Literature DB >> 33531644

Differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach.

Koji Takumi1, Hiroaki Nagano2, Hidehiko Kikuno2, Yuichi Kumagae2, Yoshihiko Fukukura2, Takashi Yoshiura2.   

Abstract

The purpose of this study is to determine whether multiparametric non-contrast MR imaging including diffusion-weighted imaging (DWI), arterial spin labeling (ASL), and amide proton transfer (APT) weighted imaging can help differentiate malignant from benign salivary gland lesions. The study population consisted of 42 patients, with 31 benign and 11 malignant salivary gland lesions. All patients were evaluated using DWI, three-dimensional pseudo-continuous ASL, and APT-weighted imaging on 3 T MR imaging before treatment. Apparent diffusion coefficient (ADC), tumor blood flow (TBF), and APT-related signal intensity (APTSI) values within the lesion were compared between the malignant and benign lesions by Mann-Whitney U test. For each parameter, optimal cutoff values were chosen using a threshold criterion that maximized the Youden index for predicting malignant lesions. The performance of ADC, TBF, APTSI, individually and combined, was evaluated in terms of diagnostic ability for malignant lesions. Diagnostic performance was compared by McNemar test. APTSI was significantly higher in malignant lesions (2.18 ± 0.89%) than in benign lesions (1.57 ± 1.09%, p = 0.047). There was no significant difference in ADC or TBF between benign and malignant lesions (p = 0.155 and 0.498, respectively). The accuracy of ADC, TBF, and APTSI for diagnosing malignant lesions was 47.6%, 50.0%, and 66.7%, respectively; whereas the accuracy of the three parameters combined was 85.7%, which was significantly higher than that of each parameter alone (p = 0.001, 0.001, and 0.008, respectively). Therefore, the combination of ADC, TBF, and APTSI can help differentiate malignant from benign salivary gland lesions.

Entities:  

Year:  2021        PMID: 33531644     DOI: 10.1038/s41598-021-82455-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  32 in total

1.  Measurement of tumor blood flow in head and neck squamous cell carcinoma by pseudo-continuous arterial spin labeling: comparison with dynamic contrast-enhanced MRI.

Authors:  Noriyuki Fujima; Kohsuke Kudo; Akiko Tsukahara; Daisuke Yoshida; Tomohiro Sakashita; Akihiro Homma; Khin Khin Tha; Hiroki Shirato
Journal:  J Magn Reson Imaging       Date:  2015-04       Impact factor: 4.813

2.  Arterial spin labeling to determine tumor viability in head and neck cancer before and after treatment.

Authors:  Noriyuki Fujima; Kohsuke Kudo; Daisuke Yoshida; Akihiro Homma; Tomohiro Sakashita; Akiko Tsukahara
Journal:  J Magn Reson Imaging       Date:  2014-10       Impact factor: 4.813

3.  Texture-based and diffusion-weighted discrimination of parotid gland lesions on MR images at 3.0 Tesla.

Authors:  Julia Fruehwald-Pallamar; Christian Czerny; Laura Holzer-Fruehwald; Stefan F Nemec; Christina Mueller-Mang; Michael Weber; Marius E Mayerhoefer
Journal:  NMR Biomed       Date:  2013-05-23       Impact factor: 4.044

4.  Diffusion-weighted echo-planar MR imaging of primary parotid gland tumors: is a prediction of different histologic subtypes possible?

Authors:  C R Habermann; C Arndt; J Graessner; L Diestel; K U Petersen; F Reitmeier; J O Ussmueller; G Adam; M Jaehne
Journal:  AJNR Am J Neuroradiol       Date:  2009-01-08       Impact factor: 3.825

5.  MR factor analysis: improved technology for the assessment of 2D dynamic structures of benign and malignant salivary gland tumors.

Authors:  Sato Eida; Masafumi Ohki; Misa Sumi; Toshiro Yamada; Takashi Nakamura
Journal:  J Magn Reson Imaging       Date:  2008-06       Impact factor: 4.813

6.  Parotid gland tumors: can addition of diffusion-weighted MR imaging to dynamic contrast-enhanced MR imaging improve diagnostic accuracy in characterization?

