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.

Diffusion tensor imaging and proton magnetic resonance spectroscopy in brain tumor Correlation between structure and metabolism

Proton magnetic resonance spectroscopy and diffusion tensor imaging are non-invasive techniques used to detect metabolites and water diffusion in vivo. Previous studies have confirmed a positive correlation of individual fractional anisotropy values with N-acetylaspartate/creatine and N-acetylaspartate/choline ratios in tumors, edema, and normal white matter. This study divided the brain parenchyma into tumor, pedtumoral edema, and normal-appearing white matter according to MRI data, and analyzed the correlation of metabolites with water molecular diffusion. Results demonstrated that in normal-appearing white matter, N-acetylaspartate/creatine ratios were positively correlated with fractional anisotropy values, negatively correlated with radial diffusivities, and positively correlated with maximum eigenvalues. Maximum eigenvalues and radial diffusivities in peritumoral edema showed a negative correlation with choline, N-acetylaspartate, and creatine. Radial diffusivities in tumor demonstrated a negative correlation with choline. These data suggest that the relationship between metabolism and structure is markedly changed from normal white matter to peritumoral edema and tumor. Neural metabolism in the peritumoral edema area decreased with expanding extracellular space. The normal relationship of neural function and microstructure disappeared in the tumor region.

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.

Magnetic resonance imaging in breast cancer:A literature review and future perspectives

Early detection and diagnosis of breast cancer are essential for successful treatment. Currently mammography and ultrasound are the basic imaging techniques for the detection and localization of breast tumors. The low sensitivity and specificity of these imaging tools resulted in a demand for new imaging modalities and breast magnetic resonance imaging(MRI) has become increasingly important in the detection and delineation of breast cancer in daily practice. However, the clinical benefits of the use of pre-operative MRI in women with newly diagnosed breast cancer is still a matter of debate. The main additional diagnostic value of MRI relies on specific situations such as detecting multifocal, multicentric or contralateral disease unrecognized on conventional assessment(particularly in patients diagnosed with invasive lobular carcinoma), assessing the response to neoadjuvant chemotherapy, detection of cancer in dense breast tissue, recognition of an occult primary breast cancer in patients presenting with cancer metastasis in axillary lymph nodes, among others. Nevertheless, the development of new MRI technolo-gies such as diffusion-weighted imaging, proton spectroscopy and higher field strength 7.0 T imaging offer a new perspective in providing additional information in breast abnormalities. We conducted an expert literature review on the value of breast MRI in diagnosing and staging breast cancer, as well as the future potentials of new MRI technologies.

Diffusion-tensor imaging as an adjunct to dynamic contrastenhanced MRI for improved accuracy of differential diagnosis between breast ductal carcinoma in situ and invasive breast carcinoma

Objective： To determine the value of diffusion-tensor imaging （DTI） as an adjunct to dynamic contrastenhanced magnetic resonance imaging （DCE-MRI） for improved accuracy of differential diagnosis between breast ductal carcinoma in situ （DCIS） and invasive breast carcinoma （IBC）. Methods： The MRI data of 63 patients pathologically confirmed as breast cancer were analyzed. The conventional MRI analysis metrics included enhancement style, initial enhancement characteristic, maximum slope of increase, time to peak, time signal intensity curve （TIC） pattern, and signal intensity on FS- T2WI. The values of apparent diffusion coefficient （ADC）, directionally-averaged mean diffusivity （D^vg）, exponential attenuation （EA）, fractional anisotropy （FA）, volume ratio （VR） and relative anisotropy （RA） were calculated and compared between DCIS and IBC. Multivariate logistic regression was used to identify independent factors for distinguishing IBC and DCIS. The diagnostic performance of the diagnosis equation was evaluated using the receiver operating characteristic （ROC） curve. The diagnostic efficacies of DCE- MRI, DWI and DTI were compared independently or combined. Results： EA value, lesion enhancement style and TIC pattern were identified as independent factor for differential diagnosis of IBC and DCIS. The combination diagnosis showed higher diagnostic efficacy than a single use of DCE-MRI （P=0.02）, and the area of the curve was improved from 0.84 （95% CI, 0.67-0.99） to 0.94 （95% CI, 0.85-1.00）. Conclusions： Quantitative DTI measurement as an adjunct to DCE-MRI could improve the diagnostic performance of differential diagnosis between DCIS and IBC compared to a single use of DCE-MRI.

