
MRI
Overview
Magnetic Resonance Imaging (MRI) uses powerful magnetic fields and radio waves to generate images of organs and tissues inside the body. Unlike X-rays or CT scans, MRI does not use ionizing radiation. The MRI machine contains a strong magnet that creates a powerful magnetic field, typically ranging from 1.5 to 3 Tesla. This magnetic field aligns the hydrogen nuclei in the body's water molecules. Once the hydrogen nuclei are aligned, the machine sends radiofrequency pulses to temporarily disturb this alignment. When the pulses are turned off, the hydrogen nuclei return to their original state, emitting radiofrequency signals in the process. These emitted signals are detected by the MRI machine and used to construct images of the body's internal structures. MRI provides non invasive high-resolution images of soft tissues, making it particularly useful for imaging the brain, spinal cord, muscles, ligaments, and other soft tissues. In addition, It is possible to use intravenous contrasts agents to obtain higher contrast in specific tissues. (1)
Applications in clinical Dermatology
In dermatology, MRI is used primarily to evaluate skin conditions and diseases that involve deeper tissue structures not visible with other imaging techniques.
MRI in Malignant Skin Tumors (3)
Assessment of Soft Tissue Lesions: While MRI is not typically used for initial diagnosis—often made through biopsy or visual inspection—it helps distinguish between benign and malignant lesions based on their tissue characteristics and extent (Table1).
Preoperative Planning: MRI provides detailed images of a lesion’s size, depth, and local extent, particularly for skin lesions that extend beyond the surface and involve deeper tissues such as subcutaneous fat and muscle. It also illustrates the lesion's relationship to surrounding tissues, including potential invasion of nerves, lymphatics, or blood vessels. This information is crucial for planning complex surgical procedures, especially for large or deep tumors
Monitoring Tumor Response: MRI is used to track how skin tumors respond to treatments such as chemotherapy, radiation, or targeted therapies. It is effective in assessing changes in tumor size and structure over time.
Evaluation of Melanoma: MRI can be used to assess the local extent of melanoma and to identify any regional or distant metastases. It is particularly helpful in evaluating the involvement of lymph nodes and other distant sites and if perineural invasion is suspected.
Evaluation of NMSC (non-melanoma skin cancer): MRI should be considered for locally advanced disease, or if there is suspicion of perineural invasion, nodal or distant metastases.
Table 1 - Characteristic MRI findings of malignant skin tumors (3).
Malignant skin tumors | Characteristic imaging finding |
Squamous cell carcinoma | Flat elevated lesion, hemorrhage |
Basal cell carcinoma | Intra-tumoral cystic foci on T2W |
Melanoma | Flat elevated lesion, intra-tumoral hyperintensity on T1W |
Lymphoma | Multiple skin lesions, homogenous signal on T2WI |
Angiosarcoma | Flat elevated lesion, widespread, multiple skin lesions, intra-tumoral hypo-intensity on T2WI, hemorrhage |
Merkel cell carcinoma | Multiple skin lesions |
Extra-mammary Paget disease | Widespread |
Porocarcinoma | Pedunculated, homogenous signal on T2WI, intra-tumoral hyperintensity on T1WI, intra-tumoral cystic foci on T2WI |
Hidradenocarcinoma | Cystic lesion with mural nodule or wall thickening |
Proliferating trichilemmal tumor | Intra-tumoral hypointensity on T2WI |
MRI in Assessment of Inflammatory Skin Conditions:
Hidradenitis Suppurativa- MRI is used for the detection, characterization, and measurement of tunnels in the perianal region. It supports surgical planning, particularly in patients with perianal involvement. (5)
Morphea- valuable diagnostic tool for detecting and monitoring musculoskeletal involvement. It can reveal features such as fascial thickening, articular synovitis, tenosynovitis, and subcutaneous septal thickening. Follow-up imaging with MRI can show treatment effects and disease progression. (2)
MRI in Evaluation of Congenital Anomalies
MRI is helpful in assessing congenital cutaneous malformations and vascular anomalies, such as hemangiomas and vascular malformations. (6)
Advantages and limitations of MRI in skin analysis (4)
Non-Invasive Technique that allows for distinguishing diseased tissues from surrounding normal tissues.
Spatial Resolution: While MRI may not offer the highest spatial resolution for evaluating skin compared to other methods, it provides detailed anatomical and biochemical information about the skin. MRI is excellent for assessing deeper structures but might not deliver the fine detail needed for superficial skin lesions, where techniques like dermoscopy or confocal microscopy might be more suitable.
Resolution Limits: Resolution in MRI is influenced by involuntary patient motion or physiological motion (e.g., blood pulsation, breathing, swallowing, eye movement) which can significantly decrease effective resolution. Avoiding patient motion to achieve resolutions below 0.1 mm is virtually impossible. Consequently, the reasonable MRI resolution for human in vivo imaging is close to 0.1 mm.
Expensive and may not be as readily available as other imaging modalities, such as ultrasound or CT.
Experimental Applications in Dermatology (1)
Skin Hydration: MRI allows in vitro examination of water mobility in the skin and transdermal shunts. High-field MRI and in vitro Nuclear Magnetic Resonance (NMR) microscopy are employed to study skin hydration effects, product efficacy, and water mobility in skin layers. Gradient at Right Angles to Field (GARField) MRI provides high spatial resolution for detailed imaging of skin layers and moisture content.
Biochemical Characterization: MRI aids in analyzing the skin's biochemical profile, including collagen content and hydration levels.
Drug and Product Penetration: MRI assesses the penetration and distribution of cosmetic products, offering insights into their effectiveness and the interaction between water and lipids in the skin.
Skin Vascularization: MRI can measure skin vascularization in both normal and pathological conditions.
References
(1). https://onlinelibrary.wiley.com/doi/epdf/10.1111/j.1468-3083.2010.03588.x
(2). https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/srt.13410
(3). https://link.springer.com/article/10.1186/s13244-022-01205-8
(4). https://onlinelibrary.wiley.com/doi/epdf/10.1111/j.1468-3083.2010.03588.x
Relevant Links
Recent Developments
Evolution of Total Body Photography
Total body photography evolved from 2D imaging to the ability to create a 3D representation of the patient, integrated with dermoscopic images of individual lesions marked on the 3D avatar, ensuring accurate documentation of each lesion’s anatomical location and enabling effective monitoring over time.
Since 2017, the Vectra WB360 system (Canfield Scientific Inc, Parsippany, NJ, USA) has been available (Figure2). This system features:
92 Cameras and Enhanced Lighting: Captures images simultaneously, constructing a digital 3D avatar within milliseconds as the patient maintains a single anatomical position. The physical device using an imaging pod equipped with 92 fixed cameras (46 stereo-pairs of cameras) and xenon flashes capable of both crossed-polarized and non-polarized lighting.
360-Degree View: Provides a comprehensive 360-degree view of all body angles, including curved surfaces that are difficult to capture with 2D imaging. Lesions on certain anatomic sites like the volar surfaces, genitalia, or hair-bearing scalp are generally not visible.

