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Carcinoma of unknown primary with hepatic metastases: a need of judicious and contemplative diagnostic algorithm.

Vikram Sai ShivajiJoseph Charles WilsonNoemi L SchmidtOrpheus KolokythasNeeraj Lalwani
Published in: Abdominal radiology (New York) (2020)
Carcinoma of Unknown Primary presenting primarily as hepatic metastases encompasses a dismal subgroup of tumors with a median survival of 5.9 months. Adenocarcinoma is the most common histological subtype identified upon biopsy and the primary tumor remains undetectable in the majority of cases despite extensive workup. It is important to have a validated and standardized algorithm to follow these tumors to avoid unnecessary tests, as the wishes and health status of the patient represent the principal concerns. The purpose of this paper is to briefly review the current literature on carcinoma of unknown primary with hepatic metastases and propose a standardized diagnostic approach.
Keyphrases
  • machine learning
  • squamous cell carcinoma
  • systematic review
  • case report
  • deep learning
  • clinical trial
  • ultrasound guided
  • locally advanced
  • phase iii