AIMC Topic: Rhabdomyosarcoma
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Rhabdomyosarcoma Classification: Refining Our Understanding.
Surgical pathology clinics
Dec 10, 2024
Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma in children, representing approximately 40% of all pediatric soft tissue sarcomas and 3% of all pediatric cancers. RMSs are a heterogeneous group of neoplasms with variations in morphology...
Being diagnosed with a rhabdomyosarcoma in the era of artificial intelligence: Whom can we trust?
Pediatric blood & cancer
Aug 11, 2024
In the era of big data, young patients may be overwhelmed by artificial intelligence-based tools, like chatbots. Five clinical experts were asked to evaluate the performance of the most currently used chatbots in providing information on a rare cance...
Toward Deploying a Deep Learning Model for Diagnosis of Rhabdomyosarcoma.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Feb 8, 2024
Robotic retroperitoneal lymph node dissection for paratesticular rhabdomyosarcoma in adolescents: a case series.
Journal of robotic surgery
Nov 16, 2023
Robotic assisted (RA) retroperitoneal lymph node dissection (RPLND) has grown in popularity as it offers decreased morbidity and faster recovery compared to the open technique. Proponents of open surgery raised concerns about the oncological fidelity...
Deep Learning of Rhabdomyosarcoma Pathology Images for Classification and Survival Outcome Prediction.
The American journal of pathology
Apr 4, 2022
Rhabdomyosarcoma (RMS), the most common malignant soft tissue tumor in children, has several histologic subtypes that influence treatment and predict patient outcomes. Assistance with histologic classification for pathologists as well as discovery of...
Robot-Assisted Laparoscopic Management of Bladder/Prostate Rhabdomyosarcoma in Children: Initial Series and 1-Year Outcomes.
Journal of endourology
Sep 17, 2021
To present our preliminary experiences of robot-assisted laparoscopic radical or partial cystectomy for bladder/prostate rhabdomyosarcoma (B/P RMS) in children. A retrospective study was conducted with children who underwent robot-assisted laparosc...
Deep learning enabled prediction of 5-year survival in pediatric genitourinary rhabdomyosarcoma.
Surgical oncology
Nov 20, 2020
BACKGROUND: Genitourinary rhabdomyosarcoma (GU-RMS) is a rare, pediatric malignancy originating from embryonic mesenchyme. Current approaches to prognostication rely upon conventional statistical methods such as Cox proportional hazards (CPH) models ...
Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcoma.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
May 5, 2017
This paper presents a deep-learning-based CADx for the differential diagnosis of embryonal (ERMS) and alveolar (ARMS) subtypes of rhabdomysarcoma (RMS) solely by analyzing multiparametric MR images. We formulated an automated pipeline that creates a ...
Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group.
Clinical cancer research : an official journal of the American Association for Cancer Research
Jan 17, 2023
PURPOSE: Rhabdomyosarcoma (RMS) is an aggressive soft-tissue sarcoma, which primarily occurs in children and young adults. We previously reported specific genomic alterations in RMS, which strongly correlated with survival; however, predicting these ...
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