Literature DB >> 28882974

Lymph Node Size on Computed Tomography Images Is a Predictive Indicator for Lymph Node Metastasis in Patients with Colorectal Neuroendocrine Tumors.

Toshiaki Tanaka1, Hiroaki Nozawa2, Kazushige Kawai2, Keisuke Hata2, Tomomichi Kiyomatsu3, Takeshi Nishikawa2, Kensuke Otani2, Kazuhito Sasaki2, Koji Murono2, Toshiaki Watanabe2.   

Abstract

BACKGROUND: Colorectal neuroendocrine tumors (NET) are a rare manifestation of colorectal neoplasia, requiring for radical dissection of the regional lymph nodes along with colorectal resection similar to that required for colorectal cancer. However, thus far, no reports have described the ability of computed tomography (CT) to predict lymph node involvement. In this study, we revealed the prediction rate of lymph node metastasis using contrast-enhanced CT. PATIENTS AND METHODS: A total of 21 patients with colorectal NET undergoing colorectal resection were recruited from January 2010 to June 2016. We compared the CT findings between samples with or without pathologically proven lymph node metastasis, in each field (pericolic/perirectal and intermediate nodes).
RESULTS: Within the pericolic/perirectal field, any lymph node larger than 5 mm in the CT images was a predictive indicator of lymph node metastasis with a sensitivity, specificity, and area under ROC curve (AUC) of 66.7%, 87.5%, and 0.844, respectively. Within the intermediate field, any visible lymph node on the CT was a predictive indicator of lymph node metastasis with a sensitivity, specificity, and AUC of 100%, 76.4%, and 0.890, respectively. In addition, when we observed lymph nodes larger than 3 mm on the CT images, the sensitivity and specificity were 100% and 82.4%, respectively, with an AUC of 0.8971.
CONCLUSION: CT images provide predictive information for lymph node metastasis with a high rate of accuracy. Copyright
© 2017, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  Neuroendocrine carcinoma; colorectal; lymph node metastasis

Mesh:

Year:  2017        PMID: 28882974      PMCID: PMC5656844          DOI: 10.21873/invivo.11162

Source DB:  PubMed          Journal:  In Vivo        ISSN: 0258-851X            Impact factor:   2.155


  26 in total

1.  Survival of patients with neuroendocrine carcinoma of the colon and rectum: a population-based analysis.

Authors:  Hammad Shafqat; Shihab Ali; Mohammed Salhab; Adam J Olszewski
Journal:  Dis Colon Rectum       Date:  2015-03       Impact factor: 4.585

2.  Preoperative evaluation of local invasion and metastatic lymph nodes of colorectal cancer and mesenteric vascular variations using multidetector-row computed tomography before laparoscopic surgery.

Authors:  Takaaki Kanamoto; Mitsuru Matsuki; Junji Okuda; Yuki Inada; Fuminari Tatsugami; Masato Tanikake; Shushi Yoshikawa; Isamu Narabayashi; Hiroshi Kawasaki; Keitaro Tanaka; Tetsuhisa Yamamoto; Nobuhiko Tanigawa; Yutaro Egashira; Yuro Shibayama
Journal:  J Comput Assist Tomogr       Date:  2007 Nov-Dec       Impact factor: 1.826

3.  Neuroendocrine tumors, version 1.2015.

Authors:  Matthew H Kulke; Manisha H Shah; Al B Benson; Emily Bergsland; Jordan D Berlin; Lawrence S Blaszkowsky; Lyska Emerson; Paul F Engstrom; Paul Fanta; Thomas Giordano; Whitney S Goldner; Thorvardur R Halfdanarson; Martin J Heslin; Fouad Kandeel; Pamela L Kunz; Boris W Kuvshinoff; Christopher Lieu; Jeffrey F Moley; Gitonga Munene; Venu G Pillarisetty; Leonard Saltz; Julie Ann Sosa; Jonathan R Strosberg; Jean-Nicolas Vauthey; Christopher Wolfgang; James C Yao; Jennifer Burns; Deborah Freedman-Cass
Journal:  J Natl Compr Canc Netw       Date:  2015-01       Impact factor: 11.908

