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This study aimed to investigate the prognostic value of the Naples Prognostic Score (NPS) in patients with locally advanced cervical cancer (LACC) who received curative concurrent chemoradiotherapy (CCRT). Clinicopathological data from 213 (training set) and 106 (validation set) LACC cases undergoing CCRT were retrospectively analyzed. The receiver operating characteristic curve (ROC) was used to compare the predictive ability of NPS and other indicators for survival. Cox proportional hazard regression was conducted for overall survival (OS) and progression-free survival (PFS). A prediction model using a nomogram was developed with independent prognostic factors in the training set and validated in the validation set. The 5-year OS for the NPS = 1, 2, and 3 groups was 56.8%, 45.4%, and 28.9% (P < 0.001), and the 5-year PFS for the NPS = 1, 2, and 3 groups was 44.9%, 36.7%, and 28.4% (P = 0.001), respectively. NPS showed better predictive ability for OS and PFS compared to other indicators. Multivariate regression analysis identified NPS as an independent prognostic factor for OS (P < 0.001) and PFS (P < 0.001). A predictive nomogram based on NPS was established and validated. The C-indices of the nomogram in the training set were 0.722 for OS and 0.683 for PFS, while in the validation set the C-indices were 0.731 for OS and 0.693 for PFS. This study confirmed that preoperative NPS could serve as a useful independent prognostic factor in LACC patients treated with CCRT.
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http://dx.doi.org/10.17305/bb.2024.10989 | DOI Listing |
AJNR Am J Neuroradiol
September 2025
From the Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America (J.S.S., B.M., S.H., A.H., J.S.), and Department of Aerospace Engineering, Indian Institute of Technology Madras, Chennai, Tamil Nadu, India (H.S.).
Background And Purpose: The choroid of the eye is a rare site for metastatic tumor spread, and as small lesions on the periphery of brain MRI studies, these choroidal metastases are often missed. To improve their detection, we aimed to use artificial intelligence to distinguish between brain MRI scans containing normal orbits and choroidal metastases.
Materials And Methods: We present a novel hierarchical deep learning framework for sequential cropping and classification on brain MRI images to detect choroidal metastases.
BMJ
September 2025
Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
Objective: To determine the effect of a prepregnancy lifestyle intervention on glucose tolerance in people at higher risk of gestational diabetes mellitus.
Design: Single centre randomised controlled trial (BEFORE THE BEGINNING).
Setting: University hospital in Trondheim, Norway.
Aerosp Med Hum Perform
September 2025
Introduction: Military fast jet pilots face significant physical challenges, including high Gz accelerations during dynamic maneuvers. The objectives of this study were threefold: 1) to record pilot movements during real flights, 2) to quantify head and trunk movements under standardized Gz conditions and during basic fighter maneuvers (BFMs), and 3) to categorize compensatory strategies used to mitigate physical strain.
Methods: A total of 20 Eurofighter pilots (mean age: 28.
Int J Sports Physiol Perform
September 2025
Department of Physical Education and Sport Sciences, National Taiwan Normal University, Taipei, Taiwan.
Purpose: This study explored the acute physiological effects of different eccentric tempos, explosive speed (EXP), volitional speed, and 4-second tempo during 5 sets of velocity-based squat training.
Methods: Twelve healthy males performed parallel squats under 3 eccentric conditions using a randomized crossover design. Each session included 5 sets at a relative load, initiated with a concentric mean velocity of 0.
J R Soc Interface
September 2025
Institute of Intelligent Systems and Robotics, Sorbonne Université, Paris, Île-de-France, France.
A number of techniques have been developed to measure the three-dimensional trajectories of protists, which require special experimental set-ups, such as a pair of orthogonal cameras. On the other hand, machine learning techniques have been used to estimate the vertical position of spherical particles from the defocus pattern, but they require the acquisition of a labelled dataset with finely spaced vertical positions. Here, we describe a simple way to make a dataset of images labelled with vertical position from a single 5 min movie, based on a tilted slide set-up.
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