Differentiated Thyroid Cancer after Thyroidectomy.
Wei Ming ChuaCharlene Yu Lin TangKelvin S H LokeWinnie Wing-Chuen LamSamantha Peiling YangMelissa Shuhui LeeWenlu HouMay Yi Shan LimKheng Choon LimRobert Chun ChenPublished in: Radiographics : a review publication of the Radiological Society of North America, Inc (2024)
The widespread use of neck US and other imaging modalities has contributed to a phenomenon of increased detection of differentiated thyroid cancer (DTC). Most of these cancers remain indolent, without requiring surgical intervention. Nonetheless, a subset of patients who require surgical treatment experience subsequent disease recurrence. This most commonly occurs in the cervical lymph nodes and thyroid bed, followed by distant metastasis to the lungs and bones. Because imaging is an integral part of postoperative surveillance, radiologists play a central role in the detection of recurrent tumors and in guiding treatment in these patients. US is the primary imaging modality used for postoperative evaluation. Other modalities such as CT, MRI, radioactive iodine imaging, and PET/CT aid in the accurate diagnosis and characterization of recurrent disease. Therefore, radiologists must have a thorough understanding of the utility of these imaging techniques and the imaging characteristics of recurrent DTC when interpreting these multimodality studies. The interpretation of imaging findings should also be correlated with the clinical status of patients and their biochemical markers to minimize interpretative errors. The authors present a broad overview of the postoperative evaluation of DTC, including its initial primary management, staging, and prognostication; clinical risk stratification for recurrent disease; postoperative surveillance with imaging and evaluation of biochemical markers; and management of recurrent DTC. Published under a CC BY 4.0 license. Supplemental material is available for this article.
Keyphrases
- high resolution
- lymph node
- patients undergoing
- end stage renal disease
- magnetic resonance imaging
- public health
- randomized controlled trial
- newly diagnosed
- chronic kidney disease
- emergency department
- computed tomography
- mass spectrometry
- magnetic resonance
- photodynamic therapy
- patient safety
- prognostic factors
- machine learning
- systematic review
- artificial intelligence
- quality improvement
- peritoneal dialysis
- electronic health record
- real time pcr
- image quality