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727 citation(s) found for "Xu, Jeff L".

Pilot evaluation of paroxetine for alleviation of hot flashes in men
Loprinzi, Charles L. , Barton, Debra L. , Sloan, Jeff A. , Novotny, Paul J. , Carpenter, Lisa A., Gettman, Matthew T., Christensen, Bradley J.

Journal of Clinical Oncology | April 5, 2017 | Volume: 22 | Issue: 14_suppl | Pages: 8016-8016

10.1200/jco.2004.22.90140.8016 Get It

Prospective NCCTG quality of life (QOL) study in adult newly diagnosed high-grade gliomas (HGG)
Brown, Paul D. , Rummans, Teresa A. , Sloan, Jeff A. , Arusell, Robert M., Clark, Matthew M. , Buckner, Jan C. , Ballman, Karla V. , Maurer, Matthew J. , Boeve, Bradley F.

Journal of Clinical Oncology | April 5, 2017 | Volume: 22 | Issue: 14_suppl | Pages: 1524-1524

10.1200/jco.2004.22.90140.1524 Get It

Improved Statistical Methods for Evaluation of Stability of In Vitro Diagnostic Reagents
Holland, Mark D. , Kraght, Paul, Akbas, Neval, Budd, Jeffrey R. , Klee, George G.

Statistics in Biopharmaceutical Research | March 31, 2017 | Volume: 9 | Issue: 3 | Pages: 272-278

10.1080/19466315.2017.1305287 Get It

Prostate cancer specific mortality and overall survival outcomes for salvage radiation therapy after radical prostatectomy.
Michalski, Jeff M. , Pisansky, Thomas M. , Pollack, Alan , Zietman, Anthony L., Stephans, Kevin L. , Gao, Tianming , Stephenson, Andrew J. , Tendulkar, Rahul D. , Agrawal, Shree , Efstathiou, Jason A. , Koontz, Bridget F. , Liauw, Stanley L. , Abramowitz, Matthew C. , Anscher, Mitchell S. , Moghanaki, Drew M. , Den, Robert B. , Lee, W. Robert , Hearn, Jason W.D. , Spratt, Daniel E. , Kattan, Michael W.

Journal of Clinical Oncology | March 29, 2017 | Volume: 35 | Issue: 6_suppl | Pages: 9-9

10.1200/jco.2017.35.6_suppl.9 Get It

9 Background: Early salvage radiation therapy (SRT) following radical prostatectomy (RP) has been shown to reduce biochemical recurrence and distant metastases. We aim to identify factors predictive of prostate cancer-specific mortality (PCSM) and all-cause mortality (ACM) from a consortium database from 10 academic institutions. Methods: 2,454 node-negative patients (pts) with detectable post-prostatectomy PSA ( ≥ 0.01 ng/mL) treated with SRT ± neoadjuvant/concurrent androgen deprivation therapy (N/C ADT) were included. Cumulative incidence and Kaplan-Meier methods were used to estimate rates of PCSM and ACM, respectively. Univariate and multivariable analyses (MVA) were performed by competing risks regression and Cox proportional hazards methods for PCSM and ACM. Results: Median follow-up was 5 years from SRT completion and 8 years from date of RP; 24% had pathologic Gleason score (GS) of ≤ 6, 56% GS 7, and 19% GS ≥ 8; 56% extraprostatic extension (EPE), 18% seminal vesicle invasion (SVI), 58% positive surgical margins, and 16% received N/C ADT. Median age at RP and SRT were 62 years (IQR 56-66) and 64 years (59-69), respectively. Median SRT dose was 66 Gy (IQR 65-68) and median pre-SRT PSA was 0.5 ng/mL (IQR 0.3-1.1). MVA performed from SRT completion date demonstrated higher pre-SRT PSA (HR = 2.1), higher GS (GS 7 vs. ≤ 6: HR 2.0; GS ≥ 8 vs. 6: HR 3.3) , SVI (HR 2.5), year of SRT (2000-2004, 1995-1999, 1985-1994 vs. 2005-2012; HR 2.9, HR 2.5, HR 3.6, respectively) were significantly associated with higher PCSM. These same variables were all significantly associated with higher PCSM and ACM rates calculated from both SRT completion date and date of RP. Conclusions: Initiation of early SRT at lower post-operative PSA levels following RP is associated with reduced risk of PCSM and ACM, even when calculated from RP date to account for lead time bias. Other factors significantly associated with PCSM include higher GS, SVI, and earlier year of SRT. [Table: see text]
Evaluation of different recall periods for the US National Cancer Institute’s PRO-CTCAE
Mendoza, Tito R. , Dueck, Amylou C. , Atkinson, Thomas M. , Li, Yuelin , Castro, Kathleen M. , Denicoff, Andrea , Rogak, Lauren J. , Cleeland, Charles S. , Sloan, Jeff A. , Basch, Ethan , Dueck, A. C. , Bennett, Antonia V , Mitchell, Sandra A , Reeve, Bryce B. , Piekarz, Richard , Schrag, Deborah , Basch, Ethan , Mendoza, Tito , Li, Yuelin

