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Essential Items for Structured Reporting of Rectal Cancer MRI: 2016 Consensus Recommendation from the Korean Society of Abdominal Radiology

  • Received : 2016.07.05
  • Accepted : 2016.07.21
  • Published : 2017.01.01

Abstract

High-resolution rectal MRI plays a crucial role in evaluating rectal cancer by providing multiple prognostic findings and imaging features that guide proper patient management. Quality reporting is critical for accurate effective communication of the information among multiple disciplines, for which a systematic structured approach is beneficial. Existing guides on reporting of rectal MRI are divergent on some issues, largely reflecting the differences in overall management of rectal cancer patients between the United States and Europe. The Korean Society of Abdominal Radiology (KSAR) study group for rectal cancer has developed an expert consensus recommendation regarding essential items for structured reporting of rectal cancer MRI using a modified Delphi method. This recommendation aims at presenting an up-to-date, evidence-based, practical, structured reporting template that can be readily adopted in daily clinical practice. In addition, a thorough explanation of the clinical and scientific rationale underlying the reporting items and their formats is provided. This KSAR recommendation may serve as a useful tool to help achieve more standardized optimal care for rectal cancer patients using rectal MRI.

Keywords

References

  1. Sauer R, Becker H, Hohenberger W, Rodel C, Wittekind C, Fietkau R, et al. Preoperative versus postoperative chemoradiotherapy for rectal cancer. N Engl J Med 2004;351:1731-1740 https://doi.org/10.1056/NEJMoa040694
  2. Roh MS, Colangelo LH, O'Connell MJ, Yothers G, Deutsch M, Allegra CJ, et al. Preoperative multimodality therapy improves disease-free survival in patients with carcinoma of the rectum: NSABP R-03. J Clin Oncol 2009;27:5124-5130 https://doi.org/10.1200/JCO.2009.22.0467
  3. Kapiteijn E, Marijnen CA, Nagtegaal ID, Putter H, Steup WH, Wiggers T, et al. Preoperative radiotherapy combined with total mesorectal excision for resectable rectal cancer. N Engl J Med 2001;345:638-646 https://doi.org/10.1056/NEJMoa010580
  4. Sebag-Montefiore D, Stephens RJ, Steele R, Monson J, Grieve R, Khanna S, et al. Preoperative radiotherapy versus selective postoperative chemoradiotherapy in patients with rectal cancer (MRC CR07 and NCIC-CTG C016): a multicentre, randomised trial. Lancet 2009;373:811-820 https://doi.org/10.1016/S0140-6736(09)60484-0
  5. Kennedy ED, Milot L, Fruitman M, Al-Sukhni E, Heine G, Schmocker S, et al. Development and implementation of a synoptic MRI report for preoperative staging of rectal cancer on a population-based level. Dis Colon Rectum 2014;57:700-708 https://doi.org/10.1097/DCR.0000000000000123
  6. Al-Sukhni E, Milot L, Fruitman M, Brown G, Schmocker S, Kennedy E. User's guide for the synoptic MRI report for rectal cancer. Web site. https://www.cancercare.on.ca/common/pages/UserFile.aspx?fileId=133269. Accessed June 25, 2016
  7. Al-Sukhni E, Milot L, Fruitman M, Brown G, Schmocker S, Kennedy E. MR Rectal Tumour. Web site. http://www.radreport.org/template/0000240. Accessed June 25, 2016
  8. Taylor F, Mangat N, Swift IR, Brown G. Proforma-based reporting in rectal cancer. Cancer Imaging 2010;10 Spec no A:S142-S150 https://doi.org/10.1102/1470-7330.2010.9092
