首页|National Institute of Nuclear Physics Reports Findings in Robotics (First-in-human validation of a DROP-IN b-probe for robotic radioguided surgery: defining optimal signal-to-background discrimination algorithm)
National Institute of Nuclear Physics Reports Findings in Robotics (First-in-human validation of a DROP-IN b-probe for robotic radioguided surgery: defining optimal signal-to-background discrimination algorithm)
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Springer Nature
New research on Robotics is the subject of a report. According to news reporting originating from Rome, Italy, by NewsRx correspondents, research stated, “In radioguided surgery (RGS), radiopharmaceuticals are used to generate preoperative roadmaps (e.g., PET/CT) and to facilitate intraoperative tracing of tracer avid lesions. Within RGS, there is a push toward the use of receptor-targeted radiopharmaceuticals, a trend that also has to align with the surgical move toward minimal invasive robotic surgery.” Financial supporters for this research include European Commission, Universita degli Studi di Roma La Sapienza. Our news editors obtained a quote from the research from the National Institute of Nuclear Physics, “Building on our initial ex vivo evaluation, this study investigates the clinical translation of a DROP-IN b probe in robotic PSMA-guided prostate cancer surgery. A clinical-grade DROP-IN b probe was developed to support the detection of PET radioisotopes (e.g., Ga). The prototype was evaluated in 7 primary prostate cancer patients, having at least 1 lymph node metastases visible on PSMA-PET. Patients were scheduled for radical prostatectomy combined with extended pelvic lymph node dissection. At the beginning of surgery, patients were injected with 1.1 MBq/kg of [Ga]Ga-PSMA. The b probe was used to trace PSMAexpressing lymph nodes in vivo. To support intraoperative decision-making, a statistical software algorithm was defined and optimized on this dataset to help the surgeon discriminate between probe signals coming from tumors and healthy tissue. The DROP-IN b probe helped provide the surgeon with autonomous and highly maneuverable tracer detection. A total of 66 samples (i.e., lymph node specimens) were analyzed in vivo, of which 31 (47%) were found to be malignant. After optimization of the signal cutoff algorithm, we found a probe detection rate of 78% of the PSMA-PET-positive samples, a sensitivity of 76%, and a specificity of 93%, as compared to pathologic evaluation. This study shows the first-in-human use of a DROP-IN b probe, supporting the integration of b radio guidance and robotic surgery.”
RomeItalyEuropeAlgorithmsEmerging TechnologiesHealth and MedicineHemic and Immune SystemsImmunologyIndicators and ReagentsLymph NodesLymphoid TissueMachine LearningRadiopharmaceuticalsRoboticsRobotsSurgery
NETL
NSTL
Springer Nature
