The SpinaLogic is a noninvasive electromagnetic bone growth stimulator indicated as an adjunct treatment to primary lumbar spinal fusion surgery for one or two levels.
Device Story
SpinaLogic is a portable, battery-powered, microcontrolled, noninvasive bone growth stimulator; generates low-energy electromagnetic fields to stimulate bone healing. Used as adjunct to primary lumbar spinal fusion surgery (one or two levels). Patient operates device at home for 30 minutes daily for 9 months. Device programmed to cease operation after 270 days. Healthcare providers monitor fusion status via radiographs and CT scans. Output is therapeutic electromagnetic field; intended to increase fusion success rates. Benefits include potential for improved spinal fusion outcomes in patients undergoing surgery.
Clinical Evidence
Prospective, randomized, double-masked, placebo-controlled multi-center trial (N=243 intent-to-treat, 201 evaluable). Primary endpoint: fusion status at 9 months post-surgery assessed by a panel (treating surgeon, radiologist, independent surgeon). Secondary panel analysis (incorporating clinical/surgical data) showed statistically significant treatment effect for active device vs. placebo in overall population (64% vs 43%, p=0.003) and females (67% vs 35%, p=0.001). No significant adverse events reported.
Technological Characteristics
Portable, battery-powered, microcontrolled electromagnetic bone growth stimulator. Generates combined static and dynamic magnetic fields. Complies with IEC 601-1-2:1993 for electromagnetic compatibility. Identical signal characteristics to predicate P910066.
Indications for Use
Indicated for patients over 18 years of age undergoing primary intertransverse lumbar spinal fusion (L3-S1) of one or two levels. Contraindicated in patients with demand-type pacemakers or ICDs, pregnant women, and those with metastatic cancer, metabolic bone disease, spondylitis, Paget's disease, moderate to severe osteoporosis, renal dysfunction, or uncontrolled diabetes.
Regulatory Classification
Identification
A non-invasive bone growth stimulator is a prescription device that provides stimulation through electrical, magnetic, or ultrasonic fields. The device is intended to be used externally to promote osteogenesis as an adjunct to primary treatments for fracture fixation and spinal fusion or as a treatment for established nonunions or failed fusions. Please reference: www.federalregister.gov/documents/2026/04/16/2026-07366/physical-medicine-devices-reclassification-of-non-invasive-bone-growth-stimulators.
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P910066/S11
# SPINALOGIC™ BONE GROWTH STIMULATOR
Summary of Safety and Effectiveness
# I. General Information
| Device Generic Name: | Noninvasive Bone Growth Stimulator |
| --- | --- |
| Trade Name: | SpinaLogic™ |
| Applicant's Name and Address: | OrthoLogic 1275 W. Washington Street Tempe, AZ 85281 |
| Premarket Approval (PMA) Application: | P910066 |
| Supplement Number: | S11 |
| Date of Notice of Approval to Applicant: | DEC 17 1999 |
# II. Device Description
The SpinaLogic™ is a portable, battery-powered, microcontrolled, noninvasive bone growth stimulator. It incorporates the same technological features as OrthoLogic's OrthoLogic Bone Growth Stimulator (P910066, approved March 4, 1994).
# III. Indications for Use
The SpinaLogic is a noninvasive electromagnetic bone growth stimulator indicated as an adjunct treatment to primary lumbar spinal fusion surgery for one or two levels.
# IV. Contraindications
- Demand-type pacemaker and implantable cardioverter defibrillator (ICD) operation may be adversely affected by exposure to combined static and dynamic magnetic fields. Physicians should not prescribe the SpinaLogic™ for patients with such devices.
- The safety and effectiveness of the SpinaLogic™ in pregnant women have not been studied, and the effects of the device on the mother or the developing fetus are unknown, thus, this device should not be used in pregnant women. If a woman becomes pregnant during treatment with the SpinaLogic,™ treatment should be discontinued immediately.
# V. Precautions
- The safety and effectiveness of the SpinaLogic™ has only been studied in those patients having spinal fusion treatment. The safety and effectiveness of this device in patients receiving instrumentation, which may distort the magnetic field generated by the device and thus produce less effective treatment, has not been established.
- The safety and effectiveness of the use of this device on individuals lacking skeletal maturity has not been established.
