Publications by authors named "Maria G Mendoza"

Introduction: Current consensus guidelines for definitive cervical cancer intensity modulated radiation therapy (IMRT) recommend inclusion of the entire uterus within the clinical target volume, however this is debated. We aimed to evaluate outcomes of patients with cervical cancer who were treated with less than whole uterus irradiation.

Methods: We identified 109 patients with FIGO Stage IB-IVA cervical cancer treated definitively with concurrent chemoradiation, including IMRT and brachytherapy, from 2010 to 2022 at a single institution where the practice was to include the gross cervix tumor with an internal target volume with differences in bladder filing accounted for, plus additional 5 mm planning target volume (PTV) margin.

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Article Synopsis
  • The study investigates the impact of substantial lymphovascular space invasion (LVSI) and abnormal p53 expression (p53abnl) on outcomes for patients with early-stage endometrial cancer who have undergone lymph node assessment.
  • It analyzes data from 126 patients, focusing on local, regional, and distant metastasis rates, as well as overall survival (OS), using statistical methods like Kaplan-Meier.
  • The findings indicate that patients with either p53abnl or LVSI had significantly poorer outcomes, suggesting that these patients could benefit from more aggressive treatment with external beam radiation therapy (EBRT).
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Objectives: Emerging data suggests that abnormal (nuclear) β-catenin expression in some settings is associated with poorer outcomes. Our study aimed to verify the significance of abnormal β-catenin expression in early-stage endometrial cancer patients and determine if adjuvant radiation therapy (RT) improves local control.

Methods: We identified 213 patients with FIGO 2018 stage I-II endometrioid endometrial cancer who underwent surgery from 2009 to 2021 with β-catenin expression assessed.

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Purpose: Artificial intelligence-based tools can be leveraged to improve detection and segmentation of brain metastases for stereotactic radiosurgery (SRS). VBrain by Vysioneer Inc. is a deep learning algorithm with recent FDA clearance to assist in brain tumor contouring.

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Purpose: In patients with newly diagnosed glioblastoma (GBM), tumor margins of at least 20 mm are the standard of care. We sought to determine the pattern of tumor progression in patients treated with 5-fraction stereotactic radiosurgery with 5-mm margins.

Methods And Materials: Thirty adult patients with newly diagnosed GBM were treated with 5-fraction stereotactic radiosurgery in escalated doses from 25 to 40 Gy with a 5-mm total treatment margin.

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Background: Primary plasma cell leukemia (pPCL) is uncommon, aggressive and has a different biology than multiple myeloma (MM).

Aim: To report the features of patients with pPCL.

Material And Methods: Review of databases of the Hematology Department and the Hematology laboratory.

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This research describes the application of portable field Raman spectroscopy combined with a statistical analysis of the resulting spectra, employing principal component analysis (PCA) and linear discriminant analysis (LDA), in which we determine that this method provides a high degree of reliability in the early detection of Huanglongbing (HLB) on Sweet Orange, disease caused by the bacteria Candidatus Liberibacter asiaticus. Symptomatic and asymptomatic plant samples of Sweet Orange (Citrus sinensis), Persian Lime (C. latifolia), and Mexican Lime (C.

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