The Epidemiological, Clinical and Radiological (Echography, Mammography) Characteristics of Breast Pathologies at the Diagnostic Imaging Center (C.I.D) “Teriya” in Bamako

Breast pathology is varied, bringing together tumor and non-tumor lesions. Objective: To study the contribution of the ultrasound-mammography pair in the diagnosis of breast pathologies. Materials and Method: This was a retrospective descriptive study, carried out over a period of 3 years (from January 2018 to December 2020) at the Diagnostic Imaging Center (C.I.D) “TERIYA” in BAMAKO. It concerned all patients who came for a mammogram/ultrasound examination of the breast. All women admitted for mammogram or breast ultrasound who were diagnosed with a breast injury during the study period were included. Incomplete records and radiological checks were not included. The variables analyzed were age, sex, clinical data, and ultrasound and mammography aspects. The devices used are: a Voluson 730 PRO ultrasound machine and a G 600T type mammography machine. Results: At the end of our study, we collected 254 breast pathologies on a number of 382 women, i.e. a frequency of 66.49%. The average age of our patients was 41 years old. The dominant clinical data were mastodynia (41.88%) and mammary nodule (21.70%). On imaging (mammo-ultrasound) the lesions predominated on the left in 36% of cases, bilateral in 28% of cases and in the upper-outer quadrants in 31.5% of cases. Tumor pathologies represented 66.54% of which 45.27% were benign mainly composed of fibro-adenoma (20.88%) and cyst (18.50%), 11.8% of suspected cases and 9.45% of cancers. Non-tumor pathologies represented 33.46%, mainly mastitis (16.14%), galactophoric dilations (11.02%) and abscesses (5.51%). These pathologies were classified in 50.3% in ACR2, 17.75% in ACR3 and 4, and in 14.20% in ACR5. Lymphadenopathy was present in 73.21% of cases.

Combined molybdenum target X-ray and magnetic resonance imaging examinations improve breast cancer diagnostic efficacy

BACKGROUND Early-stage breast cancer patients often lack specific clinical manifestations,making diagnosis difficult.Molybdenum target X-ray and magnetic resonance imaging(MRI)examinations both have their own advantages.Thus,a combined examination methodology may improve early breast cancer diagnoses.AIM To explore the combined diagnostic efficacy of molybdenum target X-ray and MRI examinations in breast cancer.METHODS Patients diagnosed with breast cancer at our hospital from March 2019 to April 2021 were recruited,as were the same number of patients during the same period with benign breast tumors.Both groups underwent molybdenum target X-ray and MRI examinations,and diagnoses were given based on each exam.The single(i.e.,X-ray or MRI)and combined(i.e.,using both methods)diagnoses were counted,and the MRI-related examination parameters(e.g.,T-wave peak,peak and early enhancement rates,and apparent diffusion coefficient)were compared between the groups.RESULTS In total,63 breast cancer patients and 63 benign breast tumor patients were recruited.MRI detected 53 breast cancer cases and 61 benign breast tumor cases.Molybdenum target X-ray detected 50 breast cancer cases and 60 benign breast tumor cases.The combined methodology detected 61 breast cancer cases and 61 benign breast tumor cases.The sensitivity(96.83%)and accuracy(96.83%)of the combined methodology were higher than single-method MRI(84.13%and 90.48%,respectively)and molybdenum target X-ray(79.37%and 87.30%,respectively)(P<0.05).The combined methodology specificity(96.83%)did not differ from singlemethod MRI(96.83%)or molybdenum target X-ray(95.24%)(P>0.05).The Twave peak(169.43±32.05)and apparent diffusion coefficient(1.01±0.23)were lower in the breast cancer group than in the benign tumor group(228.86±46.51 and 1.41±0.35,respectively).However,the peak enhancement rate(1.08±0.24)and early enhancement rate(1.07±0.26)were significantly higher in the breast cancer group than in the benign tumor group(0.83±0.19 and 0.75±0.19,respectively)(P<0.05).CONCLUSION Combined molybdenum target X-ray and MRI examinations for diagnosing breast cancer improved the diagnostic sensitivity and accuracy,minimizing the missedand misdiagnoses risks and promoting timely treatment intervention.