Authors:  Hidetake Yabuuchi; Yoshio Matsuo; Takeshi Kamitani; Taro Setoguchi; Takashi Okafuji; Hiroyasu Soeda; Shuji Sakai; Masamitsu Hatakenaka; Torahiko Nakashima; Yoshinao Oda; Hiroshi Honda
Journal:  Radiology       Date:  2008-10-21       Impact factor: 11.105

7.  Salivary gland tumors: diagnostic value of gadolinium-enhanced dynamic MR imaging with histopathologic correlation.

Authors:  Hidetake Yabuuchi; Tatsuro Fukuya; Tsuyoshi Tajima; Yoichi Hachitanda; Kichinobu Tomita; Mitsuru Koga
Journal:  Radiology       Date:  2003-02       Impact factor: 11.105

8.  Quantitative diffusion-weighted magnetic resonance imaging in the evaluation of parotid gland masses: a study with histopathological correlation.

Authors:  Irfan Celebi; Abdullah Soydan Mahmutoglu; Ayhan Ucgul; Sıtkı Mert Ulusay; Tulay Basak; Muzaffer Basak
Journal:  Clin Imaging       Date:  2012-06-08       Impact factor: 1.605

9.  Value of diffusion tensor imaging in differentiating malignant from benign parotid gland tumors.

Authors:  Koji Takumi; Yoshihiko Fukukura; Hiroto Hakamada; Junichi Ideue; Yuichi Kumagae; Takashi Yoshiura
Journal:  Eur J Radiol       Date:  2017-08-18       Impact factor: 3.528

10.  Apparent diffusion coefficient measurements in the differentiation between benign and malignant lesions: a systematic review.

Authors:  M A Vermoolen; T C Kwee; R A J Nievelstein
Journal:  Insights Imaging       Date:  2012-06-07
View more
  6 in total

Review 1.  A Brief History and Future Prospects of CEST MRI in Clinical Non-Brain Tumor Imaging.

Authors:  Tianxin Gao; Chuyue Zou; Yifan Li; Zhenqi Jiang; Xiaoying Tang; Xiaolei Song
Journal:  Int J Mol Sci       Date:  2021-10-26       Impact factor: 5.923

2.  Tumor blood flow and apparent diffusion coefficient histogram analysis for differentiating malignant salivary tumors from pleomorphic adenomas and Warthin's tumors.

Authors:  Fumine Tanaka; Maki Umino; Masayuki Maeda; Ryohei Nakayama; Katsuhiro Inoue; Ryota Kogue; Makoto Obara; Hajime Sakuma
Journal:  Sci Rep       Date:  2022-04-08       Impact factor: 4.996

3.  Differentiation of Benign From Malignant Parotid Gland Tumors Using Conventional MRI Based on Radiomics Nomogram.

Authors:  Jinbo Qi; Ankang Gao; Xiaoyue Ma; Yang Song; Guohua Zhao; Jie Bai; Eryuan Gao; Kai Zhao; Baohong Wen; Yong Zhang; Jingliang Cheng
Journal:  Front Oncol       Date:  2022-07-11       Impact factor: 5.738

4.  Usefulness of MRI-based radiomic features for distinguishing Warthin tumor from pleomorphic adenoma: performance assessment using T2-weighted and post-contrast T1-weighted MR images.

Authors:  Lorenzo Faggioni; Michela Gabelloni; Fabrizio De Vietro; Jessica Frey; Vincenzo Mendola; Diletta Cavallero; Rita Borgheresi; Lorenzo Tumminello; Jorge Shortrede; Riccardo Morganti; Veronica Seccia; Francesca Coppola; Dania Cioni; Emanuele Neri
Journal:  Eur J Radiol Open       Date:  2022-06-18

Review 5.  Pseudocontinuous Arterial Spin Labeling: Clinical Applications and Usefulness in Head and Neck Entities.

Authors:  Fumine Tanaka; Maki Umino; Masayuki Maeda; Ryohei Nakayama; Katsuhiro Inoue; Ryota Kogue; Makoto Obara; Hajime Sakuma
Journal:  Cancers (Basel)       Date:  2022-08-11       Impact factor: 6.575

6.  Quantitative Analysis and Pathological Basis of Signal Intensity on T2-Weighted MR Images in Benign and Malignant Parotid Tumors.

Authors:  Peiying Wei; Chang Shao; Min Tian; Mengwei Wu; Haibin Wang; Zhijiang Han; Hongjie Hu
Journal:  Cancer Manag Res       Date:  2021-07-07       Impact factor: 3.989

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.