Results 71 to 80 of about 427,187 (246)

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan, Michael Abele, Calogero Virgone, Michaela Kuhlen, Ricardo Lopez‐Almarez, Tal Ben‐Ami, Ewa Bien, Maja Cesen, Malgorzata A. Krawczyk, Andrea Ferrari, Gianni Bisogno, Yves Reguerre, Dominik T. Schneider, Louise Galmiche, Jorg Fuchs, Sarah Braungart, Bilgehan Yalcin, Ines B. Brecht, Daniel Orbach   +18 more
wiley   +1 more source

Immunoglobulin Depletion and Recovery Following Blinatumomab in Infants With KMT2A‐Rearranged ALL

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Adding blinatumomab to standard chemotherapy for infants with KMT2A‐rearranged acute B‐cell lymphoblastic leukemia (KMT2A‐r B‐ALL) improves outcomes. Although blinatumomab impairs immunoglobulin G (lgG) production, increasing infection susceptibility, IgG recovery remains poorly understood.
Miguel Vieira Martins, Paola de Lorenzo, Rishi S. Kotecha, Andishe Attarbaschi, Gabriele Escherich, Karsten Nysom, Jan Stary, Alina Ferster, Benoit Brethon, Franco Locatelli, Martin Schrappe, Peggy E. Scholte‐van Houtem, Maria G. Valsecchi, Rob Pieters, Inge M. van der Sluis   +14 more
wiley   +1 more source

A deep learning framework for automated dental segmentation and diagnostic report generation from cone-beam computed tomography

Head & Face Medicine
Background To develop a deep learning-based model that is capable of automatically segmenting teeth in cone-beam computed tomography (CBCT) images and generating auxiliary diagnostic reports.
Wenbo Zhou, Dan Zhao, Bingyang Zhao, Miyi Shen, Xin Liu   +4 more
doaj   +1 more source

Bridging the Gap in Neuroblastoma Care: Consensus‐Based Statements With Recommendations for Improved Patient and Caregiver Experiences

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma's complex, heterogeneous biology poses significant diagnostic and therapeutic challenges, often requiring caregivers to absorb complex information and participate in time‐sensitive decisions. However, caregivers often feel unprepared to evaluate options.
Vickie Buenger, Joseph Bauer, Jennifer Diamond, Maggie Fader, Shae Hansen, Jacqueline M. Kraveka, Johanna Schoen, Amber Shearer, Dena Sherwood   +8 more
wiley   +1 more source

Radiomics-Based Machine Learning in Differentiation Between Glioblastoma and Metastatic Brain Tumors

Frontiers in Oncology, 2019
Purpose: To investigative the diagnostic performance of radiomics-based machine learning in differentiating glioblastomas (GBM) from metastatic brain tumors (MBTs).Method: The current study involved 134 patients diagnosed and treated in our institution ...
Chaoyue Chen, Chaoyue Chen, Chaoyue Chen, Xuejin Ou, Xuejin Ou, Xuejin Ou, Jian Wang, Wen Guo, Wen Guo, Wen Guo, Wen Guo, Xuelei Ma, Xuelei Ma   +12 more
doaj   +1 more source

Identification of potential immune-related hub genes in Parkinson's disease based on machine learning and development and validation of a diagnostic classification model. [PDF]

PLoS One, 2023
Xin G, Niu J, Tian Q, Fu Y, Chen L, Yi T, Tian K, Sun X, Wang N, Wang J, Zhang H, Wang L.   +11 more
europepmc   +1 more source

Impact of Metastatic Patterns on Survival and Response to Therapy in Neuroblastoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background While the presence of metastases in neuroblastoma (NB) is a well‐established prognostic factor, the clinical significance of dissemination patterns and tumour burden and their impact on response and survival remains poorly understood.
Mariona Morell‐Daniel, Santiago Pérez‐Hoyos, Aroa Soriano, Ana Coma, Amalia Varo, Raquel Hladun, Gabriela Guillén, Soraya Mico, Marta Garrido, Lourdes Rubio, Alba Rubio‐San‐Simón, Ana Minguez, Ricardo López‐Almaraz, Laura Illade, Miguel F. Segura, Lucas Moreno   +15 more
wiley   +1 more source

Predicting pathological subtypes of pure ground-glass nodules using Swin Transformer deep learning model

Insights into Imaging
Objectives To explore the diagnostic value of a multi-classification model based on deep learning in distinguishing the pathological subtypes of lung adenocarcinoma or glandular prodromal lesions with pure ground-glass nodules (pGGN) on CT. Materials and
Yanhua Wen, Menna Allah Mahmoud, Wensheng Wu, Huicong Chen, Yingying Zhang, Xiaohuan Pan, Yubao Guan   +6 more
doaj   +1 more source

Research on the application value of blood plasma autofluorescence spectroscopy model constructed by machine learning algorithms in identifying the types of post-operative kidney transplantation injury

Photodiagnosis and Photodynamic Therapy
s: Background: This study aimed to assess the value of blood plasma autofluorescence spectroscopy in classifying renal injury after renal transplantation.
Lijuan Wu, Tangyuheng Liu, Wenjing Zhou, Wu Peng, Jianhua Zhu   +4 more
doaj   +1 more source

A diagnostic classification model of college instructors' value beliefs towards open educational resources. [PDF]

Educ Inf Technol (Dordr), 2023
Tang H, Bao Y.
europepmc   +1 more source