Book chapter
Imaging Assessment of Cutaneous Tumors
Oncodermatology, pp.247-284
Springer International Publishing
2023
DOI: 10.1007/978-3-031-29277-4_12
Abstract
Thanks to recent advances in imaging technology, now we have noninvasive radiological imaging modalities approaches for skin malignancies. These methods help in detecting, diagnosing, and even treating skin cancer. Imaging tools can help in pretreatment assessment, with primary lesion evaluation and staging, helping in therapeutic or surgical planning. Also the postoperative assessment can be done, evaluating therapeutic responses and reminiscent or recurrent lesions and for surveillance. Although the majority of skin tumors can be treated without additional information provided by imaging studies, large or aggressive high-risk cancers or those that compromise relevant anatomic structures necessitate additional information to optimize management. Different imaging modalities address specific clinical questions. The imaging evaluation should be tailored to specific clinical questions, with an understanding of the strengths and limitations of each modality. Discussion with your radiologist can optimize the imaging process, yield the best information, and promote patient safety. Careful consideration of the clinical context of imaging and of patient limitations will benefit patient care and optimize utilization of resources.
Details
- Title: Subtitle
- Imaging Assessment of Cutaneous Tumors
- Creators
- Luciana Carmen ZattarIsabela dos Santos Alves - Hospital Sírio-LibanêsMarcelo Araújo Queiroz - Hospital Sírio-LibanêsAntônio Sérgio Zafred Marcelino - Hospital Sírio-Libanês
- Contributors
- Cristina Martinez Zugaib Abdalla (Editor)José Antonio Sanches (Editor)Rodrigo Ramella Munhoz (Editor)Francisco Aparecido Belfort (Editor)
- Resource Type
- Book chapter
- Publication Details
- Oncodermatology, pp.247-284
- Publisher
- Springer International Publishing; Cham
- DOI
- 10.1007/978-3-031-29277-4_12
- Number of pages
- 38
- Language
- English
- Date published
- 2023
- Academic Unit
- Radiology
- Record Identifier
- 9984700436502771
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