{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T03:14:48Z","timestamp":1784776488383,"version":"3.55.0"},"reference-count":23,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,1,26]],"date-time":"2024-01-26T00:00:00Z","timestamp":1706227200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,1,26]],"date-time":"2024-01-26T00:00:00Z","timestamp":1706227200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82001783"],"award-info":[{"award-number":["82001783"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82371934"],"award-info":[{"award-number":["82371934"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Medical Science and Technology Research Project of Henan Province","award":["LHGJ20220057"],"award-info":[{"award-number":["LHGJ20220057"]}]},{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"crossref","award":["2023YFC2414200"],"award-info":[{"award-number":["2023YFC2414200"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Joint Fund of Henan Province Science and Technology R&D Program","award":["225200810062"],"award-info":[{"award-number":["225200810062"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Imaging"],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p>Node Reporting and Data System (Node-RADS) was proposed and can be applied to lymph nodes (LNs) across all anatomical sites. This study aimed to investigate the diagnostic performance of Node-RADS in cervical cancer patients.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>A total of 81 cervical cancer patients treated with radical hysterectomy and LN dissection were retrospectively enrolled. Node-RADS evaluations were performed by two radiologists on preoperative MRI scans for all patients, both at the LN level and patient level. Chi-square and Fisher\u2019s exact tests were employed to evaluate the distribution differences in size and configuration between patients with and without LN metastasis (LNM) in various regions. The receiver operating characteristic (ROC) and the area under the curve (AUC) were used to explore the diagnostic performance of the Node-RADS score for LNM.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>The rates of LNM in the para-aortic, common iliac, internal iliac, external iliac, and inguinal regions were 7.4%, 9.3%, 19.8%, 21.0%, and 2.5%, respectively. At the patient level, as the NODE-RADS score increased, the rate of LNM also increased, with rates of 26.1%, 29.2%, 42.9%, 80.0%, and 90.9% for Node-RADS scores 1, 2, 3, 4, and 5, respectively. At the patient level, the AUCs for Node-RADS scores\u2009&gt;\u20091, &gt;2, &gt;\u20093, and &gt;\u20094 were 0.632, 0.752, 0.763, and 0.726, respectively. Both at the patient level and LN level, a Node-RADS score\u2009&gt;\u20093 could be considered the optimal cut-off value with the best AUC and accuracy.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>Node-RADS is effective in predicting LNM for scores 4 to 5. However, the proportions of LNM were more than 25% at the patient level for scores 1 and 2, which does not align with the expected very low and low probability of LNM for these scores.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12880-024-01205-8","type":"journal-article","created":{"date-parts":[[2024,1,26]],"date-time":"2024-01-26T10:02:24Z","timestamp":1706263344000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Performance of node reporting and data system (node-RADS): a preliminary study in cervical cancer"],"prefix":"10.1186","volume":"24","author":[{"given":"Qingxia","family":"Wu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianghua","family":"Lou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinjin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linxiao","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingxia","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaping","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuan","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meiyun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,1,26]]},"reference":[{"key":"1205_CR1","doi-asserted-by":"publisher","first-page":"287","DOI":"10.3322\/caac.21663","volume":"71","author":"AB Olawaiye","year":"2021","unstructured":"Olawaiye AB, Baker TP, Washington MK, Mutch DG. The new (Version 9) American Joint Committee on Cancer tumor, node, metastasis staging for cervical cancer. CA A Cancer J Clin. 2021;71:287\u201398.","journal-title":"CA A Cancer J Clin"},{"key":"1205_CR2","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1002\/ijgo.12749","volume":"145","author":"N Bhatla","year":"2019","unstructured":"Bhatla N, Berek JS, Cuello Fredes M, Denny LA, Grenman S, Karunaratne K, et al. Revised FIGO staging for carcinoma of the cervix uteri. Int J Gynecol Obstet. 