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- The safety and effectiveness of this device in treating patients with the following conditions has not been established and therefore the safety and effectiveness of the device in these individuals is unknown: osseous or ligamentous spinal trauma, spondylitis, Paget's disease, severe osteoporosis, metastatic cancer, renal disease, and uncontrolled diabetes mellitus.
- Animal studies conducted to date do not suggest any long term adverse effects from use of this device. However, long term effects in humans are unknown.
- Compliance with the treatment schedule, timely battery change and proper care of the device are essential. The device will not perform properly and treatment may be unnecessarily prolonged if the patient fails to adhere to the care routine.
- This device should not be used if there are mental or physical conditions which preclude patient compliance with the physician and device instructions.
- The SpinaLogic™ Bone Growth Stimulator was tested for electromagnetic compatibility and was found to comply with the limits for medical devices specified in IEC 601-1-2:1993. These limits are designed to provide reasonable protection against harmful interference in a typical medical or household setting. However, if the SpinaLogic™ Bone Growth Stimulator should appear to affect or be affected by other devices in the vicinity, please try to correct the interference by one or more of the following measures:
- increase the separation between the SpinaLogic™ and other electrical equipment or magnetic (metal) structures or
- call the local OrthoLogic Representative or Customer Service
- It is not recommended that the SpinaLogic™ be used while smoking or near excessive heat or an open flame.
- The following factors will be essential in allowing the SpinaLogic™ to be most effective in achieving a successful spinal fusion:
- compliance with physician instructions
- compliance with daily treatment schedule
- proper care of the device
- Components in this system are to be used only with OrthoLogic components. No attempt should be made to modify or repair this device.
# VI. Alternate Practices and Procedures
Alternatives to use of the SpinaLogic™ include physical therapy, medications, external bracing, chiropractic care, exercising, and spinal fusion therapy (with or without instrumentation) and with or without concomitant stimulation. Other stimulation devices are in commercial distribution and are indicated for "use as an adjunct electrical treatment to primary spine fusion surgery." These other devices utilize different methods to stimulate bone growth and consist of both invasive and noninvasive stimulators.
# VII. Marketing History
The SpinaLogic™ has neither been marketed nor commercially distributed inside or outside the United States.
# VIII. Potential Adverse Effects of the Device On Health
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No adverse reactions or medical complications related to the use of this device were reported during the clinical investigation.
# IX. Summary of Non-clinical Studies
The SpinaLogic™ incorporates the same technological features of the OrthoLogic™ Bone Growth Stimulator (P910066, approved March 4, 1994) and the treatment signal for the SpinaLogic™ is identical to that of the OrthoLogic™. A series of laboratory studies were previously conducted in support of the safety and effectiveness of the OrthoLogic™ Bone Growth Stimulator and reported in P910066, Volume 3, Section 5.0, pages 2-69). Toxicological studies on isolated cells, as well as animals, were performed to evaluate the safety of combined static and dynamic magnetic fields. Further, in vitro and in vivo studies were conducted to determine whether the application of these magnetic fields in animal models would stimulate bone healing and other related biological responses. Many of these previous laboratory experiments included whole body exposure to the test animals (and thus included vertebrae and nerve tissue). Additional details of the pre-clinical studies gathered using the OrthoLogic™ can be found in the Summary of Safety and Effectiveness for OrthoLogic™ Bone Growth Stimulator (P910066).
# X. Summary of Clinical Investigation
Clinical data to support the safety and effectiveness of the SpinaLogic™ were collected as part of multi-center trial.
# A. Study Design
The clinical study was a prospective, randomized, double-masked, placebo-controlled trial where the placebo appeared to be a fully functioning SpinaLogic™, however no therapeutic treatment signal was delivered. The purpose of this clinical study was to investigate the safety and effectiveness of the SpinaLogic™ as an adjunct to spinal fusion.
The endpoint for the determination of effectiveness was the status of the fusion after 9 months of treatment as judged by a panel of evaluators. The panel was comprised of the investigator (treating orthopedic surgeon) and two masked reviewers: a musculoskeletal radiologist and an orthopedic surgeon. Safety was determined by evaluating all reports of device-related complications and adverse effects.
