The purpose of this study was to analyze the value of transrectal shear-wave elastography (SWE) in combination with multivariable tools for predicting adverse pathological features before radical prostatectomy (RP). Preoperative clinicopathological variables, multiparametric magnetic resonance imaging (mp-MRI) manifestations, and the maximum elastic value of the prostate (Emax) on SWE were retrospectively collected. The accuracy of SWE for predicting adverse pathological features was evaluated based on postoperative pathology, and parameters with statistical significance were selected. The diagnostic performance of various models, including preoperative clinicopathological variables (model 1), preoperative clinicopathological variables + mp-MRI (model 2), and preoperative clinicopathological variables + mp-MRI + SWE (model 3), was evaluated with area under the receiver operator characteristic curve (AUC) analysis. Emax was significantly higher in prostate cancer with extracapsular extension (ECE) or seminal vesicle invasion (SVI) with both P < 0.001. The optimal cutoff Emax values for ECE and SVI were 60.45 kPa and 81.55 kPa, respectively. Inclusion of mp-MRI and SWE improved discrimination by clinical models for ECE (model 2 vs model 1, P = 0.031; model 3 vs model 1, P = 0.002; model 3 vs model 2, P = 0.018) and SVI (model 2 vs model 1, P = 0.147; model 3 vs model 1, P = 0.037; model 3 vs model 2, P = 0.134). SWE is valuable for identifying patients at high risk of adverse pathology.
Male ; Humans ; Prostate/pathology* ; Seminal Vesicles/diagnostic imaging* ; Elasticity Imaging Techniques ; Retrospective Studies ; Extranodal Extension/pathology* ; Neoplasm Staging ; Prostatectomy/methods* ; Prostatic Neoplasms/pathology* ; Magnetic Resonance Imaging/methods*

At present, preoperative assessment of rectal cancer stage mainly relies on imaging examination, and the results of imaging reading will directly determine the treatment. In order to alleviate the reading pressure of the radiologist and improve the efficiency and accuracy of imaging diagnosis, there are related studies on using artificial intelligence automatic recognition system to assist the imaging assessment of rectal cancer staging now. Colorectal Surgery Group, Chinese Society of Surgery of the Chinese Medical Association, along with Beihang University, proposed the expert's advice on the surgical clinical application of rectal cancer staging recognition system based on artificial intelligence platform, so as to guide the standard application of this technology and promote the automation and intelligence of imaging reading.
Artificial Intelligence ; Diagnostic Imaging ; Digestive System Surgical Procedures ; Humans ; Magnetic Resonance Imaging ; Neoplasm Staging ; Rectal Neoplasms/surgery*

The International Agency for Research on Cancer (IARC) published the World Health Organization (WHO) classification of thoracic tumors (5th edition) in May 2021, only six years after the 4th edition of WHO Classification. With the application of low-dose spiral computed tomography (CT) as an early screening method for lung tumors in recent years, lung adenocarcinoma has become the main type of disease in many hospital surgical treatments. The WHO classification serves as the authoritative guide for pathological diagnosis, and any slight change in the classification is at the heart of pathologists, clinicians and patients. Adenocarcinoma in situ is a newly added type of adenocarcinoma diagnosis in the 4th edition of the WHO classification, and it is also the focus of clinical treatment and research at home and abroad in recent years. Because its catalog position has been adjusted in the 5th edition of the WHO classification, there has been a huge controversy and discussion among clinicians and patients that "adenocarcinoma in situ was excluded from the category of malignant tumors". This article will briefly explain the origin of the diagnosis of lung adenocarcinoma in situ, the adjustment of the new classification catalog, and whether adenocarcinoma in situ is benign or malignant.
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Adenocarcinoma in Situ/pathology* ; Adenocarcinoma of Lung/diagnostic imaging* ; Humans ; Lung Neoplasms/pathology* ; Neoplasm Staging