2019;145:129\u201335.","journal-title":"Int J Gynecol Obstet"},{"key":"1205_CR3","doi-asserted-by":"publisher","first-page":"64","DOI":"10.6004\/jnccn.2019.0001","volume":"17","author":"W-J Koh","year":"2019","unstructured":"Koh W-J, Abu-Rustum NR, Bean S, Bradley K, Campos SM, Cho KR, et al. Cervical Cancer, Version 3.2019, NCCN Clinical Practice guidelines in Oncology. J Natl Compr Canc Netw. 2019;17:64\u201384.","journal-title":"J Natl Compr Canc Netw"},{"key":"1205_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-023-09597-x","author":"S Adham","year":"2023","unstructured":"Adham S, Ferri M, Lee SY, Larocque N, Alwahbi OA, Ruo L, et al. Pancreatic ductal adenocarcinoma (PDAC) regional nodal disease at standard lymphadenectomy: is MRI accurate for identifying node-positive patients? Eur Radiol. 2023. https:\/\/doi.org\/10.1007\/s00330-023-09597-x.","journal-title":"Eur Radiol"},{"key":"1205_CR5","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1148\/radiol.14132921","volume":"273","author":"HC Thoeny","year":"2014","unstructured":"Thoeny HC, Froehlich JM, Triantafyllou M, Huesler J, Bains LJ, Vermathen P, et al. Metastases in normal-sized pelvic lymph nodes: detection with diffusion-weighted MR Imaging. Radiology. 2014;273:125\u201335.","journal-title":"Radiology"},{"key":"1205_CR6","doi-asserted-by":"publisher","first-page":"5272","DOI":"10.1007\/s00330-017-4873-1","volume":"27","author":"Q Wu","year":"2017","unstructured":"Wu Q, Zheng D, Shi L, Liu M, Wang M, Shi D. Differentiating metastatic from nonmetastatic lymph nodes in cervical cancer patients using monoexponential, biexponential, and stretched exponential diffusion-weighted MR imaging. Eur Radiol. 2017;27:5272\u20139.","journal-title":"Eur Radiol"},{"key":"1205_CR7","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1186\/s12957-020-01951-3","volume":"18","author":"FN Loch","year":"2020","unstructured":"Loch FN, Asbach P, Haas M, Seeliger H, Beyer K, Schineis C, et al. Accuracy of various criteria for lymph node staging in ductal adenocarcinoma of the pancreatic head by computed tomography and magnetic resonance imaging. World J Surg Onc. 2020;18:213.","journal-title":"World J Surg Onc"},{"key":"1205_CR8","doi-asserted-by":"publisher","first-page":"382","DOI":"10.5152\/dir.2020.19365","volume":"26","author":"SH Kim","year":"2020","unstructured":"Kim SH, Cho SH. Assessment of pelvic lymph node metastasis in FIGO IB and IIA cervical cancer using quantitative dynamic contrast-enhanced MRI parameters. Diagn Interv Radiol. 2020;26:382\u20139.","journal-title":"Diagn Interv Radiol"},{"key":"1205_CR9","doi-asserted-by":"publisher","first-page":"110504","DOI":"10.1016\/j.ejrad.2022.110504","volume":"156","author":"J Ren","year":"2022","unstructured":"Ren J, Li Y, Liu X-Y, Zhao J, He Y-L, Jin Z-Y, et al. Diagnostic performance of ADC values and MRI-based radiomics analysis for detecting lymph node metastasis in patients with cervical cancer: a systematic review and meta-analysis. Eur J Radiol. 2022;156:110504.","journal-title":"Eur J Radiol"},{"key":"1205_CR10","doi-asserted-by":"publisher","first-page":"1048","DOI":"10.1016\/j.acra.2021.08.026","volume":"29","author":"Y Zhang","year":"2022","unstructured":"Zhang Y, Zhang K, Jia H, Fang X, Lin T, Wei C, et al. Feasibility of Predicting Pelvic Lymph Node Metastasis based on IVIM-DWI and texture parameters of the primary lesion and lymph nodes in patients with cervical Cancer. Acad Radiol. 2022;29:1048\u201357.","journal-title":"Acad Radiol"},{"key":"1205_CR11","doi-asserted-by":"crossref","unstructured":"Zhang X. The value of whole-tumor texture analysis of ADC in Predicting the early recurrence of locally advanced cervical squamous cell Cancer treated with concurrent chemoradiotherapy. Front Oncol. 2022;12.","DOI":"10.3389\/fonc.2022.852308"},{"key":"1205_CR12","doi-asserted-by":"publisher","first-page":"1050","DOI":"10.1007\/s00330-012-2681-1","volume":"23","author":"F Kuang","year":"2013","unstructured":"Kuang F, Ren J, Zhong Q, Liyuan F, Huan Y, Chen Z. The value of apparent diffusion coefficient in the assessment of cervical cancer. Eur Radiol. 2013;23:1050\u20138.","journal-title":"Eur Radiol"},{"key":"1205_CR13","doi-asserted-by":"publisher","first-page":"1288","DOI":"10.1007\/s11547-020-01220-z","volume":"125","author":"G Petralia","year":"2020","unstructured":"Petralia G, Summers PE, Agostini A, Ambrosini R, Cianci R, Cristel G, et al. Dynamic contrast-enhanced MRI in oncology: how we do it. Radiol med. 2020;125:1288\u2013300.","journal-title":"Radiol med"},{"key":"1205_CR14","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.radonc.2019.04.035","volume":"138","author":"Q Wu","year":"2019","unstructured":"Wu Q, Wang S, Chen X, Wang Y, Dong L, Liu Z, et al. Radiomics analysis of magnetic resonance imaging improves diagnostic performance of lymph node metastasis in patients with cervical cancer. Radiother Oncol. 2019;138:141\u20138.","journal-title":"Radiother Oncol"},{"key":"1205_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-022-09219-y","author":"J Li","year":"2022","unstructured":"Li J, Yin H, Wang Y, Zhang H, Ma F, Li H, et al. Multiparametric MRI-based radiomics nomogram for early prediction of pathological response to neoadjuvant chemotherapy in locally advanced gastric cancer. Eur Radiol. 