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For: Tapan U, Ozbayrak M, Tatlı S. MRI in local staging of rectal cancer: an update. Diagn Interv Radiol 2014;20:390-8. [PMID: 25010367 DOI: 10.5152/dir.2014.13265] [Cited by in Crossref: 22] [Cited by in F6Publishing: 23] [Article Influence: 3.7] [Reference Citation Analysis]
Number Citing Articles
1 Zhang Z, Jiang X, Zhang R, Yu T, Liu S, Luo Y. Radiomics signature as a new biomarker for preoperative prediction of neoadjuvant chemoradiotherapy response in locally advanced rectal cancer. Diagn Interv Radiol 2021;27:308-14. [PMID: 34003118 DOI: 10.5152/dir.2021.19677] [Reference Citation Analysis]
2 Abreu SFM, Martins SFF. Preoperative staging of rectal cancer with MRI: correlation with pathologic staging. Journal of Coloproctology 2021;35:077-82. [DOI: 10.1016/j.jcol.2015.02.005] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Fornell-Perez R, Perez-Alonso E, Porcel-de-Peralta G, Duran-Castellon A, Vivas-Escalona V, Aranda-Sanchez J, Gonzalez-Dominguez MC, Rubio-Garcia J, Aleman-Flores P, Lozano-Rodriguez A, Orihuela-de-la-Cal ME, Loro-Ferrer JF. Primary and post-chemoradiotherapy staging using MRI in rectal cancer: the role of diffusion imaging in the assessment of perirectal infiltration. Abdom Radiol (NY). 2019;44:3674-3682. [PMID: 31332499 DOI: 10.1007/s00261-019-02139-4] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 7.0] [Reference Citation Analysis]
4 Zhang M, Li J, Ma X, Wang B, Wu J, Gao Y, Tian J, Wang J. The value of magnetic resonance imaging to diagnose pathological complete response of rectal cancer after therapy: A protocol for meta-analysis. Medicine (Baltimore) 2018;97:e12901. [PMID: 30412091 DOI: 10.1097/MD.0000000000012901] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
5 Stijns RC, Scheenen TW, de Wilt JH, Fütterer JJ, Beets-Tan RG. The influence of endorectal filling on rectal cancer staging with MRI. Br J Radiol 2018;91:20180205. [PMID: 29888969 DOI: 10.1259/bjr.20180205] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
6 Inoue A, Ohta S, Nitta N, Yoshimura M, Shimizu T, Tani M, Kushima R, Murata K. MRI can be used to assess advanced T-stage colon carcinoma as well as rectal carcinoma. Jpn J Radiol 2016;34:809-19. [PMID: 27757786 DOI: 10.1007/s11604-016-0591-x] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.2] [Reference Citation Analysis]
7 Atallah C, Taylor JP, Lo BD, Stem M, Brocke T, Efron JE, Safar B. Local excision for T1 rectal tumours: are we getting better? Colorectal Dis 2020;22:2038-48. [PMID: 32886836 DOI: 10.1111/codi.15344] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
8 Polamraju P, Haque W, Verma V, Wiederhold L, Hatch S, Butler EB, Teh BS. Adjuvant Management of Pathologic Node-Positive Disease After Definitive Surgery for Clinical T1-2 N0 Rectal Cancer. Clin Colorectal Cancer 2018;17:e519-30. [PMID: 29753642 DOI: 10.1016/j.clcc.2018.04.001] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 1.3] [Reference Citation Analysis]
9 Ren Y, Ye J, Wang Y, Xiong W, Xu J, He Y, Cai S, Tan M, Yuan Y. The Optimal Application of Transrectal Ultrasound in Staging of Rectal Cancer Following Neoadjuvant Therapy: A Pragmatic Study for Accuracy Investigation. J Cancer 2018;9:784-91. [PMID: 29581756 DOI: 10.7150/jca.22661] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
10 Chen W, Lin G, Yao Y, Chen J, Shui H, Yang Q, Wang X, Weng X, Sun L, Chen F, Yang S, Yang Y, Zhou Y. MicroRNA hsa-let-7e-5p as a potential prognosis marker for rectal carcinoma with liver metastases. Oncol Lett 2018;15:6913-24. [PMID: 29731866 DOI: 10.3892/ol.2018.8181] [Cited by in Crossref: 2] [Cited by in F6Publishing: 7] [Article Influence: 0.7] [Reference Citation Analysis]
11 Zheng S, Lin X, Zhang W, He B, Jia S, Wang P, Jiang H, Shi J, Jia F. MDCC-Net: Multiscale double-channel convolution U-Net framework for colorectal tumor segmentation. Comput Biol Med 2021;130:104183. [PMID: 33360107 DOI: 10.1016/j.compbiomed.2020.104183] [Reference Citation Analysis]
