153 related articles for article (PubMed ID: 36074057)
41. Novel nomograms to predict lymph node metastasis and liver metastasis in patients with early colon carcinoma.
Yan Y; Liu H; Mao K; Zhang M; Zhou Q; Yu W; Shi B; Wang J; Xiao Z
J Transl Med; 2019 Jun; 17(1):193. PubMed ID: 31182111
[TBL] [Abstract][Full Text] [Related]
42. Serum microRNA expression levels can predict lymph node metastasis in patients with early-stage cervical squamous cell carcinoma.
Chen J; Yao D; Li Y; Chen H; He C; Ding N; Lu Y; Ou T; Zhao S; Li L; Long F
Int J Mol Med; 2013 Sep; 32(3):557-67. PubMed ID: 23799609
[TBL] [Abstract][Full Text] [Related]
43. Postoperative nomogram predicting risk of recurrence after radical hysterectomy for early-stage cervical cancer.
Kim MK; Jo H; Kong HJ; Kim HC; Kim JW; Kim YM; Song YS; Kang SB; Mok JE; Lee HP
Int J Gynecol Cancer; 2010 Dec; 20(9):1581-6. PubMed ID: 21370600
[TBL] [Abstract][Full Text] [Related]
44. Nomogram with potential clinical use to predict lymph node metastasis in endometrial cancer patients diagnosed incidentally by postoperative pathological assessment.
Taşkın S; Şükür YE; Varlı B; Koyuncu K; Seval MM; Ateş C; Yüksel S; Güngör M; Ortaç F
Arch Gynecol Obstet; 2017 Oct; 296(4):803-809. PubMed ID: 28762064
[TBL] [Abstract][Full Text] [Related]
45. A machine learning-based prediction model of pelvic lymph node metastasis in women with early-stage cervical cancer.
Monthatip K; Boonnag C; Muangmool T; Charoenkwan K
J Gynecol Oncol; 2024 Mar; 35(2):e17. PubMed ID: 37921601
[TBL] [Abstract][Full Text] [Related]
46. Survival of women with microinvasive adenocarcinoma of the cervix is not improved by radical surgery.
Bean LM; Ward KK; Plaxe SC; McHale MT
Am J Obstet Gynecol; 2017 Sep; 217(3):332.e1-332.e6. PubMed ID: 28522318
[TBL] [Abstract][Full Text] [Related]
47. Incidence and distribution pattern of pelvic and paraaortic lymph node metastasis in patients with Stages IB, IIA, and IIB cervical carcinoma treated with radical hysterectomy.
Sakuragi N; Satoh C; Takeda N; Hareyama H; Takeda M; Yamamoto R; Fujimoto T; Oikawa M; Fujino T; Fujimoto S
Cancer; 1999 Apr; 85(7):1547-54. PubMed ID: 10193945
[TBL] [Abstract][Full Text] [Related]
48. Isolated para-aortic lymph node metastasis in FIGO stage IA2-IB2 carcinoma of the cervix: Revisiting the role of surgical assessment.
Del Carmen MG; Pareja R; Melamed A; Rodriguez J; Greer A; Clark RM; Rice LW
Gynecol Oncol; 2018 Sep; 150(3):406-411. PubMed ID: 30017539
[TBL] [Abstract][Full Text] [Related]
49. Development and validation of a preoperative nomogram to predict lymph node metastasis in patients with bladder urothelial carcinoma.
Ji J; Yao Y; Sun L; Yang Q; Zhang G
J Cancer Res Clin Oncol; 2023 Sep; 149(12):10911-10923. PubMed ID: 37318590
[TBL] [Abstract][Full Text] [Related]
50. Use of Nomogram to Predict the Risk of Lymph Node Metastasis among Patients with Cervical Adenocarcinoma.
Tian Y; Hao Y; Liu Q; Li R; Mao Z; Jiang N; Wang B; Zhang W; Zhang X; Cui B
J Immunol Res; 2022; 2022():6816456. PubMed ID: 36052281
[TBL] [Abstract][Full Text] [Related]
51. RESOLVE-DWI-based deep learning nomogram for prediction of normal-sized lymph node metastasis in cervical cancer: a preliminary study.