2022. https:\/\/doi.org\/10.1007\/s00330-022-09219-y.","journal-title":"Eur Radiol"},{"key":"1205_CR16","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.ymeth.2020.05.022","volume":"188","author":"A Ibrahim","year":"2021","unstructured":"Ibrahim A, Primakov S, Beuque M, Woodruff HC, Halilaj I, Wu G, et al. Radiomics for precision medicine: current challenges, future prospects, and the proposal of a new framework. Methods. 2021;188:20\u20139.","journal-title":"Methods"},{"key":"1205_CR17","doi-asserted-by":"publisher","first-page":"6116","DOI":"10.1007\/s00330-020-07572-4","volume":"31","author":"FHJ Elsholtz","year":"2021","unstructured":"Elsholtz FHJ, Asbach P, Haas M, Becker M, Beets-Tan RGH, Thoeny HC, et al. Introducing the Node Reporting and Data System 1.0 (Node-RADS): a concept for standardized assessment of lymph nodes in cancer. Eur Radiol. 2021;31:6116\u201324.","journal-title":"Eur Radiol"},{"key":"1205_CR18","doi-asserted-by":"publisher","first-page":"580","DOI":"10.3390\/cancers15030580","volume":"15","author":"C Leonardo","year":"2023","unstructured":"Leonardo C, Flammia RS, Lucciola S, Proietti F, Pecoraro M, Bucca B, et al. Performance of Node-RADS Scoring System for a standardized Assessment of Regional Lymph nodes in bladder Cancer patients. Cancers. 2023;15:580.","journal-title":"Cancers"},{"key":"1205_CR19","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1186\/s40644-022-00506-x","volume":"22","author":"H-J Meyer","year":"2022","unstructured":"Meyer H-J, Schnarkowski B, Pappisch J, Kerkhoff T, Wirtz H, H\u00f6hn A-K, et al. CT texture analysis and node-RADS CT score of mediastinal lymph nodes - diagnostic performance in lung cancer patients. Cancer Imaging. 2022;22:75.","journal-title":"Cancer Imaging"},{"key":"1205_CR20","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1038\/s41391-022-00564-z","volume":"26","author":"S Lucciola","year":"2023","unstructured":"Lucciola S, Pisciotti ML, Frisenda M, Magliocca F, Gentilucci A, Del Giudice F, et al. Predictive role of node-rads score in patients with prostate cancer candidates for radical prostatectomy with extended lymph node dissection: comparative analysis with validated nomograms. Prostate Cancer Prostatic Dis. 2023;26:379\u201387.","journal-title":"Prostate Cancer Prostatic Dis"},{"key":"1205_CR21","doi-asserted-by":"publisher","first-page":"916","DOI":"10.1148\/rg.2015140086","volume":"35","author":"B Pa\u00f1o","year":"2015","unstructured":"Pa\u00f1o B, Sebasti\u00e0 C, Ripoll E, Paredes P, Salvador R, Bu\u00f1esch L, et al. Pathways of lymphatic spread in gynecologic malignancies. Radiographics. 2015;35:916\u201345.","journal-title":"Radiographics"},{"key":"1205_CR22","doi-asserted-by":"publisher","first-page":"759","DOI":"10.2214\/ajr.175.3.1750759","volume":"175","author":"WT Yang","year":"2000","unstructured":"Yang WT, Lam WWM, Yu MY, Cheung TH, Metreweli C. Comparison of dynamic helical CT and dynamic MR Imaging in the evaluation of pelvic lymph nodes in cervical carcinoma. Am J Roentgenol. 2000;175:759\u201366.","journal-title":"Am J Roentgenol"},{"key":"1205_CR23","doi-asserted-by":"publisher","first-page":"100","DOI":"10.3892\/or.2021.8051","volume":"45","author":"T Dezen","year":"2021","unstructured":"Dezen T, Rossini R, Spadin M, Da Cunha Andrade C, Schimidt R, Vieira M, et al. Accuracy of MRI for diagnosing pelvic and para\u2013aortic lymph node metastasis in cervical cancer. Oncol Rep. 2021;45:100.","journal-title":"Oncol Rep"}],"container-title":["BMC Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-024-01205-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12880-024-01205-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-024-01205-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,26]],"date-time":"2024-01-26T10:03:16Z","timestamp":1706263396000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedimaging.biomedcentral.com\/articles\/10.1186\/s12880-024-01205-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,26]]},"references-count":23,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["1205"],"URL":"https:\/\/doi.org\/10.1186\/s12880-024-01205-8","relation":{},"ISSN":["1471-2342"],"issn-type":[{"value":"1471-2342","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,26]]},"assertion":[{"value":"1 August 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 January 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 January 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study was performed in accordance with Declaration of Helsinki. This retrospective study was approved by the ethics committee of the Henan Provincial People\u2019s Hospital. The informed consent from patients was waived by the ethics committee of the Henan Provincial People\u2019s Hospital.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"28"}}