[1] |
Siegel RL, Miller KD, Fuchs HE, et al. Cancer statistics, 2022[J]. CA Cancer J Clin, 2022, 72(1): 7-33. DOI: 10.3322/caac.21708.
|
[2] |
Pandolfo SD, Cilio S, Aveta A, et al. Upper Tract Urothelial Cancer: Guideline of Guidelines[J]. Cancers, 2024, 16(6):16. DOI: 10.3390/cancers16061115.
|
[3] |
King KG. Use of contrast ultrasound for renal mass evaluation[J]. Radiol Clin North Am, 2020, 58(5): 935-949. DOI: 10.1016/j.rcl.2020.05.002.
|
[4] |
Zhang B, Li J, Wu Z, et al. Contrast-enhanced ultrasound characteristics of renal pelvis urothelial carcinoma and its relationship with microvessel density[J]. Ultrasound Med Biol, 2021, 47(2): 236-243. DOI: 10.1016/j.ultrasmedbio.2020.09.006.
|
[5] |
Expert Panel on Urological Imaging, Wolfman DJ, Marko J, et al. ACR appropriateness criteria ® hematuria[J]. J Am Coll Radiol, 2020, 17(5S): S138-S147. DOI: 10.1016/j.jacr.2020.01.028.
|
[6] |
Abouelkheir RT, Elawdy MM, Taha DE, et al. The accuracy of computed tomography in the diagnosis of upper urinary tract urothelial carcinoma in correlation with the final histopathology: a retrospective study in 275 patients at a Tertiary Urology Institute[J]. Urol Ann, 2021, 13(4): 356-361. DOI: 10.4103/UA.UA_32_20.
|
[7] |
Galtung KF, Lauritzen PM, Sandbæk G, et al. Is a single nephrographic phase computed tomography sufficient for detecting urothelial carcinoma in patients with visible haematuria?A prospective paired noninferiority comparison[J]. Eur Urol Open Sci, 2023, 55: 1-10. DOI: 10.1016/j.euros.2023.06.005.
|
[8] |
Ali O, Fishman EK, Sheth S. Upper urinary tract urothelial carcinoma on multidetector CT: spectrum of disease[J]. Abdom Radiol, 2019, 44(12): 3874-3885. DOI: 10.1007/s00261-019-02173-2.
|
[9] |
Alessandrino F, Ghaith O, Williams K, et al. Advanced urothelial cancer: a radiology update[J]. Abdom Radiol (NY), 2019, 44(12): 3858-3873. DOI: 10.1007/s00261-019-02148-3.
|
[10] |
|
[11] |
连世东, 张泳华, 图爽, 等. 实质型肾盂癌多层螺旋CT诊断[J]. 中国临床医学影像杂志, 2015, 26(5): 371-373.
|
[12] |
|
[13] |
Zou J, Ye J, Zhu W, et al. Diffusion-weighted and diffusion kurtosis imaging analysis of microstructural differences in clear cell renal cell carcinoma: a comparative study[J]. Br J Radiol, 2023, 96(1150): 20230146. DOI: 10.1259/bjr.20230146.
|
[14] |
Yoshida R, Yoshizako T, Maruyama M, et al. The value of adding diffusion-weighted images for tumor detection and preoperative staging in renal pelvic carcinoma for the reader's experience[J]. Abdom Radiol (NY), 2017, 42(9): 2297-2304. DOI: 10.1007/s00261-017-1116-5.
|
[15] |
Dursun M, Ozbek E, Otunctemur A, et al. Differentiating renal pelvic cancer from renal cell carcinoma with 18-fluorodeoxyglucose positron emission tomography-computed tomography[J]. J Cancer Res Ther, 2021, 17(4): 901-905. DOI: 10.4103/jcrt.JCRT_217_16.
|
[16] |
Urso L, Bauckneht M, Albano D, et al. The evolution of PET imaging in renal, bladder, upper urinary tract urothelial, testicular and penile carcinoma - Today's impact, tomorrow's potential[J]. Expert Rev Med Devices, 2024, 21(1-2): 55-72. DOI: 10.1080/17434440.2023.2293919.
