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Emerging Applications of Advanced DWI Techniques in Rectal Carcinoma Management

EasyChair Preprint no. 14164

15 pagesDate: July 25, 2024

Abstract

Rectal carcinoma is a significant public health concern, with a significant impact on patient morbidity and mortality. The management of rectal carcinoma involves a multidisciplinary approach, including surgical resection, neoadjuvant chemoradiotherapy, and targeted therapies. Accurate staging and response assessment are crucial for guiding treatment decisions and improving patient outcomes.
Conventional imaging techniques, such as endoscopic ultrasound, computed tomography (CT), and magnetic resonance imaging (MRI), have been widely used for the assessment of rectal carcinoma. However, these techniques have limitations in accurately detecting and characterizing the tumor, evaluating lymph node involvement, and monitoring treatment response.
In recent years, the application of advanced imaging techniques, particularly diffusion-weighted imaging (DWI), has emerged as a promising approach in the management of rectal carcinoma. DWI is a functional MRI technique that provides information about the microstructural and physiological properties of tissues, including tumor cellularity and microstructure.
The integration of DWI into the assessment and management of rectal carcinoma has the potential to enhance tumor detection, improve staging accuracy, predict and monitor treatment response, and identify prognostic and predictive biomarkers. This introduction outlines the role of DWI in the emerging applications for rectal carcinoma management, highlighting the advantages of this advanced imaging technique over conventional approaches.

Keyphrases: citations, Engineering, Technology

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:14164,
  author = {Joseph Bayo Shalom},
  title = {Emerging Applications of Advanced DWI Techniques in Rectal Carcinoma Management},
  howpublished = {EasyChair Preprint no. 14164},

  year = {EasyChair, 2024}}
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