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Retrospective analysis of multiparametric MRI in predicting complete pathologic response of neo-adjuvant chemotherapy in bladder cancer.

Authors :
De Maeseneer D
De Visschere P
Van den Broecke M
Delbare F
Villeirs G
Verbeke S
Fonteyne V
Van Praet C
Decaestecker K
Decruyenaere A
Rottey S
Source :
BMC medical imaging [BMC Med Imaging] 2024 Oct 07; Vol. 24 (1), pp. 268. Date of Electronic Publication: 2024 Oct 07.
Publication Year :
2024

Abstract

Background: Muscle invasive bladder cancer (MIBC) treatment combines systemic therapy and radical cystectomy (RC) or local (chemo-)radiotherapy. Response to systemic therapy is an important outcome predictor but is difficult to assess pre-operatively.<br />Methods: We analyzed multiparametric MRI (mpMRI) in consecutive MIBC patients receiving cisplatin-based neo-adjuvant chemotherapy at our institution. Two readers, blinded for pathological outcome, independently scored mpMRI before and after 2 and 4 cycles using both a qualitative 3-step method and nacVI-RADS. We analyzed accuracy of mpMRI scores to predict pathologic complete response (pCR) and inter-observer agreement.<br />Results: We analyzed 46 patients receiving NAC, 6 patients did not undergo RC after NAC and were excluded. Eleven out of 40 (28%) patients showed a pCR. mpMRI could be assessed in over 90% of patients. Radiologic complete response (rCR) using both methods was significantly associated with pCR, with an overall specificity of 96% and sensitivity of 36% and a high inter-observer agreement. rCR as assessed by the 3-step score was significantly associated with disease free survival (DFS) benefit.<br />Conclusion: The use of nacVI-RADS can predict pCR after NAC with high specificity but low sensitivity and a high inter-observer agreement. A 3-step score adds value in determining local residual disease, rCR assessed by this method could correlate with DFS benefit. mpMRI scores should be prospectively assessed in future trials of multimodal management of MIBC and can be a predictive asset in routine clinical management.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
1471-2342
Volume :
24
Issue :
1
Database :
MEDLINE
Journal :
BMC medical imaging
Publication Type :
Academic Journal
Accession number :
39375642
Full Text :
https://doi.org/10.1186/s12880-024-01441-y