Review of radiological screening programmes for breast, lung and pancreatic malignancy

Screening for lung cancer using thin-slice low-dose computed tomography in southwestern China: a population-based real-world study

OBJECTIVES

Lung cancer is one of the most common malignant tumors threatening human life and health. At present, low-dose computed tomography (LDCT) screening for the high-risk population to achieve early diagnosis and treatment of lung cancer has become the first choice recommended by many authoritative international medical organizations. To further optimize the lung cancer screening method, we conducted a real-world study of LDCT lung cancer screening in a large sample of a healthy physical examination population, comparing differences in lung nodules and lung cancer detection between thin and thick-slice LDCT scanning.

METHODS

A total of 29 296 subjects who underwent low-dose thick-slice CT scanning (5 mm thickness) from January 2015 to December 2015 and 28 058 subjects who underwent low-dose thin-slice CT scanning (1 mm thickness) from January 2018 to December 2018 in West China Hospital were included. The positive detection rate, detection rate of lung cancer, pathological stage of lung cancer, and mortality rate of lung cancer were analyzed and compared between the two groups.

RESULTS

The positive rate of LDCT screening in the thin-slice scanning group was significantly higher than that in the thick-slice scanning group (20.1% vs. 14.4%, p < 0.001). In addition, the lung cancer detection rate in the thin-slice LDCT screening positive group was significantly higher than that in the thick-slice scanning group (78.0% vs. 52.9%, p < 0.001).

CONCLUSIONS

The screening positive rate of low-dose thin-slice CT scanning is higher and more early-stage lung cancer (IA1 stage) can be detected in the screen-positive group.

Interest in mammography across European countries: a retrospective "Google Trends" comparative study

Background

Breast cancer is currently the most prevalent and impacting cancer among women and mammography has been recommended for screening by The European Commission Initiative on Breast Cancer since 2003. The objective of this study is to estimate the interest in breast cancer screening breast cancer in European countries by analyzing data from online searches for the term "mammography" obtained via Google Trends.

Methods

The relative search volumes (RSVs) of the term "mammography" translated into various languages and relating to the January 2010-December 2022 period were downloaded from Google Trends. The between-countries differences growth of interest was estimated by a regression model in which the country-time interaction term was introduced.

Results

France [coefficient (coeff): 0.23; 95% confidence interval (CI): 0.18-0.28], United Kingdom (coeff: 0.22; 95% CI: 0.18-0.27) and Germany (coeff: 0.21; 95% CI: 0.16-0.25) showed the higher growth in mammography interest when compared to the average growth. The lowest growths were observed in Eastern European countries: Croatia (coeff: -0.13; 95% CI: -0.18 to -0.09), Serbia (coeff: -0.14; 95% CI: -0.18 to -0.09), Greece (coeff: -0.14; 95% CI: -0.18 to -0.09), Slovenia (coeff: -0.15; 95% CI: -0.2 to -0.11) and Bosnia-Herzegovina (coeff: -0.15; 95% CI: -0.2 to -0.11).

Conclusions

These exploratory findings suggest that online interest in mammography is lower in countries with lower screening coverage and higher breast cancer mortality. These countries could adopt strategies to raise awareness of breast cancer prevention.

Enhanced ultrasound-guided versus non-enhanced ultrasound-guided percutaneous needle biopsy in tissue cellularity of lung malignancies: a propensity score matched study

BACKGROUND

Though ultrasound-guided percutaneous lung needle biopsy (US-PLNB) is a first-line small biopsy method for peripheral lung lesions, quality of cellularity in specimens obtained via US-PLNB is uncertain. This study investigated the accuracy, sensitivity, and cellularity of US-PLNB. It examined the ability of contrast-enhanced ultrasound (CEUS) to improve the effectiveness of US-PLNB.

METHODS

We retrospectively analyzed all data of patients with subpleural lung lesions who underwent US-PLNB. The cellularity of US-PLNB from malignant lesions included the tumor cell number and proportion. The definition of high-quality cellularity (HQC) was concurrently achieving a tumor cell number ≥400 and a proportion ≥20%. The sensitivity, the actual numbers of tumor cell number/proportion, and the rate of HQC were calculated and compared between the CEUS and non-enhanced US groups after propensity score matching (PSM) with subgroup analyses by lesion size (small lesion ≤30 mm and large lesion >30 mm).