Differentiation between Benign and Malignant Breast Lesions Using ADC on Diffusion-Weighted Imaging at 3.0 T

Aim: To investigate the diagnostic efficiency of apparent diffusion coefficient value (ADC) in differentiating benign from malignant breast lesions at 3.0 T diffusion-weighted imaging with different pair of b value. Methods: Total 110 patients with 107 lesions (44 benign and 63 malignant) were selected for our study with five different b-values 0, 400, 800, 1200 and 1600 s/mm2. ADC values were calculated using different pairs of b values. The cut-off ADC values and diagnostic efficiency were evaluated by receiver operating characteristic analysis. Comparison of Mean ADC value for breast lesions was determined by using independent sample t test. ROC curves were used for diagnostic efficiency of ADC using different pairs of b values. Results: With increase of b value, mean ADC value decreases. The mean ADC values for benign were 1.73 × 10-3 mm2/s for b 0 and 400, 1.57 × 10-3 mm2/s for b 0 and 800, 1.43 × 10-3 mm2/s for b 0 and 1200 and 1.30 × 10-3 mm2/s for b 0 and 1600 s/mm2. The mean ADC values for the malignant breast lesion were 1.21 × 10-3 mm2/s for b 0 and 400, 1.06 × 10-3 mm2/s for b 0 and 800, 0.94 × 10-3 mm2/s for b 0 and 1200 and 0.86 × 10-3 mm2/s for b 0 and 1600 s/mm2. ADC diagnostic efficiency for benign and malignant lesion for all the pair of b value combination was significant (p > 0.05). The sensitivity, specificity, PPV, NPV and accuracy were 80.95%, 90.9%, 92.72%, 76.92%, 85.04% for b 0 and 400;84.12%, 90.9%, 92.98%, 80%, 86.91% for b 0 and 800;84.12%, 90.9%, 92.98%, 80%, 86.91% for b 0 and 1200;84.12%, 90.9%, 92.98%, 80%, 86.91% for b 0 and 1600 s/mm2 respectively. Conclusion: DWI is effective in differentiating benign and malignant breast lesion at 3.0 Tesla using ADC with higher b value combination.

Diffusion weighted imaging in the liver

Diffusion weighted magnetic resonance imaging (DWI) is an imaging technique which provides tissue contrast by the measurement of diffusion properties of water molecules within tissues. Diffusion is expressed in an apparent diffusion coefficient (ADC), which reflects the diffusion properties unique to each type of tissue. DWI has been originally used in neuroradiology. More recently, DWI has increasingly been used in addition to conventional unenhanced and enhanced magnetic resonance imaging (MRI) in other parts of the body. The reason for this delay was a number of technical problems inherent to the technique, making DWI very sensitive to artifacts, which had to be overcome. With assessment of ADC values, DWI proved to be helpful in characterization of focal liver lesions. However, DWI should always be used in conjunction to conventional MRI since there is considerable overlap between ADC values of benign and malignant lesions. DWI is useful in the detection of hepatocellular carcinoma in the cirrhotic liver and detection of liver metastases in oncological patients. In addition, DWI is a promising tool in the prediction of tumor responsiveness to chemotherapy and the follow-up of oncological patients after treatment, as DWI may be capable of detecting recurrent disease earlier than conventional imaging.This review focuses on the most common applications of DWI in the liver.

Diffusion weighted imaging for the detection and evaluation of cholesteatoma

Cholesteatoma is a collection of keratinous debris and stratified squamous epithelium.It is trapped in the middle ear and can lead to bony erosion.The disease is treated surgically often followed by a second-look procedure to check for residual tissue or recurrence.Cholesteatoma has specific signal-intensity characteristics on magnetic resonance imaging with very high signal intensity on diffusion weighted imaging(DWI).Various DWI techniques exist:Echo-planar imaging(EPI)-based and non-EPI-based techniques as well as new approaches like multi-shot EPI DWI.This article summarizes all techniques,discusses the significance in detecting cholesteatoma and mentions actual studies.Further recommendations for daily clinical practise are provided.