  9. Beets-Tan RG, Lambregts DM, Maas M, Bipat S, Barbaro B, Caseiro-Alves F, et al. Magnetic resonance imaging for the clinical management of rectal cancer patients: recommendations from the 2012 European Society of Gastrointestinal and Abdominal Radiology (ESGAR) consensus meeting. Eur Radiol 2013;23:2522-2531 https://doi.org/10.1007/s00330-013-2864-4
  10. Tudyka V, Blomqvist L, Beets-Tan RG, Boelens PG, Valentini V, van de Velde CJ, et al. EURECCA consensus conference highlights about colon & rectal cancer multidisciplinary management: the radiology experts review. Eur J Surg Oncol 2014;40:469-475 https://doi.org/10.1016/j.ejso.2013.10.029
  11. National Comprehensive Cancer Network. NCCN clinical practice guidelines in oncology: rectal cancer version 2. Web site. https://www.nccn.org/professionals/physician_gls/PDF/rectal.pdf. Accessed June 25, 2016
  12. van de Velde CJ, Boelens PG, Borras JM, Coebergh JW, Cervantes A, Blomqvist L, et al. EURECCA colorectal: multidisciplinary management: European consensus conference colon & rectum. Eur J Cancer 2014;50:1.e1-1.e34
  13. American Joint Committee on Cancer. AJCC cancer staging manual, 7th ed. Chicago, IL: Springer, 2010
  14. Wittekind C, Compton CC, Brierley JR, Sobin L. TNM supplement: a commentary on uniform use, 4th ed. Oxford: Wiley-Blackwell, 2012
  15. Sobin LH, Gospodarowicz MK, Wittekind C. TNM Classification of Malignant Tumours, 7th ed. Oxford, UK: Wiley-Blackwell, 2009
  16. Salerno G, Sinnatamby C, Branagan G, Daniels IR, Heald RJ, Moran BJ. Defining the rectum: surgically, radiologically and anatomically. Colorectal Dis 2006;8 Suppl 3:5-9 https://doi.org/10.1111/j.1463-1318.2006.01062.x
  17. Schoellhammer HF, Gregorian AC, Sarkisyan GG, Petrie BA. How important is rigid proctosigmoidoscopy in localizing rectal cancer? Am J Surg 2008;196:904-908; discussion 908 https://doi.org/10.1016/j.amjsurg.2008.08.005
  18. Taylor FG, Swift RI, Blomqvist L, Brown G. A systematic approach to the interpretation of preoperative staging MRI for rectal cancer. AJR Am J Roentgenol 2008;191:1827-1835 https://doi.org/10.2214/AJR.08.1004
  19. Gowdra Halappa V, Corona Villalobos CP, Bonekamp S, Gearhart SL, Efron J, Herman J, et al. Rectal imaging: part 1, high-resolution MRI of carcinoma of the rectum at 3 T. AJR Am J Roentgenol 2012;199:W35-W42 https://doi.org/10.2214/AJR.11.8134
  20. Torkzad MR, Pahlman L, Glimelius B. Magnetic resonance imaging (MRI) in rectal cancer: a comprehensive review. Insights Imaging 2010;1:245-267 https://doi.org/10.1007/s13244-010-0037-4
  21. Corman ML, Bergamaschi RCM, Nicholls RJ, Fazio VW. Corman's colon and rectal surgery, 6th ed. Philadelphia: Lippincott Williams & Wilkins, 2013
  22. Jorge JM, Wexner SD. Anatomy and physiology of the rectum and anus. Eur J Surg 1997;163:723-731
  23. Shihab OC, Moran BJ, Heald RJ, Quirke P, Brown G. MRI staging of low rectal cancer. Eur Radiol 2009;19:643-650 https://doi.org/10.1007/s00330-008-1184-6
  24. Gollub MJ, Maas M, Weiser M, Beets GL, Goodman K, Berkers L, et al. Recognition of the anterior peritoneal reflection at rectal MRI. AJR Am J Roentgenol 2013;200:97-101 https://doi.org/10.2214/AJR.11.7602
  25. Chang JS, Lee Y, Lim JS, Kim NK, Baik SH, Min BS, et al. The magnetic resonance imaging-based approach for identification of high-risk patients with upper rectal cancer. Ann Surg 2014;260:293-298 https://doi.org/10.1097/SLA.0000000000000503
