Wanlim Kim

Background: Although radiographs are the first-line imaging modality, differentiating between neoplastic pathologic fractures and nonpathologic fractures on radiographs can sometimes be challenging. In this study, we aimed to develop and evaluate a deep learning model capable of distinguishing neoplastic pathologic fractures from nonpathologic fractures on hip radiographs to enhance diagnostic accuracy. Methods: This retrospective, multicenter study analyzed anteroposterior hip radiographs from patients who visited the emergency department at 4 different institutions. The deep learning model was trained on, and tested using, data from 338 patients at a single institution and externally validated on data from 488 patients across 3 additional institutions. Results: The model achieved an overall accuracy of 0.880, with a sensitivity of 0.882 and a specificity of 0.879, on the internal test set. It was then externally validated using the data of 488 patients (67 with neoplastic pathologic fracture and 421 with nonpathologic fracture) from institutions separate from where the model was developed. The model achieved an overall accuracy of 0.848, sensitivity of 0.910, and specificity of 0.786. Its performance was comparable with that of general orthopaedic surgeons. Conclusions: The developed deep learning model is a reliable and valid tool for distinguishing neoplastic pathologic fractures from nonpathologic fractures on hip radiographs. It has the potential to assist orthopaedic surgeons in resource-limited settings, where optimizing the interpretation of radiographs is critical for patient care. The model is publicly available at https://pathfxdx.org. Level of Evidence: Diagnostic Level III . See Instructions for Authors for a complete description of levels of evidence.

Background/Objectives: Denosumab has been considered effective for downstaging giant cell tumor of bone (GCTB), implying that it lowers the Campanacci grade rather than reducing tumor size. Preoperative tumor shrinkage holds therapeutic value by decreasing surgical complications. While previous studies have observed lesion shrinkage in some patients, no study has identified the types of patients likely to show treatment response. Thus, we sought to identify the clinical factors associated with post-denosumab GCTB size reduction. Methods: The data for 45 GCTB patients (29 females [64%], 16 males [36%], median age 32 years [range: 17–65]) who received denosumab were analyzed. Lesions were in the extremities (n = 25, 56%) or spinopelvic region (n = 20, 44%). Ten (22%) were recurrent. Lesion size reduction was assessed using two criteria: a ≥5% and a ≥5 mm decrease in the longest diameter. Univariate analyses were conducted for all variables, and those found to be significant were subjected to multivariate analyses. In addition, multicollinearity was evaluated. Subgroup analyses were performed based on lesion location and recurrence status. Results: Campanacci grade III predicted proportional shrinkage (≥5%) in all patients (OR 4.819, 95% CI 1.121–20.714) and in extremity (OR 11.171, 95% CI 1.023–122.014) and primary lesions (OR 5.781, 95% CI 1.181–28.297), and aneurysmal bone cyst (ABC)-like change was associated with absolute shrinkage (≥5 mm) in all patients (OR 8.734, 95% CI 1.159–65.845) and primary lesions (OR 11.936, 95% CI 1.074–132.69). The longest tumor diameter of ≥7 cm predicted absolute shrinkage in all patients (OR 12.380, 95% CI 1.038–147.694) and for spinopelvic lesions (OR 20, 95% CI 1.676–238.63). Conclusions: ABC-like change, Campanacci grade III, and the longest tumor diameter might predict post-denosumab GCTB shrinkage in all patients, though shrinkage varies with lesion location and recurrence status. These factors could help clinicians tailor treatment strategies in different settings. Further research is needed to explore how clinical factors pharmacologically influence denosumab-induced GCTB shrinkage.

Aims: This study aimed to analyze the accuracy and errors associated with 3D-printed, patient-specific resection guides (3DP-PSRGs) used for bone tumour resection. Methods: We retrospectively reviewed 29 bone tumour resections that used 3DP-PSRGs based on 3D CT and 3D MRI. We evaluated the resection amount errors and resection margin errors relative to the preoperative plans. Guide-fitting errors and guide distortion were evaluated intraoperatively and one month postoperatively, respectively. We categorized each of these error types into three grades (grade 1, < 1 mm; grade 2, 1 to 3 mm; and grade 3, > 3 mm) to evaluate the overall accuracy. Results: The maximum resection amount error was 2 mm. Out of 29 resection amount errors, 15 (51.7%) were grade 1 errors and 14 (38.3%) were grade 2 errors. Complex resections were associated with higher-grade resection amount errors (p < 0.001). The actual resection margins correlated significantly with the planned margins; however, there were some discrepancies. The maximum guide-fitting error was 3 mm. There were 22 (75.9%), five (17.2%), and two (6.9%) grade 1, 2, and 3 guide-fitting errors, respectively. There was no significant association between complex resection and fitting error grades. The guide distortion after one month in all patients was rated as grade 1. Conclusion: In terms of the accurate resection amount according to the preoperative planning, 3DP-PSRGs can be a viable option for bone tumour resection. However, 3DP-PSRG use may be associated with resection margin length discrepancies relative to the planned margins. Such discrepancies should be considered when determining surgical margins. Therefore, a thorough evaluation of the preoperative imaging and surgical planning is still required, even if 3DP-PSRGs are to be used. Cite this article: Bone Joint J 2023;105-B(2):190–197.

