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Yaghobi Joybari, Ali, Jozian, Fariba, Alahyari, Sam, Nasiri, Saeed, Samsami, Majid, Sandoughdaran, Saleh. (1401). Role of DW-MRI in Predicting Pathologic Complete Response after Neoadjuvant Chemoradiation in Patients with Rectal Cancer. سامانه مدیریت نشریات علمی, 14(1), 146-152. doi: 10.30476/mejc.2021.90890.1594
Ali Yaghobi Joybari; Fariba Jozian; Sam Alahyari; Saeed Nasiri; Majid Samsami; Saleh Sandoughdaran. "Role of DW-MRI in Predicting Pathologic Complete Response after Neoadjuvant Chemoradiation in Patients with Rectal Cancer". سامانه مدیریت نشریات علمی, 14, 1, 1401, 146-152. doi: 10.30476/mejc.2021.90890.1594
Yaghobi Joybari, Ali, Jozian, Fariba, Alahyari, Sam, Nasiri, Saeed, Samsami, Majid, Sandoughdaran, Saleh. (1401). 'Role of DW-MRI in Predicting Pathologic Complete Response after Neoadjuvant Chemoradiation in Patients with Rectal Cancer', سامانه مدیریت نشریات علمی, 14(1), pp. 146-152. doi: 10.30476/mejc.2021.90890.1594
Yaghobi Joybari, Ali, Jozian, Fariba, Alahyari, Sam, Nasiri, Saeed, Samsami, Majid, Sandoughdaran, Saleh. Role of DW-MRI in Predicting Pathologic Complete Response after Neoadjuvant Chemoradiation in Patients with Rectal Cancer. سامانه مدیریت نشریات علمی, 1401; 14(1): 146-152. doi: 10.30476/mejc.2021.90890.1594

Role of DW-MRI in Predicting Pathologic Complete Response after Neoadjuvant Chemoradiation in Patients with Rectal Cancer

Middle East Journal of Cancer
مقاله 15، دوره 14، شماره 1 - شماره پیاپی 53، فروردین 2023، صفحه 146-152    اصل مقاله (642.1 K)
نوع مقاله: Original Article(s)
شناسه دیجیتال (DOI): 10.30476/mejc.2021.90890.1594
نویسندگان
Ali Yaghobi Joybari1؛ Fariba Jozian* 1؛ Sam Alahyari2؛ Saeed Nasiri3؛ Majid Samsami4؛ Saleh Sandoughdaran5
1Department of Radiation Oncology, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3Department of Radiology, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
4Department of General Surgery, Shahid Beheshti University of Medical Sciences, Tehran, Iran
5Department of Clinical Oncology, St. Luke’s Cancer Centre, Royal Surrey County Hospital, Guildford, UK
چکیده
Background: Following neoadjuvant chemoradiation, 25% of patients with rectal cancer experience pathologic complete response (pCR). With the appropriate imaging method for this group of patients, it would be possible to use less invasive methods. The aim of this study was to assess the ability of diffusion-weighted magnetic resonance imaging to predict pCR after neoadjuvant chemoradiation in patients with rectal cancer.
Method: In this prospective study, 19 patients with rectal cancer were examined. Magnetic resonance imaging of patients with diffusion-weighted imaging was performed in two stages: one week before the start of chemoradiotherapy (CRT) and seven weeks after the end of CRT to evaluate the results of treatment. Apparent diffusion coefficient (ADC) was measured before and after treatment. The percentage of ADC (% ΔADC) increment was also calculated. The patients were divided into three groups according to the surgical report: complete responders, partial responders, and non-responders. Optimal cut-off point was determined via ROC diagram.
Results: The mean age of the patients was 52.9 (29-73) years. There were no significant associations between pre and postoperative ADC values and pCR. However, % ΔADC had a significant relationship with complete response to treatment. Based on the ROC chart, the value of 15% was selected as cut-off with 56% specificity and 67% sensitivity. The positive and negative predicting values were 77.8% and 40%, respectively.
Conclusion: The mean %ΔADC increase seems to be a valid tool to differentiate complete responders from non-responders after CRT in locally advanced rectal cancer.
