T staging esophageal tumors with x rays.
T PartridgeP WolfsonJ JiangLorenzo MassimiA AstolfoN DjurabekovaS SavvidisC J Maughan JonesC K HagenE MillardW ShorrockR M WalthamI G HaigD BateK M A HoH Mc BainA WilsonA HoganH DelaneyA LiyadipitaA P LevineK DawasB MohammadiY A QureshiM D ChouhanS A TaylorM MughalPeter R T MunroMarco EndrizziM NovelliL B LovatAlessandro OlivoPublished in: Optica (2024)
With histopathology results typically taking several days, the ability to stage tumors during interventions could provide a step change in various cancer interventions. X-ray technology has advanced significantly in recent years with the introduction of phase-based imaging methods. These have been adapted for use in standard labs rather than specialized facilities such as synchrotrons, and approaches that enable fast 3D scans with conventional x-ray sources have been developed. This opens the possibility to produce 3D images with enhanced soft tissue contrast at a level of detail comparable to histopathology, in times sufficiently short to be compatible with use during surgical interventions. In this paper we discuss the application of one such approach to human esophagi obtained from esophagectomy interventions. We demonstrate that the image quality is sufficiently high to enable tumor T staging based on the x-ray datasets alone. Alongside detection of involved margins with potentially life-saving implications, staging tumors intra-operatively has the potential to change patient pathways, facilitating optimization of therapeutic interventions during the procedure itself. Besides a prospective intra-operative use, the availability of high-quality 3D images of entire esophageal tumors can support histopathological characterization, from enabling "right slice first time" approaches to understanding the histopathology in the full 3D context of the surrounding tumor environment.
Keyphrases
- physical activity
- high resolution
- dual energy
- image quality
- lymph node
- deep learning
- computed tomography
- pet ct
- soft tissue
- endothelial cells
- convolutional neural network
- magnetic resonance
- palliative care
- squamous cell carcinoma
- magnetic resonance imaging
- optical coherence tomography
- papillary thyroid
- case report
- risk assessment
- robot assisted
- young adults
- lymph node metastasis
- human health
- real time pcr