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ORIGINAL ARTICLE
Year : 2013  |  Volume : 7  |  Issue : 2  |  Page : 39-41

Standard liver volume estimation in Indian population: Need for an accurate formula


1 Senior Resident, Dept of Gastrointestinal Surgery & Liver Transplantation, Research & Referral Army Hospital, New Delhi 110010, India
2 Professor and Head of Department, Dept of Gastrointestinal Surgery & Liver Transplantation, Research & Referral Army Hospital, New Delhi 110010, India
3 Consultant, Dept of Gastrointestinal Surgery & Liver Transplantation, Research & Referral Army Hospital, New Delhi 110010, India

Correspondence Address:
Kapileshwer Vijay
Senior Resident, Dept of Gastrointestinal Surgery & Liver Transplantation, Research & Referral Army Hospital, New Delhi 110010
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.1016/j.ijt.2013.03.004

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Background: Liver transplantation is the most durable treatment option for ESLD. Due to acute shortage of cadaveric organs Living donor liver transplantation has gained momentum especially in Asian countries. Size of the liver graft or the remnant liver is often expressed as a percentage of the standard liver volume (SLV) of the patient. Various formulas for SLV have been derived but only Chandramohan formula is derived for Indian population. Our aim was to carry out a study to validate the Indian formula based on the actual liver volumes (ALV) that we got from the cadaveric donor livers. Material and methods: This prospective study included 33-brain dead cadaveric donor of either sex. Body surface area was calculated by Mosteller's formula. Graft weight was measured after the bench surgery. Standard liver volume was calculated by formula derived by Chandramohan et al and compared with actual liver weight. Result: Chandramohan formula underestimates actual liver weight in Indian population. With our data we derived a formula for standard liver volume for Indian population. Conclusion: No accurate formula of SLV for Indian population. We attempted to derive a formula for SLV for Indian population. However our data is very limited needs larger cohort for proper estimation.


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