caa a22 4500 60549441X CHVBK 20210128100526.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s00261-015-0526-5 doi (NATIONALLICENCE)springer-10.1007/s00261-015-0526-5 Predictive models for lymph node metastases in patients with testicular germ cell tumors [Elektronische Daten] [Yun Mao, Sandeep Hedgire, Duangkamon Prapruttam, Mukesh Harisinghani] Purpose: To develop predictive models for lymph node (LN) metastasis in testicular germ cell tumors. Materials and Methods: 291 patients with testicular germ cell tumors were included, which were divided into seminomatous and nonseminomatous groups. For screening the risk factors for LN metastasis, the tumor-related characteristics (including histopathological information and tumor markers) alpha fetoprotein and the lymph node-related features on CT were compared between metastatic cases and nonmetastatic cases. Two logistic regression models were built for each histological group, one depending on all tumor- and lymph node-related risk factors (Model 1) and another only on tumor-related factors (Model 2). Receivers operating characteristic curves were used to evaluate the predictive abilities of these models. Results: 117 positive nodes/regions were identified in 68 patients, including 51 metastases and 17 occult metastases. Based on the selected independent risk factors, the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of Models 1 and 2 in seminomatous and nonseminomatous groups were (95.5%, 95.3%, 95.3%, 77.8%, and 99.2%), (63.6%, 83.6%, 80.7%, 40.0%, and 93.0%), (93.5%, 94.7%, 94.3%, 89.6%, and 96.8%), and (89.1%, 44.2%, 58.9%, 43.6%, and 89.4%), respectively. Conclusion: Two predictive models for each seminomatous and nonseminomatous testicular tumor were established based on lymph node- and tumor-related risk factors. In patients with tumor and lymph node-related risk factors, regular CT surveillance is likely sufficient for predicting LN status, while in the patients without any tumor and lymph node-related risk factors a long interval-time CT follow-up should be considered. Additionally, right side tumors tend to involve contralateral LNs compared to left side ones. Positive inguinal LNs more frequently occur in patients with a history of groin surgery. Springer Science+Business Media New York, 2015 Testicular cancer nationallicence Lymph nodes nationallicence CT surveillance nationallicence Seminoma nationallicence Nonseminomatous germ cell tumors nationallicence Mao Yun Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Street, Yuanjiagang Yuzhong District, 400016, Chongqing, China aut Hedgire Sandeep Division of Abdominal Imaging and Intervention, Massachusetts General Hospital-Harvard Medical School, 55 Fruit St, 02114, Boston, MA, USA aut Prapruttam Duangkamon Division of Abdominal Imaging and Intervention, Massachusetts General Hospital-Harvard Medical School, 55 Fruit St, 02114, Boston, MA, USA aut Harisinghani Mukesh Division of Abdominal Imaging and Intervention, Massachusetts General Hospital-Harvard Medical School, 55 Fruit St, 02114, Boston, MA, USA aut Abdominal Imaging Springer US; http://www.springer-ny.com 40/8(2015-10-01), 3196-3205 0942-8925 40:8<3196 2015 40 261 https://doi.org/10.1007/s00261-015-0526-5 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00261-015-0526-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Mao Yun Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Street, Yuanjiagang Yuzhong District, 400016, Chongqing, China aut NATIONALLICENCE 700 1- Hedgire Sandeep Division of Abdominal Imaging and Intervention, Massachusetts General Hospital-Harvard Medical School, 55 Fruit St, 02114, Boston, MA, USA aut NATIONALLICENCE 700 1- Prapruttam Duangkamon Division of Abdominal Imaging and Intervention, Massachusetts General Hospital-Harvard Medical School, 55 Fruit St, 02114, Boston, MA, USA aut NATIONALLICENCE 700 1- Harisinghani Mukesh Division of Abdominal Imaging and Intervention, Massachusetts General Hospital-Harvard Medical School, 55 Fruit St, 02114, Boston, MA, USA aut NATIONALLICENCE 773 0- Abdominal Imaging Springer US; http://www.springer-ny.com 40/8(2015-10-01), 3196-3205 0942-8925 40:8<3196 2015 40 261