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Review

MRI Evaluation of Complete Response of Locally Advanced Rectal Cancer After Neoadjuvant Therapy: Current Status and Future Trends

, , ORCID Icon, , , & ORCID Icon show all
Pages 4317-4328 | Published online: 01 Jun 2021

References

  • Petrelli F , Trevisan F , Cabiddu M , et al. Total neoadjuvant therapy in rectal cancer: a systematic review and meta-analysis of treatment outcomes. Ann Surg . 2020;271(3):440–448. doi:10.1097/SLA.0000000000003471 31318794
  • De Felice F , Benevento I , Magnante AL , et al. Clinical benefit of adding oxaliplatin to standard neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a meta-analysis: oxaliplatin in neoadjuvant treatment for rectal cancer. BMC Cancer . 2017;17(1):325. doi:10.1186/s12885-017-3323-4 28499428
  • Smith JJ , Strombom P , Chow OS , et al. Assessment of a watch-and-wait strategy for rectal cancer in patients with a complete response after neoadjuvant therapy. JAMA Oncol . 2019;5(4):e185896. doi:10.1001/jamaoncol.2018.5896 30629084
  • Zhang C , Ye F , Liu Y , Ouyang H , Zhao X , Zhang H . Morphologic predictors of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Oncotarget . 2018;9(4):4862–4874. doi:10.18632/oncotarget.23419 29435147
  • Martens MH , van Heeswijk MM , van den Broek JJ , et al. Prospective, multicenter validation study of magnetic resonance volumetry for response assessment after preoperative chemoradiation in rectal cancer: can the results in the literature be reproduced? Int J Radiat Oncol Biol Phys . 2015;93(5):1005–1014. doi:10.1016/j.ijrobp.2015.09.008 26581139
  • Palmisano A , Esposito A , Di Chiara A , et al. Could early tumour volume changes assessed on morphological MRI predict the response to chemoradiation therapy in locally-advanced rectal cancer? Clin Radiol . 2018;73(6):555–563. doi:10.1016/j.crad.2018.01.007 29459138
  • Chandramohan A , Siddiqi UM , Mittal R , et al. Diffusion weighted imaging improves diagnostic ability of MRI for determining complete response to neoadjuvant therapy in locally advanced rectal cancer. Eur J Radiol Open . 2020;7:100223. doi:10.1016/j.ejro.2020.100223 32140502
  • Xu Q , Xu Y , Sun H , et al. Quantitative intravoxel incoherent motion parameters derived from whole-tumor volume for assessing pathological complete response to neoadjuvant chemotherapy in locally advanced rectal cancer. J Mag Res Imag . 2018;48(1):248–258. doi:10.1002/jmri.25931
  • van der Sluis FJ , Couwenberg AM , de Bock GH , et al. Population-based study of morbidity risk associated with pathological complete response after chemoradiotherapy for rectal cancer. Br J Surg . 2020;107(1):131–139. doi:10.1002/bjs.11324 31625143
  • Kreis ME , Ruppert R , Kube R , et al. MRI-based use of neoadjuvant chemoradiotherapy in rectal carcinoma: surgical quality and histopathological outcome of the OCUM Trial. Ann Surg Oncol . 2020;27(2):417–427. doi:10.1245/s10434-019-07696-y 31414295
  • Maas M , Dijkhoff RAP , Beets-Tan R . Rectal cancer: assessing response to neoadjuvant therapy. Magn Reson Imaging Clin N Am . 2020;28(1):117–126. doi:10.1016/j.mric.2019.09.004 31753231
  • Suzuki C , Torkzad MR , Tanaka S , et al. The importance of rectal cancer MRI protocols on interpretation accuracy. World J Surg Oncol . 2008;6(1):89. doi:10.1186/1477-7819-6-89 18715510
  • Schurink NW , Lambregts DMJ , Beets-Tan RGH . Diffusion-weighted imaging in rectal cancer: current applications and future perspectives. Br J Radiol . 2019;92(1096):20180655. doi:10.1259/bjr.20180655 30433814
  • Kalisz KR , Enzerra MD , Paspulati RM . MRI evaluation of the response of rectal cancer to neoadjuvant chemoradiation therapy. Radiographics . 2019;39(2):538–556. doi:10.1148/rg.2019180075 30844347
  • Feeney G , Sehgal R , Sheehan M , et al. Neoadjuvant radiotherapy for rectal cancer management. World J Gastroenterol . 2019;25(33):4850–4869. doi:10.3748/wjg.v25.i33.4850 31543678
  • Kim S , Han K , Seo N , et al. T2-weighted signal intensity-selected volumetry for prediction of pathological complete response after preoperative chemoradiotherapy in locally advanced rectal cancer. Eur Radiol . 2018;28(12):5231–5240. doi:10.1007/s00330-018-5520-1 29858637
  • Neri E , Guidi E , Pancrazi F , et al. MRI tumor volume reduction rate vs tumor regression grade in the pre-operative re-staging of locally advanced rectal cancer after chemo-radiotherapy. Eur J Radiol . 2015;84(12):2438–2443. doi:10.1016/j.ejrad.2015.08.008 26462793