OBJECTIVE: To evaluate the performance of 3.0T magnetic resonance imaging examination (MRI) for the local detecting of muscle invasive bladder cancer following transurethral resection of bladder tumor (TURBT). METHODS: Retrospective study identified 55 patients with pathology-proven bladder cancer who underwent transurethral resection of bladder tumor followed by 3.0T magnetic resonance imaging between September 2012 and April 2019 in our hospital. Two radiologists reviewed pelvic magnetic resonance imaging together and judged muscle invasive bladder cancer. Sensitivity, specificity and accuracy were calculated for the presence of muscle invasion by T2 weighted imaging (T2WI) only, diffusion-weighted imaging (DWI) only and T2WI+DWI compared with the findings at radical cystectomy as the reference standard. RESULTS: Of the 55 patients with pathological results from radical cystectomy, 3.64% (2/55) had no residual disease; 29.09% (16/55) were non-muscle invasive bladder cancer on pathology, including 13 cases in T1 and 3 cases in Ta; 34.55% (19/55) were in stage T2 depending on pathology, 25.45% (14/55) in T3, and 7.27% (4/55) in T4. The average age was 60.76 years, ranging from 42 to 82 years. There were 48 males and 7 females in our study. Before pelvic MRI examination, all the patients received transurethral resection of bladder tumor, including 16 cases taking the operation in our hospital and 39 cases in other hospitals. The interval between the pelvic MRI examination and transurethral resection of bladder tumor was more than 2 weeks in all the patients. They all underwent radical cystectomy within 1 month after the pelvic MRI examination, and no patient underwent radiotherapy or chemotherapy in our study during the interval between the MRI examination and radical cystectomy. T2WI only, DWI only, and T2WI+DWI of 3.0T magnetic resonance imaging for readers were with sensitivity: 94.59%, 83.78%, 91.89%; with specificity: 66.67%, 77.78%, 72.22% and with accuracy: 85.45%, 81.82%, 85.45%, respectively. CONCLUSION 3.0T MRI may have a role in diagnosing muscle invasive bladder cancer following TURBT. T2WI has the advantage of detecting the location of bladder tumor, and DWI has the advantage of differentiating between the benign and malignant lesion. 3.0T MRI T2WI+DWI has a good utility in the detection of muscle invasive bladder cancer following TURBT with satisfied accuracy.
Adult ; Aged ; Aged, 80 and over ; Cystectomy ; Female ; Humans ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Neoplasm Staging ; Retrospective Studies ; Urinary Bladder Neoplasms/diagnostic imaging*

The accurate judgement of the upper and lower borders of the adenocarcinoma of esophagogastric junction (AEG) by radiology can facilitate the decisions on surgical approach and staging criteria. X-ray double contrast radiography, CT and MRI are the common modalities. The accuracy of X-ray double contrast radiography in determining the invasion length of esophagus and the central point of gastric infiltration can be improved by standardized pretreatment, combination of multiple contrast methods such as double contrast and flow-coating procedure, and combination of multi-angle observations such as conventional frontal, left /right anterior oblique and supine right posterior oblique position. Abdominal enhanced CT is the imaging method recommended by clinical guidelines for the radiological examination of AEG. The relative position of the central point of the tumor from 2 cm line can be determined through the combination of measurement and formula calculation on multi-planar reconstructed CT images. The "three-layer four-type" classification can provide reference for the selection of abdominothoracic incision. The direct demonstration of the tumor extension can be achieved through the CT curved planar reconstruction by drawing lines along esophagus to stomach. The combination of multiple sequences of MRI is helpful to determine the extension of the lesions. In the future, more radiological studies are needed to establish criteria with high accuracy, repeatability and convenient operation,and to assist clinical evaluation of AEG invasion.
Adenocarcinoma ; classification ; diagnostic imaging ; pathology ; surgery ; Contrast Media ; Esophageal Neoplasms ; classification ; diagnostic imaging ; pathology ; surgery ; Esophagogastric Junction ; diagnostic imaging ; pathology ; surgery ; Humans ; Magnetic Resonance Imaging ; Neoplasm Invasiveness ; Neoplasm Staging ; Stomach Neoplasms ; classification ; diagnostic imaging ; pathology ; surgery ; Tomography, X-Ray Computed

