Application of dynamic MRI to differentiating odontogenic myxomas from ameloblastomas

Asaumi, Jun Ichi; Matsuzaki, Hidenori; Hisatomi, Miki; Konouchi, Hironobu; Shigehara, Hiroshi; Kishi, Kanji

doi:10.1016/s0720-048x(01)00453-3

Cited by 34 publications

(21 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Indeed, we have reported the diagnostic value of DCE-MRI and time-SI curves (or CI curves) for jawbone lesions including odontogenic tumours. [6][7][8][9][10] However, although the abovementioned studies were case reports or comparison studies involving one or a few histopathological types, we could not determine how many cases of each histopathological type of odontogenic tumour they examined. [6][7][8][9][10] To the best of our knowledge, there have been no studies of the DCE-MRI parameters of odontogenic tumours.…”

Section: Discussionmentioning

confidence: 99%

“…[6][7][8][9][10] However, although the abovementioned studies were case reports or comparison studies involving one or a few histopathological types, we could not determine how many cases of each histopathological type of odontogenic tumour they examined. [6][7][8][9][10] To the best of our knowledge, there have been no studies of the DCE-MRI parameters of odontogenic tumours. In this CI 300 , the CI observed at 300 s after contrast medium injection; CI peak , maximum contrast index (CI max ) 3 0.90; T max , the time when CI max occurred; T peak , the time when CI peak occurred retrospective study of odontogenic tumours, we newly classified odontogenic tumours into five types (Types A-E) on the basis of their DCE-MRI parameters ( Figure 8) because the previously developed criteria for head and neck tumours are not appropriate for odontogenic tumours.…”

Section: Discussionmentioning

confidence: 99%

“…Some authors, including us, have previously reported the usefulness of MRI, including dynamic contrast-enhanced MRI (DCE-MRI), for the differential diagnosis of odontogenic tumours. [5][6][7][8][9][10][11][12] However, these previous studies were case reports or comparison studies involving one or a few histopathological types. [5][6][7][8][9][10][11][12] Therefore, the aims of this study were to evaluate the diagnostic value of MRI including DCE-MRI for odontogenic tumours and to establish criteria for their diagnosis.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Diagnostic value of MRI for odontogenic tumours

Fujita

Matsuzaki²,

Yanagi

et al. 2013

Dentomaxillofacial Radiology

View full text Add to dashboard Cite

Objectives: To evaluate the diagnostic value of MRI for odontogenic tumours. Materials and methods: 51 patients with odontogenic tumours were subjected to preoperative MRI examinations. For tumours with liquid components, i.e. ameloblastomas and keratocystic odontogenic tumours (KCOTs), the signal intensity (SI) uniformity of their cystic components (US) was calculated and then their US values were compared. For tumours with solid components that had been examined using dynamic contrast-enhanced MRI (DCE-MRI), their CI max (maximum contrast index), T max (the time when CI max occurred), CI peak (CI max 3 0.90), T peak (the time when CI peak occurred) and CI 300 (i.e. the CI observed at 300 s after contrast medium injection) values were determined from CI curves. We then classified the odontogenic tumours according to their DCE-MRI parameters. Results: Significant differences between the US values of the ameloblastomas and KCOT were observed on T 1 weighted images, T 2 weighted images and short TI inversion recovery images. Depending on their DCE-MRI parameters, we classified the odontogenic tumours into the following five types: Type A, CI peak . 2.0 and T peak , 200 s; Type B, CI peak , 2.0 and T peak , 200 s; Type C, CI 300 . 2.0 and T max , 600 s; Type D, CI 300 . 2.0 and T max . 600 s; Type E, CI 300 , 2.0 and T max . 600 s. Conclusion: Cystic component SI uniformity was found to be useful for differentiating between ameloblastomas and KCOT. However, the DCE-MRI parameters of odontogenic tumours, except for odontogenic fibromas and odontogenic myxomas, contributed little to their differential diagnosis.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Diagnostic value of MRI for odontogenic tumours