  26. Merkel S, Mansmann U, Siassi M, Papadopoulos T, Hohenberger W, Hermanek P. The prognostic inhomogeneity in pT3 rectal carcinomas. Int J Colorectal Dis 2001;16:298-304 https://doi.org/10.1007/s003840100309
  27. Beets-Tan RG, Beets GL, Vliegen RF, Kessels AG, Van Boven H, De Bruine A, et al. Accuracy of magnetic resonance imaging in prediction of tumour-free resection margin in rectal cancer surgery. Lancet 2001;357:497-504 https://doi.org/10.1016/S0140-6736(00)04040-X
  28. Shepherd NA, Baxter KJ, Love SB. Influence of local peritoneal involvement on pelvic recurrence and prognosis in rectal cancer. J Clin Pathol 1995;48:849-855 https://doi.org/10.1136/jcp.48.9.849
  29. Shin R, Jeong SY, Yoo HY, Park KJ, Heo SC, Kang GH, et al. Depth of mesorectal extension has prognostic significance in patients with T3 rectal cancer. Dis Colon Rectum 2012;55:1220-1228 https://doi.org/10.1097/DCR.0b013e31826fea6a
  30. Willett CG, Badizadegan K, Ancukiewicz M, Shellito PC. Prognostic factors in stage T3N0 rectal cancer: do all patients require postoperative pelvic irradiation and chemotherapy? Dis Colon Rectum 1999;42:167-173 https://doi.org/10.1007/BF02237122
  31. Shirouzu K, Akagi Y, Fujita S, Ueno H, Takii Y, Komori K, et al. Clinical significance of the mesorectal extension of rectal cancer: a Japanese multi-institutional study. Ann Surg 2011;253:704-710 https://doi.org/10.1097/SLA.0b013e3182119331
  32. MERCURY Study Group. Extramural depth of tumor invasion at thin-section MR in patients with rectal cancer: results of the MERCURY study. Radiology 2007;243:132-139 https://doi.org/10.1148/radiol.2431051825
  33. Park SH. Degree of error of thin-section MR in measuring extramural depth of tumor invasion in patients with rectal cancer. Radiology 2008;246:647; author reply 647-648 https://doi.org/10.1148/radiol.2462070843
  34. Cho SH, Kim SH, Bae JH, Jang YJ, Kim HJ, Lee D, et al. Prognostic stratification by extramural depth of tumor invasion of primary rectal cancer based on the Radiological Society of North America proposal. AJR Am J Roentgenol 2014;202:1238-1244 https://doi.org/10.2214/AJR.13.11311
  35. Pedersen BG, Moran B, Brown G, Blomqvist L, Fenger-Gron M, Laurberg S. Reproducibility of depth of extramural tumor spread and distance to circumferential resection margin at rectal MRI: enhancement of clinical guidelines for neoadjuvant therapy. AJR Am J Roentgenol 2011;197:1360-1366 https://doi.org/10.2214/AJR.11.6508
  36. Adam IJ, Mohamdee MO, Martin IG, Scott N, Finan PJ, Johnston D, et al. Role of circumferential margin involvement in the local recurrence of rectal cancer. Lancet 1994;344:707-711 https://doi.org/10.1016/S0140-6736(94)92206-3
  37. Quirke P, Durdey P, Dixon MF, Williams NS. Local recurrence of rectal adenocarcinoma due to inadequate surgical resection. Histopathological study of lateral tumour spread and surgical excision. Lancet 1986;2:996-999
  38. MERCURY Study Group. Diagnostic accuracy of preoperative magnetic resonance imaging in predicting curative resection of rectal cancer: prospective observational study. BMJ 2006;333:779 https://doi.org/10.1136/bmj.38937.646400.55
  39. Taylor FG, Quirke P, Heald RJ, Moran B, Blomqvist L, Swift I, et al. One millimetre is the safe cut-off for magnetic resonance imaging prediction of surgical margin status in rectal cancer. Br J Surg 2011;98:872-879 https://doi.org/10.1002/bjs.7458
  40. Taylor FG, Quirke P, Heald RJ, Moran BJ, Blomqvist L, Swift IR, et al. Preoperative magnetic resonance imaging assessment of circumferential resection margin predicts disease-free survival and local recurrence: 5-year follow-up results of the MERCURY study. J Clin Oncol 2014;32:34-43
