Current status of robot-assisted minimally invasive esophagectomy: what is the real benefit?

Robot-assisted laparoscopic hepatectomy for liver metastasis from clitoral malignant melanoma: a case report

INTRODUCTION

Malignant melanomas occur most commonly in the skin, mucous membranes, or choroid. Clitoral malignant melanomas are extremely rare. Stage IV malignant melanomas have a poor prognosis, and molecularly targeted agents or immune checkpoint inhibitors are recommended. However, surgical resection is reportedly a valid option for improving the prognosis of patients with oligometastases, defined as a small number of metastases that can be completely resected. In this report, we describe hepatic resection for a recurrent liver metastasis in a patient who had undergone removal of a clitoral malignant melanoma 9 years previously.

CASE PRESENTATION

An 82 year-old woman presented with a black nodule on her clitoris. Total resection of the nodule resulted in a diagnosis of clitoral malignant melanoma (pT4bN0M0, pStage IIC; UICC 8th edition). A follow-up computed tomography scan 4 years later revealed a single 5 mm mass in the lower lobe of the right lung, prompting partial resection of the right lung. Pathological examination of the operative specimen revealed a pulmonary metastasis of malignant melanoma. The patient was treated with pembrolizumab monotherapy as adjuvant chemotherapy for 1 year. A follow-up computed tomography scan 9 years after surgical removal of the primary lesion revealed an 18 mm mass in segment II of the liver, prompting robot-assisted laparoscopic left lateral sectionectomy. The provisional diagnosis of metastatic malignant melanoma in the liver was confirmed by histopathological examination of the operative specimen. The patient was treated with pembrolizumab monotherapy as postoperative adjuvant chemotherapy for 1 year. No further recurrence was detected at the 1.5 year follow-up.

CONCLUSION

We performed hepatectomy for oligometastasis of clitoral malignant melanoma, an extremely rare entity. Surgery has the potential to prolong the prognosis of patients with oligometastasis.

Fully robotic side-to-side stapled anastomosis provides less anastomotic leakage than conventional minimally invasive approach in Ivor Lewis esophagectomy

INTRODUCTION

This study evaluates surgical outcomes of minimally invasive Ivor Lewis esophagectomy (ILE) for esophageal and esophagogastric cancer, with the comparison of the robotic approach (RA) and the conventional minimally invasive approach (CA).

METHODS

Selected patients who underwent minimally invasive ILE for esophageal cancer were included between January 2017 and December 2023. We retrospectively investigated the patients' background characteristics and the short-term surgical outcomes.

RESULTS

In this period, among a total of 840 esophagectomies, 81 patients (9.6%) underwent minimally invasive ILE, consisting of 24 cases with RA and 57 with CA. The major indications for ILE were adenocarcinoma of the distal esophagus or esophagogastric junction and patients with prior head and neck cancer treatment. Among these thoracic approaches, there were no significant differences in the patients' indications and characteristics, including age, histology, tumor location, clinical TNM stage, and preoperative therapy. Compared with the CA group, no anastomotic leakage was observed in the RA group (17.5% vs. 0, p = .035). Rates of total postoperative complications and length of hospital stay also tended to be reduced in the RA group but did not reach significance.

CONCLUSION

In the Ivor Lewis esophagectomy with a side-to-side linear-stapled anastomosis, the fully robotic approach has the potential to powerfully reduce anastomotic leakage compared to the conventional minimally invasive approach.

Robotic versus open Ivor–Lewis esophagectomy: A more accurate lymph node dissection without burdening the leak rate

BACKGROUND

Robotic-assisted minimally invasive esophagectomy (RAMIE) combines the beneficial effects of minimally invasive surgery on postoperative complications, especially on pulmonary ones, with the safety of the anastomosis performed in open surgery. Moreover, RAMIE could allow a more accurate lymphadenectomy.

METHODS

We reviewed our database to identify all patients with adenocarcinoma of the esophagus treated by Ivor-Lewis esophagectomy in the period January 2014 to June 2022. Patients were divided according to the thoracic approach into RAMIE and open esophagectomy (OE) groups. We compared the groups for early surgical outcomes, 90-day mortality as well as R0 rate, and the number of lymph nodes harvested.