RESULTS

A total of 345 patients undergoing 345 US-PLNBs were evaluated, with 3.7±1.1 of punctures on average. There were 201 malignant and 144 benign lesions with a mean size of 43.8±24.1 mm. Among the 201 malignant lesions, 124 cases underwent CEUS and 77 underwent non-enhanced US. The quantity of tumor cells, the proportion of tumor cells, and the rate of HQC in 201 cases of US-PLNB from malignant lesions were 2,862.1±2,288.0, 44.6%±24.5%, and 82.1% [95% confidence interval (CI): 76.6% to 87.1%], respectively. The quantity of tumor cells, the proportion of tumor cells, and rate of HQC were significantly higher in the CEUS group than that in the non-enhanced US group, both in the analysis of overall malignant lesions and in large malignant lesions (all P<0.05).

CONCLUSIONS

The US-PLNB has high sensitivity and thereby obtains HQC samples for subpleural lung malignant lesions. The CEUS helps improve the rate of HQC and tissue cellularity of lung malignancies.

Can Pre-biopsy Second-Look Breast Ultrasound Affect Clinical Management? Experience From a Single Tertiary Hospital

Objectives

Interpretation discrepancy is a major disadvantage of breast imaging. This study aimed to determine the clinical benefit of the pre-biopsy second-look breast ultrasound (US).

Methods

Patients with suspicious breast masses referred to our tertiary hospital for US-guided breast biopsy were retrospectively reviewed between August 2017 and November 2019. Here, second-look assessments were performed by experienced specialized breast radiologists via performing a bilateral breast US scan plus reviewing former imaging studies, and results were compared with the initial assessment. Interpretation changes in terms of biopsy recommendation and surgical management (i.e., lumpectomy to mastectomy) were analyzed.

Results

A total of 537 patients were enrolled in this study. Interpretation discrepancies occurred in 109 patients (20%; 95% CI, 17%–24%). Among them, there were 84 patients (16%; 95% CI, 13%–19%) whose masses were re-classified as BI-RADS 3 by the second-look US and underwent 2-year follow-up, showing 82 benign, 1 malignant, and 1 high-risk lesions. On the other hand, 16 patients (3%; 95% CI, 2%–5%) undertook biopsy at an additional site, identifying 10 new malignant lesions, 3 high-risk lesions, and 3 benign lesions, resulting in surgical management changes in 12 patients. In addition, nine (2%; 95% CI, 1%–3%) patients received discrepant disease ranges, which also altered surgical management. Overall, 21 patients (4%; 95% CI, 3%–6%) got their surgical management altered by the second-look US.

Conclusion

Pre-biopsy second-look assessment of breast US can reduce unnecessary biopsies in 16% of patients and alter surgical management in 4% of patients, suggesting it is a practical and valuable method for patient care improvement.

Relationship Dynamics among Couples Dealing with Breast Cancer: A Systematic Review

Most studies have been concerned with the experiences and needs of women with breast cancer and spouses/partners separately. In this review, the relationship dynamics that characterize the couple’s experience of breast cancer treatment were investigated. Findings will inform both researchers and professionals in the area of oncology. A systematic literature search was performed in CINAHL, PsychINFO, MEDLINE, Scopus and Web of Science. A checklist for qualitative and observational studies was used to evaluate the methodological quality of the studies. Seventeen studies were included, and the synthesis of the literature revealed five domains that characterized the dyadic process: dyadic coping strategies, psychosocial support, communication, the couple’s sexual life and spirituality. The included studies provide the basis for knowledge and awareness about the experience of couples with cancer, the specific dimensions enacted during the breast cancer treatment path and the type of responses that are associated with a positive couple’s adjustment to the disease.