  • Park CH , Kim HC , Cho YB , et al. Predicting tumor response after preoperative chemoradiation using clinical parameters in rectal cancer. World J Gastroenterol . 2011;17(48):5310–5316. doi:10.3748/wjg.v17.i48.5310 22219601
  • Kim YC , Lim JS , Keum KC , 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 Mag Res Imag . 2011;34(3):570–576. doi:10.1002/jmri.22696
  • Yu SK , Tait D , Chau I , Brown G . MRI predictive factors for tumor response in rectal cancer following neoadjuvant chemoradiation therapy–implications for induction chemotherapy? Int J Radiat Oncol Biol Phys . 2013;87(3):505–511. doi:10.1016/j.ijrobp.2013.06.2052 24074924
  • Das P , Skibber JM , Rodriguez-Bigas MA , et al. Predictors of tumor response and downstaging in patients who receive preoperative chemoradiation for rectal cancer. Cancer . 2007;109(9):1750–1755. doi:10.1002/cncr.22625 17387743
  • Armstrong D , Raissouni S , Price Hiller J , et al. Predictors of pathologic complete response after neoadjuvant treatment for rectal cancer: a Multicenter Study. Clin Colorectal Cancer . 2015;14(4):291–295. doi:10.1016/j.clcc.2015.06.001 26433487
  • Garland ML , Vather R , Bunkley N , Pearse M , Bissett IP . Clinical tumour size and nodal status predict pathologic complete response following neoadjuvant chemoradiotherapy for rectal cancer. Int J Colorectal Dis . 2014;29(3):301–307. doi:10.1007/s00384-013-1821-7 24420737
  • Patel SV , Roxburgh CS , Vakiani E , et al. Distance to the anal verge is associated with pathologic complete response to neoadjuvant therapy in locally advanced rectal cancer. J Surg Oncol . 2016;114(5):637–641. doi:10.1002/jso.24358 27641934
  • Bates DDB , Golia Pernicka JS , Fuqua JL 3rd , et al. Diagnostic accuracy of b800 and b1500 DWI-MRI of the pelvis to detect residual rectal adenocarcinoma: a multi-reader study. Abdoml Radiol . 2020;45(2):293–300. doi:10.1007/s00261-019-02283-x
  • Sathyakumar K , Chandramohan A , Masih D , Jesudasan MR , Pulimood A , Eapen A . Best MRI predictors of complete response to neoadjuvant chemoradiation in locally advanced rectal cancer. Br J Radiol . 2016;89(1060):20150328. doi:10.1259/bjr.20150328 26828967
  • Lambregts DM , Rao SX , Sassen S , et al. MRI and diffusion-weighted mri volumetry for identification of complete tumor responders after preoperative chemoradiotherapy in patients with rectal cancer: a bi-institutional Validation Study. Ann Surg . 2015;262(6):1034–1039. doi:10.1097/SLA.0000000000000909 25211270
  • Yang L , Xia C , Liu D , et al. The role of readout-segmented echo-planar imaging-based diffusion-weighted imaging in evaluating tumor response of locally advanced rectal cancer after neoadjuvant chemoradiotherapy. Acta Radiol . 2020;61(9):1155–1164. doi:10.1177/0284185119897354 31924105
  • Horvat N , Veeraraghavan H , Khan M , et al. MR imaging of rectal cancer: radiomics analysis to assess treatment response after neoadjuvant therapy. Radiology . 2018;287(3):833–843. doi:10.1148/radiol.2018172300 29514017
  • Choi MH , Oh SN , Rha SE , et al. Diffusion-weighted imaging: apparent diffusion coefficient histogram analysis for detecting pathologic complete response to chemoradiotherapy in locally advanced rectal cancer. J Mag Res Imag . 2016;44(1):212–220. doi:10.1002/jmri.25117
  • Chidambaram V , Brierley JD , Cummings B , et al. Investigation of volumetric apparent diffusion coefficient histogram analysis for assessing complete response and clinical outcomes following pre-operative chemoradiation treatment for rectal carcinoma. Abdoml Radiol . 2017;42(5):1310–1318. doi:10.1007/s00261-016-1010-6
  • Kim SH , Lee JY , Lee JM , Han JK , Choi BI . Apparent diffusion coefficient for evaluating tumour response to neoadjuvant chemoradiation therapy for locally advanced rectal cancer. Eur Radiol . 2011;21(5):987–995. doi:10.1007/s00330-010-1989-y 20978768
  • Intven M , Reerink O , Philippens ME . Diffusion-weighted MRI in locally advanced rectal cancer: pathological response prediction after neo-adjuvant radiochemotherapy. Strahlenther Onkol . 2013;189(2):117–122. doi:10.1007/s00066-012-0270-5 23283590
  • Blazic IM , Lilic GB , Gajic MM . Quantitative assessment of rectal cancer response to neoadjuvant combined chemotherapy and radiation therapy: comparison of three methods of positioning region of interest for ADC measurements at diffusion-weighted MR imaging. Radiology . 2016;282(2):614. doi:10.1148/radiol.2017164045