Purpose: To evaluate the osseous anatomy of the proximal femur extracted from a 3D-MRI volumetric interpolated breath-hold (VIBE) sequence using either a Dixon or water excitation (WE) fat suppression method, and to measure the overall difference using CT as a reference standard. Material and methods: This retrospective study reviewed imaging of adult patients with hip pain who underwent 3D hip MRI and CT. A semi-automatically segmented CT model served as the reference standard, and MRI segmentation was performed manually for each unilateral hip joint. The differences between Dixon-VIBE-3D-MRI vs. CT, and WE-VIBE-3D-MRI vs. CT, were measured. Equivalence tests between Dixon-VIBE and WE-VIBE models were performed with a threshold of 0.1 mm. Bland–Altman plots and Lin’s concordance-correlation coefficient were used to analyze the agreement between WE and Dixon sequences. Subgroup analyses were performed for the femoral head/neck, intertrochanteric, and femoral shaft areas. Results: The mean and maximum differences between Dixon-VIBE-3D-MRI vs. CT were 0.2917 and 3.4908 mm, respectively, whereas for WE-VIBE-3D-MRI vs. CT they were 0.3162 and 3.1599 mm. The mean differences of the WE and Dixon methods were equivalent (P = 0.0292). However, the maximum difference was not equivalent between the two methods and it was higher in WE method. Lin’s concordance-correlation coefficient showed poor agreement between Dixon and WE methods. The mean differences between the CT and 3D-MRI models were significantly higher in the femoral shaft area (P = 0.0004 for WE and P = 0.0015 for Dixon) than in the other areas. The maximum difference was greatest in the intertrochanteric area for both techniques. Conclusion: The difference between 3D-MR and CT models were acceptable with a maximal difference below 3.5mm. WE and Dixon fat suppression methods were equivalent. The mean difference was highest at the femoral shaft area, which was off-center from the magnetization field.

Introduction Pathological femoral fracture (PFF) after radiation therapy (RT) for soft tissue tumor is a debilitating complication with a high rate of nonunion that requires multiple subsequent procedures and hindrance of functional activity. We aimed to evaluate healing rate after repeated internal fixation in a case series of PFF after RT. Materials and methods We retrospectively reviewed the records of patients who had PFF after RT and were treated at our center between 2007 and 2018. We analyzed our surgical protocols and fracture healing rate. Interpretation We identified and analyzed a total of seven patients (six females and one male) whose mean age at fracture was 58 years. Primary tumors consisted of soft tissue sarcoma (n = 5), melanoma (n = 1), and desmoid tumor (n = 1). All primary tumors were treated with surgical excision and adjuvant RT. The mean follow-up duration after fracture was 33 months (range, 16–58). At the last follow-up, five out of seven fractures had completely healed, and two lesions showed delayed union at 15 and 16 months, respectively. Among the five complete unions, one fracture was healed after the first fixation. The remaining four lesions were treated with second internal fixation due to nonunion/metal failure or delayed union. The mean time to radiologic healing after the last fixation was 6.8 months (range, 5–8). Conclusions Our results suggest that bones within the RT field retain healing capacities, and that repeated internal fixation may be a viable option for the treatment of PFF after RT.

Background and Objectives: The propeller flap is a reliable option for reconstruction after soft tissue sarcoma resection. However, some parts of the resection margin may move away from its original position during flap rotation and thus can be excluded from the clinical target volume of adjuvant radiotherapy. This study aimed to evaluate local recurrence after soft tissue sarcoma resection with propeller flap or free flap reconstruction.Methods: Patients who underwent resection of soft tissue sarcoma followed by a free flap or propeller flap reconstruction and adjuvant radiotherapy at a single institution were retrospectively reviewed.Results: The 1‐ and 3‐year local control rates were 94.6% and 88.6% in the free flap group vs 90.6% and 87.5% in the propeller flap group, without statistical significance. There were no statistically significant differences in 5‐year local recurrence‐free survival (88.6% vs 87.5%) and disease‐free survival (82.5% vs 74.8%) between the groups.Conclusions: Although there was no significant difference in local control and disease‐free survival rates between propeller flap and free flap reconstruction after soft tissue sarcoma resection, a multidisciplinary approach is needed to obtain surgical information for determining the accurate clinical target volume of adjuvant radiotherapy and the area for meticulous follow‐up postoperatively.

