A Novel Method of Intraoperative Calculation in Follicular Unit Transplantation: 'The Sequential Strip and FUE Method'

Hair loss, in particular androgenetic alopecia, has troubled humans since the dawn of history. Treatment options for hair restoration have undergone massive transformation from punch grafting to follicular unit transplantation. Current surgical treatment options in hair restoration fall broadly under two categories, follicular unit transplantation most commonly known as strip method and follicular unit extraction (FUE). The strip method though widely used initially is not so common now due to its fair share of disadvantages ranging from linear donor scar, scar widening to strip overharvesting and wastage of grafts. Follicular unit excision (FUE) was introduced as an alternative method for extraction of grafts to combat the donor linear scar produced by strip method but the disadvantages of FUE include the number of grafts harvested in a single session, moth eaten appearance of donor area caused by over extraction of grafts and harvesting from outside the safe zone. Newer developments like extraction of axillary hair, body hair and pubic hair have been sought to overcome the limitations of number of grafts harvested in a single session of FUE. With more patients now affected by alopecia in their early 20s, there is an ever-increasing demand from the patients for the youthful hairline and hence the focus has shifted towards mega and giga sessions of hair transplantation which pose danger of over extraction of grafts leading to depletion of available donor sites. This article elaborates the combined sequential strip and FUE method along with an intraoperative calculation model to overcome the limitations of over extraction and wastage of grafts. (1) Combination of techniques Strip method with FUE. (2) An intraoperative calculation model that aids in limiting over extraction and wastage of grafts. (3) It is a real time model which can be applied in practice with ease.Level of Evidence IV This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors .