Literature DB >> 16928975

Rectal carcinoma: high-spatial-resolution MR imaging and T2 quantification in rectal cancer specimens.

Jens C Stollfuss1, Karen Becker, Andreas Sendler, Stefan Seidl, Marcus Settles, Florian Auer, Ambros Beer, Ernst J Rummeny, Klaus Woertler.   

Abstract

PURPOSE: To prospectively compare high-spatial-resolution T1-weighted, T2-weighted, and intermediate-weighted spectral fat-saturated magnetic resonance (MR) imaging for the differentiation of tumor from fibrosis and for delineation of rectal wall layers in rectal cancer specimens.
MATERIALS AND METHODS: The local ethics committee approved the protocol, and written informed consent was obtained from each patient. Thin-section high-spatial-resolution MR imaging was performed in specimens obtained from 23 patients (16 men, seven women; median age, 64 years; age range, 39-84 years) immediately after resection. Seven patients underwent neoadjuvant treatment. T1-weighted spin-echo, T2-weighted fast spin-echo, and intermediate-weighted spectral fat-saturated MR images were obtained in the transverse plane. Differences in signal intensity between tumor and fibrosis and between tumor and rectal wall layers were evaluated by using visual scoring and measurements of T2 relaxation time. Statistical differences were evaluated by using the Wilcoxon signed rank test and a mixed-model regression analysis. All images were compared with whole-mount histopathologic slices (n = 86).
RESULTS: T2-weighted MR images provided the best differentiation between tumor and fibrosis (P < .001). Mean visual signal intensity scores were -1.8 for T2-weighted MR images, -1.4 for intermediate-weighted spectral fat-saturated MR images, and -0.2 for T1-weighted MR images. T2 relaxation times were 97 msec +/- 4.6 for tumor and 70 msec +/- 3.8 for fibrosis (P < .001). Substantial overlap was noted between the tumor and the circular layer of the muscularis propria (97 msec +/- 2.1), and less overlap was noted between the tumor and the longitudinal layer of the muscularis propria (88 msec +/- 1.6).
CONCLUSION: T2-weighted MR imaging provides superior delineation of rectal wall layers and better differentiation of tumor from fibrosis in rectal cancer specimens compared with T1-weighted MR imaging and intermediate-weighted spectral fat-saturated MR imaging by using thin-section high-spatial-resolution sequences. (c) RSNA, 2006.

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Year:  2006        PMID: 16928975     DOI: 10.1148/radiol.2411050942

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


  13 in total

1.  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

2.  T2-weighted signal intensity-selected volumetry for prediction of pathological complete response after preoperative chemoradiotherapy in locally advanced rectal cancer.

Authors:  Sungwon Kim; Kyunghwa Han; Nieun Seo; Hye Jin Kim; Myeong-Jin Kim; Woong Sub Koom; Joong Bae Ahn; Joon Seok Lim
Journal:  Eur Radiol       Date:  2018-06-01       Impact factor: 5.315

3.  Temperature-corrected post-mortem 1.5 T MRI quantification of non-pathologic upper abdominal organs.

Authors:  Nicole Schwendener; Christian Jackowski; Frederick Schuster; Anders Persson; Marcel J Warntjes; Wolf -Dieter Zech
Journal:  Int J Legal Med       Date:  2017-06-17       Impact factor: 2.686

4.  Ferri-liposomes as an MRI-visible drug-delivery system for targeting tumours and their microenvironment.

Authors:  Georgy Mikhaylov; Ursa Mikac; Anna A Magaeva; Volya I Itin; Evgeniy P Naiden; Ivan Psakhye; Liane Babes; Thomas Reinheckel; Christoph Peters; Robert Zeiser; Matthew Bogyo; Vito Turk; Sergey G Psakhye; Boris Turk; Olga Vasiljeva
Journal:  Nat Nanotechnol       Date:  2011-08-07       Impact factor: 39.213

5.  Native T1 mapping for differentiating the histopathologic type, grade, and stage of rectal adenocarcinoma: a pilot study.

Authors:  Juan Li; Xuemei Gao; Marcel Dominik Nickel; Jingliang Cheng; Jinxia Zhu
Journal:  Cancer Imaging       Date:  2022-06-17       Impact factor: 5.605

6.  Colorectal Carcinoma: Local Tumor Staging and Assessment of Lymph Node Metastasis by High-Resolution MR Imaging in Surgical Specimens.

Authors:  Ichiro Yamada; Norio Yoshino; Akemi Tetsumura; Satoshi Okabe; Masayuki Enomoto; Kenichi Sugihara; Jiro Kumagai; Hitoshi Shibuya
Journal:  Int J Biomed Imaging       Date:  2010-01-31

7.  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

Review 8.  Identification of Tumor-Specific MRI Biomarkers Using Machine Learning (ML).

Authors:  Rima Hajjo; Dima A Sabbah; Sanaa K Bardaweel; Alexander Tropsha
Journal:  Diagnostics (Basel)       Date:  2021-04-21

9.  Magnetic resonance imaging (MRI) in rectal cancer: a comprehensive review.

Authors:  Michael R Torkzad; Lars Påhlman; Bengt Glimelius
Journal:  Insights Imaging       Date:  2010-08-15

Review 10.  Magnetic resonance imaging and endorectal ultrasound for diagnosis of rectal lesions.

Authors:  Franciszek Burdan; Iwona Sudol-Szopinska; Elzbieta Staroslawska; Malgorzata Kolodziejczak; Robert Klepacz; Agnieszka Mocarska; Marek Caban; Iwonna Zelazowska-Cieslinska; Justyna Szumilo
Journal:  Eur J Med Res       Date:  2015-01-14       Impact factor: 2.175

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