Clinical Trials | March 20, 2017 | Volume: 14 | Issue: 3 | Pages: 255-263

10.1177/1740774517698645 | PMID 28545337 Get It

Aims: The US National Cancer Institute recently developed the PRO-CTCAE (Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events). PRO-CTCAE is a library of questions for clinical trial participants to self-report symptomatic adverse events (e.g. nausea). The objective of this study is to inform evidence-based selection of a recall period when PRO-CTCAE is included in a trial. We evaluated differences between 1-, 2-, 3-, and 4-week recall periods, using daily reporting as the reference. Methods: English-speaking patients with cancer receiving chemotherapy and/or radiotherapy were enrolled at four US cancer centers and affiliated community clinics. Participants completed 27 PRO-CTCAE items electronically daily for 28 days, and then weekly over 4 weeks, using 1-, 2-, 3-, and 4-week recall periods. For each recall period, mean differences, effect sizes, and intraclass correlation coefficients were calculated to evaluate agreement between the maximum of daily ratings and the corresponding ratings obtained using longer recall periods (e.g. maximum of daily scores over 7 days vs 1-week recall). Analyses were repeated using the average of daily scores within each recall period rather than the maximum of daily scores. Results: A total of 127 subjects completed questionnaires (57% male; median age: 57). The median of the 27 mean differences in scores on the PRO-CTCAE 5-point response scale comparing the maximum daily versus the longer recall period (and corresponding effect size) was −0.20 (−0.20) for 1-week recall, −0.36 (−0.31) for 2-week recall, −0.45 (−0.39) for 3-week recall, and −0.47 (−0.40) for 4-week recall. The median intraclass correlation across 27 items between the maximum of daily ratings and the corresponding longer recall ratings for 1-week recall was 0.70 (range: 0.54–0.82), for 2-week recall was 0.74 (range: 0.58–0.83), for 3-week recall was 0.72 (range: 0.61–0.84), and for 4-week recall was 0.72 (range: 0.64–0.86). Similar results were observed for all analyses using the average of daily scores rather than the maximum of daily scores. Conclusion: A 1-week recall corresponds best to daily reporting. Although intraclass correlations remain stable over time, there are small but progressively larger differences between daily and longer recall periods at 2, 3, and 4 weeks, respectively. The preferred recall period for the PRO-CTCAE is the past 7 days, although investigators may opt for recall periods of 2, 3, or 4 weeks with an understanding that there may be some information loss.
Esthesioneuroblastoma and Olfactory Preservation: Does This Unicorn Exist and Is It Reasonable to Attempt Smell Preservation?
Ryan, Tarek, Hughes, Josh, Stokken, Janalee K., Janus, Jeff, Price, D.L., Link, Micheal, Gompel, Jamie J. Van , Hughes, Joshua

Journal of Neurological Surgery Part B: Skull Base | March 3, 2017 | Volume: 78 | Issue: S 01 | Pages: S1-S156

10.1055/s-0037-1600591 Get It

A comparative study of automatic image segmentation algorithms for target tracking in MR‐IGRT
Kawrakow, I., Olsen, Jeff, Parikh, Parag J., Wooten, O., Du, D. , Mutic, Sasa , Hu, Yanle , Feng, Yuan , Noel, Camille E.

