Browsing by Author "Hughes, Kevin"
Now showing items 1-20 of 20
-
BRCAPRO Validation, Sensitivity of Genetic Testing ofBRCA1/BRCA2, and Prevalence of Other Breast Cancer Susceptibility Genes
Berry, Donald A.; Iversen, Edwin S.; Gudbjartsson, Daniel F.; Hiller, Elaine H.; Garber, Judy Ellen; Peshkin, Beth N.; Lerman, Caryn; Watson, Patrice; Lynch, Henry T.; Hilsenbeck, Susan G.; Rubinstein, Wendy S.; Hughes, Kevin S.; Parmigiani, Giovanni (American Society of Clinical Oncology (ASCO), 2002) -
Breast cancer risk assessment: How risk models can “overdiagnose” risk.
Ozanne, Elissa; Drohan, Brian; Hughes, Kevin S. (American Society of Clinical Oncology (ASCO), 2013)Background: Overdiagnosis is commonly defined as a diagnosis of "disease" which will never cause symptoms or death during a patient's lifetime. Similarly, overdiagnosis can also happen when individuals are given the diagnosis ... -
Breast cancer screening in the era of density notification legislation: summary of 2014 Massachusetts experience and suggestion of an evidence-based management algorithm by multi-disciplinary expert panel
Freer, Phoebe E.; Slanetz, Priscilla Jennings; Haas, Jennifer S.; Tung, Nadine Muskatel; Hughes, Kevin S.; Armstrong, Katrina Alison; Semine, A. Alan; Troyan, Susan L.; Birdwell, Robyn Leah (Springer Science + Business Media, 2015)Purpose: Stemming from breast density notification legislation in Massachusetts effective 2015, we sought to develop a collaborative evidence-based approach to density notification that could be used by practitioners across ... -
Clinical Outcome of Breast Cancer Occurring after Treatment for Hodgkin's Lymphoma: Case-Control Analysis
El-Din, Mohamed A Alm; Hughes, Kevin S.; Raad, Rita A; Goldberg, Saveli I; Aisenberg, Alan Clifford; Niemierko, Andrzej; Taghian, Alphonse G. (BioMed Central, 2009)Background: To evaluate diagnosis, management and outcome of breast cancer (BC) occurring after irradiation for Hodgkin's lymphoma (HL). Methods: 39 cases of BC in 28 HL survivors were retrospectively reviewed. 21 patients ... -
The feasibility of using natural language processing to extract clinical information from breast pathology reports
Hughes, Kevin S.; Buckley, Julliette M; Coopey, Suzanne; Sharko, John; Polubriaginof, Fernanda; Drohan, Brian; Belli, Ahmet K; Kim, Elizabeth M. H.; Garber, Judy Ellen; Smith, Barbara Lynn; Gadd, Michele Annette; Specht, Michelle Connolly; Roche, Constance A; Gudewicz, Thomas Michael (Medknow, 2012)Objective: The opportunity to integrate clinical decision support systems into clinical practice is limited due to the lack of structured, machine readable data in the current format of the electronic health record. Natural ... -
Identifying Health Information Technology Needs of Oncologists to Facilitate the Adoption of Genomic Medicine: Recommendations From the 2016 American Society of Clinical Oncology Omics and Precision Oncology Workshop
Hughes, Kevin; Ambinder, Edward; Hess, Gregory; Yu, Peter; Bernstam, Elmer; Routbort, Mark; Clemenceau, Jean; Hamm, John; Febbo, Phillip; Domdek, Susan; Chen, James; Warner, JeremyAt the ASCO Data Standards and Interoperability Summit held in May 2016, it was unanimously decided that four areas of current oncology clinical practice have serious, unmet health information technology needs. The following ... -
Long-term Risk of False-Positive Screening Results and Subsequent Biopsy as a Function of Mammography Use