Impact of Field Strength and Respiratory Motion Control on Diffusion-Weighted MR Imaging of the Liver

Purpose: To evaluate the impact of field strength and respiratory motion control on diffusion-weighted MR imaging (DWI) of the liver at 1.5 and 3 T. Material and Methods: Three DWI sequences using seven b-values from 20 - 400 s/mm2 were designed with identical parameters but with different handling of respiratory motion [respiratory triggered (RT), free breathing (FB), breath hold (BH)] on 3 T and 1.5 T. Thirteen volunteers were examined at a 3 T and six of them also at a 1.5 T magnet. DW images were analyzed quantitatively and qualitatively. Regions of interest were placed in cranial, middle and caudal parts of the right liver lobe (RLL) and ADC and SNR were calculated. Results: ADC in RLL tended to be lower at 3 T MRI. Least inter-subject ADC variability was found with RT in the middle RLL at 3 T. Highest ADCs were found caudally in the RLL. Significant differences in ADC between middle and caudal RLL were calculated in FB and RT at 3 T and FB and BH at 1.5 T, respectively. No significant difference in SNR was found between 3 T and 1.5 T. There were significantly more artifacts in the left liver lobe (LLL) compared to the RLL in all sequences and in the LLL at 3 T compared to 1.5 T. Conclusion: Our study suggests that longitudinal hepatic ADC measurements should be performed using equivalent field strength, b-values, and acquisition technique, given influence of these factors on ADC measurements.

Prognostication and response assessment in liver and pancreatic tumors:The new imaging

Diffusion-weighted imaging(DWI), dynamic contrastenhanced magnetic resonance imaging(DCE-MRI) and perfusion computed tomography(CT) are technical improvements of morphologic imaging that can evaluate functional properties of hepato-bilio-pancreatic tumors during conventional MRI or CT examinations.Nevertheless, the term "functional imaging" is commonly used to describe molecular imaging techniques, as positron emission tomography(PET)CT/MRI, which still represent the most widely used methods for the evaluation of functional properties of solid neoplasms; unlike PET or single photon emission computed tomography, functional imaging techniques applied to conventional MRI/CT examinations do not require the administration of radiolabeled drugs or specific equipments. Moreover, DWI and DCE-MRI can be performed during the same session, thus providing a comprehensive "one-step" morphological and functional evaluation of hepato-bilio-pancreatic tumors. Literature data reveal that functional imaging techniques could be proposed for the evaluation of these tumors before treatment, given that they may improve staging and predict prognosis or clinical outcome. Microscopic changes within neoplastic tissues induced by treatments can be detected and quantified with functional imaging,therefore these techniques could be used also for posttreatment assessment, even at an early stage. The aim of this editorial is to describe possible applications of new functional imaging techniques apart frommolecular imaging to hepatic and pancreatic tumors through a review of up-to-date literature data, with a particular emphasis on pathological correlations,prognostic stratification and post-treatment monitoring.

Improved Performance in Differentiating Benign from Malignant Sinonasal Tumors Using Diffusion-weighted Combined with Dynamic Contrast-enhanced Magnetic Resonance Imaging