The study was designed to eliminate potential bias. As previously noted, the placebo device appeared to the patient and his/her attending surgeon as a fully functioning device, but it did not provide therapy. The low energy magnetic fields utilized during active treatment could not be sensed by the surgeon or the patient, and therefore, allowed the masked randomization of active and placebo (inactive) stimulators. The assignment of an active or placebo stimulator to patients was block randomized by investigational site and stratified within investigational sites by the number of vertebral levels fused. Lists of randomized treatment assignments were sent to the study sites. Separately within each study site and within strata defined by one or two levels of fusion, each list provided a block size of six so that there was good balance between treatment arms for each multiple of six patients.
The patients were seen at enrollment, three, six and nine months post-surgery for imaging of the fusion site and clinical assessment (current occupational status, physical activity, pain, medication usage, type of immobilization, fusion status, radiographic findings and device usage). Additionally, a 3-month post-treatment follow-up visit was conducted to confirm the findings of the 9-month post-surgery follow-up. Imaging techniques included plain radiographs (anteroposterior (AP), lateral and obliques) and
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CT scans. Lateral flexion-extension radiographs were also taken when clinically indicated.
# B. Inclusion/Exclusion Criteria
# 1. Inclusion Criteria
Patients meeting the following inclusion criteria and not specifically excluded (see Exclusion Criteria below) were enrolled in this study:
- Over 18 years of age;
- Having undergone a primary intertransverse fusion without internal fixation of one or two vertebral levels between the third lumbar vertebrae (L3) and the sacrum (S1) within the last 30 days; and
- Grafted with autograft alone or in combination with allograft.
# 2. Exclusion Criteria
Patients who met any of the following exclusion criteria were not eligible for participation in this study:
- Pregnant women shall not participate in this study, and if a patient became pregnant, she was immediately withdrawn from the study. Additionally, female subjects of childbearing potential should have used an acceptable form of birth control, i.e., birth control pills, diaphragm with spermacidal gel or condom;
- Diagnosed as having metastatic cancer, metabolic bone disease, spondylitis, Paget's disease, moderate to severe osteoporosis, renal dysfunction and uncontrolled diabetes mellitus or having an implanted cardiac pacemaker; and
- Underwent a spinal fusion for vertebral trauma or scoliosis.
# C. Enrollment, Treatment and Follow-Up Visits
The device was dispensed within 30 days following fusion surgery. The patient used the SpinaLogic™ for 30 minutes per day according to the instructions in the patient manual. The device was used for nine months following enrollment (the SpinaLogic™ is programmed to cease operation at the end of 270 days).
The patients were seen at enrollment, three, six and nine months post-surgery for imaging of the fusion site and clinical assessment (current occupational status, physical activity, pain, medication usage, type of immobilization, fusion status, radiographic findings and device usage). Additionally, a 3-month post-treatment follow-up visit was conducted to confirm the findings of the 9-month post-surgery follow-up.
# D. Outcome Measures
# 1. Safety
During this clinical investigation all device-related comments, complications and adverse effects were recorded and evaluated.
# 2. Effectiveness
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# a. Radiographic Assessment
The status of the fusion was graded into one of four categories, from no fusion (0) to solid fusion (3). When two levels were involved, the lowest grade at either level was utilized for the fusion assessment. For purposes of outcome and as defined in the protocol, the grades of "0" and "1" were combined into a single category, "No Fusion." Grades "2" and "3" were combined into another category, "Fusion".
# b. Role of the Assessment Panel in Fusion Determination
The outcome was a combination of the rating assigned by the investigator (masked treating orthopedic surgeon) and two independent masked reviewers: a musculoskeletal radiologist and an orthopedic surgeon. When the radiologist and the investigator agreed, the fusion was assigned their agreed-upon status. When the investigator and radiologist disagreed, the masked orthopedic surgeon's rating was used as a tiebreaker.
Panel decisions were made in two manners:
# i. Original Panel
- Treating Surgeon – The Treating Surgeon, had access to all radiographic imaging, clinical, and surgical information.
- Radiologist – Radiologist utilized only the radiographic imaging information, as stated in the original investigational protocol.
- Independent Surgeon – The Independent Surgeon, utilized only radiographic imaging information to make the fusion assessment, as stated in the original investigational protocol.
