Noncontrast-enhanced 3-Tesla MRI using surface coil as a complementary test for assessment of distribution and depth of locoregional cutaneous metastases of malignant melanoma.

Seyed Jafari, Seyed Morteza; Mazinani, Mona; Beutler-Minth, Verena; Lamos, Cristina; Heverhagen, Johannes T; Hunger, Robert H; Daneshvar, Keivan (2022). Noncontrast-enhanced 3-Tesla MRI using surface coil as a complementary test for assessment of distribution and depth of locoregional cutaneous metastases of malignant melanoma. Melanoma research, 32(4), pp. 211-217. Lippincott Williams & Wilkins 10.1097/CMR.0000000000000828

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Locoregional and distant metastases account for most cases of morbidity and mortality associated with melanoma. In addition, local recurrences of melanoma might be the onset of disseminated disease. Therefore, precise diagnosis and therapy are warranted to minimize morbidity and increase survival in a subset of patients. However, the correct distribution of the metastatic lesions on the skin is often difficult to estimate. We present the application of noncontrast-enhanced 3-Tesla MRI using surface coil to detect locoregional cutaneous metastases of malignant melanoma on the basis of the topographic assessment of skin lesions. Furthermore, in a systematic review, we summarize the current knowledge about application of MRI in assessment of location, distribution, and depth of cutaneous primary malignant melanoma. MRI might be applied to evaluate the location, distribution, size, and depth of the locoregional cutaneous metastasis of malignant melanoma to identify the optimal cost-effective treatment strategies and monitor their effects.

Item Type:

Journal Article (Review Article)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology
04 Faculty of Medicine > Department of Dermatology, Urology, Rheumatology, Nephrology, Osteoporosis (DURN) > Clinic of Dermatology

UniBE Contributor:

Jafari, Morteza, Lamos, Cristina, Heverhagen, Johannes, Hunger, Robert, Daneshvar, Keivan

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1473-5636

Publisher:

Lippincott Williams & Wilkins

Language:

English

Submitter:

Pubmed Import

Date Deposited:

18 May 2022 09:51

Last Modified:

02 Mar 2023 23:36

Publisher DOI:

10.1097/CMR.0000000000000828

PubMed ID:

35579669

BORIS DOI:

10.48350/170094

URI:

https://boris.unibe.ch/id/eprint/170094

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