Treatment outcomes and survival following definitive (chemo) radiotherapy in HPV ‐positive oropharynx cancer: Large‐scale comparison of DAHANCA vs PMH cohorts

Author(s):  
Pernille Lassen ◽  
Shao Hui Huang ◽  
Jie Su ◽  
John Waldron ◽  
Maria Andersen ◽  
...  
Oral Oncology ◽  
2021 ◽  
Vol 118 ◽  
pp. 17
Author(s):  
Pernille Lassen ◽  
Shao Hui Huang ◽  
Jie Su ◽  
Brian O'sullivan ◽  
Maria Andersen ◽  
...  

Oral Oncology ◽  
2019 ◽  
Vol 97 ◽  
pp. 124-130
Author(s):  
Fatimah Alfaraj ◽  
Tim Craig ◽  
Shao Hui Huang ◽  
Brian O'Sullivan ◽  
Jie Su ◽  
...  

2016 ◽  
Vol 17 (5) ◽  
pp. 519-524 ◽  
Author(s):  
Travis R. Ladner ◽  
Jacob K. Greenberg ◽  
Nicole Guerrero ◽  
Margaret A. Olsen ◽  
Chevis N. Shannon ◽  
...  

OBJECTIVE Administrative billing data may facilitate large-scale assessments of treatment outcomes for pediatric Chiari malformation Type I (CM-I). Validated International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code algorithms for identifying CM-I surgery are critical prerequisites for such studies but are currently only available for adults. The objective of this study was to validate two ICD-9-CM code algorithms using hospital billing data to identify pediatric patients undergoing CM-I decompression surgery. METHODS The authors retrospectively analyzed the validity of two ICD-9-CM code algorithms for identifying pediatric CM-I decompression surgery performed at 3 academic medical centers between 2001 and 2013. Algorithm 1 included any discharge diagnosis code of 348.4 (CM-I), as well as a procedure code of 01.24 (cranial decompression) or 03.09 (spinal decompression or laminectomy). Algorithm 2 restricted this group to the subset of patients with a primary discharge diagnosis of 348.4. The positive predictive value (PPV) and sensitivity of each algorithm were calculated. RESULTS Among 625 first-time admissions identified by Algorithm 1, the overall PPV for CM-I decompression was 92%. Among the 581 admissions identified by Algorithm 2, the PPV was 97%. The PPV for Algorithm 1 was lower in one center (84%) compared with the other centers (93%–94%), whereas the PPV of Algorithm 2 remained high (96%–98%) across all subgroups. The sensitivity of Algorithms 1 (91%) and 2 (89%) was very good and remained so across subgroups (82%–97%). CONCLUSIONS An ICD-9-CM algorithm requiring a primary diagnosis of CM-I has excellent PPV and very good sensitivity for identifying CM-I decompression surgery in pediatric patients. These results establish a basis for utilizing administrative billing data to assess pediatric CM-I treatment outcomes.


2020 ◽  
Vol 44 (3) ◽  
pp. 238-245
Author(s):  
Su Hwan Bae ◽  
Won Jun Kim ◽  
Yu Jin Seo ◽  
JaYoung Kim ◽  
Jae Yong Jeon

Objective To determine whether the bioimpedance analysis (BIA) ratios of upper to lower extremities could predict treatment outcomes after complex decongestive therapy (CDT) for gynecological cancer related lymphedema (GCRL).Methods A retrospective study, from March 2015 to December 2018, was conducted. The study sample comprised patients receiving CDT, 30 minutes per day, for 10 days. Bioimpedance was measured pre- and post-CDT. Circumference measurements were obtained at 20 and 10 cm above the knee (AK) and 10 cm below the knee (BK). We calculated the expected impedance at 0 Hz (R0) of extremities and upper/lower extremity R0 ratios (R0<sub>U/L</sub>). We evaluated the relationship between R0<sub>U/L</sub> and changes in R0<sub>U/L</sub> and circumferences, pre- and post-CDT.Results Overall, 59 patients were included in this study. Thirty-one lower extremities in 26 patients comprised the acute group, and 38 lower extremities in 33 patients comprised the chronic group. Pre-treatment R0<sub>U/L</sub> was significantly correlated with R0<sub>U/L</sub> change after adjusting for age and BMI (acute: R=0.513, p<0.01; chronic: R=0.423, p<0.01). In the acute group, pre-treatment R0<sub>U/L</sub> showed a tendency to be correlated with circumference change (AK 20 cm: R=0.427, p=0.02; AK 10 cm: R=0.399, p=0.03).Conclusion Our study results suggested that pre-treatment BIA could predict volume reductions after CDT in the early stages of GCRL. These findings implied that BIA value could be one possible parameter to apply in treatment outcomes prediction, during the early stage of GCRL. Therefore, further large-scale prospective studies will be beneficial.


2021 ◽  
Author(s):  
Tae-Se Kim ◽  
Byung-Hoon Min ◽  
Yang Won Min ◽  
Hyuk Lee ◽  
Poong-Lyul Rhee ◽  
...  

Abstract BackgroundPrimary malignant melanoma of esophagus (PMME) is an extremely rare disease with poor prognosis. The aim of this study was to determine the clinical characteristics and treatment outcomes of patients with PMME. MethodsWe retrospectively reviewed 17 patients diagnosed with PMME in Samsung Medical Center between 2000 and 2020. Clinical characteristics and survival outcomes were analyzed. Results15 patients (88.2%) were male and the most common presenting symptom was dysphagia (9/17, 52.9%). On endoscopy, tumors were mass-forming in 15 patients (88.2%) and diffusely infiltrative in two patients (11.8%). Lesions were melanotic in 13 patients (76.5%) and amelanotic in four patients (23.5%). The most common anatomic location of tumor was lower esophagus (11/17, 64.7%). The disease was metastatic at the time of diagnosis in four patients (23.5%). As for treatment, 10 patients (58.8%) underwent surgery. In all 17 patients, the median overall survival was 10 months. In surgically treated patients, all patients experienced recurrence and the median disease-free survival was 4 months. There was no statistical difference in overall survival between patients with or without surgery. Patients with diffusely infiltrative tumor morphology had better overall survival compared to those with mass-forming tumor morphology (P = 0.048). Two patients who received immunotherapy as the first-line treatment without surgery showed overall survival of 34 and 18 months, respectively. ConclusionsAs radical resection for patients with PMME does not guarantee favorable treatment outcomes, novel treatment strategy is required. Further large-scale studies are warranted to determine the efficacy of immunotherapy for patients with PMME.


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