Soft‐tissue tumors evaluated by line‐scan diffusion‐weighted imaging: Influence of myxoid matrix on the apparent diffusion coefficient

Maeda, Masayuki; Matsumine, Akihiko; Kato, H; Kusuzaki, Katsuyuki; Maier, Stephan E.; Uchida, Atsushi; Takeda, Kan

doi:10.1002/jmri.20931

Cited by 101 publications

(91 citation statements)

References 17 publications

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“…To date, no study has reported the features of odontogenic myxomas on DWI. The myxoid matrix is peculiar in that free water is abundant in extracellular spaces [13]. This explains our findings of free diffusion and high ADC values (2.091¡0.19610 23 mm 2 s 21 ) in these lesions.…”

Section: Discussionsupporting

confidence: 62%

“…This explains our findings of free diffusion and high ADC values (2.091¡0.19610 23 mm 2 s 21 ) in these lesions. The study by Maeda et al [13] on musculoskeletal and soft-tissue tumours also showed that myxoid tumours have high ADC values when compared with non-myxoid tumours. Thus DWI may provide an additional paradigm to distinguish odontogenic myxoma from KCOT.…”

Section: Discussionmentioning

confidence: 91%

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Diffusion-weighted imaging in the evaluation of odontogenic cysts and tumours

Kalyanasundaram¹,

Bhalla²,

Sharma³

et al. 2012

BJR

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Objective: The differentiation between keratocystic odontogenic tumour (KCOT) and other cystic/predominantly cystic odontogenic tumours is difficult on conventional CT and MR sequences as there is overlap in the imaging characteristics of these lesions. The purpose of this study was to evaluate the role of diffusion-weighted imaging (DWI) and to assess the performance of apparent diffusion coefficients (ADCs) in the differential diagnosis of odontogenic cysts and tumours. Methods: 20 patients with odontogenic cysts and tumours of the maxillomandibular region were examined with DWI. Diffusion-weighted images were obtained with a single-shot echoplanar technique with b-values of 0, 500 and 1000 s mm 22. An ADC map was obtained at each slice position. Results: The cystic areas of ameloblastoma (n510) , which yielded 100% sensitivity and 100% specificity. Conclusion: DWI can be used to differentiate KCOT from cystic (or predominantly cystic) odontogenic tumours.

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Section: Discussionsupporting

confidence: 62%

Section: Discussionmentioning

confidence: 91%

Diffusion-weighted imaging in the evaluation of odontogenic cysts and tumours

Kalyanasundaram¹,

Bhalla²,

Sharma³

et al. 2012

BJR

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“…The results in these 3 cases were similar to those of previous reports, 12,13,22 but the remaining case, a myxoid leiomyosarcoma, showed a high ADC value due to the myxoid component. Maeda and associates 23 reported significantly higher ADC values of myxoid-containing soft-tissue tumors than nonmyxoid soft-tissue tumors; furthermore, the myxoid matrix influenced the ADC values of both benign and malignant tumors. Tamai's team 22 reported the high SI of uterine sarcomas and cellular leiomyomas on DW images.…”

Section: Discussionmentioning

confidence: 95%

Assessment of MR Imaging as a Tool to Differentiate between the Major Histological Types of Uterine Sarcomas