Fujita

Matsuzaki²,

Yanagi

et al. 2013

Dentomaxillofacial Radiology

View full text Add to dashboard Cite

show abstract

“…It has been reported that dynamic contrast-enhanced MRI (DCE-MRI) is useful for the differential diagnosis of some tumors, and many investigators have attempted to use it to identify differences between benign and malignant tumors, as well as to assess the malignancy of tumors [3][4][5][6]. We have also reported the usefulness of DCE-MRI for tumor diagnosis [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Application of dynamic contrast-enhanced MRI to differentiate malignant lymphoma from squamous cell carcinoma in the head and neck

et al. 2004

Self Cite

View full text Add to dashboard Cite

Because malignant lymphoma, the second most common malignant tumor of the head and neck, and squamous cell carcinoma (SCC), the most common malignant tumor of the head and neck, require different treatments, it is important to be able to differentiate them. In the present study, we attempted to differentiate malignant lymphomas from SCCs using dynamic contrast-enhanced MRI (DCE-MRI). Seventeen lesions (in 8 cases) of malignant lymphoma and 30 cases of SCC were compared by DCE-MRI.Thirteen of 17 malignant lymphomas (76.5 %) showed the maximum contrast index (CI) at 90-180 s, while 26 of 30 SCCs (86.7%) showed the maximum CI at a much faster 60-105 s. There was a statistically significant difference between SCC and malignant lymphoma in the time needed reach the maximum CI (p=0.0177). There was also significant difference between SCC and malignant lymphoma in their maximum CIs (p<0.001), with the maximum CIs of 29/30 SCCs (96.7%) above 2.0, while 12/17 malignant lymphomas (70.6%) showed CIs of less than 2.0. We consider these findings to be useful for distinguishing lymphomas from SCCs.

show abstract

“…In some instances, however, this imaging results in signals of the same intensity even though the histological character of the samples differs. Dynamic MRI, which allows the evaluation of hemodynamics in lesions through continuous acquisition following intravenous injection of contrast medium and observation over time, is considered useful in such instances [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] and has been reported to allow the differential diagnosis of benign and malignant tumors based on time-intensity curves. [2][3][4][5][6][7][11][12][13][14][15][16] Reports vary, however, regarding the differentiation of benign from malignant tumors using time-intensity curves, and there are as yet no fi xed diagnostic criteria.…”

Section: Introductionmentioning

confidence: 99%

Dynamic magnetic resonance imaging of cervical lymph nodes in patients with oral cancer: utility of the small region of interest method in evaluating the architecture of cervical lymph nodes

et al. 2008

View full text Add to dashboard Cite

Dynamic magnetic resonance imaging of cervical lymph nodes in patients with oral cancer: utility of the small region of interest method in evaluating the architecture of cervical lymph nodes Abstract Objective. Our purpose was to evaluate the utility of the small region of interest (ROI) method to detect the architecture of cervical lymph nodes and the specifi city of timeintensity curves for tissue present in cervical lymph nodes. Methods. Specimens were taken from 17 lymph nodes of eight patients (ten sides of the neck) with oral squamous cell carcinoma who underwent dynamic contrast-enhanced magnetic resonance imaging (MRI) and neck dissection between 2005 and 2007 at our hospital. Two methods of constructing time-intensity curves were compared: the conventional method that uses relatively large ROIs, and a new method that uses small ROIs. Curves made with the small ROI method were then compared to histopathological fi ndings for dissected lymph nodes.Results. The small ROI method allowed differences in signal intensity to be discerned at the tissue level, which was not possible with the conventional large ROI method. Curves for normal lymphoid tissue tended to be type I, those for tumor cells tended to be type II, and those for keratinization/necrosis tended to be types III and IV, indicating that time-intensity curves can be specifi c to tissue type within lymph nodes. Conclusion. The small ROI method was useful for evaluation of the architecture of cervical lymph nodes.

show abstract

Application of dynamic MRI to differentiating odontogenic myxomas from ameloblastomas

Cited by 34 publications

References 17 publications

Diagnostic value of MRI for odontogenic tumours

Diagnostic value of MRI for odontogenic tumours

Application of dynamic contrast-enhanced MRI to differentiate malignant lymphoma from squamous cell carcinoma in the head and neck

Dynamic magnetic resonance imaging of cervical lymph nodes in patients with oral cancer: utility of the small region of interest method in evaluating the architecture of cervical lymph nodes

Contact Info

Product

Resources

About