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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.
- Source :
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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
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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.)
- Subjects :
- Adult
Aged
Aged, 80 and over
Female
Humans
Middle Aged
Multivariate Analysis
Prognosis
Prospective Studies
ROC Curve
Reproducibility of Results
Uterus diagnostic imaging
Adenocarcinoma diagnostic imaging
Diffusion Magnetic Resonance Imaging
Endometrial Neoplasms diagnostic imaging
Magnetic Resonance Spectroscopy
Uterine Cervical Neoplasms diagnostic imaging
Uterine Neoplasms diagnostic imaging
Subjects
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