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510(k) Data Aggregation
(261 days)
The KARL STORZ bipolar resectoscopes with HF cable are intended for use by qualified surgeons for cutting, ablation, vaporization, and/or coagulation of tissue during various endoscopic urological procedures.
The KARL STORZ bipolar resectoscopes with HF cable are intended for use by qualified surgeons for cutting, ablation, vaporization, and/or coagulation of tissue during various endoscopic electrosurgical procedures.
The KARL STORZ bipolar resectoscopes with HF cable are intended for use by qualified surgeons for cutting, ablation, vaporization, and/or coagulation of tissue during various endoscopic urological and hysteroscopic electrosurgical procedures.
Indications for Use in UROLOGY: The KARL STORZ bipolar resectoscopes with HF cable are intended for use by qualified surgeons for cutting, ablation, vaporization, and/or coagulation of tissue during various endoscopic urological procedures.
Indications for Use in GYNECOLOGY: The KARL STORZ bipolar resectoscopes with HF cable are intended for use by qualified surgeons for cutting, ablation, vaporization, and/or coagulation of tissue during various endoscopic hysteroscopic electrosurgical procedures
Indications for Use in UROLOGY and GYNECOLOGY: The KARL STORZ bipolar resectoscopes with HF cable are intended for use by qualified surgeons for cutting, ablation, vaporization, and/or coagulation of tissue during various endoscopic urological and hysteroscopic electrosurgical procedures.
Resectoscopes are used for endoscopically controlled ablation of tissue. They are used for examination, diagnosis and/or therapy in conjunction with endoscopic accessories in medical disciplines such as Urology and Gynecology. A resectoscope is a combined cystoscope (urology) or hysteroscope (gynecology) and electrosurgical instruments and consists of a sheath, obturator, working element and HF electrode.
This document describes the KARL STORZ Bipolar Resectoscopes with HF cable (K221893). It is important to note that this device is not an AI/ML powered device, therefore, many of the typical acceptance criteria and study details related to AI performance, such as sample sizes for test and training sets, expert qualifications, and adjudication methods, are not applicable.
Here's an analysis of the provided information:
1. Table of Acceptance Criteria and Reported Device Performance
Since this is a traditional medical device and not an AI/ML powered device, the "acceptance criteria" are based on compliance with recognized standards and design specifications, rather than quantitative performance metrics like sensitivity or specificity.
Acceptance Criterion (Non-Clinical) | Reported Device Performance |
---|---|
Electrical Safety and EMC | Complies with IEC 60601-1, IEC 60601-1-2, IEC 60601-2-18 |
Biocompatibility | Complies with ISO 10993 (specific parts not detailed, but generally covers biocompatibility) |
Performance Testing | |
- Attachment/Detachment force of the electrode | Verified (Met design specifications) |
- System Interlocking Test | Verified (Met design specifications) |
- Flow Test (comparative) | Verified (Met design specifications) |
- Bending Force Test | Verified (Met design specifications) |
- HF Tissue and HF Durability Test | Verified (Met design specifications) |
Design Specifications | All design specifications were met through additional bench testing. (Specific quantitative specifications are not provided in this summary, but are internally verified by the manufacturer). |
Substantial Equivalence to Predicate Device | The conclusions drawn from the nonclinical tests demonstrate that the subject device performs as well as or better than devices currently marketed for the same intended use. (This is the overarching acceptance criterion for 510(k) clearance). |
2. Sample Size Used for the Test Set and Data Provenance
Not applicable for a non-AI/ML medical device. Testing was primarily bench testing to verify engineering specifications and compliance with standards. There is no "test set" in the context of image or data analysis.
3. Number of Experts Used to Establish Ground Truth and Qualifications
Not applicable. Ground truth, in the context of AI, refers to expert-labeled data. For this device, "ground truth" would be established by engineering specifications and objective measurements against those specifications.
4. Adjudication Method
Not applicable. This is relevant for studies involving human interpretation or labeling of data, which is not the case here.
5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study
No. This a traditional medical device, not an AI-assisted device, therefore, no such study was conducted to evaluate human reader improvement with AI.
