Ariyürek O Macit, Karabulut Nevzat, Yelgeç N Selçuk, Gülsün Meltem
Department of Radiology, Hacettepe University Hospital, 06100 Sihhiye, Ankara, Turkey.
Eur Radiol. 2002 Jan;12(1):175-80. doi: 10.1007/s003300100907. Epub 2001 May 31.
The aims of this study were to investigate the anatomy of the minor fissure and its variations on high-resolution CT (HRCT) sections and to propose a detailed classification. The prospective study included 67 patients who were referred to CT for various indications. High-resolution CT examinations (1.5-mm collimation) were obtained through the region of the minor fissure. The CT scans were assessed for the presence, completeness, and configuration of the minor fissure. Various configurations of the minor fissure were classified into four major types, based on whether the highest portion of the middle lobe upper surface was medial (type I), lateral (type II), posterior (type III), or central (type IV). Minor fissure was identified in 65 (97%) of 67 patients, and absent in 2 (3%) cases. The fissure was incomplete in 35 (54%) of 65 patients. Type-I minor fissure is seen in 28 (43%) patients, type II in 22 (34%), type III in 5 (8%), and type IV in 2 (3%) patients. Because the majority of the fissure was absent in 8 (12%) of 35 patients with incomplete fissure, they were considered indeterminate. Comprehensive knowledge of the various configurations of the minor fissure is helpful in correct localization of a lesion and its extension. In equivocal cases, limited thin-section CT scans through the fissure delineate the anatomy more clearly and provide greater degree of precision in localizing pulmonary lesions.
本研究的目的是在高分辨率CT（HRCT）图像上研究小裂的解剖结构及其变异，并提出详细的分类。这项前瞻性研究纳入了67例因各种指征接受CT检查的患者。通过小裂区域进行高分辨率CT检查（准直1.5毫米）。对CT扫描结果进行评估，以确定小裂的存在、完整性和形态。根据中叶上表面最高部分位于内侧（I型）、外侧（II型）、后方（III型）还是中央（IV型），将小裂的各种形态分为四大类型。67例患者中，65例（97%）发现有小裂，2例（3%）未发现。65例中有35例（54%）小裂不完整。28例（43%）患者为I型小裂，22例（34%）为II型，5例（8%）为III型，2例（3%）为IV型。35例小裂不完整的患者中有8例（12%）大部分小裂缺失，这些病例被视为不确定型。全面了解小裂的各种形态有助于准确确定病变的位置及其范围。在诊断不明确的病例中，通过小裂的有限薄层CT扫描能更清晰地显示解剖结构，在定位肺部病变时提供更高的精度。