4.  Lymph node size is not a reliable criterion for predicting nodal metastasis in rectal neuroendocrine tumours.

Authors:  B C Kim; Y E Kim; H J Chang; S H Lee; E G Youk; D-S Lee; J B Lee; E-J Lee; M J Kim; D K Sohn; J H Oh
Journal:  Colorectal Dis       Date:  2016-07       Impact factor: 3.788

Review 5.  Diagnostic precision of CT in local staging of colon cancers: a meta-analysis.

Authors:  S Dighe; S Purkayastha; I Swift; P P Tekkis; A Darzi; R A'Hern; G Brown
Journal:  Clin Radiol       Date:  2010-09       Impact factor: 2.350

6.  The novel WHO 2010 classification for gastrointestinal neuroendocrine tumours correlates well with the metastatic potential of rectal neuroendocrine tumours.

Authors:  Juha Jernman; Matti J Välimäki; Johanna Louhimo; Caj Haglund; Johanna Arola
Journal:  Neuroendocrinology       Date:  2012-02-07       Impact factor: 4.914

7.  Carcinoid and neuroendocrine tumors of the colon and rectum.

Authors:  T Philip Chung; Steven R Hunt
Journal:  Clin Colon Rectal Surg       Date:  2006-05

8.  Lymph-node metastases in rectal carcinoids.

Authors:  Yoshiya Fujimoto; Masatoshi Oya; Hiroya Kuroyanagi; Masashi Ueno; Takashi Akiyoshi; Toshiharu Yamaguchi; Tetsuichiro Muto
Journal:  Langenbecks Arch Surg       Date:  2008-12-02       Impact factor: 3.445

9.  Preoperative computed tomography staging of nonmetastatic colon cancer predicts outcome: implications for clinical trials.

Authors:  N J Smith; N Bees; Y Barbachano; A R Norman; R I Swift; G Brown
Journal:  Br J Cancer       Date:  2007-03-13       Impact factor: 7.640

10.  Clinicopathological analysis of colorectal carcinoid tumors and patient outcomes.

Authors:  Hung-Hsin Lin; Jen-Kou Lin; Jeng-Kai Jiang; Chun-Chi Lin; Yuan-Tzu Lan; Shung-Haur Yang; Huann-Sheng Wang; Wei-Shone Chen; Tzu-Chen Lin; Wen-Yih Liang; Shih-Ching Chang
Journal:  World J Surg Oncol       Date:  2014-11-30       Impact factor: 2.754

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  3 in total

1.  Lymph Node Diameter as a Predictor of Lymph Node Metastasis in Patients with Colorectal Neuroendocrine Neoplasms.

Authors:  Kaoru Fujikawa; Shingo Noura; Yozo Suzuki; Hiroshi Takeyama
Journal:  J Anus Rectum Colon       Date:  2022-04-27

2.  Pathological nodal staging score for rectal cancer patients treated with radical surgery with or without neoadjuvant therapy: a postoperative decision tool.

Authors:  Weixing Dai; Yaqi Li; Zhenyu Wu; Yang Feng; Sanjun Cai; Ye Xu; Qingguo Li; Guoxiang Cai
Journal:  Cancer Manag Res       Date:  2019-01-07       Impact factor: 3.989

3.  Preoperative assessment of lymph node metastasis in Colon Cancer patients using machine learning: a pilot study.

Authors:  Aydin Eresen; Yu Li; Jia Yang; Junjie Shangguan; Yury Velichko; Vahid Yaghmai; Al B Benson; Zhuoli Zhang
Journal:  Cancer Imaging       Date:  2020-04-25       Impact factor: 3.909

  3 in total

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