2019
DOI: 10.1002/jmri.26318
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Population net benefit of prostate MRI with high spatiotemporal resolution contrast‐enhanced imaging: A decision curve analysis

Abstract: Background The value of dynamic contrast‐enhanced (DCE) sequences in prostate MRI compared with noncontrast MRI is controversial. Purpose To evaluate the population net benefit of risk stratification using DCE‐MRI for detection of high‐grade prostate cancer (HGPCA), with or without high spatiotemporal resolution DCE imaging. Study Type Decision curve analysis. Population Previously published patient studies on MRI for HGPCA detection, one using DCE with golden‐angle radial sparse parallel (GRASP) images and th… Show more

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Cited by 6 publications
(6 citation statements)
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“…However, evaluating the clinical usefulness of our nomogram depends on how much it benefits the patient, not just its popularization ( Huang et al, 2016 ). DCA is a novel method that has been widely used in the evaluation of clinical research effectiveness ( Hijazi et al, 2016 ; Prabhu et al, 2019 ; Talluri & Shete, 2016 ). It offers insight into clinical consequences on the basis of threshold probability, from which the net benefit could be derived ( Balachandran et al, 2015 ).…”
Section: Discussionmentioning
confidence: 99%
“…However, evaluating the clinical usefulness of our nomogram depends on how much it benefits the patient, not just its popularization ( Huang et al, 2016 ). DCA is a novel method that has been widely used in the evaluation of clinical research effectiveness ( Hijazi et al, 2016 ; Prabhu et al, 2019 ; Talluri & Shete, 2016 ). It offers insight into clinical consequences on the basis of threshold probability, from which the net benefit could be derived ( Balachandran et al, 2015 ).…”
Section: Discussionmentioning
confidence: 99%
“…However, to evaluate its clinical usefulness, it depends on how much it benefits the patient, not just its popularization 29 . DCA is an novel method 30,31 , it offers insight into clinical consequences on the basis of threshold probability, from which the net benefit could be derived 32 . The DCA showed that if we choose to diagnose COVID-19 pneumonia with a 60% threshold probability, 40 out of every 100 people will benefit.…”
Section: Discussionmentioning
confidence: 99%
“…However, to evaluate its clinical usefulness, it depends on how much it benefits the patient, not just its popularization [29]. DCA is an novel method [30,31], it offers insight into clinical consequences on the basis of threshold probability, from which the net benefit could be derived [32]. The DCA showed that if we choose to diagnose COVID-19 pneumonia with a 60% threshold probability, 40 out of every 13 100 people will benefit.…”
Section: Discussionmentioning
confidence: 99%