RESULTS

We identified 47 patients in RAMIE and 159 patients in the OE group. Baseline characteristics were comparable. Operative time was significantly longer for RAMIE procedures (p < 0.01); however, we did not observe the difference in overall (RAMIE 55.5% vs. OE 61%, p = 0.76) and severe complications rate (RAMIE 17% vs. OE 22.6%, p = 0.4). The anastomotic leak rate was 2.1% after RAMIE and 6.9% after OE (p = 0.56). We did not report the difference in 90-day mortality (RAMIE 2.1% vs. OE 1.9%, p = 0.65). In the RAMIE group, we observed a significantly higher number of thoracic lymph nodes harvested, with a median of 10 lymph nodes in the RAMIE group versus 8 in the OE group (p < 0.01).

CONCLUSIONS

In our experience, RAMIE has morbimortality rates comparable to OE. Moreover, it allows a more accurate thoracic lymphadenectomy which results in a higher thoracic lymph nodes retrieval rate.

Robotic parenchymal-sparing pancreatectomy and pancreas-sparing duodenectomy avoid pancreaticoduodenectomy for benign and low-grade malignant tumours

BACKGROUND

Parenchymal-sparing pancreatectomy (PSP) or pancreas-sparing duodenectomy (PSD) is an alternative method for patients with benign or low-grade malignant tumours at the pancreatic head or duodenum. It avoids traumatic pancreaticoduodenectomy (PD) with pancreatic function preservation and improves quality of life. However, few studies have reported on robotic PSP (RPSP) or robotic PSD (RPSD).

METHODS

A retrospective analysis of 17 patients with benign and low-grade malignant pancreatic head and duodenal tumours who underwent RPSP or RPSD from January 2018 to February 2022 was conducted. The demographic, perioperative, and postoperative data of all patients were collected and analysed.

RESULTS

The operations were successful for all seventeen patients without conversion, including 10 cases of RPSP and 7 cases of RPSD. For RPSP, eight patients underwent pancreatic enucleation, and two patients underwent uncinate process resection. For RPSD, five patients underwent local duodenectomy, and two patients underwent segmental duodenectomy, with five simultaneous jejunostomies and two distal gastrectomies. The median OT and EBL were 135 min and 50 mL for RPSP and 220 min and 100 mL for RPSD, respectively. The median LOS was 8 days for RPSP and 19 days for RPSD. The main postoperative complications for RPSP included POPF (grade B, 6 cases), DGE (grade B, 1 case), PPH (1 case), and intra-abdominal infection (1 case). The main postoperative complications for RPSD included DGE (grade B, 1 case, grade C, 3 cases), postoperative haemorrhage (1 case), intra-abdominal infection (1 case), and duodenal fistula (1 case). One patient underwent interventional drain placement after RPSP because of POPF.

CONCLUSION

RPSP or RPSD is feasible for highly selected patients with benign and low-grade malignant pancreatic head and duodenal tumours, avoiding potential pancreaticoduodenectomy.

Artificial intelligence for nuclear medicine in oncology

As in all other medical fields, artificial intelligence (AI) is increasingly being used in nuclear medicine for oncology. There are many articles that discuss AI from the viewpoint of nuclear medicine, but few focus on nuclear medicine from the viewpoint of AI. Nuclear medicine images are characterized by their low spatial resolution and high quantitativeness. It is noted that AI has been used since before the emergence of deep learning. AI can be divided into three categories by its purpose: (1) assisted interpretation, i.e., computer-aided detection (CADe) or computer-aided diagnosis (CADx). (2) Additional insight, i.e., AI provides information beyond the radiologist's eye, such as predicting genes and prognosis from images. It is also related to the field called radiomics/radiogenomics. (3) Augmented image, i.e., image generation tasks. To apply AI to practical use, harmonization between facilities and the possibility of black box explanations need to be resolved.