Imaging predictors of treatment outcomes in rectal cancer: An overview

被引:19
作者
Mahadevan, Lakshmi Shree [1 ]
Zhong, James [2 ]
Venkatesulu, BhanuPrasad [1 ]
Kaur, Harmeet [3 ]
Bhide, Shreerang [4 ]
Minsky, Bruce [1 ]
Chu, William [5 ]
Intven, Martijn [6 ]
van der Heide, Uulke A. [7 ]
van Triest, Baukelien [7 ]
Krishnan, Sunil [1 ]
Hall, William [8 ]
机构
[1] Univ Texas MD Anderson Canc Ctr, Dept Radiat Oncol, Unit 097,Y6-6006a,1515 Holcombe Blvd, Houston, TX 77030 USA
[2] Emory Univ, Dept Radiat Oncol, Atlanta, GA 30322 USA
[3] Univ Texas MD Anderson Canc Ctr, Dept Diagnost Imaging, Houston, TX 77030 USA
[4] Royal Marsden Hosp, Dept Radiat Oncol, London, England
[5] Sunnybrook Univ, Dept Radiat Oncol, Toronto, ON, Canada
[6] Univ Utrecht, Dept Radiat Oncol, Utrecht, Netherlands
[7] Netherlands Canc Inst, Dept Radiat Oncol, Amsterdam, Netherlands
[8] Med Coll Wisconsin, Dept Radiat Oncol, 8701 Watertown Plank Rd, Milwaukee, WI 53226 USA
关键词
Rectal cancer; Imaging; Response; Chemoradiation; Magnetic resonance; Computed tomography; Positron emission; CIRCUMFERENTIAL RESECTION MARGIN; CONTRAST-ENHANCED-MRI; NEOADJUVANT CHEMORADIATION THERAPY; PATHOLOGICAL COMPLETE RESPONSE; EXTRAMURAL VENOUS INVASION; PREOPERATIVE CHEMORADIOTHERAPY; PROGNOSTIC-SIGNIFICANCE; TUMOR RESPONSE; DIAGNOSTIC-ACCURACY; COMPUTED-TOMOGRAPHY;
D O I
10.1016/j.critrevonc.2018.06.009
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The treatment protocols for rectal cancer continue to evolve, with increasing acceptance of a watch-and-wait policy for clinical complete responders to neoadjuvant chemoradiation therapy. It still, however, remains unclear who is likely to achieve a pathological complete response, which unequivocally portends a very favorable overall prognosis. Evolution of modern imaging techniques has paved the way for potential prediction of treatment response based on baseline, on-treatment, early post-treatment and subsequent follow-up imaging alone. Independent of tumor grade and stage, tumor marker levels, tumor size, radiation dose and fractionation, chemotherapy regimen, and extent/type of surgery, imaging biomarkers like circumferential resection margin (CRM), extramural venous space invasion (EMVI), imaging-based tumor regression grade, perfusion/diffusion-based functional imaging parameters, and imaging-based metabolic response have the ability to predict the likelihood of local recurrence and/or distant metastases. Textural features of images can add a further dimension to the predictive power of imaging. Finally, integration of genomic data with imaging biomarkers can potentially discern molecular mechanisms associated with distinct radiographic attributes of tumors. In this review, we evaluate and summarize the evidence to date of each imaging modality as a biomarker and its contribution to personalized decision making in rectal cancer.
引用
收藏
页码:153 / 162
页数:10
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