  • Enkhbaatar NE , Inoue S , Yamamuro H , et al. MR imaging with apparent diffusion coefficient histogram analysis: evaluation of locally advanced rectal cancer after chemotherapy and radiation therapy. Radiology . 2018;288(1):129–137. doi:10.1148/radiol.2018171804 29558294
  • Lambrecht M , Vandecaveye V , De Keyzer F , et al. Value of diffusion-weighted magnetic resonance imaging for prediction and early assessment of response to neoadjuvant radiochemotherapy in rectal cancer: preliminary results. Int J Radiat Oncol Biol Phys . 2012;82(2):863–870. doi:10.1016/j.ijrobp.2010.12.063 21398048
  • Liang CY , Chen MD , Zhao XX , Yan CG , Mei YJ , Xu YK . Multiple mathematical models of diffusion-weighted magnetic resonance imaging combined with prognostic factors for assessing the response to neoadjuvant chemotherapy and radiation therapy in locally advanced rectal cancer. Eur J Radiol . 2019;110:249–255. doi:10.1016/j.ejrad.2018.12.005 30599868
  • Ha HI , Kim AY , Yu CS , Park SH , Ha HK . Locally advanced rectal cancer: diffusion-weighted MR tumour volumetry and the apparent diffusion coefficient for evaluating complete remission after preoperative chemoradiation therapy. Eur Radiol . 2013;23(12):3345–3353. doi:10.1007/s00330-013-2936-5 23812242
  • Hu F , Tang W , Sun Y , et al. The value of diffusion kurtosis imaging in assessing pathological complete response to neoadjuvant chemoradiation therapy in rectal cancer: a comparison with conventional diffusion-weighted imaging. Oncotarget . 2017;8(43):75597–75606. doi:10.18632/oncotarget.17491 29088894
  • De Felice F , Magnante AL , Musio D , et al. Diffusion-weighted magnetic resonance imaging in locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy. Eur J Surg Oncol . 2017;43(7):1324–1329. doi:10.1016/j.ejso.2017.03.010 28363512
  • Curvo-Semedo L , Lambregts DM , Maas M , et al. Rectal cancer: assessment of complete response to preoperative combined radiation therapy with chemotherapy–conventional MR volumetry versus diffusion-weighted MR imaging. Radiology . 2011;260(3):734–743. doi:10.1148/radiol.11102467 21673229
  • Iima M , Le Bihan D . Clinical intravoxel incoherent motion and diffusion MR imaging: past, present, and future. Radiology . 2016;278(1):13–32. doi:10.1148/radiol.2015150244 26690990
  • Lu W , Jing H , Ju-Mei Z , et al. Intravoxel incoherent motion diffusion-weighted imaging for discriminating the pathological response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Sci Rep . 2017;7(1):8496. doi:10.1038/s41598-017-09227-9 28819296
  • Zhu HB , Zhang XY , Zhou XH , et al. Assessment of pathological complete response to preoperative chemoradiotherapy by means of multiple mathematical models of diffusion-weighted MRI in locally advanced rectal cancer: a prospective single-center study. J Mag Res Imag . 2017;46(1):175–183. doi:10.1002/jmri.25567
  • Fusco R , Sansone M , Granata V , et al. Diffusion and perfusion MR parameters to assess preoperative short-course radiotherapy response in locally advanced rectal cancer: a comparative explorative study among standardized index of shape by DCE-MRI, intravoxel incoherent motion- and diffusion kurtosis imaging-derived parameters. Abdoml Radiol . 2019;44(11):3683–3700. doi:10.1007/s00261-018-1801-z
  • Nougaret S , Vargas HA , Lakhman Y , et al. Intravoxel incoherent motion-derived histogram metrics for assessment of response after combined chemotherapy and radiation therapy in rectal cancer: initial experience and comparison between single-section and volumetric analyses. Radiology . 2016;280(2):446–454. doi:10.1148/radiol.2016150702 26919562
  • Jensen JH , Helpern JA , Ramani A , Lu H , Kaczynski K . Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med . 2005;53(6):1432–1440. doi:10.1002/mrm.20508 15906300
  • Yu J , Xu Q , Song JC , et al. The value of diffusion kurtosis magnetic resonance imaging for assessing treatment response of neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Eur Radiol . 2017;27(5):1848–1857. doi:10.1007/s00330-016-4529-6 27631106
  • Ciolina M , Caruso D , De Santis D , et al. Dynamic contrast-enhanced magnetic resonance imaging in locally advanced rectal cancer: role of perfusion parameters in the assessment of response to treatment. Radiol Med . 2019;124(5):331–338. doi:10.1007/s11547-018-0978-0 30560501
  • Tong T , Sun Y , Gollub MJ , et al. Dynamic contrast-enhanced MRI: use in predicting pathological complete response to neoadjuvant chemoradiation in locally advanced rectal cancer. J Mag Res Imag . 2015;42(3):673–680.
