Literature DB >> 19690492

Quantitative measurement of blood flow using perfusion CT for assessing clinicopathologic features and prognosis in patients with rectal cancer.

Koichi Hayano1, Kiyohiko Shuto, Keiji Koda, Noriyuki Yanagawa, Shinichi Okazumi, Hisahiro Matsubara.   

Abstract

PURPOSE: The ability to evaluate clinicopathologic features and prognosis before surgery by contrast-enhanced CT would be valuable for managing rectal cancer. This study was designed to evaluate the clinical usefulness of perfusion CT in patients with rectal cancer before surgery.
METHODS: Forty-four consecutive patients (27 men, 17 women; median age, 63.6 years) with rectal cancer underwent perfusion CT before surgery. We retrospectively investigated the correlations between tumor blood flow generated by perfusion CT and clinicopathologic features.
RESULTS: There was a significant correlation between blood flow and wall invasion (P = 0.04). Well-differentiated tumors showed significantly higher blood flow than moderately differentiated tumors (P = 0.03). There was a significant tendency for tumors with low blood flow to show lymph node metastasis (P = 0.0005), vascular invasion (P = 0.004), lymphatic invasion (P = 0.04), and distant metastasis (P = 0.0005). For blood flow, accuracy was 75% for detection of tumors with lymph node metastasis if the cutoff point was set at 55 ml/100 g per minute. Patients with high blood flow tumors survived significantly longer than those with low blood flow tumors (P = 0.002).
CONCLUSIONS: Blood flow of rectal cancers may be useful to evaluate pathologic features and prognosis before surgery.

Entities:  

Mesh:

Year:  2009        PMID: 19690492     DOI: 10.1007/DCR.0b013e3181afbd79

Source DB:  PubMed          Journal:  Dis Colon Rectum        ISSN: 0012-3706            Impact factor:   4.585


  14 in total

1.  Commercial software upgrades may significantly alter Perfusion CT parameter values in colorectal cancer.

Authors:  Vicky Goh; Manu Shastry; Alec Engledow; Jonathan Reston; David M Wellsted; Jacqui Peck; Raymondo Endozo; Manuel Rodriguez-Justo; Stuart A Taylor; Steve Halligan; Ashley M Groves
Journal:  Eur Radiol       Date:  2010-10-05       Impact factor: 5.315

2.  The value of perfusion CT in predicting the short-term response to synchronous radiochemotherapy for cervical squamous cancer.

Authors:  Xiang Sheng Li; Hong Xia Fan; Hong Xian Zhu; Yun Long Song; Chun Wu Zhou
Journal:  Eur Radiol       Date:  2011-09-30       Impact factor: 5.315

Review 3.  Computed tomography perfusion imaging as a potential imaging biomarker of colorectal cancer.

Authors:  Koichi Hayano; Takeshi Fujishiro; Dushyant V Sahani; Asami Satoh; Tomoyoshi Aoyagi; Gaku Ohira; Toru Tochigi; Hisahiro Matsubara; Kiyohiko Shuto
Journal:  World J Gastroenterol       Date:  2014-12-14       Impact factor: 5.742

Review 4.  CT perfusion in oncology: how to do it.

Authors:  G Petralia; L Bonello; S Viotti; L Preda; G d'Andrea; M Bellomi
Journal:  Cancer Imaging       Date:  2010-02-11       Impact factor: 3.909

Review 5.  Perfusion CT imaging of colorectal cancer.

Authors:  V Goh; R Glynne-Jones
Journal:  Br J Radiol       Date:  2014-02       Impact factor: 3.039

Review 6.  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

7.  Preoperative hepatic CT perfusion as an early predictor for the recurrence of esophageal squamous cell carcinoma: initial clinical results.

Authors:  Takeshi Fujishiro; Kiyohiko Shuto; Koichi Hayano; Asami Satoh; Tsuguaki Kono; Gaku Ohira; Takayuki Tohma; Hisashi Gunji; Kazuo Narushima; Toru Tochigi; Toshiharu Hanaoka; Sayaka Ishii; Noriyuki Yanagawa; Hisahiro Matsubara
Journal:  Oncol Rep       Date:  2014-01-22       Impact factor: 3.906

8.  Adaptive statistical iterative reconstruction improves image quality without affecting perfusion CT quantitation in primary colorectal cancer.

Authors:  D Prezzi; V Goh; S Virdi; S Mallett; C Grierson; D J Breen
Journal:  Eur J Radiol Open       Date:  2017-06-01

Review 9.  Biomarkers of Angiogenesis in Colorectal Cancer.

Authors:  Luay Mousa; Mohamed E Salem; Sameh Mikhail
Journal:  Biomark Cancer       Date:  2015-10-27

Review 10.  Novel biomarkers for patient stratification in colorectal cancer: A review of definitions, emerging concepts, and data.

Authors:  Manish Chand; Deborah S Keller; Reza Mirnezami; Marc Bullock; Aneel Bhangu; Brendan Moran; Paris P Tekkis; Gina Brown; Alexander Mirnezami; Mariana Berho
Journal:  World J Gastrointest Oncol       Date:  2018-07-15
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