Diagnostic Value Analysis of Dynamic Contrastenhanced Magnetic Resonance Imaging (DCE-MRI) combined with Diffusion Weighted Imaging (DWI) before Breast Cancer Surgery

Objective:The objective of this study was to investigate the diagnostic efficacy of pre-operative magnetic resonance imaging(MRI)–dynamic contrast imaging(dynamic contrast-enhanced[DCE]-MRI)combined with diffusion-weighted imaging(DWI)in detecting breast cancer.Research Methodology:A retrospective study was performed to compare the results of DCE-MRI combined with DWI in 78 patients with breast cancer who were treated in our hospital between January 20 and December 2018.Results:After diagnosis,the coincidence rate of diagnosis by DCEMRI combined with DWI was significantly higher than ultrasound(91.0%vs.55.1%,respectively,P<0.05).Among the two diagnostic methods,DCE-MRI combined with DWI imaging showed more obvious tumor signals,and the difference was statistically significant(P<0.05).Conclusion:Pre-operative application of DCE-MRI combined with DWI can provide a more accurate and effective reference for surgical planning.

The accuracy of magnetic resonance imaging and ultrasound in evaluating the size of early-stage breast neoplasms

Objective Breast cancer is the most frequently diagnosed cancer in women. Accurate evaluation of the size and extent of the tumor is crucial in selecting a suitable surgical method for patients with breast cancer. Both overestimation and underestimation have important adverse effects on patient care. This study aimed to evaluate the accuracy of breast magnetic resonance imaging(MRI) and ultrasound(US) examination for measuring the size and extent of early-stage breast neoplasms.Methods The longest diameter of breast tumors in patients with T_(1–2)N_(0–1)M_0 invasive breast cancer preparing for breast-conserving surgery(BCS) was measured preoperatively by using both MRI and US and their accuracy was compared with that of postoperative pathologic examination. If the diameter difference was within 2 mm, it was considered to be consistent with pathologic examination.Results A total of 36 patients were imaged using both MRI and US. The mean longest diameter of the tumors on MRI, US, and postoperative pathologic examination was 20.86 mm ± 4.09 mm(range: 11–27 mm), 16.14 mm ± 4.91 mm(range: 6–26 mm), and 18.36 mm ± 3.88 mm(range: 9–24 mm). US examination underestimated the size of the tumor compared to that determined using pathologic examination(t = 3.49, P < 0.01), while MRI overestimated it(t =-6.35, P < 0.01). The linear correlation coefficients between the image measurements and pathologic tumor size were r = 0.826(P < 0.01) for MRI and r = 0.645(P < 0.01) for US. The rate of consistency of MRI and US compared to that with pathologic examination was 88.89% and 80.65%, respectively, and there was no statistically significant difference between them(χ~2 = 0.80, P > 0.05).Conclusion MRI and US are both effective methods to assess the size of breast tumors, and they maintain good consistency with pathologic examination. MRI has a better correlation with pathology. However, we should be careful about the risk of inaccurate size estimation.

Effective use of the Japan Narrow Band Imaging Expert Team classification based on diagnostic performance and confidence level

Five years have passed since the Japan Narrow Band Imaging Expert Team (JNET) classification was proposed in 2014. However, the diagnostic performance of this classification has not yet been established. We conducted a retrospective study and a systematic search of Medical Literature Analysis and Retrieval System On-Line. There were three retrospective single center studies about the diagnostic performance of this classification. In order to clarify this issue, we reviewed our study and three previous studies. This review revealed the diagnostic performance in regards to three important differentiations.(1) Neoplasia from non-neoplasia;(2) malignant neoplasia from benign neoplasia;and (3) deep submucosal invasive cancer (D-SMC) from other neoplasia. The sensitivity in differentiating neoplasia from non-neoplasia was 98.1%-99.8%. The specificity in differentiating malignant neoplasia from benign neoplasia was 84.7%-98.2% and the specificity in the differentiation D-SMC from other neoplasia was 99.8%-100.0%. This classification would enable endoscopists to identify almost all neoplasia, to appropriately determine whether to perform en bloc resection or not, and to avoid unnecessary surgery. This article is the first review about the diagnostic performance of the JNET classification. Previous reports about the diagnostic performance have all been retrospective single center studies. A large-scale prospective multicenter evaluation study is awaited for the validation.