12 Amankulov J, Akhmetova G, Toleshbaev D, Zholdybay Z, Mangitova L, Kaidarova D. Single-centre evaluation and staging of rectal carcinoma on a 3-Tesla magnetic resonance imaging and correlation with histological profile. Pol J Radiol 2021;86:e217-24. [PMID: 34093918 DOI: 10.5114/pjr.2021.105607] [Reference Citation Analysis]
13 Attenberger UI, Tavakoli A, Stocker D, Stieb S, Riesterer O, Turina M, Schoenberg SO, Pilz L, Reiner CS. Reduced and standard field-of-view diffusion weighted imaging in patients with rectal cancer at 3 T-Comparison of image quality and apparent diffusion coefficient measurements. Eur J Radiol 2020;131:109257. [PMID: 32947092 DOI: 10.1016/j.ejrad.2020.109257] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Tinawi G, Gunawardene A, Shekouh A, Larsen PD, Dennett ER. Neoadjuvant therapy in rectal cancer: how are we choosing?: Neoadjuvant therapy in rectal cancer. ANZ Journal of Surgery 2019;89:68-73. [DOI: 10.1111/ans.14935] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
15 López-Campos F, Martín-Martín M, Fornell-Pérez R, García-Pérez JC, Die-Trill J, Fuentes-Mateos R, López-Durán S, Domínguez-Rullán J, Ferreiro R, Riquelme-Oliveira A, Hervás-Morón A, Couñago F. Watch and wait approach in rectal cancer: Current controversies and future directions. World J Gastroenterol 2020; 26(29): 4218-4239 [PMID: 32848330 DOI: 10.3748/wjg.v26.i29.4218] [Cited by in CrossRef: 13] [Cited by in F6Publishing: 5] [Article Influence: 13.0] [Reference Citation Analysis]
16 Moreno CC, Sullivan PS, Mittal PK. MRI Evaluation of Rectal Cancer: Staging and Restaging. Curr Probl Diagn Radiol. 2017;46:234-241. [PMID: 28089690 DOI: 10.1067/j.cpradiol.2016.11.011] [Cited by in Crossref: 18] [Cited by in F6Publishing: 15] [Article Influence: 3.6] [Reference Citation Analysis]
17 Lee C, Chang C, Yang H, Chiang P, Tsang Y. Intensity modulated radiotherapy delivers competitive local control rate with limited acute toxicity in the adjuvant treatment of rectal cancer. Japanese Journal of Clinical Oncology 2018;48:653-60. [DOI: 10.1093/jjco/hyy075] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
18 Lin X, Zhao S, Jiang H, Jia F, Wang G, He B, Jiang H, Ma X, Li J, Shi Z. A radiomics-based nomogram for preoperative T staging prediction of rectal cancer. Abdom Radiol (NY) 2021. [PMID: 34081158 DOI: 10.1007/s00261-021-03137-1] [Reference Citation Analysis]
19 Soomro MH, Giunta G, Laghi A, Caruso D, Ciolina M, De Marchis C, Conforto S, Schmid M. Segmenting MR Images by Level-Set Algorithms for Perspective Colorectal Cancer Diagnosis. In: Tavares JMR, Natal Jorge R, editors. VipIMAGE 2017. Cham: Springer International Publishing; 2018. pp. 396-406. [DOI: 10.1007/978-3-319-68195-5_44] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
20 Soomro MH, Coppotelli M, Conforto S, Schmid M, Giunta G, Del Secco L, Neri E, Caruso D, Rengo M, Laghi A. Automated Segmentation of Colorectal Tumor in 3D MRI Using 3D Multiscale Densely Connected Convolutional Neural Network. J Healthc Eng. 2019;2019:1075434. [PMID: 30838121 DOI: 10.1155/2019/1075434] [Cited by in Crossref: 11] [Cited by in F6Publishing: 8] [Article Influence: 5.5] [Reference Citation Analysis]
21 Qiu L, Liu XL, Liu SR, Weng ZP, Chen XQ, Feng YZ, Cai XR, Guo CY. Role of quantitative intravoxel incoherent motion parameters in the preoperative diagnosis of nodal metastasis in patients with rectal carcinoma. J Magn Reson Imaging. 2016;44:1031-1039. [PMID: 27019309 DOI: 10.1002/jmri.25250] [Cited by in Crossref: 16] [Cited by in F6Publishing: 17] [Article Influence: 3.2] [Reference Citation Analysis]
22 Wang M, Xie P, Ran Z, Jian J, Zhang R, Xia W, Yu T, Ni C, Gu J, Gao X, Meng X. Full convolutional network based multiple side-output fusion architecture for the segmentation of rectal tumors in magnetic resonance images: A multi-vendor study. Med Phys. 2019;46:2659-2668. [PMID: 30972763 DOI: 10.1002/mp.13541] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
23 Dijkhoff RAP, Beets-Tan RGH, Lambregts DMJ, Beets GL, Maas M. Value of DCE-MRI for staging and response evaluation in rectal cancer: A systematic review. Eur J Radiol. 2017;95:155-168. [PMID: 28987662 DOI: 10.1016/j.ejrad.2017.08.009] [Cited by in Crossref: 40] [Cited by in F6Publishing: 30] [Article Influence: 10.0] [Reference Citation Analysis]