Literature DB >> 19277675

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

Eugene K Choi1, 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.   

Abstract

The purpose of the study was to perform a node-by-node comparison of an ADC-based diagnosis and various size-based criteria on T2-weighted imaging (T2WI) with regard to their correlation with PET/CT findings in patients with uterine cervical cancer. In 163 patients with 339 pelvic lymph nodes (LNs) with short-axis diameter >5 mm, the minimum apparent diffusion coefficient (ADC), mean ADC, short- and long-axis diameters, and ratio of long- to short-axis diameters (L/S ratio) were compared in PET/CT-positive and -negative LNs. On PET/CT, 118 (35%) LNs in 58 patients were positive. The mean value of minimum and mean ADCs, short- and long-axis diameters, and L/S ratio were different in PET/CT-positive (0.6436 x 10(-3) mm(2)/s, 0.756 x 10(-3) mm(2)/s, 10.3 mm, 13.2 mm, 1.32, respectively) and PET/CT-negative LNs (0.8893 x 10(-3) mm(2)/s, 1.019 x 10(-3) mm(2)/s, 7.4 mm, 11.0 mm, 1.49, respectively) (P < 0.05). The Az value of the minimum ADC (0.864) was greater than those of mean ADC (0.836), short-axis diameter (0.764), long-axis diameter (0.640) and L/S ratio (0.652) (P < 0.05). The sensitivity and accuracy of the minimum ADC (86%, 82%) were greater than those of the short-axis diameter (55%, 74%), long-axis diameter (73%, 58%) and L/S ratio (52%, 66%) (P < 0.05). ADC showed superior correlation with PET/CT compared with conventional size-based criteria on T2WI.

Entities:  

Mesh:

Year:  2009        PMID: 19277675     DOI: 10.1007/s00330-009-1350-5

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  34 in total

1.  High-b-value diffusion-weighted MR imaging of adult brain: image contrast and apparent diffusion coefficient map features.

Authors:  M C DeLano; T G Cooper; J E Siebert; M J Potchen; K Kuppusamy
Journal:  AJNR Am J Neuroradiol       Date:  2000 Nov-Dec       Impact factor: 3.825

2.  The prognostic significance of number of positive nodes in cervical carcinoma stages IB, IIA, and IIB.

Authors:  T Inoue; K Morita
Journal:  Cancer       Date:  1990-05-01       Impact factor: 6.860

3.  Small pelvic lymph node metastases: evaluation with MR imaging.

Authors:  C Roy; Y Le Bras; L Mangold; C Saussine; C Tuchmann; D Pfleger; D Jacqmin
Journal:  Clin Radiol       Date:  1997-06       Impact factor: 2.350

4.  Invasive cervical carcinoma: comparison of MR imaging and surgical findings.

Authors:  H Hricak; C G Lacey; L G Sandles; Y C Chang; M L Winkler; J L Stern
Journal:  Radiology       Date:  1988-03       Impact factor: 11.105

5.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1983-09       Impact factor: 11.105

6.  Comparison of dynamic helical CT and dynamic MR imaging in the evaluation of pelvic lymph nodes in cervical carcinoma.

Authors:  W T Yang; W W Lam; M Y Yu; T H Cheung; C Metreweli
Journal:  AJR Am J Roentgenol       Date:  2000-09       Impact factor: 3.959

7.  Discrimination of metastatic cervical lymph nodes with diffusion-weighted MR imaging in patients with head and neck cancer.

Authors:  Misa Sumi; Noriyuki Sakihama; Tadateru Sumi; Minoru Morikawa; Masataka Uetani; Hiroyuki Kabasawa; Koichiro Shigeno; Kuniaki Hayashi; Haruo Takahashi; Takashi Nakamura
Journal:  AJNR Am J Neuroradiol       Date:  2003-09       Impact factor: 3.825

8.  Head and neck cancer: clinical usefulness and accuracy of PET/CT image fusion.

Authors:  Heiko Schöder; Henry W D Yeung; Mithat Gonen; Dennis Kraus; Steven M Larson
Journal:  Radiology       Date:  2004-02-27       Impact factor: 11.105

Review 9.  Computed tomography and magnetic resonance imaging in staging of uterine cervical carcinoma: a systematic review.