Qian W; Li Z; Chen W; Yin H; Zhang J; Xu J; Hu C
BMC Med Imaging; 2022 Dec; 22(1):221. PubMed ID: 36528577
[TBL] [Abstract][Full Text] [Related]
52. Nomograms for intraoperative prediction of lymph node metastasis in clinical stage IA lung adenocarcinoma.
Li F; Zhai S; Fu L; Yang L; Mao Y
Cancer Med; 2023 Jul; 12(13):14360-14374. PubMed ID: 37212495
[TBL] [Abstract][Full Text] [Related]
53. Combination of squamous cell carcinoma-antigen, carcinoembryonic antigen, and carbohydrate antigen 19-9 predicts positive pelvic lymph nodes and parametrial involvement in early stage squamous cell carcinoma of the uterine cervix.
Ikeda S; Yoshimura K; Onda T; Kasamatsu T; Kato T; Ishikawa M; Sasajima Y; Tsuda H
J Obstet Gynaecol Res; 2012 Oct; 38(10):1260-5. PubMed ID: 22563932
[TBL] [Abstract][Full Text] [Related]
54. Tumor Size at Magnetic Resonance Imaging Association With Lymph Node Metastasis and Lymphovascular Space Invasion in Resectable Cervical Cancer: A Multicenter Evaluation of Surgical Specimens.
Chen XL; Chen GW; Xu GH; Ren J; Li ZL; Pu H; Li H
Int J Gynecol Cancer; 2018 Oct; 28(8):1545-1552. PubMed ID: 30044321
[TBL] [Abstract][Full Text] [Related]
55. Surgical-pathologic risk factors of pelvic lymph node metastasis in stage Ib1-IIb cervical cancer.
Li D; Cai J; Kuang Y; Cao J; Wang Z
Acta Obstet Gynecol Scand; 2012 Jul; 91(7):802-9. PubMed ID: 22486458
[TBL] [Abstract][Full Text] [Related]
56. Multivariate analysis of histopathologic prognostic factors for invasive cervical cancer treated with radical hysterectomy and systematic retroperitoneal lymphadenectomy.
Takeda N; Sakuragi N; Takeda M; Okamoto K; Kuwabara M; Negishi H; Oikawa M; Yamamoto R; Yamada H; Fujimoto S
Acta Obstet Gynecol Scand; 2002 Dec; 81(12):1144-51. PubMed ID: 12519111
[TBL] [Abstract][Full Text] [Related]
57. Construction and validation of a nomogram for predicting cervical lymph node metastasis in classic papillary thyroid carcinoma.
Feng Y; Min Y; Chen H; Xiang K; Wang X; Yin G
J Endocrinol Invest; 2021 Oct; 44(10):2203-2211. PubMed ID: 33586026
[TBL] [Abstract][Full Text] [Related]
58. Nomogram model based on preoperative serum thyroglobulin and clinical characteristics of papillary thyroid carcinoma to predict cervical lymph node metastasis.
Chang Q; Zhang J; Wang Y; Li H; Du X; Zuo D; Yin D
Front Endocrinol (Lausanne); 2022; 13():937049. PubMed ID: 35909521
[TBL] [Abstract][Full Text] [Related]
59. Nomogram for predicting para-aortic lymph node metastases in patients with cervical cancer.
Wang W; Liu X; Meng Q; Zhang F; Hu K
Arch Gynecol Obstet; 2018 Aug; 298(2):381-388. PubMed ID: 29943132
[TBL] [Abstract][Full Text] [Related]
60. Prognostic Nomograms Predicting Survival in Patients With Locally Advanced Cervical Squamous Cell Carcinoma: The First Nomogram Compared With Revised FIGO 2018 Staging System.
Yang X; An J; Zhang Y; Yang Y; Chen S; Huang M; Wu L
Front Oncol; 2020; 10():591700. PubMed ID: 33194752
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