Imaging features of intraductal papillary mucinous neoplasms of the pancreas in multi-detector row computed tomography

AIM:To retrospectively evaluate the imaging features of pancreatic intraductal papillary mucinous neoplasms (IPMNs) in multi-detector row computed tomography (MDCT).METHODS: A total of 20 patients with pathologically-confirmed intraductal papillary mucinous neoplasms (IPMNs) were included in this study. Axial MDCT images combined with CT angiography (CTA) and multiplanar volume reformations (MPVR) or curved reformations (CR) were preoperatively acquired. Two radiologists (Tan L and Wang DB) reviewed all the images in consensus using an interactive picture archiving and communication system. The disputes in readings were resolved through consultation with a third experienced radiologist (Chen KM). Finally, the findings and diagnoses were compared with the pathologic results.RESULTS: The pathological study revealed 12 malignant IPMNs and eight benign IPMNs. The diameters of the cystic lesions and main pancreatic ducts (MPDs) were significantly larger in malignant IPMNs compared with those of the benign IPMNs (P<0.05). The combined-type IPMNs had a higher rate of malignancy than the other two types of IPMNs (P<0.05). Tumors with mural nodules and thick septa had a significantly higher incidence of malignancy than tumors without these features (P<0.05). Communication of side-branch IPMNs with the MPD was present in nine cases at pathologic examination. Seven of them were identified from CTA and MPVR or CR images. From comparison with the pathological diagnosis, the sensitivity, specificity, and accuracy of MDCT in characterizing the malignancy of IPMN of the pancreas were determined to be 100%, 87.5% and 95%, respectively.CONCLUSION: MDCT with CTA and MPVR or CR techniques can elucidate the imaging features of IPMNs and help predict the malignancy of these tumors.

Progresses of Functional Magnetic Resonance Imaging Diagnosis in Breast Cancer

Breast cancer is the most common malignant tumor that threatens women’s health. Breast magnetic resonance imaging (MRI) is a commonly used method recommended for the diagnosis of breast cancer. Diffusion weighted imaging (DWI) and dynamic enhanced magnetic resonance imaging (DCE-MRI) are now widely used. At present, with the continuous advancement of magnetic resonance technology, Magnetic resonance spectroscopy (MRS), Perfusion weighted imaging (PWI), Positron emission tomography-magnetic resonance imaging (PET-MRI) and so on are gradually being used in clinical practice. Mammography imaging and imaging genomics are hot topics. This article will briefly introduce several functional magnetic resonance techniques and their latest applications.

Comparison of imaging-based and pathological dimensions in pancreatic neuroendocrine tumors

