Slotman, Derk J., Bartels, Lambertus W., Zijlstra, Aylene, Verpalen, Inez M., van Osch, Jochen A. C., Nijholt, Ingrid M., Heijman, Edwin, van 't Veer-ten Kate, Miranda, de Boer, Erwin, van den Hoed, Rolf D., Froeling, Martijn ORCID: 0000-0003-3841-0497 and Boomsma, Martijn F. . Diffusion-weighted MRI with deep learning for visualizing treatment results of MR-guided HIFU ablation of uterine fibroids. Eur. Radiol.. NEW YORK: SPRINGER. ISSN 1432-1084

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Abstract

ObjectivesNo method is available to determine the non-perfused volume (NPV) repeatedly during magnetic resonance-guided high-intensity focused ultrasound (MR-HIFU) ablations of uterine fibroids, as repeated acquisition of contrast-enhanced T1-weighted (CE-T1w) scans is inhibited by safety concerns. The objective of this study was to develop and test a deep learning-based method for translation of diffusion-weighted imaging (DWI) into synthetic CE-T1w scans, for monitoring MR-HIFU treatment progression. MethodsThe algorithm was retrospectively trained and validated on data from 33 and 20 patients respectively who underwent an MR-HIFU treatment of uterine fibroids between June 2017 and January 2019. Postablation synthetic CE-T1w images were generated by a deep learning network trained on paired DWI and reference CE-T1w scans acquired during the treatment procedure. Quantitative analysis included calculation of the Dice coefficient of NPVs delineated on synthetic and reference CE-T1w scans. Four MR-HIFU radiologists assessed the outcome of MR-HIFU treatments and NPV ratio based on the synthetic and reference CE-T1w scans. ResultsDice coefficient of NPVs was 71% (& PLUSMN; 22%). The mean difference in NPV ratio was 1.4% (& PLUSMN; 22%) and not statistically significant (p = 0.79). Absolute agreement of the radiologists on technical treatment success on synthetic and reference CE-T1w scans was 83%. NPV ratio estimations on synthetic and reference CE-T1w scans were not significantly different (p = 0.27). ConclusionsDeep learning-based synthetic CE-T1w scans derived from intraprocedural DWI allow gadolinium-free visualization of the predicted NPV, and can potentially be used for repeated gadolinium-free monitoring of treatment progression during MR-HIFU therapy for uterine fibroids.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Slotman, Derk J.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bartels, Lambertus W.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zijlstra, AyleneUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Verpalen, Inez M.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
van Osch, Jochen A. C.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Nijholt, Ingrid M.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Heijman, EdwinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
van 't Veer-ten Kate, MirandaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
de Boer, ErwinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
van den Hoed, Rolf D.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Froeling, MartijnUNSPECIFIEDorcid.org/0000-0003-3841-0497UNSPECIFIED
Boomsma, Martijn F.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-682930
DOI: 10.1007/s00330-022-09294-1
Journal or Publication Title: Eur. Radiol.
Publisher: SPRINGER
Place of Publication: NEW YORK
ISSN: 1432-1084
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
INTENSITY FOCUSED ULTRASOUND; LEIOMYOMATA; SURGERY; LINKMultiple languages
Radiology, Nuclear Medicine & Medical ImagingMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/68293

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