Literature DB >> 24616572

Magnetic resonance imaging in rectal cancer: a surgeon's perspective.

Avanish P Saklani1, Sung Uk Bae1, Amy Clayton1, Nam Kyu Kim1.   

Abstract

Magnetic resonance imaging (MRI) in rectal cancer was first investigated in 1999 and has become almost mandatory in planning rectal cancer treatment. MRI has a high accuracy in predicting circumferential resection margin involvement and is used to plan neoadjuvant therapy. The accuracy of MRI in assessing mesorectal lymph nodes remains moderate, as there are no reliable criteria to assess nodal involvement. MRI seems to be good in assessing peritoneal involvement in upper rectal cancer; this however has been assessed in only a few studies and needs further research. For low rectal cancers, mesorectum is thin at the level of levator ani especially in relation to prostate; so predicting circumferential resection margin involvement is not easy. However high spatial resolution coronal imaging shows levator muscles, sphincter complex and intersphincteric plane accurately. This is used to stage low rectal tumors and plan plane of surgery (standard surgery, intersphincteric resection, Extralevator abdominoperineal resection). While most centres perform MRI post chemoradiotherapy, its role in accurate staging post neoadjuvant therapy remains debatable. THe role of Diffusion weighted MRI post neoadjuvant therapy is being evaluated in research settings.

Entities:  

Keywords:  Magnetic resonance imaging; Rectal cancer; Surgeon

Mesh:

Substances:

Year:  2014        PMID: 24616572      PMCID: PMC3934473          DOI: 10.3748/wjg.v20.i8.2030

Source DB:  PubMed          Journal:  World J Gastroenterol        ISSN: 1007-9327            Impact factor:   5.742


  69 in total

Review 1.  Surgery for recurrent rectal carcinoma: The role of preoperative magnetic resonance imaging.

Authors:  C Messiou; A Chalmers; K Boyle; P Sagar
Journal:  Clin Radiol       Date:  2006-03       Impact factor: 2.350

2.  Perfusion MRI for the prediction of treatment response after preoperative chemoradiotherapy in locally advanced rectal cancer.

Authors:  Joon Seok Lim; Daehong Kim; Song-Ee Baek; Sungmin Myoung; Junjeong Choi; Sang Joon Shin; Myeong-Jin Kim; Nam Kyu Kim; Jinsuk Suh; Ki Whang Kim; Ki Chang Keum
Journal:  Eur Radiol       Date:  2012-03-17       Impact factor: 5.315

3.  Rectal carcinoma: MRI with histologic correlation before and after chemoradiation therapy.

Authors:  Steven D Allen; Anwar R Padhani; Andrzej S Dzik-Jurasz; Robert Glynne-Jones
Journal:  AJR Am J Roentgenol       Date:  2007-02       Impact factor: 3.959

4.  Nodal staging of rectal cancer: high-resolution pelvic MRI versus ¹⁸F-FDGPET/CT.

Authors:  Dae Jung Kim; Joo Hee Kim; Young Hoon Ryu; Tae Joo Jeon; Jeong-Sik Yu; Jae-Joon Chung
Journal:  J Comput Assist Tomogr       Date:  2011 Sep-Oct       Impact factor: 1.826

5.  Techniques and trouble-shooting in high spatial resolution thin slice MRI for rectal cancer.

Authors:  G Brown; I R Daniels; C Richardson; P Revell; D Peppercorn; M Bourne
Journal:  Br J Radiol       Date:  2005-03       Impact factor: 3.039

6.  Accuracy of endorectal ultrasound after preoperative radiochemotherapy in locally advanced rectal cancer.

Authors:  B Rau; M Hünerbein; C Barth; P Wust; W Haensch; H Riess; R Felix; P M Schlag
Journal:  Surg Endosc       Date:  1999-10       Impact factor: 4.584

7.  Extramural depth of tumor invasion at thin-section MR in patients with rectal cancer: results of the MERCURY study.

Authors: 
Journal:  Radiology       Date:  2007-02-28       Impact factor: 11.105

Review 8.  Proforma-based reporting in rectal cancer.

