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DOI 10.1002/rcs.2307

Медицинская библиотека · The international journal of medical robotics + computer assisted surgery : MRCAS · 2021

Efficacy of da Vinci robot-assisted lymph node surgery than conventional axillary lymph node dissection in breast cancer - A comparative study.

Chen Kuo, M Beeraka Narasimha, Zhang Jin, Reshetov Igor V, Nikolenko Vladimir N, Sinelnikov Mikhail Y, Mikhaleva Liudmila M

СтатьяПеревод пока не подготовлен

Аннотация

BACKGROUND

da Vinci robot-assisted axillary lymph node dissection (dVALND) can be a minimally invasive technique to minimize post-operative complications.

OBJECTIVE

To explore the clinical efficacy of dVALND in breast cancer (BC) patients for mitigating the postoperative complications than conventional ALND.

METHODS

Total 60 female patients with BC were admitted to our hospitals since September 2018, and these patients segregated into two groups of 30 patients each. Modified radical mastectomy for BC was performed to the patients in both groups. In Group 1 (control group), ALND was performed using conventional mode of axillary lymph node surgery. In Group 2 (Test group), the dVALND was performed using da Vinci robot-assisted surgery. Wound healing, aesthetic effect and patient's satisfaction were evaluated after conventional method and dVALND.

RESULTS

Postoperative complications viz., wound infection (1/30 (3.33%), p < 0.05), fat necrosis (3/30 (10%), p < 0.05) and lymphedema of upper limbs (2/30 (6.67%), p < 0.05) were observed in dVALND than conventional surgery. Local recurrence or metastasis was minimized and overall aesthetic effect not observed during follow-up.

CONCLUSION

dVALND improved the overall patient's quality of life by mitigating postoperative complications than ALND.

Для цитирования: Chen Kuo, M Beeraka Narasimha, Zhang Jin, Reshetov Igor V, Nikolenko Vladimir N, Sinelnikov Mikhail Y, Mikhaleva Liudmila M. Efficacy of da Vinci robot-assisted lymph node surgery than conventional axillary lymph node dissection in breast cancer - A comparative study.. The international journal of medical robotics + computer assisted surgery : MRCAS. 2021. DOI: 10.1002/rcs.2307.

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