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Introduction: Osteochondromas are benign tumors that arise primarily in the metaphyseal region of long bones. The malignant transformation rate is estimated to be less than 1% and 1–3% in solitary and multiple osteochondromas, respectively. Transformation to osteosarcoma is very rare. Little information is available on treatment or outcome. A rare case of osteosarcoma arising from hereditary multiple osteochondromas of the right iliac bone is reported. Case Presentation: A 66-year-old woman presented with recurrent right abdominal pain. Computed tomography (CT) showed a mass protruding into the pelvic cavity, 9 cm × 7 cm × 7 cm, with bone destruction and internal calcification in the right iliac bone. A CT-guided biopsy was performed, and the diagnosis was osteosarcoma. After one course of chemotherapy with doxorubicin and ifosfamide, extensive resection of the tumor was performed. The pathology showed proliferation of highly pleomorphic dysplastic cells with bone formation inside the tumor just below the osteochondroma tissue, which led to the diagnosis of osteosarcoma arising from the osteochondroma. Three years after surgery, there was no evidence of recurrence or metastasis, and the patient was able to walk unassisted. Conclusion: A case of osteosarcoma arising from an iliac lesion of hereditary multiple osteochondromas was described. Although no recurrence or metastasis has been observed 3 years after surgery, further follow-up is necessary due to the short time after surgery.

Abstract Background Prompt histopathological diagnosis with accuracy is required for soft tissue sarcomas (STSs) which are still challenging. In addition, the advances in artificial intelligence (AI) along with the development of pathology slides digitization may empower the demand for the prediction of behavior of STSs. In this article, we explored the application of deep learning for prediction of prognosis from histopathological images in patients with STS. Methods Our retrospective study included a total of 35 histopathological slides from patients with STS. We trained Inception v3 which is proposed method of convolutional neural network based survivability estimation. F1 score which identify the accuracy and area under the receiver operating characteristic curve (AUC) served as main outcome measures from a 4‐fold validation. Results The cohort included 35 patients with a mean age of 64 years, and the mean follow‐up period was 34 months (2–66 months). Our deep learning method achieved AUC of 0.974 and an accuracy of 91.9% in predicting overall survival. Concerning with the prediction of metastasis‐free survival, the accuracy was 84.2% with the AUC of 0.852. Conclusion AI might be used to help pathologists with accurate prognosis prediction. This study could substantially improve the clinical management of patients with STS.

ALK-positive histiocytosis is an emerging histiocytic entity that can involve a single organ or multiple organs. This disease frequently involves the central nervous system, and the importance of immunohistochemical and genetic analyses is emphasized for the accurate diagnosis of this rare entity. However, radiological findings of this disease have not been sufficiently described. Here, we report a case of a 3-year-old boy with ALK-positive histiocytosis with systemic masses that was identified to harbor KIF5B-ALK gene fusion.

Infectious granulomas arising in the kidney are rare. However, there are few reports regarding renal granulomas, such as xanthogranulomatous pyelonephritis, sarcoidosis, malakoplakia, and tuberculosis. Here, we report a case of cryptococcal granuloma resembling a locally progressed tumor after percutaneous cryotherapy for renal cell carcinoma. A male patient in his 80s with rheumatoid arthritis underwent computed tomography (CT)-guided cryoablation for biopsy-proven papillary renal cell carcinoma. Follow-up contrast-enhanced CT imaging obtained 4 months after ablation confirmed an enhanced mass on the edge of the ablation zone. There were no symptoms related to the mass. This mass was radiologically diagnosed as local tumor progression and treated with repeated cryoablation. Percutaneous biopsy of the mass was performed immediately after the second cryoablation, and the mass was pathologically diagnosed as granuloma related to Cryptococcus infection. The patient was administered antifungal fluconazole for 1 year with a good outcome.

Abstract Background Hepatocellular carcinoma with osteoclast-like giant cells is very rare and has an extremely poor prognosis. Here, we report a case of hepatocellular carcinoma with osteoclast-like giant cells that had a relatively better prognosis. Case presentation A 70-year-old Japanese man with hepatitis B virus-related liver cirrhosis was admitted to our hospital for the treatment of recurrent hepatocellular carcinoma. At the age of 60 years, he was first diagnosed as having hepatocellular carcinoma in the right lobe (9 cm in diameter), and liver resection of segment 7/8 was performed. Histological findings showed well-differentiated hepatocellular carcinoma. Since then, imaging studies have been performed every 3 or 4 months. One year later, hepatocellular carcinoma recurred in the lateral segment, and radiofrequency ablation was performed. Nine years after the first presentation, hepatocellular carcinoma recurrences were detected in the caudate lobe and segment 5 by imaging studies. Surgical resection of the caudate lobe was performed, and ultrasonography-guided radiofrequency ablation was subsequently performed for the segment 5 tumor. The resected tumor was simple nodular, well-differentiated HCC; it measured 21 × 21 mm and contained many osteoclast-like giant cells. As neither vascular nor bile duct invasion was found, we believe that radical resection was achieved. Since then, the hepatocellular carcinoma has not recurred for over a year and a half. Conclusion Hepatocellular carcinoma with osteoclast-like giant cells is very rare and the prognosis is extremely poor, but early detection can lead to a better clinical course.