Search Results

ACUSON Sequoia and Sequoia Select

The ACUSON Sequoia and Sequoia Select ultrasound imaging systems are intended to provide images of, or signals from, inside the body by an appropriately trained healthcare professional in a clinical setting for the following applications: Fetal, Abdominal, Pediatric, Neonatal Cephalic, Small Parts, OB/GYN (useful for visualization of the ovaries, follicles, uterus and other pelvic structures), Cardiac, Transesophageal, Pelvic, Vascular, Adult Cephalic, Musculoskeletal and Peripheral Vascular applications.

The system supports the Ultrasonically-Derived Fat Fraction (UDFF) measurement tool to report an index that can be useful as an aid to a physician managing adult and pediatric patients with hepatic steatosis.

The system also provides the ability to measure anatomical structures for fetal, abdominal, pediatric, small organ, cardiac, transvaginal, peripheral vessel, musculoskeletal and calculation packages that provide information to the clinician that may be used adjunctively with other medical data obtained by a physician for clinical diagnosis purposes.

ACUSON Origin and Origin ICE

The ACUSON Origin and Origin ICE ultrasound imaging systems are intended to provide images of. or signals from, inside the body by an appropriately trained healthcare professional in a clinical setting for the following applications: Fetal, Abdominal, Pediatric. OB/GYN (useful for visualization of the ovaries, follicles, uterus and other pelvic structures), Cardiac, Transesophageal, Intracardiac, Vascular, Adult Cephalic, and Peripheral Vascular applications.

The catheter is intended for intracardiac and intra-luminal visualization of cardiac and great vessel anatomy and physiology as well as visualization of other devices in the heart of adult and pediatric patients. The catheter is intended for imaging guidance only, not treatment delivery, during cardiac interventional percutaneous procedures.

The system also provides the ability to measure anatomical structures for fetal, abdominal, pediatric, cardiac, peripheral vessel, and calculation packages that provide information to the clinician that may be used adjunctively with other medical data obtained by a physician for clinical diagnosis purposes.

The ACUSON Sequoia, Sequoia Select, Origin and Origin ICE Diagnostic Ultrasound Systems are multi-purpose, mobile, software-controlled, diagnostic ultrasound systems with an on-screen display of thermal and mechanical indices related to potential bioeffect mechanisms. The ultrasound system function is to transmit and receive ultrasound echo data and display it in B-Mode, M-Mode, Pulsed (PW) Doppler Mode, Continuous (CW) Doppler Mode, Color Doppler Mode, Color M Mode, Doppler Tissue Mode, Amplitude Doppler Mode, a combination of modes, Panoramic Imaging, Contrast agent Imaging, Virtual Touch Strain Imaging (except Origin), Virtual Touch - pSWE Imaging, Virtual Touch - SWE Imaging, Custom Tissue Imaging, 3D/4D Volume lmaging or Harmonic Imaging on a Display and provide cardiac anatomical and quantitative function software applications.

This document describes the acceptance criteria and study that proves the device called ACUSON Sequoia Diagnostic Ultrasound System from Siemens Medical Solutions USA, Inc. meets the acceptance criteria.

1. Table of Acceptance Criteria and Reported Device Performance

The submission details two AI features: "AI Abdomen" and "Trace AI."

AI Abdomen

Trace AI

2. Sample Size Used for the Test Set and Data Provenance

AI Abdomen:

• Sample Size: 105 exams from individual patients, resulting in 1,785 images extracted (15 B-Mode images per view and per transducer).
• Data Provenance: Retrospective, collected from 3 institutions in the United States.

Trace AI:

• Sample Size: 10 different adult patients, from which 24 volumes were extracted.
• Data Provenance: Retrospective, collected from three institutions in the US, Mexico, and Germany.

3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications of Those Experts

AI Abdomen:

• Number of Experts: Three clinical users.
• Qualifications: All registered Clinical Sonographers with ARDMS accreditation (or equivalent), each with at least 3 years of clinical experience.

Trace AI:

• Number of Experts: Three clinical users.
• Qualifications: All registered Clinical Sonographers with ARDMS accreditation (or equivalent), each with at least 3 years of clinical experience.

4. Adjudication Method for the Test Set

AI Abdomen:

• For view classification, the ground truth was associated with each image at the time of imaging using a system protocol, implying a single determination at the point of acquisition.
• For semi-automated measurements, ground truth measurements were provided by three clinical users. The document does not explicitly describe an adjudication method (like 2+1 or 3+1 consensus) for these measurements, but the acceptance criterion of Individual Equivalence Coefficient (IEC) suggests a comparison of the algorithm's results against these expert measurements.

Trace AI:

• Ground truth measurements were provided by three clinical users. Each sonographer independently refined the initial circle provided by Trace AI to annotate the underlying orifice structure. They could only see their own annotations. The contour created by sonographers (Ground Truth) was then compared with the contour detected by Trace AI (Detection Truth). This implies a comparison against each expert's delineation, potentially implying an aggregation or statistical analysis of agreement rather than a formal consensus adjudication before comparison with the AI.

5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

• No MRMC comparative effectiveness study was explicitly mentioned in the provided text, and therefore, no effect size of human readers' improvement with AI vs. without AI assistance can be determined from this information. The studies described are performance evaluations of the AI algorithms themselves against ground truth.

6. Standalone (Algorithm Only) Performance Study

• Yes, the studies described for both "AI Abdomen" and "Trace AI" are standalone performance evaluations of the algorithms. They assess the algorithms' accuracy in view classification, semi-automated measurements, and segmentation (DICE coefficient) against established ground truth without a human-in-the-loop component for the performance measurement. The "AI Abdomen" notes testing "with and without users editing the landmark locations" for measurements, implying that the algorithm's initial measurement (standalone) was evaluated. "Trace AI" describes experts refining initial circles given by Trace AI, and then comparing the expert-refined contour to the contour detected by Trace AI algorithm, further confirming a standalone evaluation of the algorithm's output.

7. Type of Ground Truth Used

AI Abdomen:

• View Classification: Ground truth view labels were associated with each image at the time of imaging using a system protocol. This suggests a form of expert labeling or pre-categorization at the point of data capture.
• Semi-automated Measurements: Expert consensus (or at least independent expert measurements) provided by three registered Clinical Sonographers.

Trace AI:

• Expert consensus/independent expert annotations: Ground truth measurements (delineations of orifice structures) were provided by three registered Clinical Sonographers independently.

8. Sample Size for the Training Set

• The document does not explicitly state the sample size for the training set for either AI Abdomen or Trace AI. It only focuses on the test set and ensures its independence from the training data.

9. How the Ground Truth for the Training Set Was Established

• The document does not explicitly state how the ground truth for the training set was established. It only mentions that the testing dataset was from different clinical sites than those used for training, to ensure independence.

Ask a specific question about this device