|
[17] |
Zou Y, Liu L, Xie X, et al. Case Report: a MiT family translocation renal cell carcinoma in the renal pelvis, calyces and upper ureter misdiagnosed as upper tract urothelial carcinoma[J]. Front Oncol, 2023, 13: 1197578. DOI: 10.3389/fonc.2023.1197578.
|
[18] |
Abou El-Ghar M, Farg H, Sharaf DE, et al. CT and MRI in urinary tract infections: a spectrum of different imaging findings[J]. Medicina, 2021, 57(1): 32. DOI: 10.3390/medicina57010032.
|
[19] |
|
[20] |
Cheng K, Cassidy F, Aganovic L, et al. CT urography: how to optimize the technique[J]. Abdom Radiol (NY), 2019, 44(12): 3786-3799. DOI: 10.1007/s00261-019-02111-2.
|
[21] |
Gershan V, Homayounieh F, Singh R, et al. CT protocols and radiation doses for hematuria and urinary stones: Comparing practices in 20 countries[J]. Eur J Radiol, 2020, 126: 108923. DOI: 10.1016/j.ejrad.2020.108923.
|
[22] |
Cheng Y, Sun J, Li J, et al. The added value of virtual unenhanced images obtained from dual-energy CT urography in the detection and measurement of urinary stone[J]. Urology, 2022, 166: 118-125. DOI: 10.1016/j.urology.2022.02.029.
|
[23] |
Dodig D, Solocki Matić T, Žuža I, et al. Side-by-side evaluation of virtual non-contrast and post-contrast images improves detection of clinically significant urolithiasis on single-phase split bolus dual-energy CT urography[J]. Br J Radiol, 2021, 94(1121): 20210013. DOI: 10.1259/bjr.20210013.
|
[24] |
Li C, Lu B, Zhao Q, et al. Development and validation of a clinical and ultrasound features-based nomogram for preoperative differentiation of renal urothelial carcinoma and central renal cell carcinoma[J]. World J Urol, 2024, 42(1): 227. DOI: 10.1007/s00345-024-04935-0.
|
[25] |
Chen M, Yin F, Yu Y, et al. CT-based multi-phase Radiomic models for differentiating clear cell renal cell carcinoma[J]. Cancer Imag, 2021, 21(1): 42. DOI: 10.1186/s40644-021-00412-8.
|
[26] |
Zhai X, Sun P, Yu X, et al. CT-based radiomics signature for differentiating pyelocaliceal upper urinary tract urothelial carcinoma from infiltrative renal cell carcinoma[J]. Front Oncol, 2024, 13: 1244585. DOI: 10.3389/fonc.2023.1244585.
|
[27] |
Zerunian M, Pucciarelli F, Caruso D, et al. Artificial intelligence based image quality enhancement in liver MRI: a quantitative and qualitative evaluation[J]. Radiol Med, 2022, 127(10): 1098-1105. DOI: 10.1007/s11547-022-01539-9.
|
[28] |
Li M, Jiang Z, Shen W, et al. Deep learning in bladder cancer imaging: a review[J]. Front Oncol, 2022, 12: 930917. DOI: 10.3389/fonc.2022.930917.
|
[29] |
Zhang X, Qiu Y, Jiang W, et al. Mean apparent propagator MRI: quantitative assessment of tumor-stroma ratio in invasive ductal breast carcinoma[J]. Radiol Imaging Cancer, 2024, 6(4): e230165. DOI: 10.1148/rycan.230165.
|
[30] |
Cao M, Li Y, Tang Y, et al. Quantification of the engraftment status of mesenchymal stem cells in glioma using dual-modality magnetic resonance imaging and bioluminescence imaging[J]. Acad Radiol, 2025, 32(1): 334-346. DOI: 10.1016/j.acra.2024.07.008.
|
[31] |
Li D, Chen J, Lu Y, et al. Codelivery of dual gases with metal-organic supramolecular cage-based microenvironment-responsive nanomedicine for atherosclerosis therapy[J]. Small, 2024: 2402673. DOI: 10.1002/smll.202402673.
|