Minimally invasive, robotic-assisted resection of abdominal wall tumors: a case series - Scorecard - MDSpire

Minimally invasive, robotic-assisted resection of abdominal wall tumors: a case series

  • By

  • Johannes Maria Alberto Toti

  • Ramon Pini

  • Sebastiano Spampatti

  • Lorenzo Bernardi

  • Barbara Kopf

  • Francesco Mongelli

  • Fabio Garofalo

  • Fabiano Iaquinandi

  • Davide La Regina

  • May 20, 2026

  • 0 min

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Clinical Scorecard: Robotic-Assisted Minimally Invasive Resection of Tumors in the Abdominal Wall: A Case Series Analysis

At a Glance

CategoryDetail
ConditionAbdominal wall tumors confined to the musculofascial layer
Key MechanismsRobotic-assisted surgery for precise dissection and reconstruction
Target PopulationPatients with abdominal wall tumors suitable for minimally invasive resection
Care SettingTertiary referral center specializing in robotic abdominal wall surgery

Key Highlights

  • Five patients underwent robotic-assisted resection with R0 margins achieved in all cases
  • Mean operative time was 144 minutes with a hospital stay of 3.4 days
  • No intraoperative or postoperative complications reported
  • Four patients received mesh-based reconstruction
  • No hernia or tumor recurrence observed during short-term follow-up

Guideline-Based Recommendations

Diagnosis

  • Robotic-assisted resection is indicated for tumors confined to the musculofascial layer

Management

  • Perform robotic-assisted resection with or without mesh-based reconstruction

Monitoring & Follow-up

  • Follow-up for new or ongoing symptoms up to 6 weeks postoperatively

Risks

  • Potential for complications in open surgery; however, none reported in this robotic series

Patient & Prescribing Data

Five patients, predominantly female (80%), mean age 56.8 years

Robotic-assisted surgery offers advantages in recovery and complication rates compared to traditional open surgery

Clinical Best Practices

  • Utilize robotic-assisted techniques for complex abdominal wall reconstructions
  • Ensure adequate patient selection based on tumor characteristics and location
  • Monitor postoperative outcomes closely for complications and recurrence

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