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3 - Diagnostic algorithm

Published online by Cambridge University Press:  05 April 2015

Aileen Wee
Affiliation:
National University of Singapore
Pichet Sampatanukul
Affiliation:
Chulalongkorn University, Thailand
Nirag Jhala
Affiliation:
University of Pennsylvania
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Summary

INTRODUCTION

An integrative approach to the evaluation of any cytohistology sample is feasible under ideal circumstances, such as in a hospital environment. More often than not, pathologists attached to central laboratories or small practices work in virtual isolation with a dearth of clinical information. Their diagnostic acumen, experience, and conviction are frequently put to the test. An unbiased morphologic assessment is the best initial approach regardless of situation.

INTEGRATIVE APPROACH

The diagnostic algorithm consists of five steps.

Step 1: Evaluate clinical information

Important data for assigning patients into common clinical settings include age, gender, race, occupation, country/area of abode, clinical history, physical findings, liver function profile, viral serology tests, and tumor markers. Family and social history, lifestyle, and medication/drug information are also relevant.

There are several prototypical clinical settings:

  1. (i) Asymptomatic patients with incidental lesions detected on routine health screening: Abnormal liver function tests may be the first indication of liver pathology, prompting further investigations. Most incidentally detected lesions are small with low to no apparent suspicion of malignancy. Occasionally, a more sinister condition, including metastases, may be detected. If the non-aggressive nature of the lesion can be established clinically and radiologically, then there is no real indication for biopsy.

  2. (ii) High-risk patients with advanced chronic liver disease on regular ultrasound surveillance and serum α-fetoprotein estimation: Ultrasound surveillance of patients with cirrhosis due to hepatitis B and C is performed on a 6-monthly to yearly basis for early detection of hepatocellular carcinoma (HCC) in some parts of the world. Advances in imaging modalities have led to increasing numbers of progressively smaller nodules being detected. Such small hepatocellular nodules (≤2cm in size) do not generally portray any characteristic imaging features. Serum α-fetoprotein (AFP) is not a reliable marker for screening or surveillance purposes as the sensitivity is around 40%; hence, the need for newer and better serum biomarkers. The dilemma then is to decide whether to subject the patient to biopsy or to imaging follow-up.

  3. […]

Type
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Publisher: Cambridge University Press
Print publication year: 2000

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  • Diagnostic algorithm
  • Aileen Wee, National University of Singapore, Pichet Sampatanukul, Chulalongkorn University, Thailand, Nirag Jhala, University of Pennsylvania
  • Book: Cytohistology of Focal Liver Lesions
  • Online publication: 05 April 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781316167359.004
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  • Diagnostic algorithm
  • Aileen Wee, National University of Singapore, Pichet Sampatanukul, Chulalongkorn University, Thailand, Nirag Jhala, University of Pennsylvania
  • Book: Cytohistology of Focal Liver Lesions
  • Online publication: 05 April 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781316167359.004
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Diagnostic algorithm
  • Aileen Wee, National University of Singapore, Pichet Sampatanukul, Chulalongkorn University, Thailand, Nirag Jhala, University of Pennsylvania
  • Book: Cytohistology of Focal Liver Lesions
  • Online publication: 05 April 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781316167359.004
Available formats
×