scholarly journals Choroidal Metastasis as the Initial Presentation of Rectal Adenocarcinoma

2021 ◽  
Author(s):  
FNU Amisha ◽  
Tanvi Harishbhai Patel ◽  
Shubham Biyani ◽  
Prachi Saluja ◽  
Nitesh Gautam ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Lung Metastasis ◽  
Vision Loss ◽  
Treatment Options ◽  
Rectal Adenocarcinoma ◽  
Unknown Primary ◽  
Evidence Based ◽  
Rare Occurrence ◽  
Choroidal Metastasis ◽  
Evidence Based Treatment

Choroidal metastasis from rectal cancer is a rare occurrence with limited literature on appropriate evidence-based treatment options. We describe the case of 44-year-old man who presented with left-sided painful vision loss who was found to have left choroidal and multiple lung metastasis from an unknown primary which was later found to be rectal adenocarcinoma.

scholarly journals Current and emerging evidence-based treatment options in chronic migraine: a narrative review

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Elio Clemente Agostoni ◽  
◽  
Piero Barbanti ◽  
Paolo Calabresi ◽  
Bruno Colombo ◽  
...  
Keyword(s):  
Chronic Migraine ◽  
Treatment Options ◽  
Narrative Review ◽  
Evidence Based ◽  
Evidence Based Treatment

Sacroiliac Joint Dysfunction

2018 ◽  
Author(s):  
Victor Foorsov ◽  
Omar Dyara ◽  
Robert Bolash ◽  
Bruce Vrooman
Keyword(s):  
Low Back Pain ◽  
Sacroiliac Joint ◽  
Joint Pain ◽  
Treatment Options ◽  
Evidence Based ◽  
Low Back ◽  
Common Cause ◽  
Evidence Based Treatment ◽  
Sacroiliac Joint Dysfunction ◽  
Radiologic Imaging

Sacroiliac joint dysfunction is a common cause of chronic low back pain. Certain populations are particularly susceptible to disorders of this unique joint. Anatomically, the joint is complex, and the clinician must understand both intrinsic and extrinsic structures in its vicinity. Unfortunately, there are no particular pathognomonic findings on radiologic imaging. A cluster of physical examination findings has been recognized as demonstrating sacroiliac joint pain. Various treatment options exist in the evidence-based treatment of this condition.

Early experience with IBM Watson for Oncology (WFO) cognitive computing system for lung and colorectal cancer treatment.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 8527-8527 ◽  
Author(s):  
S.P. Somashekhar ◽  
Martín-J. Sepúlveda ◽  
Andrew D Norden ◽  
Amit Rauthan ◽  
Kumar Arun ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Rectal Cancer ◽  
Computing System ◽  
Treatment Recommendations ◽  
Evidence Based ◽  
Metastatic Colon Cancer ◽  
Cognitive Computing ◽  
Evidence Based Treatment ◽  
Tumour Board ◽  
Ibm Watson

8527 Background: IBM Watson for Oncology is an artificial intelligence cognitive computing system that provides confidence-ranked, evidence-based treatment recommendations for cancer. In the present study, we examine the level of agreement for lung and colorectal cancer therapy between the multidisciplinary tumour board from Manipal Comprehensive Cancer Centre in Bangalore, India, and Watson for Oncology. Methods: Watson for Oncology is a Memorial Sloan Kettering Cancer Center (New York, USA) trained cognitive computing system that uses natural language processing and machine learning to provide treatment recommendations. It processes structured and unstructured data from medical literature, treatment guidelines, medical records, imaging, lab and pathology reports, and the expertise of Memorial Sloan Kettering experts to formulate therapeutic recommendations. Treatment recommendations are provided in three categories: recommended, for consideration and not recommended. In this report we provide the results of the independent and blinded evaluation by the multidisciplinary tumour board and Watson for Oncology of 362 total cancer cases comprised of 112 lung, 126 colon and 124 rectal cancers seen at the Centre within the last three years. The recommendations of the two agents were compared for agreement and considered concordant when the tumour board recommendation was included in the recommended or for consideration categories of the treatment advisor. Results: Overall, treatment recommendations were concordant in 96.4% of lung, 81.0% of colon and 92.7% of rectal cancer cases. By tumour stage, treatment recommendations were concordant in 88.9% of localized and 97.9% of metastatic lung cancer, 85.5% of localized and 76.6% of metastatic colon cancer, and 96.8% of localized and 80.6% of metastatic rectal cancer. Conclusions: Treatment recommendations made by the Manipal multidisciplinary tumour board and Watson for Oncology were highly concordant in the cancers examined. This cognitive computing technology holds much promise in helping oncologists make information intensive, evidence based treatment decisions.

scholarly journals The Complexity Approach to Phonological Treatment: How to Select Treatment Targets

