1. Magnetic detection of sentinel lymph node in papillary thyroid carcinoma: The MAGIC-PAT study results
- Author
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Ferran Rius Riu, Fernando Herrerías González, Pablo Muriel Álvarez, Ma Cruz de la Fuente Juárez, Juan Antonio Baena Fustegueras, Núria Mestres Petit, Xavier Matias-Guiu, Albert Lecube Torelló, Jorge Juan Olsina Kissler, Sonia Gatius Caldero, and Susana Ros López
- Subjects
Adult ,Male ,medicine.medical_specialty ,medicine.medical_treatment ,Sentinel lymph node ,Magnetometry ,Metal Nanoparticles ,030230 surgery ,Ferric Compounds ,Thyroid carcinoma ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Biopsy ,medicine ,Humans ,Thyroid Neoplasms ,Pathological ,Lymph node ,Aged ,Neoplasm Staging ,Total thyroidectomy ,medicine.diagnostic_test ,business.industry ,Sentinel Lymph Node Biopsy ,General Medicine ,Middle Aged ,medicine.anatomical_structure ,Magnetic Fields ,Oncology ,Thyroid Cancer, Papillary ,030220 oncology & carcinogenesis ,Surgery ,Lymphadenectomy ,Female ,Lymph ,Radiology ,Sentinel Lymph Node ,business - Abstract
Introduction Despite the controversy concerning sentinel lymph node biopsy (SLNB) in papillary thyroid carcinoma (PTC), successful detection rates can be achieved by radioguidance and vital dyeing. However, the drawbacks in both techniques are notable. Magnetic-guided SLNB (mSLNB) using superparamagnetic iron oxide (SPIO) nanoparticles is appealing as an alternative procedure. Materials and Methods mSLNB using the Sentimag-Sienna System®, total thyroidectomy and central compartment dissection (CCD) were performed on all PTC patients. Lymph node involvement was assessed by postoperative pathological examination. Results From 2014 to 2016, 33 consecutive patients with PTC were enrolled in the study. A total of 20 patients met the eligibility. mSLNB succeeded in 16 patients, with a detection rate of 80%. A median of two SLN per patient were detected. A median of 10.5 non-sentinel lymph nodes (NSLN) from CCD were examined. Among the patients, 56.25% (9/16) had no metastatic nodes, while 12.5% (2/16) had exclusively SLN involvement. No false negative cases were found. The agreement between SLN and NSLN status was 87.5%. The prediction of NSLN involvement by SLN status showed 100% sensitivity, 81.8% specificity, 71.4% PPV and 100% NPV. Subsequently, mSLNB and the final pathological analysis would discriminate 43.75% (7/16) of patients who would certainly benefit from CCD whilst 56.25% of the total would confirm an unnecessary lymphadenectomy and avoid morbidity. Conclusion mSLNB showed satisfactory performance in PTC with clinical-negative nodes. We have shown mSLNB to be a good predictor of central compartment status that can improve the staging and management of PTC patients.
- Published
- 2018