The relationship between arthritis or repetitive stress injuries (RSIs) in thumbs and rapidly increasing hours of smartphone usage is not fully elucidated. We evaluated axial joint reaction forces (AJRFs) and thumb torques in 19 healthy subjects performing typical smartphone tasks, which included tapping, tap game, and swiping. We measured force and torque when a subject tapped or swiped the panel of the smartphone and analyzed the motions of each joint using surface markers and motion capture systems. We calculated AJRFs and torques on each thumb joint using inverse dynamics. The results were then compared with representative activities such as computer keyboard typing and handwriting. The mean AJRFs/torques at the thumb carpometacarpal joint (CMCJ) while tapping the smartphone and tap gaming were 12.5 N/95.5 N mm and 21.1 N/187.21 N mm, respectively. AJRFs and torques were significantly higher during tap gaming activities than during simple tapping subtasks (p = 0.003 and p < 0.001, respectively). Compared with those during computer keyboard typing, the mean AJRFs and torques at the CMCJ during smartphone tapping was 3 (p = 0.075) and 1.4 times (p = 0.680) larger, respectively. Considering the rapidly increasing dependency on smartphones in our daily lives, long‐term exposure of the thumb to repetitive AJRFs and torques may lead to an acceleration of arthritis or aggravation of RSIs in thumbs. © 2019 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 37:2437–2444, 2019

Systemic inflammation plays a critical role in cancer progression and oncologic outcomes in cancer patients. We investigated whether preoperative inflammatory biomarkers, including C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), and neutrophil to lymphocyte ratio (NLR), could be surrogate biomarkers for predicting overall survival (OS) in soft tissue sarcoma (STS) patients treated with surgery and postoperative radiotherapy. A series of 99 patients who presented with localized extremity STS were retrospectively reviewed. The preoperative CRP levels, ESR, and NLR were evaluated for associations with OS, disease-free survival (DFS), local recurrence-free survival (LRFS), and distant metastasis-free survival (DMFS). Cutoff values for CRP, ESR, and NLR were derived from receiver-operating characteristic curve analysis. Elevated CRP (> 0.14 mg/dL), ESR (> 15 mm/h), and NLR (> 1.95) levels were seen in 33, 44, and 45 patients, respectively. Of these three inflammatory biomarkers, elevated CRP and ESR were associated with a poorer OS (CRP: P = 0.050; ESR: P = 0.001), DFS (CRP: P = 0.023; ESR: P = 0.003), and DMFS (CRP: P = 0.015; ESR: P = 0.001). By multivariate analysis, an elevated ESR was found to be an independent prognostic factor for OS (HR 3.580, P = 0.025) and DMFS (HR 3.850, P = 0.036) after adjustment for other established prognostic factors. The preoperative ESR level is a simple and useful surrogate biomarker for predicting survival outcomes in STS patients and might improve the identification of high-risk patients of tumor relapse in clinical practice.

Background and Objectives: Prognostic factors predictive of postmetastasis survival (PMS) in metastatic osteosarcoma are poorly understood. Our aims were to evaluate PMS in patients with high‐grade osteosarcoma in extremities, and to identify prognostic factors related to PMS.Methods: A retrospective review of data for 126 patients with metastatic osteosarcoma was conducted. The study population consisted of 70 men and 56 women, with a mean age of 21 years (range: 4‐75 years). The mean postmetastasis follow‐up period was 37 months (range: 1‐245 months).Results: The 5‐year PMS rate was 31% and median PMS duration was 22 months. In the multivariate analyses, no metastasectomy (P < 0.001), local recurrence prior to metastasis (P = 0.016), extrapulmonary metastasis (P = 0.006), and poor histologic response to preoperative chemotherapy (P = 0.047) were significant poor prognostic factors. The 5‐year PMS without any negative prognostic factor was 60.2%; with one factor, 31.6%; and with more than two factors, 3.6%.Conclusions: PMS in osteosarcoma patients was influenced by primary tumor‐related factors such as histologic response to chemotherapy, as well as metastasis‐related factors such as complete metastasectomy and metastasis site. A certain group of patients without such poor prognostic factors could be cured even after the development of metastasis.