2018 ◽  
Vol 49 (3) ◽  
pp. 463-481 ◽  
Author(s):  
Holly L. Storkel
Keyword(s):  
Clinical Practice ◽  
Preschool Children ◽  
Treatment Options ◽  
Target Selection ◽  
Evidence Based ◽  
Treatment Target ◽  
Evidence Based Treatment ◽  
Phonological Disorders ◽  
Link Type ◽  
Phonological Treatment

Purpose There are a number of evidence-based treatments for preschool children with phonological disorders (Baker & McLeod, 2011). However, a recent survey by Brumbaugh and Smit (2013) suggests that speech-language pathologists are not equally familiar with all evidence-based treatment alternatives, particularly the complexity approach. The goal of this clinical tutorial is to provide coaching on the implementation of the complexity approach in clinical practice, focusing on treatment target selection. Method Evidence related to selecting targets for treatment based on characteristics of the targets (i.e., developmental norms, implicational universals) and characteristics of children's knowledge of the targets (i.e., accuracy, stimulability) is reviewed. Free resources are provided to aid clinicians in assessing accuracy and stimulability of singletons and clusters. Use of treatment target selection and generalization prediction worksheets is illustrated with 3 preschool children. Results Clinicians can integrate multiple pieces of information to select complex targets and successfully apply the complexity approach to their own clinical practice. Conclusion Incorporating the complexity approach into clinical practice will expand the range of evidence-based treatment options that clinicians can use when treating preschool children with phonological disorders. Supplemental Material S1 https://doi.org/10.23641/asha.6007562 KU ScholarWorks Supplemental Material http://hdl.handle.net/1808/24767

scholarly journals AGO Algorithms for the Treatment of Breast Cancer: Update 2021

2021 ◽  
Vol 81 (10) ◽  
pp. 1101-1111
Author(s):  
Andreas Schneeweiss ◽  
Peter A. Fasching ◽  
Tanja Fehm ◽  
Bernd Gerber ◽  
Christian Jackisch ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Performance Status ◽  
Treatment Options ◽  
Metastatic Breast ◽  
Treatment Decision ◽  
Evidence Based ◽  
Treatment Algorithms ◽  
Actual Treatment ◽  
Therapy Options ◽  
Evidence Based Treatment

AbstractTherapy options shown in the algorithms are based on the current AGO recommendations, but cannot represent all evidence-based treatment options, since prior therapies, performance status, comorbidities, patient preference, etc. must be taken into account for the actual treatment choice. In individual cases, other evidence-based treatment options may also be appropriate and justified. Regardless of approval status, the algorithms only take into account drugs that were available in Germany at the time the algorithm was last updated. Here we present the 2021 update of AGO treatment algorithms for early and metastatic breast cancer, which are intended to intensify structured treatment decision by providing reproducible and evidence-based treatment paths and may be helpful for a broad treatment landscape.

scholarly journals Therapy Algorithms for the Diagnosis and Treatment of Patients with Early and Advanced Breast Cancer

Breast Care ◽  
2020 ◽  
Vol 15 (6) ◽  
pp. 608-618
Author(s):  
Andreas Schneeweiss ◽  
Ingo Bauerfeind ◽  
Tanja Fehm ◽  
Wolfgang Janni ◽  
Christoph Thomssen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Advanced Breast Cancer ◽  
Endocrine Therapy ◽  
Treatment Options ◽  
Metastatic Breast ◽  
Evidence Based ◽  
Complex Treatment ◽  
Her2 Positive ◽  
Evidence Based Treatment

<b><i>Background:</i></b> In order to offer optimal treatment approaches based on available evidence, the Commission Breast of the Working Group Gynecologic Oncology (AGO) of the German Cancer Society developed therapy algorithms for eight complex treatment situations in primary and advanced breast cancer. <b><i>Summary:</i></b> Therapy algorithms for the following complex treatment situations are outlined in this paper: (neo)adjuvant therapy of human epidermal growth factor receptor 2 (HER2)-positive breast cancer; axillary surgery and neoadjuvant chemotherapy; adjuvant endocrine therapy in premenopausal patients; adjuvant endocrine therapy in postmenopausal patients; hormone receptor (HR)-positive/HER2-negative metastatic breast cancer: strategies; HR-positive/HER2-negative metastatic breast cancer: endocrine-based first-line treatment; HER2-positive metastatic breast cancer: first to third-line; metastatic triple-negative breast cancer. <b><i>Key Messages:</i></b> The therapy options shown in these algorithms are based on the current AGO recommendations updated in January 2020 but cannot represent all evidence-based treatment options. Prior therapies, performance status, comorbidities, patient preference, etc. must be taken into account for the actual treatment choice. Therefore, in individual cases, other evidence-based treatment options not listed here may also be appropriate and justified.

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