AIM To establish the ability of magnetic resonance(MR) and computer tomography(CT) to predict pathologic dimensions of pancreatic neuroendocrine tumors(Pan NET) in a caseload of a tertiary referral center.METHODS Patients submitted to surgery for Pan NET at the Surgical Unit of the Pancreas Institute with at least 1 preoperative imaging examination(MR or CT scan) from January 2005 to December 2015 were included and data retrospectively collected. Exclusion criteria were: multifocal lesions, genetic syndromes, microadenomas or mixed tumors, metastatic disease and neoadjuvant therapy. Bland-Altman(BA) and Mountain-Plot(MP) statistics were used to compare size measured by each modality with the pathology size. Passing-Bablok(PB) regression analysis was used to check the agreement between MR and CT.RESULTS Our study population consisted of 292 patients. Seventy-nine(27.1%) were functioning Pan NET. The mean biases were 0.17 ± 7.99 mm, 1 ± 8.51 mm and 0.23 ± 9 mm, 1.2 ± 9.8 mm for MR and CT, considering the overall population and the subgroup of non-functioning-Pan NET, respectively. Limits of agreement(LOA) included the vast majority of observations, indicating a good agreement between imaging and pathology. The MP further confirmed this finding and showed that the two methods are unbiased with respect to each other. Considering ≤ 2 cm non-functioning-Pan NET, no statistical significance was found in the size estimation rate of MR and CT(P = 0.433). PBR analysis did not reveal significant differences between MR, CT and pathology.CONCLUSION MR and CT scan are accurate and interchangeable imaging techniques in predicting pathologic dimensions of Pan NET.

Diagnostic performance of endoscopic classifications for neoplastic lesions in patients with ulcerative colitis:A retrospective casecontrol study

BACKGROUND It is unclear whether the Japan Narrow-Band Imaging Expert Team(JNET)classification and pit pattern classification are applicable for diagnosing neoplastic lesions in patients with ulcerative colitis(UC).AIM To clarify the diagnostic performance of these classifications for neoplastic lesions in patients with UC.METHODS This study was conducted as a single-center,retrospective case-control study.Twenty-one lesions in 19 patients with UC-associated neoplasms(UCAN)and 23 lesions in 22 UC patients with sporadic neoplasms(SN),evaluated by magnifying image-enhanced endoscopy,were retrospectively and separately assessed by six endoscopists(three experts,three non-experts),using the JNET and pit pattern classifications.The results were compared with the pathological diagnoses to evaluate the diagnostic performance.Inter-and intra-observer agreements were calculated.RESULTS In this study,JNET type 2 A and pit pattern typeⅢ/Ⅳwere used as indicators of low-grade dysplasia,JNET type 2 B and pit pattern typeⅥlow irregularity were used as indicators of highgrade dysplasia to shallow submucosal invasive carcinoma,JNET type 3 and pit pattern typeⅥhigh irregularity/VN were used as indicators of deep submucosal invasive carcinoma.In the UCAN group,JNET type 2 A and pit pattern typeⅢ/Ⅳhad a low positive predictive value(PPV;50.0%and 40.0%,respectively);however,they had a high negative predictive value(NPV;94.7%and 100%,respectively).Conversely,in the SN group,JNET type 2 A and pit pattern typeⅢ/Ⅳhad a high PPV(100%for both)but a low NPV(63.6%and 77.8%,respectively).In both groups,JNET type 3 and pit pattern typeⅥ-high irregularity/VN showed high specificity.The interobserver agreement of JNET classification and pit pattern classification for UCAN among experts were 0.401 and 0.364,in the same manner for SN,0.666 and 0.597,respectively.The intra-observer agreements of JNET classification and pit pattern classification for UCAN among experts were 0.387,0.454,for SN,0.803 and 0.567,respectively.CONCLUSION The accuracy of endoscopic diagnosis using both classifications was lower for UCAN than for SN.Endoscopic diagnosis of UCAN tended to be underestimated compared with the pathological results.

Hepatobiliary phases in magnetic resonance imaging using liverspecific contrast for focal lesions in clinical practice

