A model for predicting low probability of nonsentinel lymph node positivity in melanoma patients with a single positive sentinel lymph node

被引:10
|
作者
Bhutiani, Neal [1 ]
Egger, Michael E. [1 ]
Stromberg, Arnold J. [2 ]
Gershenwald, Jeffrey E. [3 ]
Ross, Merrick I. [3 ]
Philips, Prejesh [1 ]
Martin, Robert C. G., II [1 ]
Scoggins, Charles R. [1 ]
McMasters, Kelly M. [1 ]
机构
[1] Univ Louisville, Dept Surg, 550S Jackson St,Ambulatory Care Bldg,2nd Floor, Louisville, KY 40202 USA
[2] Univ Kentucky, Dept Stat, Lexington, KY USA
[3] Univ Texas MD Anderson Canc Ctr, Dept Surg Oncol, Houston, TX 77030 USA
关键词
cutaneous melanoma; nonsentinel lymph nodes; predictive model; sentinel lymph node (SLN) positive melanoma; AMERICAN JOINT COMMITTEE; STAGE-III MELANOMA; CUTANEOUS MELANOMA; MALIGNANT-MELANOMA; SCORING SYSTEM; PHASE-3; TRIAL; BIOPSY; METASTASIS; DISSECTION; IPILIMUMAB;
D O I
10.1002/jso.25193
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundMethodsIdentifying factors associated with nonsentinel lymph node (NSN) metastases in melanoma patients with a single positive sentinel lymph node (SLN) could aid decision making regarding adjuvant therapy. We describe a model for identifying patients with a single positive SLN at low risk for NSN metastasis. Factors associated with NSN metastasis in patients with a primary cutaneous melanoma and a single positive SLN who underwent completion lymph node dissection (CLND) were identified. These factors were used to construct a model for predicting the NSN status. The model was validated using a separate data set from another tertiary referral cancer center. ResultsConclusionsIn the training data set, 111 patients had a single positive SLN. Of these, 27 had positive NSN. SLN tumor deposit diameter 0.75mm (OR, 3.43; P=0.047), age 40 (OR, 12.14; P=0.024), and multifocal SLN tumor deposit location (OR, 4.16; P=0.0096) were independently associated with NSN positivity. Patients with 0 to 1 of these risk factors had a low risk of NSN metastasis in both the training (7.5%) and validation (4.6%) data sets. A combination of patient and SLN tumor burden characteristics can help to identify patients with a single positive SLN who are at a low risk of NSN metastasis.
引用
收藏
页码:922 / 927
页数:6
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