6. Standalone Performance Study
Yes, in a sense. The non-clinical performance data (electrical safety, biocompatibility, and various performance tests) represent the "standalone" performance of the device without human interaction being a variable in the performance assessment itself (though human surgeons use the device). The tests verify the device's inherent functional characteristics and safety.
7. Type of Ground Truth Used
For non-clinical testing of a traditional medical device, the "ground truth" used would be:
- Engineering Specifications: Pre-defined technical requirements for the device's dimensions, material properties, electrical characteristics, mechanical strength, and functional performance.
- Recognized Standards: International (e.g., IEC, ISO) and national standards that set minimum safety and performance requirements for medical devices of this type.
- Comparative Performance to Predicate Device: The performance of the legally marketed predicate device (K210651), which serves as a benchmark for substantial equivalence.
8. Sample Size for the Training Set
Not applicable. This device does not involve machine learning; therefore, there is no "training set."
9. How the Ground Truth for the Training Set Was Established
Not applicable. As there is no training set for a machine learning model, establishing ground truth for such a set is irrelevant.
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(123 days)
The ForceTriad is a full-featured electrosurgical generator intended for open and laparoscopic surgical procedures where the surgeon requires electrosurgical cutting (resecting, dividing, or separating), coagulation (hemostasis, coagulating, or desiccating), or vessel sealing or fusing.). The generator is intended for use in general, laparoscopic, and gynecologic surgical procedures where ligation of vessels, pulmonary vasculature, or lymph vessels, is desired. The system creates a vessel ligation (seal) by the application of bipolar electrosurgical RF energy (coagulation) to vessels interposed between the jaws of the device. The generator can also be used with standard bipolar devices where bipolar cutting or coagulation is desired or with compatible resectoscopes for endoscopically controlled removal (resection) or coagulation of tissue using 0.9% NaCl solution (saline) as the irrigation medium.
The indications for use include general (including urologic, thoracic, plastic, and reconstructive), laparoscopic, and gynecological procedures where electrosurgical cutting and coagulation of tissue, and sealing (fusion) of vessels, including pulmonary vessels, and tissue bundles is performed, including such procedures as bowel resections, hysterectomies (both vaginal and abdominal), laparoscopic cholesystectomies, laparoscopically assisted vaginal hysterectomies, gall bladder procedures, Nissen fundoplication, adhesiolysis, oophorectorny, etc. The devices can be used on vessels (arteries, veins. pulmonary arteries, pulmonary veins, lymph) up to 7mm and bundles as large as will fit in the jaws of the instruments.
The LigaSure tissue fusion function has not been shown to be effective for tubal sterilization or tubal coagulation for sterilization procedures. Do not use this function for these procedures.
The ForceTriad™ Electrosurgical Generator is a full-featured electrosurgical generator with monopolar, bipolar, and LigaSure™ vessel sealing output modes. TThe generator is an electrically isolated, microcontroller-based device, incorporating closed-loop control for all output modes implemented in the microcontroller firmware. The generator incorporates Instant Response™ technology to constantly measure the electrical impedance of the tissue and instantaneously adjust the generator output to maintain the desired power.
The generator is used with a selection of electrosurgical instruments designed for use with the ForceTriad and the LigaSure Vessel Sealing generator. All of the LigaSure instruments are capable of sealing vessels up to, and including, 7mm, and tissue bundles as large as can fit in the jaws of each instrument. When a LigaSure instrument is applied to a vessel or tissue bundle and RF energy is applied, the collagen and elastin in the tissues are reformed by heat and pressure to fuse vessel walls, thereby forming a permanent seal. The microprocessor in the generator monitors the tissue properties, stops the application of energy, and allows a brief period of cooling before indicating that the seal cycle is complete.
No changes are being made to the design, operation, or intended use of any of the current system except the software modifications to create the Bipolar Resection modes and to allow the ForceTriad to output system data to a computer. The subject of this 510(k) notification is in regards to the addition of specific definitions for "cut" and "coagulating" and the addition to the indications statement of a bipolar resection function for use with resectoscopes "for endoscopically controlled removal of tissue using 0.9% NaCl solution (saline) as the irrigation medium" and the hardware and software associated with the activation of this feature.