Blanchard, Karen; Colbert, James Adam; Kopans, Daniel Benjamin; Moore, Richard; Halpern, Elkan F.; Hughes, Kevin S.; Smith, Barbara L; Tanabe, Kenneth Kenji; Michaelson, James Selib (Radiological Society of North America (RSNA), 2006) -
Lumpectomy plus Tamoxifen with or without Irradiation in Women 70 Years of Age or Older with Early Breast Cancer
Hughes, Kevin S.; Schnaper, Lauren; Berry, Donald; Cirrincione, Constance; McCormick, Beryl; Shank, Brenda; Wheeler, Judith; Champion, Lorraine; Smith, Thomas; Smith, Barbara Lynn; Shapiro, Charles; Muss, Hyman; Winer, Eric; Hudis, Clifford; Wood, William; Sugarbaker, David; Henderson, Craig; Norton, Larry (New England Journal of Medicine (NEJM/MMS), 2004)Background: In women 70 years of age or older who have early breast cancer, it is unclear whether lumpectomy plus tamoxifen is as effective as lumpectomy followed by tamoxifen plus radiation therapy. Methods: Between July ... -
Lumpectomy Plus Tamoxifen With or Without Irradiation in Women Age 70 Years or Older With Early Breast Cancer: Long-Term Follow-Up of CALGB 9343
Hughes, Kevin; Schnaper, Lauren; Bellon, Jennifer; Cirrincione, Constance; Berry, Donald; McCormick, Beryl; Muss, Hyman; Smith, Barbara; Hudis, Clifford (American Society of Clinical Oncology, 2013)Purpose: To determine whether there is a benefit to adjuvant radiation therapy after breast-conserving surgery and tamoxifen in women age 70 years with early-stage breast cancer. Patients and Methods: Between July 1994 ... -
Prediction of primary breast cancer size and T-stage using micro-computed tomography in lumpectomy specimens
Sarraj, WafaM; Tang, Rong; Najjar, Anas L; Griffin, Molly; Bui, Anthony H; Zambeli-Ljepovic, Alan; Senter-Zapata, Mike; Lewin-Berlin, Maya; Fernandez, Leopoldo; Buckley, Juliette; Ly, Amy; Brachtel, Elena F.; Aftreth, Owen; Gilbertson, John R; Yagi, Yukako; Gadd, Michele Annette; Hughes, Kevin S.; Smith, BarbaraL; Michaelson, JamesS (Medknow, 2015)Background: Histopathology is the only accepted method to measure and stage the breast tumor size. However, there is a need to find another method to measure and stage the tumor size when the pathological assessment is not ... -
A program to increase use of chemoprevention for women with high-risk breast lesions.
Roche, Constance A.; Hughes, Kevin S. (American Society of Clinical Oncology (ASCO), 2012)Background: Tamoxifen, raloxifene, and exemestane have been demonstrated to reduce risk of breast cancer in high-risk women, bututilization is very low.Among the reasons cited are lack of awareness and reluctance of ... -
Providing access to risk prediction tools via the HL7 XML-formatted risk web service
Chipman, Jonathan; Drohan, Brian; Blackford, Amanda; Parmigiani, Giovanni; Hughes, Kevin S.; Bosinoff, Phil (Springer Nature, 2013)Background: Cancer risk prediction tools provide valuable information to clinicians but remain computationally challenging. Many clinics find that Ca Gene or Hughes Risk Apps fit their needs for easy- and ready-to-use ... -
Quality of Cancer Family History and Referral for Genetic Counseling and Testing Among Oncology Practices: A Pilot Test of Quality Measures As Part of the American Society of Clinical Oncology Quality Oncology Practice Initiative
Hughes, Kevin; Wood, Marie; Kadlubek, Pamela; Pham, Trang; Wollins, Dana; Lu, Karen; Weitzel, Jeffrey; Neuss, MichaelPurpose: Family history of cancer (CFH) is important for identifying individuals to receive genetic counseling/ testing (GC/GT). Prior studies have demonstrated low rates of family history documentation and referral for ... -
Reply to A.S. Sie et al, K. Hemminki et al, and J. Larsen Haidle