BACKGROUND: An artificial intelligence system of Faster Region-based Convolutional Neural Network (Faster R-CNN) is newly developed for the diagnosis of metastatic lymph node (LN) in rectal cancer patients. The primary objective of this study was to comprehensively verify its accuracy in clinical use. METHODS: Four hundred fourteen patients with rectal cancer discharged between January 2013 and March 2015 were collected from 6 clinical centers, and the magnetic resonance imaging data for pelvic metastatic LNs of each patient was identified by Faster R-CNN. Faster R-CNN based diagnoses were compared with radiologist based diagnoses and pathologist based diagnoses for methodological verification, using correlation analyses and consistency check. For clinical verification, the patients were retrospectively followed up by telephone for 36 months, with post-operative recurrence of rectal cancer as a clinical outcome; recurrence-free survivals of the patients were compared among different diagnostic groups, by methods of Kaplan-Meier and Cox hazards regression model. RESULTS: Significant correlations were observed between any 2 factors among the numbers of metastatic LNs separately diagnosed by radiologists, Faster R-CNN and pathologists, as evidenced by rradiologist-Faster R-CNN of 0.912, rPathologist-radiologist of 0.134, and rPathologist-Faster R-CNN of 0.448 respectively. The value of kappa coefficient in N staging between Faster R-CNN and pathologists was 0.573, and this value between radiologists and pathologists was 0.473. The 3 groups of Faster R-CNN, radiologists and pathologists showed no significant differences in the recurrence-free survival time for stage N0 and N1 patients, but significant differences were found for stage N2 patients. CONCLUSION: Faster R-CNN surpasses radiologists in the evaluation of pelvic metastatic LNs of rectal cancer, but is not on par with pathologists. TRIAL REGISTRATION www.chictr.org.cn (No. ChiCTR-DDD-17013842).
Adult ; Aged ; Aged, 80 and over ; Artificial Intelligence ; Female ; Humans ; Lymphatic Metastasis ; Male ; Middle Aged ; Neoplasm Recurrence, Local ; Neoplasm Staging ; Neural Networks (Computer) ; Pathologists ; Radiologists ; Rectal Neoplasms ; diagnostic imaging ; mortality ; pathology

BACKGROUND: Pneumonic-type lung carcinoma is a special type of lung cancer both clinically and radiologically. Here we present our experience on pneumonic-type lung carcinoma in an attempt to investigate the clinical, radiological and pathological features, diagnostic procedures, treatment, and prognosis of this type of tumor. METHODS: Pathologically confirmed lung cancer with a chest CT characterized by ground glass opacity or consolidation was defined as pneumonic-type lung carcinoma. Cases with advanced pneumonic-type lung carcinoma admitted to Peking Union Medical College Hospital (PUMCH) from January 1, 2013 to August 30, 2018 were enrolled. Retrospective analysis of clinical data and survival follow-up of these patients was conducted. RESULTS: A total of 46 cases were enrolled, all of which were adenocarcinoma. Cough (41/46, 89.1%) and expectoration (35/46, 76.1%) were the most prominent symptoms. The most frequent chest CT findings were ground glass attenuation (87.0%), patchy consolidation (84.8%), and multiple ground-glass nodules (84.8%). Multiple cystic changes (40%) and cavitation (13%) were also quite frequent. Ipsilateral and contralateral intrapulmonary metastasis were noted in 95.3% and 84.8% of cases respectively. The median duration from symptom onset to diagnosis was 214 days (95%CI: 129-298). Both surgical lung biopsy and CT-guided percutaneous lung biopsy had a diagnostic yield of 100%. Transbronchial lung biopsy (TBLB) combined with bronchoalveolar lavage (BAL) had a diagnostic yield of 80.9% (17/21). Sputum cytology had a diagnostic yield of 45% (9/20). Twenty-six cases were invasive mucinous adenocarcinoma (26/46, 56.5%) and the remainder were unable to identify pathological subtypes due to lack of adequate biopsy sample size. EGFR mutation was detected in 15.8% (6/38) of patients and ALK rearrangement was detected in 3.0% (1/33) of patients. The median overall survival for these patients was 522 d (95%CI: 424-619). In patients without EGFR mutation or ALK rearrangement, chemotherapy significantly improved survival (HR=0.155, P=0.002,2). The median overall survival was 547 d (95%CI: 492-602 d) with chemotherapy and 331 d (95%CI: 22-919) without chemotherapy. CONCLUSIONS Diagnosis of pneumonic-type carcinoma is usually delayed due to clinical and radiological features mimicking pulmonary infection. TBLB combined with BAL has a quite high diagnostic yield. The most frequent histological type is invasive mucinous adenocarcinoma. The incidence of EGFR mutation or ALK rearrangement is low in pneumonic-type carcinoma. For patients without cancer driver genes, chemotherapy is recommended to improve overall survival.
Aged ; Anaplastic Lymphoma Kinase ; genetics ; metabolism ; Antineoplastic Agents ; therapeutic use ; Carcinoma ; diagnostic imaging ; drug therapy ; genetics ; pathology ; ErbB Receptors ; genetics ; metabolism ; Female ; Gene Rearrangement ; Humans ; Lung Neoplasms ; diagnostic imaging ; drug therapy ; genetics ; pathology ; Male ; Middle Aged ; Mutation ; Neoplasm Staging ; Retrospective Studies ; Survival Analysis ; Tomography, X-Ray Computed

