Application of ⁹⁹mTc-SPECT-CT and carbon nanoparticles suspension injection in sentinel lymph node mapping for rectal cancer.
- Author:
Ya-Nan WANG
1
;
Gui-Ping LI
;
Wei GONG
;
Yong-Jian DENG
;
Xiao-Hua CHI
;
Xin-Hua ZHOU
;
Jiang YU
;
Ce ZHANG
;
Yan-Feng HU
;
Xia CHENG
;
Guo-Xin LI
Author Information
- Publication Type:Journal Article
- MeSH: Adult; Aged; Carbon; Female; Humans; Male; Middle Aged; Nanostructures; Rectal Neoplasms; diagnosis; diagnostic imaging; pathology; Sentinel Lymph Node Biopsy; methods; Tomography, Emission-Computed, Single-Photon; methods; Tomography, X-Ray Computed; methods
- From: Chinese Journal of Gastrointestinal Surgery 2011;14(5):352-355
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo evaluate the accuracy of sentinel lymph node mapping(SLM) in patients with rectal cancer by single-photon emission computed tomography (SPECT-CT) lymphoscintigraphy and carbon nanoparticles suspension injection.
METHODSTwelve patients with clinical T(1-2)N(0)M(0) rectal cancer were selected and locally injected with technetium-(99m)sulfur-colloid and carbon nanoparticles suspension by endoscope one day before surgery, followed by SPECT-CT scanning 1, 3 and 5 hours later. Radioactive isotope(RI) uptake of each sentinel node(SN) basin with location preoperatively determined by SPECT-CT was postoperatively calculated using gamma probe. Nodes with the highest RI uptake, the number of which was also pre-determined by SPECT-CT, was defined as SNs. Immunohistochemical cytokeratin staining was performed for all the SNs and non-SNs.
RESULTSThe rate of sentinel node detection was 91.7%(11/12) with at least one SN(1-3) per patient. Ten cases showed metastasis-negative in SNs as well as all the resected regional nodes by immunohistochemical cytokeratin staining. Only one patient had positive nodes in both SN and non-SNs. The accuracy of SLM was 100%.
CONCLUSIONSPECT-CT lymphoscintigraphy and carbon nanoparticles suspension injection can effectively detect the anatomic location and number of sentinel nodes, and improve the accuracy of SLM for rectal cancer.
