卵巢早衰患者血清抑制素B、抗苗勒管激素及性激素水平与子宫动脉血流参数的相关性研究

目的:探讨卵巢早衰(POF)患者血清抑制素B(INHB)、抗苗勒管激素(AMH)及性激素水平与子宫动脉血流参数的相关性。方法:选择2018年5月至2020年5月期间我院收治的126例POF患者(POF组)和同期于我院进行体检的85例健康女性志愿者(对照组)。检测所有研究对象血清INHB、AMH以及促黄体生成素(LH)、促卵泡激素(FSH)、雌二醇(E2)水平,经阴道多普勒超声检测子宫动脉血流参数[收缩期峰值流速(PSV)、舒张末期流速(EDV),血流阻力指数(RI)、搏动指数(PI)]。Pearson相关性分析POF患者血清INHB、AMH、LH、FSH、E2水平与PSV、EDV、RI、PI的相关性。结果:POF组血清INHB、AMH、E2水平、PSV、EDV低于对照组(P<0.05),LH、FSH水平、RI、PI高于对照组(P<0.05)。Pearson相关性分析结果显示POF患者血清INHB、AMH、E2水平与PSV、EDV呈正相关(P<0.05),与RI、PI呈负相关(P<0.05),LH、FSH与PSV、EDV呈负相关(P<0.05),与RI、PI呈正相关(P<0.05)。结论:POF患者血清INHB、AMH、E2水平降低,LH、FSH水平升高,血清INHB、AMH和性激素与子宫动脉血流受限有关。     

彩色多普勒超声对青少年椎动脉型颈椎病的诊断价值

目的:探讨彩色多普勒超声对青少年椎动脉型颈椎病的诊断价值。方法:选择我院2012年2月-2016年1月收治的80例青少年椎动脉型颈椎病患者作为研究组,选择同期100例门诊体检同龄健康者作为对照组,使用Acuson Sequoia 512以及HDI5000彩色多普勒超声仪进行检查,观察两组椎动脉和颈外动脉血流指标,记录椎间段血流参数:包括舒张末流速(EVD)、收缩期峰值流速(PSV)、血流量(Q)和阻力指数(RI)。结果:实验组椎动脉内径、EDV、PSV和血流量(Q)比对照组低(P0.05),实验组阻力指数(RI)比对照组高(P0.05)。结论:彩色多普勒超声对青少年椎动脉型颈椎病患者的血流相关指数检查对该病的诊断具有明显作用,适合在临床上推广应用。     

甲状腺微小癌颈部淋巴结转移超声特征及淋巴结转移危险因素Logistic回归分析

目的:观察甲状腺微小癌(TMC)颈部淋巴结转移的超声特征,分析TMC发生淋巴结转移的危险因素。方法:选择2013年5月~2017年6月经本院手术病理证实的TMC患者197例为研究对象,其中伴颈部淋巴结转移的60例为转移组,无颈部淋巴结转移的137例为非转移组,观察其超声图像特征,采用单因素和多因素Logistic回归分析法分析颈部淋巴结转移的独立危险因素。结果:197例TMC患者共224个病灶,术后病理证实60例(67个病灶)有颈部淋巴结转移,137例(157个病灶)无颈部淋巴结转移,以术后病理诊断结果为金标准,超声诊断TMC颈部淋巴结转移的敏感性为16.67%(10/60),特异性为94.89%(130/137),准确性为71.07%为(140/197),阳性预测值为58.82%(10/17),阴性预测值为72.22%(130/180)。单因素分析显示TMC颈部淋巴结转移与年龄、肿瘤最大径、肿瘤形态、钙化情况有关(P0.05)。多因素Logistic回归分析显示,年龄≤50岁、肿瘤形态不规则、微钙化是TMC颈部淋巴结转移的独立危险因素(P0.05)。结论:超声诊断TMC颈部淋巴结转移的敏感性低,TMC颈部淋巴结转移与年龄、肿瘤形态和钙化情况有关。     