Traditional laparoscopic radical prostatectomy is a treatment choice in many developing countries and regions for most patients with localized prostate cancer; however, no system for predicting surgical difficulty and risk has been established. This study aimed to propose a simple and standard preoperative classification system of prostate cancer using preoperative data to predict surgical difficulty and risk and to evaluate the relationship between the data and postoperative complications. We collected data from 236 patients and divided them into three groups to evaluate and validate the relationships among preoperative, operative, and postoperative data. This new scoring system is based on the body mass index, ultrasonic prostate volume, preoperative prostate-specific antigen level, middle lobe protrusion, and clinical stage. In the scoring group, we classified 89 patients into two groups: the low-risk group (score of <4) and high-risk group (score of ≥4), and then compared the postoperative data between the two groups. The positive surgical margin rate was higher in the high-risk group than low-risk group. The results in validation Groups A and B were similar to those in the scoring group. The focus of our scoring system is to allow for preliminary assessment of surgical difficulty by collecting the patients' basic information. Urologists can easily use the scoring system to evaluate the surgical difficulty and predict the risks of a positive surgical margin and urinary incontinence in patients undergoing laparoscopic radical prostatectomy.
Body Mass Index ; Humans ; Laparoscopy ; Male ; Neoplasm Staging ; Postoperative Complications/epidemiology* ; Predictive Value of Tests ; Preoperative Period ; Prostate/diagnostic imaging* ; Prostate-Specific Antigen/analysis* ; Prostatectomy/statistics & numerical data* ; Prostatic Neoplasms/surgery* ; Risk Assessment ; Ultrasonography

BACKGROUND: Recently, the detectable rate of ground-glass opacity (GGO ) was significantly increased, a appropriate diagnosis before clinic treatment tends to be important for patients with GGO lesions. The aim of this study is to validate the ability of the mean computed tomography (m-CT) value to predict tumor invasiveness, and compared with other measurements such as Max CT value, GGO size, solid size of GGO and C/T ratio (consolid/tumor ratio, C/T) to find out the best measurement to predict tumor invasiveness. METHODS: A retrospective study was conducted of 129 patients who recieved lobectomy and were pathological confirmed as atypical adenomatous pyperplasia (AAH) or clinical stage Ia lung cance in our center between January 2012 and December 2013. Of those 129 patients, the number of patients of AAH, AIS, AIS and invasive adenocarcinoma were 43, 26, 17 and 43, respectively. We defined AAH and AIS as noninvasive cancer (NC), MIA and invasive adenocarcinoma were categorized as invasive cancer(IC). We used receiver operating characteristic (ROC) curve analysis to compare the ability to predict tumor invasiveness between m-CT value, consolidation/tumor ratio, tumor size and solid size of tumor. Multiple logistic regression analyses were performed to determine the independent variables for prediction of pathologic more invasive lung cancer. RESULTS: 129 patients were enrolled in our study (59 male and 70 female), the patients were a median age of (62.0±8.6) years (range, 44 to 82 years). The two groups were similar in terms of age, sex, differentiation (P>0.05). ROC curve analysis was performed to determine the appropriate cutoff value and area under the cure (AUC). The cutoff value of solid tumor size, tumor size, C/T ratio, m-CT value and Max CT value were 9.4 mm, 15.3 mm, 47.5%, -469.0 HU and -35.0 HU, respectively. The AUC of those variate were 0.89, 0.79, 0.82, 0.90, 0.85, respectively. When compared the clinical and radiologic data between two groups, we found the IC group was strongly associated with a high m-CT value, high Max CT value, high C/T ratio and large tumor size. Gender, solid tumor size, tumor size, C/T ratio, m-CT value and MaxCT value were selected factor for multivariate analysis, when using the preoperatively determined variables to predict the tumor invasiveness, revealed that tumor size, C/T ratio, m-CT value and Max CT value were independent predictive factors of IC. CONCLUSIONS The musurements of Max CT value, GGO size, solid size of GGO and C/T ratio were significantly correlated with tumor invasiveness, and the evaluation of m-CT value is most useful musurement in predicting more invasive lung cancer.
Adenocarcinoma ; diagnosis ; diagnostic imaging ; mortality ; pathology ; Adult ; Aged ; Female ; Humans ; Lung Neoplasms ; diagnosis ; diagnostic imaging ; mortality ; pathology ; Male ; Middle Aged ; Neoplasm Invasiveness ; Neoplasm Staging ; ROC Curve ; Retrospective Studies ; Tomography, X-Ray Computed ; methods

