Israel Medical Association Journal

Background: For locally advanced rectal cancer patients a watch-and-wait strategy is an acceptable treatment option in cases of complete tumor response. Clinicians need robust methods of patient selection after neoadjuvant chemoradiation.

Objectives: To predict pathologic complete response (pCR) using computer vision. To analyze radiomic wavelet transform to predict pCR.

Methods: Neoadjuvant chemoradiation for patients with locally advanced rectal adenocarcinoma who passed computed tomography (CT)-based simulation procedures were examined. Gross tumor volume was examind on the set of CT simulation images. The volume has been analyzed using radiomics software package with wavelets feature extraction module. Statistical analysis using descriptive statistics and logistic regression was performed was used. For prediction evaluation a multilayer perceptron algorithm and Random Forest model were used.

Results: In the study 140 patients with II–III stage cancer were included. After a long course of chemoradiation and further surgery the pathology examination showed pCR in 38 (27.1%) of the patients. CT-simulation images of tumor volume were extracted with 850 parameters (119,000 total features). Logistic regression showed high value of wavelet contribution to model. A multilayer perceptron model showed high predictive importance of wavelet. We applied random forest analysis for classifying the texture and predominant features of wavelet parameters. Importance was assigned to wavelets.

Conclusions: We evaluated the feasibility of using non-diagnostic CT images as a data source for texture analysis combined with wavelets feature analysis for predicting pCR in locally advanced rectal cancer patients. The model performance showed the importance of including wavelets features in radiomics analysis.

Background: With the recent introduction of high-sensitivity troponin (hsTn), the incremental benefit of stress myocardial perfusion imaging (MPI) in the evaluation of patients who present to the emergency department (ED) with acute coronary syndrome (ACS) is unclear.

Objectives: To assess the added value of stress MPI in low-risk ACS patients with normal range hsTnI.

Methods: We analyzed all patients who were hospitalized at our medical center from February 2016 to November 2017, who presented with low-risk ACS and underwent stress MPI, and in whom hsTnI was in the normal range after the introduction of hsTnI.

Results: During the study period, 161 patients were admitted with a diagnosis of unstable angina (i.e., ACS with normal range hsTnI) and underwent stress MPI during index admission. The study population included 52/161 patients (31.7%) with low-risk ACS who had no indication for initial invasive strategy. No patients had positive MPI. One patient underwent coronary angiography due to suggestive history; however, he did not have a significant coronary artery disease and had no indication for percutaneous coronary intervention.

Conclusions: In patients with low-risk ACS and normal range hsTnI without additional high-risk features, stress MPI has little additional value for the correct diagnosis and management. Prospective studies are warranted to confirm whether resting hsTnI could serve as a powerful triage tool in chest pain patients in the ED before diagnostic testing and thus, improve patient management.

Objectives: To report our first year experience with a CPU located in an internal medicine department as compared to the year before establishment of the CPU.

Methods: We retrospectively evaluated the medical records of consecutive patients who were admitted to our internal medicine department for the investigation of chest pain for 2 different years: a year before and a year after the establishment of the CPU in the department. We focused on the patients' characteristics and the impact of the CPU regarding the investigational modalities used and the length of in-hospital stay.

Results: In the year before establishment of the CPU, 258 patients were admitted to our department with chest pain, compared to 417 patients admitted to the CPU in the first year of its operation. All patients were followed for serial electrocardiographic and cardiac enzyme testing. All CPU patients (100%) underwent investigation compared to only 171 patients (66%) in the pre-CPU year. During the year pre-CPU, 164 non-invasive tests were performed (0.64 tests per patient) compared to 506 tests (1.2 tests/patient) in the CPU population. Coronary arteriography was performed in 35 patients (14%) during the pre-CPU year, mostly as the first test performed, compared to 61 patients (15%) during the CPU year, mostly as a second test, with only 5 procedures (1.1%) being the first test performed. The length of hospitalization was significantly shorter during the CPU year, 37.8 ± 29.4 hours compared to 66.8 ± 46 hours in the pre-CPU year.

Conclusions: Establishment of a CPU in an internal medicine department significantly decreased the need for invasive coronary arteriography as the first modality for investigating patients admitted with chest pain, significantly decreased the need for invasive procedures (especially where no intervention was performed), and significantly shortened the hospitalization period. CPU is an effective facility for rapid and effective investigation of patients admitted with chest pain. 

Background: The histologic status of axillary lymph nodes is one of the most important prognostic factors in breast cancer, influencing the management of these patients. Axillary lymph node dissection was traditionally performed in all patients to obtain this information but this procedure carries a considerable rate of complications. Recently, sentinel lymph node biopsy has emerged as an accurate and minimally invasive tool for predicting the axillary nodal status and has become the standard of care in selected patients with breast cancer.

Objective: To examine the accuracy of SLN[1] biopsies performed by surgical residents during surgical resident training.

Methods: This prospective, randomized controlled study included 100 consecutive patients with clinically early breast cancer (T1-T2, N0, M0) study. Lymphatic mapping was performed using radiotracers, blue dye, or both. Formal axillary lymph node dissection completed the operations in all patients. All operations were performed by surgical residents under the supervision of senior surgeons.

Results: The overall rate of identification of sentinel lymph nodes was 92%. The accuracy of SLN biopsy in reflecting the axillary nodal status was 96% with a false negative rate of 5.7%.

Conclusions: Sentinel lymph node biopsy is an accurate method for the evaluation and staging of regional lymph nodes in breast cancer patients. A dedicated instruction program for surgical residents may increase the standard of care and lead to highly trained surgeons in the management of early breast cancer.

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