemotherapy in breast cancerXU Yuqing, YANG Ru, CI Hongfei, PENG Xiaoyu, LI Yang

264-271

11 C-CFT PET/CT imaging combined with serum LAG-3 and α-SYN has high diagnostic value for Parkinson's diseaseXUE Jingting, WANG Tao, CHANG Peiye

272-277

CT quantitative parameters combined with imaging features can predict risk classification of small intestinal stromal tumorsZHANG Buhan, PENG Gang, SUN Jihong

278-283

Comparison of clinical efficacy of ultrasound-guided puncture and fluid extraction combined with vacuum cupping and VSD in the treatment of fistula stage plasma cell mastitisYANG Meining, WANG Fang, HONG Hua, YUAN Jia, SUN Yue, SUN Ran, LIU Qian

284-289

Relaxation-enhanced angiography without contrast and triggering can be used for renal artery angiographyZHONG Zhiming, JIANG Jieying, CHEN Peng, LIU Tiejun, PAN Hui

290-295

Application of X-CARE technology in reducing radiation dose in head CT using specific-size dose estimationWANG Fan, CAO Wei, LIANG Baohui, WANG Jing

296-301

Construction of a nomogram for predicting cognitive impairment in Parkinson's disease based on substantia nigra hyperechogenicity and clinical featuresFAN Xiaolan, LIU Hailian, XIE Qiyan, TONG Ya, HOU Chao

302-308

CT angiography-CT perfusion imaging parameters improve the efficacy in evaluating collateral circulation in ischemic strokeCHEN Shuang, CHEN Yi, JIANG Yilun

309-314

Comparison of deep learning models and machine learning models in pre-operative prediction of mismatch repair system classification for colorectal cancer:based on CT radiomicsWANG Zimeng, WANG Wenjiang, WANG Dawei, CUI Shujun

315-322