  • Gollub MJ , Gultekin DH , Akin O , 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):821–831. doi:10.1007/s00330-011-2321-1 22101743
  • Zou H-H , Yu J , Wei Y , Wu J-F , Xu Q . Response to neoadjuvant chemoradiotherapy for locally advanced rectum cancer: texture analysis of dynamic contrast-enhanced MRI. J Mag Res Imag . 2019;49(3):885–893.
  • Gollub MJ , Tong T , Weiser M , Zheng J , Gonen M , Zakian KL . Limited accuracy of DCE-MRI in identification of pathological complete responders after chemoradiotherapy treatment for rectal cancer. Eur Radiol . 2017;27(4):1605–1612. doi:10.1007/s00330-016-4493-1 27436029
  • De Cecco CN , Ganeshan B , Ciolina M , et al. Texture analysis as imaging biomarker of tumoral response to neoadjuvant chemoradiotherapy in rectal cancer patients studied with 3-T magnetic resonance. Invest Radiol . 2015;50(4):239–245. doi:10.1097/RLI.0000000000000116 25501017
  • Aker M , Ganeshan B , Afaq A , Wan S , Groves AM , Arulampalam T . Magnetic resonance texture analysis in identifying complete pathological response to neoadjuvant treatment in locally advanced rectal cancer. Dis Colon Rectum . 2019;62(2):163–170. doi:10.1097/DCR.0000000000001224 30451764
  • Yang L , Qiu M , Xia C , et al. Value of high-resolution DWI in combination with texture analysis for the evaluation of tumor response after preoperative chemoradiotherapy for locally advanced rectal cancer. AJR Am J Roentgenol . 2019;212(6):1–8. doi:10.2214/AJR.18.20689 30571164
  • Liu Z , Zhang XY , Shi YJ , et al. Radiomics analysis for evaluation of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Clin Cancer Res . 2017;23(23):7253–7262. doi:10.1158/1078-0432.CCR-17-1038 28939744
  • Liu S , Wen L , Hou J , et al. Predicting the pathological response to chemoradiotherapy of non-mucinous rectal cancer using pretreatment texture features based on intravoxel incoherent motion diffusion-weighted imaging. Abdoml Radiol . 2019;44(8):2689–2698. doi:10.1007/s00261-019-02032-0
  • Cui Y , Yang X , Shi Z , et al. Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Eur Radiol . 2019;29(3):1211–1220. doi:10.1007/s00330-018-5683-9 30128616
  • Nie K , Shi L , Chen Q , et al. Rectal cancer: assessment of neoadjuvant chemoradiation outcome based on radiomics of multiparametric MRI. Clin Cancer Res . 2016;22(21):5256–5264. doi:10.1158/1078-0432.CCR-15-2997 27185368
  • Shi L , Zhang Y , Nie K , et al. Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI. Magn Reson Imaging . 2019;61:33–40. doi:10.1016/j.mri.2019.05.003 31059768
  • Giannini V , Mazzetti S , Bertotto I , et al. Predicting locally advanced rectal cancer response to neoadjuvant therapy with (18)F-FDG PET and MRI radiomics features. Eur J Nucl Med Mol Imaging . 2019;46(4):878–888. doi:10.1007/s00259-018-4250-6 30637502
  • van Griethuysen JJM , Lambregts DMJ , Trebeschi S , et al. Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging MRI in rectal cancer. Abdoml Radiol . 2020;45(3):632–643. doi:10.1007/s00261-019-02321-8
  • Zhang XY , Wang L , Zhu HT , et al. Predicting rectal cancer response to neoadjuvant chemoradiotherapy using deep learning of diffusion kurtosis MRI. Radiology . 2020;296(1):190936. doi:10.1148/radiol.2020190936
  • Bibault JE , Giraud P , Housset M , et al. Deep learning and radiomics predict complete response after neo-adjuvant chemoradiation for locally advanced rectal cancer. Sci Rep . 2018;8(1):12611. doi:10.1038/s41598-018-30657-6 30135549