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Resection of rectal cancer resembling submucosal tumor that was preoperatively diagnosed with endoscopic ultrasound-guided biopsy

Overview of attention for article published in Surgical Case Reports, July 2017
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Title
Resection of rectal cancer resembling submucosal tumor that was preoperatively diagnosed with endoscopic ultrasound-guided biopsy
Published in
Surgical Case Reports, July 2017
DOI 10.1186/s40792-017-0362-7
Pubmed ID
Authors

Akimitsu Tanio, Hiroaki Saito, Keigo Ashida, Shouichi Urushibara, Manabu Yamamoto, Naruo Tokuyasu, Teruhisa Sakamoto, Soichiro Honjo, Yoshihiko Maeta, Yoshiyuki Fujiwara

Abstract

Colorectal cancer (CRC) resembling submucosal tumor (SMT; CRC/SMT) is very rare. Because its biopsy is challenging, accurate preoperative diagnosis is also very rare. A 55-year-old woman with a high serum carcinoembryonic antigen level underwent a computed tomography colonoscopy, which showed extrinsic rectum compression. A coronal magnetic resonance image showed a 4-cm low-intensity tumor between her rectum and sacrum. Endoscopic ultrasound (EUS) showed a 30-mm low-echoic lesion originating from the rectum. Pathological examination of specimen obtained with EUS-guided fine-needle aspiration biopsy (EUS-FNAB) revealed adenocarcinoma. Immunohistochemical staining showed the tumor to be positive for both CK20 and CDX2 and negative for CK7, indicating that it was a rectal cancer. We performed a laparoscopy-assisted low-anterior resection with dissection of the regional lymph nodes after eight chemotherapy cycles. Macroscopically, tumor was completely covered by normal rectal mucosa, but showed a 2-mm bulge on the mucosa. Histological examination revealed a moderately differentiated adenocarcinoma, mainly located at the subserosal layer and severely invaded to lymphatic and blood vessels. The mucosal layer was not exposed to the cancer components, and her postoperative course was uneventful. EUS-FNAB was useful in preoperative accurate diagnosis of this very rare tumor. We also review the literature and discuss CRC/SMT.

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Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 23%
Student > Ph. D. Student 3 23%
Researcher 2 15%
Other 1 8%
Professor > Associate Professor 1 8%
Other 1 8%
Unknown 2 15%
Readers by discipline Count As %
Medicine and Dentistry 7 54%
Agricultural and Biological Sciences 1 8%
Nursing and Health Professions 1 8%
Computer Science 1 8%
Chemistry 1 8%
Other 0 0%
Unknown 2 15%