کلیدواژه‌ها
Rectum neoplasms؛ Chemoradiotherapy؛ Apparent diffusion coefficient؛ Diffusion magnetic resonance imaging؛ Neoadjuvant treatment
مراجع
  1. Azadeh S, Moghimi-Dehkordi B, Fatem S, Pourhoseingholi M, Ghiasi S, Zali M. Colorectal cancer in Iran: an epidemiological study. Asian Pac J Cancer Prev. 2008 ; 9(1):123-6.
  2. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin. 2020;70(1):7-30. doi: 10.3322/caac.21590.
  3. Saraste D, Järås J, Martling A. Population-based analysis of outcomes with early-age colorectal cancer. Br J Surg. 2020; 107(3):301-9. doi: 10.1002/ bjs.11333.
  4. Nacion A, Park Y, Kim N. Contemporary management of locally advanced rectal cancer: resolving issues, controversies and shifting paradigms. Chin J Cancer Res. 2018; 30(1):131-46. doi: 10.21147/j.issn.1000- 9604.2018.01.14.
  5. Clermonts SHEM, Köeter T, Pottel H, Stassen LPS, Wasowicz DK, Zimmerman DDE. Outcomes of completion total mesorectal excision are not compromised by prior transanal minimally invasive surgery. Colorectal Dis. 2020;22(7):790-8. doi: 10.1111/codi.14962.
  6. Lorimer PD, Motz BM, Kirks RC, Boselli DM, Walsh KK, Prabhu RS, et al. Pathologic complete response rates after neoadjuvant treatment in rectal cancer: an analysis of the national cancer database. Ann Surg Oncol. 2017; 24(8):2095-103. doi: 10.1245/s10434- 017-5873-8.
  7. Maas M, Lambregts DM, Nelemans PJ, Heijnen LA, Martens MH, Leijtens JW, et al. Assessment of clinical complete response after chemoradiation for rectal cancer with digital rectal examination, endoscopy, and MRI: selection for organ-saving treatment. Ann Surg Oncol. 2015; 22(12):3873-80. doi: 10.1245/s10434- 015-4687-9.
  8. Gollub M, Gultekin D, Akin O, Do R, Fuqua J, Gonen M, et al. Dynamic contrast enhanced-MRI for the detection of pathological complete response to neoadjuvant chemotherapy for locally advanced rectal cancer. Eur Radiol. 2012; 22(4):821-31. doi: 10.1007/s00330-011-2321-1.
  9. Dzik-Jurasz A, Domenig C, George M, Wolber J, Padhani A, Brown G, et al. Diffusion MRI for prediction of response of rectal cancer to chemoradiation. Lancet. 2002;360(9329):307-8. doi: 10.1016/S0140-6736(02)09520-X.
  10. Joye I, Deroose CM, Vandecaveye V, Haustermans K. The role of diffusion-weighted MRI and 18F-FDG PET/CT in the prediction of pathologic complete response after radiochemotherapy for rectal cancer: a systematic review. Radiother Oncol. 2014;113(2):158- 65. doi: 10.1016/j.radonc.2014.11.026.
  11. Musio D, De Felice F, Magnante AL, Ciolina M, De Cecco CN, Rengo M, et al. Diffusion-weighted magnetic resonance application in response prediction before, during, and after neoadjuvant radiochemotherapy in primary rectal cancer carcinoma. Biomed Res Int. 2013; 2013:740195. doi: 10.1155/2013/740195.
  12. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394-424. doi: 10.3322/caac.21492. Erratum in: CA Cancer J Clin. 2020;70(4):313.
  13. Rawla P, Sunkara T, Barsouk A. Epidemiology of colorectal cancer: incidence, mortality, survival, and risk factors. Prz Gastroenterol. 2019; 14(2):89-103. doi: 10.5114/pg.2018.81072.
  14. Sun Y, Zhang Y, Wu X, Lin H, Lu X, Huang Y, et al. Prognostic significance of neoadjuvant rectal score in locally advanced rectal cancer after neoadjuvant chemoradiotherapy and construction of a prediction model. J Surg Oncol. 2018;117(4):737-44. doi: 10.1002/jso.24907.
  15. Malekzadeh Moghani M, Alahyari S, Moradi A, Nasiri M. Pathological predictors of response to neoadjuvant treatment in rectal carcinoma. J Gastrointest Cancer. 2021;52(2):690-5. doi: 10.1007/s12029-020-00450- 8.