BACKGROUND Challenging lesions,difficult to diagnose through non-invasive methods,constitute an important emotional burden for each patient regarding a still uncertain diagnosis(malignant x benign).In addition,from a therapeutic and prognostic point of view,delay in a definitive diagnosis can lead to worse outcomes.One of the main innovative trends currently is the use of molecular and functional methods to diagnosis.Numerous liver-specific contrast agents havebeen developed and studied in recent years to improve the performance of liver magnetic resonance imaging(MRI).More recently,one of the contrast agents introduced in clinical practice is gadoxetic acid(gadoxetate disodium).AIM To demonstrate the value of the hepatobiliary phases using gadoxetic acid in MRI for the characterization of focal liver lesions(FLL)in clinical practice.METHODS Overall,302 Lesions were studied in 136 patients who underwent MRI exams using gadoxetic acid for the assessment of FLL.Two radiologists independently reviewed the MRI exams using four stages,and categorized them on a 6-point scale,from 0(lesion not detected)to 5(definitely malignant).The stages were:stage 1-images without contrast,stage 2-addition of dynamic phases after contrast(analogous to usual extracellular contrasts),stage 3-addition of hepatobiliary phase after 10 min(HBP 10’),stage 4-hepatobiliary phase after 20 min(HBP 20’)in addition to stage 2.RESULTS The interobserver agreement was high(weighted Kappa coefficient:0.81-1)at all stages in the characterization of benign and malignant FLL.The diagnostic weighted accuracy(Az)was 0.80 in stage 1 and was increased to 0.90 in stage 2.Addition of the hepatobiliary phase increased Az to 0.98 in stage 3,which was also 0.98 in stage 4.CONCLUSION The hepatobiliary sequences improve diagnostic accuracy.With growing potential in the era of precision medicine,the improvement and dissemination of the method among medical specialties can bring benefits in the management of patients with FLL that are difficult to diagnose.

超声乳腺影像报告和数据系统联合患者年龄鉴别良性与交界性/恶性乳腺叶状肿瘤

目的观察超声乳腺影像报告和数据系统(BI-RADS)联合患者年龄鉴别良性与交界性/恶性乳腺叶状肿瘤(PTB)的价值。方法回顾性分析74例经乳腺超声检查及术后病理证实的PTB女性患者共76个病灶,包括良性57个、交界性14个及恶性5个,比较3种病变患者年龄及其超声BI-RADS分类,观察以单一年龄、超声BI-RADS及其联合鉴别诊断价值。结果良性、交界性及恶性PTB之间,患者年龄及超声BI-RADS分类差异均有统计学意义(P=0.026、0.015)。以44.5岁、超声BI-RADS 4B类及其联合鉴别良性与交界性/恶性PTB的敏感度分别为94.74%、36.84%及73.68%,特异度分别为56.36%、87.27%及72.73%,曲线下面积分别为0.769、0.649及0.780。结论超声BI-RADS分类联合患者年龄有助于鉴别良性与交界性/恶性PTB。

乳腺癌前哨淋巴结MRI研究进展

无创性方法准确评估乳腺癌前哨淋巴结状态对于避免不必要的外科手术及选择最佳治疗方案具有重要意义。扩散加权成像(DWI)和动态增强MRI(DCE-MRI)等多种MRI技术可为术前评估乳腺癌前哨淋巴结状态提供有价值的信息。就MRI评估乳腺癌前哨淋巴结状态的研究进展进行综述。

MRI与X线联合评估乳腺非肿块样病变恶性风险的Logistic回归模型建立及应用评价

目的:基于MRI与X线特征建立乳腺非肿块样病变(Non-mass-like lesions,NML)恶性风险的预测模型,期望提高诊断准确率,为临床决策提供依据。方法:对我院2021年7月-2023年4月符合纳入标准的150例患者的资料进行回顾性分析,使用Logistic回归构建NML恶性风险预测模型及列线图,采用校准曲线评估模型准确度,用受试者工作特征(ROC)曲线评估模型的诊断效能。结果:多因素分析显示簇状环形强化、时间-信号强度曲线(TIC)类型、ADC值、线样及段样分布钙化等影像特征是预测病变恶性风险的因素。基于MRI特征的模型的ROC曲线下面积为0.941,灵敏度为88.7%,特异度为86.6%。基于MRI联合X线特征的模型的ROC曲线下面积为0.951,灵敏度为91.5%,特异度为91.4%,校准曲线预测准确度较好。结论 :基于MRI联合X线特征建立的乳腺NML恶性风险Logistic回归模型诊断效能较高,具有一定的应用潜力。

