| Literature DB >> 19082350 |
Carlos Toyama1, Claudia da Costa Leite2, Iulo Sérgio Baraúna Filho3, Rubens Vuono de Brito Neto4, Ricardo Fereira Bento5, Giovanni Guido Cerri6, Eloisa Maria Melo Santiago Gebrim7.
Abstract
UNLABELLED: Conventional CT and MRI scans have low specificity when it comes to differentiating granulation tissue from relapsing cholesteatoma. AIM: this paper aims to analyze the use of DWI and delayed post-contrast T1-weighed imaging in the detection of recurring cholesteatomas. MATERIALS ANDEntities:
Mesh:
Substances:
Year: 2008 PMID: 19082350 PMCID: PMC9445948 DOI: 10.1016/S1808-8694(15)31378-1
Source DB: PubMed Journal: Braz J Otorhinolaryngol ISSN: 1808-8686
Figure 2Male patient, 57, with relapsing cholesteatoma in the left mastoid. A- CT scan axial view with unspecific soft tissue in the surgical cavity. B- Axial view on T2; C- Delayed post-contrast axial view on T1; D- Axial view on diffusion imaging. Cholesteatoma resonance images are characterized by hypersignal in diffusion MRI and absence of intravenous contrast uptake.
Figure 1Female patient, 56, operated for cholesteatoma to the right and surgically diagnosed as inflammation in the surgical cavity. A- Axial view on T1 without contrast. B- Axial view on T2; C- Delayed post-contrast axial view on T1; and D- Axial view on diffusion imaging. The surgical cavity is filled by tissue with hypersignal on T2 (B) uptake by intravenous contrast (C) no signal changes on diffusion imaging (D). Contrast uptake and absence of changes in diffusion imaging are indicative of inflammation.
| Sens | Spec | PPV | NPV | False - | False + | N | Reference |
|---|---|---|---|---|---|---|---|
| 77% | 100% | 100% | 75% | 3 (<5mm) | 22 | Aikele P. et al AJR 2003; 181:262-26511 | |
| 86% | 100% | 100% | 92% | 1 (2mm) | 18 | Stasolla A. et al Otol Neurotol 2004;25:879-8412 | |
| 100% | 91% | 93% | 100% | 1 Pó ósseo | 24 | Dubrulle F. et al Radiology 2006;238: 604-1015 | |
| 12,5% | 100% | 100% | 72% | 6 (<4mm) | 45 | Vercruysse JP. Et al Eur Radiol 2006; 16:1461-716 |
Sens: sensitivity
Spec: specificity
PPV: positive predictive value
NPV: negative predictive value
False +: false positive
False -: false negative
N: number of patients