  16. Patel UB, Taylor F, Blomqvist L, Christopher George, Hywel Evans, Paris Tekkis, et al. Magnetic resonance imaging-detected tumor response for locally advanced rectal cancer predicts survival outcomes: MERCURY experience. J Clin Oncol. 2011;29(28):3753-60. doi: 10.1200/JCO.2011.34.9068.
  17. 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(6):1827-35. doi: 10.2214/ AJR.08.1004.
  18. Horvat N, Carlos Tavares Rocha C, Clemente Oliveira B, Petkovska I, Gollub MJ. MRI of rectal cancer: Tumor staging, imaging techniques, and management. Radiographics. 2019;39(2):367-87. doi: 10.1148/rg. 2019180114.
  19. Monguzzi L, Ippolito D, Bernasconi DP, Trattenero C, Galimberti S, Sironi S. Locally advanced rectal cancer: value of ADC mapping in prediction of tumor response to radiochemotherapy. Eur J Radiol. 2013; 82(2):234-40. doi: 10.1016/j.ejrad.2012.09.027.
  20. White NS, McDonald C, Farid N, Kuperman J, Karow D, Schenker-Ahmed NM, et al. Diffusion-weighted imaging in cancer: physical foundations and applications of restriction spectrum imaging. Cancer Res. 2014; 74(17):4638-52. doi: 10.1158/0008- 5472.CAN-13-3534.
  21. Kim YC, Lim JS, Keum KC, Kim KA, Myoung S, Shin SJ, et al. Comparison of diffusion-weighted MRI and MR volumetry in the evaluation of early treatment outcomes after preoperative chemoradiotherapy for locally advanced rectal cancer. J Magn Reson Imaging. 2011; 34(3):570-6. doi: 10.1002/jmri.22696.
  22. DeVries AF, Kremser C, Hein PA, Griebel J, Krezcy A, Öfner D, et al. Tumor microcirculation and diffusion predict therapy outcome for primary rectal carcinoma. Int J Radiat Oncol Biol Phys. 2003;56(4):958-65. doi: 10.1016/s0360-3016(03)00208-6.
  23. Chen YG, Chen MQ, Guo YY, Li SC, Wu JX, Xu BH. Apparent diffusion coefficient predicts pathology complete response of rectal cancer treated with neoadjuvant chemoradiotherapy. PLoS One. 2016; 11(4):e0153944. doi: 10.1371/journal.pone.0153944.
  24. Sun YS, Zhang XP, Tang L, Ji JF, Gu J, Cai Y, et al. Locally advanced rectal carcinoma treated with preoperative chemotherapy and radiation therapy: preliminary analysis of diffusion-weighted MR imaging for early detection of tumor histopathologic downstaging. Radiology. 2010; 254(1):170-8. doi: 10.1148/radiol.2541082230.
  25. Doi H, Beppu N, Kato T, Noda M, Yanagi H, Tomita N, et al. Diffusion-weighted magnetic resonance imaging for prediction of tumor response to neoadjuvant chemoradiotherapy using irinotecan plus S-1 for rectal cancer. Mol Clin Oncol. 2015; 3(5):1129- 34. doi: 10.3892/mco.2015.604.
  26. Genovesi D, Filippone A, Cefaro GA, Trignani M, Vinciguerra A, Augurio A, et al. Diffusion-weighted magnetic resonance for prediction of response after neoadjuvant chemoradiation therapy for locally advanced rectal cancer: preliminary results of a monoinstitutional prospective study. Eur J Surg Oncol. 2013; 39(10):1071-8. doi: 10.1016/j.ejso.2013.07.090.
  27. Foti PV, Privitera G, Piana S, Palmucci S, Spatola C, Bevilacqua R, et al. Locally advanced rectal cancer: qualitative and quantitative evaluation of diffusionweighted MR imaging in the response assessment after neoadjuvant chemo-radiotherapy. Eur J Radiol Open. 2016;3:145-52. doi: 10.1016/j.ejro.2016.06.003.
  28. Lee EM, Hong YS, Kim KP, Lee JL, Kim SY, Park YS, et al. Phase II study of preoperative chemoradiation with S-1 plus oxaliplatin in patients with locally advanced rectal cancer. Cancer Sci. 2013;104(1):111- 5. doi: 10.1111/cas.12041.
  29. 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(2):123-34. doi: 10.1159/000363075.
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