Publications by authors named "J Favela"

Article Synopsis
  • Well-differentiated liposarcoma in the paratesticular region is rare, often mistaken for common issues like inguinal hernia, and lacks standardized diagnostic and treatment protocols.* -
  • A case study involved a 65-year-old man diagnosed with liposarcoma after surgery for what was thought to be a recurrent hernia; he chose to wait for treatment rather than undergo immediate surgery.* -
  • Clinicians should be vigilant about this uncommon cancer, particularly in cases of suspected early hernia recurrence, as appropriate treatment typically involves surgery and potentially radiation.*
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Purpose: Our objectives were to compare overall survival (OS) and pulmonary relapse between patients with metastatic Ewing sarcoma (EWS) at diagnosis who achieve rapid complete response (RCR) and those with residual pulmonary nodules after induction chemotherapy (non-RCR).

Patients And Methods: This retrospective cohort study included children under 20 years with metastatic EWS treated from 2007 to 2020 at 19 institutions in the Pediatric Surgical Oncology Research Collaborative. Chi-square tests were conducted for differences among groups.

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Most abdominopelvic structures can find their way to a groin hernia. However, location, and relative fixation are important for migration. Gastric outlet obstruction (GOO) from a stomach-containing groin hernia (SCOGH) is exceedingly rare.

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Article Synopsis
  • The study aimed to compare the effectiveness of ultrasound surveillance versus completion lymph node dissection in young patients with positive sentinel lymph node melanoma.
  • Data from 252 pediatric melanoma patients showed that the majority had sentinel lymph node biopsies, and recurrence rates were similar between those monitored with ultrasound and those who had surgery.
  • Findings indicate that while pediatric melanoma often involves nodal metastases, the type of follow-up (ultrasound vs. surgery) does not significantly impact recurrence or mortality rates.
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The world's coastlines are spatially highly variable, coupled-human-natural systems that comprise a nested hierarchy of component landforms, ecosystems, and human interventions, each interacting over a range of space and time scales. Understanding and predicting coastline dynamics necessitates frequent observation from imaging sensors on remote sensing platforms. Machine Learning models that carry out supervised (i.

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