Results 101 to 110 of about 2,926,291 (344)
Aging and Cancer, EarlyView.This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
Clinical presentation of brain metastases from endometrial carcinoma: A case series
Gynecologic Oncology Reports, 2019 Brain metastases from endometrial carcinoma are rare, however they do occur, and they are associated with an especially poor prognosis. There is evidence demonstrating improved outcomes with early diagnosis and subsequent multimodal treatment. This study
Marisa R. Moroney +2 more
doaj +1 more source
Scientific Reports, 2023 Current guidelines recommend that cytotoxic chemotherapy be considered first in non-small cell lung cancer (NSCLC) patients with multiple metastases, and whole-brain radiotherapy (WBRT) is not initially recommended even if brain metastases are present ...
Woo Kyung Ryu +6 more
doaj +1 more source
PET-CT vs brain MRI for the detection of cerebral metastases of melanoma, a 5-year retrospective study. [PDF]
BACKGROUND Melanoma patients present a high risk of developing extra cutaneous metastases. PET-CT is one of the preferred examinations for the staging of oncological patients.
Benzaquen, Michael Joseph +3 more
core +1 more source
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
This data package contains the information needed to replicate the research titled - 'Predicting local control of brain metastases after stereotactic radiotherapy with clinical, radiomics and deep learning ...
Kanakarajan, Hemalatha +3 more
core +1 more source
, 2017 In the past, detection of brain metastases signaled the conclusion of aggressive systemic treatment and shifted the focus of care toward palliation. The median survival for patients with single brain metastasis without brain-directed treatment is about a
David Schiff, Jasmin Jo
core +1 more source
Advanced Functional Materials, EarlyView.An intrinsic photoactive star‐shaped zinc phtalocyanine‐poly(L‐glutamic acid) (ZnPc‐PGA) nanoplatform for multimodal glioblastoma (GBM) therapy and brain‐targeted elivery. A ZnPc‐PGA‐based multifunctional theranostic nanocarrier platform enables image‐guided, multimodal GBM therapy. ZnPc‐PGA nanocarriers support the integration of fluorescence imaging,
Amina Benaicha‐Fernández +14 more
wiley +1 more source
Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multisequence MRI [PDF]
Journal of Magnetic Resonance Imaging, 2019 Detecting and segmenting brain metastases is a tedious and time‐consuming task for many radiologists, particularly with the growing use of multisequence 3D imaging.
E. Grøvik +5 more
semanticscholar +1 more source
This data package contains the information needed to replicate the research titled - 'Automated segmentation of brain metastases in T1-weighted contrast- enhanced MR images pre and post stereotactic radiosurgery'
Kanakarajan, Hemalatha +3 more
core +1 more source