# ii. Secondary Panel
In an effort to provide an analysis which allows the independent surgeon the opportunity to review a patient's clinical background prior to making a determination of the patient's fusion status, a secondary panel analysis was performed. This secondary analysis is in the spirit of FDA guidance which historically recognize the importance for clinical patient information to be included in the radiographic evaluation of fusion.
In the Secondary Panel Assessment the only reviewer to do an additional review was the Independent Orthopaedic Surgeon (the Treating Surgeon's and the Radiologist's assessment from the Original Panel were utilized in the Secondary Panel Assessment).
The Independent Surgeon did an additional review in the Secondary Panel Assessment and was provided additional information when compared to his original review. Specifically, in the Secondary Panel Assessment the Independent Surgeon utilized all radiographic imaging, as well as the clinical, and surgical information. Specifically, he had the Enrollment form, Follow-up forms and operative record.
The enrollment form included patient demographic data, medical history, prior spinal treatments, diagnosis, physical activity and baseline pain.
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The follow-up forms included the patients assessment of physical activity, current pain, pain medication usage, current immobilization and device usage. The Treating Surgeons' radiographic findings were masked on all follow-up forms. He had no attending surgeons' notes, opinions or findings that would have made known to him the Treating Surgeons' findings.
The operative report included specific information on what surgical procedure was performed, the amount, type and source of bone graft utilized.
As with his previous review the Independent Surgeon was masked as to the active or placebo status of the patient. He was also masked to his original assessment. He was masked as to the Radiologist's and Treating Surgeons' assessment as well as being masked to the outcome of the original panel."
# E. Study Endpoint
The study endpoint was assessment of the fusion after 9 months of treatment as judged by a panel of three evaluators.
# F. Subject Population : Enrollment and Withdrawal
The first patient was enrolled in this study on Feb 17, 1993. At the time of database closure, July 13, 1998, there were 243 patients who theoretically should have completed the 3-month post treatment follow-up visit. This defines the intent-to-treat population.
Two-hundred and one (201) patients make up the evaluable population which includes all patients who completed their 9- month follow-up visit within 28 days of the prescribed date of the follow-up and their 3-month post-treatment follow-up visit within a window of -28 and +90 days around the prescribed date of the follow-up.
Of the 243 patients, 201 patients were evaluable. Eight (8) placebo and 8 active patients voluntarily withdrew before the 9-month visit, 5 placebo and 5 active patients were withdrawn by their physician before the 9-month visit, 1 placebo and 1 active patient died prior to their 9-month visit, 2 placebo patients were withdrawn due to protocol violations, and 5 placebo and 7 active patients were withdrawn because they had follow-up visits outside of the plus-or-minus 28 day window. These patients are evaluated in the Intent-To-Treat analysis but excluded from the evaluable patient analysis.
All patients are accounted for in this study. Patient adherence with the 3, 6 and 9 month follow-up visit requirement was greater than 94%.
# G. Treatment Compliance
For the majority of both active and placebo patients treatment compliance was greater than 75% compliance for at least 85% of the placebo treated patients and 75% of the active treated patients.
# H. Demographic and Medical and Socioeconomic Characteristics
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Demographic, medical and socioeconomic characteristics of the entire patient population are provided in the table below. Some data for one active case (*) is not shown because of incomplete records for the case. These data were compared and tested for statistical differences between the placebo and active patient populations.