Here's an analysis of the provided text regarding the ForceTriad™ Electrosurgical Generator, focusing on acceptance criteria and supporting studies:
It's important to note that the provided document is a 510(k) premarket notification, which concerns substantial equivalence to predicate devices, rather than a detailed report of a new device's efficacy studies in the same way one might find for novel drug or medical device. Therefore, the information regarding specific acceptance criteria and detailed study outcomes for meeting those criteria is presented at a high level.
1. Table of Acceptance Criteria and Reported Device Performance
Acceptance Criteria Category | Reported Device Performance |
---|---|
Software Validation | Software validation was conducted to qualify the software changes related to the bipolar resection feature. |
Bench Testing | Bench testing using a pork model (to simulate prostate) was conducted. |
Live Porcine Model | Live porcine model testing using kidney (for hemostasis) was conducted. |
Safety Standards | Testing required by relevant safety standards was conducted. |
Overall Conclusion | "Results were acceptable." |
"Testing found that the software met acceptance criteria." | |
"The testing results at the system and individual accessories levels have met the pass-fail criteria." | |
Conclusion: "Based on the information provided, Covidien concludes that the modified device is substantially equivalent to the predicate devices. The software modifications made to the ForceTriad™ detailed in this Traditional 510(k) have not introduced any new questions of Safety and Efficacy. The new software was developed and tested in accordance with the Design Control regulations and internal procedures." |
2. Sample Size Used for the Test Set and Data Provenance
The document does not explicitly state the sample sizes (i.e., number of pork models or live porcine models) used for the bench and live animal testing. It also doesn't specify the country of origin for the data or whether the studies were retrospective or prospective, though animal model testing is inherently prospective.
3. Number of Experts Used to Establish the Ground Truth for the Test Set and Their Qualifications
This information is not provided in the document. The document refers to "bench testing" and "live porcine model" studies, but it doesn't detail how the "ground truth" or "acceptable results" were determined, nor does it mention the involvement or qualifications of experts in assessing the outcomes of these tests. For electrosurgical devices, ground truth might relate to tissue effects, seal integrity, or lack of collateral damage, which would traditionally be assessed by veterinary pathologists or surgeons.
4. Adjudication Method for the Test Set
This information is not provided in the document. Given the nature of bench and animal testing for an electrosurgical device, it's less likely to involve the same type of "adjudication" seen in image-based diagnostic studies. Performance would likely be assessed against predefined engineering specifications (e.g., power output, tissue cut/coagulation characteristics).
5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study
- No MRMC study was done. The document explicitly states: "This premarket notification report does not rely on the assessment of clinical performance data to demonstrate substantial equivalence." This means there was no human reader study comparing effectiveness with and without AI assistance (as AI is not the primary focus here, rather software updates for device functionality).
6. Standalone (Algorithm Only) Performance Study
- No standalone algorithm performance study in the typical sense was performed or reported. This submission focuses on software updates to an existing electrosurgical generator to enable a bipolar resection feature. The "algorithm" here refers to the closed-loop control and Instant Response™ technology within the electrosurgical generator, which is designed to adjust output based on tissue impedance. The testing confirmed the device's functionality with these software updates, not an independent algorithm's diagnostic or predictive performance.
7. Type of Ground Truth Used
Based on the description of "bench testing using a pork model (to simulate prostate) and live porcine model using kidney (for hemostasis)," the ground truth for these tests would likely involve direct observation and measurement of tissue effects. This could include:
- Pathology/Histology: Microscopic examination of treated tissue to assess cut quality, depth of coagulation, cell viability, and collateral damage.
- Physiological Measurements: For hemostasis, this might involve quantitative measures of blood loss or time to achieve cessation of bleeding.
- Engineering Specifications: Measurement of power output, impedance feedback, and response times against predefined technical specifications.
The document states "Results were acceptable," implying that these assessments met predetermined performance standards.
8. Sample Size for the Training Set
The document does not mention a "training set" in the context of machine learning or AI algorithm development. The software updates relate to activating a specific electrosurgical mode and recognizing accessories, not to a learning algorithm requiring a distinct training phase. The "software validation" and "testing" refer to verification and validation of the software's functionality and safety, not training an AI model.
9. How the Ground Truth for the Training Set Was Established
As there is no mention of a "training set" for an AI algorithm, this question is not applicable to the provided document. The ground truth for the testing that was performed (bench and live animal) would have been established as described in point 7.
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