The Role of Imaging in Health Screening: Overview, Rationale of Screening, and Screening Economics

Imaging screening examinations are growing in their indications and volume to identify conditions at an early, treatable stage. The Radiology Research Alliance's 'Role of Imaging in Health Screening' Task Force provides a review of imaging-based screening rationale, economics, and describes established guidelines by various organizations. Various imaging modalities can be employed in screening, and are often chosen based on the specific pathology and patient characteristics. Prevalent disease processes with identifiable progression patterns that benefit from early potentially curative interventions are ideal for screening. Two such examples include colonic precancerous polyp progression to adenocarcinoma in colon cancer formation and atypical ductal hyperplasia progression to ductal carcinoma in situ and invasive ductal carcinoma in breast cancer. Economic factors in imaging-based screening are reviewed, including in the context of value-based reimbursements. Global differences in screening are outlined, along with the role of various organizational guidelines, including the American Cancer Society, the US Preventive Services Task Force, and the American College of Radiology.

[Multivariate Analysis of Solid Pulmonary Nodules Smaller than 1 cm in Distinguishing Lung Cancer from Intrapulmonary Lymph Nodes]

背景与目的

肺实性小结节的术前诊断及鉴别诊断十分困难。计算机断层扫描（computed tomography, CT）作为肺癌筛查的常用手段，被广泛应用于临床。本研究旨在对 < 1 cm的肺实性结节临床诊疗中肺恶性结节与肺内淋巴结患者的临床资料进行分析，为两者的鉴别提供参考。

方法

回顾性分析2017年6月-2020年6月行手术治疗的肺实性结节患者。共收集了145个结节（肺腺癌60个，肺类癌2个，恶性间皮瘤1个，肉瘤样癌1个，淋巴结81个）的患者临床资料，最终分为肺腺癌和肺内淋巴结两组，并对其临床资料进行了统计分析。根据单因素分析（χ²检验、t检验）结果筛选有统计学差异的变量，纳入Logistic回归多因素分析，确定预测变量并绘制受试者工作曲线（receiver operating characteristic, ROC）曲线，得到曲线下面积（area under the curve, AUC）值。

结果

Logistic回归分析显示结节最长径、Max CT值、分叶征和毛刺征是肺腺癌与肺内淋巴结鉴别的重要指标，风险比分别为106.645（95%CI: 3.828-2, 971.220, P < 0.01）、0.980（95%CI: 0.969-0.991, P < 0.01）、3.550（95%CI: 1.299-9.701, P=0.01）、3.618（95%CI: 1.288-10.163, P=0.02）。根据Logistic回归分析结果确定预测模型，绘制ROC曲线，计算曲线下面积AUC值=0.877（95%CI: 0.821-0.933, P < 0.01）。

结论

对于 < 1 cm的肺实性结节，在众多因素中，肺结节最长径、Max CT值、分叶征和毛刺征对鉴别肺恶性结节和肺内淋巴结更为重要。

Ultrasound-guided percutaneous needle biopsy skill for peripheral lung lesions and complications prevention

Background

To investigate puncture skills and complications prevention in ultrasound-guided percutaneous needle biopsy for peripheral lung lesions.

Methods

Ninety-two peripheral lung lesions in 92 patients, detected via computed tomography (CT) and also visible on ultrasound, were retrospectively analyzed. All patients underwent percutaneous peripheral lung lesion needle biopsy under traditional ultrasound or contrast enhanced ultrasound (CEUS) guidance paying attention to avoiding necrotic areas and large blood vessels. All the specimens were examined histopathologically. Preprocedure all 92 lesions were performed by traditional ultrasonography to evaluate the size, the echogenecity, liquefaction areas and blood flow on color Doppler imaging, some of which were performed by CEUS for evaluating non-enhanced necrosis areas, contrast agent arrival time (AT) and characteristics of blood perfusion.