Journal of Applied Clinical Medical Physics | February 27, 2017 | Volume: 17 | Issue: 2 | Pages: 441-460

10.1120/jacmp.v17i2.5820 | PMID 27074465 Get It

On‐board magnetic resonance (MR) image guidance during radiation therapy offers the potential for more accurate treatment delivery. To utilize the real‐time image information, a crucial prerequisite is the ability to successfully segment and track regions of interest (ROI). The purpose of this work is to evaluate the performance of different segmentation algorithms using motion images (4 frames per second) acquired using a MR image‐guided radiotherapy (MR‐IGRT) system. Manual contours of the kidney, bladder, duodenum, and a liver tumor by an experienced radiation oncologist were used as the ground truth for performance evaluation. Besides the manual segmentation, images were automatically segmented using thresholding, fuzzy k‐means (FKM), k‐harmonic means (KHM), and reaction‐diffusion level set evolution (RD‐LSE) algorithms, as well as the tissue tracking algorithm provided by the ViewRay treatment planning and delivery system (VR‐TPDS). The performance of the five algorithms was evaluated quantitatively by comparing with the manual segmentation using the Dice coefficient and target registration error (TRE) measured as the distance between the centroid of the manual ROI and the centroid of the automatically segmented ROI. All methods were able to successfully segment the bladder and the kidney, but only FKM, KHM, and VR‐TPDS were able to segment the liver tumor and the duodenum. The performance of the thresholding, FKM, KHM, and RD‐LSE algorithms degraded as the local image contrast decreased, whereas the performance of the VP‐TPDS method was nearly independent of local image contrast due to the reference registration algorithm. For segmenting high‐contrast images (i.e., kidney), the thresholding method provided the best speed ( ) with a satisfying accuracy ( ). When the image contrast was low, the VR‐TPDS method had the best automatic contour. Results suggest an image quality determination procedure before segmentation and a combination of different methods for optimal segmentation with the on‐board MR‐IGRT system. PACS number(s): 87.57.nm, 87.57.N‐, 87.61.Tg
Discontinuing chronic medications: Perceptions of patients with life-limiting illness.
Kutner, Jean S. , McPherson, Mary Lynn , Sloan, Jeff A. , Abernethy, Amy Pickar, Ritchie, Christine Seel , Furuno, Jon P. , Prince‐Paul, Maryjo , Tjia, Jennifer , Somers, Tamara J. , Blatchford, Patrick Jud

Journal of Clinical Oncology | February 24, 2017 | Volume: 32 | Issue: 31_suppl | Pages: 97-97

10.1200/jco.2014.32.31_suppl.97 Get It

97 Background: Optimal management of chronic medications is uncertain in life-limiting illness. To inform shared decision making, we assessed patient perceptions in a trial on the safety of discontinuing statins in life-limiting illness. Methods: Eligible adults (life expectancy 1–12 months, on statin for ≥ 3 months for primary/secondary prevention, recent functional decline, no active cardiovascular disease) were randomized to discontinue or continue statins and were followed monthly for up to 1 year. Cognitively intact participants were asked 9 questions regarding discontinuing statins prior to randomization. We used Pearson chi-square to compare responses between study groups and between those with and without cancer. Of 381 participants, 297 (78%) were cognitively intact (138 discontinued, 159 continued statins). Mean age was 72 years (SD 11) and mean number of medications used was 11.5 (SD 5.0); 58% (N = 173) had cancer. Results: There were no statistically significant differences between the study groups in responses to the medication perception questions. Aggregate findings are presented (Table). Patients with cancer were less likely to think that they may be able to stop other medications (28% vs. 42%, p=0.007) and that statin discontinuation means that the doctor is giving up on them (1% vs. 7%, p=0.013). Conclusions: Few participants expressed concerns about discontinuing statins; many perceived potential benefits. Cancer patients may perceive less impact from stopping statins. Clinicians should inquire about patient concerns when engaging in shared decision making about discontinuing chronic medications in the setting of advanced cancer. Clinical trial information: NCT01415934. [Table: see text]
Relationship of initial quality-of-life deficit and survival in esophageal cancer (EC): The Mayo Clinic Romero Registry experience.
Anderson, Bradley W., Liu, Heshan , Ginos, Brenda, Romero, Yvonne , Jatoi, Aminah , Deschamps, Claude, Sloan, Jeff A. , Sio, Terence T. , Miller, Robert C.