乳腺癌腋窝淋巴结转移患者应用多普勒超声与CT的诊断价值比较

摘要 目的：探讨乳腺癌腋窝淋巴结转移患者应用多普勒超声与CT的诊断价值比较。方法：回顾性分析2017年3月至2019年3月我院接诊的60例经过手术病理证实的乳腺癌患者。比较多普勒超声与128排螺旋CT在乳腺癌腋窝淋巴结转移中的检出率、声像特征比较及两组灵敏度、特异度、准确度。结果：在术后经过病理证实的60例乳腺癌手术患者中,有38例为腋窝淋巴结转移,有22例未腋窝淋巴结转移,在多普勒超声诊断结果对乳腺癌腋窝淋巴结转移诊断中,36例得到确诊,在128排螺旋CT诊断中,30例得到确诊;多普勒超声皮质向心性生长、淋巴结内钙化灶、淋巴结横直径比值及淋巴结边界模糊检出率均显著高于128排螺旋CT检出率,差异显著（P＜0.05）;将病理结果作为金标准。多普勒超声灵敏度、特异度、准确度均比128排螺旋CT结果高,两组方式比较具有显著差异（P＜0.05）。结论：多普勒超声在乳腺癌腋窝淋巴结转移中诊断价值高,可帮助临床提供正确诊断,以选择合适的治疗方案。     

原发性开角型青光眼患者血流变学与血流动力学的相关性

目的:分析原发性开角型青光眼(POAG)患者的血流变学与血流动力学,并探讨两者之间的相关性。方法:收集2015年1月至2016年6月我院收治的43例(51只眼睛)POAG患者为病例组,并于同期随机抽取25例(50只眼睛)健康体检自愿者为对照组,测定两组的血流变学指标如纤维蛋白原、全血比粘度、血浆比粘度水平,采用彩色多普勒超声诊断仪检测两组视网膜中央动脉(CRA)、眼动脉(OA)的频谱,并对比两组血流动力学指标如阻力指数值(RI)、收缩期峰值血流速度(PSV)、舒张末期血流速度(EDV)。结果:病例组的纤维蛋白原、低切、高切的全血比粘度及血浆粘度均高于对照组,差异有统计学意义(P0.05)。病例组CRA、OA的RI水平高于对照组,PSV、EDV水平低于对照组,差异有统计学意义(P0.05)。病例组患者血流变学参数纤维蛋白原、低切、高切的全血比粘度及血浆粘度与血流动力学参数RI呈正相关关系,与PSV、EDV呈负相关关系,差异有统计学意义(P0.05)。结论:POAG患者存在不同程度的血液循环障碍,联合检测血流变学和血流动力学可作为诊断和评估原发性开角型青光眼预后的重要指标。     

甲状腺结节良恶性的彩色多普勒超声特征及其诊断价值分析

目的:研究甲状腺结节良恶性的彩色多普勒超声特征及其诊断价值。方法:选取从2016年3月~2019年2月于我院接受手术治疗的甲状腺疾病患者300例作为研究对象,均予以彩超检查,比较甲状腺良恶性结节的超声特征(主要包括直径、钙化情况、边界、回声、血流状况)。以病理活检结果为金标准,分析彩超诊断甲状腺结节良恶性的敏感性、特异性以及准确度。对比甲状腺良恶性结节的血流分型情况以及各项血流动力学参数。结果:恶性结节超声特征直径≥2 cm、有钙化、边界模糊、无回声/低回声、血流丰富人数占比均高于良性结节(均P<0.05)。以手术病理组织活检结果作为金标准,彩色多普勒超声诊断甲状腺结节的敏感性、特异性以及准确度分别为97.73%、86.11%、96.33%。甲状腺良性结节血流分型为Ⅰ型、Ⅱ型人数占比高于恶性结节,而Ⅲ型、Ⅳ型人数占比低于恶性结节(均P<0.05)。甲状腺良性结节的收缩期峰值血流速度(PSV)、阻力指数(RI)均低于恶性结节,而舒张末期血流速度(EDV)高于恶性结节(均P<0.05)。结论:彩色多普勒超声对甲状腺结节良恶性的鉴别价值较高,且具有较高的敏感性、特异性以及准确度,可为甲状腺良恶性结节的早期诊断、临床治疗提供重要的参考依据。     