Authors:  Shandra Bipat; Afina S Glas; Jacobus van der Velden; Aeilko H Zwinderman; Patrick M M Bossuyt; Jaap Stoker
Journal:  Gynecol Oncol       Date:  2003-10       Impact factor: 5.482

10.  Statistics review 13: receiver operating characteristic curves.

Authors:  Viv Bewick; Liz Cheek; Jonathan Ball
Journal:  Crit Care       Date:  2004-11-04       Impact factor: 9.097

View more
  19 in total

1.  Lymph node assessment by diffusion weighted imaging in cervical cancer.

Authors:  Luis Martí-Bonmatí
Journal:  Eur Radiol       Date:  2011-01-06       Impact factor: 5.315

2.  Differential diagnosis of axillary inflammatory and metastatic lymph nodes in rabbit models by using diffusion-weighted imaging: compared with conventional magnetic resonance imaging.

Authors:  Junping Wang; Qian Liao; Yunting Zhang; Chunshui Yu; Renju Bai; Haoran Sun
Journal:  Korean J Radiol       Date:  2012-06-18       Impact factor: 3.500

3.  What is the pelvic lymph node normal size? Determination from normal MRI examinations.

Authors:  Marjorie Ramirez; Pierre Ingrand; Jean-Pierre Richer; Guillaume Herpe; Guillaume Vesselle; Samy Boucebci; Jean-Pierre Tasu
Journal:  Surg Radiol Anat       Date:  2015-10-29       Impact factor: 1.246

4.  Computed diffusion-weighted imaging using 3-T magnetic resonance imaging for prostate cancer diagnosis.

Authors:  Yoshiko Ueno; Satoru Takahashi; Kazuhiro Kitajima; Tokunori Kimura; Ikuo Aoki; Fumi Kawakami; Hideaki Miyake; Yoshiharu Ohno; Kazuro Sugimura
Journal:  Eur Radiol       Date:  2013-07-25       Impact factor: 5.315

5.  Value of diffusion-weighted imaging to detect small malignant pelvic lymph nodes at 3 T.

Authors:  Catherine Roy; Guillaume Bierry; Andrea Matau; Gauthier Bazille; Rémy Pasquali
Journal:  Eur Radiol       Date:  2010-02-24       Impact factor: 5.315

Review 6.  Diagnostic performance of diffusion-weighted MRI for detection of pelvic metastatic lymph nodes in patients with cervical cancer: a systematic review and meta-analysis.

Authors:  G Shen; H Zhou; Z Jia; H Deng
Journal:  Br J Radiol       Date:  2015-05-29       Impact factor: 3.039

7.  Computed diffusion-weighted MRI for prostate cancer detection: the influence of the combinations of b-values.

Authors:  Y Ueno; S Takahashi; Y Ohno; K Kitajima; M Yui; Y Kassai; F Kawakami; H Miyake; K Sugimura
Journal:  Br J Radiol       Date:  2015-01-21       Impact factor: 3.039

8.  Value of diffusion-weighted imaging in predicting parametrial invasion in stage IA2-IIA cervical cancer.

Authors:  Jung Jae Park; Chan Kyo Kim; Sung Yoon Park; Byung Kwan Park; Bohyun Kim
Journal:  Eur Radiol       Date:  2014-02-13       Impact factor: 5.315

Review 9.  Diffusion-weighted MRI in abdominal oncology: clinical applications.

Authors:  Reiji Sugita; Kei Ito; Naotaka Fujita; Shoki Takahashi
Journal:  World J Gastroenterol       Date:  2010-02-21       Impact factor: 5.742

10.  The preoperative SUVmax is superior to ADCmin of the primary tumour as a predictor of disease recurrence and survival in patients with endometrial cancer.

Authors:  Keiichiro Nakamura; Ikuo Joja; Chikako Fukushima; Tomoko Haruma; Chiaki Hayashi; Tomoyuki Kusumoto; Noriko Seki; Atsushi Hongo; Yuji Hiramatsu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-09-12       Impact factor: 9.236

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.