Results

The histopathologic results of all 92 lesions were as follows: 67 malignant tumors (including 28 adenocarcinomas, 19 squamous cell carcinomas, 6 bronchoalveolar carcinomas, 5 small cell carcinomas, 5 metastatic cancers, 3 poorly differentiated cancers and 1 malignant mesothelioma), 20 benign lesions (including 9 pneumonia, 6 inflammatory pseudotumors and 5 tuberculomas), 5 undetermined lesions. Of 52 lesions by CEUS guidance, 7 lesions showed enhancement in the pulmonary arterial-phase (including 6 pneumonia and 1 malignant tumors), 45 lesions showed enhancement in the bronchial artery phase (including 37 malignant tumors, 3 inflammatory pseudotumors, 4 tuberculomas and 1 undetermined lesion). According to needle insertion angle along linear path, a total of 92 lesions were divided into two groups, 49 lesions at an angle of 70°-80° needle insertion and 43 lesions at an angle of 80°-90° needle insertion. In the study, linear and non-linear two puncture paths were used, we first tried to puncture along linear path in all lesions, if an attempt to insert into the lesions failed due to be blocked by the ribs and then changed to puncture along non-linear path instead. The success rate of biopsy procedure along linear puncture was significantly higher at an angle of 80°-90°group (93.0% vs. 20.4%, P<0.01), and the adoption rate of non-linear path biopsy for solving the puncture needle blocked by the ribs was significantly higher at angle of 70°-80°group (79.6% vs. 7.0%, P<0.01). Of 52 lesions by CEUS guidance, 27 (51.9%) showed non enhanced necrosis areas on CEUS, only 5 showed liquefaction necrosis areas on gray-scale ultrasound. Of 40 lesions by traditional ultrasound guidance, 4 showed necrosis areas on gray-scale ultrasound. There were no significant differences in lesion size, the average number of biopsy attempts and complication rates between CEUS guidance group and traditional ultrasound guidance group (P>0.05), the pathological confirmation rate in CEUS guidance group was higher than that in traditional ultrasound guidance group, but without significant difference (98.1% vs. 90.0%, P>0.05). Of all 92 cases, 3 cases (3.3%) had mild pneumothorax and 4 cases (4.3%) had hemoptysis.

Conclusions

In ultrasound-guided needle biopsy for peripheral lung lesions, using a combination of linear and non-linear puncture techniques and keeping away from necrotic areas and large blood vessels, may help to increase the success rate and reduce the incidence of complications further.

Characteristics of contrast-enhanced ultrasonography and strain elastography of locally advanced breast cancer

Background

Locally advanced breast cancer (LABC) is one of the subgroups of invasive breast cancer. The treatment of LABC is neoadjuvant chemotherapy (NAC) before surgery, which is different from the others. The study aimed to analyze and compare the characteristics of conventional ultrasound, contrast-enhanced ultrasonography (CEUS) and strain elastography (SE) in LABC patients who have different treatment outcomes, and to provide help for LABC in the imaging diagnosis and clinic treatment.

Methods

From May 2018 to April 2019, 36 patients (40 lesions) of LABC were enrolled, which diagnosed by puncture biopsy. According to the clinical evaluation, these patients were recommended to undergo pre-operative NAC followed by surgery. All patients underwent conventional ultrasound, CEUS and SE before puncture. According to postoperative pathological grading and follow-up, the patients were divided into effective and ineffective groups. We summarized and compared the features of conventional ultrasound, CEUS and SE of patients in two groups. The correlation between the imaging characteristics and the postoperative pathological grading was also analyzed.

Results

Conventional ultrasonic features of LABC: the most lesions of LABC were mass type (32/40, 80.0%), and all lesions were irregular. Most of lesions showed unclear boundaries (39/40, 97.5%), heterogeneous echoes (38/40, 95.0%), and internal calcifications (24/40, 60.0%). Most of lesions had hyperechoic halos (31/40, 77.5%), aspect ratio less than or equal to 1 (34/40, 85.0%), and blood flow grading was III (36/40, 90.0%). CEUS features of LABC: compared with the surrounding normal tissues, all the lesions (40/40,100.0%) were highly enhanced. Most of lesions (35/40, 87.5%) were uneven enhanced. The main enhancement mode was "fast in and slow out" (39/40, 97.5%). There were totally 25 lesions which had "solar sign" (25/40, 62.5%). SE features of LABC: the average visual elastography score of the lesions was 4.28±0.67, the maximum strain rate (E1) of the lesions averaged 4.88±0.54, and the overall strain rate of the lesion averaged 4.14±0.72. There was no significant difference between effective and ineffective groups in the characteristics of conventional ultrasound, CEUS and SE. There was a correlation between the appearance of "solar sign" in CEUS and postoperative pathological grading, and the contingency coefficient was 0.564 (P<0.05). The pathological grading of patients without solar sign was higher. The other characteristics of conventional ultrasound, CEUS and SE in LABC patients had no correlation with postoperative pathological grading.