  41. Engelen SM, Maas M, Lahaye MJ, Leijtens JW, van Berlo CL, Jansen RL, et al. Modern multidisciplinary treatment of rectal cancer based on staging with magnetic resonance imaging leads to excellent local control, but distant control remains a challenge. Eur J Cancer 2013;49:2311-2320 https://doi.org/10.1016/j.ejca.2013.03.006
  42. Xie H, Zhou X, Zhuo Z, Che S, Xie L, Fu W. Effectiveness of MRI for the assessment of mesorectal fascia involvement in patients with rectal cancer: a systematic review and meta-analysis. Dig Surg 2014;31:123-134 https://doi.org/10.1159/000363075
  43. Shihab OC, Heald RJ, Rullier E, Brown G, Holm T, Quirke P, et al. Defining the surgical planes on MRI improves surgery for cancer of the low rectum. Lancet Oncol 2009;10:1207-1211 https://doi.org/10.1016/S1470-2045(09)70084-1
  44. Salerno GV, Daniels IR, Moran BJ, Heald RJ, Thomas K, Brown G. Magnetic resonance imaging prediction of an involved surgical resection margin in low rectal cancer. Dis Colon Rectum 2009;52:632-639 https://doi.org/10.1007/DCR.0b013e3181a0a37e
  45. Shihab OC, Quirke P, Heald RJ, Moran BJ, Brown G. Magnetic resonance imaging-detected lymph nodes close to the mesorectal fascia are rarely a cause of margin involvement after total mesorectal excision. Br J Surg 2010;97:1431-1436 https://doi.org/10.1002/bjs.7116
  46. Nagtegaal ID, Marijnen CA, Kranenbarg EK, van de Velde CJ, van Krieken JH; Pathology Review Committee; Cooperative Clinical Investigators. Circumferential margin involvement is still an important predictor of local recurrence in rectal carcinoma: not one millimeter but two millimeters is the limit. Am J Surg Pathol 2002;26:350-357 https://doi.org/10.1097/00000478-200203000-00009
  47. van Loenhout R, Zijta F, Lahaye M, Beets-Tan R, Smithuis R. Radiology assistant: rectal cancer-MR staging 2.0. Web site. http://www.radiologyassistant.nl/en/p56195b237699d/rectal-cancer-mr-staging-20.html. Accessed June 25, 2016
  48. Battersby NJ, How P, Moran B, Stelzner S, West NP, Branagan G, et al. Prospective validation of a low rectal cancer magnetic resonance imaging staging system and development of a local recurrence risk stratification model: the mercury II study. Ann Surg 2016;263:751-760 https://doi.org/10.1097/SLA.0000000000001193
  49. Hermanek P, Merkel S, Fietkau R, Rodel C, Hohenberger W. Regional lymph node metastasis and locoregional recurrence of rectal carcinoma in the era of TME [corrected] surgery. Implications for treatment decisions. Int J Colorectal Dis 2010;25:359-368 https://doi.org/10.1007/s00384-009-0864-2
  50. Taylor FG, Quirke P, Heald RJ, Moran B, Blomqvist L, Swift I, et al. Preoperative high-resolution magnetic resonance imaging can identify good prognosis stage I, II, and III rectal cancer best managed by surgery alone: a prospective, multicenter, European study. Ann Surg 2011;253:711-719 https://doi.org/10.1097/SLA.0b013e31820b8d52
  51. Bipat S, Glas AS, Slors FJ, Zwinderman AH, Bossuyt PM, Stoker J. Rectal cancer: local staging and assessment of lymph node involvement with endoluminal US, CT, and MR imaging--a meta-analysis. Radiology 2004;232:773-783 https://doi.org/10.1148/radiol.2323031368
  52. Lahaye MJ, Engelen SM, Nelemans PJ, Beets GL, van de Velde CJ, van Engelshoven JM, et al. Imaging for predicting the risk factors--the circumferential resection margin and nodal disease--of local recurrence in rectal cancer: a meta-analysis. Semin Ultrasound CT MR 2005;26:259-268 https://doi.org/10.1053/j.sult.2005.04.005