同时性双侧乳腺癌分子分型与乳腺影像表现的相关性

目的分析同时性双侧乳腺癌不同分子分型与乳腺影像特征的相关性。资料与方法回顾性分析2016年1月—2022年5月青岛大学附属医院经手术病理证实的同时性双侧乳腺癌81例,其中80例接受X线检查,38例接受MRI检查。影像学特征参照第5版乳腺影像报告和数据系统。分子分型参照2013年St.Gallen国际专家共识。比较同时性双侧乳腺癌中首发癌与对侧癌的临床病理及影像表现差异以及首发癌、对侧癌不同分子分型的影像表现差异。结果首发癌与对侧癌组织学类型及分子分型差异均有统计学意义(χ^(2)=39.72、12.23,P<0.05)。X线示首发癌多为单纯肿块(51.9%,40/77),对侧癌多为单纯钙化(38.4%,28/73);首发癌多为多形性钙化(68.8%,22/32),对侧癌多为无定形钙化(45.2%,19/42)(χ^(2)=33.15、10.47,P<0.05)。MRI示首发癌与对侧癌强化方式差异有统计学意义(χ^(2)=6.79,P<0.05)。对侧癌X线示4种分子分型表现形式、肿块密度以及MRI示强化方式、早期强化程度、时间-信号强度曲线差异有统计学意义(P<0.05),对侧癌X线luminalA型多为肿块(51.3%,20/39),luminalB型(36.4%,8/22)、HER-2过表达型(50%,5/10)多为钙化,TNBC型为肿块伴钙化(χ^(2)=26.72、7.49、8.95、13.44、12.85,P<0.05)。首发癌X线示4种分子分型钙化分布差异有统计学意义(χ^(2)=20.15,P<0.05)。结论同时性双侧乳腺癌分子分型及部分影像学特征存在差异,部分影像学特征可为预测分子分型提供参考。

磁共振弛豫时间定量成像预测乳腺浸润性导管癌分子亚型的价值

目的探讨磁共振弛豫时间定量成像对乳腺浸润性导管癌(IDC)分子亚型的预测价值。方法对79例IDC患者行MRI常规扫描及弛豫时间定量成像,根据病灶免疫组化结果分为不同的免疫组化指标组、分子亚型组,比较各组病灶MRI征象、T_(1)值、T_(2)值差异,并采用受检者工作特征(ROC)曲线评价单独使用T_(1)、T_(2)值及二者联用对IDC分子亚型的鉴别诊断价值。结果79例患者共82个病灶中,Luminal A型16个(19.51%)、Luminal B1型11个(13.41%)、Luminal B2型27个(32.93%)、酪氨酸激酶受体-2过度表达型(Erb-B2过表达型)14个(17.07%)、三阴型(TNBC)14个(17.07%)。各分子亚型患者年龄、病灶分布、最大径、形态、边缘、强化表现差异均无统计学意义(P>0.05)。免疫组化指标中仅Ki-67阳性组T_(1)值高于阴性组(P<0.05)。ROC曲线分析显示,Ki-67阳性病灶T_(1)值临界值为2145 ms,约登指数为0.368,敏感度为53.47%,特异度为83.33%,曲线下面积(AUC)为0.640(95%CI:0.527~0.744)。Luminal A、Luminal B1、Luminal B2、Erb-B2过表达型、TNBC分子亚型间T_(1)、T_(2)值差异均无统计学意义(P>0.05),而Luminal型病灶T_(1)、T_(2)值均低于TNBC型(P<0.05)。ROC曲线分析显示,联合T_(1)、T_(2)值鉴别Luminal型/TNBC型的效能优于单独使用T_(1)、T_(2)值。结论T_(1)mapping可作为预测IDC肿瘤Ki-67高低表达程度的方法之一,联合使用T_(1)、T_(2)值可提高预测Luminal型/TNBC型的效能。