Wood, Marie E.; Lu, Karen; Wollins, Dana; Hughes, Kevin (American Society of Clinical Oncology (ASCO), 2014-10-10)We agree with Hemminki et al1 that family history information can be used to identify individuals at both hereditary and familial cancer risk. We also agree that, in general, the percentage of any cancer type attributed ... -
Reply to E. Ramos et al
Hughes, Kevin S. (American Society of Clinical Oncology (ASCO), 2018) -
Resection of the Liver for Colorectal Carcinoma Metastases A Multi-institutional Study of Long-term Survivors
Hughes, Kevin S.; Rosenstein, Rebecca; Songhorabodi, Sate; Adson, Martin; Ilstrup, Duane; Fortner, Joseph; Maclean, Barbara; Foster, James; Daly, John; Fitzherbert, Diane; Sugarbaker, Paul; Iwatsuki, Shunzaboro; Starzl, Thomas; Ramming, Kenneth; Longmire, William; O'Toole, Kathy; Petrelli, Nicholas; Herrera, Lemuel; Cady, Blake; McDermott, William; Nims, Thomas; Enker, Warren; Coppa, Gene; Blumgart, Leslie; Bradpiece, Howard; Urist, Marshall; Aldrete, Joaquin; Schlag, Peter; Hohenberger, Peter; Steele, Glenn; Hodgson, W. John; Hardy, Thomas; Harbora, Denise; McPherson, T. Alexander; Lim, Christopher; Dillon, Daniel G.; Happo, Richard; Ripepi, Phillip; Villella, Edward; Smith, William; Rossi, Ricardo; Remine, Stephen; Oster, Mary; Connolly, David; Abrams, Jerome; Al-Jurf, Adel; Hobbs, K.E.F.; Li, Michael K. W.; Howard, Ted; Lee, Emonuel (1988)In this review of a collected series of patients undergoing hepatic resection for colorectal metastases, 100 patients were found to have survived greater than five years from the time of resection. Of these 100 long-term ... -
Resection of the liver for colorectal carcinoma metastases: A multi-institutional study of indications for resection
Hughes, Kevin S. (Elsevier, 1988)In an investigation of the indications for hepatic resection in the treatment of colorectal carcinoma metastases, the records of 859 patients who had undergone this procedure were reviewed. This patient group, from 24 ... -
Sentinel lymph node biopsy at the time of mastectomy does not increase the risk of lymphedema: implications for prophylactic surgery
Miller, Cynthia Louise; Specht, Michelle Connolly; Skolny, Melissa N.; Jammallo, Lauren S.; Horick, Nora; O’Toole, Jean; Coopey, Suzanne; Hughes, Kevin S.; Gadd, Michele Annette; Smith, Barbara Lynn; Taghian, Alphonse G. (Springer Nature, 2012)Women diagnosed with or at high risk for breast cancer increasingly choose prophylactic mastectomy. It is unknown if adding sentinel lymph node biopsy (SLNB) to prophylactic mastectomy increases the risk of lymphedema. We ... -
Simplifying clinical use of the genetic risk prediction model BRCAPRO
Biswas, Swati; Atienza, Philamer; Chipman, Jonathan; Hughes, Kevin S.; Barrera, Angelica M. Gutierrez; Amos, Christopher I.; Arun, Banu; Parmigiani, Giovanni (Springer Nature, 2013)Purpose: Health care providers need simple tools to identify patients at genetic risk of breast and ovarian cancers. Genetic risk prediction models such as BRCAPRO could fill this gap if incorporated into Electronic Medical ... -
A Two-Stage Approach to Genetic Risk Assessment in Primary Care
Biswas, Swati; Atienza, Philamer; Chipman, Jonathan; Blackford, Amanda L.; Arun, Banu; Hughes, Kevin; Parmigiani, Giovanni (Springer Nature, 2016-01)Genetic risk prediction models such as BRCAPRO are used routinely in genetic counseling for identification of potential BRCA1 and BRCA2 mutation carriers. They require extensive information on the counselee and her family ...