Journal of Clinical Oncology | February 24, 2017 | Volume: 32 | Issue: 3_suppl | Pages: 97-97

10.1200/jco.2014.32.3_suppl.97 Get It

97 Background: A diagnosis of EC significantly impairs patient (pt)’s survival and quality of life (QoL). We explored the relationship between pt-assessed QoL and survival. Methods: The Mayo Clinic Romero (formerly Esophageal Adenocarcinoma-Barrett's Esophagus) Registry prospectively collects clinical data during a pt's treatment course. QoL is recorded at enrollment (baseline) and annually using a validated 12-item Linear Analog Self-Assessment (LASA). A 10-pt scale is applied; ≤5 was termed clinically deficient QoL. Initial TNM staging, clinical (age, sex, prior chemotherapy, and esophagectomy), and socioeconomic variables (marital/employment status) were analyzed using Cox proportional hazards regression models. Results: 836 pts were analyzed. Median age was 64 years. 166, 506 and 164 pts had early, locally advanced, and metastatic EC, with 5-year survival rates of 75.1%, 33.6%, and 8.1%, respectively (P≤.0001). Poorer survival rates were seen in clinically QoL deficient pts in the following categories: Overall QoL (Hazard Ratio [H.R.] 0.66; 95% C.I., 0.54-0.80; P≤.0001) and LASA subsets for physical (H.R. 0.68; 95% C.I., 0.57-0.82; P≤.0001), emotional well-being (H.R. 0.69; C.I., 0.57-0.84; P=.0003), and social activity (H.R. 0.76; C.I., 0.63-0.91; P=.0028). No difference in survival was observed for marital or employment status, familial support, and financial/legal concerns. Pts with esophagectomy prior to LASA evaluation had improved survival (H.R. 0.68; 95% C.I., 0.55-0.85; P=.0005). No survival difference was observed whether pts received chemotherapy, before or after their baseline LASA evaluation. Conclusions: A strong association exists between pt’s overall survival and better overall QOL, physical, emotional well-being, and social activities. Using LASA to clinically monitor QoL at specified intervals may afford providers the opportunity to intervene when patients begin to experience QoL decline. The determinants of clinically deficit QoL and its impact on survival warrant further translational and prospective research.
Prospective evaluation of a 12-gene assay on patient treatment decisions and physician confidence in mismatch repair-proficient (MMR-P) stage IIa colon cancer patients.
Renfro, Lindsay A. , Lopatin, Margarita , Tezcan, Haluk, Sloan, Jeff A. , Alberts, Steven R. , Chao, Calvin Y. , Lee, Mark

Journal of Clinical Oncology | February 24, 2017 | Volume: 32 | Issue: 3_suppl | Pages: 396-396

10.1200/jco.2014.32.3_suppl.396 Get It

396 Background: The 12-gene Oncotype DXColon Cancer Assay is clinically validated as a predictor of recurrence risk in stage II colon cancer patients following surgery. We previously reported that the 12-gene assay led to 45% change in physician treatment (Tx) recommendations in a prospective study in MMR-P stage IIA colon cancer patients. Here, from the same prospective study, we report the influence of the 12-gene assay on patient Tx decisions, physician confidence, concordance in Tx choice between physicians and patients, and patient decisional conflict. Methods: Consecutive patients with resected stage IIA colon cancer who were candidates for adjuvant chemotherapy were enrolled by 105 physicians from 17 sites. Patient's tumor specimens were assessed by the 12-gene assay (RT-PCR) and MMR (IHC). Prior to and after receiving these results, patients completed surveys including (1) their Tx decisions (observation (Obs) vs. 5FU-monotherapy (5FU) vs. 5FU + oxaliplatin (Oxal)) and (2) indicators of decisional conflict. Results: 190 of 221 patients enrolled were evaluable including 139 who were MMR-P. Pre-assay: 46% of patients chose Obs, 3% 5FU, 7% Oxal, 2% other and 41% were undecided. Post-assay: 75% chose Obs, 12% 5FU, 11% Oxal, 3% other (undecided was not a possible response). Post-assay 129 (96%) of 135 definitive Tx decisions (Obs, 5FU, or Oxal) were concordant between patients and physicians compared to 49 (66%) of 74 definitive decisions pre-assay. In the majority of cases, patients (85%) and physicians (69%) reported that the assay influenced their Tx decisions. Assay results increased physician confidence in Tx recommendations in 126 (84%) and provided additional clinically relevant information to physicians in 129 (86%) of cases. Patient decisional conflict was significantly lower after assay results (p<0.001). Conclusions: In this prospective study, quantitative recurrence risk information provided by the 12-gene assay influenced Tx decisions for a majority of patients and physicians, increased physician confidence, improved concordance in Tx choice between patients and physicians and decreased patient decisional conflict.