扩散峰度联合动态增强磁共振成像对乳腺癌不同中医证型的诊断价值

目的探讨扩散峰度成像(DKI)联合动态增强磁共振成像(DCE-MRI)对乳腺癌不同中医证型的诊断价值。方法选取本院经病理证实的乳腺癌患者170例,其中肝郁痰凝证88例,冲任失调证45例,正虚毒炽证37例,所有病例均行DKI及DCE-MRI检查。分析两组间的临床病例资料、常规MRI征象和DKI模型的平均扩散率(MD)、平均扩散峰度值(MK)及DCE-MRI模型的血管外细胞外间隙容积比(Ve)、速率常数(Kep)和容量转移常数(Ktrans)值;并运用受试者工作特征曲线(ROC)分析诸定量参数的诊断效能。结果肝郁痰凝证、冲任失调证及正虚毒炽证病灶形态及强化方式差异有统计学意义(P=0.003;P=0.027)。肝郁痰凝证组的MD值小于冲任失调证组及正虚毒炽证组,差异有统计学意义(P<0.01);肝郁痰凝证、冲任失调证及正虚毒炽证组的MK值逐渐减小(P<0.001),且两两之间比较差异有统计学意义(P<0.05);正虚毒炽证组的Ktrans及Kep值最大,其次是冲任失调证组,肝郁痰凝证组最小(P<0.001),两两之间比较差异有统计学意义(P<0.05)。常规MRI模型中病变形态特征及强化方式对鉴别正虚毒炽证与非正虚毒炽证乳腺癌有意义,ROC曲线下面积为0.772。DCE-MRI模型的Ktrans值对正虚毒炽证的诊断效能最高,AUC均大于其他定量参数(Z=2.729~3.852,P<0.05)。DKI模型(MD+MK)的AUC为0.745;DCE-MRI模型(Ktrans+Kep)的AUC为0.902,大于DKI及常规MRI模型,差异具有统计学意义(Z=3.002,P=0.003;Z=2.113,P=0.035)。DCE-MRI+DKI模型AUC为0.917,诊断效能高于DKI及常规MRI模型(Z=3.834,P<0.001;Z=2.556,P=0.011);DCE-MRI+DKI模型的准确度91.8%,均高于DCE-MRI、DKI及常规MRI单一模型。结论DKI和DCE-MRI模型可用于中医证型乳腺癌的鉴别诊断,其中DCE-MRI模型的Ktrans值诊断效能最高,DKI联合DCE-MRI模型对乳腺癌中医证型的鉴别能力优于单一模型。

合成MRI定量参数区分三阴性与非三阴性乳腺癌的价值

目的:探讨合成MRI定量参数区分三阴性乳腺癌(TNBC)与非TNBC的价值。方法:回顾性收集经病理证实的186例乳腺病变患者,术前均完成乳腺常规与合成MRI检查。采用ICC和Bland-Altman图分析不同观察者获得合成MRI定量参数的一致性。单、多因素logistic回归分析合成MRI定量参数区分TNBC与非TNBC的价值,并绘制受试者工作特征曲线(ROC),计算曲线下面积(AUC)及敏感度、特异度。结果:基于3D-ROI获得的T_(1)、T_(2)和PD值的一致性ICC_(3D)(0.994、0.996和0.989)优于2D-ROI (0.848、0.850、0.898)。T_(1)-均值、T_(2)-均值联合模型区分TNBC与Luminal A型乳腺癌ROC曲线的AUC值为0.79(95%CI:0.65~0.88),敏感度为56.67%,特异度为88.00%。T_(2)-均值区分TNBC与Luminal B型乳腺癌ROC曲线的AUC值为0.74(95%CI:0.64~0.82),敏感度为63.66%,特异度为80.88%。PD-均值区分TNBC与HER2过表达型乳腺癌ROC曲线的AUC值为0.70(95%CI:0.55~0.82),敏感度为80.00%,特异度为55.00%。结论:不同观察者基于3D-ROI获得的合成MRI定量参数的可重复性高于2D-ROI;合成MRI定量参数可以为区分TNBC与非TNBC提供帮助。