经阴道彩色多普勒超声联合lncRNA CCAT1在上皮性卵巢癌诊断中的临床价值

摘要 目的：探讨经阴道彩色多普勒超声联合血清长链非编码 RNA （lncRNA）结直肠相关转录本1（CCAT1）对上皮性卵巢癌的临床诊断价值。方法：以2020年5月至2022年5月本院收治的88例上皮卵巢肿瘤患者为研究对象,依据病理检查结果分为良性组（n=49）和恶性组（n=39）。对所有研究对象进行经阴道彩色多普勒超声检查及lncRNA CCAT1检测。采用受试者特征工作曲线（ROC）评价彩色多普勒超声参数联合血清lncRNA CCAT1对上皮性卵巢癌及其恶性程度的评估价值。结果：恶性组的阻力指数（RI）、搏动指数（PI）低于良性组,收缩期峰值血流速度（PSV）、舒张末期血流速度（EDV）及血清lncRNA CCAT1水平均高于良性组（P<0.05）;恶性组中Ⅲ~Ⅳ期患者的RI、PI低于Ⅰ~Ⅱ期患者,PSV、EDV及血清lncRNA CCAT1水平高于Ⅰ~Ⅱ期患者（P<0.05）。ROC分析结果显示,RI、PI、PSV、EDV及lncRNA CCAT1联合评价上皮性卵巢癌的曲线下面积（AUC）为0.977,联合评估效能均优于各指标单独评估;同时RI、PI、PSV、EDV及lncRNA CCAT1联合评价上皮性卵巢癌恶性程度的AUC为0.979,联合评估效能均优于各指标单独评估。结论：经阴道彩色多普勒超声联合血清lncRNA CCAT1检测对上皮性卵巢癌及其恶性程度均具有一定的评估价值,且各参数联合lncRNA CCAT1评估效能更佳。     

彩色多普勒超声征象联合血清Tg、TSH对甲状腺微小乳头状癌发生颈部淋巴结转移的预测价值

摘要 目的：研究彩色多普勒超声征象联合血清甲状腺球蛋白（Tg）、促甲状腺激素（TSH）对甲状腺微小乳头状癌（PTMC）发生颈部淋巴结转移的预测价值。方法：以回顾性分析法纳入研究人员共102例,均为中南大学湘雅医学院附属海口医院从2017年1月～2022年6月收治的PTMC患者。将其按照是否发生颈部淋巴结转移分成转移组35例及无转移组67例。对比两组彩色多普勒超声征象、血清Tg、TSH水平。以多因素Logistic回归分析明确PTMC发生颈部淋巴结转移的影响因素。通过受试者工作特征（ROC）曲线分析彩色多普勒超声征象以及血清Tg、TSH水平预测PTMC发生颈部淋巴结转移的效能。结果：转移组病灶形状不规则、病灶有微钙化、肿瘤大小≥0.5 cm、紧贴包膜人数占比分别为91.43%、60.00%、40.00%、48.57%,相较于无转移组的74.63%、32.84%、17.91%、23.88%均较高（均P＜0.05）;两组回声、边界、血流征象、FT3、FT4对比差异均不明显（均P＞0.05）;转移组血清Tg、TSH水平相较于无转移组更高（均P＜0.05）。经多因素Logistic回归分析可得：病灶形状不规则、病灶有微钙化以及血清Tg＞2 ng/mL、TSH＞0.5 mIU/L、肿瘤大小≥0.5 cm、紧贴包膜均是PTMC发生颈部淋巴结转移的危险因素（P＜0.05）。经ROC曲线分析发现：彩色多普勒超声征象联合血清Tg、TSH预测PTMC发生颈部淋巴结转移的曲线下面积、灵敏度以及特异度均高于上述指标单独预测。结论：彩色多普勒超声征象联合血清Tg、TSH预测PTMC发生颈部淋巴结转移的价值较高。此外,病灶形状不规则、病灶有微钙化以及血清Tg＞2 ng/mL、TSH＞0.5 mIU/L、肿瘤大小≥0.5 cm、紧贴包膜均是PTMC发生颈部淋巴结转移的危险因素。     

彩色多普勒超声联合监测胎儿脐动脉及大脑中动脉对重度子痫前期患者的临床意义

目的:研究彩色多普勒超声(CDU)联合监测胎儿脐动脉(UA)及大脑中动脉(ACM)对重度子痫前期患者的临床意义。方法:选择从2014年2月到2017年2月在我院分娩的90例重度子痫前期患者作为观察组。另选择同期在我院接受剖宫产分娩的90例健康孕妇作为对照组,比较两组孕妇胎儿UA及ACM的血流阻力指数(RI)、搏动指数(PI)、收缩期和舒张期的血流速度之比(S/D)、新生儿Apgar评分和体重,采用Spearman相关性分析法分析新生儿Apgar评分和体重与胎儿RI、PI和S/D值的相关性。结果:观察组患者胎儿UA的RI、PI和S/D值均明显高于对照组,差异均有统计学意义(P0.05)。观察组患者胎儿ACM的RI、PI和S/D值均明显低于对照组,差异均有统计学意义(P0.05)。观察组患者的新生儿Apgar评分和体重均明显低于对照组,差异均有统计学意义(P0.05)。根据Spearman相关性分析后发现,新生儿Apgar评分和体重与胎儿UA的RI、PI和S/D值均呈负相关(P0.05),而与胎儿ACM的RI、PI和S/D值均呈正相关(P0.05)。结论:CDU联合监测胎儿UA和ACM对于重度子痫前期患者具有重要的临床意义,可评价胎儿在子宫内的生长发育情况以及母婴结局,从而有助于辅助临床诊治工作的进行。     

