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  • Title: Right upper lobe segmentectomy guided by simplified anatomic models.
    Author: Nakazawa S, Shimizu K, Kawatani N, Obayashi K, Ohtaki Y, Nagashima T, Eguchi T, Yajima T, Shirabe K.
    Journal: JTCVS Tech; 2020 Dec; 4():288-297. PubMed ID: 34318050.
    Abstract:
    BACKGROUND: To standardize the technical strategy for right upper lobe (RUL) segmentectomy, we previously developed simplified 3-dimensional (3D) anatomic models that classify the RUL anatomy into 14 patterns according to the branching pattern of bronchi and veins. We aimed to study the surgical outcome of RUL segmentectomy guided by these simplified anatomic models. METHODS: Patients were classified into the anatomic models, and the approach to the intersegmental veins was selected accordingly. The intersegmental vein and corresponding intersegmental plane were as follows: V1b (the apicoanterior plane), V2a (the apicoposterior plane), and V2c (the posteroanterior plane). Clinicopathologic characteristics and short- and long-term outcomes were analyzed retrospectively. RESULTS: Thirty-four consecutive patients who underwent thoracoscopic RUL segmentectomy guided by simplified anatomic models between January 2016 and December 2019 at Gunma University were analyzed. All the patients were classified into a model: anterior + central Iab type (47%), anterior + central Ib type (41%), anterior II type (12%), or central III type (0%). The standard approaches to intersegmental veins were an anterior approach for V1b, a posterobronchial approach for V2a, and an interlobar approach for V2c. The approach to intersegmental or intrasegmental veins was modified according to the anatomic model in 4 cases (12%). The median operative time, blood loss, and hospital stay were 222 minutes, 19 grams, and 7 days, respectively. Prolonged air leakage was observed in 1 patient. CONCLUSIONS: Segmentectomy guided by simplified anatomic models promotes anatomic classification, development of a standardized approach for segmental vein identification, and acceptable outcomes, which can facilitate the implementation of RUL segmentectomy.
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