Literature DB >> 9202586

Small pelvic lymph node metastases: evaluation with MR imaging.

C Roy1, Y Le Bras, L Mangold, C Saussine, C Tuchmann, D Pfleger, D Jacqmin.   

Abstract

The purpose of this study was to determine if lymph node asymmetry in small (< 1.0 cm) pelvic lymph nodes was a significant prognostic feature in determining metastatic disease. Two hundred and sixteen patients who presented with pelvic carcinoma underwent magnetic resonance imaging (MRI). They were correlated with pathological findings obtained at surgery. We considered the maximum diameter (MAD) of both round- or oval-shaped suspicious masses seen in the axial plane. Two different cut-off values were determined: lymph node diameter greater than 1.0 cm (criterion 1) and lymph node diameter greater than 0.5 cm with asymmetry relative to the opposite side for lymph nodes ranging from 0.5 cm to 1.0 cm (criterion 2). With criterion 1, MRI had an accuracy of 88%, a sensitivity of 65%, a specificity of 96%, a positive predictive value (PPV) of 88% and a negative predictive value (NPV) of 88% in the detection of pelvic lymph node metastasis. By considering criterion 2, MRI had an accuracy of 85%, a sensitivity of 75%, a specificity of 91%, a PPV of 71% and a NPV of 91%. Normal small asymmetric lymph nodes were present in 5.6% of cases. Normal asymmetry of pelvic lymph nodes is not uncommon. It cannot be relied on to diagnose metastatic involvement in cases of small suspicious lymph nodes.

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Year:  1997        PMID: 9202586     DOI: 10.1016/s0009-9260(97)80004-9

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  6 in total

1.  Node-by-node correlation between MR and PET/CT in patients with uterine cervical cancer: diffusion-weighted imaging versus size-based criteria on T2WI.

Authors:  Eugene K Choi; Jeong Kon Kim; Hyuck Jae Choi; Seong Ho Park; Bum-Woo Park; Namkug Kim; Jae Seung Kim; Ki Chun Im; Gyunggoo Cho; Kyoung-Sik Cho
Journal:  Eur Radiol       Date:  2009-03-11       Impact factor: 5.315

2.  Added Value of Multiparametric Magnetic Resonance Imaging to Clinical Nomograms for Predicting Adverse Pathology in Prostate Cancer.

Authors:  Kareem N Rayn; Jonathan B Bloom; Samuel A Gold; Graham R Hale; Joseph A Baiocco; Sherif Mehralivand; Marcin Czarniecki; Vikram K Sabarwal; Vladimir Valera; Bradford J Wood; Maria J Merino; Peter Choyke; Baris Turkbey; Peter A Pinto
Journal:  J Urol       Date:  2018-05-29       Impact factor: 7.450

3.  USPIO-enhanced MRI for preoperative staging of gynecological pelvic tumors: preliminary results.

Authors:  Thomas M Keller; Sven C A Michel; Johannes Fröhlich; Daniel Fink; Rosmarie Caduff; Borut Marincek; Rahel A Kubik-Huch
Journal:  Eur Radiol       Date:  2004-02-26       Impact factor: 5.315

4.  Differentiation of epithelial ovarian cancer subtypes by use of imaging and clinical data: a detailed analysis.

Authors:  Yumiko Oishi Tanaka; Satoshi Okada; Toyomi Satoh; Koji Matsumoto; Akinori Oki; Tsukasa Saida; Hiroyuki Yoshikawa; Manabu Minami
Journal:  Cancer Imaging       Date:  2016-02-12       Impact factor: 3.909

5.  Uterine cervical malignancy: diagnostic accuracy of MRI with histopathologic correlation.

Authors:  Mohammed A Shweel; Enas A Abdel-Gawad; Ehab Ali Abdel-Gawad; Hosny S Abdelghany; Alshimaa M Abdel-Rahman; Emad M Ibrahim
Journal:  J Clin Imaging Sci       Date:  2012-07-28

Review 6.  Magnetic resonance imaging of the cervix.

Authors:  Khashayar Rafat Zand; Caroline Reinhold; Hisashi Abe; Sharad Maheshwari; Ahmed Mohamed; Daniel Upegui
Journal:  Cancer Imaging       Date:  2007-05-28       Impact factor: 3.909

  6 in total

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