title: Resources Required for Semi-Automatic Volumetric Measurements in Metastatic Chordoma: Is Potentially Improved Tumor Burden Assessment Worth the Time Burden?
abstract: The Response Evaluation Criteria in Solid Tumors (RECIST) is the current standard for assessing therapy response in patients with malignant solid tumors; however, volumetric assessments are thought to be more representative of actual tumor size and hence superior in predicting patient outcomes. We segmented all primary and metastatic lesions in 21 chordoma patients for comparison to RECIST. Primary tumors were segmented on MR and validated by a neuroradiologist. Metastatic lesions were segmented on CT and validated by a general radiologist. We estimated times for a research assistant to segment all primary and metastatic chordoma lesions using semi-automated volumetric segmentation tools available within our PACS (v12.0, Carestream, Rochester, NY), as well as time required for radiologists to validate the segmentations. We also report success rates of semi-automatic segmentation in metastatic lesions on CT and time required to export data. Furthermore, we discuss the feasibility of volumetric segmentation workflow in research and clinical settings. The research assistant spent approximately 65 h segmenting 435 lesions in 21 patients. This resulted in 1349 total segmentations (average 2.89 min per lesion) and over 13,000 data points. Combined time for the neuroradiologist and general radiologist to validate segmentations was 45.7 min per patient. Exportation time for all patients totaled only 6 h, providing time-saving opportunities for data managers and oncologists. Perhaps cost-neutral resource reallocation can help acquire volumes paralleling our example workflow. Our results will provide researchers with benchmark resources required for volumetric assessments within PACS and help prepare institutions for future volumetric assessment criteria.
authors.affiliation: Laboratory of Tumor Immunology and Biology, CCR, NCI, NIH, Bethesda, MD, USA. kfenerty@iupui.edu.
authors.forename: Kathleen E
authors.initials: KE
authors.lastname: Fenerty
authors.affiliation: Department of Radiology and Imaging Sciences, Clinical Center, NIH, Bethesda, MD, USA.
authors.forename: Nicholas J
authors.initials: NJ
authors.lastname: Patronas
authors.affiliation: Laboratory of Tumor Immunology and Biology, CCR, NCI, NIH, Bethesda, MD, USA.
authors.forename: Christopher R
authors.initials: CR
authors.lastname: Heery
authors.affiliation: Genitourinary Malignancies Branch, CCR, NCI, NIH, Bethesda, MD, USA.
authors.forename: James L
authors.initials: JL
authors.lastname: Gulley
authors.affiliation: Department of Radiology and Imaging Sciences, Clinical Center, NIH, Bethesda, MD, USA.
authors.forename: Les R
authors.initials: LR
authors.lastname: Folio
mesh_terms: D002817:Chordoma / Q000000981:diagnostic imaging* / Q000473:pathology / Q000556:secondary; D003952:Diagnostic Imaging / Q000706:statistics & numerical data*; D006801:Humans; D012189:Retrospective Studies; D013997:Time Factors; D047368:Tumor Burden
keywords: Clinical oncology; Efficiency; PACS; Radiology workflow; Segmentation