Background：Differentiating benign from malignant sinonsal lesions is essential for treatment planning as well as determining the patient＇s prognosis,but the differentiation is often difficult in clinical practice.The study aimed to determine whether the combination of diffusion-weighted （DW） and dynamic contrast-enhanced magnetic resonance imaging （DCE-MRI） can improve the performance in differentiating benign from malignant sinonasal tumors.Methods：This retrospective study included 197 consecutive patients with sinonasal tumors （116 malignant tumors and 81 benign tumors）.All patients underwent both DW and DCE-MRI in a 3-T magnetic resonance scanner.Two different settings ofb values （0,700 and 0,1000 s/mm^2） and two different strategies of region of interest （ROI） including whole slice （WS） and partial slice （PS） were used to calculate apparent diffusion coefficients （ADCs）.A DW parameter with WS ADCsb0.1000 and two DCE-MRI parameters （time intensity curve [TIC] and time to peak enhancement [Tpeak]） were finally combined to use in differentiating the benign from the malignant tumors in this study.Results：The mean ADCs of malignant sinonasal tumors （WS ADCsb0,1000=1.084 × 10^-3 mm^2/s） were significantly lower than those of benign tumors （WS ADCsb0,1000=1.617 × 10^-3 mm^2/s,P 〈 0.001）.The accuracy using WS ADCsb0,1000 alone was 83.7% in differentiating the benign from the malignant tumors （85.3% sensitivity,81.2% specificity,86.4% positive predictive value [PPV],and 79.5% negative predictive value [NPV]）.The accuracy using DCE with Tpeak and TIC alone was 72.1% （69.1% sensitivity,74.1% specificity,77.5% PPV,and 65.1% NPV）.Using DW-MRI parameter was superior than using DCE parameters in differentiation between benign and malignant sinonasal tumors （P 〈 0.001）.The accuracy was 87.3% （90.5% sensitivity,82.7% specificity,88.2% PPV,and 85.9% NPV） using DW-MRI combined with DCE-MRI,which was superior than that using DCE-MRI alone or using DW-MRI alone （both P 〈 0.001） in differentiating the benign from the malignant tumors.Conclusions：Diffusion-weighted combined with DCE-MRI can improve imaging performance in differentiating benign from malignant sinonasal tumors,which has the potential to improve diagnostic accuracy and to provide added value in the management for these tumors.

Correlation of MRI apparent diffusion coefficient of invasive breast cancer with tumor tissue growth and angiogenesis

Objective: To study the correlation of MRI apparent diffusion coefficient (ADC value) of invasive breast cancer with tumor tissue growth and angiogenesis. Methods: Patients with breast mass who were treated in Wuhan No. 6 Hospital between March 2014 and May 2017 were selected as the research subjects and divided into group A with invasive ductal carcinoma, group B with intraductal carcinoma and group C with benign lesion according to the biopsy results, magnetic resonance diffusion-weighted imaging was conducted to determine ADC values, and biopsy tissue was taken to determine the expression of proliferation genes and angiogenesis genes. Results: USP39, CyclinD1, VEGF, bFGF, Angplt-2, Angplt-3 and Angplt-4 protein expression levels in lesions of group A and group B were significantly higher than those of group C while ADC value as well as ALEX1 and Bax protein expression levels were significantly lower than those of group C;USP39, CyclinD1, VEGF, bFGF, Angplt-2, Angplt-3 and Angplt-4 protein expression levels in lesions of group A were significantly higher than those of group B while ADC value as well as ALEX1 and Bax protein expression levels was significantly lower than those of group B;USP39, CyclinD1, VEGF, bFGF, Angplt-2, Angplt-3 and Angplt-4 protein expression levels in invasive breast cancer tissue with high ADC value were significantly lower than those in invasive breast cancer tissue with low ADC value while ALEX1 and Bax protein expression levels were significantly higher than those in invasive breast cancer tissue with low ADC value. Conclusion: The decrease of ADC value of invasive breast cancer is closely related to cancer cell proliferation and angiogenesis.

Diffusion-weighted MRI in abdominal oncology:Clinical applications

Diffusion-weighted magnetic resonance imaging(DWI) provides image contrast that is different from that obtained by conventional magnetic resonance techniques.Although previously,DWI has been used to evaluate various diseases of the central nervous system,several technical advances have expanded the clinical applications of DWI beyond the central nervous system.As a result,many reports have been published on the use of DWI in abdominal diseases.Particularly,abdominal DWI has now being focused on evaluation of patients with abdominal cancer.DWI can be used for pretreatment tumor detection,characterization including predicting tumor response to therapy,monitoring tumor response during therapy,and follow-up study after treatment to detect possible tumor recurrence.

