Publications by authors named "Pritish Y Aher"

Rationale And Objectives: To investigate the effect of ComBat harmonization on the stability of myocardial radiomic features derived from multi-energy CT reconstructions.

Materials And Methods: A retrospective study was conducted on 205 patients who underwent dual-energy chest CTA at a single center. The data was reconstructed into multiple spectral reconstructions (mixed energy simulating standard 120 Kv acquisition and monoenergetic images ranging from 40 to 190 keV in increments of 10).

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Article Synopsis
  • The study examines how ComBat harmonization methods affect the stability of cardiac MRI-derived radiomic features when imaging parameters change.
  • It involves a retrospective analysis of data from 11 healthy subjects and 5 patients, using various MRI sequences to assess radiomic feature stability.
  • Results show that applying ComBat harmonization significantly enhances the stability of these features, with parametric ComBat achieving 95.1% stability compared to only 51.4% without any harmonization.
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Rationale And Objectives: Cardiac magnetic resonance imaging is crucial for diagnosing cardiovascular diseases, but lengthy postprocessing and manual segmentation can lead to observer bias. Deep learning (DL) has been proposed for automated cardiac segmentation; however, its effectiveness is limited by the slice range selection from base to apex.

Materials And Methods: In this study, we integrated an automated slice range classification step to identify basal to apical short-axis slices before DL-based segmentation.

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Aim: To explore the diagnostic performance of F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) to detect the primary tumor site in patients with extracervical metastases from carcinoma of unknown primary (CUP). We evaluated patient outcomes as overall survival (OS).

Materials And Methods: In a single-center, retrospective study (2005-2019), patients with extracervical metastases from CUP underwent FDG PET/CT to detect primary tumor sites.

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