Literature DB >> 19244043

Locally advanced rectal cancer: MR imaging in prediction of response after preoperative chemotherapy and radiation therapy.

Brunella Barbaro1, Cecilia Fiorucci, Carmen Tebala, Vincenzo Valentini, Maria Antonietta Gambacorta, Fabio Maria Vecchio, Gianluca Rizzo, Claudio Coco, Antonio Crucitti, Carlo Ratto, Lorenzo Bonomo.   

Abstract

PURPOSE: To prospectively differentiate, at magnetic resonance (MR) imaging, patients with locally advanced nonmucinous rectal cancer who will respond to long-course chemotherapy and radiation therapy (CRT) from those who will not respond, with histopathologic results as the reference standard.
MATERIALS AND METHODS: Institutional review board approval for this study was obtained, and all patients provided written informed consent. High-spatial-resolution T2-weighted MR images were acquired before and 6-8 weeks after CRT in 53 patients (33 men, 20 women; mean age, 63 years; age range, 42-79 years). Patients were categorized as responders to CRT (patients with T3 cancer that converted to T2 or a lower stage, patients with T4 cancer that converted to T3 or a lower stage) or as nonresponders (patients with stable or progressive disease). At the posttreatment MR imaging examination, a decrease in signal intensity was considered to represent a morphologic response with fibrosis. Before CRT and surgery, tumor volume was calculated at MR imaging by multiplying cross-sectional area by section thickness. Tumor length was measured at MR imaging and in the histopathologic specimen. Nodal downstaging was evaluated. The relationship between pathologic response, morphologic MR imaging response, and percentage volume reduction was evaluated with the Mann-Whitney-Wilcoxon two-sample test.
RESULTS: Morphologic response assessment with MR imaging achieved a positive predictive value (PPV) of 84.2% (32 of 38) and a negative predictive value (NPV) of 66.7% (10 of 15). Volume reduction extent (> or = 70%) was significantly different between patients in whom disease was downstaged and those in whom it was not downstaged (P = .000005) and showed additional diagnostic value, with an overall accuracy of 86.8% (46 of 53). Presurgical MR imaging and histopathologic tumor length did not show a significant difference. MR imaging accuracy for lymph node (N) stage was 86.8% (46 of 53) on the basis of morphologic criteria.
CONCLUSION: After CRT, morphologic and volumetric evaluation at MR imaging had a high PPV and a low NPV for response assessment. The detection of small clusters of residual tumor cells within fibrosis remains a problem. SUPPLEMENTAL MATERIAL: http://radiology.rsnajnls.org/cgi/content/full/250/3/730/DC1. RSNA, 2009

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Year:  2009        PMID: 19244043     DOI: 10.1148/radiol.2503080310

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  49 in total

1.  Novel Carcinoembryonic-Antigen-(CEA)-Specific Pretargeting System to Assess Tumor Cell Viability after Irradiation of Colorectal Cancer Cells.

Authors:  Birgit Meller; Margarete Rave-Fränck; Christian Breunig; Markus Schirmer; Manfred Baehre; Roger Nadrowitz; Torsten Liersch; Johannes Meller
Journal:  Strahlenther Onkol       Date:  2011-01-24       Impact factor: 3.621

2.  T2 weighted signal intensity evolution may predict pathological complete response after treatment for rectal cancer.

Authors:  Ewelina Kluza; Esther D Rozeboom; Monique Maas; Milou Martens; Doenja M J Lambregts; Jos Slenter; Geerard L Beets; Regina G H Beets-Tan
Journal:  Eur Radiol       Date:  2012-07-10       Impact factor: 5.315

3.  Apparent diffusion coefficient for evaluating tumour response to neoadjuvant chemoradiation therapy for locally advanced rectal cancer.

Authors:  Seung Ho Kim; Jae Young Lee; Jeong Min Lee; Joon Koo Han; Byung Ihn Choi
Journal:  Eur Radiol       Date:  2010-10-27       Impact factor: 5.315

4.  The value of diffusion kurtosis magnetic resonance imaging for assessing treatment response of neoadjuvant chemoradiotherapy in locally advanced rectal cancer.

Authors:  Jing Yu; Qing Xu; Jia-Cheng Song; Yan Li; Xin Dai; Dong-Ya Huang; Ling Zhang; Yang Li; Hai-Bin Shi
Journal:  Eur Radiol       Date:  2016-09-08       Impact factor: 5.315

Review 5.  Multimodal imaging evaluation in staging of rectal cancer.

Authors:  Suk Hee Heo; Jin Woong Kim; Sang Soo Shin; Yong Yeon Jeong; Heoung-Keun Kang
Journal:  World J Gastroenterol       Date:  2014-04-21       Impact factor: 5.742

6.  Is there a benefit in using magnetic resonance imaging in the prediction of preoperative neoadjuvant therapy response in locally advanced rectal cancer?

Authors:  Lian-Ming Wu; Jiong Zhu; Jiani Hu; Yan Yin; Hai-Yan Gu; Jia Hua; Jie Chen; Jian-Rong Xu
Journal:  Int J Colorectal Dis       Date:  2013-03-21       Impact factor: 2.571

7.  Apparent diffusion coefficient modifications in assessing gastro-oesophageal cancer response to neoadjuvant treatment: comparison with tumour regression grade at histology.

Authors:  Francesco De Cobelli; Francesco Giganti; Elena Orsenigo; Michaela Cellina; Antonio Esposito; Giulia Agostini; Luca Albarello; Elena Mazza; Alessandro Ambrosi; Carlo Socci; Carlo Staudacher; Alessandro Del Maschio
Journal:  Eur Radiol       Date:  2013-04-16       Impact factor: 5.315

Review 8.  Volumetric analysis at abdominal CT: oncologic and non-oncologic applications.

Authors:  Virginia B Planz; Meghan G Lubner; Perry J Pickhardt
Journal:  Br J Radiol       Date:  2018-11-30       Impact factor: 3.039

9.  Pelvic MRI after induction chemotherapy and before long-course chemoradiation therapy for rectal cancer: What are the imaging findings?

Authors:  Marc J Gollub; Ivana Blazic; David D B Bates; Naomi Campbell; Andrea Knezevic; Mithat Gonen; Patricio Lynn; Martin R Weiser; Julio Garcia-Aguilar; Andreas M Hötker; Andrea Cercek; Leonard Saltz
Journal:  Eur Radiol       Date:  2018-10-02       Impact factor: 5.315

10.  Coregistration of Preoperative MRI with Ex Vivo Mesorectal Pathology Specimens to Spatially Map Post-treatment Changes in Rectal Cancer Onto In Vivo Imaging: Preliminary Findings.

Authors:  Jacob Antunes; Satish Viswanath; Justin T Brady; Benjamin Crawshaw; Pablo Ros; Scott Steele; Conor P Delaney; Raj Paspulati; Joseph Willis; Anant Madabhushi
Journal:  Acad Radiol       Date:  2018-01-19       Impact factor: 3.173

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