Demographic, Medical and Socioeconomic Characteristics
| Demographics | | Placebo | Active | Test P-value |
| --- | --- | --- | --- | --- |
| Age, yr.(Calculated) | N | 118 | 124* | T(240): 0.92 |
| | Mean | 56.58 | 56.77 | |
| | Std | 15.03 | 15.47 | |
| | Median | 57.00 | 57.00 | |
| | Min | 26.00 | 22.00 | |
| | Max | 82.00 | 87.00 | |
| Sex | Male | 43(36%) | 51(41%) | Exact: 0.51 |
| | Female | 75(64%) | 74(59%) | |
| Height, in. | N | 118 | 124 | T(240): 0.44 |
| | Mean | 66.67 | 66.26 | |
| | Std | 4.02 | 4.19 | |
| | Median | 66.00 | 65.00 | |
| | Min | 57.00 | 60.00 | |
| | Max | 76.00 | 76.00 | |
| Weight, lb. | N | 118 | 124 | T(240.0): 0.25 |
| | Mean | 171.47 | 176.98 | |
| | Std | 35.25 | 38.58 | |
| | Median | 170.00 | 177.00 | |
| | Min | 105.00 | 95.00 | |
| | Max | 285.00 | 279.00 | |
| **Medical & Socioeconomic Baselines** | | | | |
| Currently Smoke | No | 104(88%) | 105(84%) | Exact: 0.46 |
| | Yes | 14(12%) | 19(15%) | |
| Prior Discectomy | No | 92(78%) | 100(80%) | Exact: 0.64 |
| | Yes | 26(22%) | 24(19%) | |
| Prior Laminotomy | No | 94(80%) | 95(76%) | Exact: 0.64 |
| | Yes | 24(20%) | 29(23%) | |
| Current Occupation | Not Employed | 47(40%) | 55(44%) | CMH(1): 0.96 |
| | Unable to Work | 40(34%) | 36(29%) | |
| | Sedentary | 9(8%) | 8(6%) | |
| | Light Labor | 10(8%) | 11(9%) | |
| | Moderate Labor | 7(6%) | 8(6%) | |
| | Heavy Labor | 5(4%) | 6(5%) | |
| Current Activity | Minimal | 76(64%) | 84(67%) | CMH(1): 0.65 |
| | Light | 19(16%) | 17(14%) | |
| | Moderate | 16(14%) | 17(14%) | |
| | Active | 7(6%) | 6(5%) | |
| Back Pain | None | 6(5%) | 4(3%) | CMH(1): 0.67 |
| | Mild | 12(10%) | 17(14%) | |
| | Moderate | 21(18%) | 26(21%) | |
| | Severe | 79(67%) | 77(62%) | |
| Leg Pain | None | 5(4%) | 8(6%) | CMH(1): 0.29 |
| | Mild | 6(5%) | 14(11%) | |
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| | Moderate Severe | 24(20%) 83(70%) | 16(13%) 86(69%) | |
| --- | --- | --- | --- | --- |
| Current Surgery | | | | |
| Levels Fused | One Two | 83(70%) 35(30%) | 83(66%) 41(33%) | Exact: 0.58 |
| Autogenous Graft | Cancellous Corticocancellous Both | 18(15%) 36(31%) 64(54%) | 18(14%) 41(33%) 65(52%) | Chi sq (2): 0.91 |
| Allograft | No Yes | 93(79%) 25(21%) | 98(78%) 26(21%) | Exact: 1.00 |
The statistical test results demonstrate that the randomized assignments of patients to the two treatment arms resulted in a very well balanced distribution of patient characteristics between placebo and active devices. No statistically significant differences were found for the clinical variables cited.
# I. Results
Data were analyzed using SAS 6.12 and EGRET software. Fishers Exact tests and Student t-tests were used to examine the relation of individual risk factors to the outcome. As defined in the statistical section of the study protocol, the analysis began with an examination of simple cross-tabulations, separately stratified tables of treatment outcome at nine months after study entry, by gender and by number of levels fused. To further examine the finding demonstrated by the simple cross-tabulations, an analysis using logistic regressions was then performed, allowing for the adjustment of several covariates in the same model, which allowed the relative contribution of terms to be assessed. The two methods complement one another, presenting a more complete picture of the relation of treatment to outcome than is available with either analysis alone. All statistical tests were two-sided and a p-value of 0.05 was considered significant.
# 1. Study Endpoint (9-Months)
Percent Fusion Success as Determined by the Original Panel as proposed within the Investigational Protocol is as follows:
Percent Fusion Success as Determined by the Original Panel at 9 months
| | Placebo | Active | P-Value |
| --- | --- | --- | --- |
| All Patients | 43 (44%) | 54 (52%) | 0.324 |
| Males Only | 22 (55%) | 16 (39%) | 0.184 |
| Females Only | 21 (37%) | 38 (60%) | 0.011 |
This data demonstrates a trend towards a positive effect as an adjunctive treatment in the total patient population and the female population, however, there is a trend towards a negative effect in the male population. Additionally, the data demonstrates that this treatment effect is only statistically significant in the female population.