动态增强磁共振联合体素内不相干运动成像对三阴性乳腺癌的诊断价值

目的 探讨动态增强磁共振成像(DCE-MRI)联合体素内不相干运动(IVIM)对三阴性(TNBC)及非三阴性乳腺癌的鉴别诊断价值。方法 回顾性分析本院经病理证实的乳腺癌患者180例,TNBC组49例,非TNBC组131例,所有患者均行DCE-MRI及IVIM及检查。分析两组间的临床病理资料、常规MRI征象和IVIM、 DCE-MRI模型诸定量参数。结果 TNBC组的病灶不规则形较非TNBC组少见,强化多不均匀,环形强化占比较大,两组间差异有统计学意义(P=0.001,P=0.007)。TNBC组的Ve值小于非TNBC组(P<0.001),呈低度负相关(r=-0.439,P<0.001);TNBC组的D、f、K_(ep)值高于非TNBC组(P=0.002~0.016),呈低度正相关(r=0.186~0.257,P<0.05)。D^(*)、K^(trans)值在两组间差异不具有统计学差异(P>0.05)。D≥0.86×10^(-3)mm^(2)/s、f≥38.1%、K_(ep)≥0.359/min、V_(e)≤0.589为鉴别TNBC和非TNBC的独立影响因素,其中Ve值的AUC为0.784,大于其他定量参数(Z=2.201~2.752,P=0.006~0.028)。DC E-MRI模型AUC为0.817,大于IVIM模型(AUC=0.657)和常规MRI模型(AUC=0.689),差异具有统计学意义(Z=2.657;P=0.008;Z=2.516,P=0.012)。联合DCE-MRI、IVIM模型,AUC为0.862,诊断效能均高于单一模型(Z=2.194~4.649,P<0.05),敏感度为83.7%,特异度为74.8%,准确度为80.0%。结论 DCE-MRI、IVIM模型可用于TNBC的诊断,其中DCE-MRI模型的Ve值诊断效能最高,IVIM联合DC E-M RI模型对鉴别TN BC及非TN BC的诊断效能优于单一模型。

乳腺数字断层合成与动态磁共振成像在乳腺良恶性病变及乳腺癌分期的应用

目的探讨乳腺数字断层合成与动态磁共振成像(MRI)在诊断乳腺良恶性病变及乳腺癌分期的应用价值。方法回顾性选取2022年7月至2023年7月在南阳市第二人民医院乳腺科住院治疗患者80例,均为女性,入院后均接受乳腺数字断层合成摄影和动态增强(DCE)-MRI检查,以病理结果为金标准,分析比较良恶性乳腺病变患者的乳腺数字断层合成摄影和DCE-MRI影像学特征,比较2种方法单一检测以及两者联合对乳腺病变良恶性病变以及术前T分期诊断准确率。结果乳腺数字断层合成摄影在诊断乳腺良恶性病变的灵敏度、特异度、准确度分别为83%、85%、82%;使用DCE-MRI诊断乳腺癌的灵敏度、特异度、准确度分别为84%、90%、88%;使用乳腺数字断层合成摄影联合DCE-MRI诊断乳腺癌的灵敏度、特异度、准确度分别为95%、97%、96%。结论乳腺数字断层合成摄影联合DCE-MRI对于乳腺良恶性病变诊断具有较好的价值,可提高乳腺病变诊断灵敏度、特异度和术前T分期诊断准确率。

多种超声影像技术在乳腺癌诊断中的研究进展

乳腺癌是我国女性发病率最高的恶性肿瘤,常规超声是乳腺癌筛查常用的影像检查方法。弹性成像、超声造影、自动乳腺超声成像系统、S-detect技术及超声引导下穿刺活检等新技术正在飞速发展并逐渐应用于临床,为乳腺癌的诊断提供了更有价值的信息。本文就多种超声影像技术诊断乳腺癌的临床应用进展进行综述。