Results 141 to 150 of about 160,978 (345)
Abstract Objective This study assessed the prevalence and factors associated with detecting cervical intraepithelial neoplasia grade 2 or higher (CIN2+) via endocervical curettage (ECC) during colposcopy. Methods Between December 2020 and September 2023, a prospective, cross‐sectional study involving women with abnormal cervical cancer screening ...
Nida Jareemit +8 more
wiley +1 more source
Tratamiento del dolor en el paciente oncológico
El dolor oncológico no controlado es uno de los síntomas que afectan de forma negativa la salud física y psicológica de los pacientes con diagnóstico de cáncer. Sin dudas, representa una situación especialmente dramática.
Yoselyn Lázara Díaz Juvier +4 more
doaj
Abstract Objectives To evaluate the impact of large‐loop excision of the transformation zone (LLETZ) on cervical dimensions, to identify influencing factors on cervical regeneration and to verify the concordance between ultrasonographic techniques for assessing cervical volume.
Flávia Zero Soares +4 more
wiley +1 more source
Spinal cord tumors are a rare neoplasm of the central nervous system (CNS). The occurrence of metastases is related to poor prognosis. The authors analyzed one series of metastasis cases and their associated mortality.
Ricardo de Amoreira Gepp +3 more
doaj
Our study compared three commercial lysing solutions used in spectral FC immunophenotyping. We found that Excellyse I demonstrated the best overall performance, with greater cell preservation, clearer population resolution, and lower variability in scatter and fluorescence.
Elizabeth Huamanyalli‐Villar +4 more
wiley +1 more source
Neoplasias pancreáticas: avances
C. Chan, O. Santes
doaj +1 more source
Comorbilidades en el lupus eritematoso cutáneo: estudio de una serie de casos [PDF]
El lupus eritematoso cutáneo (LEC) es una patología crónica y autoinmune que se caracteriza por presentar lesiones a nivel de la piel y mucosas.
Zhan Chen, Donna
core
Deep Learning‐Based Skin Lesion Classification
High‐frequency ultrasound (HFUS) is valuable for assessing skin lesions, supporting diagnosis, treatment monitoring, and surgical planning. This study evaluates deep learning models for binary classification of HFUS images acquired in B‐mode and Doppler mode.
Isabela Rocha Veiga da Silva +5 more
wiley +1 more source