Authors:  F Taylor; N Mangat; I R Swift; G Brown
Journal:  Cancer Imaging       Date:  2010-10-04       Impact factor: 3.909

9.  High-resolution MRI of the anatomy important in total mesorectal excision of the rectum.

Authors:  Gina Brown; Alex Kirkham; Geraint T Williams; Michael Bourne; Andrew G Radcliffe; Joanne Sayman; Richard Newell; Chummy Sinnatamby; Richard J Heald
Journal:  AJR Am J Roentgenol       Date:  2004-02       Impact factor: 3.959

10.  MRI directed multidisciplinary team preoperative treatment strategy: the way to eliminate positive circumferential margins?

Authors:  S Burton; G Brown; I R Daniels; A R Norman; B Mason; D Cunningham
Journal:  Br J Cancer       Date:  2006-02-13       Impact factor: 7.640

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  6 in total

1.  Long-term oncological outcomes of robotic versus laparoscopic total mesorectal excision of mid-low rectal cancer following neoadjuvant chemoradiation therapy.

Authors:  Dae Ro Lim; Sung Uk Bae; Hyuk Hur; Byung Soh Min; Seung Hyuk Baik; Kang Young Lee; Nam Kyu Kim
Journal:  Surg Endosc       Date:  2016-09-08       Impact factor: 4.584

2.  Assessment of colon and bladder crosstalk in an experimental colitis model using contrast-enhanced magnetic resonance imaging.

Authors:  R A Towner; N Smith; D Saunders; S B Van Gordon; K R Tyler; A B Wisniewski; B Greenwood-Van Meerveld; R E Hurst
Journal:  Neurogastroenterol Motil       Date:  2015-08-24       Impact factor: 3.598

3.  Radiomic Features of Primary Rectal Cancers on Baseline T2 -Weighted MRI Are Associated With Pathologic Complete Response to Neoadjuvant Chemoradiation: A Multisite Study.

Authors:  Jacob T Antunes; Asya Ofshteyn; Kaustav Bera; Erik Y Wang; Justin T Brady; Joseph E Willis; Kenneth A Friedman; Eric L Marderstein; Matthew F Kalady; Sharon L Stein; Andrei S Purysko; Rajmohan Paspulati; Jayakrishna Gollamudi; Anant Madabhushi; Satish E Viswanath
Journal:  J Magn Reson Imaging       Date:  2020-03-26       Impact factor: 4.813

4.  Optimizing the Personalized Care for the Management of Rectal Cancer: A Consensus Statement.

Authors:  Erman Aytaç; Leyla Özer; Bilgi Baca; Emre Balık; Yersu Kapran; Orhun Cığ Taşkın; Başak Oyan Uluç; Mehmet Ufuk Abacıoğlu; Murat Gönenç; Yasemin Bölükbaşı; Barbaros E Çil; Bülent Baran; Cem Aygün; Mehmet Erdem Yıldız; Kemal Ünal; Burçak Erkol; Tunç Yaltı; Uğur Özbek; Tan Attila; Nurdan Tözün; Bengi Gürses; Sibel Erdamar; Özlem Er; Nuran Beşe; Orhan Bilge; Güralp Onur Ceyhan; Nil Molinas Mandel; Uğur Selek; Cengiz Yakıcıer; Hülya Kayserili Karabey; Murat Saruç; Volkan Özben; Eren Esen; Emre Özoran; Erkan Vardareli; Levent Güner; İsmail Hamzaoğlu; Dursun Buğra; Tayfun Karahasanoğlu; The İstanbul Group
Journal:  Turk J Gastroenterol       Date:  2022-08       Impact factor: 1.555

5.  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

6.  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

  6 in total

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