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1.
Aesthetic Plast Surg ; 48(15): 2941-2950, 2024 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-38519571

RESUMEN

BACKGROUND: Conchal cartilage is generally favored in rhinoplasty with a satisfied aesthetic outcome. However, patients may suffer from postoperative donor auricle deformities. OBJECTIVES: This study introduced a novel conchal cartilage harvesting technique which can minimize the deformity of auricle and harvest the sufficient amounts of grafts. METHODS: This study proposed preservation of the concha cymba and cavum support structures to minimize the deformity of auricle and harvest of cartilage hidden in the craniofacial region to obtain the sufficient amounts. The medical records of 60 patients who underwent the novel conchal cartilage harvesting were reviewed retrospectively. Postoperative aesthetic outcomes were assessed by comparing pre- and postoperative photographs according to the deformation extent of auricular subunits (cymba concha, cavum concha, antihelix, helix crus and intertragal notch) on a four-point Likert scale. Additionally, function and complications were analyzed. RESULTS: 56 patients performed unilateral conchal cartilage harvesting (8 with right-side and 48 with left-side) and 4 performed bilateral harvesting. The average aesthetic score, rated on a four-point Likert scale (1 = significant deformation, 2 = moderated deformation, 3 = slight deformation, 4 = complete no deformation), were 3.83 ± 0.03 points, respectively. The functional scores, rated on a four-point Likert scale (1 = significant damage, 2 = moderated damage, 3 = slight damage, 4 = complete no damage), was 3.94±0.03. Complications included hematoma, delayed wound healing and hypopigmentated scar in six ears (9.4%). CONCLUSIONS: This novel technique can minimize the deformity of auricle, as shown by the outcome scores, and allows for sufficient amount of grafting material acquired. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .


Asunto(s)
Cartílago Auricular , Estética , Rinoplastia , Recolección de Tejidos y Órganos , Humanos , Femenino , Masculino , Adulto , Estudios Retrospectivos , Rinoplastia/métodos , Recolección de Tejidos y Órganos/métodos , Cartílago Auricular/trasplante , Cartílago Auricular/cirugía , Adulto Joven , Resultado del Tratamiento , Persona de Mediana Edad , Estudios de Cohortes , Pabellón Auricular/cirugía , Medición de Riesgo , Satisfacción del Paciente/estadística & datos numéricos
2.
Cancer Imaging ; 23(1): 103, 2023 Oct 26.
Artículo en Inglés | MEDLINE | ID: mdl-37885031

RESUMEN

OBJECTIVES: This study aims to develop a model based on intratumoral and peritumoral radiomics from fat-suppressed T2-weighted(FS-T2WI) images to predict the histopathological grade of soft tissue sarcoma (STS). METHODS: This retrospective study included 160 patients with STS from two centers, of which 82 were low-grade and 78were high-grade. Radiomics features were extracted and selected from the region of tumor mass volume (TMV) and peritumoral tumor volume (PTV) respectively. The TMV, PTV, and combined(TM-PTV) radiomics models were established in the training cohort (n = 111)for the prediction of histopathological grade. Finally, a radiomics nomogram was constructed by combining the TM-PTV radiomics signature (Rad-score) and the selected clinical-MRI predictor. The ROC and calibration curves were used to determine the performance of the TMV, PTV, and TM-PTV models in the training and validation cohort (n = 49). The decision curve analysis (DCA) and calibration curves were used to investigate the clinical usefulness and calibration of the nomogram, respectively. RESULTS: The TMV model, PTV model, and TM-PTV model had AUCs of 0.835, 0.879, and 0.917 in the training cohort and 0.811, 0.756, 0.896 in the validation cohort. The nomogram, including the TM-PTV signatures and peritumoral hyperintensity, achieved good calibration and discrimination with a C-index of 0.948 (95% CI, 0.906 to 0.990) in the training cohort and 0.921 (95% CI, 0.840 to 0.995) in the validation cohort. Decision curve analysis demonstrated the clinical usefulness of the nomogram. CONCLUSION: The proposed model based on intratumoral and peritumoral radiomics showed good performance in distinguishing low-grade from high-grade STSs.


Asunto(s)
Sarcoma , Neoplasias de los Tejidos Blandos , Humanos , Estudios Retrospectivos , Imagen por Resonancia Magnética/métodos , Nomogramas , Sarcoma/diagnóstico por imagen , Neoplasias de los Tejidos Blandos/diagnóstico por imagen
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