Relatively small size linitis plastica of the stomach: Multislice CT detection of tissue fibrosis

Hideo Matsui, Hirofumi Anno, Ichiro Uyama, Atsushi Sugioka, Masahiro Ochiai, Kazuhiro Katada, Akitake Hasumi

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


Background: Linitis plastica (scirrhous gastric carcinoma) has a poor prognosis due to delay in diagnosis. Pathological feature of this tumor is diffuse fibrosis of the gastric wall. Detection of small fibrotic lesion in the gastric wall would contribute to early diagnosis of linitis plastica, since the primary lesion usually lacks remarkable protrusion or ulceration. Methods: We performed a multislice CT evaluation of 20 patients with gastric carcinoma with 8 data acquisition system (Aquilion, Toshiba Medical Systems Corporation, Japan). Results: Out of 20 primary lesions, 3 were diagnosed as relatively small size (less than 10 cm in maximum diameter) linitis plastica. We have successfully demonstrated an en face virtual endoscopic image of the primary ulcers of linitis plastica by arterial-phase, and reactive fibrosis (a desmoplastic response) of the gastric wall by delayed-phase multiplanar reformation (MPR) images perpendicular to the en face image. This preoperative information was useful to evaluate extent of tumor invasion. Conclusions: The multislice CT evaluation of linitis plastica using delayed-phase images was potentially useful in the detection of relatively small fibrotic lesion and in determining the optimal mode of resection of the stomach.

Original languageEnglish
Pages (from-to)694-697
Number of pages4
JournalAbdominal Imaging
Issue number6
Publication statusPublished - 01-11-2007

All Science Journal Classification (ASJC) codes

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Gastroenterology
  • Urology


Dive into the research topics of 'Relatively small size linitis plastica of the stomach: Multislice CT detection of tissue fibrosis'. Together they form a unique fingerprint.

Cite this