Figure 2. The Vectra 3D system (Canfield Scientific, Inc., Parsippany, NJ, USA).
Memorial Sloan Kettering Cancer Center. The patient stands in the device and image capture happens in milliseconds.
The new system provides insights based on AI and includes automatic comparison between images, tracking changes, and marking new or changing lesions on the pictures. At present, the resulting 3D-images are primarily used by dermatologists as a reference comparison to identify new or changing pigmented skin lesions in moly patients. A single-center, retrospective observational study by Marchetti et al (3) showed that automated analysis of whole-body 3D images could effectively discriminate melanoma from other skin lesions, highlighting the potential to improve melanoma detection with larger, more diverse datasets in future studies.
The Vectra DermaGraphix software can automatically identify and characterize the clinical morphology of all visible lesions greater than 2mm on an individual's body. It also allows clinicians to tag (record) and monitor lesions within a secure database, which can be associated with pathology reports. The Lesion Visualizer (LV) research tool for DermaGraphix uses AI algorithms to automatically locate lesions throughout the 3D TBP capture and estimates a set of measures for each lesion, including size, shape, color, "nevus confidence," and asymmetry, among others. Lesions are identified in one of two ways: (1) manual lesion tagging performed by a clinician, often to attribute other clinical and dermoscopy photos to the lesion; and (2) automated lesion detection performed by the LV.

Representative clinical images (3). (a) Example views of a 3D whole body image from a model (images provided by and courtesy of Canfield Scientific Inc.). (b) Illustrative patient diagnosed with melanoma in situ on right chest (red circle, lesion no. 18). Other lesions automatically identified by the software are tagged with white triangles. (c) Screenshot of the same patient's data provided by the software for all 522 automatically-detected skin lesions. The spiral diagram at center shows 522 lesions >2mm sorted by longest diameter (larger lesions in center and smaller lesions at periphery). The melanoma in situ is indicated by the red circle. The left panel shows the relatives scores of the melanoma in situ (white bars) ranked in context of the scores for the patient's other 521 lesions (blue bars) for longest diameter, contrast, border irregularity, color variation, hue, and nevus versus non-nevus confidence. The prediction model's score of the melanoma in situ on the right chest was ranked in the 98th percentile of the patient's lesions (516 out of 522).
References
(1). https://pubmed.ncbi.nlm.nih.gov/37453242/
(2). https://pubmed.ncbi.nlm.nih.gov/29911103/
(3). https://pubmed.ncbi.nlm.nih.gov/36708077/
Upcoming Meetings
No upcoming meetings.
Other topics

Dermoscopy

Confocal Microscopy

Diffuse Multispectral Imaging

MRI

Optical Coherence Tomography

Total Body Photography
