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PET/CT based cross-modal deep learning signature to predict occult nodal metastasis in lung cancer
Occult nodal metastasis (ONM) plays a significant role in comprehensive treatments of non-
small cell lung cancer (NSCLC). This study aims to develop a deep learning signature …
small cell lung cancer (NSCLC). This study aims to develop a deep learning signature …
TMTV-Net: fully automated total metabolic tumor volume segmentation in lymphoma PET/CT images—a multi-center generalizability analysis
Purpose Total metabolic tumor volume (TMTV) segmentation has significant value enabling
quantitative imaging biomarkers for lymphoma management. In this work, we tackle the …
quantitative imaging biomarkers for lymphoma management. In this work, we tackle the …
[HTML][HTML] Recent Breakthroughs in PET-CT Multimodality Imaging: Innovations and Clinical Impact
This review presents a detailed examination of the most recent advancements in positron
emission tomography–computed tomography (PET-CT) multimodal imaging over the past …
emission tomography–computed tomography (PET-CT) multimodal imaging over the past …
PET/CT in leukemia: utility and future directions
A Al-Ibraheem, S Allouzi, AS Abdlkadir… - Nuclear Medicine …, 2024 - journals.lww.com
Deoxy-2-[18 F] fluoro-d-glucose PET/computed tomography ([18 F] FDG PET/CT) has
proven to be a sensitive method for the detection and evaluation of hematologic …
proven to be a sensitive method for the detection and evaluation of hematologic …
A hybrid few-shot multiple-instance learning model predicting the aggressiveness of lymphoma in PET/CT images
C Xu, J Feng, Y Yue, W Cheng, D He, S Qi… - Computer Methods and …, 2024 - Elsevier
Background and objective Patients with aggressive non-Hodgkin lymphoma (NHL) undergo
distinct therapy strategies compared with indolent NHL patients. However, it is challenging …
distinct therapy strategies compared with indolent NHL patients. However, it is challenging …
Clinical evaluation of deep learning for tumor delineation on 18F-FDG PET/CT of head and neck cancer
DG Kovacs, CN Ladefoged… - Journal of Nuclear …, 2024 - jnm.snmjournals.org
Artificial intelligence (AI) may decrease 18F-FDG PET/CT–based gross tumor volume (GTV)
delineation variability and automate tumor-volume–derived image biomarker extraction …
delineation variability and automate tumor-volume–derived image biomarker extraction …
Smaller biceps femoris aponeurosis size in legs with a history of hamstring strain injury
TG Balshaw, EJ McDermott, GJ Massey… - … Journal of Sports …, 2024 - thieme-connect.com
Biceps femoris long head (BF LH) aponeurosis size was compared between legs with and
without prior hamstring strain injury (HSI) using two approaches: within-group (injured vs …
without prior hamstring strain injury (HSI) using two approaches: within-group (injured vs …
2-deoxy-2-[18F] FDG PET Imaging for Therapy Assessment in Hodgkin's and Non-Hodgkin Lymphomas
N Withofs, C Bonnet, R Hustinx - PET clinics, 2024 - pet.theclinics.com
The estimated new cases of Hodgkin lymphoma (HL) and non-Hodgkin lymphoma (NHL) in
the United States in 2022 are 8540 and 80,470, respectively, and the estimated deaths are …
the United States in 2022 are 8540 and 80,470, respectively, and the estimated deaths are …
[HTML][HTML] Recent Updates of PET in Lymphoma: FDG and Beyond
SY Kim, HW Chung, Y So, MH Lee, EJ Lee - Biomedicines, 2024 - mdpi.com
Lymphoma is one of the most common cancers worldwide, categorized into Hodgkin
lymphoma and non-Hodgkin lymphoma. 18F-fluorodeoxyglucose positron emission …
lymphoma and non-Hodgkin lymphoma. 18F-fluorodeoxyglucose positron emission …
Artificial intelligence in fracture detection on radiographs: a literature review
A Lo Mastro, E Grassi, D Berritto, A Russo… - Japanese Journal of …, 2024 - Springer
Fractures are one of the most common reasons of admission to emergency department
affecting individuals of all ages and regions worldwide that can be misdiagnosed during …
affecting individuals of all ages and regions worldwide that can be misdiagnosed during …