In an effort to provide an analysis which allows the independent surgeon the opportunity to review a patient's clinical background prior to making a determination of the patient's
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| | Moderate Severe | 24(20%) 83(70%) | 16(13%) 86(69%) | |
| --- | --- | --- | --- | --- |
| **Current Surgery** | | | | |
| Levels Fused | One Two | 83(70%) 35(30%) | 83(66%) 41(33%) | Exact: 0.58 |
| Autogenous Graft | Cancellous Corticocancellous Both | 18(15%) 36(31%) 64(54%) | 18(14%) 41(33%) 65(52%) | Chi sq (2): 0.91 |
| Allograft | No Yes | 93(79%) 25(21%) | 98(78%) 26(21%) | Exact: 1.00 |
The statistical test results demonstrate that the randomized assignments of patients to the two treatment arms resulted in a very well balanced distribution of patient characteristics between placebo and active devices. No statistically significant differences were found for the clinical variables cited.
# I. Results
Data were analyzed using SAS 6.12 and EGRET software. Fishers Exact tests and Student t-tests were used to examine the relation of individual risk factors to the outcome. As defined in the statistical section of the study protocol, the analysis began with an examination of simple cross-tabulations, separately stratified tables of treatment outcome at nine months after study entry, by gender and by number of levels fused. To further examine the finding demonstrated by the simple cross-tabulations, an analysis using logistic regressions was then performed, allowing for the adjustment of several covariates in the same model, which allowed the relative contribution of terms to be assessed. The two methods complement one another, presenting a more complete picture of the relation of treatment to outcome than is available with either analysis alone. All statistical tests were two-sided and a p-value of 0.05 was considered significant.
# 1. Study Endpoint (9-Months)
Percent Fusion Success as Determined by the Original Panel as proposed within the Investigational Protocol is as follows:
Percent Fusion Success as Determined by the Original Panel at 9 months
| | Placebo | Active | P-Value |
| --- | --- | --- | --- |
| All Patients | 43 (44%) | 54 (52%) | 0.324 |
| Males Only | 22 (55%) | 16 (39%) | 0.184 |
| Females Only | 21 (37%) | 38 (60%) | 0.011 |
This data demonstrates a trend towards a positive effect as an adjunctive treatment in the total patient population and the female population, however, there is a trend towards a negative effect in the male population. Additionally, the data demonstrates that this treatment effect is only statistically significant in the female population.
In an effort to provide an analysis which allows the independent surgeon the opportunity to review a patient's clinical background prior to making a determination of the patient's
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fusion status, a secondary panel analysis (described above in X.D.2.a.ii) was performed. This secondary analysis is in the spirit of FDA guidance which historically recognize the importance for clinical patient information to be included in the radiographic evaluation of fusion. Provided below is a summary of Fusion Success as determined by the Secondary Panel.
Percent Fusion Success as Determined by the Secondary Panel at 9 months:
| | Placebo | Active | P-Value |
| --- | --- | --- | --- |
| All Patients | 42 (43%) | 67 (64%) | 0.003 |
| Males Only | 22 (55%) | 25 (61%) | 0.656 |
| Females Only | 20 (35%) | 42 (67%) | 0.001 |
In this instance, the data demonstrate a trend towards a positive effect as an adjunctive treatment in the overall, male and female populations. The data also demonstrates that this treatment effect is statistically significant in the overall population and in women (p-values < 0.05), while the treatment is not statistically significant in the male population.
Provided below is a gender breakdown, by active or placebo status, of those patients whose status changed during the Secondary Panel evaluation.
