Literature DB >> 18269488

Preoperative staging of rectal cancer by magnetic resonance imaging remains an imprecise tool.

Matthew G Tytherleigh1, Vivien V Ng, Anthony A Pittathankal, Matthew J Wilson, Ridzuan Farouk.   

Abstract

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Year:  2008        PMID： 18269488     DOI： 10.1111/j.1445-2197.2007.04402.x

Source DB:  PubMed          Journal:  ANZ J Surg        ISSN： 1445-1433            Impact factor:   1.872


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  9 in total

1.  Response to chemoradiotherapy and lymph node involvement in locally advanced rectal cancer.

Authors:  Luis J García-Flórez; Guillermo Gómez-Álvarez; Ana M Frunza; Luis Barneo-Serra; Manuel F Fresno-Forcelledo
Journal:  World J Gastrointest Surg       Date:  2015-09-27

2.  Stage and size using magnetic resonance imaging and endosonography in neoadjuvantly-treated rectal cancer.

Authors:  Torbjörn Swartling; Peter Kälebo; Kristoffer Derwinger; Bengt Gustavsson; Göran Kurlberg
Journal:  World J Gastroenterol       Date:  2013-06-07       Impact factor: 5.742

3.  Rectal cancer: 3D dynamic contrast-enhanced MRI; correlation with microvascular density and clinicopathological features.

Authors:  W W Yao; H Zhang; B Ding; T Fu; H Jia; L Pang; L Song; W Xu; Q Song; K Chen; Z Pan
Journal:  Radiol Med       Date:  2011-02-01       Impact factor: 3.469

4.  Optimizing adjuvant treatment decisions for stage t2 rectal cancer based on mesorectal node size: a decision analysis.

Authors:  Rebecca I Hartman; Connie Y Chang; Jennifer Y Wo; Jonathan D Eisenberg; Theodore S Hong; Mukesh G Harisinghani; G Scott Gazelle; Pari V Pandharipande
Journal:  Acad Radiol       Date:  2012-09-02       Impact factor: 3.173

5.  Characteristics and Prognostic Significance of Preoperative Magnetic Resonance Imaging-Assessed Circumferential Margin in Rectal Cancer.

Authors:  Xiaoji Ma; Xinxiang Li; Linghui Xu; Debing Shi; Tong Tong; Dan Huang; Ying Ding; Sanjun Cai; Junjie Peng
Journal:  Gastroenterol Res Pract       Date:  2015-05-19       Impact factor: 2.260

6.  Is the pathological regression level of metastatic lymph nodes associated with oncologic outcomes following preoperative chemoradiotherapy in rectal cancer?

Authors:  Jung Pil Choi; Sung Joo Kim; In Ja Park; Seung Mo Hong; Jong Lyul Lee; Yong Sik Yoon; Chan Wook Kim; Seok-Byung Lim; Jung Bok Lee; Chang Sik Yu; Jin Cheon Kim
Journal:  Oncotarget       Date:  2017-02-07

7.  Extramural vascular invasion and response to neoadjuvant chemoradiotherapy in rectal cancer: Influence of the CpG island methylator phenotype.

Authors:  Jeremy Stuart Williamson; Huw Geraint Jones; Namor Williams; Anthony Paul Griffiths; Gareth Jenkins; John Beynon; Dean Anthony Harris
Journal:  World J Gastrointest Oncol       Date:  2017-05-15

8.  Artificial intelligence system of faster region-based convolutional neural network surpassing senior radiologists in evaluation of metastatic lymph nodes of rectal cancer.

Authors:  Lei Ding; Guang-Wei Liu; Bao-Chun Zhao; Yun-Peng Zhou; Shuai Li; Zheng-Dong Zhang; Yu-Ting Guo; Ai-Qin Li; Yun Lu; Hong-Wei Yao; Wei-Tang Yuan; Gui-Ying Wang; Dian-Liang Zhang; Lei Wang
Journal:  Chin Med J (Engl)       Date:  2019-02       Impact factor: 2.628

9.  A deep learning nomogram kit for predicting metastatic lymph nodes in rectal cancer.

Authors:  Lei Ding; Guangwei Liu; Xianxiang Zhang; Shanglong Liu; Shuai Li; Zhengdong Zhang; Yuting Guo; Yun Lu
Journal:  Cancer Med       Date:  2020-09-30       Impact factor: 4.452
  9 in total

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