外周血甲状腺过氧化物酶mRNA与甲状腺乳头状癌转移风险的研究

目的:检测甲状腺乳头状癌(PTC)患者外周血甲状腺过氧化物酶(TPO)m RNA的表达水平,探讨其在预测PTC转移风险中的诊断价值。方法:以术后组织病理学为诊断标准,采用巢式逆转录-聚合酶链反应方法检测41例PTC患者术前外周血TPO m RNA表达阳性率,并分析其与患者临床病理学特征及转移风险的关系。结果:41例PTC患者均行全/近全甲状腺切除术联合颈部淋巴结清扫术,其中伴颈部淋巴结转移16例(39.0%),均无远处转移。将患者按照手术前血清TPO m RNA表达阳性与否分组,尽管2组间表达阳性率在性别、年龄、肿瘤最大径、肿瘤数目无显著差异(P0.05),但伴有颈部淋巴结转移患者的表达阳性率明显高于不伴转移者(68.8%vs 36.0%,P0.05)。对PTC患者进行术后TNM分期与复发危险度分层,TPO m RNA在不同术后分期的组间表达无显著差异(P0.05),但在中、高危组的表达阳性率明显高于低危组(68.8%、66.7%vs 31.8%,P0.05)。结论:外周血TPO m RNA表达水平可能有助于预测PTC转移的风险,有望成为甲状腺癌的分子标志物。     

Lymph Node Ratio for Postoperative Staging of Laryngeal Squamous Cell Carcinoma with Lymph Node Metastasis

Background

Lymph node metastasis has a significant impact on laryngeal cancer prognosis. The role of lymph node ratio (LNR, ratio of metastatic to examined nodes) in the staging of laryngeal cancer was not reported.

Patients and Methods

Records of laryngeal cancer patients with lymph node involvement from Surveillance, Epidemiology, and End Results database (SEER, training set, N = 1963) and Fudan University Shanghai Cancer Center (FDSCC, validating set, N = 27) were analyzed for the prognostic value of LNR. Kaplan–Meier survival estimates, the Log-rank χ² test and Cox proportional hazards model were used for univariate and multivariate analysis. Optimal LNR cutoff points were identified by X-tile.

Results

Optimal LNR cutoff points classified patients into three risk groups R1 (≤0.09), R2 (0.09–0.20) and R3 (>0.20), corresponding to 5-year cause-specific survival and overall survival in SEER patients of 55.1%, 40.2%, 28.8% and 43.1%, 31.5%, 21.8%, 2-year disease free survival and disease specific survival in FDSCC patients of 74.1%, 62.5%, 50.0%, and 67.7%, 43.2%, 25.0%, respectively. R3 stratified more high risk patients than N3 with the same survival rate, and R classification clearly separated N2 patients to 3 risk groups and N1 patients to 2 risk groups (R1–2 and R3).

Conclusions

R classification is a significant prognostic factor of laryngeal cancer and should be used as a complementary staging system of N classification.     

直肠癌的淋巴结转移的危险因素

目的:本研究主要目的为确定直肠癌的淋巴结转移的危险因素。方法:通过对1250例于2004年-2008年行直肠癌根治性切除的患者进行单因素和多因素分析,以确定淋巴结转移相关的危险因素,同时对PT分期和肿瘤大小之间的关系进行了相关性分析。结果:直肠癌患者淋巴结转移发生率为41%。在单因素分析中,患者年龄(P=0.008)、肿瘤大小(P=0.003)、PT分期(P<0.0019)以及分化程度(P<0.001)和淋巴结转移相关。在多因素分析中,年龄(P=0.017,OR=0.988,95%可信区间:0.978-0.998)、PT分期(P<0.001,OR=1.952,95%可信区间:1.656-2.302)和分化程度(P<0.001,OR=3.697,95%可信区间:2.112-6.472)是淋巴结转移的独立因素。结论:在直肠癌相关分析中,肿瘤的大小和PT分期呈正相关。年龄、PT分期和肿瘤分化程度是淋巴结转移的独立因素。在直肠癌中,肿瘤的大小和PT分期呈正相关。     