Comparison of Independent Surgeons Findings – Male Patients
| | Not Fused -> Fused | Fused -> Not Fused | No Change |
| --- | --- | --- | --- |
| Active | 11 | 1 | 29 |
| Placebo | 6 | 4 | 30 |
| Total | 17 | 5 | 59 |
Comparison of Independent Surgeons Findings – Female Patients
| | Not Fused -> Fused | Fused -> Not Fused | No Change |
| --- | --- | --- | --- |
| Active | 10 | 6 | 47 |
| Placebo | 6 | 11 | 40 |
| Total | 16 | 17 | 87 |
Seventeen (17) men's status' changed from "Not Fused" to "Fused" while 5 had a status change of "Fused" to "Not Fused." Sixteen (16) women's status' changed from "Not Fused" to "Fused" while an almost equal number (17) had a status change of "Fused" to "Not Fused
Although not originally proposed, the secondary analysis is a separate analysis of the data which incorporates clinical and radiographic evaluation of patients is in accordance with FDA DRAFT GUIDANCE (Released for comment on: March 18, 1998): which states: "Success should be demonstrated in terms of both radiographic and clinical healing." The original analysis did not take allow each reviewer to independently assess both clinical and radiographic conditions of each patient.
Thus, even though the method of data collection utilized by the Secondary Panel was not prescribed within the Investigational Protocol, the merits of this methodology support its use.
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## 2. Three Month Post-Treatment Follow-up
A 3-month post-treatment follow-up visit was conducted to confirm the findings of the study endpoint (9 months post surgery follow-up).
One hundred eighty eight (188) of the 201 patients evaluated at 9 months were evaluable at the 3-month post-treatment follow-up visit. Ninety-one (91) placebo cases and 97 active cases.
Provided in the table below is the accountability of patients between the 9-month and 3-month post-treatment follow-up visits.
Accountability of Patients: Between 9-month and 3-month Post-treatment Follow-up Visits
| | Placebo | Active | Total |
| --- | --- | --- | --- |
| Evaluable @ 9-month visit | 97 | 104 | 201 |
| Patient voluntarily withdrew after 9-month visit | 0 | 1 | 1 |
| Patient was withdrawn by physician after the 9-month visit | 0 | 2 | 2 |
| Visit out of window | 1 | 3 | 4 |
| Not assessable radiographs or CT scans | 5 | 1 | 6 |
| 3-month post-treatment evaluable population | 91 | 97 | 188 |
Provided in the table below are the results for the 3-month post-treatment follow-up visit for all patients.
3-month Post-treatment Follow-up (All Patients)
| Device | No Fusion | | Fusion | | Total |
| --- | --- | --- | --- | --- | --- |
| | Count | Row % | Count | Row % | |
| Placebo | 48 | 53% | 43 | 47% | 91 |
| Active | 36 | 37% | 61 | 63% | 97 |
| | 84 | | 104 | | 188 |
| P-value (Fisher's Exact Test) | .040 | | | | |
| Odds Ratio (C.I.) | 1.891(1.058-3.383) | | | | |
At the 9-month follow-up visit 43% and 64% of placebo and active-treatment patients, respectively, had fused (n=201, p=0.003, Fisher's exact test). At three months post treatment, these outcomes had only changed slightly 47% and 63% in the placebo and active-treatment groups, respectively. At three months post treatment there was still a positive treatment effect (p = 0.040). Provided in following table are displayed the agreements and disagreements in outcomes at the study endpoint (9-month) and 3-month post-treatment follow-up visits.
Outcome Confirmation: 9 months to 3 months post-treatment
| Fusion Status | 3-months post-treatment | |
| --- | --- | --- |
| 9-Month Visit | No Fusion | Fusion |
| No Fusion | 80 | 5 |
| Fusion | 4 | 99 |
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One hundred and seventy nine (179) of the 188 patients (95%) of the patients were the same fusion status, fused or not fused, at 3-months post- treatment as they were at 9-months and 5 patients (3%) progressed from not fused to fused. The remaining 4 patients (2%) considered fused at 9-months were not fused at 3- months post- treatment.
Therefore, the findings at the 3-month post-treatment follow-up visit are consistent with and confirm those seen at the study endpoint (9-month follow-up visit).
# 3. Longitudinal Analysis:
The original panel analysis shows that, for all patients and male patients there is no statistically significant difference between the active and placebo groups at any timepoint. For the female patients, there is a statistical significance between the active and placebo groups only at the 9 month (study endpoint) timepoint.
The secondary panel analysis shows there is a statistically significant difference for between the active and placebo groups only at the 9 month (study endpoint) timepoint for the overall patient population. For the male population, there is no statistically significant difference between the active and placebo groups at any time point. For the female population, there is a statistically significant difference between the active and placebo groups at the 6-month, 9-month (study endpoint) and 12-month (3 month post-treatment) timepoints.
