Results 271 to 280 of about 656,371 (370)

Novel CT radiomics models for the postoperative prediction of early recurrence of resectable pancreatic adenocarcinoma: A single‐center retrospective study in China

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du   +7 more
wiley   +1 more source

Quantitation of Minimal Residual Disease in Acute Myeloid Leukemia by Tryptase Monitoring Identifies a Group of Patients with a High Risk of Relapse [PDF]

open access: bronze, 2005
Wolfgang R. Sperr   +6 more
openalex   +1 more source

Implementation of needle‐tracking technology for real‐time transrectal ultrasound‐guided interstitial gynecological HDR brachytherapy: A feasibility study

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To investigate the feasibility of adapting a commercial prostate biopsy system for transrectal ultrasound (TRUS)‐guided hybrid gynecological (GYN) high‐dose‐rate (HDR) brachytherapy (BT). Leveraging 3D‐TRUS and MR image fusion, the prototype system aims to improve real‐time needle placement accuracy.
Lindsey H. Bloom   +8 more
wiley   +1 more source

Minimal residual disease (MRD) monitoring using rearrangement of T‐cell receptor and immunoglobulin H gene in the treatment of adult acute lymphoblastic leukemia patients [PDF]

open access: bronze, 2005
Tomomi Toubai   +13 more
openalex   +1 more source

Unsupervised non‐small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity‐based discriminator

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang   +2 more
wiley   +1 more source

Minimal residual disease in leukaemia and lymphoma

open access: yesAnnals of Oncology, 1990
Bryan D. Young   +3 more
openaire   +3 more sources

Mitochondrial DNA disorders in neuromuscular diseases in diverse populations

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
Abstract Neuromuscular features are common in mitochondrial DNA (mtDNA) disorders. The genetic architecture of mtDNA disorders in diverse populations is poorly understood. We analysed mtDNA variants from whole‐exome sequencing data in neuromuscular patients from South Africa, Brazil, India, Turkey and Zambia. In 998 individuals, there were two definite
Fei Gao   +34 more
wiley   +1 more source

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