磁共振表观扩散系数鉴别诊断移行带高危前列腺癌及与病理分级分组的相关性

目的探讨磁共振扩散加权成像(diffusion-weighted imaging,DWI)的表观扩散系数(apparent diffusion coefficient,ADC)值和相对ADC值对移行带高危前列腺癌(high-risk prostate cancer,hPCa)的鉴别诊断价值及与国际泌尿病理学会(International Society of Urological Pathology,ISUP)前列腺癌分级分组(grading group,GG)的相关性。材料与方法回顾性分析经病理证实的40例移行带前列腺癌患者的双参数MRI资料,分别测量移行带癌灶和基质型增生结节的平均ADC(mean ADC,ADC_(mean))值和最小ADC(minimum ADC,ADC_(min))值,并计算移行带癌灶与基质型增生结节ADC比值的相对ADC_(mean)(relative ADC_(mean),rADC_(mean))值和相对ADC_(min)(relative ADC_(min),rADC_(min))值。比较hPCa组与低危前列腺癌(low-risk prostate cancer,lPCa)组之间ADC_(mean)、ADC_(min)、rADC_(mean)和rADC_(min)值的差异。绘制受试者工作特征(receiver operating characteristic,ROC)曲线评估ADC各参数对移行带hPCa的诊断效能,并根据约登指数确定最佳截断值。采用DeLong检验比较ROC曲线下面积(area under the curve,AUC)的差异。Spearman相关分析ADC各参数与ISUP GG之间的相关性。结果hPCa组的ADC_(mean)、ADC_(min)、rADC_(mean)和rADC_(min)值均低于lPCa组(P均<0.05)。ADC_(mean)、ADC_(min)、rADC_(mean)和rADC_(min)鉴别诊断移行带hPCa的AUC分别为0.775[95%置信区间(confidence interval,CI):0.615~0.892]、0.879(95%CI:0.736~0.960)、0.751(95%CI:0.589~0.874)和0.914(95%CI:0.782~0.979),rADC_(min)的AUC最大。rADC_(min)与ADC_(mean)和rADC_(mean)的AUC差异均有统计学意义(P均<0.05),但与ADC_(min)的AUC差异无统计学意义(P>0.05)。当rADC_(min)最佳截断值取0.664×10^(-3)mm^(2)/s,约登指数最大(0.783),诊断移行带hPCa的敏感度和特异度分别为100.00%、78.26%。ADC_(mean)、ADC_(min)、rADC_(mean)和rADC_(min)值与ISUP GG均呈负相关[r=-0.486(95%CI:-0.755~-0.151)、-0.613(95%CI:-0.769~-0.365)、-0.553(95%CI:-0.745~-0.260)、-0.678(95%CI:-0.810~-0.474),P均≤0.001]。结论rADC_(min)鉴别诊断移行带hPCa的效能高,并且能够无创预测移行带PCa的ISUP GG,有助于为患者的个性化治疗决策提供支持。

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。

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。

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。

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。

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。

同时多层成像技术用于弥散张量成像评估脑胶质瘤

目的探讨同时多层成像(SMS)技术用于弥散张量成像(DTI)评估脑胶质瘤的价值。方法前瞻性对34例脑胶质瘤患者采集颅脑常规DTI及SMS-DTI,对比2种图像质量主观评分、信噪比(SNR)及对比度信噪比(CNR),以及基于2种图像所获全脑纤维束数及肿瘤相对各向异性分数(rFA)和平均扩散率(rMD)。结果34例中,23例为高级别、11例为低级别胶质瘤。SMS-DTI整体图像质量、显示肿瘤边缘清晰度和磁敏感伪影主观评分与常规DTI差异均无统计学意义(P均>0.05),而其SNR、CNR均低于常规DTI(P均<0.05);基于SMS-DTI所获不同病理分级脑胶质瘤患者全脑纤维束数及肿瘤rFA和rMD与常规DTI差异均无统计学意义(P均>0.05)。结论SMS技术用于DTI评估脑胶质瘤可在保证图像质量及定量分析结果准确性的前提下有效缩短采集时间。