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# Original Panel Assessment
Fusion by Visit - All Patients (N=201)

# Original Panel Assessment
Fusion by Visit - Male Patients (N=81)

# Original Panel Assessment
Fusion by Visit - Female Patients (N=120)

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# Original Panel Assessment
Fusion by Visit - All Patients (N=201)

# Original Panel Assessment
Fusion by Visit - Male Patients (N=81)

# Original Panel Assessment
Fusion by Visit - Female Patients (N=120)

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# Secondary Assessment
Fusion by Visit - All Patients (N=201)

# Secondary Assessment
Fusion by Visit - Male Patients (N=81)

# Secondary Assessment
Fusion by Visit - Female Patients (N=120)

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# 4. Logistic Regression
To further examine the treatment effect, an analysis using logistic regression was performed. This approach allows for the adjustment of covariates that might potentially impact the outcomes in the same model and assess the relative contribution of individual terms. The logistic regression approach complements the tabular approach presented above, presenting a more complete picture of the relation of treatment to outcome than is available with either analysis alone. The analysis examined the data for main effects as well as interactions with treatment.
Several logistic regression models were run to examine aspects of the data. The primary focus of the logistic regressions were the relation of treatment, active versus placebo, and fusion, appropriately dealing with the covariates of gender, smoking status, number of levels fused, and the anatomical site of the levels that were fused. These covariates were chosen because the literature suggests that they are candidates for main effect terms in the logistic regression model. The interaction with treatment was also examined, since the same covariate may appear in both sorts of terms, main effect or interaction.
The logistic regression findings demonstrate that, in distinct models, the only significant main effects are treatment, gender, and current smoking. The only nearly significant interaction is gender by treatment. There are no significant interactions of treatment with current smoking, number of levels fused, or anatomical levels fused. This justifies dealing in a unified manner with the subsamples of patients with one and two levels fused, and also unifying the data for patients with varying anatomical levels.
# 5. Intent-To-Treat Analysis
An intent-to-treat analysis was performed in order to examine the sensitivity of findings to missing or excluded values. A series of tabular analyses were run to examine 9-month outcomes. When outcomes were missing, in separate analyses, fusion status was imputed as fused, not fused, or assigned its most recent known value (LVCF) as seen at later of 3 or 6 months post-entry. Additionally, patients who had been excluded in previous analyses because their 9-month visit was outside the 28-day compliance window were now included and assigned their observed outcome at the visit recorded on the nine-month visit form. Using each of the three imputation schemes, tabulations were done separately for all subjects, males and females.
Using the data from the Secondary Analysis, there was a statistically significant treatment effect in favor of the active device for all patients: p-values were 0.006, 0.015, and 0.007 for imputation as fused, not fused, and "LVCF". For males, there was no statistically significant treatment effect: p-values were 0.521, 0.684, and 0.838 for imputation as fused, not fused, and "LVCF" For females, there was a statistically significant treatment effect in favor of the active device: p-values were 0.004, 0.0005, and 0.0003 for imputation as fused, not fused, and "LVCF".
In conclusion, the effectiveness findings cited above for the SpinaLogic™ device are unaffected by several reasonable imputations of missing data in an intent-to-treat analysis.
# XI. Conclusions Drawn from the Studies
All of the data provided in the previous sections describing the pre-clinical, clinical studies provide reasonable assurance of the safety and effectiveness of the SpinaLogic™ when
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used by trained physicians as a non-invasive bone growth stimulator used as an adjunct electrical treatment to primary lumbar spinal fusion surgery for one or two levels.
# XII. Panel Recommendations
This is a PMA supplement which did not require panel review.
# XIII. CDRH Decision
CDRH recommends approval for the SpinaLogic,™ a noninvasive electromagnetic bone growth stimulator indicated as an adjunct treatment to primary lumbar spinal fusion surgery for one or two levels.
# XIV. Approval Specifications
A Post-market Study will not be required for this device. No significant clinical issues of safety and effectiveness remain to be collected which would yield clinically significant information which would necessitate modifications to device indications, adverse events, contra-indications, precautions or warnings.
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the ? button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only Software as a Medical Device, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (Software as a Medical Device), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.