Literature DB >> 27585490

Whole-body diffusion-weighted magnetic resonance imaging in the diagnosis of recurrent ovarian cancer: a clinical feasibility study.

Katrijn L M Michielsen1, Ignace Vergote2, Raphaëla Dresen1, Katya Op de Beeck1, Ragna Vanslembrouck1, Frédéric Amant2,3, Karin Leunen2, Philippe Moerman1, Steffen Fieuws4, Frederik De Keyzer1, Vincent Vandecaveye1.   

Abstract

OBJECTIVE: To assess the clinical feasibility of whole-body diffusion-weighted MRI (WB-DWI/MRI) for diagnosis and prediction of complete tumour resection in patients with suspected recurrent ovarian cancer.
METHODS: 51 females clinically suspected for ovarian cancer recurrence underwent 3-T WB-DWI/MRI in addition to contrast-enhanced CT. WB-DWI/MRI was assessed for detection of tumour recurrence, prediction of tumour extent and complete resection compared with CT. Tumour presence was confirmed by pathology obtained by surgery or biopsy, or by imaging follow-up.
RESULTS: WB-DWI/MRI showed 94% accuracy for detecting ovarian cancer recurrence, compared with 78% for CT (p = 0.008). WB-DWI/MRI showed better sensitivity [% (95% confidence interval)] than CT for detecting involvement of surgically critical tumour sites including mesenteric root infiltration [92 (62-100) vs 31 (10-61)], small bowel [93 (64-100) vs 21 (6-51)], colon carcinomatosis [91 (57-100) vs 27 (7-61)] and unresectable distant metastases [90 (54-99) vs 20 (4-56)]. WB-DWI/MRI correctly predicted complete resection in 33 of 35 (94%) patients eligible for salvage surgery compared with 17 of 35 (49%) for CT (p < 0.001).
CONCLUSION: WB-DWI/MRI allowed better detection of ovarian cancer recurrence and better prediction of complete resection than CT. Advances in knowledge: WB-DWI/MRI could assist in optimizing treatment planning for recurrent ovarian cancer, particularly by improving patient selection for salvage surgery, thus giving eligible patients the highest chance on prolonged survival and refraining patients who would not benefit from extensive surgery reducing related morbidity and mortality.

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Year:  2016        PMID: 27585490      PMCID: PMC5124845          DOI: 10.1259/bjr.20160468

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  31 in total

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