Literature DB >> 27467869

CT-guided fine-needle aspiration of abdominal and retroperitoneal small lesions with the coaxial technique using MPR images.

Massimo De Filippo1, Luca Saba, Emanuele Azzali, Gianluca Milanese, Maurizio Mostardi, Daniele Borgia, Raffaella Capasso, Rita Nizzoli.   

Abstract

PURPOSE: To demonstrate the advantages of CT-guided fine-needle aspiration (FNA) of abdominal and retroperitoneal small lesions with the coaxial technique using MPR images.
MATERIALS AND METHODS: The study included retrospectively 50 patients who underwent CT-guided FNA of abdominal and/or retroperitoneal small lesion (<30 mm). Patients with suspected lymphomas or sarcomas were excluded. Cytology reports were the reference standard.
RESULTS: The cytology was diagnostic in 48/50 biopsies (96%): out of 41 neoplastic lesions (85%), 37 were malignant (90.2%) and 4 were benign (9.8%); 7 out of 48 were non-neoplastic (14.6%). No procedural complications were observed (0%).
CONCLUSION: By using MPR images there is an effective improvement in coaxial CT-guided FNA of abdominal and retroperitoneal small lesions.

Entities:  

Keywords:  CT-guided fine needle aspiration; MPR images; coaxial technique

Mesh:

Year:  2016        PMID: 27467869

Source DB:  PubMed          Journal:  Acta Biomed        ISSN: 0392-4203


  2 in total

1.  Extra-pleuric coaxial system for CT-guided percutaneous fine-needle aspiration biopsy (FNAB) of small (≤20 mm) lung nodules: a novel technique using multiplanar reconstruction (MPR) images.

Authors:  Raffaella Capasso; Rita Nizzoli; Marcello Tiseo; Giuseppe Pedrazzi; Luca Brunese; Antonio Rotondo; Massimo De Filippo
Journal:  Med Oncol       Date:  2016-12-29       Impact factor: 3.064

2.  Extremely Late Recurrence of Ovarian Carcinoma Diagnosed by an Endoscopic Ultrasound-guided Fine-needle Biopsy.

Authors:  Mitsuru Chiba; Takashi Goto; Wataru Sato; Tomomi Shibuya; Kenichi Takahashi; Shinichiro Minami; Hisanori Matsuzawa; Yuki Sato; Katsunori Iijima
Journal:  Intern Med       Date:  2020-09-12       Impact factor: 1.271

  2 in total

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