BACKGROUND: Malignant pleural effusion (PE) was generally defined as pleural effusion containing tumors with poor prognosis. Some kinds of undefined pleural effusions due to too small amount of effusion had poor prognosis too. This study aimed to analyze the clinical characteristics and prognostic factors of patients who suffered from limited-stage small cell lung cancer (LS-SCLC) complicated with pleural effusion. METHODS: A retrospective analysis included 542 patients who were diagnosed with LS-SCLC and had treatment in our hospital from October 2007 to January 2016. We had observed 109 patients who were diagnosed with pleural effusion at their first visit to the doctor. We analyzed the clinical characters, survival time and the prognostic factors of the 109 patients. Our main observation targets were overall survival (OS) and progression free survival (PFS). RESULTS: The median OS and PFS of whole group were 29.4 and 18.2 months. Before treatment, survival time of patients with PE were significantly shorter than patients without PE (median OS: 21.0 vs 31.7 months; median PFS: 14.1 vs 9.1 months; Log-rank, P=0.001, P=0.014). Multi-factor analysis of multivariate Cox shows PE was the independent prognostic factor of LS-SCLC (P=0.04). Single factor analysis showed factors affecting PE patient's survival time included clinical stages, lymph node (LN) stages, KPS scores, pulmonary atelectasis and the state of pleural after treatment. Cox multi-factor analysis reminded that the state of pleural effusion after treatment was the independent prognostic factor of LS-SCLC complicated with pleural effusion (P=0.016). There were three groups was apportioned patients without pleural effusion before treatment (group 1; n=433), patients whose pleural effusion disappeared after treatment (group 2; n=67) and patients whose pleural effusion didn't disappear after treatment (group 3; n=32).The median OS were 31.7, 23.2, 16.8 months in the group 1, 2, 3 and the median PFS were 19.1, 17.9, 11.4 months. Obvious difference was noted by the comparison of survival time of these three groups (Log-rank P<0.001, P<0.002). The difference between group 2 and group 3 was significant (Log-rank P=0.046, P=0.013) while no obvious difference was noted during comparison of group 1 and group 2. For patients who have LS-SCLC complicated with PE, there is no remarkable difference between chemoradiotherapy and chemotherapy alone. CONCLUSIONS The survival time of patients who suffered from limited-stage small cell lung cancer complicated with pleural effusion was obviously shortened. The disappearing of pleural effusion after treatment was the independent favorable prognostic factor of survival. How to treat needed further investigation.
Aged ; Female ; Follow-Up Studies ; Humans ; Lung Neoplasms ; complications ; diagnosis ; pathology ; Male ; Middle Aged ; Multivariate Analysis ; Neoplasm Staging ; Pleural Effusion ; complications ; Prognosis ; Retrospective Studies ; Small Cell Lung Carcinoma ; complications ; diagnostic imaging ; pathology