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Developing and validating a multivariable prediction model to improve the diagnostic accuracy in determination of cervical versus endometrial origin of uterine adenocarcinomas: A prospective MR study combining diffusion-weighted imaging and spectroscopy.

Authors :
Lin G
Lin YC
Wu RC
Yang LY
Lu HY
Tsai SY
Huang YT
Huang YL
Lu KY
Ng KK
Yen TC
Chao A
Lai CH
Hong JH
Source :
Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2018 Jun; Vol. 47 (6), pp. 1654-1666. Date of Electronic Publication: 2017 Nov 27.
Publication Year :
2018

Abstract

Background: A triage test to assist clinical decision-making on choosing primary chemoradiation for cervical carcinomas or primary surgery for endometrial carcinomas is important.<br />Purpose or Hypothesis: To develop and validate a multiparametric prediction model based on MR imaging and spectroscopy in distinguishing adenocarcinomas of uterine cervical or endometrial origin.<br />Study Type: Prospective diagnostic accuracy study.<br />Population: Eighty-seven women: 25 cervical and 62 endometrial adenocarcinomas divided into training (n = 43; cervical/endometrial adenocarcinomas = 11/32) and validation (n = 44; 14/30) datasets.<br />Field Strength/sequence: The 3T diffusion-weighted (DW) MR imaging and MR spectroscopy.<br />Assessment: Morphology, volumetric DW MR imaging and spectroscopy (MDS) scoring system with total points 0-5, based on presence of the following MR features assessed independently by two radiologists: (a) epicenter at the cervix, (b) rim enhancement, (c) disrupted cervical stromal integrity, (d) mean volumetric apparent diffusion coefficient values (ADCmean) higher than 0.98 × 10-3 mm <superscript>2</superscript> /s, (e) fatty acyl δ 1.3 ppm more than 161.92 mM. Histopathology as gold standard.<br />Statistical Tests: Logistic regression and receiver operator characteristic (ROC) curves analysis.<br />Results: For both the training and validation datasets, the MDS score achieved an accuracy of 93.0% and 84.1%, significantly higher than that of morphology (88.4% and 79.5%), ADC value (74.4% and 68.2%), and spectroscopy (81.4% and 68.2%; P < 0.05 for all). The performances of the scoring were superior to the morphology in the training dataset (areas under the receiver operating characteristics curve [AUC] = 0.95 vs. 0.89; P = 0.046), but not in the validation dataset (AUC = 0.90 vs. 0.85; P = 0.289).<br />Data Conclusion: MDS score has potentials to improve distinguishing adenocarcinomas of cervical or endometrial origin, and warrants large-scale studies for further validation.<br />Level of Evidence: 1 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2018;47:1654-1666.<br /> (© 2017 International Society for Magnetic Resonance in Medicine.)

Details

Language :
English
ISSN :
1522-2586
Volume :
47
Issue :
6
Database :
MEDLINE
Journal :
Journal of magnetic resonance imaging : JMRI
Publication Type :
Academic Journal
Accession number :
29178414
Full Text :
https://doi.org/10.1002/jmri.25899