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DOI 10.1016/j.athoracsur.2016.05.079

Медицинская библиотека · The Annals of thoracic surgery · 2016

Classification of Pectus Excavatum According to Objective Parameters From Chest Computed Tomography.

Choi Jin-Ho, Park In Kyu, Kim Young Tae, Kim Woo Sun, Kang Chang Hyun

СтатьяПеревод в очереди

Аннотация

BACKGROUND

Previous classification systems of pectus excavatum have been based on subjective morphologic characteristics. We sought to suggest a new classification system derived from objective variables.

METHODS

Patients who underwent surgical repair of pectus excavatum without a history of previous chest operations were included. Objective morphologic variables were measured from chest computed tomography scan images, and classification was performed by hierarchical clustering of measured indexes. Clinical relevance of the suggested classification was also verified.

RESULTS

Included were 230 patients who underwent operation for pectus excavatum from January 2001 to August 2013. These patients were classified into two major groups: typical (group I; 197 [85.7%]) and atypical (group II; 33 [14.3%]). Group I was further classified into three subgroups according to flatness and symmetry of the chest wall. Group II was further classified into four subgroups according to the severity of sternal torsion and sternal angulation. Two unique types of deformity were identified in group II: the double distortion subgroup (group IIa; 8 [3.5%]) and the reverse torsion subgroup (group IIc; 16 [7.0%]). Scoliosis was more frequently associated with group IIa (p = 0.008).

CONCLUSIONS

Morphologic classification obtained from computed tomography indexes hierarchical clustering identified seven distinct subtypes of pectus excavatum.

Для цитирования: Choi Jin-Ho, Park In Kyu, Kim Young Tae, Kim Woo Sun, Kang Chang Hyun. Classification of Pectus Excavatum According to Objective Parameters From Chest Computed Tomography.. The Annals of thoracic surgery. 2016. DOI: 10.1016/j.athoracsur.2016.05.079.

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Обработка статьи · этапы, ошибки и управление
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