et al. 2015

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Objectives: We retrospectively compared and quantified magnetic resonance (MR) images to distinguish major histological types of uterine sarcomas and malignant and benign tumors.Methods: MR images were obtained from patients who underwent preoperative examinations. We compared 25 pathologically confirmed uterine sarcomas (8 leiomyosarcomas, 11 carcinosarcomas, 6 endometrial stromal sarcomas) with 25 uterine leiomyomas. MR findings included tumor size, location, contour, signal intensity (SI), and contrast enhancement. Analysis focused on the contrast ratio (CR) of SI in T 2 -weighted images for the areas of lowest, highest, and main SI of each tumor as well as the contrast-enhanced ratio (CER) for the main solid part of each tumor in contrast-enhanced T 1 -weighted images. We evaluated diffusion-weighted (DW) images and apparent diffusion coefficient (ADC) values in 18 tumors (4 sarcomas, 14 leiomyomas).Results: Uterine sarcomas and leiomyomas differed significantly in tumor location, contour, hemorrhaging, necrotic and cystic components, CR for the area of lowest SI (P < 0.05), CR for the area of main SI (P < 0.01), and CER (P < 0.05). Leiomyosarcomas were larger than carcinosarcomas or endometrial stromal sarcomas, and the CR for the area of lowest SI of leiomyosarcomas (P < 0.05) was significantly lower. The CER for endometrial stromal sarcomas (P < 0.05) showed the most homogeneous enhancement. Hemorrhagic or necrotic and cystic components were found more often in larger tumors, although there was no significant difference in their occurrence between sarcoma types. All uterine sarcomas showed high intensity on DW images. The ADC values were lower of uterine sarcomas than leiomyomas, although the difference was not statistically significant.Conclusion: Quantitative assessment using the CR or CER was useful for distinguishing benign and malignant uterine tumors as well as major histological types of uterine sarcomas.

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“…There have been inconsistent reports [8][9][10][11][12][13][14] using diffusion-weighted imaging (DWI) at 1.5 T for differentiation of malignant from benign soft tissue tumours. Benign lesions such as lipoma, epidermal inclusion cyst, and localized tenosynovial giant cell tumour (giant cell tumour of tendon sheath) can have low apparent diffusion coefficients (ADCs), while malignant tumours with myxoid or chondroid components have high ADCs [10,11,15]. However, the diagnosis can be easily made based on standard MRI in most cases of lipoma, epidermal inclusion cyst, and localized tenosynovial giant cell tumour.…”

Section: Introductionmentioning

confidence: 99%

Differentiation of malignant from benign soft tissue tumours: use of additive qualitative and quantitative diffusion-weighted MR imaging to standard MR imaging at 3.0 T

et al. 2015

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Objectives To determine the added value of diffusionweighted imaging (DWI) to standard magnetic resonance imaging (MRI) to differentiate malignant from benign soft tissue tumours at 3.0 T. Methods 3.0 T MR images including DWI in 63 patients who underwent surgery for soft tissue tumours were retrospectively analyzed. Two readers independently interpreted MRI for the presence of malignancy in two steps: standard MRI alone, standard MRI and DWI with qualitative and quantitative analysis combined. Results There were 34 malignant and 29 non-malignant soft tissue tumours. In qualitative analysis, hyperintensity relative to skeletal muscle was more frequent in malignant than benign tumours on DWI (P=0.003). In quantitative analysis, ADCs of malignant tumours were significantly lower than those of nonmalignant tumours (P≤0.002): 759±385 vs. 1188±423 μm 2 / sec minimum ADC value, 941±440 vs. 1310±440 μm 2 /sec average ADC value. The mean sensitivity, specificity and accuracy of both readers were 96 %, 72 %, and 85 % on standard MRI alone and 97 %, 90 %, and 94 % on standard MRI with DWI.Conclusions The addition of DWI to standard MRI improves the diagnostic accuracy for differentiation of malignant from benign soft tissue tumours at 3.0 T. Key Points • DWI has added value for differentiating malignant from benign soft tissue tumours. • Addition of DWI to standard MRI at 3.0 T improves the diagnostic accuracy. • Measurements of both ADC min within solid portion and ADC av are helpful.

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Soft‐tissue tumors evaluated by line‐scan diffusion‐weighted imaging: Influence of myxoid matrix on the apparent diffusion coefficient

Cited by 101 publications

References 17 publications

Diffusion-weighted imaging in the evaluation of odontogenic cysts and tumours

Diffusion-weighted imaging in the evaluation of odontogenic cysts and tumours

Assessment of MR Imaging as a Tool to Differentiate between the Major Histological Types of Uterine Sarcomas

Differentiation of malignant from benign soft tissue tumours: use of additive qualitative and quantitative diffusion-weighted MR imaging to standard MR imaging at 3.0 T

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