  53. Al-Sukhni E, Milot L, Fruitman M, Beyene J, Victor JC, Schmocker S, et al. Diagnostic accuracy of MRI for assessment of T category, lymph node metastases, and circumferential resection margin involvement in patients with rectal cancer: a systematic review and meta-analysis. Ann Surg Oncol 2012;19:2212-2223 https://doi.org/10.1245/s10434-011-2210-5
  54. Brown G, Richards CJ, Bourne MW, Newcombe RG, Radcliffe AG, Dallimore NS, et al. Morphologic predictors of lymph node status in rectal cancer with use of high-spatial-resolution MR imaging with histopathologic comparison. Radiology 2003;227:371-377 https://doi.org/10.1148/radiol.2272011747
  55. Wang C, Zhou Z, Wang Z, Zheng Y, Zhao G, Yu Y, et al. Patterns of neoplastic foci and lymph node micrometastasis within the mesorectum. Langenbecks Arch Surg 2005;390:312-318 https://doi.org/10.1007/s00423-005-0562-7
  56. Kim JH, Beets GL, Kim MJ, Kessels AG, Beets-Tan RG. High-resolution MR imaging for nodal staging in rectal cancer: are there any criteria in addition to the size? Eur J Radiol 2004;52:78-83 https://doi.org/10.1016/j.ejrad.2003.12.005
  57. Ogawa S, Hida J, Ike H, Kinugasa T, Ota M, Shinto E, et al. Selection of lymph node-positive cases based on perirectal and lateral pelvic lymph nodes using magnetic resonance imaging: study of the japanese society for cancer of the colon and rectum. Ann Surg Oncol 2016;23:1187-1194 https://doi.org/10.1245/s10434-015-5021-2
  58. Talbot IC, Ritchie S, Leighton MH, Hughes AO, Bussey HJ, Morson BC. The clinical significance of invasion of veins by rectal cancer. Br J Surg 1980;67:439-442 https://doi.org/10.1002/bjs.1800670619
  59. Chand M, Siddiqui MR, Swift I, Brown G. Systematic review of prognostic importance of extramural venous invasion in rectal cancer. World J Gastroenterol 2016;22:1721-1726 https://doi.org/10.3748/wjg.v22.i4.1721
  60. Smith NJ, Barbachano Y, Norman AR, Swift RI, Abulafi AM, Brown G. Prognostic significance of magnetic resonance imaging-detected extramural vascular invasion in rectal cancer. Br J Surg 2008;95:229-236
  61. Sohn B, Lim JS, Kim H, Myoung S, Choi J, Kim NK, et al. MRI-detected extramural vascular invasion is an independent prognostic factor for synchronous metastasis in patients with rectal cancer. Eur Radiol 2015;25:1347-1355 https://doi.org/10.1007/s00330-014-3527-9
  62. Bugg WG, Andreou AK, Biswas D, Toms AP, Williams SM. The prognostic significance of MRI-detected extramural venous invasion in rectal carcinoma. Clin Radiol 2014;69:619-623 https://doi.org/10.1016/j.crad.2014.01.010
  63. Chand M, Bhangu A, Wotherspoon A, Stamp GW, Swift RI, Chau I, et al. EMVI-positive stage II rectal cancer has similar clinical outcomes as stage III disease following pre-operative chemoradiotherapy. Ann Oncol 2014;25:858-863 https://doi.org/10.1093/annonc/mdu029
  64. Smith NJ, Shihab O, Arnaout A, Swift RI, Brown G. MRI for detection of extramural vascular invasion in rectal cancer. AJR Am J Roentgenol 2008;191:1517-1522 https://doi.org/10.2214/AJR.08.1298
  65. Jhaveri KS, Hosseini-Nik H, Thipphavong S, Assarzadegan N, Menezes RJ, Kennedy ED, et al. MRI detection of extramural venous invasion in rectal cancer: correlation with histopathology using elastin stain. AJR Am J Roentgenol 2016;206:747-755 https://doi.org/10.2214/AJR.15.15568

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