Intravital Microscopy of the Inguinal Lymph Node

Lymph nodes (LN''s), located throughout the body, are an integral component of the immune system. They serve as a site for induction of adaptive immune response and therefore, the development of effector cells. As such, LNs are key to fighting invading pathogens and maintaining health. The choice of LN to study is dictated by accessibility and the desired model; the inguinal lymph node is well situated and easily supports studies of biologically relevant models of skin and genital mucosal infection.The inguinal LN, like all LNs, has an extensive microvascular network supplying it with blood. In general, this microvascular network includes the main feed arteriole of the LN that subsequently branches and feeds high endothelial venules (HEVs). HEVs are specialized for facilitating the trafficking of immune cells into the LN during both homeostasis and infection. How HEVs regulate trafficking into the LN under both of these circumstances is an area of intense exploration. The LN feed arteriole, has direct upstream influence on the HEVs and is the main supply of nutrients and cell rich blood into the LN. Furthermore, changes in the feed arteriole are implicated in facilitating induction of adaptive immune response. The LN microvasculature has obvious importance in maintaining an optimal blood supply to the LN and regulating immune cell influx into the LN, which are crucial elements in proper LN function and subsequently immune response. The ability to study the LN microvasculature in vivo is key to elucidating how the immune system and the microvasculature interact and influence one another within the LN. Here, we present a method for in vivo imaging of the inguinal lymph node. We focus on imaging of the microvasculature of the LN, paying particular attention to methods that ensure the study of healthy vessels, the ability to maintain imaging of viable vessels over a number of hours, and quantification of vessel magnitude. Methods for perfusion of the microvasculature with vasoactive drugs as well as the potential to trace and quantify cellular traffic are also presented. Intravital microscopy of the inguinal LN allows direct evaluation of microvascular functionality and real-time interface of the direct interface between immune cells, the LN, and the microcirculation. This technique potential to be combined with many immunological techniques and fluorescent cell labelling as well as manipulated to study vasculature of other LNs.     

Isolation of Murine Lymph Node Stromal Cells

Secondary lymphoid organs including lymph nodes are composed of stromal cells that provide a structural environment for homeostasis, activation and differentiation of lymphocytes. Various stromal cell subsets have been identified by the expression of the adhesion molecule CD31 and glycoprotein podoplanin (gp38), T zone reticular cells or fibroblastic reticular cells, lymphatic endothelial cells, blood endothelial cells and FRC-like pericytes within the double negative cell population. For all populations different functions are described including, separation and lining of different compartments, attraction of and interaction with different cell types, filtration of the draining fluidics and contraction of the lymphatic vessels. In the last years, different groups have described an additional role of stromal cells in orchestrating and regulating cytotoxic T cell responses potentially dangerous for the host. Lymph nodes are complex structures with many different cell types and therefore require a appropriate procedure for isolation of the desired cell populations. Currently, protocols for the isolation of lymph node stromal cells rely on enzymatic digestion with varying incubation times; however, stromal cells and their surface molecules are sensitive to these enzymes, which results in loss of surface marker expression and cell death. Here a short enzymatic digestion protocol combined with automated mechanical disruption to obtain viable single cells suspension of lymph node stromal cells maintaining their surface molecule expression is proposed.     

A New Model for Predicting Non-Sentinel Lymph Node Status in Chinese Sentinel Lymph Node Positive Breast Cancer Patients

Background

Our goal is to validate the Memorial Sloan-Kettering Cancer Center (MSKCC) nomogram and Stanford Online Calculator (SOC) for predicting non-sentinel lymph node (NSLN) metastasis in Chinese patients, and develop a new model for better prediction of NSLN metastasis.

Methods

The MSKCC nomogram and SOC were used to calculate the probability of NSLN metastasis in 120 breast cancer patients. Univariate and multivariate analyses were performed to evaluate the relationship between NSLN metastasis and clinicopathologic factors, using the medical records of the first 80 breast cancer patients. A new model predicting NSLN metastasis was developed from the 80 patients.

