PubMed Health⌕ Search

PubMed · 14722004

Thoracoscopic lobectomy using robotic technology.

Abstract

BACKGROUND: While robotic technology is gaining popularity in cardiac surgery, it also is being used to facilitate thoracoscopic procedures, such as insertion of phrenic pacemakers and resection of mediastinal masses. This report describes the use of robotic technology in performing thoracoscopic lobectomy. METHODS: One patient underwent a left lower lobectomy with the da Vinci robotic surgical system (Intuitive Surgical, Mountain View, CA, USA). With 3 1-cm port incisions and a 4-cm minithoracotomy in the left chest, visualization of the pertinent anatomy was excellent. Standard lymph node dissection was performed. The specimen was removed through the 4-cm minithoracotomy incision. RESULTS: Pathologic examination revealed mucinous adenocarcinoma. The margins of the specimen were negative, and there was no vascular or bronchial invasion. The patient's postoperative course was uneventful, and he was discharged to home on postoperative day 5. CONCLUSION: Robotic technology enhances visualization and instrument dexterity during thoracoscopic intrathoracic procedures. This technology can be used to facilitate development of minimally invasive thoracic approaches.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Jeffrey A Morgan, Mark E Ginsburg, Joshua R Sonett, Michael Argenziano. 2003. Thoracoscopic lobectomy using robotic technology.. https://pubmed.ncbi.nlm.nih.gov/14722004/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

BRAF mutation, CpG island methylator phenotype and microsatellite instability occur more frequently and concordantly in mucinous than non-mucinous colorectal cancer.

Mucinous colorectal cancer (CRC) has been reported to have distinct clinicopathological and genetic characteristics. However, the incidence and the relationship among microsatellite instability (MSI), CpG island methylator phenotype (CIMP) and BRAF and KRAS mutations in mucinous and non-mucinous CRC are not known. Activating mutations of BRAF and KRAS and their relationship with MSI and CIMP were examined in 83 sporadic CRC specimens (26 mucinous and 57 non-mucinous CRC). MSI, CIMP, BRAF and KRAS mutation were observed in 17, 24, 25 and 36% of the tumors, respectively. BRAF mutation was highly correlated with MSI (p < 0.001) and CIMP (p < 0.001). A higher incidence of MSI (27% vs. 12%), CIMP (38% vs. 18%, p < 0.05) and BRAF mutation (46% vs. 16%, p < 0.01) was observed in mucinous CRC. KRAS mutation (27% vs. 40%) was observed more frequently in non-mucinous CRC. Significantly higher percentages of mucinous CRC (54%, p < 0.05) had MSI or CIMP or BRAF mutations. Concordant occurrence of 2 or more of these alterations was observed in 39% of mucinous CRC and only 11% of non-mucinous CRC (p < 0.01). The more frequent occurrence and closer association among MSI, CIMP and BRAF mutation in mucinous CRC observed in our study further supports the idea that its pathogenesis may involve distinct genetic and epigenetic changes.

Adenocarcinoma, Mucinous↗

Serum biomarkers for detection of breast cancers: A prospective study.

Using surface-enhanced laser desorption/ionization-time of flight (SELDI-TOF), Li et al. [Clin Chem 48(8): 1296-1304, 2002] identified 3 serum biomarkers, BC1 (4.3 kDa), BC2 (8.1 kDa) and BC3 (8.9 kDa), whose combination significantly detects breast cancer patients from non-cancer controls. This work aimed to validate these biomarkers in an independent prospective study. We screened 89 serum samples including 49 breast cancers at pT1-4N0M0 (n = 23), pT1-4N1-3M0 (n = 17) or pT1-4N0-3M1 (n = 9) stages, 13 benign breast diseases and 27 healthy women. The BC2 biomarker significance was not recovered. However, we found 2 peaks that we named BC1a (4286 Da) and BC1b (4302 Da), that could correspond to Li's BC1 since they significantly decrease in breast cancers (p < 0.00007 and p < 0.0002, respectively). Similarly, BC3a (8919 Da) and BC3b (8961 Da) are significantly increased in breast cancers (p < 0.02 and p < 0.0002, respectively) and could correspond to the Li's BC3. For each biomarker we defined stringent (no errors) and flexible (less than 10% errors) cut-off values and tested the power of the combined BC1a/BC1b/BC3a/BC3b stringent and flexible profiles to discriminate breast cancers. They identified 33% and 45% cancers, respectively. Applied to the same series, Ca 15.3 test identified 22% patients. Interestingly, in association with the BC1a/BC1b/BC3a/BC3b profiles, Ca 15.3 improved the number of detected cancers indicating that it is an independent parameter. Collectively, our data partially validate those of Li's study and confirm that the BC1 and BC3 biomarkers are helpful for breast cancer diagnosis.

Adenocarcinoma, Mucinous↗