Conclusions

In LABC, the conventional ultrasound usually shows irregular shape and unclear boundaries. The aspect ratio is less than or equal to 1. CEUS showed uneven enhancement of "fast in and slow out", and "solar sign" was often seen. Elastography showed that the texture of the lesion was significantly stiffer than the surrounding normal tissue. Ultrasound imaging before NAC had no relationship with pathological complete response or not. However, "solar sign" in CEUS was an important feature and had correlation with postoperative pathological grading.

An investigation of the classification accuracy of a deep learning framework-based computer-aided diagnosis system in different pathological types of breast lesions

Background

Deep learning-based computer-aided diagnosis (CAD) is an important method in aiding diagnosis for radiologists. We investigated the accuracy of a deep learning-based CAD in classifying breast lesions with different histological types.

Methods

A total of 448 breast lesions were detected on ultrasound (US) and classified by an experienced radiologist, a resident and deep learning-based CAD respectively. The pathological results of the lesions were chosen as the golden standard. The diagnostic performances of the three raters in different pathological types were analyzed.

Results

For the overall diagnostic performance, deep learning-based CAD presented a significantly higher specificity (76.96%) compared with the two radiologists. The area under ROC of CAD was almost equal with the experienced radiologist (0.81 vs. 0.81), while significantly higher than the resident (0.81 vs. 0.70, P<0.0001). In the benign lesions, deep learning-based CAD had a higher accuracy than both the two radiologists, which correctly classified as benign lesions in 119/135 of fibroadenomas (88.1%), 25/35 of adenosis (71.4%), 14/27 of intraductal papillary tumors (51.9%), 5/10 of inflammation (50%), and 4/8 of sclerosing adenosis (50%). But only the differences between CAD and the two radiologists in fibroadenomas had statistical significance (P=0.0011 and P=0.0313), and the differences between CAD and the resident in adenosis had statistical significance (P=0.012). In the malignant lesions, 151/168 of invasive ductal carcinomas (89.9%), 21/29 of ductal carcinoma in situ (DCIS) (72.4%) and 6/7 of invasive lobular carcinomas (85.7%) were diagnosed as malignancies by deep learning-based CAD, with no significant differences between CAD and the two radiologists.

Conclusions

In the diagnosis of these common types of breast lesions, deep learning-based CAD had a satisfying performance. Deep learning-based CAD had a better performance in the breast benign lesions, especially in fibroadenomas and adenosis. Therefore, deep learning-based CAD is a promising supplemental tool to US to increase the specificity and avoid unnecessary benign biopsies.

Quantitative radiomic model for predicting malignancy of small solid pulmonary nodules detected by low-dose CT screening

Background

It is a permanent challenge to differentiate small solid lung nodules. Massive data, extracted from medical image through radiomics analysis, may help early diagnosis of lung cancer. The aim of this study was to assess the usefulness of a quantitative radiomic model developed from baseline low-dose computed tomography (LDCT) screening for the purpose of predicting malignancy in small solid pulmonary nodules (SSPNs).

Methods

This retrospective study included malignant and benign SSPNs (6 to 15 mm) detected in baseline low-dose CT screening. The malignancy was confirmed pathologically, and benignity was confirmed by long term follow-up or pathological diagnosis. The non-contrast CT images were reconstructed with a lung kernel of a slice thickness of 1 mm and were processed to extract 385 quantitative radiomic features using Analysis-Kinetic software. A predictive model was established with the training set of 156 benign and 40 malignant nodules, and was tested with the validation set of 77 benign and 21 malignant nodules through the analysis of R square. The performance of the radiomic model in predicting malignancy was compared with that of the ACR Lung Imaging Reporting and Data System (ACR lung-RADS).

Results

In 294 cases of SSPNs, 61 lung cancers and 24 benign nodules were confirmed pathologically and the remaining 209 nodules were stable with long-term follow-up (4.1±0.9 years). Eleven non-redundant features, including 8 high-order texture features, were extracted from the training data set. The sensitivity and specificity of the prediction model in malignancy differentiation were 81.0% and 92.2% respectively. The accuracy was superior to ACR-lung RADS (89.8% vs. 76.5%).

Conclusions

A radiomic model based on baseline low-dose CT screening for lung cancer can improve the accuracy in predicting malignancy of SSPNs.