NCT07653178

Brief Summary

Bone defects following primary musculoskeletal tumor resection are frequently reconstructed using structural allografts. Allograft availability is limited, and intraoperative waste due to oversized graft selection remains a practical challenge in orthopedic oncology. Accurate preoperative estimation of the expected defect volume is therefore critical not only for surgical planning but also for minimizing unnecessary allograft use. This prospective study aims to evaluate the accuracy of the preoperative hemielipsoid formula in estimating bone defect volume after primary musculoskeletal tumor resection, using intraoperative fluid displacement as the reference standard. A secondary aim is to determine whether preoperative CT-based hemielipsoid volume calculation can reliably guide allograft selection and reduce intraoperative graft waste. Patients scheduled for primary musculoskeletal tumor resection with structural allograft reconstruction at Sakarya University Training and Research Hospital will be enrolled. Preoperative defect volume will be estimated using the hemielipsoid formula (V = 4/3 × π × a × b × c / 2) derived from preoperative CT measurements. Intraoperative defect volume will be measured by fluid displacement as the reference standard. Agreement between methods will be assessed by Bland-Altman analysis and intraclass correlation coefficient (ICC).

Trial Health

75
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
40

participants targeted

Target at P25-P50 for all trials

Timeline
9mo left

Started Jun 2026

Geographic Reach
1 country

1 active site

Status
active not recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress32%
Jun 2026Jul 2027

Study Start

First participant enrolled

June 1, 2026

Completed
10 days until next milestone

First Submitted

Initial submission to the registry

June 11, 2026

Completed
6 days until next milestone

First Posted

Study publicly available on registry

June 17, 2026

Completed
12 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 1, 2027

Expected
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

July 1, 2027

Last Updated

June 30, 2026

Status Verified

June 1, 2026

Enrollment Period

1 year

First QC Date

June 11, 2026

Last Update Submit

June 27, 2026

Conditions

Keywords

hemielipsoid formulabone defect volumeallograftoncologyorthopedic oncology

Outcome Measures

Primary Outcomes (1)

  • Agreement between preoperative hemielipsoid-estimated and intraoperative fluid displacement-measured bone defect volume

    Assessed by Bland-Altman analysis and intraclass correlation coefficient (ICC) between the two volumetric measurement methods

    Intraoperative (Day 1)

Secondary Outcomes (1)

  • Allograft waste volume

    Intraoperative (Day 1)

Study Arms (1)

Hemielipsoid Volume Estimation Group

atients undergoing primary musculoskeletal tumor resection with structural allograft reconstruction. Preoperative bone defect volume is estimated using the hemielipsoid formula from CT imaging. Intraoperative defect volume is measured by saline cavity fill displacement as the reference standard.

Procedure: Hemielipsoid Formula-Based Preoperative and Intraoperative Bone Defect Volume Estimation

Interventions

Preoperative bone defect volume is estimated by the operating surgeon using the hemielipsoid formula (V = 4/3 × π × a × b × c / 2) applied to routine preoperative CT imaging. The three principal dimensions of the anticipated resection defect are measured on axial, coronal, and sagittal CT reconstructions. Intraoperative defect volume is measured by saline cavity fill displacement as the reference standard. No additional procedures beyond standard surgical care are performed.

Also known as: Fluid Displacement Intraoperative Measurement
Hemielipsoid Volume Estimation Group

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients scheduled for primary musculoskeletal tumor resection with structural allograft reconstruction at the Department of Orthopedics and Traumatology, Sakarya University Training and Research Hospital. All patients are evaluated by a multidisciplinary oncology team prior to surgical planning.

You may qualify if:

  • Patients diagnosed with a primary musculoskeletal tumor requiring surgical resection
  • Structural allograft reconstruction planned following resection
  • Routine preoperative CT imaging available for hemielipsoid measurements
  • Age ≥ 18 years
  • Written informed consent obtained

You may not qualify if:

  • Metastatic bone tumors
  • Pathological fracture at the resection site precluding accurate volume estimation
  • Prior surgery at the same anatomical site
  • Unavailability of adequate preoperative CT imaging
  • Reconstruction planned with implant or autograft only (no structural allograft)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Sakarya University Training and Research Hospital

Sakarya, Turkey (Türkiye)

Location

MeSH Terms

Conditions

Bone NeoplasmsNeoplasms

Condition Hierarchy (Ancestors)

Neoplasms by SiteBone DiseasesMusculoskeletal Diseases

Study Design

Study Type
observational
Observational Model
CASE ONLY
Time Perspective
PROSPECTIVE
Target Duration
1 Day
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

June 11, 2026

First Posted

June 17, 2026

Study Start

June 1, 2026

Primary Completion (Estimated)

June 1, 2027

Study Completion (Estimated)

July 1, 2027

Last Updated

June 30, 2026

Record last verified: 2026-06

Data Sharing

IPD Sharing
Will not share

Individual participant data will not be shared publicly due to patient privacy considerations and institutional policy.

Locations