2013
DOI: 10.1007/s00330-013-2837-7
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Diffusion-weighted magnetic resonance imaging evaluation of intra-abdominal sites of implants to predict likelihood of suboptimal cytoreductive surgery in patients with ovarian carcinoma

Abstract: • DWMRI is increasingly used in ovarian cancer. • DWMRI is an accurate technique for depicting intra-abdominal sites of implants • DWMRI is useful for predicting optimal cytoreductive surgical outcome. • We report a high predictive value similar to exploratory laparotomy.

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Cited by 62 publications
(34 citation statements)
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“…In particular DCE-MR has higher per-lesion sensitivity (95%) and specificity (80%). DWI-MR improves the evaluation of disease extension [36,56,57] and may predict the likelihood of suboptimal cytoreduction [58].…”
Section: Ct and Mrimentioning
confidence: 99%
“…In particular DCE-MR has higher per-lesion sensitivity (95%) and specificity (80%). DWI-MR improves the evaluation of disease extension [36,56,57] and may predict the likelihood of suboptimal cytoreduction [58].…”
Section: Ct and Mrimentioning
confidence: 99%
“…Соответственно, применение ДВ МРТ ведет к улучше-нию выявляемости злокачественных новообразований, в частности перитонеальных метастазов, что позволяет вовремя провести противорецидивное лечение [40,41].…”
Section: возможности применения диффузионно-взвешенных изображений маunclassified
“…Compared to surgical-site findings, the overall sensitivity and specificity were 88% and 74%. Besides, Espada et al [54] developed a scoring system with a diagnostic accuracy of 91% by evaluating DWI for detection of PM in 34 patients. In a more recent report [48], preoperative DWI and CT scanning to determine the PCI were performed in 22 patients with PM undergoing CRS, where DWI demonstrated predictive accuracy of 91%, 83%, and 94% in overall category, low to moderate tumor burden (PCI ≤ 20), and large tumor burden (PCI > 20), compared with CT with a corresponding predictive accuracy of 50%, 50%, and 44%.…”
Section: Controversial Issues and Latest Progressmentioning
confidence: 99%