Results

The MSKCC and SOC predicted NSLN metastasis in a series of 120 patients with an area under the receiver operating characteristic curve (AUC) of 0.688 and 0.734, respectively. For predicted probability cut-off points of 10%, the false-negative (FN) rates of MSKCC and SOC were both 4.4%, and the negative predictive value (NPV) 75.0% and 90.0%, respectively. Tumor size, Kiss-1 expression in positive SLN and size of SLN metastasis were independently associated with NSLN metastasis (p<0.05). A new model (Peking University People''s Hospital, PKUPH) was developed using these three variables. The MSKCC, SOC and PKUPH predicted NSLN metastasis in the second 40 patients from the 120 patients with an AUC of 0.624, 0.679 and 0.795, respectively.

Conclusion

MSKCC nomogram and SOC did not perform as well as their original researches in Chinese patients. As a new predictor, Kiss-1 expression in positive SLN correlated independently with NSLN metastasis strongly. PKUPH model achieved higher accuracy than MSKCC and SOC in predicting NSLN metastasis in Chinese patients.     

Lymph Node Metastases and Prognosis in Left Upper Division Non-Small Cell Lung Cancers: The Impact of Interlobar Lymph Node Metastasis

Background

Left upper division segmentectomy is one of the major pulmonary procedures; however, it is sometimes difficult to completely dissect interlobar lymph nodes. We attempted to clarify the prognostic importance of hilar and mediastinal nodes, especially of interlobar lymph nodes, in patients with primary non-small cell lung cancer (NSCLC) located in the left upper division.

Methods

We retrospectively studied patients with primary left upper lobe NSCLC undergoing surgical pulmonary resection (at least lobectomy) with radical lymphadenectomy. The representative evaluation of therapeutic value from the lymph node dissection was determined using Sasako’s method. This analysis was calculated by multiplying the frequency of metastasis to the station and the 5-year survival rate of the patients with metastasis to the station.

Results

We enrolled 417 patients (237 men, 180 women). Tumors were located in the lingular lobe and at the upper division of left upper lobe in 69 and 348 patients, respectively. The pathological nodal statuses were pN0 in 263 patients, pN1 in 70 patients, and pN2 in 84 patients. Lymph nodes #11 and #7 were significantly correlated with differences in node involvement in patients with left upper lobe NSCLC. Among those with left upper division NSCLC, the 5-year overall survival in pN1 was 31.5% for #10, 39.3% for #11, and 50.4% for #12U. The involvement of node #11 was 1.89-fold higher in the anterior segment than that in the apicoposterior segment. The therapeutic index of estimated benefit from lymph node dissection for #11 was 3.38, #4L was 1.93, and the aortopulmonary window was 4.86 in primary left upper division NSCLC.

Conclusions

Interlobar node involvement is not rare in left upper division NSCLC, occurring in >20% cases. Furthermore, dissection of interlobar nodes was found to be beneficial in patients with left upper division NSCLC.     

Non-Sentinel Lymph Node Metastasis Prediction in Breast Cancer with Metastatic Sentinel Lymph Node: Impact of Molecular Subtypes Classification

Introduction

To decipher the interaction between the molecular subtype classification and the probability of a non-sentinel node metastasis in breast cancer patients with a metastatic sentinel lymph-node, we applied two validated predictors (Tenon Score and MSKCC Nomogram) on two large independent datasets.

Materials and Methods

Our datasets consisted of 656 and 574 early-stage breast cancer patients with a metastatic sentinel lymph-node biopsy treated at first by surgery. We applied both predictors on the whole dataset and on each molecular immune-phenotype subgroups. The performances of the two predictors were analyzed in terms of discrimination and calibration. Probability of non-sentinel lymph node metastasis was detailed for each molecular subtype.

Results

Similar results were obtained with both predictors. We showed that the performance in terms of discrimination was as expected in ER Positive HER2 negative subgroup in both datasets (MSKCC AUC Dataset 1 = 0.73 [0.69–0.78], MSKCC AUC Dataset 2 = 0.71 (0.65–0.76), Tenon Score AUC Dataset 1 = 0.7 (0.65–0.75), Tenon Score AUC Dataset 2 = 0.72 (0.66–0.76)). Probability of non-sentinel node metastatic involvement was slightly under-estimated. Contradictory results were obtained in other subgroups (ER negative HER2 negative, HER2 positive subgroups) in both datasets probably due to a small sample size issue. We showed that merging the two datasets shifted the performance close to the ER positive HER2 negative subgroup.

Discussion

We showed that validated predictors like the Tenon Score or the MSKCC nomogram built on heterogeneous population of breast cancer performed equally on the different subgroups analyzed. Our present study re-enforce the idea that performing subgroup analysis of such predictors within less than 200 samples subgroup is at major risk of misleading conclusions.