TY - JOUR
T1 - Imaging predictors of treatment outcomes in rectal cancer
T2 - An overview
AU - Mahadevan, Lakshmi Shree
AU - Zhong, Jim
AU - Venkatesulu, BhanuPrasad
AU - Kaur, Harmeet
AU - Bhide, Shreerang
AU - Minsky, Bruce
AU - Chu, William
AU - Intven, Martijn
AU - van der Heide, Uulke A
AU - van Triest, Baukelien
AU - Krishnan, Sunil
AU - Hall, William A
N1 - Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2018/9
Y1 - 2018/9
N2 - 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.
AB - 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.
KW - Chemoradiation
KW - Computed tomography
KW - Imaging
KW - Magnetic resonance
KW - Positron emission
KW - Rectal cancer
KW - Response
UR - http://www.scopus.com/inward/record.url?scp=85050493718&partnerID=8YFLogxK
U2 - 10.1016/j.critrevonc.2018.06.009
DO - 10.1016/j.critrevonc.2018.06.009
M3 - Review article
C2 - 30097234
SN - 1040-8428
VL - 129
SP - 153
EP - 162
JO - Critical Reviews in Oncology Hematology
JF - Critical Reviews in Oncology Hematology
ER -