ABSTRACT
INTRODUCTION: Freehand SPECT can be a useful imaging technique for preoperative planning of sentinel lymph node biopsy (SLNB) as it allows localization of the sentinel node by 3D and real-time tomographic imaging and determines its depth after a few minutes of scanning. The aim of the study was to evaluate the correlation between the number of detected SNs between freehand SPECT images and lymphoscintigraphy (LS). MATERIALS AND METHODS: 100 patients with a diagnosis of invasive breast cancer and no clinical evidence of lymph node involvement prospectively underwent SLNB. The preoperative study included freehand SPECT imaging at 15min after injection and LS imaging at 25 and 60-90min after injection (early and late). The observed agreement was analyzed and a concordance study was performed between the number of SNs detected with freehand SPECT and LS. RESULTS: The observed agreement in the detection of SNs between freehand SPECT and early LS was 72%; between freehand SPECT and late LS was 85%; and between early and late LS was 87%. In the concordance study, there was moderate concordance between freehand SPECT and early LS (kappa coefficient: 0.42); moderate-high concordance between freehand SPECT and late LS (kappa coefficient: 0.60); and moderate-high concordance between early and late LS (kappa coefficient: 0.70), with no significant differences between them (p-value=0.16). CONCLUSION: Freehand SPECT showed a moderate-high concordance with conventional imaging studies and could be a valid alternative for the presurgical study of SLNB in breast cancer.
Subject(s)
Breast Neoplasms , Sentinel Lymph Node , Humans , Female , Sentinel Lymph Node/diagnostic imaging , Sentinel Lymph Node/pathology , Breast Neoplasms/diagnostic imaging , Breast Neoplasms/surgery , Breast Neoplasms/pathology , Sentinel Lymph Node Biopsy/methods , Tomography, Emission-Computed, Single-Photon/methods , Lymph Nodes/pathologyABSTRACT
Objetivo Sintetizar la evidencia actual sobre la utilidad de la radiómica en el análisis de la imagen PET/TC en cáncer de mama local o localmente avanzado y evaluar la calidad metodológica de los estudios radiómicos publicados al respecto. Material y métodos Revisión sistemática de artículos en distintas bases de datos hasta 2021 utilizando los términos «PET», «radiomics», «texture», «breast». Se seleccionaron solo artículos con datos humanos y que incluyeran una imagen de PET en su análisis. Se excluyeron estudios con datos de pruebas y menos de 20 pacientes. De cada artículo se extrajo el tamaño muestral, el radiotrazador utilizado, la técnica de imagen y las características de imagen extraídas. Se determinó la calidad metodológica de los estudios mediante el instrumento QUADAS-2. Resultados Se seleccionaron 18 artículos. El diseño retrospectivo fue el más utilizado. La característica radiómica más estudiada fue el SUVmax. Diversos parámetros radiómicos se correlacionaron con la caracterización tumoral, y la heterogeneidad tumoral demostró utilidad para predecir el curso de la enfermedad y la respuesta al tratamiento. La mayoría de los artículos mostraron un alto riesgo de sesgo, derivado principalmente de la selección de pacientes. Conclusiones Se observó una alta probabilidad de sesgo en los artículos publicados. La radiómica es un campo aún en desarrollo y son necesarios más estudios para demostrar su utilidad en la práctica clínica habitual. La herramienta QUADAS-2 permite la valoración crítica de la calidad metodológica de la evidencia disponible. Pese a las limitaciones, la radiómica se muestra como una herramienta que puede ayudar a conseguir un manejo oncológico personalizado en el cáncer de mama (AU)
Aim To synthesize the current evidence of the usefulness of radiomics in PET/CT image analysis in local and locally advanced breast cancer. Also, to evaluate the methodological quality of the radiomic studies published. Methods Systematic review of articles in different databases until 2021 using the terms «PET», «radiomics», «texture», «breast». Only articles with human data and that included a PET image were included. Studies with simulated data and with less than 20 patients were excluded. The sample size, radiotracer used, imaging technique, and radiomics characteristics were extracted from each article. The methodological quality of the studies was determined using the QUADAS-2 tool. Results Eighteen articles were selected. The retrospective design was the most used. The most studied radiomic characteristic was SUVmax. Several radiomic parameters were correlated with tumor characterization, and tumor heterogeneity proved useful for predicting disease course and response to treatment. Most articles showed a high risk of bias, mainly from the patient selection. Conclusions A high probability of bias was observed in most of the published articles. Radiomics is a developing field and more studies are needed to demonstrate its usefulness in routine clinical practice. The QUADAS-2 tool allows critical assessment of the methodological quality of the available evidence. Despite its limitations, radiomics is shown to be an instrument that can help to achieve personalized oncologic management of breast cancer (AU)
Subject(s)
Humans , Female , Positron Emission Tomography Computed Tomography/methods , Breast Neoplasms/diagnostic imaging , Image Processing, Computer-Assisted , Reproducibility of Results , Fluorodeoxyglucose F18ABSTRACT
AIM: To synthesize the current evidence of the usefulness of radiomics in PET/CT image analysis in local and locally advanced breast cancer. Also, to evaluate the methodological quality of the radiomic studies published. METHODS: Systematic review of articles in different databases until 2021 using the terms "PET", "radiomics", "texture", "breast". Only articles with human data and that included a PET image were included. Studies with simulated data and with less than 20 patients were excluded. Were extracted sample size, radiotracer used, imaging technique, and radiomics characteristics from each article. The methodological quality of the studies was determined using the QUADAS-2 tool. RESULTS: 18 articles were selected. The retrospective design was the most used. The most studied radiomic characteristic was SUVmax. Several radiomic parameters were correlated with tumor characterization, and tumor heterogeneity proved useful for predicting disease course and response to treatment. Most articles showed a high risk of bias, mainly from the patient selection. CONCLUSIONS: A high probability of bias was observed in most of the published articles. Radiomics is a developing field and more studies are needed to demonstrate its usefulness in routine clinical practice. The QUADAS-2 tool allows critical assessment of the methodological quality of the available evidence. Despite its limitations, radiomics is shown to be an instrument that can help to achieve personalized oncologic management of breast cancer.
