Literature DB >> 23188749

Characterization of malignancy of adnexal lesions using ADC entropy: comparison with mean ADC and qualitative DWI assessment.

Andrea S Kierans1, Genevieve L Bennett, Thais C Mussi, James S Babb, Henry Rusinek, Jonathan Melamed, Andrew B Rosenkrantz.   

Abstract

PURPOSE: To establish the utility of apparent diffusion coefficient (ADC) entropy in discrimination of benign and malignant adnexal lesions, using histopathology as the reference standard, via comparison of the diagnostic performance of ADC entropy with mean ADC and with visual assessments of adnexal lesions on conventional and diffusion-weighted sequences.
MATERIALS AND METHODS: In all, 37 adult female patients with an ovarian mass that was resected between June 2006 and January 2011 were included. Volume-of-interest was drawn to incorporate all lesion voxels on every slice that included the mass on the ADC map, from which whole-lesion mean ADC and ADC entropy were calculated. Two independent radiologists also rated each lesion as benign or malignant based on visual assessment of all sequences. The Mann-Whitney test and logistic regression for correlated data were used to compare performance of mean ADC, ADC entropy, and the visual assessments.
RESULTS: No statistically significant difference was observed in mean ADC between benign and malignant adnexal lesions (P = 0.768). ADC entropy was significantly higher in malignant than in benign lesions (P = 0.009). Accuracy was significantly greater for ADC entropy than for mean ADC (0.018). ADC entropy and visual assessment by the less-experienced reader showed similar accuracy (P ≥ 0.204). The more experienced reader's accuracy was significantly greater than that of all other assessments (P ≤ 0.039).
CONCLUSION: ADC entropy showed significantly greater accuracy than the more traditional metric of mean ADC for distinguishing benign and malignant adnexal lesions. Although whole-lesion ADC entropy provides a straightforward and objective measurement, its potential benefit decreases with greater reader experience.
Copyright © 2012 Wiley Periodicals, Inc.

Entities:  

Mesh:

Year:  2012        PMID: 23188749     DOI: 10.1002/jmri.23794

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  20 in total

1.  Radiomics: a new application from established techniques.

Authors:  Vishwa Parekh; Michael A Jacobs
Journal:  Expert Rev Precis Med Drug Dev       Date:  2016-03-31

2.  Evaluation of Kinetic Entropy of Breast Masses Initially Found on MRI using Whole-lesion Curve Distribution Data: Comparison with the Standard Kinetic Analysis.

Authors:  Akiko Shimauchi; Hiroyuki Abe; David V Schacht; Jian Yulei; Federico D Pineda; Sanaz A Jansen; Rajiv Ganesh; Gillian M Newstead
Journal:  Eur Radiol       Date:  2015-02-20       Impact factor: 5.315

Review 3.  Systematic radiological approach to utero-ovarian pathologies.

Authors:  Olivera Nikolic; Marijana Basta Nikolic; Aleksandar Spasic; Mila Milagros Otero-Garcia; Sanja Stojanovic
Journal:  Br J Radiol       Date:  2019-06-06       Impact factor: 3.039

4.  Whole-lesion apparent diffusion coefficient metrics as a marker of percentage Gleason 4 component within Gleason 7 prostate cancer at radical prostatectomy.

Authors:  Andrew B Rosenkrantz; Michael J Triolo; Jonathan Melamed; Henry Rusinek; Samir S Taneja; Fang-Ming Deng
Journal:  J Magn Reson Imaging       Date:  2014-02-25       Impact factor: 4.813

5.  Whole-lesion apparent diffusion coefficient (ADC) metrics as a marker of breast tumour characterization-comparison between ADC value and ADC entropy.

Authors:  Haralambos Bougias; Abraham Ghiatas; Dimitrios Priovolos; Konstantia Veliou; Alexandra Christou
Journal:  Br J Radiol       Date:  2016-10-10       Impact factor: 3.039

6.  Role of diffusion-weighted magnetic resonance imaging in differentiating malignancies from benign ovarian tumors.

Authors:  Xinhua Fan; Hongbin Zhang; Shuang Meng; Jing Zhang; Chuge Zhang
Journal:  Int J Clin Exp Med       Date:  2015-11-15

7.  Diffusion weighted imaging for the differential diagnosis of benign vs. malignant ovarian neoplasms.

Authors:  Xiang-Fu Meng; Shi-Cai Zhu; Shao-Juan Sun; Ji-Cai Guo; Xue Wang
Journal:  Oncol Lett       Date:  2016-04-18       Impact factor: 2.967

8.  Prostate Cancer: Utility of Whole-Lesion Apparent Diffusion Coefficient Metrics for Prediction of Biochemical Recurrence After Radical Prostatectomy.

Authors:  Andrew B Rosenkrantz; Justin M Ream; Paul Nolan; Henry Rusinek; Fang-Ming Deng; Samir S Taneja
Journal:  AJR Am J Roentgenol       Date:  2015-12       Impact factor: 3.959

9.  Diffusion MRI and novel texture analysis in osteosarcoma xenotransplants predicts response to anti-checkpoint therapy.

Authors:  Parastou Foroutan; Jenny M Kreahling; David L Morse; Olya Grove; Mark C Lloyd; Damon Reed; Meera Raghavan; Soner Altiok; Gary V Martinez; Robert J Gillies
Journal:  PLoS One       Date:  2013-12-16       Impact factor: 3.240

Review 10.  Added Value of Assessing Adnexal Masses with Advanced MRI Techniques.

Authors:  I Thomassin-Naggara; D Balvay; A Rockall; M F Carette; M Ballester; E Darai; M Bazot
Journal:  Biomed Res Int       Date:  2015-08-27       Impact factor: 3.411

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.