Literature DB >> 20033607

Preoperative workflow for lymph nodes staging.

Debora Botturi1, Francesca Pizzorni Ferrarese, Giulia Angela Zamboni, Davide Zerbato.   

Abstract

PURPOSE: Accurate staging of lymph nodes relies mainly on surgical exploration and manual palpation. We present a new non-invasive diagnostic approach: simulated palpation through virtual laparoscopic instruments.
METHODS: We set up a diagnostic process to extract lymph nodes shape and position from CTs and to analyze the trend of pixels intensities to determine tissue properties in order to feedback the force information.
RESULTS: We have integrated the model, obtained from both the morphological information and stiffness values, in our laparoscopy simulator and surgeons can virtually palpate, with a haptic device, the lymph nodes. We evaluated the workflow extracting lymph nodes from a case study: the feedback provided through the simulator greatly helps the surgeon in the correct staging.
CONCLUSIONS: Results show the feasibility of the approach and in the future we will clinically evaluate this new diagnostic methodology. We are studying the possibility to integrate CTs with other imaging systems to increase the accuracy.

Mesh:

Year:  2008        PMID: 20033607     DOI: 10.1007/s11548-008-0272-z

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  11 in total

1.  Lymph node segmentation from CT images using fast marching method.

Authors:  Jiayong Yan; Tian-ge Zhuang; Binsheng Zhao; Lawrence H Schwartz
Journal:  Comput Med Imaging Graph       Date:  2004 Jan-Mar       Impact factor: 4.790

2.  Massive cervical and abdominal lymphadenopathy caused by localized amyloidosis.

Authors:  Monika Nadja Vogel; Manfred Wehrmann; Marius Stephan Horger
Journal:  J Clin Oncol       Date:  2007-01-20       Impact factor: 44.544

3.  Segmentation of neck lymph nodes in CT datasets with stable 3D mass-spring models.

Authors:  Jana Dornheim; Heiko Seim; Bernhard Preim; Ilka Hertel; Gero Strauss
Journal:  Med Image Comput Comput Assist Interv       Date:  2006

4.  Automated extraction of lymph nodes from 3-D abdominal CT images using 3-D minimum directional difference filter.

Authors:  Takayuki Kitasaka; Yukihiro Tsujimura; Yoshihiko Nakamura; Kensaku Mori; Yasuhito Suenaga; Masaaki Ito; Shigeru Nawano
Journal:  Med Image Comput Comput Assist Interv       Date:  2007

5.  CT evaluation of paraaortic lymph node metastasis in patients with biliary cancer.

Authors:  Takehiro Noji; Satoshi Kondo; Satoshi Hirano; Eiichi Tanaka; Yoshiyasu Ambo; Yo Kawarada; Toshiaki Morikawa
Journal:  J Gastroenterol       Date:  2005-07       Impact factor: 7.527

6.  Candidates for curative resection in advanced gastric cancer patients who had equivocal para-aortic lymph node metastasis on computed tomographic scan.

Authors:  Jun Ho Lee; Yong Hae Paik; Jong Seok Lee; Ho Joon Song; Keun Won Ryu; Chan Gyoo Kim; Sook Ryeon Park; Myoung Cheorl Kook; Young Woo Kim; Jae-Moon Bae
Journal:  Ann Surg Oncol       Date:  2006-09-03       Impact factor: 5.344

Review 7.  Sonography of neck lymph nodes. Part II: abnormal lymph nodes.

Authors:  A Ahuja; M Ying
Journal:  Clin Radiol       Date:  2003-05       Impact factor: 2.350

8.  Atlas-based delineation of lymph node levels in head and neck computed tomography images.

Authors:  Olivier Commowick; Vincent Grégoire; Grégoire Malandain
Journal:  Radiother Oncol       Date:  2008-02-14       Impact factor: 6.280

Review 9.  The optimal imaging of adrenal tumours: a comparison of different methods.

Authors:  Ioannis Ilias; Anju Sahdev; Rodney H Reznek; Ashley B Grossman; Karel Pacak
Journal:  Endocr Relat Cancer       Date:  2007-09       Impact factor: 5.678

10.  Sensitive, noninvasive detection of lymph node metastases.

Authors:  Mukesh G Harisinghani; Ralph Weissleder
Journal:  PLoS Med       Date:  2004-12-28       Impact factor: 11.069

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