Literature DB >> 25124470

Diagnostic performance of multidetector row computed tomography for assessment of lymph node metastasis in patients with distal rectal cancer.

Hirotoshi Kobayashi1, Akifumi Kikuchi, Satoshi Okazaki, Megumi Ishiguro, Toshiaki Ishikawa, Satoru Iida, Hiroyuki Uetake, Kenichi Sugihara.   

Abstract

BACKGROUND: The accurate preoperative diagnosis of depth of tumor invasion and nodal status in distal rectal cancer is important because neoadjuvant chemotherapy or lateral pelvic lymph node dissection is indicated for patients with T3-T4 tumor or nodal involvement. This study aimed to determine the optimal cutoff value for predicting lymph node metastasis in patients with distal rectal cancer using multidetector row computed tomography (MDCT).
METHODS: The study investigated 77 patients who had undergone surgery for distal rectal cancer at a single institution between 2008 and 2011. Diagnostic performance for depth of tumor invasion and mesorectal and lateral pelvic lymph node metastases was evaluated. The optimal cutoff value was determined by receiver operating characteristic curve analysis.
RESULTS: For predicting mesorectal and lateral pelvic lymph node metastasis, MDCT had a sensitivity of 0.36 and 0.89 and a specificity of 0.78 and 0.97, respectively. The optimal cutoff values of major and minor axes lengths for predicting mesorectal lymph node metastasis were 6.5 mm and 5.7 mm, respectively. The areas under the curve (AUCs) were 0.82 and 0.88, respectively. For predicting lateral lymph node metastasis, the optimal cutoff values were 9 mm for the major axis and 6 mm for the minor axis. Both AUCs were 1.
CONCLUSIONS: Using MDCT, the optimal cutoff value of minor axis length for predicting mesorectal and lateral pelvic lymph node metastases in patients with distal rectal cancer was 6 mm. The accuracy of MDCT was satisfactory for predicting lateral pelvic lymph node metastasis.

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Year:  2014        PMID: 25124470     DOI: 10.1245/s10434-014-3972-3

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  8 in total

1.  Laparoscopic lateral pelvic lymph node dissection is achievable and offers advantages as a minimally invasive surgery over the open approach.

Authors:  Kinuko Nagayoshi; Takashi Ueki; Tatsuya Manabe; Taiki Moriyama; Kosuke Yanai; Yoshinao Oda; Masao Tanaka
Journal:  Surg Endosc       Date:  2015-08-15       Impact factor: 4.584

2.  Diagnostic value of FDG-PET/CT for lateral pelvic lymph node metastasis in rectal cancer treated with preoperative chemoradiotherapy.

Authors:  S Ishihara; K Kawai; T Tanaka; T Kiyomatsu; K Hata; H Nozawa; T Morikawa; T Watanabe
Journal:  Tech Coloproctol       Date:  2018-04-06       Impact factor: 3.781

3.  A Comprehensive Assessment of Accurate Lymph Node Staging and Preoperative Detection in Resected Pancreatic Cancer.

Authors:  Toshiro Masuda; Amanda M Dann; Irmina A Elliott; Hideo Baba; Stephen Kim; Alireza Sedarat; V Raman Muthusamy; Mark D Girgis; O Joe Hines; Howard A Reber; Timothy R Donahue
Journal:  J Gastrointest Surg       Date:  2017-10-17       Impact factor: 3.452

Review 4.  Review of Radiomics- and Dosiomics-based Predicting Models for Rectal Cancer.

Authors:  Yun Qin; Li-Hua Zhu; Wei Zhao; Jun-Jie Wang; Hao Wang
Journal:  Front Oncol       Date:  2022-08-09       Impact factor: 5.738

5.  Utility of the sentinel node concept for detection of lateral pelvic lymph node metastasis in lower rectal cancer.

Authors:  Shigehiro Yanagita; Yoshikazu Uenosono; Takaaki Arigami; Yoshiaki Kita; Shinichiro Mori; Shoji Natsugoe
Journal:  BMC Cancer       Date:  2017-06-19       Impact factor: 4.430

6.  Preoperative T staging using CT colonography with multiplanar reconstruction for very low rectal cancer.

Authors:  Dai Shida; Gen Iinuma; Akira Komono; Hiroki Ochiai; Shunsuke Tsukamoto; Mototaka Miyake; Yukihide Kanemitsu
Journal:  BMC Cancer       Date:  2017-11-14       Impact factor: 4.430

7.  Predictive Value of Preoperative Multidetector-Row Computed Tomography for Axillary Lymph Nodes Metastasis in Patients With Breast Cancer.

Authors:  Chun-Fa Chen; Yu-Ling Zhang; Ze-Long Cai; Shu-Ming Sun; Xiao-Feng Lu; Hao-Yu Lin; Wei-Quan Liang; Ming-Heng Yuan
Journal:  Front Oncol       Date:  2019-01-08       Impact factor: 6.244

8.  Difficulty of predicting lymph node metastasis on CT in patients with rectal neuroendocrine tumors.

Authors:  Hajime Ushigome; Yosuke Fukunaga; Toshiya Nagasaki; Takashi Akiyoshi; Tsuyoshi Konishi; Yoshiya Fujimoto; Satoshi Nagayama; Masashi Ueno
Journal:  PLoS One       Date:  2019-02-11       Impact factor: 3.240

  8 in total

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