CtspinoPelvic1K dataset links spine pelvis ribs femora for anatomy studies
CTSpinoPelvic1K: spine, pelvis, ribs and femora in one coordinate frame, annotated for lumbosacral transitional anatomy
Artificial IntelligenceMachine Learning
Summary
Identifying specific vertebrae near the lower back and pelvis can be tricky because some people have unusual bone formations. The authors created a new combined dataset called CTSpinoPelvic1K that links spine and pelvic images with annotations for ribs and thigh bones, all aligned in one coordinate system. This helps determine which vertebra is which based on local bone features alone, rather than counting them from the neck down. Their dataset supports accurate study and surgical planning related to complex spinal and pelvic anatomy.
What this means in practice
- •For radiology teams: Use combined spine and pelvic CT labels to classify vertebrae in patients with complex lumbosacral anatomy during diagnosis and planning.
- •For medical device developers: Develop more accurate surgical planning tools that integrate spine-pelvis imaging for patients with anomalous vertebrae.$Commercial implications: This dataset enables product development for surgical navigation systems that handle variable spinal anatomies accurately.
Authors
Gregory Schwing, Ashley Schehr, Annika Tekumulla, Margret Khoushi, Ryan Christian, Dane Hubers, Faris Mahjoub, Hassan Saad, Mia Sooch, Sathyagopal Siddapureddy, Michael McLellan, Jerick Kim, Miraziz Ismoilov, Nizar Alnabahneh
Abstract
Purpose: A vertebra at the lumbosacral junction is named by counting caudally from C2 on whole-spine imaging, but a lumbar case is planned on lumbar-only imaging (T12 to S1), without C2. Abdominopelvic CT holds that span plus the lowest ribs and pelvis. Where a lumbosacral transitional vertebra (LSTV) alters the count, the local anatomy is ambiguous: four rib-free vertebrae may be an L1 with a lumbar rib or an L5 assimilated to the sacrum, and six may be a sixth lumbar vertebra, a T12 with aplastic ribs, or a lumbarized S1. CTSpinoPelvic1K asks whether local morphology resolves it without the count. CTSpine1K's vertebrae and CTPelvic1K's pelvis covered these patients but were never joined; this release joins them on one series and adds the bones neither had. It provides 802 CT records with per-level ribs and femora, levels anchored on the lowest rib-bearing vertebra and S1, and classes for L6, T13, a separate S1 and lumbar ribs, so anomalies are recorded as such. Acquisition and Validation Methods: Records pair CTSpine1K and CTPelvic1K labels on each patient's bone-richest series under a VerSe-native scheme. Validation covered geometric invariants (802/802 pass), rib-vertebra incidence across 5,749 ribs (0.035% offset), and spinopelvic measures matching published values. Data Format and Usage Notes: NIfTI image/label pairs with patient-grouped LSTV-stratified five-fold splits and a loader; archived at https://doi.org/10.5281/zenodo.22139642. Potential Applications: Classifying a vertebra from local features; updating cadaveric morphometry; spinopelvic assessment; opportunistic screening; and, absent a public preoperative lumbar cohort, surgical planning research (377 records prone). Limitations: thoracic ground truth is field-of-view limited; postural angles supine; no held-out test set; ribs are triaged-review pseudolabels; Castellvi grades two-reader consensus on 33 records.